Abdalla, M., & Abdalla, M. (2020). The Grey Hoodie Project: Big Tobacco, Big Tech, and the threat on academic integrity. arXiv. https://doi.org/10.1145/3461702.3462563
AI Ethics Impact Group. (2020). From principles to practice: n interdisciplinary framework to operationalise AI ethics. VDE Association for Electrical Electronic & Information Technologies E.v., Bertelsmann Stiftung. https://doi.org/10.11586/2020013
Alvesson, M., & Sandberg, J. (2011). Generating research questions through problematization. Academy of Management Review, 36(2), 247–271. https://doi.org/10.5465/amr.2009.0188
Alvesson, M., & Sandberg, J. (2013). Constructing research questions. Developing interesting research through problematization. SAGE Publications.
Alvesson, M., & Sandberg, J. (2014). Habitat and habitus: Boxed-in versus box-breaking research. Organization Studies, 35(7), 967–987. https://doi.org/10.1177/0170840614530916
Appenzeller, T. (2017). The AI revolution in science. Science. https://doi.org/10.1126/science.aan7064
Astley, W. G., & Zammuto, R. F. (1992). Organization science, managers, and language games. Organization Science, 3(4), 443–460. https://doi.org/10.1287/orsc.3.4.443
Australian Competition & Consumer Commission. (2011). Green marketing and the Australian Consumer Law. Commonwealth of Australia. https://www.accc.gov.au/system/files/Green%20marketing%20and%20the%20ACL.pdf. Accessed 29 December 2020.
Becker-Olsen, K., & Potucek, S. (2013). Greenwashing. In Encyclopedia of Corporate Social Responsibility (pp. 1318–1323). Springer. https://doi.org/10.1007/978-3-642-28036-8_104
Beder, S. (2002). Putting the boot in. The Ecologist, 32(3), 24–28.
Benkler, Y. (2019). Don’t let industry write the rules for AI. Nature, 569(7755), 161–161.
Berrone, P., Fosfuri, A., & Gelabert, L. (2017). Does greenwashing pay off? Understanding the relationship between environmental actions and environmental legitimacy. Journal of Business Ethics, 144(2), 363–379. https://doi.org/10.1007/s10551-015-2816-9
Bietti, E. (2020). From ethics washing to ethics bashing: A view on tech ethics from within moral philosophy. In Proceedings of ACM FAT* Conference (FAT* 2020) (pp. 210–219). ACM. https://doi.org/10.1145/3351095.3372860
Bosse, D. A., & Phillips, R. A. (2016). Agency theory and bounded self-interest. Academy of Management Review, 41(2), 276–297. https://doi.org/10.5465/amr.2013.0420
Bowen, F. (2014). After greenwashing: Symbolic corporate environmentalism and society. Cambridge University Press. https://doi.org/10.1017/CBO9781139541213
Bromley, P., & Powell, W. W. (2012). From smoke and mirrors to walking the talk: Decoupling in the contemporary world. Academy of Management Annals, 6(1), 483–530. https://doi.org/10.5465/19416520.2012.684462
Brown, J. (2017). Why everyone is hating on IBM Watson—including the people who helped make it. Gizmodo. https://gizmodo.com/why-everyone-is-hating-on-watson-including-the-people-w-1797510888. Accessed 19 August 2020.
Bryson, J. J. (2020). The artificial intelligence of the ethics of artificial intelligence. In M. D. Dubber, F. Pasquale, & S. Das (Eds.), The oxford handbook of ethics of AI (pp. 3–25). Oxford University Press.
