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The purpose of this paper is to consider borrower-specific characteristics to understand the factors affecting both the probability and quantum of loan default by individual borrowers under Islamic and conventional banking.

Borrower-specific characteristics that explain the probability of default may not necessarily be similar factors that determine the quantum of default. The authors therefore apply a Box-Cox double hurdle model to treat both the probability and quantum of default in a two-step approach. The authors also explain the differences in default risk and quantum of default between Islamic and conventional banking borrowers from their behavioral perspectives following the Sharia principles in financial transactions between lenders and borrowers. The authors use borrower-specific information of two separate bank branches of the United Arab Emirates that solely deal with either Islamic or conventional banking products.

The paper demonstrates that the probability of default and the quantum of default appear to be influenced by different set of client-specific factors. The results suggest that the probability of default does not vary significantly between Islamic and conventional banking borrowers. The evidence also shows that Islamic banking defaulters, compared to those in conventional banking, repay a large quantum of overdue when their financial leverage improves. However, they do not tend to reduce their outstanding quantum of overdue faster than conventional banking defaulters.

Availability of data from only two bank branches may limit the explanatory power of empirical findings.

The study findings will enable the Islamic and conventional banks to appropriately address Basel Capital requirements based on the borrowers’ behavior.

The study findings have the potential for Islamic and conventional financing institutions to be more flexible with equity in their lending practices.

Religious beliefs are crucial in borrower’s default behavior in Islamic banking.

The purpose of this paper is to investigate the impact of social capital of non-resident family members on small business debt financing. Recent literature in entrepreneurship suggests that small businesses can borrow social capital to improve their access to debt financing.

Micro-entrepreneurs from India were interviewed regarding their ability to raise capital from family members as well as their relationship with banks and politicians.

The survey indicates that small business entrepreneurs are able to borrow social capital from non-resident Indians. Results also suggest that these small businesses are more likely to be connected to banks and politicians facilitated by their non-resident family members, which not only improves micro-entrepreneurs’ access to debt financing but also reduces their cost of borrowing.

This is a co-relational study that investigates the association between social capital of non-resident family members and small business debt financing. There is not necessarily a causal relationship between the two. The findings of this study may only be generalized to firms similar to those that were included in this research.

This study contributes to the literature on the factors that improve the access to small business debt financing. The findings may be useful for financial managers, investors, financial management consultants, entrepreneurs, and other stakeholders.

The objective of this article is to investigate the moderating role of national cultures in the relationship between brand value and firm value.

This article examines the topic in the context of different national cultural attributes, including individualism, uncertainty avoidance, masculinity, power distance, and long-term orientation. We use brand values of the Financial Times Global 500 companies and national cultural values reported by Hofstede, GLOBE, and Schwartz.

Results exhibit that brands are more value-additive to companies in highly individualistic cultures. Furthermore, a valuable brand contributes more to firm value in countries with low uncertainty avoidance, high masculine, low power distance, and short-term oriented cultures.

The evidence suggests that while a valuable brand contributes to firm value, the level of its effect on firm value varies by national cultures.

The Gulf Cooperation Council (GCC) member countries have recently given tremendous emphasis to corporate entrepreneurship. The purpose of this paper is to investigate whether the lack of entrepreneurship in publicly listed GCC firms affects their ability to acquire debt financing.

Using stochastic frontier approach, the paper estimates an optimal revenue function given labor costs, operating expenses, and existing physical infrastructure of an organization. The paper estimates the difference between the optimal and actual level of firm revenues from a revenue frontier function, which can be partially resulted from managerial inefficiency due to the lack of corporate entrepreneurship. The paper uses fixed-effect panel regression and simultaneous equations system to determine the effect of such inefficiency on firms’ debt financing.

The main finding is that as entrepreneurial activities increase, firms’ ability to borrow from banks also increases. Results also indicate that increased borrowing improves internal governance practices and indirectly compel the management to become more efficient.

Results exhibit how improving entrepreneurship affects firms’ access to external financing when the financial markets are underdeveloped and are plagued with information asymmetry and agency problems.

