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Generative conversational AI agent for managerial practices: The role of IQ dimensions, novelty seeking and ethical concerns

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  • Baabdullah, Abdullah M.

Abstract

This study aims to identify and empirically examine the influence of the main factors related to the content quality of generative conversational AI agents on decision-making efficiency. Additionally, this study explores the ramifications of decision-making efficiency facilitated by generative conversational AI agents in organisational innovation performance. This study proposes a model based on the information quality model as well as other factors, such as novelty seeking and ethical concerns. Data from this study was collected using online questionnaires from a purposive sample size of 228 employees in business organisations. Based on Structural Equation Modelling (SEM) analyses using AMOS, the results support the significant impact of information quality (intrinsic information quality, contextual information quality, representational information quality, and accessibility of information quality) on decision-making efficiency. The results also support the significant impact of novelty seeking and ethical concerns on decision-making efficiency. Decision-making efficiency was also found to have a significant positive impact on innovation performance. This empirical study makes a considerable contribution as it is among the first to expand the current understanding of the effective use of generative conversational AI agents in managerial practices (i.e. decision-making and innovation).

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  • Baabdullah, Abdullah M., 2024. "Generative conversational AI agent for managerial practices: The role of IQ dimensions, novelty seeking and ethical concerns," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
  • Handle: RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006364
    DOI: 10.1016/j.techfore.2023.122951
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    1. Koroma, Jonathan & Rongting, Zhou & Muhideen, Sayibu & Akintunde, Tosin Yinka & Amosun, Tunde Simeon & Dauda, Sahr James & Sawaneh, Ibrahim Abdulai, 2022. "Assessing citizens' behavior towards blockchain cryptocurrency adoption in the Mano River Union States: Mediation, moderation role of trust and ethical issues," Technology in Society, Elsevier, vol. 68(C).
    2. Duan, Yanqing & Edwards, John S. & Dwivedi, Yogesh K, 2019. "Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda," International Journal of Information Management, Elsevier, vol. 48(C), pages 63-71.
    3. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    4. Xuan, Li, 2022. "Big data-driven fuzzy large-scale group decision making (LSGDM) in circular economy environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    5. Aladwani, Adel M. & Dwivedi, Yogesh K., 2018. "Towards a theory of SocioCitizenry: Quality anticipation, trust configuration, and approved adaptation of governmental social media," International Journal of Information Management, Elsevier, vol. 43(C), pages 261-272.
    6. Roberto Aringhieri & Giuliana Carello & Daniela Morale, 2016. "Supporting decision making to improve the performance of an Italian Emergency Medical Service," Annals of Operations Research, Springer, vol. 236(1), pages 131-148, January.
    7. Roberto Aringhieri & Giuliana Carello & Daniela Morale, 2016. "Supporting decision making to improve the performance of an Italian Emergency Medical Service," Annals of Operations Research, Springer, vol. 236(1), pages 131-148, January.
    8. Shamim, Saqib & Zeng, Jing & Khan, Zaheer & Zia, Najam Ul, 2020. "Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    9. Yalcin, Ahmet Selcuk & Kilic, Huseyin Selcuk & Delen, Dursun, 2022. "The use of multi-criteria decision-making methods in business analytics: A comprehensive literature review," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    12. Samma Faiz Rasool & Mansi Wang & Yanping Zhang & Madeeha Samma, 2020. "Sustainable Work Performance: The Roles of Workplace Violence and Occupational Stress," IJERPH, MDPI, vol. 17(3), pages 1-12, February.
    13. Enrique Herrera‐Viedma & Gabriella Pasi & Antonio G. Lopez‐Herrera & Carlos Porcel, 2006. "Evaluating the information quality of Web sites: A methodology based on fuzzy computing with words," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(4), pages 538-549, February.
    14. Issa, Helmi & Jabbouri, Rachid & Palmer, Mark, 2022. "An artificial intelligence (AI)-readiness and adoption framework for AgriTech firms," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    15. Pietronudo, Maria Cristina & Croidieu, Grégoire & Schiavone, Francesco, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    16. Zina Houhamdi & Belkacem Athamena, 2019. "Impacts of information quality on decision-making," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 21(1), pages 26-42.
    17. Hirschman, Elizabeth C, 1980. "Innovativeness, Novelty Seeking, and Consumer Creativity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(3), pages 283-295, December.
    18. Li, Lei & Lin, Jiabao & Ouyang, Ye & Luo, Xin (Robert), 2022. "Evaluating the impact of big data analytics usage on the decision-making quality of organizations," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    19. Maryam Ghasemaghaei & Khaled Hassanein, 2019. "Dynamic model of online information quality perceptions and impacts: a literature review," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(3), pages 302-317, March.
    20. Bingcheng Wang & Pei-Luen Patrick Rau & Tianyi Yuan, 2023. "Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(9), pages 1324-1337, July.
    21. Gilbert-Saad, Antoine & Siedlok, Frank & McNaughton, Rod B., 2023. "Entrepreneurial heuristics: Making strategic decisions in highly uncertain environments," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    22. Luisa Mich & Roberto Garigliano, 2023. "ChatGPT for e-Tourism: a technological perspective," Information Technology & Tourism, Springer, vol. 25(1), pages 1-12, March.
    23. Aydiner, Arafat Salih & Tatoglu, Ekrem & Bayraktar, Erkan & Zaim, Selim, 2019. "Information system capabilities and firm performance: Opening the black box through decision-making performance and business-process performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 168-182.
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