Abstract
Technology evolves together with humans. Across industrial revolutions, its role has evolved from that of a simple tool used by humans to that of intelligent decision-maker and teammate. In the post-digital era where ongoing advances in artificial intelligence are widely visible, the question arises regarding the extent to which technology will be “upgraded” into roles previously filled by human supervisors, thereby replacing persons in managerial positions. This text aims to delineate how the organizational role of technology has been transformed across decades and the forms that it currently takes within companies, with an eye to the future. We draw on posthuman managerial literature and known cases of organizations where some forms of supervisory artificial intelligence are already used. The text is conceptual-reflective by nature; it seeks to initiate a discussion on the many challenges that humanity will face in connection with the deployment of empowered posthuman agents in companies.
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References
- Adomavicius, G., Bockstedt, J.C., Gupta, A., Kauffman, R.J. (2007). Technology roles and paths of influence in an ecosystem model of technology evolution. Inf Technol Manag 8, 185–202.Berglund, T. (2005). Toward a theory of entrepreneurial action. Gothenburg, Sweden: Chalmers University of Technology. DOI: https://doi.org/10.1007/s10799-007-0012-z
- Ashrafian, H. (2015). Artificial intelligence and robot responsibilities: Innovating beyond rights. Science and engineering ethics, 21(2), 317-326. DOI: https://doi.org/10.1007/s11948-014-9541-0
- Benamati, J., Lederer, A.L. (2001). How IT organizations handle rapid IT change: Five coping mechanisms, Inf Technol Manag 2, 95-112. https://doi.org/10.1023/a:1009986821907 DOI: https://doi.org/10.1023/A:1009986821907
- Berger, C.R., & Calabrese R.J. (1975). Some explorations in initial interaction and beyond: Toward a developmental theory of interpersonal communication. Human Communication Research, 1, 99-112. https://doi.org/10.1111/j.1468-2958.1975.tb00258.x DOI: https://doi.org/10.1111/j.1468-2958.1975.tb00258.x
- Bottani, E., Centobelli, P., Gallo, M., Kaviani, M.A., Jain, V., Murino, T. (2019). Modelling wholesale distribution operations: an artificial intelligence framework. Industrial Management & Data Systems, 119(4), 698-718. DOI: https://doi.org/10.1108/IMDS-04-2018-0164
- Brennen, J.S., Kreiss, D. (2016). Digitalization. The international encyclopedia of communication theory and philosophy,1-11. DOI: https://doi.org/10.1002/9781118766804.wbiect111
- Čapek, K. (1921/2004). R.U.R. (Rossum’s Universal Robots). Translated by Claudia Novack-Jones. Penguin Classics, London
- Captain, S. (2017). This AI factory boss tells robots and humans how to work together. Fast Company. https://www.fastcompany.com/3067414/robo-foremen-could-direct-human-and-robot-factory-workers alike#:~:text=Now%20researchers%20at%20German%20industrial,the%20humans%20working%20alongside%20them. Accessed 17 July 2020
- Carrera, F. (2020). Race and gender of aesthetics and affections: algorithmization of racism and sexism in contemporary digital image databases. Matrizes, 14(2), 217-240. DOI: https://doi.org/10.11606/issn.1982-8160.v14i2p217-240
- Castelo, N., Bos, M.W., & Lehmann, D.R. (2019). Task-dependent algorithm aversion. Journal of Marketing Research, 1-17. https://doi.org/10.1177/0022243719851788 DOI: https://doi.org/10.1177/0022243719851788
- Chamorro-Premuzic, T., Ahmetoglu, G. (2016). The pros and cons of robot managers. Harvard Business Review, 2016(12).
- Daugherty, P.R., Wilson, H.J. (2018). Human + machine: Reimagining work in the age of AI. Harvard Business Press, Boston.
