Ethics and Methodology for Business Research into CSR: Navigating Complexity in Corporate Social Responsibility Investigation

Martin Munyao Muinde

Email: ephantusmartin@gmail.com

Abstract

This comprehensive examination explores the intricate relationship between research ethics and methodological approaches in Corporate Social Responsibility (CSR) investigation. As CSR research increasingly influences corporate strategy, policy formulation, and stakeholder expectations, the ethical dimensions of research methodology become paramount. This study addresses the challenges researchers face when investigating CSR practices, including issues of objectivity, stakeholder representation, data integrity, and the potential impact of research findings on organizational behavior and societal outcomes. Through critical analysis of existing methodological frameworks and ethical considerations, this paper proposes integrated approaches that enhance both the rigor and ethical foundation of CSR research while maintaining academic integrity and practical relevance.

Keywords: corporate social responsibility research, research ethics, business methodology, stakeholder theory, qualitative research methods, quantitative analysis, mixed methods research, research integrity

Introduction

The exponential growth of Corporate Social Responsibility (CSR) as a field of academic inquiry and business practice has created unprecedented opportunities and challenges for researchers investigating the complex relationships between corporate behavior, social impact, and economic performance. As CSR research increasingly influences corporate decision-making processes, regulatory frameworks, and public policy initiatives, the ethical dimensions of research methodology have become critically important considerations for scholars and practitioners alike (Crane & Matten, 2016). The multifaceted nature of CSR phenomena requires sophisticated methodological approaches that can capture the nuanced interactions between organizational practices, stakeholder expectations, and societal outcomes while maintaining rigorous ethical standards.

Contemporary CSR research operates within a complex ecosystem where corporate interests, academic objectives, stakeholder concerns, and societal expectations frequently intersect and sometimes conflict. This complexity necessitates careful consideration of how research methodologies can be designed and implemented to ensure both scientific rigor and ethical integrity (Windsor, 2013). The potential for research findings to influence corporate behavior, investor decisions, consumer choices, and regulatory policies amplifies the responsibility of researchers to conduct investigations that are methodologically sound, ethically grounded, and socially responsible.

The emergence of sustainability reporting standards, stakeholder capitalism frameworks, and environmental, social, and governance (ESG) investment criteria has further elevated the importance of CSR research while simultaneously creating new ethical challenges for researchers. The growing demand for empirical evidence to support CSR claims and the increasing scrutiny of corporate sustainability practices require research methodologies that can effectively navigate the tensions between academic objectivity and practical relevance while maintaining ethical standards that protect all stakeholders involved in the research process.

Theoretical Foundations of Ethical CSR Research

The ethical foundation of CSR research rests upon several key theoretical frameworks that inform both the methodological approaches and the moral obligations of researchers investigating corporate social responsibility phenomena. Stakeholder theory, as articulated by Freeman (1984) and subsequently developed by numerous scholars, provides a fundamental lens through which researchers must consider the multiple constituencies affected by both CSR practices and CSR research activities. This theoretical framework emphasizes the importance of recognizing and respecting the diverse interests, perspectives, and rights of various stakeholder groups including employees, communities, customers, suppliers, investors, and civil society organizations.

The principle of distributive justice, derived from philosophical traditions addressing fairness and equity in resource allocation and social arrangements, becomes particularly relevant in CSR research contexts where findings may influence corporate resource allocation decisions, policy formulations, and stakeholder benefit distributions (Rawls, 1971). Researchers must carefully consider how their methodological choices and analytical frameworks may inadvertently privilege certain stakeholder perspectives while marginalizing others, potentially contributing to inequitable outcomes in corporate social responsibility implementation.

Utilitarian ethical frameworks, which emphasize the maximization of overall well-being and the minimization of harm, provide another important theoretical foundation for ethical CSR research. The utilitarian perspective requires researchers to consider the broader consequences of their research activities, including the potential positive and negative impacts on various stakeholder groups and society as a whole (Mill, 1863). This consideration extends beyond immediate research participants to encompass the broader implications of research findings for corporate behavior, regulatory policy, and social welfare.

