Business and the Ethical Implications of Technology: Introduction to the Symposium
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DOI: 10.1007/s10551-019-04213-9
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References listed on IDEAS
- Katie Shilton & Daniel Greene, 2019. "Linking Platforms, Practices, and Developer Ethics: Levers for Privacy Discourse in Mobile Application Development," Journal of Business Ethics, Springer, vol. 155(1), pages 131-146, March.
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Cited by:
- O. C. Ferrell & Dana E. Harrison & Linda K. Ferrell & Haya Ajjan & Bryan W. Hochstein, 2024. "A theoretical framework to guide AI ethical decision making," AMS Review, Springer;Academy of Marketing Science, vol. 14(1), pages 53-67, June.
- Niyi Ogunbiyi & Artie Basukoski & Thierry Chaussalet, 2021. "An Exploration of Ethical Decision Making with Intelligence Augmentation," Social Sciences, MDPI, vol. 10(2), pages 1-14, February.
- Maria Figueroa-Armijos & Brent B. Clark & Serge P. da Motta Veiga, 2023. "Ethical Perceptions of AI in Hiring and Organizational Trust: The Role of Performance Expectancy and Social Influence," Journal of Business Ethics, Springer, vol. 186(1), pages 179-197, August.
- Peter Seele & Mario D. Schultz, 2022. "From Greenwashing to Machinewashing: A Model and Future Directions Derived from Reasoning by Analogy," Journal of Business Ethics, Springer, vol. 178(4), pages 1063-1089, July.
- Jeff Hearn & Matthew Hall & Ruth Lewis & Charlotta Niemistö, 2023. "The Spread of Digital Intimate Partner Violence: Ethical Challenges for Business, Workplaces, Employers and Management," Journal of Business Ethics, Springer, vol. 187(4), pages 695-711, November.
- Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
- Stephanie Kelley, 2022. "Employee Perceptions of the Effective Adoption of AI Principles," Journal of Business Ethics, Springer, vol. 178(4), pages 871-893, July.
- David A. Spencer, 2023. "Automation and Well-Being: Bridging the Gap between Economics and Business Ethics," Journal of Business Ethics, Springer, vol. 187(2), pages 271-281, October.
- Evgenia I. Lysova & Jennifer Tosti-Kharas & Christopher Michaelson & Luke Fletcher & Catherine Bailey & Peter McGhee, 2023. "Ethics and the Future of Meaningful Work: Introduction to the Special Issue," Journal of Business Ethics, Springer, vol. 185(4), pages 713-723, July.
- Fernández Fernández, José Luis & Camacho Ibáñez, Javier & Díaz de la Cruz, Cristina & Gil, Bernardo Villazán, 2021. "How can ‘orare et laborare’ guide the person-technology relationship during the Fourth Industrial Revolution?," Technology in Society, Elsevier, vol. 67(C).
- Jake B. Telkamp & Marc H. Anderson, 2022. "The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 961-976, July.
- Maude Lavanchy & Patrick Reichert & Jayanth Narayanan & Krishna Savani, 2023. "Applicants’ Fairness Perceptions of Algorithm-Driven Hiring Procedures," Journal of Business Ethics, Springer, vol. 188(1), pages 125-150, November.
- Rizwan Raheem Ahmed & Munwar Hussain Pahi & Shahid Nadeem & Riaz Hussain Soomro & Vishnu Parmar & Fouzia Nasir & Faiz Ahmed, 2023. "How and When Ethics Lead to Organizational Performance: Evidence from South Asian Firms," Sustainability, MDPI, vol. 15(10), pages 1-29, May.
- Serge P. da Motta Veiga & Maria Figueroa-Armijos & Brent B. Clark, 2023. "Seeming Ethical Makes You Attractive: Unraveling How Ethical Perceptions of AI in Hiring Impacts Organizational Innovativeness and Attractiveness," Journal of Business Ethics, Springer, vol. 186(1), pages 199-216, August.
- Waymond Rodgers & Tam Nguyen, 2022. "Advertising Benefits from Ethical Artificial Intelligence Algorithmic Purchase Decision Pathways," Journal of Business Ethics, Springer, vol. 178(4), pages 1043-1061, July.
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Keywords
Technology; Socio-technical systems; Science and technology studies; Privacy; Values in design; Social contract theory;All these keywords.
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