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Guangming Cao
- Professor
- Ext: 5154
Dr. Guangming Cao, BSc, MSc, PhD, is a Professor of Data Analytics and the Head of the Digital Transformation Research Center at Ajman University. He has taught in the UK, China, and the UAE. He is also a visiting professor at the Business and Management Research Institute (BMRI), University of Bedfordshire, UK. Dr. Cao has supervised seven PhD and more than 60 MSc/MBA students to completion. His research interests primarily focus on how ICTs, such as artificial intelligence, big data analytics, and social media, impact organizational decision-making, capabilities, and performance. He has published over 100 peer-reviewed articles in journals such as the European Journal of Operational Research, International Journal of Operations & Production Management, Journal of Business Research, Technovation, Industrial Marketing Management, IEEE Transactions on Engineering Management, Information Technology & People, International Journal of Management Review, Supply Chain Management, and Production Planning & Control. He won the IMM Best Paper Award 2023 for "Strategic Use of Social Media in Marketing and Financial Performance: The B2B SME Context." Dr. Cao serves as an Editorial Review Board Member for the International Journal of Information Management and the Journal of Computer Information Systems. He has also consulted for several SMEs in the UK on digital analytics issues.
Education
- PhD in Systems Thinking and Change Management, University of Luton, UK, 2001.
- MSc in Systems Engineering, Northwestern Polytechnical University, China,1985.
- BSc in Engineering, Northwestern Polytechnical University, China,1982.
PhD in Systems Thinking and Change Management, University of Luton, UK, 2001.
MSc in Systems Engineering, Northwestern Polytechnical University, China,1985.
BSc in Engineering, Northwestern Polytechnical University, China,1982.
Experience
- Professor of Data Analytics, College of Business Administration, Ajman University, UAE, September 2020 – Present.
- Visiting Professor at the Business and Management Research Institute (BMRI), University of Bedfordshire, UK, October 2022 – Present.
- Head of Management Department, College of Business Administration, Ajman University, January 2021 – August 2021.
- Head of Digital Transformation Research Centre, Ajman University, November 2020 – Present.
- Head of College Research Committee, College of Business Administration, Ajman University, August 2020 – August 2021.
- Associate Professor of Data Analytics, College of Business Administration, Ajman University, UAE, September 2019 – August 2020.
- Chair of Business School Ethics Committee, University of Bedfordshire, May 2017 – August 2019.
- Principal Lecturer in Business Systems, Business School, University of Bedfordshire, UK, February 2011 – August 2019.
- Full-time MBA Course Director, Business School, Ulster University, UK, August 2004 – July 2009.
- Lecturer in Management, Business School, University of Ulster, UK, September 2000 – January 2011.
- PhD Research Student with a Full PhD Scholarship, Business School, University of Luton, UK, October 1996 – August 2000.
- Visiting Fellow, Manchester Business School, UK, October 1995 – September 1996.
- Associate Dean of Management School, Northwestern Polytechnical University, China, 1993 – 1995.
- Associate Professor in Management, Management School, Northwestern Polytechnical University, China, 1992-1995.
- Director of Joint Sino-British MBA Programme, Management School, Northwestern Polytechnical University, China, 1991 – 1995.
- Dean Assistant, Management School, Northwestern Polytechnical University, China, August 1991 – July 1993.
- Lecturer in Management, Management Department, Northwestern Polytechnical University, China, September 1988 – April 1992.
- Head of Teaching and Research Group, Management Department, Northwestern Polytechnical University, China, August 1988 – July 1990.
- Visiting Scholar, Management School, Lancaster University, UK, September 1987 – August 1988.
- Assistant Lecturer in Management, Management Department, Northwestern Polytechnical University, China, May 1985 – August 1987.
Professor of Data Analytics, College of Business Administration, Ajman University, UAE, September 2020 – Present.
Visiting Professor at the Business and Management Research Institute (BMRI), University of Bedfordshire, UK, October 2022 – Present.
Head of Management Department, College of Business Administration, Ajman University, January 2021 – August 2021.
Head of Digital Transformation Research Centre, Ajman University, November 2020 – Present.
Head of College Research Committee, College of Business Administration, Ajman University, August 2020 – August 2021.
Associate Professor of Data Analytics, College of Business Administration, Ajman University, UAE, September 2019 – August 2020.
Chair of Business School Ethics Committee, University of Bedfordshire, May 2017 – August 2019.
Principal Lecturer in Business Systems, Business School, University of Bedfordshire, UK, February 2011 – August 2019.
Full-time MBA Course Director, Business School, Ulster University, UK, August 2004 – July 2009.
Lecturer in Management, Business School, University of Ulster, UK, September 2000 – January 2011.
PhD Research Student with a Full PhD Scholarship, Business School, University of Luton, UK, October 1996 – August 2000.
Visiting Fellow, Manchester Business School, UK, October 1995 – September 1996.
Associate Dean of Management School, Northwestern Polytechnical University, China, 1993 – 1995.
Associate Professor in Management, Management School, Northwestern Polytechnical University, China, 1992-1995.
Director of Joint Sino-British MBA Programme, Management School, Northwestern Polytechnical University, China, 1991 – 1995.
Dean Assistant, Management School, Northwestern Polytechnical University, China, August 1991 – July 1993.
Lecturer in Management, Management Department, Northwestern Polytechnical University, China, September 1988 – April 1992.
Head of Teaching and Research Group, Management Department, Northwestern Polytechnical University, China, August 1988 – July 1990.
Visiting Scholar, Management School, Lancaster University, UK, September 1987 – August 1988.
Assistant Lecturer in Management, Management Department, Northwestern Polytechnical University, China, May 1985 – August 1987.
Teaching Area
- Organizational Research Perspectives (DBA)
- Buisness Research Methods (MBA)
- Electronic Commerce (BSC)
- Project Management (BSC)
- Business Research Methods (BSC)
Organizational Research Perspectives (DBA)
Buisness Research Methods (MBA)
Electronic Commerce (BSC)
Project Management (BSC)
Business Research Methods (BSC)
Research
- Artificial Intelligence for Organizational Decision-making
- Big Data and Business Analytics
- Marketing Capabilities
- Business Value of Information Technology
- Strategic IT Alignment
- Supply Chain Management
- Systems Thinking
- IT-enabled change management
Artificial Intelligence for Organizational Decision-making
Big Data and Business Analytics
Marketing Capabilities
Business Value of Information Technology
Strategic IT Alignment
Supply Chain Management
Systems Thinking
IT-enabled change management
Publications
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JournalJH Liou, YM Li, SY Chen, G Cao (2024) Deriving Collective Recommendation with Aspect-Based Sentiment and Social Influence. Journal of Electronic Commerce Research 25 (4) (Q1/92%), Journal of Electronic Commerce Research, Nov 2024
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JournalQ Tian, G Cao, J Weerawardena (2024) Strategic use of social media in new product development in B2B firms: The role of absorptive capacity. Industrial Marketing Management, 120: 132-145 (ABS 3/ABDC-A*/Q1-94%), Industrial Marketing Management, Jul 2024
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JournalMZU Haq, G Cao, MZU Haq, G Cao (2024) Supply chain learning and environmental performance: leveraging relational capital and information technology. Industrial Management & Data Systems (Q1/94%), Industrial Management & Data Systems, Nov 2024
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JournalG Cao, Y Duan, G Cao, Y Duan (2024) Exploring the impact of business analytics on strategic decision-making in uncertain environments. Journal of Management Analytics, 1-24. (Q1/99%), Journal of Management Analytics, Nov 2024
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JournalJuusola, K, Boakye, K, Blankson, C. and Cao, G. 2023. A comparative examination of the motivating factors underpinning consumers’ loyalty toward credit card usage in the United States and France. (A in ABDC, ABS1, and Q1 in Scopus)., International Journal of Bank Marketing, Vol: 41, pp.1743 - 1768, Dec 2023
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JournalCadden, T, Weerawardena, J, Cao, G, McIvor, R., Duan, D. 2023. Examining the role of big data and marketing analytics in supporting SMEs innovation and competitive advantage: A knowledge integration perspective (A in ABDC, ABS3, and Q1 in Scopus)., Journal of Business Research, Nov 2023
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JournalCao, G. and Weerawardena, J 2023. Strategic use of social media in marketing and financial performance: The B2B SME context (A* in ABDC, ABS3, and Q1 in Scopus), winner of IMM Best Paper Award 2023, Industrial Marketing Management, May 2023
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JournalEnyinda, C., Blankson, C., Cao, G. and Enyinda, I. 2023. Can’t we all just get along? Resolving customer-focused teams interface conflicts in a B2B firm leveraging AHP-based multi-criteria decision-making (A in ABDC, ABS2, and Q1 in Scopus)., Journal of Business and Industrial Marketing, Jan 2023
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JournalCadden, T, McIvor, R., Cao, G., Treacy, R., Yang, Y., Gupta, M., Onofrei, G. 2022. Unlocking supply chain agility and supply chain performance through the development of intangible supply chain analytical capabilities (A in ABDC, ABS4, and Q1 in Scopus), International Journal of Operations and Production Management, May 2022
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JournalCao, G., Shaya, N., Enyinda, C., Abukhait, R. and Naboush, E. 2022. Students’ Relative Attitudes and Relative Intentions to Use E-Learning Systems (Q1 in Scopus), Journal of Information Technology Education: Research, Mar 2022
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JournalCao, G. and Tian, Q. 2022. Social Media Use and Its Effect on University Student’s Learning and Academic Performance in the UAE (C in ABDC and Q1 in Scopus)., Journal of Research on Technology in Education, Jan 2022
