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The appraisal of corporate reputation based on third-party corporate social responsibility (CSR) indices appears to have been institutionalized. The endorsement of such an approach by sustainability custodians and influencers undermines the uptake of the morality and legitimacy of CSR. This study takes a social realist perspective, which suggests that social phenomena such as CSR and corporate reputation are shaped by social structures and power relations. This study aims to contribute to a deeper understanding of the complex relationship between CSR and corporate reputation and understand ways in which the constructs are influenced by cognitive factors.

This study surveyed 411 respondents across five shopping malls and analyzed the data using path analysis of the structural equation modeling (SEM) technique. The mall-intercept survey sought to critically assess expectations of CSR vis-à-vis evaluation of corporate reputation. Based on a case study of three Johannesburg Stock Exchange listed companies, CSR expectations were measured along the philanthropic, economic, ethical and legal dimensions, while evaluation of corporate reputation was based on product quality, financial performance and social responsibility. SEM path analysis was used to extrapolate the predictive outcomes of CSR on corporate reputation.

Reputation for product quality and social responsibility is underpinned by the fulfillment of ethical CSR expectations, while philanthropic gestures enhance the evaluation of financial performance. Legal CSR significantly influences the reputation for social responsibility and product quality. Fulfillment of economic CSR expectations influences the reputation for product quality. However, no relationship was established between economic performance and social responsibility. Involvement in economic, philanthropic and particularly, legal CSR, are not indicative of the reputation for financial performance. Conversely, companies’ involvement in economic CSR does not suggest a higher propensity for social responsibility.

The predictive outcomes of CSR expectations on corporate reputation can reveal situated understanding of actual perceptions of corporate behavior.

Ethical business conduct is synonymously associated with social responsibility while espoused corporate philanthropy signals strong financial performance. The awareness of consumers’ cognitive evaluation of corporate reputation can offer a pathway to corporate communication professionals, policy makers and agencies to rethink and reposition CSR efforts.

Insensitivity to taken-for-granted cultural prescriptions and reliance on market-based reputational rankings undermine mutually beneficial stakeholder relationships and the social license to operate.

This study brings to the fore, cognitively dominated indicators of consumers’ perceptions of the reputation for CSR, to foster nuanced and halo-removed approaches to social responsibility. The authors show for the first time how companies’ skewed focus on corporate philanthropic giving paradoxically signals a capitalistic notion of social responsibility and unethical business conduct. This study offers a halo-removed orientation to the appraisal of CSR and corporate reputation.

This research aims to explore the research data ethics governance framework and collaborative network to optimize research data ethics governance practices, to balance the relationship between data development and utilization, open sharing, data security and to reduce the ethical risks that may arise from data sharing and utilization.

This study explores the framework and collaborative network of research data ethics policies by using the UK as an example. 78 policies from the UK government, university, research institution, funding agency, publisher, database, library and third-party organization are obtained. Adopting grounded theory (GT) and social network analysis (SNA), Nvivo12 is used to analyze these samples and summarize the research data ethics governance framework. Ucinet and Netdraw are used to reveal collaborative networks in policy.

Results indicate that the framework covers governance context, subject and measure. The content of governance context contains context description and data ethics issues analysis. Governance subject consists of defining subjects and facilitating their collaboration. Governance measure includes governance guidance and ethics governance initiatives in the data lifecycle. The collaborative network indicates that research institution plays a central role in ethics governance. The core of the governance content are ethics governance initiatives, governance guidance and governance context description.

This research provides new insights for policy analysis by combining GT and SNA methods. Research data ethics and its governance are conceptualized to complete data governance and research ethics theory.

A research data ethics governance framework and collaborative network are revealed, and actionable guidance for addressing essential aspects of research data ethics and multiple subjects to confer their functions in collaborative governance is provided.

This study analyzes policy text using qualitative and quantitative methods, ensuring fine-grained content profiling and improving policy research. A typical research data ethics governance framework is revealed. Various stakeholders' roles and priorities in collaborative governance are explored. These contribute to improving governance policies and governance levels in both theory and practice.