Buhmann, A., Paßmann, J., & Fieseler, C. (2020). Managing algorithmic accountability: Balancing reputational concerns, engagement strategies, and the potential of rational discourse. Journal of Business Ethics, 163(2), 265–280. https://doi.org/10.1007/s10551-019-04226-4
Canadian Standards Association (CSA). (2008). Environmental claims: a guide for industry and advertisers. https://www.competitionbureau.gc.ca/eic/site/cb-bc.nsf/vwapj/guide-for-industry-and-advertisers-en.pdf/$FILE/guide-for-industry-and-advertisers-en.pdf. Accessed 29 December 2020
Chalmers, D., MacKenzie, N. G., & Carter, S. (2020). Artificial intelligence and entrepreneurship: Implications for venture creation in the fourth industrial revolution. Entrepreneurship Theory and Practice. https://doi.org/10.1177/1042258720934581
Chesney, R., & Citron, D. (2019). Deep fakes: A looming challenge for privacy, democracy, and national security. California Law Review, 107, 1753–1820. https://doi.org/10.15779/Z38RV0D1
Christensen, L. T., Morsing, M., & Thyssen, O. (2017). License to critique: A communication perspective on sustainability standards. Business Ethics Quarterly, 27(2), 239–262. https://doi.org/10.1017/beq.2016.66
Christensen, L. T., Morsing, M., & Thyssen, O. (2020a). Talk-action dynamics: Modalities of aspirational talk. Organization Studies. https://doi.org/10.1177/0170840619896267
Christensen, L. T., Morsing, M., & Thyssen, O. (2020b). Timely hypocrisy? Hypocrisy temporalities in CSR communication. Journal of Business Research, 114, 327–335. https://doi.org/10.1016/j.jbusres.2019.07.020
Coeckelbergh, M. (2020). Artificial intelligence, responsibility attribution, and a relational justification of explainability. Science and Engineering Ethics, 26(4), 2051–2068. https://doi.org/10.1007/s11948-019-00146-8
Coeckelbergh, M. (2021). Green leviathan or the poetics of political liberty: Navigating freedom in the age of climate change and artificial intelligence. Routledge.
Connelly, B. L., Certo, S. T., Ireland, R. D., & Reutzel, C. R. (2011). Signaling theory: A review and assessment. Journal of Management, 37(1), 39–67. https://doi.org/10.1177/0149206310388419
Corbin, K. (2020). Lawmaker wants to know why climate misinformation is rampant on youtube. Forbes. https://www.forbes.com/sites/kennethcorbin/2020/01/28/lawmaker-wants-to-know-why-climate-misinformation-is-rampant-on-youtube/?sh=3e8a7d7c3af9. Accessed 14 November 2020.
Cornelissen, J. P. (2005). Beyond compare: Metaphor in organization theory. Academy of Management Review, 30(4), 751–764. https://doi.org/10.5465/AMR.2005.18378876
Cornelissen, J. P., & Durand, R. (2014). Moving forward: Developing theoretical contributions in management studies. Journal of Management Studies, 51(6), 995–1022. https://doi.org/10.1111/joms.12078
Crawford, K., & Calo, R. (2016). There is a blind spot in AI research. Nature, 538(7625), 311–313. https://doi.org/10.1038/538311a
Dau-Schmidt, K. G. (2018). The impact of emerging information technologies on the employment relationship: New gigs for labor and employment law. University of Chicago Legal Forum, 2017(4), 63–94.
Delmas, M. A., & Burbano, V. C. (2011). The drivers of greenwashing. California Management Review, 54(1), 1–38. https://doi.org/10.1016/0737-6782(88)90039-2
den Hond, F., Rehbein, K. A., de Bakker, F. G. A., & Lankveld, H. K. (2014). Playing on two chessboards: reputation effects between corporate social responsibility (CSR) and corporate political activity (CPA). Journal of Management Studies, 51(5), 790–813. https://doi.org/10.1111/joms.12063
Department for Environment Food and Rural Affairs (DEFRA). (2010). Green Claims Guidance. PB13453. https://www.ukcpi.org/_Assets/custom-docs/publications/pb13453-green-claims-guidance.pdf. Accessed 18 January 2021.
DeVellis, R. F. (2017). Scale development theory and applications (4th ed.). SAGE Publications Inc.
Douek, E. (2019). Facebook’s “Oversight Board:” Move fast with stable infrastructure and humility. North Carolina Journal of Law and Technology, 21(1), 1–78.
Du, X. (2014). How the market values greenwashing? Evidence from China. Journal of Business Ethics, 128(422), 547–574. https://doi.org/10.1007/s10551-014-2122-y
European Aviation Safety Agency. (2020). Artificial Intelligence Roadmap: A human-centric approach to AI in aviation. http://www.adfingo.com/easa-ai-roadmap-v10.pdf. Accessed 29 March 2020.
Federal Trade Commission (FTC). (2012). Part 260-guides for the use of environmental marketing claims. 77 FR 62124. https://www.ftc.gov/sites/default/files/attachments/press-releases/ftc-issues-revised-green-guides/greenguides.pdf. Accessed 20 December 2020.
