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The rising tide of artificial intelligence and business automation: Developing an ethical framework

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  1. 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.
  2. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
  3. Mohammad Rashed Hasan Polas & Valliappan Raju, 2021. "Technology and Entrepreneurial Marketing Decisions During COVID-19," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 95-112, June.
  4. Margherita, Emanuele Gabriel & Braccini, Alessio Maria, 2021. "Managing industry 4.0 automation for fair ethical business development: A single case study," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
  5. Shivam Gupta & Sachin Modgil & Samadrita Bhattacharyya & Indranil Bose, 2022. "Artificial intelligence for decision support systems in the field of operations research: review and future scope of research," Annals of Operations Research, Springer, vol. 308(1), pages 215-274, January.
  6. Bosse, Douglas & Thompson, Steven & Ekman, Peter, 2023. "In consilium apparatus: Artificial intelligence, stakeholder reciprocity, and firm performance," Journal of Business Research, Elsevier, vol. 155(PA).
  7. Veronica Rojas-Mendizabal & Cristián Castillo-Olea & Alexandra Gómez-Siono & Clemente Zuñiga, 2021. "Assessment of Thoracic Pain Using Machine Learning: A Case Study from Baja California, Mexico," IJERPH, MDPI, vol. 18(4), pages 1-12, February.
  8. Vuong, Quan-Hoang, 2018. "From Economic Complexities to Computational Entrepreneurship," OSF Preprints kqbmg, Center for Open Science.
  9. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
  10. Hartley, Janet L. & Sawaya, William J., 2019. "Tortoise, not the hare: Digital transformation of supply chain business processes," Business Horizons, Elsevier, vol. 62(6), pages 707-715.
  11. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
  12. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.
  13. Olan, Femi & Ogiemwonyi Arakpogun, Emmanuel & Suklan, Jana & Nakpodia, Franklin & Damij, Nadja & Jayawickrama, Uchitha, 2022. "Artificial intelligence and knowledge sharing: Contributing factors to organizational performance," Journal of Business Research, Elsevier, vol. 145(C), pages 605-615.
  14. 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.
  15. Kinkel, Steffen & Capestro, Mauro & Di Maria, Eleonora & Bettiol, Marco, 2023. "Artificial intelligence and relocation of production activities: An empirical cross-national study," International Journal of Production Economics, Elsevier, vol. 261(C).
  16. Martin R. W. Hiebl & David I. Pielsticker, 2023. "Automation, organizational ambidexterity and the stability of employee relations: new tensions arising between corporate entrepreneurship, innovation management and stakeholder management," The Journal of Technology Transfer, Springer, vol. 48(6), pages 1978-2006, December.
  17. Emanuele Gabriel Margherita & Alessio Maria Braccini, 2023. "Industry 4.0 Technologies in Flexible Manufacturing for Sustainable Organizational Value: Reflections from a Multiple Case Study of Italian Manufacturers," Information Systems Frontiers, Springer, vol. 25(3), pages 995-1016, June.
  18. Wernaart, Bart, 2021. "Developing a roadmap for the moral programming of smart technology," Technology in Society, Elsevier, vol. 64(C).
  19. Cociorva Alexandru & Onofrei Nicoleta & Vîlcea Alexandru-Lucian, 2023. "Tool Integrations for Monitoring Solutions and Associated Performance Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1929-1943, July.
  20. Carmen Isensee & Kai-Michael Griese & Frank Teuteberg, 2021. "Sustainable artificial intelligence: A corporate culture perspective [Sustainable artificial intelligence: Eine unternehmenskulturelle Perspektive]," Sustainability Nexus Forum, Springer, vol. 29(3), pages 217-230, December.
  21. Turlough Guerin, 2022. "Questions that board directors should be asking about emerging governance issues and risk: a practitioner’s view and implications for the extractive industries," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 35(2), pages 221-237, June.
  22. Siala, Haytham & Wang, Yichuan, 2022. "SHIFTing artificial intelligence to be responsible in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 296(C).
  23. Anna Trunk & Hendrik Birkel & Evi Hartmann, 2020. "On the current state of combining human and artificial intelligence for strategic organizational decision making," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 875-919, November.
  24. Alhouti, Sarah & Wright, Scott A. & Baker, Thomas L., 2021. "Customers need to relate: The conditional warm glow effect of CSR on negative customer experiences," Journal of Business Research, Elsevier, vol. 124(C), pages 240-253.
  25. Zirar, Araz & Ali, Syed Imran & Islam, Nazrul, 2023. "Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda," Technovation, Elsevier, vol. 124(C).
  26. Uzir, Md Uzir Hossain & Al Halbusi, Hussam & Lim, Rodney & Jerin, Ishraq & Abdul Hamid, Abu Bakar & Ramayah, Thurasamy & Haque, Ahasanul, 2021. "Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19," Technology in Society, Elsevier, vol. 67(C).
  27. Jurgita Bruneckiene & Robertas Jucevicius & Ineta Zykiene & Jonas Rapsikevicius & Mantas Lukauskas, 2019. "Assessment of Investment Attractiveness in European Countries by Artificial Neural Networks: What Competences are Needed to Make a Decision on Collective Well-Being?," Sustainability, MDPI, vol. 11(24), pages 1-23, December.
  28. Bonsón, Enrique & Lavorato, Domenica & Lamboglia, Rita & Mancini, Daniela, 2021. "Artificial intelligence activities and ethical approaches in leading listed companies in the European Union," International Journal of Accounting Information Systems, Elsevier, vol. 43(C).
  29. Véra‐Line Montreuil & Roland Foucher, 2023. "Technological changes in the era of digitalization: What do collective agreements tell us?," Industrial Relations Journal, Wiley Blackwell, vol. 54(1), pages 20-39, January.
  30. Nazareno, Luísa & Schiff, Daniel S., 2021. "The impact of automation and artificial intelligence on worker well-being," Technology in Society, Elsevier, vol. 67(C).
  31. Lee, In & Shin, Yong Jae, 2020. "Machine learning for enterprises: Applications, algorithm selection, and challenges," Business Horizons, Elsevier, vol. 63(2), pages 157-170.
  32. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
  33. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
  34. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
  35. Zsófia Tóth & Robert Caruana & Thorsten Gruber & Claudia Loebbecke, 2022. "The Dawn of the AI Robots: Towards a New Framework of AI Robot Accountability," Journal of Business Ethics, Springer, vol. 178(4), pages 895-916, July.
  36. Reis, Carolina & Ruivo, Pedro & Oliveira, Tiago & Faroleiro, Paulo, 2020. "Assessing the drivers of machine learning business value," Journal of Business Research, Elsevier, vol. 117(C), pages 232-243.
  37. Sarah Bankins & Paul Formosa, 2023. "The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work," Journal of Business Ethics, Springer, vol. 185(4), pages 725-740, July.
  38. Aleksandra Kuzior & Mariya Sira & Paulina Brożek, 2023. "Use of Artificial Intelligence in Terms of Open Innovation Process and Management," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
  39. Feng, Cai (Mitsu) & Botha, Elsamari & Pitt, Leyland, 2024. "From HAL to GenAI: Optimizing chatbot impacts with CARE," Business Horizons, Elsevier, vol. 67(5), pages 537-548.
  40. Emanuele Gabriel Margherita & Alessio Maria Braccini, 2021. "Industry 4.0 Technologies in Flexible Manufacturing for Sustainable Organizational Value: Reflections from a Multiple Case Study of Italian Manufacturers," Post-Print hal-03442440, HAL.
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