- Desmet, P.M.A., & Pohlmeyer, A.E. (2013). Positive design: An introduction to design for subjective well-being. International Journal of Design, 7, 5–19. https://repository.tudelft.nl/islandora/object/uuid%3A06ec60ac- 0363- 43ea- 9ccd- 8426ef0d6b64
- De Stefano, V. (2020a). Algorithmic bosses and what to do about them: automation, artificial intelligence and labour protection. In: Economic and policy implications of artificial intelligence. Springer, Cham, pp. 65-86. DOI: https://doi.org/10.1007/978-3-030-45340-4_7
- De Stefano, V. (2020b). Negotiating Governance and Control Over AI-Bosses at Work – Position Paper Presented at OECD Network of Experts on Artificial Intelligence (One AI). DOI: https://doi.org/10.2139/ssrn.3542831
- Dietvorst, B.J., Simmons, J.P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114–126. https://doi.org/10.1037/xge0000033. DOI: https://doi.org/10.1037/xge0000033
- Dong, M., Gamez-Djokic, M., Jago, A.S., Schlund, R., Ward, S. (2022). Building a Better World Together: Understanding the Future of Work with Algorithms, AI, & Automation. Academy of Management Proceedings 2022(1), 16479. DOI: https://doi.org/10.5465/AMBPP.2022.16479symposium
- Fairchild, A.M. (2006). Decision management: Role and effect of using an intelligent intermediary to aid in information sharing. Inf Technol Manag 7, 249–258. DOI: https://doi.org/10.1007/s10799-006-0275-9
- Farrow, E. (2020). Organisational artificial intelligence future scenarios: Futurists insights and implications for the organisational adaptation approach, leader and team. J Futures Stud 24, 1-15.
- Feldman, R.C. (2019). Technology law: Artificial intelligence: Trust and distrust. The Judges' Book. https://repository.uchastings.edu/cgi/viewcontent.cgi?article=1049&context=judgesbook. Accessed 23 September 2020
- Fiske, A. P. (1992). Social errors in four cultures: Evidence about universal forms of social relations. Journal of Cross-Cultural Psychology, 24, 463-494. https://doi.org/10.1177/0022022193244006 DOI: https://doi.org/10.1177/0022022193244006
- Flak, O. (2019). System of organizational terms as a methodological concept in replacing human managers with robots. In: Arai K, Bhatia R (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 70. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-12385-7_36
- Gladden, M.E. (2021). Optimum. Idea cyberpsychologii pozytywnej / Optimum. The idea of positive cyberpsychology. Warszawa: Wydawnictwo Naukowe PWN.
- Gladden, M.E. (2014a). Managerial robotics: A model of sociality and autonomy for robots managing human beings and machines, Int J Contemp Manag http://ejournals.eu/sj/index.php/IJCM/article/view/4390/4323 Accessed 23 September 2020
- Gladden, M.E. (2014b). The social robot as ‘charismatic leader’: A phenomenology of human submission to nonhuman power. In: Seibt J, Hakli R, Nørskov M (eds) Sociable robots and the future of social relations: Proceedings of Robo-philosophy 2014. IOS Press Ebooks, 329-339
- Gladden, M.E. (2017). Strategic management instruments for cyber-physical organizations: Technological posthumanization as a driver of strategic innovation.” Int J Contemp Manag 16, 139-155. DOI: https://doi.org/10.4467/24498939IJCM.17.026.7546
- Gladden, M.E. (2018a). Enterprise meta-architecture for megacorps of unmanageably great size, speed, and technological complexity. In: Wilimowska Z, Borzemski L, Świątek J (eds) Information Systems Architecture and Technology: Proceedings of 39th International Conference on Information Systems Architecture and Technology – ISAT 2018, Part III. Springer International Publishing, Cham, pp 245-259. DOI: https://doi.org/10.1007/978-3-319-99993-7_22