Fisher, B. (2019). Top 5 AI hires companies need to succeed in 2019. KPMG. https://info.kpmg.us/news-perspectives/technology-innovation/top-5-ai-hires-companies-need-to-succeed-in-2019.html. Accessed 31 July 2020.
Floridi, L. (2019). Translating principles into practices of digital ethics: Five risks of being unethical. Philosophy and Technology, 32(2), 185–193.
Futerra Sustainability Communications. (2009). The greenwash guide. https://www.silvaporto.com.br/wp-content/uploads/2017/09/GUIA_GREENWASHING.pdf.
Gatti, L., Seele, P., & Rademacher, L. (2019). Grey zone in—greenwash out: A review of greenwashing research and implications for the voluntary-mandatory transition of CSR. International Journal of Corporate Social Responsibility, 4(1), 1–15. https://doi.org/10.1186/s40991-019-0044-9
Gentner, D., & Smith, L. (2012). Analogical reasoning. In Encyclopedia of human behavior (2nd edn., Vol. 1, pp. 130–136). Elsevier. https://doi.org/10.1016/B978-0-12-375000-6.00022-7
Ginder, W., Kwon, W. S., & Byun, S. E. (2019). Effects of internal-external congruence-based CSR positioning: An attribution theory approach. Journal of Business Ethics. https://doi.org/10.1007/s10551-019-04282-w
Glozer, S., & Morsing, M. (2020). Helpful hypocrisy? Investigating ‘double-talk’ and irony in CSR marketing communications. Journal of Business Research, 114(2018), 363–375. https://doi.org/10.1016/j.jbusres.2019.08.048
Greenwood, R., Oliver, C., Lawrence, T. B., & Meyer, R. E. (Eds.). (2018). The SAGE handbook of organizational institutionalism. SAGE Publications Ltd.
Greenwood, R., Raynard, M., Kodeih, F., Micelotta, E. R., & Lounsbury, M. (2011). Institutional complexity and organizational responses. The Academy of Management Annals, 5(1), 317–371. https://doi.org/10.1080/19416520.2011.590299
Guo, R., Tao, L., Li, C. B., & Wang, T. (2017). A path analysis of greenwashing in a trust crisis among Chinese energy companies: the role of brand legitimacy and brand loyalty. Journal of Business Ethics, 140(3), 523–536. https://doi.org/10.1007/s10551-015-2672-7
Haack, P., Schoeneborn, D., & Wickert, C. (2012). Talking the talk, moral entrapment, creeping commitment? Exploring narrative dynamics in corporate responsibility standardization. Organization Studies, 33(5–6), 815–845. https://doi.org/10.1177/0170840612443630
Hadani, M., & Schuler, D. A. (2013). In search of El Dorado: The elusive financial returns on corporate political investments. Strategic Management Journal, 34(2), 165–181. https://doi.org/10.1002/smj.2006
Hagendorff, T. (2019). The ethics of ai ethics—an evaluation of guidelines. https://arxiv.org/abs/1903.03425.
Hagendorff, T., & Meding, K. (2020). The big picture: Ethical considerations and statistical analysis of industry involvement in machine learning research. http://arxiv.org/abs/2006.04541.
Hao, K. (2019). In 2020, let’s stop AI ethics-washing and actually do something. MIT Technology Review. https://www.technologyreview.com/s/614992/ai-ethics-washing-time-to-act/. Accessed 22 January 2020.
Hao, K., & Stray, J. (2019). Can you make AI fairer than a judge? Play our courtroom algorithm game. MIT Technology Review. https://www.technologyreview.com/s/613508/ai-fairer-than-judge-criminal-risk-assessment-algorithm/. Accessed 5 February 2020.
Harvey, P., Madison, K., Martinko, M., Crook, T. R., & Crook, T. A. (2014). Attribution theory in the organizational sciences: The road traveled and the path ahead. Academy of Management Perspectives, 28(2), 128–146. https://doi.org/10.5465/amp.2012.0175
Hillman, A. J., Withers, M. C., & Collins, B. J. (2009). Resource dependence theory: A review. Journal of Management, 35(6), 1404–1427. https://doi.org/10.1177/0149206309343469
Hinkin, T. R. (1995). A review of scale development practices in the study of organizations. Journal of Management, 21(5), 967–988. https://doi.org/10.1177/014920639502100509
Huang, M.-H., & Rust, R. T. (2021a). A Framework for Collaborative Artificial Intelligence in Marketing. Journal of Retailing. https://doi.org/10.1016/j.jretai.2021.03.001
Huang, M.-H., & Rust, R. T. (2021b). Engaged to a robot? the Role of AI in service. Journal of Service Research, 24(1), 30–41. https://doi.org/10.1177/1094670520902266
IEEE Standards Association. (2020). The ethics certification program for autonomous and intelligent systems (ECPAIS). https://standards.ieee.org/industry-connections/ecpais.html. Accessed 20 March 2020.