Deontological ethical theories, which focus on the inherent rightness or wrongness of actions regardless of their consequences, also inform ethical CSR research practices. From this perspective, researchers have fundamental duties to conduct honest, transparent, and respectful research regardless of the potential outcomes or benefits that might accrue from alternative approaches (Kant, 1785). These duties include obligations to protect research participants, maintain data integrity, report findings accurately, and acknowledge limitations and potential biases in research design and implementation.

Methodological Challenges in CSR Research

The investigation of Corporate Social Responsibility phenomena presents unique methodological challenges that require careful consideration of both technical and ethical dimensions. The multidisciplinary nature of CSR research, which draws upon insights from management studies, economics, sociology, environmental science, and political science, necessitates methodological approaches that can effectively integrate diverse theoretical perspectives and analytical techniques while maintaining coherent ethical standards (Garriga & Melé, 2004). This integration challenge becomes particularly complex when researchers attempt to quantify qualitative phenomena such as social impact, stakeholder satisfaction, or community well-being.

The temporal dimension of CSR research presents another significant methodological challenge, as many corporate social responsibility initiatives require extended time periods to demonstrate meaningful impact or effectiveness. Longitudinal research designs, while methodologically superior for capturing the dynamic nature of CSR phenomena, create ethical obligations for researchers to maintain ongoing relationships with research participants and stakeholders over extended periods (Aguinis & Glavas, 2012). These extended relationships raise questions about researcher independence, potential conflicts of interest, and the appropriate management of evolving stakeholder expectations throughout the research process.

The measurement and evaluation of CSR outcomes presents particularly complex methodological and ethical challenges, as traditional quantitative metrics may inadequately capture the full range of social and environmental impacts associated with corporate activities. The development of appropriate measurement frameworks requires careful consideration of whose perspectives are prioritized in defining success, how conflicting stakeholder interests are balanced, and what constitutes adequate evidence of social or environmental benefit (Orlitzky, Schmidt, & Rynes, 2003). These measurement challenges are compounded by the potential for measurement systems themselves to influence corporate behavior and stakeholder expectations.

The global nature of many contemporary CSR initiatives requires research methodologies that can effectively address cross-cultural differences in values, expectations, and institutional contexts while maintaining ethical standards that respect diverse cultural perspectives and local priorities. Cross-cultural CSR research must navigate complex ethical terrain where Western academic frameworks may not adequately capture or respect indigenous knowledge systems, local values, or community-specific definitions of social responsibility (Jamali & Mirshak, 2007). This challenge requires researchers to develop culturally sensitive methodological approaches that can generate meaningful insights while avoiding cultural imperialism or the inappropriate imposition of external values.

Quantitative Approaches and Ethical Considerations

Quantitative research methodologies in CSR investigation offer significant advantages in terms of generalizability, statistical rigor, and the ability to test specific hypotheses about relationships between corporate social responsibility practices and various outcome measures. However, the application of quantitative approaches to CSR research raises important ethical considerations related to data collection, measurement validity, and the interpretation and communication of statistical findings (Margolis & Walsh, 2003). The use of large-scale databases, survey instruments, and statistical modeling techniques requires careful attention to issues of informed consent, data privacy, and the potential for statistical manipulation or misrepresentation.

The development of quantitative measures for CSR constructs often involves the reduction of complex social and environmental phenomena to numerical indicators that may not adequately capture the full range of stakeholder experiences or outcomes. This reductionist approach, while necessary for statistical analysis, creates ethical obligations for researchers to acknowledge the limitations of their measures and to avoid overstating the comprehensiveness or accuracy of their findings (Wood, 2010). The selection of particular metrics or indicators over others represents a value-laden choice that may privilege certain perspectives or interests while marginalizing others.

Large-scale quantitative studies of CSR practices frequently rely on secondary data sources such as corporate sustainability reports, third-party ratings, or government databases that may contain biases, inaccuracies, or gaps in coverage. The use of such data sources requires researchers to carefully evaluate the reliability and validity of their information while acknowledging the potential limitations and biases inherent in corporate self-reporting or third-party evaluation systems (Chatterji, Levine, & Toffel, 2009). Ethical research practices demand transparency about data sources, their limitations, and the potential implications of these limitations for research findings and conclusions.