- Gladden, M.E. (2018b). A phenomenological analysis of the posthumanized future workplace. Kwartalnik Nauk o Przedsiębiorstwie 48, 31-39. DOI: https://doi.org/10.5604/01.3001.0012.7776
- Gladden, M.E. (2019b). Who will be the members of society 5.0? Towards an anthropology of technologically posthumanized future societies. Soc Sci 8, 148. DOI: https://doi.org/10.3390/socsci8050148
- Gray, J., Rumpe, B. (2015). Models for digitalization. Software & Systems Modeling, 14(4), 1319-1320. DOI: https://doi.org/10.1007/s10270-015-0494-9
- Groome, C. (2014). Deep knowledge ventures appoints intelligent investment analysis software VITAL as board member. PRWeb. http://www.prweb.com/releases/2014/05/prweb11847458.htm. Accessed 17 July 2020
- Hinds P.J., Roberts T.L., & Jones H. (2004). Whose job is it anyway? A study of human-robot interaction in a collaborative task. Human Computer Interaction, 19, 151-181. https://doi.org/10.1080/07370024.2004.9667343 DOI: https://doi.org/10.1207/s15327051hci1901&2_7
- Höddinghaus, M., Sondern, D., & Hertel, G. (2020). The automation of leadership functions: Would people trust decision algorithms? Comput Hum Behav https://doi.org/10.1016/j.chb.2020.106635 DOI: https://doi.org/10.1016/j.chb.2020.106635
- Hodson, H. (2014). The AI boss that deploys Hong Kong’s subway engineers. New Scientist. https://www.newscientist.com/article/mg22329764-000-the-ai-boss-that-deploys-hong-kongs-subway-engineers. Accessed 7 July 2020
- Hou, Y.T.Y., Jung, M. (2018). Robots in power. Proceedings of Longitudinal Human-Robot Teaming Workshop at HRI18.
- Hubner, S., Benz, T,, Peus. C. (2019). Chancen und Herausforderungen beim Einsatz von Robotern in Führungsrollen. PERSONALquarterly 03, 28-34. https://riglab.infosci.cornell.edu/assets/papers/power.pdf. Accessed 7 July 2020
- Hüllmann, J.A. (2022). Reconciling the Debate on People Analytics in Academia and Practice. In: 35th Bled eConference: Digital Restructuring and Human (Re) action. DOI: https://doi.org/10.18690/um.fov.4.2022.34
- Jurek, P., Korjonen‐Kuusipuro, K., & Olech, M. (2021). When technology use causes stress: Challenges for contemporary research. Human Technology, 17(3), 190–196. https://doi.org/10.14254/1795-6889.2021.17-3.1 DOI: https://doi.org/10.14254/1795-6889.2021.17-3.1
- Kagermann, H. (2015). Change through digitization – Value creation in the age of Industry 4.0. In: Management of permanent change. Springer Gabler, Wiesbaden, pp. 23-45. DOI: https://doi.org/10.1007/978-3-658-05014-6_2
- Kedziora, D., & Kiviranta, H-M. (2018). Digital Business Value Creation with Robotic Process Automation (rpa) in Northern and Central Europe, Management, University of Primorska, Faculty of Management Koper, 13(2), 161-174. DOI: https://doi.org/10.26493/1854-4231.13.161-174
- Kedziora, D., Leivonen, A., Piotrowicz, W., & Öörni, A. (2021). Robotic Process Automation (RPA) Implementation Drivers: Evidence of Selected Nordic Companies, Issues in Information Systems, 22(2), 21-40 . https://doi.org/10.48009/2_iis_2021_21-40 DOI: https://doi.org/10.48009/2_iis_2021_21-40
- Kedziora, D., & Penttinen, E. (2020). Governance models for robotic process automation: The case of Nordea Bank, Journal of Information Technology Teaching Cases, 204388692093702, doi:10.1177/2043886920937022. DOI: https://doi.org/10.1177/2043886920937022
- Kruse, K. (2019). 30% of Workers Would Replace Their Boss With a Robot. Forbes. September 18. https://www.forbes.com/sites/kevinkruse/2019/09/18/30-of-workers-would-replace-their-boss-with-a-robot/#7977fc167eeb. Accessed 18 July 2020