Jeurissen, R. (1997). Integrating micro, meso and macro levels in business ethics. Ethical Perspectives, 4(4), 246–254. https://doi.org/10.2143/EP.4.4.562986
Jian, G., Shi, X., & Dalisay, F. (2014). Leader-member conversational quality: Scale development and validation through three studies. Management Communication Quarterly, 28(3), 375–403.
Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389–399. https://doi.org/10.1038/s42256-019-0088-2
Johnson, D. G. (2015). Technology with no human responsibility? Journal of Business Ethics, 127(4), 707–715. https://doi.org/10.1007/s10551-014-2180-1
Johnson, K. (2019). How AI companies can avoid ethics washing. VentureBeat. https://venturebeat.com/2019/07/17/how-ai-companies-can-avoid-ethics-washing/. Accessed 18 January 2020.
Johnson, K. (2021). Google targets AI ethics lead Margaret Mitchell after firing Timnit Gebru. VentureBeat. https://venturebeat.com/2021/01/20/google-targets-ai-ethics-lead-margaret-mitchell-after-firing-timnit-gebru/. Accessed 25 January 2021.
Jones, D. R. (2012). Looking through the “greenwashing glass cage” of the green league table towards the sustainability challenge for UK universities. Journal of Organizational Change Management, 25(4), 630–647. https://doi.org/10.1108/09534811211239263
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. https://doi.org/10.1126/science.aaa8415
Kalluri, P. (2020). Don’t ask if artificial intelligence is good or fair, ask how it shifts power. Nature, 583(7815), 169–169. https://doi.org/10.1038/d41586-020-02003-2
Kamara, I. (2017). Co regulation in EU personal data protection: The case of technical standards and the privacy by design standardisation “mandate.” European Journal of Law and Technology, 8(1), 1–24.
Ketokivi, M., Mantere, S., & Cornelissen, J. (2017). Reasoning by analogy and the progress of theory. Academy of Management Review, 42(4), 637–658. https://doi.org/10.5465/amr.2015.0322
Kinstler, L. (2020). Ethicists aim to save tech’s soul. Will anyone let them? Protocol LLC. https://www.protocol.com/ethics-silicon-valley. Accessed 6 February 2020.
Knight, W. (2019). Google appoints an “AI council” to head o ff controversy, but it proves controversial. MIT Technology Review. https://www.technologyreview.com/2019/03/26/136376/google-appoints-an-ai-council-to-head-off-controversy-but-it-proves-controversial/. Accessed 5 January 2020.
Koene, A., Clifton, C., Hatada, Y., Webb, H., & Richardson, R. (2019). A governance framework for algorithmic accountability and transparency. (Panel for the Future of Science and Technology EPRS | European Parliamentary Research Service, Ed.). European Union.
Kopnina, H. (2019). Green-washing or best case practices? Using circular economy and Cradle to Cradle case studies in business education. Journal of Cleaner Production, 219, 613–621. https://doi.org/10.1016/j.jclepro.2019.02.005
Lange, D., & Washburn, N. T. (2012). Understanding attributions of corporate social irresponsibility. Academy of Management Review, 37(2), 300–326. https://doi.org/10.5465/amr.2010.0522
Laroche, M., Bergeron, J., & Barbaro-Forleo, G. (2001). Targeting consumers who are willing to pay more for environmentally friendly products. Journal of Consumer Marketing, 18(6), 503–520. https://doi.org/10.1108/EUM0000000006155
Laufer, W. S. (2003). Social accountability and corporate greenwashing. Journal of Business Ethics, 43(3), 253–261. https://doi.org/10.1023/A:1022962719299
Levin, S. (2019). Google scraps AI ethics council after backlash: “Back to the drawing board.” The Guardian. https://www.theguardian.com/technology/2019/apr/04/google-ai-ethics-council-backlash. Accessed 22 January 2020.