The statistical analysis of CSR data often involves complex modeling techniques that may not be easily understood by non-technical audiences, including corporate managers, policymakers, and community stakeholders who may be affected by research findings. This complexity creates ethical obligations for researchers to communicate their findings in accessible ways while avoiding oversimplification that might lead to misunderstanding or misapplication of research results (Gond & Crane, 2010). The responsibility for accurate and accessible communication extends to the peer review process, where reviewers must evaluate both the technical adequacy and the ethical implications of quantitative CSR research.

Qualitative Methods and Stakeholder Engagement

Qualitative research methodologies offer unique advantages for CSR investigation by enabling deep exploration of stakeholder experiences, organizational processes, and the complex social dynamics that shape corporate social responsibility practices. Ethnographic studies, in-depth interviews, focus groups, and case study approaches can provide rich insights into the motivations, challenges, and impacts of CSR initiatives that may not be captured through quantitative measures alone (Bansal & Roth, 2000). However, the application of qualitative methods to CSR research requires careful consideration of power dynamics, representation issues, and the potential for researcher bias to influence data collection and interpretation processes.

The selection of research participants and stakeholder groups for qualitative CSR studies represents a critical ethical decision that can significantly influence research findings and their broader implications. Researchers must carefully consider how to ensure adequate representation of diverse stakeholder perspectives, particularly those of marginalized or vulnerable groups who may be most affected by corporate social responsibility practices but least likely to have formal channels for expressing their views (Spence, 2007). The inclusion of multiple stakeholder perspectives requires sophisticated approaches to data collection and analysis that can effectively integrate diverse viewpoints while acknowledging conflicts and contradictions.

The intimate nature of qualitative research relationships creates unique ethical obligations for CSR researchers, particularly when investigating sensitive topics such as environmental degradation, labor practices, or community displacement. Researchers must carefully navigate issues of confidentiality, anonymity, and potential harm to research participants while maintaining the integrity of their investigation (Tashman & Raelin, 2013). The potential for CSR research findings to influence corporate behavior or regulatory policy amplifies these ethical considerations, as participants may face retaliation or other consequences for their involvement in research activities.

The temporal dynamics of qualitative CSR research present additional ethical challenges, as the development of trust and rapport with research participants often requires extended engagement periods that may create ongoing obligations and relationships between researchers and stakeholders. These extended relationships must be managed carefully to maintain appropriate boundaries while honoring commitments made to research participants and communities (Laasch & Conaway, 2015). The termination of research relationships requires careful consideration of ongoing obligations and the appropriate transfer of any benefits or resources that may have been developed through the research process.

Mixed Methods Integration and Complexity

The complexity of Corporate Social Responsibility phenomena often necessitates mixed methods research approaches that combine quantitative and qualitative techniques to provide comprehensive understanding of CSR practices, processes, and outcomes. Mixed methods research in CSR contexts offers the potential to leverage the strengths of different methodological approaches while addressing their individual limitations, but it also creates complex ethical challenges related to data integration, participant burden, and the potential for contradictory findings (Creswell & Plano Clark, 2011). The successful implementation of mixed methods CSR research requires careful attention to the ethical implications of each methodological component as well as their integration.

The sequential implementation of different research phases in mixed methods CSR studies requires ongoing attention to issues of informed consent, as research participants may need to be informed about multiple phases of data collection and their rights and obligations throughout the extended research process. The use of findings from one research phase to inform subsequent phases creates potential for bias introduction and requires transparent reporting of how such integration occurred and its potential implications for research validity (Molina-Azorín, 2011). Researchers must carefully balance the benefits of iterative research design with ethical obligations to maintain consistency and transparency in their approaches.

