Dr. Gyanendra earned Doctorate at University of Porto, Portugal. He was a PostDoctoral Fellow at Department of Marketing, Ghent University, Belgium. Currently Dr. Gyanendra is faculty at Ajman University, UAE. Prior to joining Ajman University, he taught at the University of the South Pacific, Fiji Islands and Amrita University. He has also worked at Birla Institute of Technology Mesra and RMSI Pvt. Ltd. Dr. Sisodia's research interests include Strategic Management, Feasibility and Risk Analysis, Energy Policy, Sustainability, Entrepreneurship/Family Business, Innovation, etc.
This paper aims to identify the constrains faced by female entrepreneurs in Egypt. This study also intends to examine the influence of formal and informal institutional factors on women’s entry into entrepreneurship in Egypt. In addition, to explore the factors enable women entrepreneurs to overcome the barriers they may face. The qualitative research approach was adopted in the study to explore the challenges experienced by Egyptian female entrepreneurs. Purposeful sampling was employed and twenty-five (25) women entrepreneurs were selected from five Egyptian governorates to conduct semi-structured interviews to collect primary data. The findings indicated that the main constraints faced Egyptian women entrepreneurs arise from difficulty in raising capital, socio-culture commitments, sexual harassment, work-family conflict and lack of managerial skills. The study found factors such family-husband support, religious values, personal traits and technological skills are crucial for overcome constraints faced by women entrepreneurs. The study recommends creating a funding program targeting female entrepreneurs and raise the awareness about the importance of women entrepreneurship as well as take necessary actions to prevent sexual harassment phenomenon. Minimal research has examined female entrepreneurship in Egypt. Therefore, this study offers valuable insights of constraints faced by women entrepreneurs in Egypt. The study contributes to the women’s entrepreneurship literature from the perspective of an Arab Islamic developing country.
We model the trend/permanent and cyclical associations between international remittances and GDP using annual data from Fiji from 1979 to 2020. An extended co-feature methodology which incorporates asymmetric effects in the cyclical models is used. The findings indicate a significant and positive association between the permanent components of remittances and GDP. The cyclical associations suggest that an increase in remittances is negatively associated with negative GDP shocks in recessions providing some support for its function as an insurance mechanism. Positive shocks to remittances are not associated with positive GDP shocks suggesting that remittances may not contribute to an overheating economy. The findings stress the importance of cyclicality in the association between remittances and GDP. Policymakers benefit with information on how remittances influence economic activity in different phases of the business cycle.
Edible cutlery is a safe alternative that, if adopted, can act as a panacea to plastic pollution. Consumers who believe in a lifestyle of health and sustainability (LOHAS) can motivate others by taking the lead in this direction. This study has explored the psychological variables associated with LOHAS consumers in conjunction with the product attributes of edible cutlery to check whether these variables can influence lifestyle of health and sustainability (LOHAS) consumers to adopt edible cutlery. An empirical study on 210 LOHAS consumers using Partial Least Squares Structure Equation Modelling (PLS-SEM) and Importance Performance Matrix Analyses (IPMA) showed that social consciousness and subjective norms motivate them to adopt edible cutlery in restaurants. This finding has an implication for hospitality businesses using edible cutlery that can target LOHAS consumers with strategies that affect their social consciousness and subjective norm belief for better adoption intentions.
Extensive studies related to women’s entrepreneurial motivation are available in the western context, however, only a few studies are found focused on factors that motivate Egyptian women to engage in entrepreneurial activities. The study explores in-depth the motivations behind female entrepreneurs’ efforts to establish business ventures in Egypt. It analyses the influence of macrosocial realities and cultural values on the motivation for entrepreneurship. The finding demonstrates how post materialism factors motivate Egyptian women to embrace entrepreneurial activity as a way to maintaining “personal freedom”. The results demonstrate the impact of the Arab patriarchal culture on shaping the Egyptian women motivation. The qualitative research approach is adopted in this study to explore the entrepreneurial motivations of Egyptian women entrepreneurs. Through purposeful sampling, 20 women entrepreneurs were selected from five Egyptian governorates to administer a semi structured interview for the collection of primary data. The findings indicated that the motivation of Egyptian women entrepreneurs cover a variety of intrinsic and extrinsic motivations. Intrinsic motivations include maintaining personal freedom, satisfying their creative impulses, utilizing their knowledge derived from education training courses and work experiences, exploiting business opportunities, achieving a sense of self -actualization, improving social motivation. On the other hand, extrinsic factors include the inability to find a suitable job, death or illness of a family member, the need to supplement the family income, unfavorable job routine. The research on female entrepreneurs in the context of Egypt is essential as this study responded to calls for a thorough understanding of women’s entrepreneurial motivations. By studying these factors, the study would be able to show that motivations are unique and differentiate from other contexts.