The paper provides insights for policy makers in the GCC and other emerging countries where entrepreneurial activities are becoming a priority.

The paper develops a new proxy measure of entrepreneurship in public firms and advances our knowledge about the importance of entrepreneurship in finance.

The purpose of this paper is to determine whether corporate investment in real fixed assets in hot issue markets leads to higher income to shareholders than that in other equity market conditions.

The authors address the research question in two steps: first, the authors identify how security issuances in hot and cold issue markets influence corporate investment decisions. Second, the authors examine how debt- and equity-financed investments in two different market conditions affect future holding period returns. The sample includes an unbalanced panel data set consisting of all non-financial and non-utility US companies from 1973 to 2006. The authors apply both firm- and industry-level fixed effect methods to estimate the coefficients of two separate empirical models.

The authors find that equity issuances increase firms' capital investments in hot issue markets. These equity-financed investments in hot equity markets result in higher returns to shareholders compared to those in other market conditions. Therefore, there exists a window of opportunity for firms to issue new equities and make investments, which in turn improve shareholders' wealth.

The findings convey a critical message to corporate managers about the right timing of equity-financed capital investments.

While earlier research focuses on determining a specific equity market condition that favours new issuances, this paper determines a particular equity market condition when firms typically choose value-enhancing equity-backed projects for investment.

The purpose of this paper is to examine the signaling and free cash flow hypotheses of dividends in the context of an emerging financial market.

The authors use fundamental financial information of Chinese companies listed in the Shenzhen and Shanghai stock exchanges. They examine the impact of cash dividend payments on future profitability of individual firms with and without controlling for non-linearity in their earnings to test the signaling hypothesis. They also determine the characteristics of dividend paying firms to examine the free cash flow hypothesis.

It was found that while dividend increases by publicly listed Chinese firms are followed by increases in earnings in two subsequent years, such relationship does not exist in the case of dividend decreases. However, under the assumption of non-linearity of earnings, it was found that neither dividend increases nor dividend decreases convey any valuable information about future changes in earnings of Chinese firms. Further, it was found that firms with high cash holdings, large profitability and high managerial efficiency are likely to pay dividends. The authors therefore conclude that announcements of cash dividend payments do not signal future performance but indicate good governance practices of publicly traded firms in China.

This evidence is critical for potential foreign investors in their portfolio investment decisions and for regulators in determining an efficient measure of corporate disclosure in China.

Throughout history, tea garden workers are treated as slaves of employers and live an inhuman life in modern society. This paper aims to provide an account of the deplorable community (workers) of the tea garden in Bangladesh.

The authors used a mixed-method research approach to conduct this study. In the first stage, using a semi-structured questionnaire, Focus group discussions (FGDs) were done by forming two groups from two districts to get a clear picture of the tea garden workers’ living standards in Bangladesh. Based on the findings of the FGD, the researchers prepared a structured questionnaire containing the basic elements of their quality of work life. In this stage, the authors collected the information from 200 tea workers about their quality of work life.

The major finding showed that the overall country’s economy is booming because of tea workers’ contributions, but their economic conditions gradually become impoverished. The workers’ are living with colossal poverty and vulnerability. Besides, the workers are supposed to get fundamental rights, including food, clothing, shelter, education and health, but the higher authorities were found indifferent to take the necessary initiative to implement these rights.

The data was collected only from the tea garden workers. This study excluded any other parties (trade union leaders, panchayats, garden managers and owners). Thus, it is suggested that the researchers should conduct a similar study covering the opinion, including all the parties.

Both the workers and the higher authorities of the tea garden might benefit from this study’s findings. Workers will be more aware of their basic rights. The authorities can also prepare some effective policies to improve the overall quality of life of the tea workers.

To the best knowledge of the authors, this is the first study on tea garden workers’ inhuman life in Bangladesh in the entire emerald insight publishers.

In today’s competitive business landscape, organizations are increasingly recognizing the strategic advantage of implementing sustainable practices to gain a competitive edge. This study aims to investigate the effect of green artificial intelligence (AI) on achieving a green competitive advantage, examining the mediating roles of green organizational learning, green product innovation and green process innovation. Additionally, the research explores the moderating role of perceived green climate in the relationship between green AI and these mediating factors.