The integration of quantitative and qualitative findings in mixed methods CSR research presents unique challenges related to the potential for different methodological approaches to yield contradictory or inconsistent results. Such contradictions may reflect the complexity of CSR phenomena rather than methodological weaknesses, but they create ethical obligations for researchers to acknowledge and explore these inconsistencies rather than selectively reporting findings that support predetermined conclusions (Johnson & Onwuegbuzie, 2004). The transparent reporting of methodological challenges and contradictory findings contributes to the overall integrity of CSR research while acknowledging the inherent complexity of corporate social responsibility phenomena.

The resource intensity of mixed methods research approaches may create ethical tensions related to the efficient use of research funding, participant time, and organizational resources. Researchers must carefully justify the additional complexity and resource requirements of mixed methods approaches by demonstrating their necessity for addressing specific research questions and their potential to generate insights that would not be available through single-method approaches (Teddlie & Tashakkori, 2009). This justification process requires explicit consideration of the costs and benefits of methodological complexity for all stakeholders involved in the research process.

Data Collection Ethics and Stakeholder Protection

The collection of data for CSR research involves multiple stakeholder groups with varying levels of power, vulnerability, and interest in research outcomes, creating complex ethical obligations for researchers to ensure appropriate protection and fair treatment of all participants. Corporate employees, community members, government officials, NGO representatives, and other stakeholders may have different expectations, concerns, and risks associated with their participation in CSR research, requiring tailored approaches to informed consent, confidentiality protection, and risk mitigation (Blowfield & Frynas, 2005). The power dynamics inherent in many CSR contexts, where corporations hold significantly more resources and influence than community stakeholders, require special attention to issues of coercion, exploitation, and fair treatment.

The collection of sensitive information about corporate practices, community impacts, or stakeholder experiences may create risks for research participants that extend beyond the immediate research context to include potential retaliation, legal consequences, or social ostracism. CSR researchers must carefully assess these potential risks and implement appropriate safeguards to protect participants while maintaining the integrity of their investigation (Calvano, 2008). The assessment and mitigation of participant risks requires ongoing attention throughout the research process, as changing circumstances may alter the risk profile for different stakeholder groups.

The use of organizational data, including internal documents, financial records, and operational information, requires careful negotiation of access agreements that balance research needs with corporate confidentiality concerns and competitive considerations. These negotiations must address issues of data ownership, publication rights, and the potential for research findings to affect corporate reputation or competitive position (Scherer & Palazzo, 2007). Researchers must maintain independence and objectivity while honoring legitimate confidentiality requirements and avoiding conflicts of interest that might compromise research integrity.

The global nature of many CSR initiatives requires attention to varying regulatory frameworks, cultural norms, and ethical standards across different jurisdictions and contexts. Researchers conducting international CSR studies must navigate complex ethical terrain where different countries may have varying requirements for research ethics approval, data protection, and participant rights (Kolk & van Tulder, 2010). The harmonization of ethical standards across multiple contexts requires careful consideration of the most stringent requirements while respecting local values and regulatory frameworks.

Publication Ethics and Knowledge Dissemination

The dissemination of CSR research findings through academic publications, conference presentations, and policy reports creates ethical obligations related to accuracy, transparency, and the potential impact of research findings on various stakeholder groups. The peer review process for CSR research must address both methodological rigor and ethical considerations, ensuring that published research meets appropriate standards for both scientific validity and ethical conduct (Lockett, Moon, & Visser, 2006). Reviewers and editors have responsibilities to identify potential ethical issues in research design, data collection, analysis, and reporting while supporting the advancement of knowledge in CSR fields.

The potential for CSR research findings to influence corporate behavior, investor decisions, consumer choices, and regulatory policy creates additional ethical obligations for researchers to ensure accurate and balanced reporting of their results. The selective reporting of findings that support particular perspectives or interests while suppressing contradictory evidence represents a serious ethical violation that can undermine the integrity of CSR research and its contribution to improved corporate social responsibility practices (Doh & Guay, 2006). Researchers must resist pressures from funding organizations, corporate partners, or advocacy groups to bias their reporting in favor of particular outcomes or interpretations.

