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The Role of Social Factors in the Acceptance of Artificial Intelligence-Based Services: the Example of the Banking Sector of Bosnia and Herzegovina


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Agic, E. 2018. Marketing analitika 2: Napredne metode statističke analize sa primjenom u Stati. Sarajevo, Bosnia and Herzegovina: Ekonomski fakultet u Sarajevu Search in Google Scholar

Al-Fraihat, D., Alzaidi, M. and Joy, M. 2023. Why Do Consumers Adopt Smart Voice Assistants for Shopping Purposes? A Perspective from Complexity Theory. Intelligent Systems with Applications. Search in Google Scholar

Allen, J. F. 1998. AI growing up: the changes and opportunities. AI Magazine 19 (4):13–23. Search in Google Scholar

Alt, M., Vizeli, I., and Saplacan, Z. 2021. Banking with a Chatbot – A Study on Technology Acceptance. Studia Universitatis Babes-Bolyai Oeconomica 66. 13–35. Search in Google Scholar

Alwin, D. F. and Hauser, R. M. 1975. The Decomposition of Effects in Path Analysis. American Sociological Review 40 (1): 37. Search in Google Scholar

Araujo, T.B. 2018. Living up to the chatbot hype: The influence of anthropomorphic design cues and communicative agency framing on conversational agent and company perceptions. Computers in human behavior 85: 183–189. Search in Google Scholar

Aslam, W., Ahmed Siddiqui, D., Arif, I. and Farhat, K. 2023. Chatbots in the frontline: drivers of acceptance. Kybernetes 52 (9): 3781–3810. Search in Google Scholar

Bentler, P. M. and Chou, C.-P. 1987. Practical Issues in Structural Modeling. Sociological Methods & Research 16 (1): 78–117. Search in Google Scholar

Bollen, K. A. 1987. Total, Direct, and Indirect Effects in Structural Equation Models. Sociological Methodology 17: 37. Search in Google Scholar

Boobier, T. 2018. Advanced Analytics and AI: Impact, Implementation, and the Future of Work. New Jersey, US: John Wiley & Sons. Search in Google Scholar

Boomsma, A. 1985. Nonconvergence, improper solutions, and starting values in Lisrel maximum likelihood estimation. Psychometrika 50 (2): 229–242. Search in Google Scholar

Brendel, A. B., Hildebrandt, F., Dennis, A. R. and Riquel, J. 2023. The Paradoxical Role of Humanness in Aggression Toward Conversational Agents. Journal of Management Information Systems 40 (3): 883–913. Search in Google Scholar

Brown, S. 2020. The Innovation Ultimatum: How Six Strategic Technologies Will Reshape Every Business in the 2020s. New Jersey, US: John Wiley & Sons. Search in Google Scholar

Brown, T. A. 2015. Confirmatory Factor Analysis for Applied Research. New York, US: The Guilford Press. Search in Google Scholar

Citi. 2018. Bank of the Future: The ABCs of Digital Disruption in Finance. http://www.smallake.kr/wp-content/uploads/2018/05/AHDX6.pdf (accessed June 17, 2024) Search in Google Scholar

Cocheo, S. 2020. AI’s Real Impact on Banking: The Critical Importance of Human Skills. https://thefinancialbrand.com/103893/artificial-intelligence-financial-institution-trend-digital-transformation/ (accessed June 17, 2024) Search in Google Scholar

Davenport, T., Guha, A., Grewal, D. and Bressgott, T. 2019. How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science. Search in Google Scholar

De Miranda, L. 2019. 30-Second AI and Robotics. Lewes, UK: Ivy Press. Search in Google Scholar

Dickinger, A., Arami, M. and Meyer, D. 2008. The role of perceived enjoyment and social norm in the adoption of technology with network externalities. European Journal of Information Systems 17 (1): 4–11. Search in Google Scholar

Duan, Y., Edwards, J. S. and Dwivedi, Y. K. 2019. Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management 48: 63–71. Search in Google Scholar

Fernandes, T. and Oliveira, E. 2021. Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption. Journal of Business Research 122: 180–191. Search in Google Scholar