Lim, S. J., & Phillips, J. (2008). Embedding CSR values: The global footwear industry’s evolving governance structure. Journal of Business Ethics, 81(1), 143–156. https://doi.org/10.1007/s10551-007-9485-2
Long, B. S., & Driscoll, C. (2008). Codes of ethics and the pursuit of organizational legitimacy: Theoretical and empirical contributions. Journal of Business Ethics, 77(2), 173–189. https://doi.org/10.1007/s10551-006-9307-y
Lyon, T. P., & Montgomery, A. W. (2015). The means and end of greenwash. Organization & Environment, 28(2), 223–249. https://doi.org/10.1177/1086026615575332
Lyytinen, K., Majchrzak, A., & Song, M. (2017). Reinventing innovation management in a digital world. MIS Quarterly: Management Information Systems, 41(1), 223–238.
Marciniak, A. (2010). Greenwashing as an example of ecological marketing misleading practices. Comparative Economic Research, 12(1–2), 49–59.
Marquis, C., Toffel, M. W., & Zhou, Y. (2016). Scrutiny, norms, and selective disclosure: a global study of greenwashing. Organization Science, 27(2), 483–504. https://doi.org/10.1287/orsc.2015.1039
Martin, K. (2019). Ethical implications and accountability of algorithms. Journal of Business Ethics, 160(4), 835–850. https://doi.org/10.1007/s10551-018-3921-3
Martin, K., Shilton, K., & Smith, J. (2019). Business and the ethical implications of technology: introduction to the symposium. Journal of Business Ethics, 160(2), 307–317. https://doi.org/10.1007/s10551-019-04213-9
Matejek, S., & Gössling, T. (2014). Beyond legitimacy: A case study in BP’s “Green Lashing.” Journal of Business Ethics, 120(4), 571–584. https://doi.org/10.1007/s10551-013-2006-6
McLennan, S., Fiske, A., Celi, L. A., Müller, R., Harder, J., Ritt, K., et al. (2020). An embedded ethics approach for AI development. Nature Machine Intelligence, 2(9), 488–490. https://doi.org/10.1038/s42256-020-0214-1
McMillan, D., & Brown, B. (2019). Against ethical AI. In Proceedings of the Halfway to the Future Symposium 2019 (pp. 1–3).ACM. https://doi.org/10.1145/3363384.3363393
Melé, D., & Armengou, J. (2016). Moral legitimacy in controversial projects and its relationship with social license to operate: A case study. Journal of Business Ethics, 136(4), 729–742. https://doi.org/10.1007/s10551-015-2866-z
Mellahi, K., Frynas, J. G., Sun, P., & Siegel, D. (2016). A review of the nonmarket strategy literature. Journal of Management, 42(1), 143–173. https://doi.org/10.1177/0149206315617241
Merriam-Webster Dictionary. (2020). Greenwashing. Merriam-Webster Dictionary Web Site. https://www.merriam-webster.com/dictionary/greenwashing. Accessed 5 August 2020.
Metz, C. (2019). A.I. is learning from humans. Many humans. The New York Times. Artificial intelligence is being taught by thousands of office workers around the world. It is not exactly futuristic work. Accessed 15 January 2020.
Metz, C., & Wakabayashi, D. (2020). Google researcher says she was fired over paper highlighting bias in A.I. The New York Times. https://www.nytimes.com/2020/12/03/technology/google-researcher-timnit-gebru.html. Accessed 4 December 2020.
Metzinger, T. (2019). EU guidelines: Ethics washing made in Europe. Der Tagesspiegel. https://www.tagesspiegel.de/politik/eu-guidelines-ethics-washing-made-in-europe/24195496.html. Accessed 25 November 2019.
Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence, 1(11), 501–507.
Mittelstadt, B. D., Stahl, B. C., & Fairweather, N. B. (2015). How to shape a better future? Epistemic difficulties for ethical assessment and anticipatory governance of emerging technologies. Ethical Theory and Moral Practice, 18(5), 1027–1047. https://doi.org/10.1007/s10677-015-9582-8
Mozafari, N., Weiger, W., & Hammerschmidt, M. (2020). Resolving the chatbot disclosure dilemma: Leveraging selective self-presentation to mitigate the negative effect of chatbot disclosure. In Proceedings of the Hawaii International Conference on System Sciences (pp. 2916–2923). https://www.researchgate.net/profile/Maik_Hammerschmidt/publication/344850372_Resolving_the_Chatbot_Disclosure_Dilemma_Leveraging_Selective_Self-Presentation_to_Mitigate_the_Negative_Effect_of_Chatbot_Disclosure/links/5f940c06299bf1b53e4088b6/Resolving-th.
