Towards Adoption of Generative AI in Organizational Settings

References

• Dwivedi YK, Kshetri N, Hughes L, Slade EL, Jeyaraj A, Kar AK, Wright R. So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges, and implications of generative conversational AI for research, practice and policy. Int J Inf Manage. 2023;71:102642. doi:10.1016/j.ijinfomgt.2023.102642.
   Web of Science ®Google Scholar
• Mariani MM, Machado I, Nambisan S. Types of innovation and artificial intelligence: a systematic quantitative literature review and research agenda. J Bus Res. 2022;155:Article 113364. doi:10.1016/j.jbusres.2022.113364.
   Web of Science ®Google Scholar
• Aydın O, Karaarslan E. OpenAI ChatGPT generated literature review: digital twin in healthcare. In: Aydın O. editor. Emerging computer technologies. Vol. 2. İzmir Akademi Dernegi; 2022. p. 22–31.
   Google Scholar
• Chui M, Roberts R, Yee L. Generative AI is here: how tools like ChatGPT could change your business. Quantum Black AI by McKinsey. 2022. https://www.mckinsey.com/capabilities/quantumblac/our-insights/generative-ai-is-here-how-tools-like-chatgpt-could-change-your-business.
   Google Scholar
• Elliot B. Why is ChatGPT making waves in the AI market? 2022. https://www.gartner.com/en/newsroom/press-releases/2022–12-08-why-ischatgpt-making-waves-in-the-ai-market.
   Google Scholar
• Fichman RG, Kemerer C. The illusory diffusion of innovation: an examination of assimilation gaps. Inf Syst Res. 1999;10(3):255–75. doi:10.1287/isre.10.3.255.
   Web of Science ®Google Scholar
• Zhu K, Dong S, Xu SX, Kraemer KL. Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. Eur J Inf Syst. 2006;15(6):601–16. doi:10.1057/palgrave.ejis.3000650.
   Web of Science ®Google Scholar
• Lewin K. Group decision and social change. Quasi-stationary social equilibria and the problem of permanent change. New York: Henry Holt Company; 1952. p. 39–44.
   Google Scholar
• Meyer AD, Goes JB. Organizational assimilation of innovations: a multilevel contextual analysis. Acad Manag J. 1988;31(4):897–923. doi:10.2307/256344.
   Web of Science ®Google Scholar
• Cooper RB, Robert WZ. Information technology implementation research: a technological diffusion approach. Manage Sci. 1990;36(2):123–39. doi:10.1287/mnsc.36.2.123.
   Web of Science ®Google Scholar
• Premkumar G, Ramamurthy K, Nilakanta S. Implementation of electronic data interchange: an innovation diffusion perspective. J Manage Inf Syst. 1994;11(2):157–86. doi:10.1080/07421222.1994.11518044.
   Google Scholar
• Zhu K, Kraemer KL, Xu S. The process of innovation assimilation by firms in different Countries: a technology diffusion perspective on E-Business. Manage Sci. 2006;52(10):1557–76. doi:10.1287/mnsc.1050.0487.
   Web of Science ®Google Scholar
• Wu IL, Chuang CH. Examining the diffusion of electronic supply chain management with external antecedents and firm performance: a multi-stage analysis. Decis Support Syst. 2010;1:103–15. doi:10.1016/j.dss.2010.07.006.
   Web of Science ®Google Scholar
• Fichman RG. The role of aggregation in the measurement of IT-Related organizational innovation. Mis Q. 2001;25(4):427–55. doi:10.2307/3250990.
   Web of Science ®Google Scholar
• Mishra AN, Konana P, Barua A. Antecedents and consequences of internet use in procurement: an empirical investigation of U.S. manufacturing firms. Inf Syst Res. 2007;18(1):103–22. doi:10.1287/isre.1070.0115.
   Web of Science ®Google Scholar
• Furneaux B, Wade M. An exploration of organizational level information systems discontinuance intentions. Mis Q. 2011;35(1):1–26. doi:10.2307/23042797.
   Google Scholar
• Kuan KKY, Chau PYK. A perception-based model for edi adoption in small businesses using a technology-organization-environment framework. Inf Manage. 2001;38(8):507–21. doi:10.1016/S0378-7206(01)00073-8.
   Web of Science ®Google Scholar
• Hong W, Zhu K. Migrating to internet-based e-commerce: factors affecting e-commerce adoption and migration at the firm level. Inform Manage. 2006;43(2):204–21. doi:10.1016/j.im.2005.06.003.
   Web of Science ®Google Scholar
• Agrawal K. Investigating the determinants of big data analytics (BDA) adoption in emerging economies. Acad Manage Proc. 2015;2015(1):11290. doi:10.5465/ambpp.2015.11290abstract.
   Google Scholar
• Rogers EM. Diffusion of innovations. New York: The Free Press; 1995.
   Google Scholar
• Iacovou CL, Benbasat I, Dexter AS. Electronic data interchange and small organizations: adoption and impact of technology. Mis Q. 1995;19(4):465–85. doi:10.2307/249629.
   Web of Science ®Google Scholar
• Bharadwaj AS. A resource-based perspective on information technology capability and firm performance: an empirical investigation. Mis Q. 2000;24(1):169–98. doi:10.2307/3250983.
   Web of Science ®Google Scholar
• Mata F, Fuerst W, Barney J. Information technology and sustained competitive advantage: a resource-based analysis. Mis Q. 1995;19(4):487–505. doi:10.2307/249630.
