Search results

This study aims to explore the impact of controversial firms’ corporate sustainability assessments on their risk exposure according to the environmental, social and governance (ESG) paradigm.

This study conducts a cross-sectional study using the ordinary least squares approach to test how corporate social responsibility practices affect firms’ risk exposure, testing the three single impacts of ESG components and the impact of an overall ESG assessment. This study considers the largest Standard & Poor’s (S&P) 500 stock market index companies and focus on a double-risk measurement – systematic and idiosyncratic – developing an empirical study on 132 controversial companies listed on the S&P index.

Empirical findings indicate that the overall ESG assessment and the environmental and social sub-dimensions decrease idiosyncratic firm risk. At the same time, no significant results are found according to the systematic risk component.

This study fits into the domain of risk management research, investigating whether additional and non-financial disclosures regarding sustainability issues decrease information asymmetries, improving investors’ decision-making and stakeholders’ relations. Prior literature has shown limited evidence on the relationship between corporate social performance (CSP) and firm risk based on controversial companies. The main contribution is to consider the controversy as an independent factor from the industry sector, given that the implications of CSP actions and practices are mainly firm-specific.

Researchers and practitioners have recently been interested in corporate sustainability performance (CSP). However, knowledge on measuring CSP is limited. Many CSP-measurements are eclectic, without guidance for contextual applications. This paper aims to develop a conceptual framework that categorizes, explains and evaluates measurements based on their accuracy and precision and provides a guideline for their context-specific application.

The authors conducted a systematic literature review of an initial sample of 1,415 papers.

The final sample of 74 papers suggested four measurement categories: isolated indicators, indicator frameworks, Sustainability Balanced Scorecards (SBSC) and Sustainability Performance Measurement Systems (SPMS). The analysis reveals that isolated indicators are inaccurate and imprecise, limiting their application to organizations with delimited, specific measurements of parts of CSP due to the risk of a GIGO-effect (i.e. low-quality input will always produce low-quality output). CSP-indicator frameworks are imprecise but accurate, making them applicable to organizations that handle a more significant amount of CSP data. They have a risk of greensplashing, i.e. many indicators not connected to the industry, organization or strategy. In contrast, SBSCs are precise but inaccurate and valuable for organizations desiring a comprehensive strategic management tool with limited capacity to handle sustainability issues. They pose a risk of the streetlight effect, where organisations do not measure relevant indicators but what is easy to measure.

The ideal CSP-measurement was identified as SPMSs, which are both precise and accurate. SPMSs are useful for organizations with complex, comprehensive, connected and tailored indicators but are methodologically challenging.

Customer social participation (CSP) is a new phenomenon that has emerged with the evolution of social media. Current literature designates customer participation in social media as “CSP”. Although CSP has been investigated in the online brand community context in social media, it has been little investigated in the context of student customers using WhatsApp – a highly trending social media platform among learners. Thus, this study aims to investigate the effectiveness of CSP in informal WhatsApp groups for academic purposes among undergraduate students of management studies.

The study adopted a single cross-sectional survey design. A structured online questionnaire was employed. Using convenience sampling technique, data were collected from 170 undergraduates of the Bachelor of Management Studies programme at the Open University of Sri Lanka.

The results revealed significant positive effects of functional, social and hedonic benefits with CSP. Meanwhile, the relationship between psychological benefits and CSP was insignificant. Furthermore, there is no influence of age and level of study on CSP among the learners in informal WhatsApp groups. Moreover, at present, the level of CSP in WhatsApp for academic purposes among students is moderate.

The role of the student as the customer and student behaviour in informal WhatsApp groups established for academic purposes have been little investigated in the field of open and distance education services. In this context, this study empirically validated the model of participation benefits and CSP in WhatsApp groups informally established for academic purposes.

This study aims to reveal the quantity, quality and cultural differences of negative corporate social performance (CSP) disclosures in large firms' corporate social responsibility (CSR) reports. Firms are expected to be transparent about the impacts and outcomes of their CSP. A central aspect of transparency is balance, which means disclosing both positive and negative CSP.

Content analysis was applied to 75 CSR reports of large firms chosen from the Forbes Top 500 list. The firms belong to three cultural clusters: Anglo, Confucian Asia and Germanic/Nordic Europe.

Firms made few negative CSP disclosures, yet the quantity of negative CSP disclosures varied among cultural clusters. Reports from Germanic/Nordic Europe showed the highest number of negative CSP disclosures, reports from Confucian Asia showed the lowest number and the Anglo cluster's number fell in between. The Asian firms communicated corrective actions more often than firms from the other clusters.