Murray, A., Skene, K., & Haynes, K. (2017). The circular economy: An interdisciplinary exploration of the concept and application in a global context. Journal of Business Ethics, 140(3), 369–380. https://doi.org/10.1007/s10551-015-2693-2
Nersessian, N. J. (2008). Creating scientific concepts. The MIT Press.
Ng, A. (2016). What AI can and can’t do right now. Harvard Business Review, pp. 2–4. https://hbr.org/2016/11/what-artificial-intelligence-can-and-cant-do-right-now.
Noto La Diega, G. (2018). Against the dehumanisation of decision-making. Algorithmic decisions at the crossroads of intellectual property, data protection, and freedom of information. Journal of Intellectual Property, Information Technology and Electronic Commerce Law. https://doi.org/10.31228/osf.io/s2jnk
Nyilasy, G., Gangadharbatla, H., & Paladino, A. (2014). Perceived greenwashing: The interactive effects of green advertising and corporate environmental performance on consumer reactions. Journal of Business Ethics, 125(4), 693–707. https://doi.org/10.1007/s10551-013-1944-3
Obar, J. A., & Oeldorf-Hirsch, A. (2020). The biggest lie on the Internet: Ignoring the privacy policies and terms of service policies of social networking services. Information, Communication & Society, 23(1), 128–147. https://doi.org/10.1080/1369118X.2018.1486870
Obradovich, B. N., Powers, W., Cebrian, M., Rahwan, I., & Content, R. (2019). Beware corporate “machinewashing” of AI. Media MIT. https://www.media.mit.edu/articles/beware-corporate-machinewashing-of-ai/. Accessed 15 March 2020.
Ochigame, R. (2019). The invention of “Ethical AI”: How big tech manipulates academia to avoid regulation. The Intercept. https://theintercept.com/2019/12/20/mit-ethical-ai-artificial-intelligence/. Accessed 22 January 2020.
Ochigame, R., Lundgard, A., Dominguez, A. E., Zong, J., Ballard, G., Haslanger, S., et al. (2019). The struggle to democratize MIT Undemocratic committees won’t stop unethical financial partnerships. The Tech. https://thetech.com/2019/10/23/struggle-democratize-mit. Accessed 28 January 2020.
Orange, E. (2010). From eco-friendly to eco-intelligent. Futurist, 44(5), 29–32.
Oxford English Dictionary. (2012). Greenwashing, n. http://www.oed.com/view/Entry/249122. Accessed 28 February 2018.
Palazzo, G., & Scherer, A. G. (2006). Corporate legitimacy as deliberation: A communicative framework. Journal of Business Ethics, 66(1), 71–88.
Papazoglou, A. (2019). Silicon valley’ s secret philosophers should share their work opinion. Wired. https://www.wired.com/story/silicon-valleys-secret-philosophers-should-share-their-work/. Accessed 14 January 2020.
Petrenko, O. V., Aime, F., Ridge, J., & Hill, A. (2016). Corporate social responsibility or CEO narcissism? CSR motivations and organizational performance. Strategic Management Journal, 37(2), 262–279. https://doi.org/10.1002/smj.2348
Pizzetti, M., Gatti, L., & Seele, P. (2019). Firms talk, suppliers walk: Analyzing the locus of greenwashing in the blame game and introducing ‘Vicarious Greenwashing.’ Journal of Business Ethics. https://doi.org/10.1007/s10551-019-04406-2
Pope, S., & Wæraas, A. (2016). CSR-washing is rare: A conceptual framework, literature review, and critique. Journal of Business Ethics, 137(1), 173–193. https://doi.org/10.1007/s10551-015-2546-z
Rakova, B., Yang, J., Cramer, H., & Chowdhury, R. (2020). Where responsible AI meets reality: Practitioner perspectives on enablers for shifting organizational practices. Proceedings of the ACM on Human-Computer Interaction, 1(1), 1–18.