This research examined companies in Isfahan, Iran, that have varying levels of artificial intelligence adoption within their business processes. The target population consisted of 148 senior managers from these companies. This study uses structural equation modeling to examine the proposed model.

Green AI positively impacted green organizational learning and green process innovation but not green product innovation. In addition, the results showed that green organizational learning, green product innovation and green process innovation had positive effects on green competitive advantage. Finally, the results showed that the perceived green climate did not play a moderating role in the relationship between green AI and these mediating factors.

Organizations should prioritize green AI initiatives, foster a culture of green learning and invest in green innovation to achieve sustainable growth and outpace competitors in the environmentally conscious marketplace.

This study positions itself at the forefront of research on green AI and green competitive advantage. It offers a unique framework by examining the combined effects of green AI, green learning and both product and process innovation on achieving a sustainable competitive advantage.

This study aims to examine the impact of intellectual capital (IC) and its three components (human, structural and relational capital) on corporation performance in the Chinese transportation industry. In addition, this study also investigates auditor characteristics (both Big-N and non-Big-N auditors) as a moderating role to examine the relationship between IC and corporate performance.

The data include 398 firm-year observations of transportation companies listed on the Shanghai and Shenzhen Stock Exchange from 2011 to 2020. Value-added intellectual coefficient (VAIC) model and its modified version (MVAIC) are applied to measure IC efficiency. Finally, the fixed effects regression analysis is used to mitigate the endogeneity issue. To investigate the moderating effect of auditor characteristics, the authors divide the samples based on the clients audited by Big-4 and non-Big-4 firms.

This study reveals that IC can enhance firm performance in China’s transportation sector. Overall, findings indicate that on the whole, IC has a positive and significant impact on corporation profitability and productivity. Human capital and physical and financial assets (capital employed) play highly important roles, but structural capital has no significant impact. The authors also found that auditor characteristics play an important moderating role in the connection between IC and corporate performance. For example, the positive association between IC and corporate performance is more pronounced when Big-4 auditors audit client firms. At the same time, the authors found a negative relationship between IC and firm performance when non-Big-4 auditors audit client firms.

Managers must understand that several components of IC have a total effect on corporate financial performance. Therefore, managers can dedicate more resources to such components based on the performance outcomes to emphasize their business strategies.

This study is the first empirical analysis of the impact of IC and its components on corporation performance in the transportation sector in China, an emerging market. Previous studies mainly focus on developed countries’ high technology and financial industries sectors but the impact of IC in transportation industry largely remains unknown. Thus, the present findings contribute to IC literature by revealing several underlying mechanisms by which the components of IC help achieve good firm performance.

Despite unanimity in the literature that eco-innovation (EI) leads to sustainable development, evidence remains limited on measuring EI efficiency with the Malmquist productivity index (MPI). In conventional data envelopment analysis (DEA) models, decision-making units (DMUs) are inclined to assign more favorable weights, even zero, to the inputs and outputs to maximize their own efficiency. This paper aims to overcome this shortcoming by developing a common set of weights (CSW).

Using goal programming, this study develops a CSW model to evaluate the EI efficiency of the organization for economic co-operation and development (OECD) countries and track their changes with MPI during 2010–2018.

Achieving a complete ranking of DMUs, findings show the higher discrimination power of the proposed CSW compared with the original DEA models. Furthermore, results reveal that Iceland, Latvia and Luxembourg are the only OECD countries that have incessantly improved their EI productivity (MPI > 1) from 2010 to 2018. On the other hand, Japan is the OECD country that has experienced the highest yearly EI efficiency during 2010–2018. This paper also found that Iceland has the highest MPI over 2010–2018.

More investment in environmental research and development (R&D) projects instead of generic R&D enables OECD members to realize more opportunities for sustainable development through minimizing energy use and environmental pollution in any form of waste and greenhouse gas emissions.

In addition to developing a novel common weights model for DEA-MPI to measure and evaluate the EI of OECD countries, this paper develops a CSW model by including the undesirable outputs for EI analysis.