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JournalCao, C., Duan, D., Edwards, J., and Dwivedi, Y. 2021. Understanding Managers’ Attitudes and Behavioral Intentions Towards Using Artificial Intelligence for Organizational Decision-Making. Technovation, 106, 102312. (A in ABDC, ABS 3, and Q1 in Scopus) (One of the Most Cited, Downloaded, and Most Popular Articles since published online), Technovation, Vol: null, pp.null - null, Aug 2021, doi: null
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Journalnull, Bilgic, E., Cakir, O., Kantardzic, M., Duan, D. and Cao, G. 2021. Retail Analytics: Store Segmentation Using Rule-Based Purchasing Behaviors Analysis. The International Review of Retail, Distribution and Consumer Research (accepted) (B in ABDC, ABS1, Q2 in Scopus). https://doi.org/10.1080/09593969.2021.1915847, The International Review of Retail, Distribution and Consumer Research, Vol: null, pp.null - null, Aug 2021, doi: null
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Journalnull, Cao G., Duan Y., Tian N. 2021. Identifying the Configurational Conditions for Marketing Analytics Use in UK SME. Management Decision (accepted) (B in ABDC, ABS2, and Q1 in Scopus)., Management Decision, Vol: null, pp.null - null, Nov 2021, doi: null
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Journalnull, Cao, G., Tian, Q. and Blankson, C. 2022. Big Data, Marketing Analytics, and Firm Marketing Capabilities. Journal of Computer Information Systems (accepted) (A in ABDC, ABS2, and Q1 in Scopus)., Journal of Computer Information Systems, Vol: null, pp.null - null, May 2022, doi: null
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Journalnull, Cao, G and Tian, Q. 2020. Social Media Use and Its Effect on University Student’s Learning and Academic Performance in the UAE. Journal of Research on Technology in Education (accepted) (C in ABDC and Q1 in Scoupus). https://doi.org/10.1080/15391523.2020.1801538., null, Vol: null, pp.null - null, Jan 2022, doi: null
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Journalnull, Cadden, T., Cao, G., Yang, Y., McKittrick, A., McIvor, R. and Onofrei, G. 2021. The effect of buyers’ socialization efforts on the culture of their key strategic supplier and its impact on supplier operational performance. Production Planning & Control, 32(13), 1102-1118. (A in ABDC, ABS 3, and Q1 in Scopus)., Production Planning & Control, Vol: null, pp.null - null, Oct 2021, doi: null
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Journalnull, Cao. G and Tian N. 2020. Enhancing Customer-linking Marketing Capabilities Using Marketing Analytics. Journal of Business and Industrial Marketing (accepted) (A in ABDC, ABS2, and Q1 in Scopus), Journal of Business & Industrial Marketing, Vol: null, pp.null - null, Jun 2020, doi: null
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Journalnull, Duan, D.; Cao, C. and Edwards, J. 2020. Understanding the Impact of Business Analytics on Innovation, European Journal of Operational Research, 281(3), 673-686. https://doi.org/10.1016/j.ejor.2018.06.021. (A* in ABDC, ABS 4, and Q1 in Scopus)., European Journal of Operational Research, Vol: null, pp.null - null, Mar 2020, doi: null
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Journalnull, Al-Surmi, A., Cao, G. and Duan, Y. 2020. The Impact of Aligning Business, IT, and Marketing Strategies on Firm Performance. Industrial Marketing Management, 84: 39-49. (A* in ABDC, ABS3, and Q1 in Scopus)., Industrial Marketing Management, Vol: null, pp.null - null, Jan 2020, doi: null
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Bentley, Y., Cao, G. and Lehaney, B. 2013. The Application of Critical Systems Thinking to Enhance the Effectiveness of a University Information System, Systemic Practice and Action Research, 26:451-465. (B in ABDC, ABS2, and Q2 in Scopus).
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Cao, G., Wiengarten, F. and Humphreys, P. 2011. Towards a Contingency Resource-Based View of IT Business Value, Systemic Practice and Action Research, 24(1): 85-106. (B in ABDC, ABS2, and Q2 in Scopus).
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Wiengarten, F., Humphreys, P. and Cao, G. 2010. Collaborative supply chain practices and performance: Exploring the key role of information quality, Supply Chain Management, 15(6): 463-473. (A in ABDC, ABS3, and Q1 in Scopus).
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Cao, G. 2010. A four-dimensional view of IT business value, Systems Research and Behavioral Science, 27(3): 267-284. (A in ABDC, ABS2, and Q1 in Scopus).
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Cao, G. 2007. The Pattern-matching Role of Systems Thinking in Improving Research Trustworthiness, Systemic Practice and Action Research, 20(6): 441-453. (B in ABDC, ABS2, and Q2 in Scopus).
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Cao, G. and McHugh, M. 2005. A Systemic View of Change Management and Its Conceptual Underpinnings, Systemic Practice and Action Research, 18 (5): 475-490. (B in ABDC, ABS2, and Q2 in Scopus).
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Cao, G., Clarke, S. and Lehaney, B. 2004. The need for a systemic approach to change management—a case study, Systemic Practice and Action Research, 17(2): 103-126. (B in ABDC, ABS2, and Q2 in Scopus).
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Cao, G., Clarke, S. and Lehaney, B. 2003. Diversity management in organizational change: towards a systemic framework, Systems Research and Behavioral Science, 20(3): 231-242. (A in ABDC, ABS2, and Q1 in Scopus).
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Cao, G., Clarke, S. and Lehaney, B. 2001. A critique of BPR from a holistic perspective, Business Process Management Journal, 20(3): 332-339. (B in ABDC, ABS2, and Q1 in Scopus).
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Cao, G., Clarke, S. and Lehaney, B. 2000. TQM and organisational change, Measuring Business Excellence, 4(4). (B in ABDC, ABS2, and Q2 in Scopus).
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Cao, G., Clarke, S. and Lehaney, B. 1999. Towards systemic management of diversity in organizational change, Strategic Change, 8(4): 205-216. ( ABS2, and Q2 in Scopus).
JH Liou, YM Li, SY Chen, G Cao (2024) Deriving Collective Recommendation with Aspect-Based Sentiment and Social Influence. Journal of Electronic Commerce Research 25 (4) (Q1/92%), Journal of Electronic Commerce Research, Nov 2024
Despite the vast amount of restaurant information shared on social platforms, users often face difficulties identifying suitable options efficiently. Ratings are constrained by information narrowness, while textual reviews pose challenges due to information overload. Furthermore, restaurant recommendations based solely on ratings lack objectivity, as individual preferences differ. Users cannot judge whether a restaurant is worth visiting without credible information. However, few existing studies integrate semantic analysis with multidimensional orientation and social influence to make recommendations, leaving a gap in objective and comprehensive analysis. This research proposes a synthesis collective recommendation approach utilizing machine learning with aspect-based sentiment and social influence analyses. The proposed approach can appropriately adjust ratings as a basis for deciding the list of recommendations, considering location and preference factors. Experimental results show that the proposed mechanism significantly enhances users' ability to find restaurants that meet their needs, thereby improving business opportunities.
About the journal
Q Tian, G Cao, J Weerawardena (2024) Strategic use of social media in new product development in B2B firms: The role of absorptive capacity. Industrial Marketing Management, 120: 132-145 (ABS 3/ABDC-A*/Q1-94%), Industrial Marketing Management, Jul 2024
Business-to-business (B2B) small and medium-sized enterprises (SMEs) possess untapped potential in leveraging social media (SM) strategically to acquire external knowledge, a crucial catalyst for bolstering absorptive capacity and, consequently, improving new product development (NPD). Despite this potential, a research gap exists in the understanding of the intricate relationship between SM use, absorptive capacity, and NPD. We conceptualize SM use as a strategic capability and propose its impact on NPD both directly and indirectly through absorptive capacity processes. Surveying 146 managers in UK B2B SMEs, our findings reveal the nuanced and multifaceted connections between SM use, absorptive capacity processes, and NPD, broadly supporting our hypothesized relationships with interesting variations. This study provides valuable insights into the strategic use of SM for cultivating absorptive capacity, thereby enhancing NPD in B2B SMEs. The practical implications extend to businesses aiming to optimize SM use for knowledge acquisition and innovation.
About the journal
MZU Haq, G Cao, MZU Haq, G Cao (2024) Supply chain learning and environmental performance: leveraging relational capital and information technology. Industrial Management & Data Systems (Q1/94%), Industrial Management & Data Systems, Nov 2024
Purpose While the importance of supply chain learning (SCL) is widely recognized by both academia and industry, the mechanisms through which SCL is developed and its effects on environmental performance remain insufficiently understood. This study conceptualizes and empirically investigates the role of relational capital and information technology (IT) in enhancing SCL and improving environmental performance. Design/methodology/approach Drawing on socio-technical system theory (STS) and a knowledge-based view, this research employs structural equation modeling to test the proposed model, utilizing survey data collected from Chinese manufacturing companies. Findings The results demonstrate that relational capital with supplier and customer significantly enhances both supplier and customer learning. While IT does not directly impact supplier and customer learning, it exerts an indirect influence through its positive effect on relational capital. In other words, relational capital mediates the relationship between IT and supplier and customer learning. Additionally, this study finds that both supplier and customer learning enhance environmental performance. Practical implications This study provides actionable insights for managers, emphasizing the importance of relational capital in fostering SCL and improving environmental performance. By understanding these relationships, managers can develop more effective strategies for leveraging SCL as a tool for sustainability. Originality/value This study adds to the existing body of knowledge in supply chain management by offering a more nuanced and holistic model to explain how relational capital, IT and SCL interact to influence environmental performance, particularly within the context of Chinese manufacturing companies.