- Lecher, C. (2019). How Amazon automatically tracks and fires warehouse workers for ‘productivity’: Documents show how the company tracks and terminates workers. The Verge, April 25, 2019. https://www.theverge.com/2019/4/25/18516004/amazon-warehouse-fulfillment-centers-productivity-firing-terminations. Accessed 19 October 2020
- Leonardi, P.M., & Treem, J.W. (2020). Behavioral visibility: A new paradigm for organization studies in the age of digitization, digitalization, and datafication. Organization Studies, 41(12), 1601-1625. DOI: https://doi.org/10.1177/0170840620970728
- Lundgren, C. (2013). What are the odds? Nonproliferation Rev 20, 361–374. DOI: https://doi.org/10.1080/10736700.2013.799828
- Mays, K.K., Lei, Y., Giovanetti, R., & Katz, J.E. (2021). AI as a boss? A national US survey of predispositions governing comfort with expanded AI roles in society. AI & SOCIETY, 1-14. DOI: https://doi.org/10.1007/s00146-021-01253-6
- McKenna, P.E., Lim, M.Y., Ghosh, A., Aylett, R., Broz, F., & Rajendran, G. (2017). Do you think I approve of that? Designing facial expressions for a robot. In: International Conference on Social Robotics. Springer, Cham, 188-197 DOI: https://doi.org/10.1007/978-3-319-70022-9_19
- Meena, M., Shubham, S., Paritosh, K., Pareek, N., & Vivekanand, V. (2021). Production of biofuels from biomass: Predicting the energy employing artificial intelligence modelling. Bioresource Technology, 340, 125642. DOI: https://doi.org/10.1016/j.biortech.2021.125642
- Mélypataki, G. (2019). Effects of Artificial Intelligence on Labour Law and Labour Market: can AI be a boss?. European Integration Studies: A Publication of The University Of Miskolc, 15(1), 64-74.
- Mesmer-Magnus, J.R., DeChurch, L.A. (2009). Information Sharing and Team Performance: A meta-analysis. Journal of Applied Psychology, 94, 535-546. https://doi.org/10.1037/a0013773 DOI: https://doi.org/10.1037/a0013773
- Nikkei Asian Review. (2016). What it might be like to have an artificially intelligent boss https://asia.nikkei.com/Tech-Science/Tech/What-it-might-be-like-to-have-an-artificially-intelligent-boss. Accessed 30 May 2020
- Oracle. (2019a). From fear to enthusiasm: Artificial intelligence is winning more hearts and minds in the workplace. https://www.oracle.com/webfolder/s/assets/ebook/ai-work/index.html. Accessed 19 July 19 2020
- Oracle. (2019b). New study: 64% of people trust a robot more than their manager. Press release. https://www.oracle.com/corporate/pressrelease/robots-at-work-101519.html. Accessed 19 July 2020
- Ören, T.I., & Zeigler, B.P. (1987). Artificial intelligence in modelling and simulation: Directions to explore. Simulation, 48(4), 131-134. DOI: https://doi.org/10.1177/003754978704800403
- Pandiyan, V., Shevchik, S., Wasmer, K., Castagne, S., & Tjahjowidodo, T. (2020). Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review. Journal of Manufacturing Processes, 57, 114-135. DOI: https://doi.org/10.1016/j.jmapro.2020.06.013
- Peters, D., Calvo, R.A., & Ryan, R.M. (2018). Designing for motivation, engagement and wellbeing in digital experience. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2018.00797 DOI: https://doi.org/10.3389/fpsyg.2018.00797
- Popay, J., et al. (2006). Guidance on the conduct of narrative synthesis in systematic reviews [online]. Version 1: April 2006, ESRC Methods Programme. Available from: http://www.google.co.uk/url?sa=t&rct=j&q=&esrc=s&source=web&cd=6&ved=0CF4Q FjAF&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.178.3100%26rep%3Drep1%26type%3Dpdf&ei=3QMQUIqxK-GK0AXfgoGoBA&usg= AFQjCNGrW1dB7FBraR9t3ITS0FjiWqqg-A [Accessed 25 July 2012].