Ramdhony, D. (2018). The implications of mandatory corporate social responsibility: A literature review perspective. Theoretical Economics Letters, 08(03), 432–447. https://doi.org/10.4236/tel.2018.83031
Rehbein, K., den Hond, F., & Bakker, F. G. A. (2018). Aligning adverse activities? Corporate social responsibility and political activity (pp. 295–324). Emerald Publishing Limited. https://doi.org/10.1108/S2514-175920180000002008
Rességuier, A., & Rodrigues, R. (2020). AI ethics should not remain toothless! A call to bring back the teeth of ethics. Big Data & Society, 7(2), 1–5. https://doi.org/10.1177/2053951720942541
Roose, K. (2019). The hidden automation agenda of the davos elite: the New York Times. The New York Times. https://www.nytimes.com/2019/01/25/technology/automation-davos-world-economic-forum.html. Accessed 15 July 2020.
Rust, R. T., & Huang, M.-H. (2021). Moral, ethical, and governance implications. In The Feeling Economy (pp. 129–138). Springer International Publishing. https://doi.org/10.1007/978-3-030-52977-2_12
Satariano, A. (2020). Silicon valley heads to europe, nervous about new rules. The New York Times. https://www.nytimes.com/2020/02/16/technology/europe-new-AI-tech-regulations.html?action=click&module=Well&pgtype=Homepage§ion=Technology.
Scholz, M., & de los Reyes, G., & Smith, N. C. (2019). The enduring potential of justified hypernorms. Business Ethics Quarterly, 29(03), 317–342. https://doi.org/10.1017/beq.2018.42
Scott, W. R. (2014). Institutions and organizations: Ideas, interests, and identities (4th ed.). SAGE Publications Inc.
Seele, P., Dierksmeier, C., Hofstetter, R., & Schultz, M. D. (2021). Mapping the ethicality of algorithmic pricing: A review of dynamic and personalized pricing. Journal of Business Ethics, 170(4), 697–719. https://doi.org/10.1007/s10551-019-04371-w
Seele, P., & Gatti, L. (2017). Greenwashing revisited: In search of a typology and accusation-based definition incorporating legitimacy strategies. Business Strategy and the Environment, 26(2), 239–252.
Seele, P., & Lock, I. (2015). Instrumental and/or deliberative? A typology of CSR communication tools. Journal of Business Ethics, 131(2), 401–414. https://doi.org/10.1007/s10551-014-2282-9
Sharkey, N. (2018). Mama mia it’s sophia: a show robot or dangerous platform to mislead? Forbes. https://www.forbes.com/sites/noelsharkey/2018/11/17/mama-mia-its-sophia-a-show-robot-or-dangerous-platform-to-mislead/?sh=7648eb477ac9. Accessed 5 December 2020.
Sheehy, B. (2014). Defining CSR: problems and solutions. Journal of Business Ethics, 131(3), 625–648. https://doi.org/10.1007/s10551-014-2281-x
Shirodkar, V., Beddewela, E., & Richter, U. H. (2018). Firm-level determinants of political CSR in emerging economies: Evidence from India. Journal of Business Ethics, 148(3), 673–688. https://doi.org/10.1007/s10551-016-3022-0
Suchman, M. C. (1995). Managing legitimacy: Strategic and institutional approaches. Academy of Management Review, 20(3), 571–610. https://doi.org/10.5465/AMR.1995.9508080331
Suddaby, R., Bitektine, A., & Haack, P. (2017). Legitimacy. Academy of Management Annals, 11(1), 451–478. https://doi.org/10.5465/annals.2015.0101
Susser, D. (2019). Ethics alone can’t fix big tech. Slate. https://slate.com/technology/2019/04/ethics-board-google-ai.html. Accessed 22 January 2020.
Swedberg, R. (Ed.). (2014). Theorizing in Social science. Stanford University Press.
Szabo, S., & Webster, J. (2020). Perceived greenwashing: The effects of green marketing on environmental and product perceptions. Journal of Business Ethics. https://doi.org/10.1007/s10551-020-04461-0
TerraChoice. (2010). The sins of greenwashing home and family edition 2010. Underwriters Laboratories. http://sinsofgreenwashing.org/findings/greenwashing-report-2010/. Accessed 12 April 2020.
Theodorou, A., & Dignum, V. (2020). Towards ethical and socio-legal governance in AI. Nature Machine Intelligence, 2(1), 10–12. https://doi.org/10.1038/s42256-019-0136-y
Truby, J. (2020). Governing artificial intelligence to benefit the UN sustainable development goals. Sustainable Development, 2, 2048.
Umbrello, S., & van de Poel, I. (2020). Mapping value sensitive design onto AI for social good principles. Online Document. https://philpapers.org/archive/UMBMVS.pdf. Accessed 4 August 2020.