About the journal
G Cao, Y Duan, G Cao, Y Duan (2024) Exploring the impact of business analytics on strategic decision-making in uncertain environments. Journal of Management Analytics, 1-24. (Q1/99%), Journal of Management Analytics, Nov 2024
Business analytics presents significant opportunities for enhancing strategic decision-making (SDM), which is crucial for organizational competitiveness. However, there is a knowledge gap in understanding the interactions among environmental dynamism, business analytics use, environmental scanning, and rational and intuitive SDM. This paper addresses this gap by leveraging the information processing view and analyzing 218 survey responses using partial least squares (PLS) path modeling. It reveals that environmental dynamism influences business analytics use and environmental scanning. Business analytics use positively impacts rational SDM but negatively affects intuitive SDM. Environmental scanning partially mediates the relationship between business analytics use and rational SDM, and there is an inverse correlation between rational and intuitive SDM. This research introduces a novel theoretical framework, enriching the information processing view, and deepens understanding of how strategic information processing capabilities influence SDM. It also provides practical insights for organizations using business analytics to improve SDM processes in uncertain environments.
About the journal
Juusola, K, Boakye, K, Blankson, C. and Cao, G. 2023. A comparative examination of the motivating factors underpinning consumers’ loyalty toward credit card usage in the United States and France. (A in ABDC, ABS1, and Q1 in Scopus)., International Journal of Bank Marketing, Vol: 41, pp.1743 - 1768, Dec 2023
Purpose This study aims to develop and validate a cross-national framework to identify the motivation underpinning consumers' (i.e. the general public's) loyalty toward credit card usage. The following research questions guided the study: (1) What factors motivate consumers to stay loyal to their credit card? (2) Does the investment model (regarding satisfaction and investment size) mediate the relationship between factors motivating consumers to stay loyal to their credit card? Design/methodology/approach This study employs the investment model theory (Rusbult, 1980) as a theoretical framework and uses structural equation modeling to develop and validate a cross-national framework, addressing factors that motivate consumers to stay loyal to credit card brands. In addition, the authors test the mediating effect of the investment model on the relationship. Survey data were collected from the United States and France. Findings The findings revealed four factors (incentives, customer service, investment size and satisfaction) that impact consumer credit card loyalty behavior in the two mature credit card markets. The authors find empirical support for two of four hypotheses. That is, investment size mediates the relationship between incentives and consumer loyalty, and satisfaction mediates the relationship between customer service and consumer loyalty. Moreover, unlike the French sample, the American sample produced a significant finding for investment size to mediate the relationship between customer service and consumer loyalty. Originality/value This paper validates and extends the investment model theory in the marketing of credit cards within a cross-national setting. Most studies on credit card consumption focus on the college student segment, and there is less understanding of the motivation to stay loyal to using a credit card from the general public who are not necessarily college students. Given the scarce stream of empirical studies dealing with cross-national consumer motivation, choice criteria of credit cards, and loyalty toward credit cards, this research comes at an opportune moment as credit card firms differentiate their card brands in the global marketplace. Further, a dataset originating from two mature Western economies has been put forward for the benefit of practitioners and researchers.
About the journal
Cadden, T, Weerawardena, J, Cao, G, McIvor, R., Duan, D. 2023. Examining the role of big data and marketing analytics in supporting SMEs innovation and competitive advantage: A knowledge integration perspective (A in ABDC, ABS3, and Q1 in Scopus)., Journal of Business Research, Nov 2023
The age of digitisation has resulted in an explosion of studies investigating the benefits of Big Data Analytics (BDA) as a means to enhance competitive advantage in organisations. However, the best way to leverage BDA is still inconclusive. Moreover, there is paucity of studies investigating how SMEs, who are recognised as having high levels of entrepreneurial orientation, can utilise big data and marketing analytics to support innovation and competitive advantage in dynamic environments. This study employs dynamic capabilities as a lens to investigate the nuanced relationships. Adopting a partial least squares (PLS) path modelling method with 194 UK SMEs, this study finds that knowledge integration mechanisms are particularly critical value creation enablers by transforming EO and BDA into organisational wide capabilities in support of innovation and competitive advantage. These novel and nuanced insights are of value to both practitioner and researchers.
About the journal
Cao, G. and Weerawardena, J 2023. Strategic use of social media in marketing and financial performance: The B2B SME context (A* in ABDC, ABS3, and Q1 in Scopus), winner of IMM Best Paper Award 2023, Industrial Marketing Management, May 2023
While the strategic use of social media (SM) for enhancing firm performance has attracted much attention, little is known about it through the lens of business-to-business (B2B) small and medium-sized enterprises (SMEs). Building on the market-driven view and the dynamic capabilities view of competitive strategy, we examine SM use in a framework of market-sensing and customer-linking capabilities that influence firm performance. Our research model posits that market orientation stimulates SM use to enhance market-sensing capability thereby facilitating two customer-linking capabilities, namely customer relationship management and brand management, which collectively contribute to greater marketing performance and financial performance. Our research model is empirically tested using a survey of 143 UK B2B SMEs. The findings broadly support our theorization in which the strategic use of SM, an essential part of market-sensing capability, enhances customer-linking capabilities. Interestingly, although SM use influences brand management capability, its suggested influences on both customer relationship management capability and marketing performance occur only through the mediation of brand management capability. Both customer-linking capabilities positively influence marketing performance and in turn financial performance. Our findings provide novel conceptual and empirical advancement of how market-centric B2B SMEs strategically use SM to enhance their market-sensing and in turn customer-linking capabilities, and hence firm performance.
About the journal
Enyinda, C., Blankson, C., Cao, G. and Enyinda, I. 2023. Can’t we all just get along? Resolving customer-focused teams interface conflicts in a B2B firm leveraging AHP-based multi-criteria decision-making (A in ABDC, ABS2, and Q1 in Scopus)., Journal of Business and Industrial Marketing, Jan 2023
Purpose Rising expectations for exceptional customer experiences demand strategic amalgamation of cross-functional, customer-focused teams (marketing/sales/service departments). However, the long history of interface conflicts between functional teams continues to attract research attention. Past research has given more attention to conflicts between marketing and sales teams than to triadic interface conflict between custom-focused teams and their sub-conflicts in a business-to-business (B2B) sales process. The purpose of this research paper is to quantify the triadic interface conflicts and associated sub-conflicts between customer-focused teams, discuss conflict resolution strategies and perform a sensitivity analysis (SA) to give a fuller account of functional team conflict. Design/methodology/approach Multi-criteria decision-making (MCDM) based in the analytic hierarchy process (AHP) is proposed for identifying and resolving conflicts in customer-focused team interfaces. A group of 30 managers of a large electronics company participated in this research. The authors collected the data from customer-focused team managers during training sessions on interface conflicts and conflict management/resolution strategies. The authors perform SA to test the robustness of conflict resolution strategy rankings. Findings The findings reveal that managers adjudge task as the most crucial conflict attribute driving teams apart, followed by lack of communication. For the sub-conflicts, managers considered how to do the task as the most important conflict attribute, followed by lack of regular meetings. For conflict resolution strategies, managers regarded collaboration or integration as the overall best strategy, followed by compromise. Leveraging the AHP-based MCDM to resolve customer-focused team interface conflicts provides managers with the confidence in the consistency and the robustness of these solutions. By testing the SA, it is also discovered that the final outcome stayed robust (stable) regardless when the priorities of the main criteria influencing the decision are increased and decreased by 5% in every combinations. Research limitations/implications This study examined only a large B2B company in the electronics industry in African and Middle East settings, focusing on interface conflicts among customer-focused departments. Future research could address these limitations. Practical implications This paper advances our understanding of customer-focused team interface conflicts in a B2B sales process. It also provides valuable insights on effective management of major and sub-interface conflicts. This paper provides a framework for and practical insights into how interface conflicts that are prevalent in marketing, sales and service sectors can be resolved to improve customer experience and business performance. Originality/value This study contributes to the literature by developing an AHP-based MCDM, which not only extends our conceptual understanding of the interface conflicts between customer-focused teams by emphasizing their triadic nature but also provides valuable strategies and insights into the practical resolution of such conflicts in a B2B firm’s sales process. Methodologically, SA is valuable to ensuring the robustness of the conflict resolution strategies’ rankings that will influence relevant pragmatic decision-making.
About the journal
Cadden, T, McIvor, R., Cao, G., Treacy, R., Yang, Y., Gupta, M., Onofrei, G. 2022. Unlocking supply chain agility and supply chain performance through the development of intangible supply chain analytical capabilities (A in ABDC, ABS4, and Q1 in Scopus), International Journal of Operations and Production Management, May 2022
Purpose Increasingly, studies are reporting supply chain analytical capabilities as a key enabler of supply chain agility (SCAG) and supply chain performance (SCP). This study investigates the impact of environmental dynamism and competitive pressures in a supply chain analytics setting, and how intangible supply chain analytical capabilities (ISCAC) moderate the relationship between big data characteristics (BDC's) and SCAG in support of enhanced SCP. Design/methodology/approach The study draws on the literature on big data, supply chain analytical capabilities, and dynamic capability theory to empirically develop and test a supply chain analytical capabilities model in support of SCAG and SCP. ISCAC was the moderated construct and was tested using two sub-dimensions, supply chain organisational learning and supply chain data driven culture. Findings The results show that whilst environmental dynamism has a significant relationship on the three key BDC's, only the volume and velocity dimensions are significant in relation to competitive pressures. Furthermore, only the velocity element of BDC's has a significant positive impact on SCAG. In terms of moderation, the supply chain organisational learning dimension of ISCAC was shown to only moderate the velocity aspect of BDC's on SCAG, whereas for the supply chain data driven culture dimension of ISCAC, only the variety aspect was shown to moderate of BDC on SCAG. SCAG had a significant impact on SCP. Originality/value This study adds to the existing knowledge in the supply chain analytical capabilities domain by presenting a nuanced moderation model that includes external factors (environmental dynamism and competitive pressures), their relationships with BDC's and how ISCAC (namely, supply chain organisational learning and supply chain data driven culture) moderates and strengthens aspects of BDC's in support of SCAG and enhanced SCP.