Fiske, S.T., Cuddy, A.J.C. and Glick, P. 2007. Universal dimensions of social cognition: warmth and competence. Trends in Cognitive Science 11 (2): 77–83. Search in Google Scholar

Gobat, J. n.d. Banks: At the Heart of the Matter. https://www.imf.org/en/Publications/fandd/issues/Series/Back-to-Basics/Banks (accessed June 3, 2024) Search in Google Scholar

Goodhue, D.L., Lewis, W. and Thompson, R. 2012. Does PLS Have Advantages for Small Sample Size or Non-Normal Data? MIS Quarterly 36 (3): 981. Search in Google Scholar

Gursoy, D., Chi, O.H., Lu, L. and Nunkoo, R. 2019. Consumers Acceptance of Artificially Intelligent Device Use in Service Delivery. International Journal of Information Management 49. Search in Google Scholar

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., Ray, S. 2021. Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Cham, Switzerland: Springer International Publishing. Search in Google Scholar

Hair, J. F., Hult, G. T. M., Ringle, C. M. and Sarstedt, M. 2013, 2022. A primer on partial least squares structural equation modeling (PLS-SEM), 3rd ed., Thousand Oaks, CA: Sage. Search in Google Scholar

Hair, J. F., Ringle, C. M. and Sarstedt, M. 2011. PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice 19 (2): 139–152. Search in Google Scholar

Heerink, M., Kröse, B., Evers, V. and Wielinga, B. 2010. Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model. International Journal of Social Robotics 2 (4): 361–375. Search in Google Scholar

Heeter, C. 1992. Being There: The subjective experience of presence. Presence: Teleoperators and Virtual Environments 1 (2): 262e271. Search in Google Scholar

Hooper, D., Coughlan, J. and Mullen, M. 2007. Structural Equation Modeling: Guidelines for Determining Model Fit. The Electronic Journal of Business Research Methods. Search in Google Scholar

Hu, L. T. and Bentler, P. M. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 6: 1–55. Search in Google Scholar

Illum, S. F., Ivanov, S. H. and Liang, Y. 2010. Using virtual communities in tourism research. Tourism Management 31 (3): 335–340. Search in Google Scholar

Jayaram, J., Kannan, V. R. and Tan, K. C. 2004. Influence of initiators on supply chain value creation. International Journal of Production Research 42 (20): 4377–4399. Search in Google Scholar

J.P.Morgan. 2021. Innovations in Finance with Machine Learning, Big Data and Artificial Intelligence: Summary of the latest research and trends. https://www.jpmorgan.com/insights/research/machine-learning (accessed June 17, 2024) Search in Google Scholar

Karmakar, A. 2020. In Bartoletti, I., Leslie, A. and Millie, S.M. (Eds). The AI Book: The Artificial Intelligence Handbook for Investors, Entrepreneurs and FinTech Visionaries. New Jersey, US: John Wiley & Sons Search in Google Scholar

King, B. 2014. Breaking Banks: The Innovators, Rogues, and Strategists Rebooting Banking. New Jersey, US: John Wiley & Sons. Search in Google Scholar

King, B. 2018. Bank 4.0: Banking everywhere, never at a bank. Singapore, Singapore: Marshall Cavendish Business. Search in Google Scholar

Kim, H., So, K.K.F., Wirtz, J. 2022. Service robots: Applying social exchange theory to better understand human–robot interactions. Tourism Management 92. Search in Google Scholar

Kirsh, D. 1991. Foundations of AI: The big issues. Artificial Intelligence 47 (1–3): 3–30. Search in Google Scholar

Kline, R. B. 2016. Principles and Practice of Structural Equation Modeling. New York City, US: Guilford Publications. Search in Google Scholar

Kock, N. and Hadaya, P. 2016. Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal 28 (1): 227–261. Search in Google Scholar

Levitt, K. 2024. AI Takes Center Stage: Survey Reveals Financial Industry’s Top Trends for 2024. NVIDIA. https://blogs.nvidia.com/blog/ai-in-financial-services-survey-2024/. (accessed June 3, 2024) Search in Google Scholar

Lumley, L. 2022. RIP the humble ATM?. https://www.thebanker.com/RIP-the-humble-ATM-1664785916. (accessed June 1, 2024) Search in Google Scholar

