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Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework

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  • Gupta, Somya
  • Ghardallou, Wafa
  • Pandey, Dharen Kumar
  • Sahu, Ganesh P.

Abstract

Using the technology–organization–environment framework, this study examines the factors influencing the behavioral intention of insurance industry employees to adopt artificial intelligence (AI)-enabled applications. With two factors from the technology dimension and three factors each from the organization and environment dimensions, we collected data from 358 employees in the Indian insurance industry. We use structural equation modeling to test what variables significantly impact employees' behavioral intentions to adopt AI in the insurance industry. While all technological (relative advantage and complexity) and environmental (market dynamics, regulatory support, and competitive pressure) variables significantly predict behavioral intention, only top management support and financial readiness among the environmental variables indicate a significant association with the behavioral intention for AI adoption. Accordingly, technical competencies did not have a significant impact on behavioral intention. This study has important managerial implications for emerging economies.

Suggested Citation

  • Gupta, Somya & Ghardallou, Wafa & Pandey, Dharen Kumar & Sahu, Ganesh P., 2022. "Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework," Research in International Business and Finance, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:riibaf:v:63:y:2022:i:c:s027553192200143x
    DOI: 10.1016/j.ribaf.2022.101757
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    as
    1. Ahmed, Shamima & Alshater, Muneer M. & Ammari, Anis El & Hammami, Helmi, 2022. "Artificial intelligence and machine learning in finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 61(C).
    2. Lv, Panpan & Xiong, Hu, 2022. "Can FinTech improve corporate investment efficiency? Evidence from China," Research in International Business and Finance, Elsevier, vol. 60(C).
    3. Xian Xu & Peter Zweifel, 2020. "A framework for the evaluation of InsurTech," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 23(4), pages 305-329, December.
    4. Srivastava, Deepak Kumar & Kumar, Vikas & Ekren, Banu Yetkin & Upadhyay, Arvind & Tyagi, Mrinal & Kumari, Archana, 2022. "Adopting Industry 4.0 by leveraging organisational factors," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    5. Martin Eling & Martin Lehmann, 2018. "The Impact of Digitalization on the Insurance Value Chain and the Insurability of Risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(3), pages 359-396, July.
    6. Wong, Lai-Wan & Leong, Lai-Ying & Hew, Jun-Jie & Tan, Garry Wei-Han & Ooi, Keng-Boon, 2020. "Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs," International Journal of Information Management, Elsevier, vol. 52(C).
    7. Baltar, Fabiola & Brunet Icart, Ignasi, 2012. "Social research 2.0: virtual snowball sampling method using Facebook," Nülan. Deposited Documents 1875, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    8. Hong Chen & Ling Li & Yong Chen, 2021. "Explore success factors that impact artificial intelligence adoption on telecom industry in China," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(1), pages 36-68, January.
    9. Matos, Paulo & Costa, Antonio & da Silva, Cristiano, 2021. "COVID-19, stock market and sectoral contagion in US: a time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 57(C).
    10. Umar Farooq & Adeel Nasir & Bilal & Muhammad Umer Quddoos, 2021. "The impact of COVID-19 pandemic on abnormal returns of insurance firms: a cross-country evidence," Applied Economics, Taylor & Francis Journals, vol. 53(31), pages 3658-3678, July.
    11. Martin Eling & Davide Nuessle & Julian Staubli, 2022. "The impact of artificial intelligence along the insurance value chain and on the insurability of risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 205-241, April.
    12. Maehashi, Kohei & Shintani, Mototsugu, 2020. "Macroeconomic forecasting using factor models and machine learning: an application to Japan," Journal of the Japanese and International Economies, Elsevier, vol. 58(C).
    13. Xiaoxia Duan & Hepu Deng & Brian Corbitt, 2012. "Evaluating the critical determinants for adopting e‐market in Australian small‐and‐medium sized enterprises," Management Research Review, Emerald Group Publishing Limited, vol. 35(3/4), pages 289-308, March.
    14. Rodrigues, Ana Rita D. & Ferreira, Fernando A.F. & Teixeira, Fernando J.C.S.N. & Zopounidis, Constantin, 2022. "Artificial intelligence, digital transformation and cybersecurity in the banking sector: A multi-stakeholder cognition-driven framework," Research in International Business and Finance, Elsevier, vol. 60(C).
    15. Wang, Yi-Shun & Li, Hsien-Ta & Li, Ci-Rong & Zhang, Ding-Zhong, 2016. "Factors affecting hotels' adoption of mobile reservation systems: A technology-organization-environment framework," Tourism Management, Elsevier, vol. 53(C), pages 163-172.
    16. Dharen Kumar Pandey & Rahul Kumar, 2022. "Lockdown, unlock, stock returns, and firm-specific characteristics: the Indian tourism sector during the Covid-19 outbreak," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(7), pages 1026-1032, April.
    17. Choudhury, Tonmoy & Kinateder, Harald & Neupane, Biwesh, 2022. "Gold, bonds, and epidemics: A safe haven study," Finance Research Letters, Elsevier, vol. 48(C).
    18. Mushtaq, Rizwan & Gull, Ammar Ali & Shahab, Yasir & Derouiche, Imen, 2022. "Do financial performance indicators predict 10-K text sentiments? An application of artificial intelligence," Research in International Business and Finance, Elsevier, vol. 61(C).
    19. Mohammad Alamgir Hossain & Mohammed Quaddus & Nazrul Islam, 2016. "Developing and validating a model explaining the assimilation process of RFID: An empirical study," Information Systems Frontiers, Springer, vol. 18(4), pages 645-663, August.
    20. Pandey, Dharen Kumar & Kumari, Vineeta, 2021. "Event study on the reaction of the developed and emerging stock markets to the 2019-nCoV outbreak," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 467-483.
    21. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    22. Seiler, Volker & Fanenbruck, Katharina Maria, 2021. "Acceptance of digital investment solutions: The case of robo advisory in Germany," Research in International Business and Finance, Elsevier, vol. 58(C).
    23. Goodell, John W. & Huynh, Toan Luu Duc, 2020. "Did Congress trade ahead? Considering the reaction of US industries to COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    24. Nilashi, Mehrbakhsh & Ahmadi, Hossein & Ahani, Ali & Ravangard, Ramin & Ibrahim, Othman bin, 2016. "Determining the importance of Hospital Information System adoption factors using Fuzzy Analytic Network Process (ANP)," Technological Forecasting and Social Change, Elsevier, vol. 111(C), pages 244-264.
    25. Sachin Kamble & Angappa Gunasekaran & Vikas Kumar & Amine Belhadi & Cyril Foropon, 2021. "A machine learning based approach for predicting blockchain adoption in supply chain," Post-Print hal-03539287, HAL.
    26. Kohei Maehashi & Mototsugu Shintani, 2020. "Macroeconomic Forecasting Using Factor Models and Machine Learning: An Application to Japan," CIRJE F-Series CIRJE-F-1146, CIRJE, Faculty of Economics, University of Tokyo.
    27. Kim, Sanghyun & Garrison, Gary, 2010. "Understanding users’ behaviors regarding supply chain technology: Determinants impacting the adoption and implementation of RFID technology in South Korea," International Journal of Information Management, Elsevier, vol. 30(5), pages 388-398.
    28. Hassan, M. Kabir & Kamran, Muhammad & Djajadikerta, Hadrian Geri & Choudhury, Tonmoy, 2022. "Search for safe havens and resilience to global financial volatility: Response of GCC equity indexes to GFC and Covid-19," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    29. Kamble, Sachin S. & Gunasekaran, Angappa & Kumar, Vikas & Belhadi, Amine & Foropon, Cyril, 2021. "A machine learning based approach for predicting blockchain adoption in supply Chain," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    30. Kevin Zhu & Kenneth L. Kraemer & Sean Xu, 2006. "The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business," Management Science, INFORMS, vol. 52(10), pages 1557-1576, October.
    31. Abed, Salma S., 2020. "Social commerce adoption using TOE framework: An empirical investigation of Saudi Arabian SMEs," International Journal of Information Management, Elsevier, vol. 53(C).
    32. S. Ananda & Sonal Devesh & Anis Moosa Al Lawati, 2020. "What factors drive the adoption of digital banking? An empirical study from the perspective of Omani retail banking," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 25(1), pages 14-24, June.
    33. Jacob Dexe & Ulrik Franke & Alexander Rad, 2021. "Transparency and insurance professionals: a study of Swedish insurance practice attitudes and future development," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(4), pages 547-572, October.
    34. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    35. Xiaoxia Duan & Hepu Deng & Brian Corbitt, 2012. "Evaluating the critical determinants for adopting e‐market in Australian small‐and‐medium sized enterprises," Management Research Review, Emerald Group Publishing Limited, vol. 35(3/4), pages 289-308, March.
    36. Xiaoxia Duan & Hepu Deng & Brian Corbitt, 2012. "Evaluating the critical determinants for adopting e‐market in Australian small‐and‐medium sized enterprises," Management Research Review, Emerald Group Publishing Limited, vol. 35(3/4), pages 289-308, March.
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    Cited by:

    1. Tarikul Islam & Erhua Zhou, 2024. "Unpacking the Reasons Shaping Employee Acceptance and Attitudes towards AI Assistant Services in the Hotel Industry: A Behavioral Reasoning Perspective," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 14(5), pages 1-7.
    2. Pandey, Dharen Kumar & Hassan, M.Kabir & Kumari, Vineeta & Zaied, Younes Ben & Rai, Varun Kumar, 2024. "Mapping the landscape of FinTech in banking and finance: A bibliometric review," Research in International Business and Finance, Elsevier, vol. 67(PA).
    3. Cosma, Simona & Rimo, Giuseppe, 2024. "Redefining insurance through technology: Achievements and perspectives in Insurtech," Research in International Business and Finance, Elsevier, vol. 70(PA).
    4. Rabindra Kumar Jena, 2022. "Examining the Factors Affecting the Adoption of Blockchain Technology in the Banking Sector: An Extended UTAUT Model," IJFS, MDPI, vol. 10(4), pages 1-20, September.
    5. HUO, Peng & WANG, Luxin, 2022. "Digital economy and business investment efficiency: Inhibiting or facilitating?," Research in International Business and Finance, Elsevier, vol. 63(C).

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    More about this item

    Keywords

    Artificial intelligence; Insurance industry; TOE framework; Structural equation modeling; InsurTech;
    All these keywords.

    JEL classification:

    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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