About the journal
Cao, G., Shaya, N., Enyinda, C., Abukhait, R. and Naboush, E. 2022. Students’ Relative Attitudes and Relative Intentions to Use E-Learning Systems (Q1 in Scopus), Journal of Information Technology Education: Research, Mar 2022
Aim/Purpose This study, drawing on and extending research on the adoption of information technologies (IT), develops a research model to investigate: (1) the key relative factors that affect the adoption of e-learning versus using IT in traditional classrooms; and (2) students’ relative attitudes and relative intentions to use e-learning systems. Background Since the advent of the COVID-19 pandemic, higher education institutions (HEIs) have rapidly adopted e-learning and students are now engaging with e-learning systems. These systems present a new research opportunity for examining the relative efficacy of using e-learning systems versus using IT in traditional classrooms. Although prior research has examined various types of e-learning systems in different contexts and using various methodological approaches, evidence in the literature indicates that the relative efficacy of e-learning remains uncertain as little is known about the factors that affect the adoption and use of e-learning systems during COVID-19, as there is limited academic research. Methodology The model is tested based on the perceptions of a group of 569 students of the adoption of e-learning versus using IT in traditional classrooms in the United Arab Emirates. The data were analyzed with IBM SPSS statistics 26 and partial least squares structural equation modeling (PLS-SEM) implemented in SmartPLS 3 software. Contribution This research contributes to the literature by: (1) extending the UTAUT model to understand students’ relative attitudes and relative behavioral intentions towards using e-learning systems; (2) an extension to e-learning studies to examine relative factors affecting the adoption of e-learning systems by comparing the perceptions of the same group of students on e-learning and using IT in a traditional classroom environment in the context of COVID-19; and (3) providing valuable practical implications for HEIs to improve pedagogical approaches and e-learning systems. Findings The findings suggest that relative computer self-efficacy, relative cognitive absorption, relative system interactivity, and relative system functionality each positively influence both relative performance expectancy and relative effort expectancy, which in turn affect relative attitude; and that relative intention to use is positively affected by relative attitude and relative facilitating conditions. Recommendations for Practitioners Firstly, HEIs should feel more confident that e-learning systems indeed provide an appropriate learning approach, demonstrated by a high relative efficacy of e-learning systems perceived by the sample students in this study. Thus, it seems fitting for HEIs to use e-learning systems to enhance the development and delivery of programs and the quality of student experience, especially in the context of COVID-19. Secondly, HEIs wishing to use e-learning systems successfully should at least pay attention to a few key factors to ensure that students will have a positive attitude toward using e-learning systems. Such factors include students’ perceived usefulness of e-learning systems, developing encouraging facilitating conditions such as training, technical and IT support, thereby enabling students to use e-learning systems while enjoying their engagement with e-learning systems. Recommendation for Researchers First, this study shows that relative to using IT in a classroom environment, e-learning is favored by the students involved in this research. Second, this research indicates the value of examining relative antecedents and relative UTAUT related constructs, evaluating the relative perceptions of students, thereby understanding the relative efficacy of e-learning systems versus using IT in a traditional classroom environment in HEIs. Third, in addition to examining students’ perceptions of different learning approaches, or comparing the relative efficacy of different learning approaches based on the perceptions of different groups of students, the relative approach based on comparing the perceptions of the same group of students used in this research could offer a new way to advance our understanding of IT adoption. Finally, this study demonstrates that relative attitude, relative performance expectancy, and relative facilitating conditions are the top three vital factors that affect the adoption and use of e-learning systems during the COVID-19 crisis. Impact on Society The positive result of the students’ relative perceptions of e-learning systems suggests that private and public organizations, as well as education policy-makers in providing the learning process, could certainly use e-learning systems as a valuable means of training and/or education, especially during the COVID-19 pandemic.
About the journal
Cao, G. and Tian, Q. 2022. Social Media Use and Its Effect on University Student’s Learning and Academic Performance in the UAE (C in ABDC and Q1 in Scopus)., Journal of Research on Technology in Education, Jan 2022
While there is evidence to indicate that social media use (SMU) has various effects on student learning and academic performance, relevant studies are still scarce while the findings are notably inconsistent. This study seeks to answer one key question: what are the mechanisms through which SMU affects student learning and academic performance? Drawing on the principles of connectivism, a research model is developed and empirically tested based on the analysis of 256 responses. The finding indicates an indirect relationship between SMU and student academic performance, intervened by student collaborative learning, student-instructor interaction, and academic distraction. This finding provides empirical evidence to support the principles of connectivism; and helps extend the scope of research on SMU and its effect on student learning and academic performance.
About the journal
Cao, C., Duan, D., Edwards, J., and Dwivedi, Y. 2021. Understanding Managers’ Attitudes and Behavioral Intentions Towards Using Artificial Intelligence for Organizational Decision-Making. Technovation, 106, 102312. (A in ABDC, ABS 3, and Q1 in Scopus) (One of the Most Cited, Downloaded, and Most Popular Articles since published online), Technovation, Vol: null, pp.null - null, Aug 2021, doi: null
While using artificial intelligence (AI) could improve organizational decision-making, it also creates challenges associated with the “dark side” of AI. However, there is a lack of research on managers' attitudes and intentions to use AI for decision making. To address this gap, we develop an integrated AI acceptance-avoidance model (IAAAM) to consider both the positive and negative factors that collectively influence managers' attitudes and behavioral intentions towards using AI. The research model is tested through a large-scale questionnaire survey of 269 UK business managers. Our findings suggest that IAAAM provides a more comprehensive model for explaining and predicting managers' attitudes and behavioral intentions towards using AI. Our research contributes conceptually and empirically to the emerging literature on using AI for organizational decision-making. Further, regarding the practical implications of using AI for organizational decision-making, we highlight the importance of developing favorable facilitating conditions, having an effective mechanism to alleviate managers’ personal concerns, and having a balanced consideration of both the benefits and the dark side associated with using AI.
About the journal
null, Bilgic, E., Cakir, O., Kantardzic, M., Duan, D. and Cao, G. 2021. Retail Analytics: Store Segmentation Using Rule-Based Purchasing Behaviors Analysis. The International Review of Retail, Distribution and Consumer Research (accepted) (B in ABDC, ABS1, Q2 in Scopus). https://doi.org/10.1080/09593969.2021.1915847, The International Review of Retail, Distribution and Consumer Research, Vol: null, pp.null - null, Aug 2021, doi: null
Retailers are facing challenges in making sense of the significant amount of data available for a better understanding of their customers. While retail analytics plays an increasingly important role in successful retailing management, comprehensive store segmentation based on Data Mining-based Retail Analytics is still an under-researched area. This study seeks to address this gap by developing a novel approach to segment the stores of retail chains based on ‘purchasing behavior of customers’ and applying it in a case study. The applicability and benefits of using Data Mining techniques to examine purchasing behavior and identify store segments are demonstrated in a case study of a global retail chain in Istanbul, Turkey. Over 600 K transaction data of a global grocery retailer are analyzed and 175 stores in Istanbul are successfully segmented into five segments. The results suggest that the proposed new retail analytics approach enables the retail chain to identify clusters of stores in different regions using all transaction data and advances our understanding of store segmentation at the store level. The proposed approach will provide the retail chain the opportunity to manage store clusters by making data-driven decisions in marketing, customer relationship management, supply chain management, inventory management and demand forecasting.
About the journal
null, Cao G., Duan Y., Tian N. 2021. Identifying the Configurational Conditions for Marketing Analytics Use in UK SME. Management Decision (accepted) (B in ABDC, ABS2, and Q1 in Scopus)., Management Decision, Vol: null, pp.null - null, Nov 2021, doi: null
Purpose While marketing analytics can be used to improve organizational decision-making and performance significantly, little research exists to examine how the configurations of multiple conditions affect marketing analytics use. This study draws on configuration theory to investigate marketing analytics use in small and medium-sized enterprises (SMEs). Design/methodology/approach This research employs a fuzzy-set qualitative comparative analysis using data collected from a survey of 187 managers in UK SMEs. Findings The key findings show that (1) configurations of multiple conditions provide alternative pathways to marketing analytics use, and (2) the configurations for small firms are different from those for medium-sized firms. Research limitations/implications The research results are based on several key configurational factors and a single key-informant method to collect subjective data from UK SME managers. Practical implications The study helps SMEs to understand that marketing analytics use is influenced by the interaction of multiple conditions, that there are alternative pathways to marketing analytics use, and that SMEs should choose the configuration that fits best with their organizational contexts. Originality/value The study contributes to the literature by addressing an important yet underresearched area, i.e. marketing analytics use in SMEs, applying a configurational approach to the research phenomenon. It highlights different pathways to marketing analytics use in SMEs. The findings provide empirical evidence on the possibility and implication of marketing analytics use being asymmetrical and different between small and medium-sized firms.
