THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ORGANIZATIONAL CULTURE: A PATHWAY TO DIGITAL TRANSFORMATION
DOI:
https://doi.org/10.29121/shodhkosh.v5.i1.2024.5007Keywords:
Artificial Intelligence, Organizational Culture, Digital Transformation, Managerial Perceptions, Quantitative Research, Innovation, Strategic AlignmentAbstract [English]
In the rapidly evolving business landscape, Artificial Intelligence (AI) has emerged as a pivotal driver of digital transformation, fundamentally reshaping organizational culture. This study explores the multifaceted impact of AI on organizational culture and assesses managers' perceptions of AI-facilitated digital transformation. Employing a quantitative research design, data were collected from 244 managers across various industries, including the IT sector, where AI has significantly influenced operational and strategic practices. The research tested two primary hypotheses: H1, which posits that AI has a significant impact on organizational culture, and H2, which asserts that managers hold a positive perception of digital transformation through AI. Utilizing one-sample t-tests, the findings robustly supported both hypotheses. The results indicate that AI integration has substantially altered communication, collaboration, core values, decision-making processes, and fostered a culture of innovation and continuous improvement within organizations. Additionally, managers overwhelmingly perceive AI as a critical enabler of digital transformation, enhancing overall performance, driving sustainable growth, improving customer satisfaction, and aligning with strategic objectives. These outcomes underscore the essential role of managerial support and strategic alignment in successfully leveraging AI for cultural and digital advancements. The study contributes to the existing literature by providing empirical evidence on the interconnectedness of AI, organizational culture, and digital transformation, while highlighting the need for further research into sector-specific impacts and longitudinal effects. Practical implications suggest that organizations should cultivate supportive environments and align AI initiatives with cultural and strategic goals to maximize the benefits of digital transformation.
References
AlNuaimi, B. K., Singh, S. K., Ren, S., Budhwar, P., & Vorobyev, D. (2022). Mastering digital transformation: The nexus between leadership, agility, and digital strategy. Journal of Business Research, 145, 636–648. DOI: https://doi.org/10.1016/j.jbusres.2022.03.038
Borges, A. F., Laurindo, F. J., Spínola, M. M., Gonçalves, R. F., & Mattos, C. A. (2021). The strategic use of artificial intelligence in the digital era: Systematic literature review and future research directions. International Journal of Information Management, 57, 102225. DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102225
Brock, J. K. U., & Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), 110–134. DOI: https://doi.org/10.1177/1536504219865226
Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–314. DOI: https://doi.org/10.1016/j.jbusres.2020.08.019
Dubey, R., Gunasekaran, A., Childe, S. J., Bryde, D. J., Giannakis, M., Foropon, C., ... & Hazen, B. T. (2020). Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations. International Journal of Production Economics, 226, 107599. DOI: https://doi.org/10.1016/j.ijpe.2019.107599
Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information Systems Frontiers, 24(5), 1709–1734. DOI: https://doi.org/10.1007/s10796-021-10186-w
Isensee, C., Teuteberg, F., Griese, K. M., & Topi, C. (2020). The relationship between organizational culture, sustainability, and digitalization in SMEs: A systematic review. Journal of Cleaner Production, 275, 122944. DOI: https://doi.org/10.1016/j.jclepro.2020.122944
Ivaldi, S., Scaratti, G., & Fregnan, E. (2022). Dwelling within the fourth industrial revolution: Organizational learning for new competences, processes and work cultures. Journal of Workplace Learning, 34(1), 1–26. DOI: https://doi.org/10.1108/JWL-07-2020-0127
Li, J. J., Bonn, M. A., & Ye, B. H. (2019). Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Tourism Management, 73, 172–181. DOI: https://doi.org/10.1016/j.tourman.2019.02.006
Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. DOI: https://doi.org/10.1016/j.lrp.2018.12.001
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Copyright (c) 2024 Dr. Priyanka Pawar, Aditee Huparikar Shah

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