There exists ample literature on the effect of democracy on innovation, with mix results. The present study includes the variable good governance, to study its potential effect on innovation. The research main goal consists in building upon and going beyond existing research dedicated to fostering innovation by identifying key good governance indicators at a country and supranational level, and their potential synergies and interactions with variables that complete the new model. The methodology used for the statistical analysis is based on Partial Least Square Structural Equation Modelling (PLS-SEM), due to the exploratory nature of the study. The research analyzes interactions between good governance indicators, innovation, education, and democracy, along with gross domestic product per capita as a mediating variable. The findings reveal that good governance, education, and gross domestic product indicators have a positive effect on innovation within EU countries and supranational government-controlled institutions. Furthermore, the research identifies the mediation role of gross domestic product between good governance and innovation as well as between education and innovation and the critical role of management to promote good governance and innovation. Based on these findings and the study limitations, the research proposes specific policies to promote innovation.
The purpose of the study is to examine the role of ICT practices in organisation performance along with mediating role of suppliers and logistics integration. The theoretical framework was proposed depicting ICT practices, supplier relationship and logistics integration and tests the relationships between these practices and organisational performance. The respondents were chosen as officers and executives of the Food Corporation of India with the help of snowball sampling technique. Total usable sample was 252. The proposed framework and hypotheses were tested using PLS-SEM. The analysis of the study shows that ICT practices, supplier relationship, and logistics integration have a significant and positive impact on the performance of the organisation. Furthermore, the study found that supplier relationship, and logistics integration partially mediates the relationship between ICT practices and organisational performance. In the end managerial implications, limitations and future research directions were provided.
This paper examines the influence of gross domestic product (GDP) and energy consumption (renewable energy and non-renewable energy) on carbon emissions in European Union (EU) Countries use of panel data from 2000 to 2020. By using Artificial Neural Network (ANN) machine learning computational technique, variables are categorized into input and output parameters. The result from the analyses shows that RMSE values of all variables are significant. Further, the normalized importance obtained from the multilayer perception ANN algorithm highlights the importance of variables and their association. The finding suggests that EU countries should adopt a clean energy strategy and policy for environmental protection without compromising economic growth.
The paper seeks to examine the association that exists among a number of energy-related variables such as energy use, renewable energy use, carbon pollutants and the economic growth of European Union countries. The examination of variables focus on twenty-one years of data from 2000 to 2020 using a multidimensional data framework. The findings come from empirical analysis carried out using panel VECM model and associated tests such as, panel unit root test, cointegration and the causality one. The different variables indicated above have positive effects on the growth of economies in various EU member states. Results obtained from the use of the heterogeneous causality test indicated that there is an indirect causality between energy use and the rate at which economies develop. Based on the findings obtained from the study, there is a need for EU member states to establish policies that should help to enhance efficiency in energy use to promote economic development.
Marketers' leading with challenges in building a solid brand is to ensure that customers should have relevant experiences with the products and services along with their promotional marketing programs. The present study aims to analyse the gradual improvement of brand resonance parameters. The study additionally distinguishes the intervention act of brand indulgence and brand community in the brand resonance model. To accomplish the aims of this study, the information gathered from the respondents through an organised poll and data scrutiny was done with the assistance of SPSS - 21 and AMOS - 21. The structural equation modelling analysis ensured the gradual improvement of brand resonance parameters. The study also reveals that the intervention of the brand attachment and brand community plays a significant role in the improvement of brand resonance parameters. The finding of this study presents significant implications to the theory of branding.