About the journal
null, Cao, G., Tian, Q. and Blankson, C. 2022. Big Data, Marketing Analytics, and Firm Marketing Capabilities. Journal of Computer Information Systems (accepted) (A in ABDC, ABS2, and Q1 in Scopus)., Journal of Computer Information Systems, Vol: null, pp.null - null, May 2022, doi: null
While big data, marketing analytics, and firm marketing capabilities are all potential drivers of competitive advantage, there is limited research that investigates the interrelationship between them. This study aims to address this gap by examining the mechanisms through which big data and marketing analytics can be used to enhance firm marketing capabilities. Drawing on the dynamic capability view, a research model is developed and tested based on an analysis of 316 survey responses. The findings demonstrate positive effects of the use of big data on the use of marketing analytics, and the latter’s effect on firm marketing planning, marketing implementation, brand management, customer relationship management, and product development management. This study helps advance our understanding of firm marketing capability-enhancing processes through the use of big data and marketing analytics. It also provides practical implications to guide firms in using big data and marketing analytics to improve their marketing capabilities.
About the journal
null, Cao, G and Tian, Q. 2020. Social Media Use and Its Effect on University Student’s Learning and Academic Performance in the UAE. Journal of Research on Technology in Education (accepted) (C in ABDC and Q1 in Scoupus). https://doi.org/10.1080/15391523.2020.1801538., null, Vol: null, pp.null - null, Jan 2022, doi: null
While there is evidence to indicate that social media use (SMU) has various effects on student learning and academic performance, relevant studies are still scarce while the findings are notably inconsistent. This study seeks to answer one key question: what are the mechanisms through which SMU affects student learning and academic performance? Drawing on the principles of connectivism, a research model is developed and empirically tested based on the analysis of 256 responses. The finding indicates an indirect relationship between SMU and student academic performance, intervened by student collaborative learning, student-instructor interaction, and academic distraction. This finding provides empirical evidence to support the principles of connectivism; and helps extend the scope of research on SMU and its effect on student learning and academic performance.
About the journal
null, Cadden, T., Cao, G., Yang, Y., McKittrick, A., McIvor, R. and Onofrei, G. 2021. The effect of buyers’ socialization efforts on the culture of their key strategic supplier and its impact on supplier operational performance. Production Planning & Control, 32(13), 1102-1118. (A in ABDC, ABS 3, and Q1 in Scopus)., Production Planning & Control, Vol: null, pp.null - null, Oct 2021, doi: null
This paper investigates if inter-organizational socialization mechanisms initiated by a buyer organization towards a strategic supplier can influence the culture within that supplier organization to ultimately improve supplier performance to the buyer. Using a quantitative sample of 279 UK companies from across a variety of industry sectors, statistical techniques were utilized to examine the effect of informal and formal socialization mechanisms on the culture of a strategic supplier as measured by their organizational practices and the subsequent supplier performance outcomes. It was found that both informal and formal socialization efforts by a buyer organization have a significant influence on the culture of the supplier organization as measured by their organizational practices. Socialization efforts by the buyer organization influence the organizational practices of the supplier to be more result-oriented, employee-centred, open, pragmatic to customer needs and market focussed. These organizational practices were found to positively influence supplier operational performance in the eyes of the buyer organization as measured by on time delivery, conformance to product specifications, flexibility to respond to changing customer needs and cost reduction initiatives. Modelling the influence of informal and formal socialization efforts by a buyer on the organizational culture of a key supply chain partner provides new insights to academics. Firstly, this work makes a significant contribution to the extant research on socialization in the supply chain literature. Secondly, it raises the importance of understanding the influence of culture on supplier operational performance. Although the study used a dyadic method to validate the cultural insights, our study only took a snapshot of culture at one point in time. Organization culture as displayed through organizational practices is a complex construct that changes over time. Therefore, to further understand the intricacies of organization culture, a longitudinal study would be useful in the future. Secondly, future studies could develop into themes such as the green supply chain and sustainability issues. Finally, our study was undertaken in the UK. It would be useful to replicate this study in a different setting, including Eastern countries. Organizations should engage early with their key supply base from a socialization perspective. The importance of joint away days, cross function teams alongside effective communication and on site visits have been fund to have a significant influence on shaping a high performance culture along the supply chain. Therefore, a buyers’ early understanding of their key supplier’s culture via these mechanisms appear critical for long-term supply chain success. Measuring supplier culture at the visible level of organizational practices removes the ethereal qualities often attributed to culture as a concept; buyers can influence supplier culture. This paper presents an empirically tested model which includes informal socialization, formal socialization, deconstructed organizational culture and supplier operational performance in a supply chain setting.
About the journal
null, Cao. G and Tian N. 2020. Enhancing Customer-linking Marketing Capabilities Using Marketing Analytics. Journal of Business and Industrial Marketing (accepted) (A in ABDC, ABS2, and Q1 in Scopus), Journal of Business & Industrial Marketing, Vol: null, pp.null - null, Jun 2020, doi: null
Purpose Evidence in the literature has indicated that customer-linking marketing capabilities such as customer relationship management (CRM) and brand management are important drivers of marketing performance and that marketing analytics use (MAU) enables firms to gain valuable knowledge and insights for improving firm performance. However, there has been little focus on how firms improve their CRM and brand management via MAU. This study aims to draw on the absorptive capacity theory, research on marketing capabilities and marketing analytics to examine the capability-developing mechanisms that enable a firm to use marketing analytics to enhance its CRM and brand management capabilities, thereby improving its marketing performance. Design/methodology/approach A research model is developed and tested based on an analysis of 289 responses collected using an online survey from middle and senior managers of Chinese firms with sufficient knowledge and experience in using marketing analytics for survey participation. Findings The findings demonstrate that MAU is positively related to both CRM and brand management capabilities, which in turn are positively associated with marketing performance; and that both CRM and brand management capabilities mediate the relationship between MAU and marketing performance. Research limitations/implications The study’s outcomes were based on data collected from a survey, which was distributed using mass e-mails. Thus, the study is unable to provide a meaningful response rate. The research results are based on and limited to Chinese firms. Practical implications MAU is essential for enhancing customer-linking marketing capabilities such as CRM and brand management, but it alone is not sufficient to improve marketing performance. Firms wishing to improve marketing performance should leverage the knowledge and insights gained from MAU to enhance their critical customer-linking marketing capabilities. Originality/value This study explicates the capability-developing mechanisms through which a firm can use its market-sensing capability as manifested by MAU to enhance customer-linking marketing capabilities and to improve its marketing performance. In so doing, this study extends our understanding of the critical role of absorptive capacity in helping firms identify, assimilate, transform and apply valuable external knowledge.
About the journal
null, Duan, D.; Cao, C. and Edwards, J. 2020. Understanding the Impact of Business Analytics on Innovation, European Journal of Operational Research, 281(3), 673-686. https://doi.org/10.1016/j.ejor.2018.06.021. (A* in ABDC, ABS 4, and Q1 in Scopus)., European Journal of Operational Research, Vol: null, pp.null - null, Mar 2020, doi: null
Advances in Business Analytics in the era of Big Data have provided unprecedented opportunities for organizations to innovate. With insights gained from Business Analytics, companies are able to develop new or improved products/services. However, few studies have investigated the mechanism through which Business Analytics contributes to a firm's innovation success. This research aims to address this gap by theoretically and empirically investigating the relationship between Business Analytics and innovation. To achieve this aim, absorptive capacity theory is used as a theoretical lens to inform the development of a research model. Absorptive capacity theory refers to a firm's ability to recognize the value of new, external information, assimilate it and apply it to commercial ends. The research model covers the use of Business Analytics, environmental scanning, data-driven culture, innovation (new product newness and meaningfulness), and competitive advantage. The research model is tested through a questionnaire survey of 218 UK businesses. The results suggest that Business Analytics directly improves environmental scanning which in turn helps to enhance a company's innovation. Business Analytics also directly enhances data-driven culture that in turn impacts on environmental scanning. Data-driven culture plays another important role by moderating the effect of environmental scanning on new product meaningfulness. The findings demonstrate the positive impact of business analytics on innovation and the pivotal roles of environmental scanning and data-driven culture. Organizations wishing to realize the potential of Business Analytics thus need changes in both their external and internal focus.
About the journal
null, Al-Surmi, A., Cao, G. and Duan, Y. 2020. The Impact of Aligning Business, IT, and Marketing Strategies on Firm Performance. Industrial Marketing Management, 84: 39-49. (A* in ABDC, ABS3, and Q1 in Scopus)., Industrial Marketing Management, Vol: null, pp.null - null, Jan 2020, doi: null
In order to succeed in today's competitive business environment, a firm should have a clear business strategy that is supported by other organizational strategies. While prior studies argue that strategic alignment enhances firm performance, either strategic alignment including multiple factors or strategic orientation of firms has received little attention. This study, drawing on contingency theory and configuration theory, investigates the performance impact of triadic strategic alignment among business, IT, and marketing strategies while simultaneously considers strategic orientation of firms. A research model is tested through SEM and MANOVA using data collected in a questionnaire survey of 242 Yemen managers. The findings indicate that (1) triadic strategic alignment has a positive impact on firm performance and (2) there is an ideal triadic strategic alignment for prospectors and defenders. This research contributes to strategic alignment literature and managers' understanding of how to align business, IT and marketing strategies to improve firm performance.
About the journal
Bentley, Y., Cao, G. and Lehaney, B. 2013. The Application of Critical Systems Thinking to Enhance the Effectiveness of a University Information System, Systemic Practice and Action Research, 26:451-465. (B in ABDC, ABS2, and Q2 in Scopus).
Cao, G., Wiengarten, F. and Humphreys, P. 2011. Towards a Contingency Resource-Based View of IT Business Value, Systemic Practice and Action Research, 24(1): 85-106. (B in ABDC, ABS2, and Q2 in Scopus).
Wiengarten, F., Humphreys, P. and Cao, G. 2010. Collaborative supply chain practices and performance: Exploring the key role of information quality, Supply Chain Management, 15(6): 463-473. (A in ABDC, ABS3, and Q1 in Scopus).