Ma, X. and Huo, Y. 2023. Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework. Technology in Society 75 (5):102362. Search in Google Scholar

MacCallum, R. C., Widaman, K. F., Zhang, S. and Hong, S. 1999. Sample size in factor analysis. Psychological Methods 4 (1): 84–99. Search in Google Scholar

Manser Payne, L., Dahl, A. and Peltier, J. 2021. Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems. Journal of Research in Interactive Marketing. Search in Google Scholar

Marous, J. 2017. Banking Must Move From Mobile-First to AI-First. https://thefinancialbrand.com/65338/banking-ai-ui-artificial-intelligence-data/ (accessed June 17, 2024) Search in Google Scholar

G. McLean, K. and Osei-Frimpong 2019. Hey Alexa examine the variables influencing the use of artificial intelligent in-home voice assistants. Computers in Human Behavior 99 (2019): 28–37. Search in Google Scholar

Monett, D., and Lewis, C. W. P. 2018. Getting clarity by defining Artificial Intelligence - A Survey. In Muller, V. C., ed. Philosophy and Theory of Artificial Intelligence. Springer. 212–214. Search in Google Scholar

Ng, C-W. 2020. The Future of AI in Finance. In Bartoletti, I., Leslie, A. and Millie, S.M. (Eds). The AI Book: The Artificial Intelligence Handbook for Investors, Entrepreneurs and FinTech Visionaries. New Jersey, US: John Wiley & Sons Search in Google Scholar

Nilsson, N.J. 2010. The Quest for Artificial Intelligence: A History of Ideas and Achievements. Cambridge, UK: Cambridge University Press. Search in Google Scholar

Marsh, H. W., Hau, K.-T. and Wen, Z. 2004. In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler’s (1999) Findings. Structural Equation Modeling: A Multidisciplinary Journal 11 (3): 320–341. Search in Google Scholar

Pasikowski, S. 2023. Snowball Sampling and Its Non-Trivial Nature, Przeglad Badan Edukacyjnych 2 (43): 105–120. Search in Google Scholar

Premathilake, G.W., Li, H. 2024. Users’ responses to humanoid social robots: A social response view. Telematics and Informatics. Search in Google Scholar

Rafiq, F., Dogra, N., Adil, M., and Wu, J.-Z. 2022. Examining Consumer’s Intention to Adopt AI-Chatbots in Tourism Using Partial Least Squares Structural Equation Modeling Method. Mathematics 10: 2190. Search in Google Scholar

Rai, A., Constantinides, P. and Sarker, S. 2019. Next Generation Digital Platforms: Toward Human-AI Hybrids. MIS Quarterly 43 (1): iii–ix. Search in Google Scholar

Richad, R., Vivensius, V., Sfenrianto, S., Kaburuan, E. R. 2019. Analysis of factors influencing millennial’s technology acceptance of chatbot in the banking industry in Indonesia. International Journal of Civil Engineering and Technology 10 (4): 1270–1281. Search in Google Scholar

Ringle, C. M., Wende, S. and Becker, J-M. 2024. SmartPLS 4. Bönningstedt: SmartPLS. https://www.smartpls.com (accessed June 17, 2024) Search in Google Scholar

Ryu, E. and Cheong, J. 2017. Comparing Indirect Effects in Different Groups in Single-Group and Multi-Group Structural Equation Models. Frontiers in Psychology 8. Search in Google Scholar

Schermelleh-Engel, K., Moosbrugger, H. and Müller, H. 2003. Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures. Methods of Psychological Research Online 8: 23–74. Search in Google Scholar

Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A. and King, J. 2006. Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. The Journal of Educational Research 99 (6): 323–338. Search in Google Scholar

Solomon, M., Surprenant, C., Czepiel, J. and Gutman, E. 1985. A Role Theory Perspective on Dyadic Interactions: The Service Encounter. Journal of Marketing 49: 99. Search in Google Scholar

Svenningsson, N. and Faraon, M. 2019. Artificial intelligence in conversational agents: A study of factors related to perceived humanness in chatbots. Search in Google Scholar

