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

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  1. 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.
  2. Shivam Gupta & Shampy Kamboj & Surajit Bag, 2023. "Role of Risks in the Development of Responsible Artificial Intelligence in the Digital Healthcare Domain," Information Systems Frontiers, Springer, vol. 25(6), pages 2257-2274, December.
  3. Anton Klarin & Hossein Ali Abadi & Rifat Sharmelly, 2024. "Professionalism in artificial intelligence: The link between technology and ethics," Systems Research and Behavioral Science, Wiley Blackwell, vol. 41(4), pages 557-580, July.
  4. 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.
  5. 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.
  6. Siala, Haytham & Wang, Yichuan, 2022. "SHIFTing artificial intelligence to be responsible in healthcare: A systematic review," Social Science & Medicine, Elsevier, vol. 296(C).
  7. 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.
  8. 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.
  9. 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.
  10. 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).
  11. 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).
  12. 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.
  13. 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).
  14. 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.
  15. 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).
  16. 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).
  17. 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.
  18. 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.
  19. Vuong, Quan-Hoang, 2018. "From Economic Complexities to Computational Entrepreneurship," OSF Preprints kqbmg, Center for Open Science.
  20. 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).
  21. 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.
  22. Nazareno, Luísa & Schiff, Daniel S., 2021. "The impact of automation and artificial intelligence on worker well-being," Technology in Society, Elsevier, vol. 67(C).
  23. Ranu Singh & Vinod Kumar Mishra, 2024. "Inventory model using Machine Learning for demand forecast with imperfect deteriorating products and partial backlogging under carbon emissions," Annals of Operations Research, Springer, vol. 335(1), pages 361-383, April.
  24. Araz Zirar, 2023. "Can artificial intelligence’s limitations drive innovative work behaviour?," Review of Managerial Science, Springer, vol. 17(6), pages 2005-2034, August.
  25. Lee, In & Shin, Yong Jae, 2020. "Machine learning for enterprises: Applications, algorithm selection, and challenges," Business Horizons, Elsevier, vol. 63(2), pages 157-170.
  26. 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.
  27. 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.
  28. 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).
  29. 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.
  30. 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.
  31. 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.
  32. 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.
  33. Zhang, Zhenhua & Zhang, Yunpeng & Wu, Huangbin & Song, Shunfeng & Pan, Yuxi & Feng, Yanchao, 2024. "Dual effects of automation on economy and environment: Evidence from A-share listed enterprises in China," China Economic Review, Elsevier, vol. 88(C).
  34. 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.
  35. 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).
  36. 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.
  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. 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.
  39. Wernaart, Bart, 2021. "Developing a roadmap for the moral programming of smart technology," Technology in Society, Elsevier, vol. 64(C).
  40. 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.
  41. 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.
  42. 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.
  43. Richa Sharma, 2022. "Corporate Social Responsibility and Customer Satisfaction: Role of Artificial Intelligence," Acta Universitatis Bohemiae Meridionalis, University of South Bohemia in Ceske Budejovice, Faculty of Economics, vol. 25(2), pages 162-174.
  44. 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.
  45. 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.
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