Cao, G. 2010. A four-dimensional view of IT business value, Systems Research and Behavioral Science, 27(3): 267-284. (A in ABDC, ABS2, and Q1 in Scopus).
Cao, G. 2007. The Pattern-matching Role of Systems Thinking in Improving Research Trustworthiness, Systemic Practice and Action Research, 20(6): 441-453. (B in ABDC, ABS2, and Q2 in Scopus).
Cao, G. and McHugh, M. 2005. A Systemic View of Change Management and Its Conceptual Underpinnings, Systemic Practice and Action Research, 18 (5): 475-490. (B in ABDC, ABS2, and Q2 in Scopus).
Cao, G., Clarke, S. and Lehaney, B. 2004. The need for a systemic approach to change management—a case study, Systemic Practice and Action Research, 17(2): 103-126. (B in ABDC, ABS2, and Q2 in Scopus).
Cao, G., Clarke, S. and Lehaney, B. 2003. Diversity management in organizational change: towards a systemic framework, Systems Research and Behavioral Science, 20(3): 231-242. (A in ABDC, ABS2, and Q1 in Scopus).
Cao, G., Clarke, S. and Lehaney, B. 2001. A critique of BPR from a holistic perspective, Business Process Management Journal, 20(3): 332-339. (B in ABDC, ABS2, and Q1 in Scopus).
Cao, G., Clarke, S. and Lehaney, B. 2000. TQM and organisational change, Measuring Business Excellence, 4(4). (B in ABDC, ABS2, and Q2 in Scopus).
Cao, G., Clarke, S. and Lehaney, B. 1999. Towards systemic management of diversity in organizational change, Strategic Change, 8(4): 205-216. ( ABS2, and Q2 in Scopus).
Conference Presentation
- Cadden, C., Cao, G., Treacy, R., Yang, Y., & Onofrei, G. (2021). A dynamic capability lens to investigate big data analytics and supply chain agility: Antecedents and outcomes. In The 20th IFIP Conference on e-Business, e-Services, and e-Society, Galway, Ireland, September 1-3.
- Ali, A., Bentley, Y., & Cao, G. (2019). Collaboration for sustainability: A study of UK food supply chain. Presentation at the Production and Operations Management Society (POMS) 2019 International Conference, Brighton, UK, September 2-4, 2019.
- Duan, Y., Ramanathan, R. and Cao, G. 2019. A Systematic Literature Review on the Applications of Big Data Analytics – Identifying Influential Factors and Impact. 2019 Annual Americas Conference on Information Systems (AMCIS), Cancún, México August 15-17.
- Bejhih, A., Cao, G., & Duan, Y. (2019). The impact of Analytics 3.0 on product quality from an R&D perspective: The case of software product development. In 30th European Conference on Operational Research, Dublin, Ireland, June 23-26.
- Cao, G., Duan, Y. and Tian, N. 2019. Improving Strategic Decision-Making through the Use of Business Analytics: A Resource-Based View. 2019 International Conference on Information Resources Management, Auckland, New Zealand, May 27 – 29.
- Cao, G., Duan, Y. and El Banna, A. 2018. The Impact of Marketing Analytics on Firm Competitiveness: A Dynamic Capability View. 2018 International Conference on Business and Information, July 6-8, 2018, Seoul, Korea.
- Duan, Y., Ramanathan, R., Cao, G., & Khilji, N. (2018). Understanding the current research on the use and impact of big data analytics: A systematic literature review. In Big Data Analytics, Data Mining, and Computational Intelligence (BigDaCI 2018) – Multi Conference on Computer Science and Information Systems (MCCSIS 2018) Proceedings, Madrid, Spain, July 18-20, 2018.
- Cao, G., Duan, Y., El Banna, A. and Cadden, T. 2018. The Configurational Impact of Top Management Team Characteristics on Marketing Analytics Use in SME: A Fuzzy-Set Qualitative Comparative Analysis. The 11th International Conference on Information Resources Management, University of Nottingham Ningbo China, June 4-6, 2018.
- Bentley, Y., Minett-Smith, C., Cao, G., & Kofinas, A. (2018). Findings from the investigation of the block teaching of MSc programmes at a UK business school. In 20th Annual International Conference on Education, Athens, Greece, May 21-24, 2018.
- Ramanathan U. and Cao, G. 2017. Role of data analytics in supply chain collaborations. The Production and Operations Management Society (POMS) 2017 International Conference in Sydney, Australia, December 12-14, 2017.
- Cao, G., Duan, Y. and El Banna, A. 2017. Antecedents and Outcomes of Marketing Analytics: Evidence from UK Firms. The 23rd Americas Conference on Information Systems, Boston, MA, August 10-12, 2017.
- Kika, C., Duan, Y., & Cao, G. (2017). The use and critical success factors of learning analytics: An organisational absorptive capacity analysis. In The 23rd Americas Conference on Information Systems, Boston, MA, August 10-12, 2017.
- Cao, G. and Duan, Y. 2017. Understanding Learning Analytics from an IT Affordance Perspective. The 21st Pacific-Asia Conference on Information Systems 2017, Langkawi Malaysia, 16-20 July, 2017.
- Kofinas, A., Bentley, Y., Minett-Smith, C. and Cao. G. 2017. Block Teaching as the Basis for an Innovative Redesign of the PG Suite of Programmes in University of Bedfordshire Business School. 3rd International Conference on Higher Education Advances (HEAd’17), Valencia, Spain, June 21 – 23, 2017.
- Bentley, Y., Cao, G. and Bentley, R. 2017. Investigating the impact of change in oil price on global logistics and supply chain activities. The 24th EurOMA Conference, Edinburgh, 1st – 5th July, 2017.
- Ali, A., Bentley, Y., & Cao, G. (2017). Environmental practices in UK food supply chains: Role of supplier collaboration. In The Production and Operations Management Society (POMS) 28th Annual Conference, Seattle, USA, May 5-8, 2017.
- Kika, C., Duan, Y., & Cao, G. (2017). Understanding the factors affecting the use of learning analytics in the UK higher education sector. In EARLI 2017, University of Tampere, Tampere, Finland, August 29 - September 2, 2017.
- Ali, A., Bentley, Y., & Cao, G. (2016). The influence of supplier collaboration on green supply chain management practices and firm performance in UK food supply chain SMEs. In The 21st LRN (Logistics Research Network) Annual Conference: Doing the Right Thing – Ethical Issues in Logistics and Supply Chain, Hull, UK, September 7-9, 2016.
- Bentley, Y., Cao, G., & Bentley, R. (2016). The impact of oil price on global logistics and supply chain activities: A survey of practitioner and educator opinions. In The 21st LRN (Logistics Research Network) Annual Conference: Doing the Right Thing – Ethical Issues in Logistics and Supply Chain, Hull, UK, September 7-9, 2016.
- Trevor, C., Millar, K., McKittrick, A., Cao, G., & Humphreys, P. (2016). The influence of socialisation practices on organisational culture and supplier operational performance. In 30th Annual Conference of the British Academy of Management, Newcastle, UK, September 6-8, 2016. Best Full Paper Award.
- Al-Surmi, A., Cao, G., & Duan, Y. (2016). Strategic orientation, triadic strategic alignment, and firm performance. In The 20th Pacific Asia Conference on Information Systems (PACIS 2016), Taiwan, June 26 – July 1, 2016.
- Kika, C., Duan, Y., & Cao, G. (2016). Understanding the use and impact of learning analytics on student experience management in the UK higher education sector. In The 20th Pacific Asia Conference on Information Systems (PACIS 2016), Taiwan, June 26 – July 1, 2016.
- Cadden, C., Cao, G., Treacy, R., Yang, Y., & Onofrei, G. (2021). A dynamic capability lens to investigate big data analytics and supply chain agility: Antecedents and outcomes. In The 20th IFIP Conference on e-Business, e-Services, and e-Society, Galway, Ireland, September 1–3.
- Cao, G., Zhang, X., Cadden, T., Wang, J., & Duan, Y. (2016). Path dependence in R&D and its impact on Tobin’s Q and return on assets: Evidence from UK manufacturing firms. In International Conference on Innovation, Management and Industrial Engineering, Fukuoka, Japan, August 5–7, 2016.
- Cao, G. and Duan, Y. 2015. Do Top-performing Companies Use Business Analytics Differently and Why? Proceedings of the 15th International Conference on Electronic Business, Hong Kong, 6-10th December 2015.
- Kika, C., Duan, Y., & Cao, G. (2015). Supporting student management with business analytics in the UK higher education sector: Findings from an exploratory study. In Proceedings of the 12th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning, Bangkok, Thailand, November 5–6, 2015. PhD Paper Certificate of Merit awarded.
- Al-Surmi, A., Cao, G., & Duan, Y. (2015). The impact of triadic strategic alignment on organisational performance. In Proceedings of the International Conference on Engineering Technologies and Big Data Analytics (ETBDA'2015), Bangkok, Thailand, October 5–6, 2015.
- Cao, G., & Duan, Y. (2015). The affordances of business analytics for strategic decision-making and their impact on organisational performance. In Proceedings of the JAIS-endorsed Paper Development Workshop in PACIS Singapore and Proceedings of the 19th Pacific Asia Conference on Information Systems (PACIS 2015), Singapore, July 5–9, 2015. Retrieved from http://aisel.aisnet.org/pacis2015/255
- Duan, Y., & Cao, G. (2015). An analysis of the impact of business analytics on innovation. In Proceedings of the Twenty Third European Conference on Information Systems (ECIS 2015), Munster, Germany, May 26–29, 2015. Retrieved from http://aisel.aisnet.org/ecis2015_cr/40
- Mahesar, H., Cao, G., & Clark, J. (2014). Impact of motivation-enhancing practices on talented employees’ turnover intentions: The mediating role of organizational commitment. Presented at the International Journal of Arts and Sciences' (IJAS) International Conference for Academic Disciplines, Freiburg, Germany, December 2–5, 2014.