Tan, O. 2017. How AI Can Improve The Customer Experience. https://www.forbes.com/sites/forbestechcouncil/2017/08/09/how-ai-can-improve-the-customer-experience/?sh=4c7b7279757d (accessed June 3, 2024) Search in Google Scholar

Tan, S.M. and Liew, T.W. 2022. Multi-Chatbot or Single-Chatbot? The Effects of M-Commerce Chatbot Interface on Source Credibility, Social Presence, Trust, and Purchase Intention. Human Behavior and Emerging Technologies. Search in Google Scholar

Turnadzic, T., Pestek, A., Cinjarevic, M. 2023. Readiness of develoing economies’ banking sectors for AI-enhances services: The example of the banking sector in Bosnia and Herzegovina. 8th International Scientific Conference CRODMA 2023. https://crodma.hr/wp-content/uploads/2023/10/8th-CRODMA-2023.pdf Search in Google Scholar

Walch, K. 2019. AI’s Increasing Role In Customer Service. https://www.forbes.com/sites/cognitive-world/2019/07/02/ais-increasing-role-in-customer-service/?sh=c8661fc73fcf (accessed June 3, 2024) Search in Google Scholar

Wang, X., Luo, R., Liu, Y., Chen, P., Tao, Y., He, Y. 2023. Revealing the complexity of users’ intention to adopt healthcare chatbots: A mixed-method analysis of antecedent condition configurations. Information Processing & Management 60 (5). Search in Google Scholar

Verhagen, T., van Nes, J., Feldberg, F., and van Dolen, W. 2014. Virtual customer service Agents: Using social presence and personalization to shape online service encounters. Journal of Computer-mediated Communication 19 (3): 529e545. Search in Google Scholar

Vieira, A., Sehgal, A. 2017. How banks can better serve their customers through artificial techniques. Digital Marketplaces Unleashed. Search in Google Scholar

Winston, P. 1982. Artificial Intelligence: A Perspective. MIT Press. https://mitpress-request.mit.edu/sites/default/files/titles/content/9780262570770_sch_0001.pdf (accessed June 17, 2024) Search in Google Scholar

Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S. and Martins, A. 2018. Brave new world: service robots in the frontline. Journal of Service Management. Search in Google Scholar

Wolf, E. J., Harrington, K. M., Clark, S. L. and Miller, M. W. 2013. Sample Size Requirements for Structural Equation Models. Educational and Psychological Measurement 73 (6): 913–934. Search in Google Scholar

Wong, K-T., Osman, R., Goh, P.S.C., Rahmat, M.K. 2013. Understanding Student Teachers’ Behavioural Intention to Use Technology: Technology Acceptance Model (TAM) Validation and Testing. International Journal of Instruction 6 (1). Search in Google Scholar

Xiang, J. 2020. AI in Lending. In Bartoletti, I., Leslie, A. and Millie, S.M. (Eds). The AI Book: The Artificial Intelligence Handbook for Investors, Entrepreneurs and FinTech Visionaries. New Jersey, US: John Wiley & Sons Search in Google Scholar

Zamora, J. 2017. I’m Sorry, Dave, I’m Afraid I Can’t Do That: Chatbot Perception and Expectations: 253-260. Search in Google Scholar

Zhang, S., Meng, Z., Chen, B., Yang, X. and Zhao, X. 2021. Motivation, Social Emotion, and the Acceptance of Artificial Intelligence Virtual Assistants—Trust-Based Mediating Effects. Frontiers in Psychology 12: 728495. Search in Google Scholar

Zhu, D.-S., Lin, T. C.-T. and Hsu, Y.-C. 2012. Using the technology acceptance model to evaluate user attitude and intention of use for online games. Total Quality Management & Business Excellence 23 (7–8): 965–980. Search in Google Scholar

Zhu, W. 2016. p < 0.05, < 0.01, < 0.001, < 0.0001, < 0.00001, < 0.000001, or < 0.0000001 …. Journal of Sport and Health Science 5 (1): 77–79. Search in Google Scholar

Zulfakar, Z. Abd Rahim, F., Yat, D., Mun, L. and Cham, T-H. 2022. Say Aye to AI: Customer Acceptance and Intention to Use Service Robots in the Hospitality Industry. Search in Google Scholar

eISSN:
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