This study focused on negative CSP disclosures in the CSR reports – not omitting negative CSP. The practice of self-laudatory CSR communication decreases the likelihood that relevant stakeholders will believe what firms report about.

Studies on the quality and quantity of negative disclosures are rare; by examining cultural differences, this study contributes to the limited body of knowledge.

Lately, sustainability issues are increasingly affecting all sectors, even if oil and gas industry is highly required to improve its social performance because of the societal pressure to environmental protection and social welfare. Sustainability concerns and corporate governance features and practices are more and more connected because sustainability has been perceived as a crucial topic by owners and managers. In this perspective, the empirical analysis aims to explore whether and to what extent, sustainability-oriented corporate governance model is linked with social performance.

By adopting a multi-theoretical framework that includes the legitimacy theory, the stakeholder theory and the resource-based view theory, this analysis used a sample of 42 large European-listed companies belonging to the oil and gas industry. The authors run fixed effects regression models by using a dependent variable, i.e. the social score, available in ASSET4 Thomson Reuters, and some independent variables focused on sustainable corporate governance models, stakeholder engagement, firm profitability, market value and corporate risk level.

Drawing upon the investigation of a moderating effect, findings display that stakeholder engagement is positively associated with corporate social performance and it can be considered an important internal driver able to shape a corporate culture and most likely to address corporate social responsibility issues.

This study confirms the need to develop an organizational and holistic approach to corporate governance practices by analyzing internal and external governance mechanisms. From the managerial perspective, managers should opt for a sustainable corporate governance model, as it is positively correlated with corporate social performance.

There is an urgent need to investigate sustainability issues and their potential association with firm internal mechanisms, particularly in the oil and gas industry. This paper can extend the current body of knowledge by pointing out a positive relationship between stakeholder engagement and firm social performance.

The purpose of this study is to examine the influence of characteristics of the institutional environment on the disclosure of corporate social responsibility (CSR).

This is a quantitative and descriptive research. The dependent variables used were environmental dimension (ED) and social dimension (SD) that together compose the corporate social performance (CSP). The independent variables that will be used are the characteristics of the institutional environments of Brazil and the UK. Thus, for this end, variables of the national business system of both countries will be used: corruption transparency, access to credit by countries, quality of the education system and labor relations. After their collection, the data were submitted to descriptive and inferential statistics and hierarchical regression.

Data show that UK companies make more disclosure in CSR than Brazilian companies. Through linear regression, it can be seen that the institutional environment affects disclosure in CSR. In the UK, a country with better educational, labor, political and financial indicators than Brazil, it presented better CSR practices. The findings reveal that the better an institutional environment, the more firms act in CSR. The findings of the research confirm the premise of institutional theory: different institutional fields can modify business performance.

The study analyzed only the disclosure practices of companies in the public sector. Thus, the results should be carefully analyzed, without generalizations for all industry sectors. Therefore, it is suggested that future research looks at other industry sectors as well as other institutional contexts, i.e. other countries.

Multinational companies may have different CSR practices according to the institutional environment in which they operate. For example, companies in developed countries, such as the UK, have greater stakeholder pressure. Given this, managers must adapt their environmental strategies according to the institutional environment in which they operate.

This research contributes to CSR studies in various institutional contexts. There is a consensus in the literature that institutional environments affect firms' CSR practices. However, few empirical studies show results between the national business system and CSR. Thus, the present study intends to fill this research gap.

The purpose of this study is to develop a method to assess social performance. Traditionally, environment, social and governance (ESG) rating providers use subjectively weighted arithmetic averages to combine a set of social performance (SP) indicators into one single rating. To overcome this problem, this study investigates the preconditions for a new methodology for rating the SP component of the ESG by applying machine learning (ML) and artificial intelligence (AI) anchored to social controversies.

This study proposes the use of a data-driven rating methodology that derives the relative importance of SP features from their contribution to the prediction of social controversies. The authors use the proposed methodology to solve the weighting problem with overall ESG ratings and further investigate whether prediction is possible.

The authors find that ML models are able to predict controversies with high predictive performance and validity. The findings indicate that the weighting problem with the ESG ratings can be addressed with a data-driven approach. The decisive prerequisite, however, for the proposed rating methodology is that social controversies are predicted by a broad set of SP indicators. The results also suggest that predictively valid ratings can be developed with this ML-based AI method.

