Search results

There is still an ongoing debate on the value relevance of capital structure and its determinants. Recently the issue has been explored in family firms after being explored in mature firms. This paper investigates the role of institutional investors and the firm's innovation activity in influencing the firm's decision and ability to acquire debt capital.

A large sample of 700 privately-held family firms in Italy from 2010 to 2019. Two analysis techniques are used: panel analysis and path analysis. The value of debt and the debt ratio are used as leverage measures. The value of patent (as a proxy for innovation) and institutional investor are the explanatory variables.

The results show that institutional investors have no relationship with financial leverage measures except when controlling for an interaction variable (Institutional investors × Lombardy region). The patent value is positively correlated with debt; however, the ratio patent-to-asset is negatively related to financial leverage indicating higher risk exposure. The nonlinearity test demonstrates a turning point when the relationship between patent value and debt inverts.

Firms should monitor their innovation activity since excessive innovation increases risk exposure and affects financing opportunities and value. The involvement of institutional investors does not always enhance value.

Existing literature focuses separately on family firm innovations and financial leverage as outcome variables, emphasizing the role of institutional investors in both fields by adopting agency theory and socioemotional wealth framework. In this study, the authors go further by merging both relationships, investigating the dynamics of the institutional-family firm innovation relationship in influencing the firm's capital structure. The authors contribute to the ongoing debate by providing original findings on capital structure, governance and innovation, supported by rigorous methods to enhance family firms' decision-making.

This study aims to investigate whether there is any influence of the option plan to purchase shares protected from dividends to determine the distribution of dividends in Brazilian companies.

The authors used a Tobit dynamic and regressive regression model because their sample has an index higher than 30% of companies that do not pay dividends. The sample includes companies that pay dividends or not and pay their executives with executive stock option plans and is composed of 1,990 observations from 356 companies from 2010 to 2016.

The results indicated that the presence of a dividend protection clause has a positive association with the distribution of dividends. The authors sought to clarify that companies with a stock option plan protected by the distribution of dividends face fewer restrictions on the distribution of dividends. The authors found that most companies still use only stock options to benefit middle-ranking positions and fit the plan in their remuneration policy. The monitoring of these plans lasts an average of seven years, and specific acquisition conditions are not established with their beneficiaries, who must remain in the company and observe performance metrics.

This study is relevant because the relationship between dividends and stock options has not yet been analyzed in Brazil, especially concerning a dividend-protected option plan, which is a relatively recent modality, even unknown to some companies.

In this paper, we investigate the impact of remittances on control of corruption in Nigeria for a period of 1986–2016.

The study uses ARDL modeling framework, dynamic OLS estimation, variance decomposition and impulse response analysis to examine the relationship between the two variables.

The study finds that remittances significantly improve the control of corruption in Nigeria. We further examine the robustness test of the results using dynamic OLS estimation, variance decomposition and impulse response analysis. Our results remain significant and consistent to the earlier one reported in ARDL framework which supports the extant literature.

Our study suggests that international remittances can be used, through the cross-border transfer of norms and practices, to significantly impact the socioeconomic progresses of a country by reducing corruption.

The existing studies on the relationship between corruption and remittances document conflicting results. In addition, study on corruption - remittances nexus that specifically focuses on any African country is largely absent despite the fact that most of the countries in the region are recognized as highly corrupt. This paper provides insights on how remittances can be used as part of tool kits to control corruption in African nation.

The readymade garments (RMG) industry acts as one of the foremost vital catalysts for financial as well as social advancement of Bangladesh. Due to the harsh impact of COVID-19, RMG sector has been confronting a never-seen-before phenomenon. Since the supply chain has seriously been influenced, concern raises among industry and policymakers on how to support against disturbances resulting from pandemics. Accordingly, this research aims to explore the vulnerability and capability factors of RMG sector in Bangladesh, their relationship and how these variables affect supply chain resilience.

A qualitative research design has been employed. In the first stage, content analysis has been performed. Since COVID-19 is a new experience, newspapers were the source to become acquainted with the vulnerability and capability factors following the guidelines provided by Pettit et al. (2010). In the second stage, in-depth interviews with key informants were conducted to investigate the relationship among the variables and how these factors may influence supply chain resilience.

This study identifies fourteen capability factors and their sub-factors of RMG industry in Bangladesh in order to improve the resilience capacity against the vulnerabilities in the context of COVID-19 pandemic.

This research is based on the setting of particular industry in Bangladesh, where respondents are immersed in a unique culture. Special care is required to generalize the results to other segments and phenomena.

The framework recognizes the balanced and unbalanced strength with the capability's components and find the relation between capabilities and vulnerabilities within the fashion industry. By creating the resilience network with the four conceivable positions, companies can find themselves with their capability's components and natural vulnerabilities.

This study investigates diverse components of capability figure against vulnerabilities to create the supply chain resilience. This paper, moreover, develops with four conceivable positions with their capabilities against existing vulnerabilities which brings timely contribution considering the context of COVID-19.

This paper aims to identify, synthesise and critically examine the extant academic research on the relation between big data analytics (BDA), corporate accountability and non-financial disclosure (NFD) across several disciplines.

This paper uses a structured literature review methodology and applies “insight-critique-transformative redefinition” framework to interpret the findings, develop critique and formulate future research directions.

This paper identifies and critically examines 12 research themes across four macro categories. The insights presented in this paper indicate that the nature of the relationship between BDA and accountability depends on whether an organisation considers BDA as a value creation instrument or as a revenue generation source. This paper discusses how NFD can effectively increase corporate accountability for ethical, social and environmental consequences of BDA.

This paper presents the results of a structured literature review exploring the state-of-the-art of academic research on the relation between BDA, NFD and corporate accountability. This paper uses a systematic approach, to provide an exhaustive analysis of the phenomenon with rigorous and reproducible research criteria. This paper also presents a series of actionable insights of how corporate accountability for the use of big data and algorithmic decision-making can be enhanced.

This paper discusses how NFD can reduce negative social and environmental impact stemming from the corporate use of BDA.

To the best of the authors’ knowledge, this paper is the first one to provide a comprehensive synthesis of academic literature, identify research gaps and outline a prospective research agenda on the implications of big data technologies for NFD and corporate accountability along social, environmental and ethical dimensions.