The communication of complex CSR research findings to non-academic audiences, including corporate managers, policymakers, and community stakeholders, requires careful attention to issues of accessibility, accuracy, and potential misinterpretation. Researchers have ethical obligations to present their findings in ways that are understandable to relevant audiences while avoiding oversimplification that might lead to inappropriate conclusions or applications (Porter & Kramer, 2006). The development of multiple communication formats and channels may be necessary to ensure that research findings reach appropriate audiences and contribute to improved CSR practices.

The long-term impact of CSR research on corporate behavior and social outcomes creates ongoing ethical obligations for researchers to monitor and respond to the applications and misapplications of their findings. While researchers cannot control how their work is used by others, they have responsibilities to correct misrepresentations, clarify limitations, and contribute to ongoing discussions about the appropriate interpretation and application of their findings (McWilliams & Siegel, 2001). This ongoing engagement requires researchers to maintain active involvement in CSR discourse and to contribute to the development of ethical standards for research application and implementation.

Technological Innovations and Emerging Ethical Challenges

The rapid advancement of digital technologies, data analytics capabilities, and artificial intelligence applications has created new opportunities and challenges for CSR research methodologies while raising novel ethical questions about data collection, analysis, and application. Big data approaches to CSR investigation can potentially provide unprecedented insights into corporate behavior, stakeholder experiences, and social outcomes, but they also raise significant concerns about privacy, consent, and the appropriate use of digital information (George, Haas, & Pentland, 2014). The collection and analysis of social media data, satellite imagery, sensor networks, and other digital information sources require new frameworks for ethical evaluation and stakeholder protection.

The use of artificial intelligence and machine learning techniques in CSR research offers powerful capabilities for pattern recognition, predictive modeling, and large-scale analysis, but it also creates potential for algorithmic bias, discrimination, and the perpetuation of existing inequalities. Researchers employing these techniques must carefully consider how their algorithmic choices, training data, and analytical frameworks may embed particular values or perspectives while marginalizing others (O’Neil, 2016). The opacity of many machine learning approaches creates additional challenges for transparency and accountability in CSR research, requiring new approaches to explainable artificial intelligence and algorithmic auditing.

The increasing availability of real-time data streams and continuous monitoring capabilities creates opportunities for dynamic CSR research that can track corporate behavior and social outcomes over time with unprecedented granularity. However, these capabilities also raise questions about appropriate boundaries for corporate and stakeholder monitoring, the potential for surveillance and privacy violations, and the appropriate use of continuous data collection for research purposes (Zuboff, 2019). The development of ethical frameworks for real-time CSR monitoring requires careful balance between research benefits and stakeholder rights.

The globalization of digital technologies and data flows creates additional complexities for CSR research ethics, as data collected in one jurisdiction may be processed, analyzed, or stored in locations with different regulatory frameworks and ethical standards. Researchers must navigate varying requirements for data protection, privacy rights, and research ethics approval while ensuring that their research practices meet appropriate standards across all relevant jurisdictions (Floridi et al., 2018). The harmonization of ethical standards for digital CSR research requires ongoing international collaboration and the development of shared frameworks for ethical evaluation and stakeholder protection.

Future Directions and Recommendations

The evolution of Corporate Social Responsibility research requires continued attention to the development of ethical frameworks and methodological approaches that can address emerging challenges while maintaining rigorous standards for research integrity and stakeholder protection. The increasing complexity of CSR phenomena, the growing importance of research findings for corporate and policy decisions, and the rapid advancement of research technologies necessitate ongoing refinement of ethical standards and methodological best practices (Aguinis & Glavas, 2012). Future developments in CSR research ethics should emphasize participatory approaches that involve stakeholders in research design and evaluation processes.

The integration of diverse theoretical perspectives and methodological approaches in CSR research requires continued development of frameworks that can effectively address multidisciplinary complexity while maintaining coherent ethical standards. This integration challenge extends beyond individual research projects to encompass the broader CSR research community and its collective responsibility for advancing knowledge while protecting stakeholder interests (Crane et al., 2014). The development of professional standards, training programs, and certification processes for CSR researchers could contribute to improved ethical practices and enhanced research quality.