- Al-Surmi, A., Cao, G. and Duan, Y. 2014. The Impact of Triadic Strategic Alignment of Business Strategy, Information Technology Strategy, and Marketing Strategy on Organisational Performance, presented at the British Academy of Management (BAM) 2014 Conference in Belfast, Northern Ireland 9-11th September 2014.
- Cao, G., & Duan, Y. (2014). Gaining competitive advantage from analytics through the mediation of decision-making effectiveness: An empirical study of UK manufacturing companies. Proceedings of the Second AIS-Journals Joint Author Workshop in PACIS Chengdu, and Proceedings of the 18th Pacific Asia Conference on Information Systems (PACIS 2014). Retrieved from http://aisel.aisnet.org/pacis2014/377, Chengdu, China, June 26, 2014.
- Cao, G., & Duan, Y. (2014). A path model linking business analytics, data-driven culture, and competitive advantage. Proceedings of the Twenty-Second European Conference on Information Systems (ECIS 2014), Tel Aviv, Israel, June 9-11, 2014. Best paper award nominated. Retrieved from http://aisel.aisnet.org/ecis2014/proceedings/track04/1/.
- Cao, G. and Duan, Y. 2013. An Empirical Assessment of the Impact of a Data-Driven Culture on Organisational Performance, Proceedings of the Second International Conference on Emerging Research Paradigms in Business and Social Sciences, Dubai, UAE, 26-28th November, 2013.
- Duan, Y., Cao, G., Ong, V., & Woolley, M. (2013). Big data in higher education: An action research on managing student engagement with business intelligence. Proceedings of the Second International Conference on Emerging Research Paradigms in Business and Social Sciences, Dubai, UAE, November 26-28, 2013. Best paper award.
- Duan, Y., Cao, G., Ong, V., & Woolley, M. (2013). Intelligent student engagement management: Applying business intelligence in higher education. Proceedings of the International Conference on Information and Social Science, Nagoya, Japan, September 24-26, 2013.
- Cao, G., & Duan, Y. (2013). Systemic capabilities as emergent properties: The source of IT business value. Proceedings of the 2013 IEEE International Systems Conference, Florida, USA, April 15-18, 2013.
- Ramanathan, R., Duan, Y., Cao G. and Philpott, E. 2013. An empirical analysis of diffusion and impact of business analytics in the UK retail sector, Abstract for presentation at POM 2013 – Twenty Fourth Annual Conference of Production and Operations Management Society, Denver, Colorado, U.S.A., 3–6th May, 2013.
- Ramanathan, R., Duan, Y., Cao, G., & Philpott, E. (2012). Investigating the diffusion and impact of data and business analytics on the performance of retail firms in the UK. Executive summary of a research project approved by the Research Investment Programme, University of Bedfordshire. PDF copy available at: http://www.beds.ac.uk/__data/assets/pdf_file/0019/219403/Big_Data.pdf.
- Ramanathan, R., Duan, Y., Cao, G., & Philpott, E. (2012). Diffusion and impact of business analytics in UK retail: Theoretical underpinnings and a qualitative study. EurOMA Service Operations Management Forum, Cambridge, 19–20th September 2012 (presented).
- Ramanathan, R., Duan, Y., Cao G. and Philpott, E. 2012. Diffusion and impact of business analytics: A conceptual framework, ICDADM 2012 : International Conference on Data Analysis and Decision Making, Berlin, Germany, 19-20th September, 2012 (presented).
- Philpott, E, Ramanathan, R., Duan, Y., and Cao G. 2012. An exploratory study of the diffusion and impact of business analytics”, ICDADM 2012 : International Conference on Data Analysis and Decision Making, Berlin, Germany, September 19-20, 2012 (presented).
- Cao, G. (2011). The benefits and limitations of pairwise understanding of IT business value. Proceedings of the International Conference on Management and Service Science (MASS), Wuhan, People's Republic of China.
- Bentley, Y. and Cao, G. 2012. Applying Critical Systems Thinking to Improving the Effectiveness of a University’s Student Records System, Proceedings of the 3rd International Conference on Information Management and Evaluation (ICIME 2012), Ankara, Turkey.
- Cao, G. 2009. A Contingency and Resource-Based View of Fit between IT and Organisational Factors, Proceedings of the 3rd International Conference on Management and Service Science (MASS), Beijing, People’s Republic of China.
- Cao, G. 2009. A Contingency and Resource-Based View of Fit between IT and Organisational Factors, Proceedings of International Conference on Management and Service Science (MASS 2009), Beijing, People's Republic of China.
- Cao, G. (2008). Organisational factors and their roles in creating IT business value. Proceedings of the Pacific Asia Conference on Information Systems (PACIS 2008). Retrieved from http://aisel.aisnet.org/pacis2008/3, Suzhou, People's Republic of China.
- Weingarten, F., Cao, G., & Humphreys, P. (2008). The impact of e-business applications on operational performance: The importance of your suppliers’ level of technology. Proceedings of the Production and Operations Management Society (POMS), La Jolla, California.
- Weingarten, F., Cao, G., & Humphreys, P. (2008). Measuring the performance impact of e-business applications in buyer-supplier relationships within the German automotive industry. Proceedings of the European Operations Management Association (EurOMA) 15th Annual Conference, Groningen, the Netherlands.
Cadden, C., Cao, G., Treacy, R., Yang, Y., & Onofrei, G. (2021). A dynamic capability lens to investigate big data analytics and supply chain agility: Antecedents and outcomes. In The 20th IFIP Conference on e-Business, e-Services, and e-Society, Galway, Ireland, September 1-3.
Ali, A., Bentley, Y., & Cao, G. (2019). Collaboration for sustainability: A study of UK food supply chain. Presentation at the Production and Operations Management Society (POMS) 2019 International Conference, Brighton, UK, September 2-4, 2019.
Duan, Y., Ramanathan, R. and Cao, G. 2019. A Systematic Literature Review on the Applications of Big Data Analytics – Identifying Influential Factors and Impact. 2019 Annual Americas Conference on Information Systems (AMCIS), Cancún, México August 15-17.
Bejhih, A., Cao, G., & Duan, Y. (2019). The impact of Analytics 3.0 on product quality from an R&D perspective: The case of software product development. In 30th European Conference on Operational Research, Dublin, Ireland, June 23-26.
Cao, G., Duan, Y. and Tian, N. 2019. Improving Strategic Decision-Making through the Use of Business Analytics: A Resource-Based View. 2019 International Conference on Information Resources Management, Auckland, New Zealand, May 27 – 29.
Cao, G., Duan, Y. and El Banna, A. 2018. The Impact of Marketing Analytics on Firm Competitiveness: A Dynamic Capability View. 2018 International Conference on Business and Information, July 6-8, 2018, Seoul, Korea.
Duan, Y., Ramanathan, R., Cao, G., & Khilji, N. (2018). Understanding the current research on the use and impact of big data analytics: A systematic literature review. In Big Data Analytics, Data Mining, and Computational Intelligence (BigDaCI 2018) – Multi Conference on Computer Science and Information Systems (MCCSIS 2018) Proceedings, Madrid, Spain, July 18-20, 2018.
Cao, G., Duan, Y., El Banna, A. and Cadden, T. 2018. The Configurational Impact of Top Management Team Characteristics on Marketing Analytics Use in SME: A Fuzzy-Set Qualitative Comparative Analysis. The 11th International Conference on Information Resources Management, University of Nottingham Ningbo China, June 4-6, 2018.
Bentley, Y., Minett-Smith, C., Cao, G., & Kofinas, A. (2018). Findings from the investigation of the block teaching of MSc programmes at a UK business school. In 20th Annual International Conference on Education, Athens, Greece, May 21-24, 2018.
Ramanathan U. and Cao, G. 2017. Role of data analytics in supply chain collaborations. The Production and Operations Management Society (POMS) 2017 International Conference in Sydney, Australia, December 12-14, 2017.
Cao, G., Duan, Y. and El Banna, A. 2017. Antecedents and Outcomes of Marketing Analytics: Evidence from UK Firms. The 23rd Americas Conference on Information Systems, Boston, MA, August 10-12, 2017.
Kika, C., Duan, Y., & Cao, G. (2017). The use and critical success factors of learning analytics: An organisational absorptive capacity analysis. In The 23rd Americas Conference on Information Systems, Boston, MA, August 10-12, 2017.
Cao, G. and Duan, Y. 2017. Understanding Learning Analytics from an IT Affordance Perspective. The 21st Pacific-Asia Conference on Information Systems 2017, Langkawi Malaysia, 16-20 July, 2017.
Kofinas, A., Bentley, Y., Minett-Smith, C. and Cao. G. 2017. Block Teaching as the Basis for an Innovative Redesign of the PG Suite of Programmes in University of Bedfordshire Business School. 3rd International Conference on Higher Education Advances (HEAd’17), Valencia, Spain, June 21 – 23, 2017.
Bentley, Y., Cao, G. and Bentley, R. 2017. Investigating the impact of change in oil price on global logistics and supply chain activities. The 24th EurOMA Conference, Edinburgh, 1st – 5th July, 2017.
Ali, A., Bentley, Y., & Cao, G. (2017). Environmental practices in UK food supply chains: Role of supplier collaboration. In The Production and Operations Management Society (POMS) 28th Annual Conference, Seattle, USA, May 5-8, 2017.
Kika, C., Duan, Y., & Cao, G. (2017). Understanding the factors affecting the use of learning analytics in the UK higher education sector. In EARLI 2017, University of Tampere, Tampere, Finland, August 29 - September 2, 2017.