Purpose This study evaluated the growth of Fintech to measure the contribution towards the sustainable development goal of the United Nation in terms of financial inclusion through exploring the connectedness of fintech with several thematic indices. The study navigates the co-movements in short and long window-time frames. Design/methodology/approach This study used wavelet coherence method to analyze linkages between two-time series by considering the stock market co-movements. Wavelet coherence is applied on the pairwise Fintech-Index with the MSCI benchmarks for investment portfolio purposes. Findings The global correlation among indices signifying that the benchmark of MSCI USA has a greater level of interactions with the nascent industries but is not highly correlated with other benchmark equity indices. The Global FinTech Index indicates the highest values among the thematic indices. The Artificial Intelligence & Big Data Index has revealed a lower level of association with the MSCI Latin American Index among the overall correlations. Practical implications First, borrowing and lending and mitigating the risk needs to be addressed. Second, financial regulations would deal with market failures and vulnerabilities. Third, people would be expected to access innovative financial services and would be treated fairly with adequate access to payments, credit, insurance, and savings products. Originality The study covers Artificial Intelligence & Big Data Index (IAIQ), Blockchain Index (ILEGR), Disruptive Technology Index (IDTEC), Global Fintech Index (IFINIX). A key contribution of this research is to analyze the growth of Fintech in terms of size, participants, user market growth, and the role of stakeholders and policymakers.
Vector Auto regression model (VAR) a time -varying parameter is applied to study the effect of oil price shocks on the returns of stocks in the LATAM (Latin American) markets. Coherent Wavelet analysis highlights possibilities of connectedness of the oil price and LATAM stock markets through the presence of different patterns in a time series. The structural demand shocks standard deviations during the COVID-19 era remain high and the pass-through effects on stock returns due to oil prices differ for different time frames. The fundamental linkages are demonstrated due to oil market specific demand. The main motive of the research work is to identify the influence of oil price on stocks and identify the fundamental source of contagion. A random effects model is applied to the panel data of LATAM markets with the Global stock market index, MSCI (Morgan Stanley Capital International World Index), domestic money market rates and currency exchange rates during the period of study, 15 March 2019 to 31 July 2021 with 684 observations of controlled non-observed characteristics from individual country. The findings of this research recommend the pass-through effect of the oil prices on the stock market returns are based on time frequency. The contribution of this paper helps the policy makers to restore the confidence amongst the investors in the stock markets and strategies to be adopted by the investors to mitigate the risk by ideal portfolio management.
Individualized learning plans and corresponding training programs are maintained and organized in most organizations. Employees may be averse to training if they do not see how it contributes to their professional advancement. This is an example of conflict between management and employee interests in a business. The misalignment between management’s offerings and employees’ desires is a significant factor contributing to such a situation. Our research focused on how companies and individuals put training resources to use from a perspective of divergent goals. It provides insights into making employee training more effective. We investigate the relationship between organizational, individual, and training efficacy using the principal–agent theory and the concept of bounded rationality. We attempted to validate three a priori conditions relating to goal congruence, training motivation, and decision-making through in-depth interviews and focus group discussions. As per participant inputs, career aspirations drive employees’ training preferences. The significance of goal congruence in achieving corporate objectives is often neglected in the academic literature. Although goal congruence can be a useful tool in assisting organizations in achieving their stated objectives, enhanced communication and discussion between managers and employees are required in order to improve and align employee goals with the company’s, for the sake of the individual’s and organization’s development. Furthermore, firms should invest in technology-enabled learning that ensures better access to learning, in order to achieve the kind of productivity and profit margins that would benefit everyone involved. We have also proposed a training value transaction model that accommodates the diverse interests. The model depicts the role of goal congruence in enhanced value fulfilment of the principals as well as agents.
Studies on culture and innovation might view their interactions as separate entities, overlooking the potential relations among the cultural dimensions themselves, and their potential synergies and interactions with innovation. Additionally, governance indicators might be treated as independent entities, lacking further country background. Cultural dimensions interact with country governance contexts, which might exert a direct effect between the components of country good governance indicators and cultural dimensions, on innovation. The present research develops a comprehensive framework by examining the potential synergies among the cultural dimensions and their effect on innovation, as well as the potential synergies among the good governance indicators to foster innovation and the combined effect of cultural dimensions and good governance indicators on innovation. The study builds upon and goes beyond the existing research on the relationship between cultural profiles and country innovation performance while understanding the governance context in which these cultural dimensions are embedded.
