The Impact of Artificial Intelligence on the Transformation of Organizations: Effects on Innovation, Knowledge Transfer and Global Competitiveness

Andrés, B., Fernandez-Garcia, D., Urze, P., & Araújo, E. R. (2024). Artificial Intelligence Use in Collaborative Network Processes. https://doi.org/10.21203/rs.3.rs-4106721/v1Search in Google Scholar

Anjorin, K. F., Raji, M. A., Olodo, H. B., & Oyeyemi, O. P. (2024). Harnessing artificial intelligence to develop strategic marketing goals. https://doi.org/10.51594/ijmer.v6i5.1127Search in Google Scholar

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.Search in Google Scholar

Bushuyev, S. D., & Ivko, A. (2024a). Construction of models and application of syncretic innovation project management in the era of artificial intelligence. Eastern-European Journal of Enterprise Technologies, 3(3 (129)), 44–54. https://doi.org/10.15587/1729-4061.2024.306436Search in Google Scholar

Bushuyev, S. D., & Ivko, A. (2024b). Syncretic management of innovative projects in the age of ai explosion. Vìsnik Odesʹkogo Nacìonalʹnogo Morsʹkogo Universitetu. https://doi.org/10.47049/2226-1893-2024-1-117-130Search in Google Scholar

Carmines, E. G., & Zeller, R. A. (1979). Reliability and Validity Assessment. Sage Publications, 17. https://doi.org/10.4135/9781412985642Search in Google Scholar

Cepeda, G., Roldán, J. L., Sabol, M. A., Hair, J., & Chong, A. Y. L. (2024). Emerging opportunities for information systems researchers to expand their PLS-SEM analytical toolbox. https://doi.org/10.1108/imds-08-2023-0580Search in Google Scholar

Cepeda-Carrion, G., Cegarra-Navarro, J. G., & Cillo, V. (2018). Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management. Journal of Knowledge Management, 23(1), 67–89. https://doi.org/10.1108/jkm-05-2018-0322 Search in Google Scholar

Chaudhari, H., & Mishra, S. (2024). Leveraging Artificial Intelligence for Enhanced Performance in Matrix Organizations: A Research Perspective. Indian Scientific Journal Of Research In Engineering And Management, 08(07), 1–10. https://doi.org/10.55041/ijsrem36332Search in Google Scholar

Cheng, H., Kan, C. W., Yeh, C. H., & Chang, Y. C. (2024). The Role of Innovation Intermediaries in Bridging the AI Talent Gap. Nanotechnology Perceptions, 20(S3). https://doi.org/10.62441/nano-ntp.v20is3.6Search in Google Scholar

Chernenko, I. M., & Земзюлина, В. Ю. (2024). Pls-sem multigroup analysis of industry 5.0 specific human capital performance in manufacturing companies. https://doi.org/10.7148/2024-0043Search in Google Scholar

Chin, W. W., & Marcoulides, G. A. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Lawrence Eribaum Associates Publisher.Search in Google Scholar

Chipriyanova, G., Chipriyanov, M., & Luchkov, K. (2024). Investigation and analysis of attitudes towards the implementation of artificial intelligence in internal business processes. Vide. Tehnoloģija. Resources, 2, 61–67. https://doi.org/10.17770/etr2024vol2.8032Search in Google Scholar

Chourasia, S., Dhama, A., & Bhardwaj, G. (2024). AI-Driven Organizational Culture Evolution: A Critical Review. https://doi.org/10.1109/ic3se62002.2024.10592949Search in Google Scholar

Cimino, A., Felicetti, A. M., Corvello, V., Ndou, V., & Longo, F. (2024). Generative artificial intelligence (AI) tools in innovation management: A study on the appropriation of ChatGPT by innovation managers. Management Decision. https://doi.org/10.1108/md-10-2023-1968Search in Google Scholar

Dam, H. K., Tran, T., Grundy, J., Ghose, A., & Kamei, Y. (2018). Towards effective AI-powered agile project management. In arXiv: Software Engineering. https://arxiv.org/pdf/1812.10578Search in Google Scholar

Dash, G., & Paul, J. (2021). CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technological Forecasting and Social Change, 173, 121092. https://doi.org/10.1016/j.techfore.2021.121092Search in Google Scholar

Emira, A. A. (2022). Applying Agile for AI projects. https://doi.org/10.1145/3531056.3542762Search in Google Scholar

Everett, M. R. (2003). Diffusion of Innovations (5th ed.). Free Press.Search in Google Scholar

Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3). https://doi.org/10.1177/002224378101800313Search in Google Scholar

Gabelaia, I., Bagočiūnaitė, R., & Navickienė, V. (2024). Exploring the Intersections of Artificial Intelligence, Organizational Behavior, and Communication Dynamics in the Modern Workplace. International Journal of Management, Knowledge and Learning. https://doi.org/10.53615/2232-5697.13.71-80Search in Google Scholar

Gama, F., & Magistretti, S. (2023). Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications. Journal of Product Innovation Management. https://doi.org/10.1111/jpim.12698Search in Google Scholar

Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2), 107–123. https://doi.org/10.1504/ijmda.2017.10008574Search in Google Scholar

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. The Journal of Marketing Theory and Practice, 19(2), 139–151. https://doi.org/10.2753/MTP1069-6679190202Search in Google Scholar

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8Search in Google Scholar

Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. https://doi.org/10.1108/IMR-09-2014-0304Search in Google Scholar

Karmakar, S. (2024). Adoption Intention of Employees Towards AI in Technology. Indian Scientific Journal Of Research In Engineering And Management, 08(04), 1–5. https://doi.org/10.55041/ijsrem32807Search in Google Scholar

Keicher, L., Ardilio, A., & Nawroth, G. (2022). Boosting Innovation by Artificial Intelligence (AI): Effects and Potentials of AI in the Process of Innovating. 1–11. https://doi.org/10.23919/PICMET53225.2022.9882591Search in Google Scholar

Kim, J. S., Yeo, J., & Jain, H. (2024). An Economic Framework for Creating AI-Augmented Solutions Across Countries Over Time. Information Systems Frontiers. https://doi.org/10.1007/s10796-024-10487-wSearch in Google Scholar

Kock, N. (2024). Will PLS have to become factor-based to survive and thrive? European Journal of Information Systems, 1–21. https://doi.org/10.1080/0960085x.2024.2360564Search in Google Scholar

Kocot, M. (2024). Agile behaviors of organizations in response to the development of artificial intelligence. Zeszyty naukowe wyższej szkoły humanitas. https://doi.org/10.5604/01.3001.0054.4978Search in Google Scholar

Kumar, S., & Mittal, S. (2024). Employee learning and skilling in AI embedded organizations – predictors and outcomes. Development and Learning in Organizations. https://doi.org/10.1108/dlo-11-2023-0249Search in Google Scholar

Kwasek, A., Kocot, M., Kocot, D., Maciaszczyk, M., & Rogozinska-Mitrut, J. (2024). The Role of Artificial Intelligence in Agile Organization Management. European Research Studies Journal. https://doi.org/10.35808/ersj/3374Search in Google Scholar

Lakshmi, Y. P. S., Donthu, S., Reddy, Y. M., Revathi, V., Shaik, B., & Sobti, R. (2024). Innovation Management Driven by AI: Approaches for Long-Term Competitive Advantage. https://doi.org/10.1109/ic3se62002.2024.10593480Search in Google Scholar

Liu, F. (2024). Research and Outlook on the Role of Artificial Intelligence in Enterprise Operations and Management. Journal of Education, Humanities and Social Sciences, 35, 681–687. https://doi.org/10.54097/x8a78124Search in Google Scholar

Lourens, M. E., Raman, R., Vanitha, P. S., Singh, R., Manoharan, G., & Tiwari, M. K. (2022). Agile Technology and Artificial Intelligent Systems in Business Development. 1602–1607. https://doi.org/10.1109/IC3I56241.2022.10073410Search in Google Scholar

Maestro, S., & Rana, P. (2024). Variables Impacting the AI Adoption in Organizations. International Journal of Science and Research Archive, 12(2), 1055–1060. https://doi.org/10.30574/ijsra.2024.12.2.1329Search in Google Scholar

Mandava, L. C. (2023). Transforming Organizational Development with AI: Navigating Change and Innovation for Success. International Journal of Engineering and Advanced Technology. https://doi.org/10.35940/ijeat.a4282.1013123Search in Google Scholar

Manifesto, A. (2001). Manifesto for agile software development.Search in Google Scholar

Mytrofanova, H., Євтушенко, О. Т., Hlukhyy, A., & Lugovyy, M. (2024). Methodological principles of implementing artificial intelligence into organizational management system. Akademìčnij Oglâd, 2(61), 173–189. https://doi.org/10.32342/2074-5354-2024-2-61-12Search in Google Scholar