Ali, A., Bentley, Y., & Cao, G. (2016). The influence of supplier collaboration on green supply chain management practices and firm performance in UK food supply chain SMEs. In The 21st LRN (Logistics Research Network) Annual Conference: Doing the Right Thing – Ethical Issues in Logistics and Supply Chain, Hull, UK, September 7-9, 2016.
Bentley, Y., Cao, G., & Bentley, R. (2016). The impact of oil price on global logistics and supply chain activities: A survey of practitioner and educator opinions. In The 21st LRN (Logistics Research Network) Annual Conference: Doing the Right Thing – Ethical Issues in Logistics and Supply Chain, Hull, UK, September 7-9, 2016.
Trevor, C., Millar, K., McKittrick, A., Cao, G., & Humphreys, P. (2016). The influence of socialisation practices on organisational culture and supplier operational performance. In 30th Annual Conference of the British Academy of Management, Newcastle, UK, September 6-8, 2016. Best Full Paper Award.
Al-Surmi, A., Cao, G., & Duan, Y. (2016). Strategic orientation, triadic strategic alignment, and firm performance. In The 20th Pacific Asia Conference on Information Systems (PACIS 2016), Taiwan, June 26 – July 1, 2016.
Kika, C., Duan, Y., & Cao, G. (2016). Understanding the use and impact of learning analytics on student experience management in the UK higher education sector. In The 20th Pacific Asia Conference on Information Systems (PACIS 2016), Taiwan, June 26 – July 1, 2016.
Cadden, C., Cao, G., Treacy, R., Yang, Y., & Onofrei, G. (2021). A dynamic capability lens to investigate big data analytics and supply chain agility: Antecedents and outcomes. In The 20th IFIP Conference on e-Business, e-Services, and e-Society, Galway, Ireland, September 1–3.
Cao, G., Zhang, X., Cadden, T., Wang, J., & Duan, Y. (2016). Path dependence in R&D and its impact on Tobin’s Q and return on assets: Evidence from UK manufacturing firms. In International Conference on Innovation, Management and Industrial Engineering, Fukuoka, Japan, August 5–7, 2016.
Cao, G. and Duan, Y. 2015. Do Top-performing Companies Use Business Analytics Differently and Why? Proceedings of the 15th International Conference on Electronic Business, Hong Kong, 6-10th December 2015.
Kika, C., Duan, Y., & Cao, G. (2015). Supporting student management with business analytics in the UK higher education sector: Findings from an exploratory study. In Proceedings of the 12th International Conference on Intellectual Capital, Knowledge Management & Organisational Learning, Bangkok, Thailand, November 5–6, 2015. PhD Paper Certificate of Merit awarded.
Al-Surmi, A., Cao, G., & Duan, Y. (2015). The impact of triadic strategic alignment on organisational performance. In Proceedings of the International Conference on Engineering Technologies and Big Data Analytics (ETBDA'2015), Bangkok, Thailand, October 5–6, 2015.
Cao, G., & Duan, Y. (2015). The affordances of business analytics for strategic decision-making and their impact on organisational performance. In Proceedings of the JAIS-endorsed Paper Development Workshop in PACIS Singapore and Proceedings of the 19th Pacific Asia Conference on Information Systems (PACIS 2015), Singapore, July 5–9, 2015. Retrieved from http://aisel.aisnet.org/pacis2015/255
Duan, Y., & Cao, G. (2015). An analysis of the impact of business analytics on innovation. In Proceedings of the Twenty Third European Conference on Information Systems (ECIS 2015), Munster, Germany, May 26–29, 2015. Retrieved from http://aisel.aisnet.org/ecis2015_cr/40
Mahesar, H., Cao, G., & Clark, J. (2014). Impact of motivation-enhancing practices on talented employees’ turnover intentions: The mediating role of organizational commitment. Presented at the International Journal of Arts and Sciences' (IJAS) International Conference for Academic Disciplines, Freiburg, Germany, December 2–5, 2014.
Al-Surmi, A., Cao, G. and Duan, Y. 2014. The Impact of Triadic Strategic Alignment of Business Strategy, Information Technology Strategy, and Marketing Strategy on Organisational Performance, presented at the British Academy of Management (BAM) 2014 Conference in Belfast, Northern Ireland 9-11th September 2014.
Cao, G., & Duan, Y. (2014). Gaining competitive advantage from analytics through the mediation of decision-making effectiveness: An empirical study of UK manufacturing companies. Proceedings of the Second AIS-Journals Joint Author Workshop in PACIS Chengdu, and Proceedings of the 18th Pacific Asia Conference on Information Systems (PACIS 2014). Retrieved from http://aisel.aisnet.org/pacis2014/377, Chengdu, China, June 26, 2014.
Cao, G., & Duan, Y. (2014). A path model linking business analytics, data-driven culture, and competitive advantage. Proceedings of the Twenty-Second European Conference on Information Systems (ECIS 2014), Tel Aviv, Israel, June 9-11, 2014. Best paper award nominated. Retrieved from http://aisel.aisnet.org/ecis2014/proceedings/track04/1/.
Cao, G. and Duan, Y. 2013. An Empirical Assessment of the Impact of a Data-Driven Culture on Organisational Performance, Proceedings of the Second International Conference on Emerging Research Paradigms in Business and Social Sciences, Dubai, UAE, 26-28th November, 2013.
Duan, Y., Cao, G., Ong, V., & Woolley, M. (2013). Big data in higher education: An action research on managing student engagement with business intelligence. Proceedings of the Second International Conference on Emerging Research Paradigms in Business and Social Sciences, Dubai, UAE, November 26-28, 2013. Best paper award.
Duan, Y., Cao, G., Ong, V., & Woolley, M. (2013). Intelligent student engagement management: Applying business intelligence in higher education. Proceedings of the International Conference on Information and Social Science, Nagoya, Japan, September 24-26, 2013.
Cao, G., & Duan, Y. (2013). Systemic capabilities as emergent properties: The source of IT business value. Proceedings of the 2013 IEEE International Systems Conference, Florida, USA, April 15-18, 2013.
Ramanathan, R., Duan, Y., Cao G. and Philpott, E. 2013. An empirical analysis of diffusion and impact of business analytics in the UK retail sector, Abstract for presentation at POM 2013 – Twenty Fourth Annual Conference of Production and Operations Management Society, Denver, Colorado, U.S.A., 3–6th May, 2013.
Ramanathan, R., Duan, Y., Cao, G., & Philpott, E. (2012). Investigating the diffusion and impact of data and business analytics on the performance of retail firms in the UK. Executive summary of a research project approved by the Research Investment Programme, University of Bedfordshire. PDF copy available at: http://www.beds.ac.uk/__data/assets/pdf_file/0019/219403/Big_Data.pdf.
Ramanathan, R., Duan, Y., Cao, G., & Philpott, E. (2012). Diffusion and impact of business analytics in UK retail: Theoretical underpinnings and a qualitative study. EurOMA Service Operations Management Forum, Cambridge, 19–20th September 2012 (presented).
Ramanathan, R., Duan, Y., Cao G. and Philpott, E. 2012. Diffusion and impact of business analytics: A conceptual framework, ICDADM 2012 : International Conference on Data Analysis and Decision Making, Berlin, Germany, 19-20th September, 2012 (presented).
Philpott, E, Ramanathan, R., Duan, Y., and Cao G. 2012. An exploratory study of the diffusion and impact of business analytics”, ICDADM 2012 : International Conference on Data Analysis and Decision Making, Berlin, Germany, September 19-20, 2012 (presented).
Cao, G. (2011). The benefits and limitations of pairwise understanding of IT business value. Proceedings of the International Conference on Management and Service Science (MASS), Wuhan, People's Republic of China.
Bentley, Y. and Cao, G. 2012. Applying Critical Systems Thinking to Improving the Effectiveness of a University’s Student Records System, Proceedings of the 3rd International Conference on Information Management and Evaluation (ICIME 2012), Ankara, Turkey.
Cao, G. 2009. A Contingency and Resource-Based View of Fit between IT and Organisational Factors, Proceedings of the 3rd International Conference on Management and Service Science (MASS), Beijing, People’s Republic of China.
Cao, G. 2009. A Contingency and Resource-Based View of Fit between IT and Organisational Factors, Proceedings of International Conference on Management and Service Science (MASS 2009), Beijing, People's Republic of China.
Cao, G. (2008). Organisational factors and their roles in creating IT business value. Proceedings of the Pacific Asia Conference on Information Systems (PACIS 2008). Retrieved from http://aisel.aisnet.org/pacis2008/3, Suzhou, People's Republic of China.
Weingarten, F., Cao, G., & Humphreys, P. (2008). The impact of e-business applications on operational performance: The importance of your suppliers’ level of technology. Proceedings of the Production and Operations Management Society (POMS), La Jolla, California.
Weingarten, F., Cao, G., & Humphreys, P. (2008). Measuring the performance impact of e-business applications in buyer-supplier relationships within the German automotive industry. Proceedings of the European Operations Management Association (EurOMA) 15th Annual Conference, Groningen, the Netherlands.
Memberships, Awards and Honors
- Winner of the Industrial Marketing Management Best Paper Award 2023 for "Strategic Use of Social Media in Marketing and Financial Performance: The B2B SME Context."
- Member of the Association for Information Systems (AIS).
- Member of the International Society for the Systems Science (ISSS).
- Member of the British Academy of Management (BAM), 2013 – Present.
- Fellow of the Higher Education Academy (FHEA), Recognition reference: 37459, 09-Sep-2009.
- Editorial Review Board Member, International Journal of Information Management.