With the resilient economic growth during and after the 2007–2008 financial crisis, emerging markets (particularly in Asia) were considered to be critical portfolio and foreign direct investment destinations for massive capital outflow generated by quantitative easing (QE) programmes. This study investigates comovement and contingency amongst strongly integrated Asian financial markets from the 2007–2008 financial crisis to the ongoing COVID-19 crisis. Daily closing prices of markets featured in the MSCI Emerging Markets Asia Index from 1st January 2007 to 31st December 2020 were analysed using the wavelet method (wavelet correlation and coherence). Multi-resolution decomposition was applied to capture frequencies and filter them into low and high frequencies. The results suggest that contingent aftershocks are more evident after 8–16 weeks, and the Bombay stock exchange reflected a negative correlation compared to other indices. The major contributions of this study are: 1) reporting contingency amongst Asian financial markets before and during COVID-19, 2) informing risk mitigation strategies based on international portfolio investments, and 3) further understanding the effect of internationalization on global financial markets. As well as providing guidelines for future research, the results can be used by policy makers and investors to make international investment decisions.
This study empirically examines the causality among economic growth, energy consumption, carbon emission and trade in Argentina, China, Ghana and India from the balanced dataset of 1990–2017. Using the Panel Vector Error Correction Model with the panel data we examine the long run and short run causality among the variables. The result of this study shows that long run relationship exists between the variables. The finding suggests that, promotion of an alternative energy sources like clean energy (renewable energy) is recommended that reduces carbon emission without hampering economic growth and trade.
We examined the sophisticated institutional investors’ preference for sustainable investing. Precisely, we examine the link between financial reporting quality and investment behaviour of institutional investors in the context of relatively high level of information asymmetry. The results suggest that sophisticated (i.e. institutional) investors tend to shy away from firms with poor quality of information in financial statements. Our analysis also suggest that an aggregate institutional ownership reduces by 1.2% for every unit decrease in financial reporting quality, and foreign institutional ownership decreases by 1%. Foreign ownership in firms with influential block holders decreases by 3% for every unit decrease in financial reporting quality. Overall, we find that institutional investors avoid relying on trading strategies that enhance returns based on information discovery in markets with high information acquisition costs and liquidity constraints, such as emerging markets.
Studies on culture and innovation might view their interactions as separate entities, overlooking the potential relations among the cultural dimensions themselves, and their potential synergies and interactions with innovation. Additionally, governance indicators might be treated as independent entities, lacking further country background. Cultural dimensions interact with country governance contexts, which might exert a direct effect between the components of country good governance indicators and cultural dimensions, on innovation. The present research develops a comprehensive framework by examining the potential synergies among the cultural dimensions and their effect on innovation, as well as the potential synergies among the good governance indicators to foster innovation and the combined effect of cultural dimensions and good governance indicators on innovation. The study builds upon and goes beyond the existing research on the relationship between cultural profiles and country innovation performance while understanding the governance context in which these cultural dimensions are embedded.
This study highlights the appropriateness of innovation management principles to successfully manage radical change in the e-commerce industry during the COVID-19 period. The study focuses on transforming delivery platforms in the context of popular e-commerce organizations in the U.A.E. We conducted the study through interviews, and the results reflect the development of three major themes (shifting consumer behavior, implementation of innovation, and innovation for effective change management) since the beginning of the COVID-19 pandemic. During the transition stage, critical aspects concerning product delivery have emerged to stabilize logistics performance with sustainability. The study suggests that firms need to be faster and more flexible to address the market uncertainty through innovative practices. Similar organizations can use this study to develop mechanisms to improve their delivery systems. Additionally, the study also argues that collaborative innovation significantly contributes to the enhancement of consumers’ well-being and boosts economic growth
In these times of distress, self-reliant villages and sustainable development are more crucial than ever. Support is much needed to uplift durably impoverished communities. Rural electrification has been recognized as playing a key role in helping poverty-stricken rural regions to develop sustainable livelihoods. Yet, despite several plans initiated by governments, rural electrification alone has fallen short in providing sustainable solutions for the development of rural areas. In this paper, a multidisciplinary approach is prescribed. A framework to achieve sustainable development is presented where microfinancing, social cooperation, and Self-Help-Groups, stimulate entrepreneurship, and where cost effective solar + battery electricity solutions support local initiatives. Microgrid simulations based on field data show in what proportion autonomous microgrids are more cost effective when rural businesses, workshops, schools, or GSM towers, (i.e. anchor customers) complement households’ loads. Experience shows that this is also a critical factor of sustainability. Therefore, rural development and electrification campaigns would benefit from the cooperative association among anchor customers, Self-Help-Groups, and microfinancing. These findings can support policy makers, government, and regulators for the development of successful rural electrification campaigns.