   Web of Science ®Google Scholar
• Tornatzky LG, Fleischer M, Chakrabarti AK, eds. The processes of technological innovation. Lexington (MA): Lexington Books; 1990.
   Google Scholar
• Paul JD, Powell WW. The iron cage revisited: institutional isomorphism and collective rationality in organizational fields. Am Sociol Rev. 1983;48(2):147–60. doi:10.2307/2095101.
   Web of Science ®Google Scholar
• Tsai M-C, Lee W, Wu HC. Determinants of RFID adoption intention: evidence from Taiwanese retail chains. Inf Manage. 2010;47(5–6):255–61. doi:10.1016/j.im.2010.05.001.
   Web of Science ®Google Scholar
• Ramdani B, Kawalek P, Lorenzo O. Predicting SMEs’ adoption of enterprise systems. J Enterp Inf Manag. 2009. doi:10.1108/17410390910922796.
   Google Scholar
• Rogers EM, Shoemaker FF. eds. Communication of innovations: a cross-culture approach. New York: The free press; 1971.
   Google Scholar
• Grant RM. The resource-based theory of competitive advantage. Calif Manage Rev. 1991;33(3):114–35. doi:10.2307/41166664.
   Web of Science ®Google Scholar
• Fichman RG. Real options and it platform adoption: implications for theory and practice. Inf Syst Res. 2004;15(2):132–54. doi:10.1287/isre.1040.0021.
   Web of Science ®Google Scholar
• Chatterjee D, Grewal R, Sambamurthy V. Shaping up for E-Commerce: institutional enablers of the organizational assimilation of web technologies. Mis Q. 2002;26(2):65–89. doi:10.2307/4132321.
   Web of Science ®Google Scholar
• Damanpour F. Organizational size and innovation, organ. Stud. 1992;13(3):375–402. doi:10.1177/017084069201300304.
   Google Scholar
• Grover V. An empirically derived model for the adoption of customer-based inter organizational systems. Decis Sci. 1993;24(3):603–40. doi:10.1111/j.1540-5915.1993.tb01295.x.
   Web of Science ®Google Scholar
• Sharma S, Rai A. An assessment of the relationship between ISD leadership characteristics and is innovation adoption in organizations. Inf Manage. 2003;40(5):391–401. doi:10.1016/S0378-7206(02)00049-6.
   Web of Science ®Google Scholar
• Cohen WM, Levinthal DA. Absorptive capacity: a new perspective on learning and innovation. Adm Sci Q. 2006;35(1):128–52. doi:10.2307/2393553.
   Google Scholar
• Lane PJ, Salk JE, Lyles MA. Absorptive capacity, learning, and performance in international joint ventures. Strateg Manag J. 2001b;22(12):1139–61. doi:10.1002/smj.206.
   Web of Science ®Google Scholar
• Sharma S. Managerial interpretations and organizational context as predictors of corporate choice of environmental strategy. Acad Manag J. 2000;43(4):681–97. doi:10.2307/1556361.
   Web of Science ®Google Scholar
• Bolloju N, Turban E. Organizational assimilation of web service technology: a research framework. J Organ Comput Electron Commerce. 2007;17:29–54.
   Web of Science ®Google Scholar
• Zhu K, Kraemer KL, Xu S. Information technology payoff in E-Business environments: an international perspective on value creation of E-Business in financial services industry. J Manage Inf Syst. 2004;21(1):17–54. doi:10.1080/07421222.2004.11045797.
   Web of Science ®Google Scholar
• Porter ME. Competitive strategy: techniques for analyzing industries and competitors. New York: Free Press; 1980.
   Google Scholar
• Zhu K, Kraemer KL. Post-adoption variations in usage and value of E-Business by organizations: cross-country evidence from the retail industry. Inf Syst Res. 2005;16(1):61–84. doi:10.1287/isre.1050.0045.
   Web of Science ®Google Scholar
• Williamson OE. Organizational innovation: the transaction cost approach. In: J.Ronen, ed. Lexington, MA: Entrepreneurship; 1983.
   Google Scholar
• Chau PYK, Lai F, Li D. What factors drive the assimilation of internet technologies in China? Commun ACM. 2008;51(9):132–37. doi:10.1145/1378727.1404256.
   Web of Science ®Google Scholar
• Lin HF. Inter-organizational and organizational determinants of planning effectiveness for internet-based inter organizational systems. Inf Manage. 2006;43(4):423–33. doi:10.1016/j.im.2005.10.004.
   Web of Science ®Google Scholar
• Soliman KS, Janz BD. An exploratory study to identify the critical factors affecting the decision to establish internet-based inter organizational information systems. Inf Manage. 2004;41(6):697–706. doi:10.1016/j.im.2003.06.001.
   Web of Science ®Google Scholar
• Hair JF, Anderson RE, Tatham RL, Black W. Multivariate data analysis. New York: Prentice Hall; 1998.
   Google Scholar
• Tornatzky LG, Klein KJ. Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. Eng Manage. 1982;29(1):28–45. doi:10.1109/TEM.1982.6447463.
   Google Scholar
• Chau PYK, Tam KY. Factors affecting the adoption of open systems: an exploratory study. Mis Q. 1997;21(1):1–24. doi:10.2307/249740.
   Web of Science ®Google Scholar