The global nature of contemporary CSR challenges requires increased attention to cross-cultural research ethics and the development of frameworks that can respect diverse values, priorities, and institutional contexts while maintaining rigorous research standards. This requirement extends to the development of inclusive research methodologies that can effectively engage stakeholders from different cultural backgrounds and power positions while avoiding the imposition of external values or priorities (Jamali, Safieddine, & Rabbath, 2008). The promotion of indigenous research capabilities and the support of local research capacity building represent important contributions to ethical CSR research practice.

The increasing influence of CSR research on corporate behavior, investment decisions, and regulatory policy creates growing responsibilities for the research community to ensure that research findings are accurate, balanced, and appropriately communicated to relevant audiences. This responsibility extends to the development of mechanisms for ongoing dialogue between researchers, practitioners, and policymakers to ensure that research contributes effectively to improved CSR practices and social outcomes (Matten & Moon, 2008). The establishment of forums for regular exchange and collaboration among different stakeholder groups could contribute to more ethical and effective CSR research practices.

Conclusion

The investigation of Corporate Social Responsibility phenomena requires sophisticated methodological approaches that can address the complexity, multidisciplionarity, and stakeholder diversity inherent in CSR contexts while maintaining rigorous ethical standards that protect all participants and serve broader social interests. The ethical dimensions of CSR research extend beyond traditional considerations of participant protection and data integrity to encompass broader questions about the social responsibility of researchers, the appropriate use of research findings, and the contribution of research activities to improved corporate social responsibility practices and social outcomes.

The development of ethical frameworks for CSR research requires ongoing attention to emerging challenges and opportunities created by technological advancement, globalization, and evolving stakeholder expectations. The integration of quantitative and qualitative methodological approaches offers significant potential for advancing understanding of CSR phenomena while creating complex ethical obligations related to data integration, stakeholder engagement, and the communication of research findings to diverse audiences.

The future development of CSR research ethics requires continued collaboration among researchers, practitioners, policymakers, and community stakeholders to ensure that research activities contribute effectively to improved corporate social responsibility practices while respecting stakeholder rights and promoting social justice. The establishment of professional standards, training programs, and ongoing dialogue mechanisms could contribute significantly to the advancement of ethical CSR research practices and the enhancement of research contributions to corporate social responsibility and social welfare.

The responsibility of CSR researchers extends beyond the immediate research context to encompass broader considerations of research impact, social responsibility, and the contribution of academic investigation to improved corporate behavior and social outcomes. This expanded understanding of research ethics requires ongoing reflection, dialogue, and refinement of research practices to ensure that CSR investigation continues to serve the broader interests of society while maintaining the highest standards of research integrity and stakeholder protection.

References

Aguinis, H., & Glavas, A. (2012). What we know and don’t know about corporate social responsibility: A review and research agenda. Journal of Management, 38(4), 932-968.

Bansal, P., & Roth, K. (2000). Why companies go green: A model of ecological responsiveness. Academy of Management Journal, 43(4), 717-736.

Blowfield, M., & Frynas, J. G. (2005). Setting new agendas: Critical perspectives on corporate social responsibility in the developing world. International Affairs, 81(3), 499-513.

Calvano, L. (2008). Multinational corporations and local communities: A critical analysis of conflict. Journal of Business Ethics, 82(4), 793-805.

Chatterji, A. K., Levine, D. I., & Toffel, M. W. (2009). How well do social ratings actually measure corporate social responsibility? Journal of Economics & Management Strategy, 18(1), 125-169.

Crane, A., & Matten, D. (2016). Business ethics: Managing corporate citizenship and sustainability in the age of globalization. Oxford: Oxford University Press.

Crane, A., Palazzo, G., Spence, L. J., & Matten, D. (2014). Contesting the value of “creating shared value”. California Management Review, 56(2), 130-153.

Creswell, J. W., & Plano Clark, V. L. (2011). Designing and conducting mixed methods research. Thousand Oaks: Sage Publications.

Doh, J. P., & Guay, T. R. (2006). Corporate social responsibility, public policy, and NGO activism in Europe and the United States: An institutional‐stakeholder perspective. Journal of Management Studies, 43(1), 47-73.