- Rajan, K., & Saffiotti, A. (2017). Towards a science of integrated AI and robotics. Artif Intell 247, 1-9. DOI: https://doi.org/10.1016/j.artint.2017.03.003
- Raven, B.H. (1992). A power/interaction model of interpersonal influence: French and Raven thirty years later, Soc Behav Pers 7, 217–244.
- Rees, J., & Koehler, G. (2002). Evolution in groups: A genetic algorithm approach to group decision support systems. Inf Technol Manag 3, 213–227. DOI: https://doi.org/10.1023/A:1015566711710
- Raišienė, A. G., Rapuano, V., Dőry, T., & Varkulevičiūtė, K. (2021). Does telework work? Gauging challenges of telecommuting to adapt to a “new normal”. Human Technology, 17(2), 126–144. https://doi.org/10.14254/1795-6889.2021.17-2.3
- Riva, G. (2012). What is positive technology and its impact on CyberPsychology. Studies in Health Technology and Informatics 181, 37–41.
- Saghiri, A.M., Vahidipour, S.M., Jabbarpour, M.R., Sookhak, M., & Forestiero, A. (2022). A Survey of Artificial Intelligence Challenges: Analyzing the Definitions, Relationships, and Evolutions. Applied Sciences, 12(8), 4054. DOI: https://doi.org/10.3390/app12084054
- Sahota, N., & Ashley, M. (2019). When robots replace human managers: Introducing the quantifiable workplace. IEEE Eng Manag Rev 47, 21-23. https://doi.org/10.1109/EMR.2019.2931654 DOI: https://doi.org/10.1109/EMR.2019.2931654
- Sander, T. (2011). Positive computing. In: R. Biswas-Diener (ed.), Positive psychology as social change, London: Springer. DOI: https://doi.org/10.1007/978-90-481-9938-9_17
- Santoni de Sio, F., & Mecacci, G. (2021). Four responsibility gaps with artificial intelligence: Why they matter and how to address them. Philosophy & Technology 34, 1057-1084. DOI: https://doi.org/10.1007/s13347-021-00450-x
- Savranskaya, S.V. (2005). New sources on the role of soviet submarines in the Cuban missile crisis. J Strateg Stud 28, 233–259. DOI: https://doi.org/10.1080/01402390500088312
- Schweyer, A. (2018). Predictive analytics and artificial intelligence in people management. https://theirf.org/am-site/themes/IRF/download.php?file=https%3A%2F%2Ftheirf.org%2Fam-site%2Fmedia%2F2018-ai-study---white-paper---pdf-updated.pdf. Accessed 19 July 2020
- Smiddy, H.F. (1959). Research – and Shaping the Future of Management, In: Academy of Management Proceedings. Academy of Management, Briarcliff Manor, 23-40. DOI: https://doi.org/10.5465/ambpp.1959.5068214
- Snow, C.C., Fjeldstad, Ø.D., & Langer, A.M. (2017). Designing the digital organization. J Org Design 6, 7. DOI: https://doi.org/10.1186/s41469-017-0017-y
- Venkatesh V, Morris MG, & Davis GB (2003) User acceptance of information technology: Toward a unified view. MIS Q, 27, 425-478. https://doi.org/10.2307/30036540 DOI: https://doi.org/10.2307/30036540
- Xiao, Y., & Watson, M. (2017). Guidance on Conducting a Systematic Literature Review. Journal of Planning Education and Research, 0739456X1772397.
- Yanco, H.A., & Drury, J. (2004). Classifying human-robot interaction: An updated taxonomy. 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), The Hague, pp 2841-2846. DOI: https://doi.org/10.1109/ICSMC.2004.1400763
- Yeng, P.K., Nweke, L.O., Woldaregay, A.Z., Yang, B., & Snekkenes, E.A. (2020). Data-driven and artificial intelligence (AI) approach for modelling and analyzing healthcare security practice: a systematic review. In: Proceedings of SAI Intelligent Systems Conference. Springer, Cham, pp. 1-18. DOI: https://doi.org/10.1007/978-3-030-55180-3_1