This study offers practical solutions to ESG rating problems that have implications for investors, ESG raters and socially responsible investments.

The proposed ML-based AI method can help to achieve better ESG ratings, which will in turn help to improve SP, which has implications for organizations and societies through sustainable development.

To the best of the authors’ knowledge, this research is one of the first studies that offers a unique method to address the ESG rating problem and improve sustainability by focusing on SP indicators.

The purpose of this study is to examine the moderating role of the characteristics of the chief executive officer (CEO) on the association between CEO power and corporate social responsibility (CSR) performance.

This paper conducts multiple regression analyses to empirically test the proposed hypotheses based on a sample of US-based publicly held companies. The sample period extends from 2000 to 2018. Firm-level CSR ratings are obtained from the Kinder, Lydenberg and Domini (KLD) database (currently known as MSCI ESG STATS). Financial data and CEO data are retrieved from Compustat and ExecuComp databases, respectively. Additional test and robustness analysis are performed.

This paper shows that firms with more powerful CEOs are less likely to engage in CSR activities. The negative association between CEO power and CSR is found to be exacerbated by CEOs who are younger, more competent and overconfident; however, this negative association is mitigated by CEOs who are female. This paper also finds that gender plays a more important role among CEO characteristics. Collectively, the findings highlight the potential opportunities to better understand the role of various CEO characteristics that jointly affect CSR.

First, this is the first study providing a comprehensive empirical analysis of how various CEO characteristics jointly affect CSR. Prior studies that focus on standalone CEO characteristics offer an incomplete picture of the relation between a single CEO characteristic and a firm's CSR performance. The current study thus extends the research field by examining the association between seemingly unrelated CEO characteristics and CSR performance. The results also highlight that gender is the critical factor moderating the relationship between CEO power and CSR performance when it is compared with CEO age, ability and overconfidence. Second, the authors add to the literature on employee selection by showing that female CEOs mitigate the negative effect of managerial power on CSR performance. Although the currently available empirical research in management control systems focuses on ex-post analyses of moral hazard mitigation for incumbent employees, both the economics and management literature acknowledge ex ante evidence suggesting that employee selection is even more important. Our findings may provide insight into the selection of CEOs.

The purpose of this paper is to examine the efficacy of the Japanese ten-item personality inventory (TIPI-J), a short version of the big five (BF) questionnaire, on crowdsourcing. The BF traits are indicators of personality and are said to be an effective predictor of study performance in various occupations. BF can be used in crowdsourcing to predict crowd workers’ performance; however, it will be difficult to use in practice for two reasons like the time-and-effort issue and the bias issue. In this study, an empirical analysis is conducted on crowdsourcing to examine if TIPI-J can solve those issues.

To investigate the issues, two tasks are posted on a crowdsourcing provider. Both TIPI-J and full version BF are conducted before and after selecting crowd workers. Structural validity and convergence validity are tested with correlation analysis between before (TIPI-J) and after (full version BF) data to examine the bias issue. Additionally, those correlations are compared with previous study and significances are examined.

The correlations in “conscientiousness” is 0.45-0.50, respectively, compared with a previous study, those two correlations did not show significance. This indicates that no clear bias exists.

This is the first research to investigate the efficacy of TIPI-J on crowdsourcing and showed that TIPI-J can be a useful tool for predicting crowd workers’ performance and thus it can help to select appropriate crowd workers.

This paper explores different approaches to regulating corporate social responsibility (CSR) patterns of adopting codes of conduct, and discusses the approach that courts should embrace.

Case studies from various legal systems will be examined. The paper presents new typology relating to different patterns of the Corporate Social Performance (CSP) model, based on aspects of the CSR pyramid, namely, legislative CSR and ethical CSR. Legislative CSR includes adoption of thin codes which reflect compliance within current legal standards of the criminal code, while ethical CSR includes codes reflecting ethical norms and corporate social citizenship beyond mere compliance. The paper also includes the interplay of different patterns of CSR and three approaches to regulation regarding these patterns.

Both the Israeli negative CSR regulatory approach and the American legislative CSR regulatory approach present difficulties.

The paper introduces a theory for regulating CSR within criminal law, drawing on the pyramid of CSR. It presents an original discussion of distinct approaches to regulation of corporate liability, while further developing the institutional theory of CSR and the interplay of regulation and CSR. The paper suggests a novel solution regarding the regulation and acceptance of CSR: the granting of protection from criminal liability to corporations who adopt CSR.