Nadella, G. S., & Pillai, S. E. V. S. (2024). Examining the Indirect Impact of Information and System Quality on the Overall Educators’ Use of E- Learning Tools: A PLS-SEM Analysis (pp. 360–366). https://doi.org/10.1109/southeastcon52093.2024.10500283Search in Google Scholar

Nonaka, I., & Takeuchi, H. (1995). The Knowledge-Creating Company. How Japanese Companies Create the Dynamics of Innovation. Oxford University Press.Search in Google Scholar

Olutimehin, D. O., Ofodile, O. C., Ejibe, I., Odunaiya, O. G., & Soyombo, O. T. (2024). Implementing ai in business models: Strategies for efficiency and innovation. https://doi.org/10.51594/ijmer.v6i3.940Search in Google Scholar

Powell, W. W., Koput, K. W., & Smith-Doerr, L. (1996). Interorganizational collaboration and the locus of innovation: Networks of learning in biotechnology. Administrative Science Quarterly, 41(1), 116–145. https://doi.org/10.2307/2393988Search in Google Scholar

Purnomo, B. R. (2023). Artificial intelligence and innovation practices: A conceptual inquiry. https://doi.org/10.12928/fokus.v13i2.8847Search in Google Scholar

Sadriwala, M. F., Dadhich, M., Mathur, D., & Sharma, A. (2024). Analytics of AI-Driven B2B Marketing Excellence for Sustainable Firm Performance in the Digital Age: SEM Analysis. International Journal of Management and Development Studies, 13(5), 52–63. https://doi.org/10.53983/ijmds.v13n5.004Search in Google Scholar

Sahoo, S., Kumar, S., Donthu, N. R., & Singh, A. K. (2024). Artificial intelligence capabilities, open innovation, and business performance – Empirical insights from multinational B2B companies. Industrial Marketing Management. https://doi.org/10.1016/j.indmarman.2023.12.008Search in Google Scholar

Setiawan, J., & Hendayana, Y. (2024). Analysis of The Influence of Artificial Intelligence on Business Innovation (Literature Review Study). Dinasti International Journal of Digital Business Management, 5(4), 697–702. https://doi.org/10.38035/dijdbm.v5i4.2801Search in Google Scholar

Sherson, J. (2024). A Hybrid Intelligent Change Management Approach to Generative AI Adoption. Frontiers in Artificial Intelligence and Applications. https://doi.org/10.3233/faia240228Search in Google Scholar

Singh, K., Chatterjee, S., & Mariani, M. M. (2024). Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamism. Technovation. https://doi.org/10.1016/j.technovation.2024.103021Search in Google Scholar

Tominc, P., Oreški, D., & Rožman, M. (2023). Artificial Intelligence and Agility-Based Model for Successful Project Implementation and Company Competitiveness. Information, 14(6), 337–337. https://doi.org/10.3390/info14060337Search in Google Scholar

Tursunbayeva, A., & Gal, H. C.-B. (2024). Adoption of artificial intelligence: A TOP framework-based checklist for digital leaders. Business Horizons. https://doi.org/10.1016/j.bushor.2024.04.006Search in Google Scholar

Visconti, R. M. (2024). Collaborative Natural and Artificial Intelligence: A Multilayer Network Interpretation. https://doi.org/10.20944/preprints202407.0777.v1Search in Google Scholar

Wu, L. (2023). Agile Design and AI Integration: Revolutionizing MVP Development for Superior Product Design. International Journal of Education and Humanities, 9(1), 226–230. https://doi.org/10.54097/ijeh.v9i1.9417Search in Google Scholar

Xu, H., Xu, R., Lin, H., & He, X. (2024). The Impact of Generative Artificial Intelligence on Organizational Innovation Performance: Roles of AI Generated Content Quality, AI Experience, and AI Usage Environment. 1802–1807. https://doi.org/10.1109/icetsis61505.2024.10459661Search in Google Scholar

Yaroğlu, A. C. (2024). The effects of artificial intelligence on organizational culture in the perspective of the hermeneutic cycle: The intersection of mental processes. Systems Research and Behavioral Science. https://doi.org/10.1002/sres.3037Search in Google Scholar

Zhang, C. (2024). Research on the Impact of Artificial Intelligence on Innovation Performance. International Business & Economics Studies, 6(3), p167–p167. https://doi.org/10.22158/ibes.v6n3p167Search in Google Scholar

Забранський, М. В. (2024). Challenges and prospects of implementing ai in strategic management. https://doi.org/10.36074/logos-24.05.2024.013Search in Google Scholar