Floridi, L., Cowls, J., Beltrametti, M., Chatila, R., Chazerand, P., Dignum, V., … & Vayena, E. (2018). AI4People—an ethical framework for a good AI society: Opportunities, risks, principles, and recommendations. Minds and Machines, 28(4), 689-707.

Freeman, R. E. (1984). Strategic management: A stakeholder approach. Boston: Pitman.

Garriga, E., & Melé, D. (2004). Corporate social responsibility theories: Mapping the territory. Journal of Business Ethics, 53(1-2), 51-71.

George, G., Haas, M. R., & Pentland, A. (2014). Big data and management. Academy of Management Journal, 57(2), 321-326.

Gond, J. P., & Crane, A. (2010). Corporate social performance disoriented: Saving the lost paradigm? Business & Society, 49(4), 677-703.

Jamali, D., & Mirshak, R. (2007). Corporate social responsibility (CSR): Theory and practice in a developing country context. Journal of Business Ethics, 72(3), 243-262.

Jamali, D., Safieddine, A. M., & Rabbath, M. (2008). Corporate governance and corporate social responsibility synergies and interrelationships. Corporate Governance: An International Review, 16(5), 443-459.

Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14-26.

Kant, I. (1785). Groundwork for the metaphysics of morals. Cambridge: Cambridge University Press.

Kolk, A., & van Tulder, R. (2010). International business, corporate social responsibility and sustainable development. International Business Review, 19(2), 119-125.

Laasch, O., & Conaway, R. N. (2015). Principles of responsible management: Glocal sustainability, responsibility, and ethics. Boston: Cengage Learning.

Lockett, A., Moon, J., & Visser, W. (2006). Corporate social responsibility in management research: Focus, nature, salience and sources of influence. Journal of Management Studies, 43(1), 115-136.

Margolis, J. D., & Walsh, J. P. (2003). Misery loves companies: Rethinking social initiatives by business. Administrative Science Quarterly, 48(2), 268-305.

Matten, D., & Moon, J. (2008). “Implicit” and “explicit” CSR: A conceptual framework for a comparative understanding of corporate social responsibility. Academy of Management Review, 33(2), 404-424.

McWilliams, A., & Siegel, D. (2001). Corporate social responsibility: A theory of the firm perspective. Academy of Management Review, 26(1), 117-127.

Mill, J. S. (1863). Utilitarianism. London: Parker, Son, and Bourn.

Molina-Azorín, J. F. (2011). The use and added value of mixed methods in management research. Journal of Mixed Methods Research, 5(1), 7-24.

O’Neil, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. New York: Crown Publishers.

Orlitzky, M., Schmidt, F. L., & Rynes, S. L. (2003). Corporate social and financial performance: A meta-analysis. Organization Studies, 24(3), 403-441.

Porter, M. E., & Kramer, M. R. (2006). Strategy and society: The link between competitive advantage and corporate social responsibility. Harvard Business Review, 84(12), 78-92.

Rawls, J. (1971). A theory of justice. Cambridge: Harvard University Press.

Scherer, A. G., & Palazzo, G. (2007). Toward a political conception of corporate responsibility: Business and society seen from a Habermasian perspective. Academy of Management Review, 32(4), 1096-1120.

Spence, L. J. (2007). CSR and small business in a European policy context: The five “C”s of CSR and small business research agenda 2007. Business and Society Review, 112(4), 533-552.

Tashman, P., & Raelin, J. (2013). Who and what really matters to the firm: Moving stakeholder salience beyond managerial perceptions. Business Ethics Quarterly, 23(4), 591-616.

Teddlie, C., & Tashakkori, A. (2009). Foundations of mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences. Thousand Oaks: Sage Publications.

Windsor, D. (2013). Corporate social responsibility and irresponsibility: A positive theory approach. Journal of Business Research, 66(10), 1937-1944.

Wood, D. J. (2010). Measuring corporate social performance: A review. International Journal of Management Reviews, 12(1), 50-84.

Zuboff, S. (2019). The age of surveillance capitalism: The fight for a human future at the new frontier of power. New York: PublicAffairs.