Vaughan, D. (2014). 3. Analogy, cases, and comparative social organization. In Theorizing in social science (pp. 61–84). Stanford University Press. https://doi.org/10.1515/9780804791199-005
Verbeke, A., & Greidanus, N. (2009). The end of the opportunism vs trust debate: Bounded reliability as a new envelope concept in research on MNE governance. Journal of International Business, 40(9), 1471–1495.
Vincent, J. (2021). Google is poisoning its reputation with AI researchers. The Verge. https://www.theverge.com/2021/4/13/22370158/google-ai-ethics-timnit-gebru-margaret-mitchell-firing-reputation. Accessed 16 April 2021.
Waddell, K. (2019). The dangers of “AI washing.” Axios. https://www.axios.com/ai-washing-hidden-people-00ab65c0-ea2a-4034-bd82-4b747567cba7.html. Accessed 16 January 2020.
Wagner, B. (2018). Ethics as an escape from regulation: From ethics-washing to ethics-shopping? In B. Emre, B. Irina, J. Liisa, & H. Mireille (Eds.), Being profiled - cogitas ergo sum (pp. 84–89). Amsterdam University Press.
Wagner, B., & Winkler, T. (2019). Comparing routing predictions: travel time estimates and user accountability in navigation apps. In Twenty-Seventh European Conference on Information Systems (ECIS2019) (pp. 1–8).
Wakabayashi, D. (2020). Big tech funds a think tank pushing for fewer rules. For Big Tech. The New York Times. https://www.nytimes.com/2020/07/24/technology/global-antitrust-institute-google-amazon-qualcomm.html. Accessed 27 July 2020.
Walker, K., & Wan, F. (2012). The harm of symbolic actions and green-washing: Corporate actions and communications on environmental performance and their financial implications. Journal of Business Ethics, 109(2), 227–242. https://doi.org/10.1007/s10551-011-1122-4
Walter, B. L. (2010). Verantwortliche Unternehmensführung überzeugend kommunizieren: Strategien für mehr Transparenz und Glaubwürdigkeit. Gabler Verlag.
Whelan, J., & Demangeot, C. (2015). Signaling theory. In Wiley encyclopedia of management (pp. 1–1). Wiley https://doi.org/10.1002/9781118785317.weom090243
Williamson, O. E. (1971). The vertical integration of production: market failure considerations. The American Economic Review, 61(2), 112–123.
Winkler, P., Etter, M., & Castelló, I. (2020). Vicious and virtuous circles of aspirational talk: From self-persuasive to agonistic CSR rhetoric. Business and Society, 59(1), 98–128. https://doi.org/10.1177/0007650319825758
Wright, J. D., Dorsey, E., Rybnicek, J., & Klick, J. (2018). Requiem for a paradox: The dubious rise and inevitable fall of hipster antitrust. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3249524
Wu, Y., Zhang, K., & Xie, J. (2020). Bad greenwashing, good greenwashing: Corporate social responsibility and information transparency. Management Science, 66(7), 3095–3112. https://doi.org/10.1287/mnsc.2019.3340
Yeung, K. (2019). Responsibility and AI. Council of Europe DGI(2019)05. https://rm.coe.int/responsability-and-ai-en/168097d9c5. Accessed 15 February 2020.
Yeung, K., Howes, A., & Pogrebna, G. (2020). AI governance by human rights-centred design, deliberation and oversight: An end to ethics washing. In M. Dubber, F. Pasquale, & S. Das (Eds.), Oxford handbook of the ethics of artificial intelligence. Oxford University Press.
Yuste, R., Goering, S., Arcas, B. A., Bi, G., Carmena, J. M., Carter, A., et al. (2017). Four ethical priorities for neurotechnologies and AI. Nature, 551(7679), 159–163. https://doi.org/10.1038/551159a
Zanasi, C., Rota, C., Trerè, S., & Falciatori, S. (2017). An assessment of the food companies sustainability policies through a greenwashing indicator. International Journal on Food System Dynamics, 74, 61–81. https://doi.org/10.18461/pfsd.2017.1707
Zuboff, S. (2019). The Age of Surveillance Capitalism: The fight for a human future at the new frontier of power. Profile Books Ltd.
Zuboff, S. (2021). The coup we are not talking about. The New York Times. https://www.nytimes.com/2021/01/29/opinion/sunday/facebook-surveillance-society-technology.html. Accessed 29 January 2021.