PurposeThis study is undertaken to examine the role of information and communication technology (ICT), e-service quality and e-information quality towards brand image of universities by concentrating on students’ e-learning, e-word of mouth and satisfaction.Design/methodology/approachThe target population was the students of public and private universities in Pakistan. Data collected using an e-questionnaire by 408 students were subjected to PLS-SEM for analysis.FindingsFindings revealed that ICT, e-service quality and e-information quality are positively contributed toward students' e-learning which ultimately leads to create positive e-word of mouth and students' satisfaction. Meanwhile, results also identified that e-word of mouth and students' satisfaction lead to generate a positive brand image of universities.Practical implicationsThis study has unique implications for universities to develop an e-learning platform to facilitate their students in this situation of COVID-19. It provides guidelines for educational institutions to implement the learning management system effectively with a view to facilitate the students with education.Originality/valueThis study has novel contribution in literature in the domain of digital learning. It is unique in a way to integrate the usage of technology with students' e-learning and satisfaction that ultimately create brand image of universities.

The primary objective of this paper is to investigate the relationship between total quality management practices (TQMP), supply chain management practices (SCMP), information technology capabilities, supply chain technology adoption and firm supply performance. In addition, the study also tries to investigate the mediating role of information technology capabilities and supply chain technology adoption in the relationship between TQMP, SCMP, and firm supply performance. The study is carried out on a sample of textile firms of Pakistan. To achieve the research objective, Smart PLS-3 is used for the analysis of the data gathered from the textile firms of Pakistan. The results of the study show a great deal of agreement with the hypothesized results. The information technology capabilities, supply chain technology adoption both appear to play mediators between TQMP, SCMP, and firm supply performance. The results of the study will be useful for policymakers and researchers to understand the emerging role of technology in strategic management and operational management.

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Purpose: The purpose of this study is to develop a distinctive formula (framework) for micro-enterprise success. As the success of micro-enterprise is under debate from many decades, however, the researchers and entrepreneurs are unable to find the unique factor to develop a comprehensive framework. Design/Methodology/Approach: The current study is based on conceptual framework. Prior studies are used to develop the framework and hypothesis. Moreover, conclusion is based on literature review. Findings: It is investigated that, microfinance factors (i.e., micro-credit and micro-training) has a positive relationship with micro-enterprise success. However, among all other microfinance factors (i.e., micro-saving, micro-insurance, social capital), micro-credit and micro-training have relatively higher effect on microenterprise performance followed by a level of education. Moreover, it is found that education mediates the relation between microfinance factors and micro-enterprise success. Implications/Originality/Value: This study contributed to the body of knowledge by developing a micro-enterprise success formula for researchers and entrepreneurs, which ultimately improve the performance of micro-enterprises. Hence, the current study is beneficial for microfinance institutions and other practitioners to enhance micro-enterprise success.

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Stock market, is one of the most important financial market which has a close relationship with a country's economy, due to which it is often called the barometer of the economy. Over the past 25 years, the stock markets have been affected by different global economic shocks. Various researchers have analyzed different aspects of these effects one by one, however, this study is an assessment of stock market interrelationship of emeriging Asian economies which include most of the East Asian, and Southeast Asian emerging economies with special focus on China for past decades during which different crisis occurred. We used Morgan Stanley capital international (MSCI) daily indices data for each stock market and compared Chinese stock market with the stock markets of India, Pakistan, Malaysia, Singapore, and Indonesia. We analyzed the data through the individual wavelet power spectrum, cross-wavelet transform and wavelet coherence, to determine the correlation and volatility among the selected stock markets. These model have the power to analyze co-movements among these countries with respect to both frequency and time spaces. Our findings show that there are co-movement patterns of higher frequencies during the crises periods of 1997, 2008 and 2015. The dependency strength among the considered economies is noted to increase in the crisis periods, which implies increased short-and long-term benefits for the investors. From a financial point of view, it has been determined that the co-movement strength among the emerging economies of Asia may have an effect on the VaR (Value at Risk) levels of a multi-country portfolio. Furthermore, the stock market of China shows a high correlation with the other six Asian stock emerging markets in both high and low-frequency spectrums. The association of the south and east Asian stock market with Chinese stock markets show the interconnection of these economies with the economy of China since past two decades. These findings are useful for investors, portfolio managers and the policymaker around the globe.

This paper examines the impact of economic and financial factors on tax revenue of Bahrain and Oman from 1990 to 2010. For this purpose, panel regression analysis is performed by considering economic and financial factors including growth domestic product (GDP), Deposit Interest Rate, Lending Interest Rate, Interest Rate Spread, Real Interest Rate, Bank Capital to Asset Ratio, Bank nonperforming loans to total gross loans, Risk premium on lending, Foreign direct investment net inflow and Cash surplus deficit. A conceptual model is developed for this purpose and the key findings are explained. The outcomes of the study explain that there was a significant relationship between Tax revenue and both economic and financial factors i.e. GDP growth, Bank capital to asset ratio, the Risk premium on lending, Foreign direct investment net inflow and Cash surplus/deficit over the period of study. The findings of the study are very much useful for the policymakers to consider which factors are affecting the tax revenues and in which direction. However, the findings of the study can be more meaningful with the addition of more economic and financial factors as well. Besides, the consideration of other Asian states will provide more evidence for the generalization of the findings. Meanwhile, this study will be a policy note on ongoing tax reforms in selected Middle East countries and will be helpful for policymakers and researchers in conceptualizing the tax revenue model for them.