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1 – 5 of 5Simone Terzani and Teresa Turzo
This paper aims to investigate whether religiosity and religious diversity affect the adoption of sustainability reporting assurance (SRA) by companies based in predominantly…
Abstract
Purpose
This paper aims to investigate whether religiosity and religious diversity affect the adoption of sustainability reporting assurance (SRA) by companies based in predominantly Roman Catholic and Protestant countries. To this aim, a theoretical framework is developed using the social norm, signalling and agency theories.
Design/methodology/approach
A pooled logit regression model is applied on a sample of 2,541 firm-year observations collected from the most sustainable companies in Europe in the period between 2004 and 2015 to test the effect of religiosity on SRA adoption. Different analyses are used to check for the robustness of the findings and a generalized method of moments (GMM) is used to address potential endogeneity issues.
Findings
The results of this study show that companies based in highly religious countries are more likely to adopt SRA practices to show compliance with the religious social norms of their stakeholders. The results also show that companies based in predominantly Roman Catholic countries are more likely to adopt SRA practices than those operating in Protestant countries. This may be due to the fact that the structural organization of Catholicism is based on a vertical, top-down control system, which does not foster trust and requires constant assurance. This explains the emphasis placed on SRA by stakeholders adhering to Catholicism. Stakeholders from Protestant countries, on the other hand, tend to rely more on the principles of social ethics and social mutual control that characterize their doctrine and, therefore, do not need any additional, external assurance of corporate commitment to sustainability.
Originality/value
This paper provides new insights into the influence that religiosity and religious diversity have on SRA. This study also provides evidence on the usefulness of social norm theory for conducting empirical research into corporate practices and could set an example for future studies in this field.
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Wafa Jilani, Jamel Chouaibi and Ahmed Kouki
The main purpose of this paper is to look at the link between chief executive officer (CEO) behavior and corporate social responsibility (CSR) engagement with the moderating role…
Abstract
Purpose
The main purpose of this paper is to look at the link between chief executive officer (CEO) behavior and corporate social responsibility (CSR) engagement with the moderating role of bank risk-taking behavior.
Design/methodology/approach
Based on a 13-year data set (2007–2019), the authors applied the feasible generalized least squares with panel data to test the hypotheses.
Findings
The findings reveal a positive and significant link between CEO behavior and CSR engagement. Based on these findings, it can be argued that the characteristics of the CEO of the banks would improve the CSR strategies. Furthermore, the study suggests a moderating effect of bank risk-taking in the link between psychological bias and corporate social responsibility engagement (CSR engagement).
Practical implications
As CEO behavioral characteristics are essential to understanding CSR practice, boards of directors should consider the behavioral traits of dominant and overconfident CEOs while designing CSR practices.
Social implications
If the bank behaves in a socially responsible manner, direct and indirect stakeholders may be able to evaluate the level of risk-taking in more detail.
Originality/value
This research highlights the importance of CEO behavior characteristics for CSR, which is a crucial application that supports the upper echelons theory; and fills a gap in literature research. It is one of the few studies examining the interaction between risk-taking, CEO behavior and CSR engagement.
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Adele Berndt and Corné Meintjes
Family businesses feature prominently in economies, including the South African wine industry, using websites to convey their family identity. This research paper aims to explore…
Abstract
Purpose
Family businesses feature prominently in economies, including the South African wine industry, using websites to convey their family identity. This research paper aims to explore the family identity elements that family wineries use on their websites, their alignment and how these are communicated online.
Design/methodology/approach
Based on Gioia’s methodology, a two-pronged approach was used to analyze 113 wineries’ websites’ text using Atlas. ti from an interpretivist perspective.
Findings
South African wineries use corporate identity, corporate personality and corporate expression to illustrate their familiness on their websites. It is portrayed through their family name and heritage, supported by their direction, purpose and aspirations, which emerge from the family identity and personality. These are dynamic and expressed through verbal and visual elements. Wineries described their behaviour, relevant competencies and passion as personality traits. Sustainability was considered an integral part of their brand promise, closely related to their family identity and personality, reflecting their family-oriented philosophy. These findings highlight the integration that exists among these components.
Practical implications
Theoretically, this study proposes a family business brand identity framework emphasising the centrality of familiness to its identity, personality and expression. Using websites to illustrate this familiness is emphasised with the recommendation that family businesses leverage this unique attribute in their identity to communicate their authenticity.
Originality/value
This study contributes to understanding what family wineries communicate on their websites, specifically by examining the elements necessary to create a family business brand based on the interrelationship between family identity, personality and expression with familiness at its core, resulting in a proposed family business brand identity framework.
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Jiangtao Hong, Yuting Quan, Xinggang Tong and Kwok Hung Lau
The fresh food supply chain industry faces significant challenges in risk management because of the complexity, immature development and unpredictable external environment of…
Abstract
Purpose
The fresh food supply chain industry faces significant challenges in risk management because of the complexity, immature development and unpredictable external environment of imported fresh food supply chains (IFFSCs). This study aims to identify specific risk factors in IFFSCs, demonstrate how these risks are transmitted within the system and provide an analytical framework for managing these risks.
Design/methodology/approach
A total of 15 risk factors for IFFSCs through extensive literature review and expert consultation are identified and classified into seven levels using interpretive structural modeling (ISM) to demonstrate the risk transmission path. Fuzzy Matrice d’Impacts Croises-Multiplication Appliance Classement (MICMAC) analysis is then used to analyze the role of each factor.
Findings
The interactions of the 15 identified risk factors of IFFSCs, classified into seven levels, are visualized using ISM. The fuzzy MICMAC analysis classifies the factors into four groups, namely, dependent, independent, linkage and autonomous factors, and identifies the relatively critical risk factors in the system.
Research limitations/implications
The findings of this research provide a clear framework for enterprises operating in IFFSCs to understand the specific risks they may face and how these risks interact within the system. The fuzzy MICMAC analysis also classifies and highlights critical risk factors in the system to facilitate the formulation of appropriate mitigation measures.
Originality/value
This study provides enterprises in IFFSCs with a comprehensive understanding of how the risks can be effectively managed and a basis for further exploration. The theoretical model constructed is also a new effort to address the issues of risk in IFFSCs. The ISM and the fuzzy MICMAC analysis offer clear insights for researchers and enterprises to grasp complex concepts.
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