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Article

Organizational Structure and Artificial Intelligence. Modeling the Intraorganizational Response to the AI Contingency

1
Eurokleis srl, 00136 Roma, Italy
2
Department of Economics and Law, University of Cassino, 03043 Cassino, Italy
3
Department of Management, Sapienza University of Rome, 00161 Roma, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: Eduardo Álvarez-Miranda
J. Theor. Appl. Electron. Commer. Res. 2021, 16(6), 2341-2364; https://doi.org/10.3390/jtaer16060129
Received: 5 August 2021 / Revised: 30 August 2021 / Accepted: 7 September 2021 / Published: 13 September 2021
(This article belongs to the Special Issue Digital Resilience and Economic Intelligence in the Post-Pandemic Era)
Different and profound are the consequences of the further development of artificial intelligence (AI) on society. One of the manifestations of the upcoming changes is the plethora of novel ways in which companies may organize labor and capital. So far, the influence of AI on organizational structure has been mainly studied from either a technological or a broader decision-making perspective. Our paper provides a unique take on the topic, emphasizing the distinctive role of human agency and its function in the upcoming AI-driven organizational changes. Relying on the existing academic literature, we theorized a set of hypotheses concerning best fits to the AI contingency on both macro and meso-organizational levels. To test whether the hypothesized changes might encounter organizational inertia or resistance from jobholders, multiple correspondence analysis (MCA) was applied to the online survey results. Four types of current and potential jobholders were distinguished according to their explicit attitudes towards hypothesized organizational changes: skeptics, doubtful skeptics, optimists, and doubtful optimists, the latter consisting primarily of emerging adults. Finally, we developed a model of intraorganizational response to the AI contingency based on four theoretical groups of individuals, as determined by the analysis. Our findings showed doubtful optimists to be the most important group, able to set organizational trends and positively influence skeptics and doubtful skeptics. Accordingly, promoters of AI-driven organizational changes are advised to design their communication efforts around emerging adults. As the survey was conducted amid the COVID-19 pandemic, its sociological and managerial implications are relevant to the looming reality of the postpandemic world. View Full-Text
Keywords: artificial intelligence; contingency theories; organizational structure; explicit attitudes; cultural intermediaries; organizational change artificial intelligence; contingency theories; organizational structure; explicit attitudes; cultural intermediaries; organizational change
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MDPI and ACS Style

Rudko, I.; Bashirpour Bonab, A.; Bellini, F. Organizational Structure and Artificial Intelligence. Modeling the Intraorganizational Response to the AI Contingency. J. Theor. Appl. Electron. Commer. Res. 2021, 16, 2341-2364. https://doi.org/10.3390/jtaer16060129

AMA Style

Rudko I, Bashirpour Bonab A, Bellini F. Organizational Structure and Artificial Intelligence. Modeling the Intraorganizational Response to the AI Contingency. Journal of Theoretical and Applied Electronic Commerce Research. 2021; 16(6):2341-2364. https://doi.org/10.3390/jtaer16060129

Chicago/Turabian Style

Rudko, Ihor, Aysan Bashirpour Bonab, and Francesco Bellini. 2021. "Organizational Structure and Artificial Intelligence. Modeling the Intraorganizational Response to the AI Contingency" Journal of Theoretical and Applied Electronic Commerce Research 16, no. 6: 2341-2364. https://doi.org/10.3390/jtaer16060129

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