The Sky is the Limit: Maximize the Intention to Accept Artificial Intelligence-Enabled Transformations in the Airline Industry

Zahir Osman

This study examines the crucial role of leadership, organizational culture, and peer influence in enhancing employee acceptance of artificial intelligence (AI)- enabled transformation within the airline industry. Acceptance of AI is vital for airlines seeking to leverage technological advancements to improve operational efficiency and customer satisfaction. The study explores how transformational leadership, with a supportive organizational culture and effective peer influence, affects employees' intention to embrace AI transformations mediated by self-efficacy. Data was collected through survey questionnaires distributed to employees of Malaysian airline companies, resulting in 399 valid responses for analysis. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed for data analysis, using 5,000 sub-samples to test the significance of the hypothesized relationships. The results indicate that leadership style, organizational culture, and peer influence all positively impact self-efficacy, which in turn enhances the intention to accept AI transformations. Self-efficacy emerged as a significant mediator, emphasizing the need for strategies to boost employee confidence in handling AI technologies. Based on the findings, the study suggests that future research should focus on longitudinal analyses to observe the long-term effects of leadership and cultural practices on AI adoption. Additionally, exploring these dynamics in different geographical regions and sectors could provide broader insights into the factors influencing technology acceptance. The implications of this study are multifaceted, offering valuable guidance for airline companies aiming to implement AI technologies successfully. By fostering transformational leadership and a culture supportive of innovation, companies can enhance self-efficacy among employees, leading to greater acceptance and smoother integration of AI systems. These findings contribute significantly to the literature on technology acceptance in the airline industry and provide practical frameworks for companies to optimize their workforce's readiness for AI advancements. Ultimately, this approach can drive innovation and maintain competitiveness in a rapidly evolving sector.

Abd El Kafy, J. H., Eissawy, T. M., & Hasanein, A. M. (2022). Tourists' Perceptions Toward Using Artificial Intelligence Services in Tourism and Hospitality. Journal of Tourism, Hotels and Heritage, 5(1), 1-20.
Bai, X., Guo, R., & Gu, X. (2024). Effect of teachers’ TPACK on their behavioural intention to use technology: chain mediating effect of technology self-efficacy and attitude toward use. Education and Information Technologies, 29(1), 1013-1032.
Bass, B. M., & Riggio, R. E. (2006). Transformational Leadership (2nd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.
Bayraktar, S., & Jiménez, A. (2020). Self-efficacy as a resource: a moderated mediation model of transformational leadership, extent of change and reactions to change. Journal of Organizational Change Management, 33(2), 301-317.
Cheriyan, A., Sharma, R. K., Joseph, A., & Kappil, S. R. (2022). Consumer acceptance towards AI-enabled chatbots; case of travel and tourism industries. Journal of Positive School Psychology, 6(3), 3880-3889.
Chi, O. H., Gursoy, D., & Chi, C. G. (2022). Tourists’ attitudes toward using artificially intelligent (AI) devices in tourism service delivery: moderating role of service value seeking. Journal of Travel Research, 61(1), 170-185.
Chughtai, M. S., Syed, F., Naseer, S., & Chinchilla, N. (2023). Role of adaptive leadership in learning organizations to boost organizational innovations with change self-efficacy. Current Psychology, 1-20.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155–159. doi:10.1037/0033- 2909.112.1.155
De Cannière, M.H., De Pelsmacker, P., Geuens, M. (2009) Relationship quality and the theory of planned behaviour models of behavioral intentions and purchase behavior. J. Bus. Res., 62, 82–92.
Duong, C. (2023). A moderated mediation model of perceived barriers, entrepreneurial self-efficacy, intentions, and behaviors: A social cognitive career theory perspective. Oeconomia Copernicana, 14(1), 355-388.
Durkin, K., Williford, D. N., Turiano, N. A., Blank, M. D., Enlow, P. T., Murray, P. J., ... & Duncan, C. L. (2021). Associations between peer use, costs and benefits, self-efficacy, and adolescent E-cigarette use. Journal of Pediatric Psychology, 46(1), 112-122.
Eisenbeiss, S. A., van Knippenberg, D., & Boerner, S. (2008). Fostering team innovation: How leader behaviour influences integrating different team member perspectives. Research on Managing Groups and Teams, 11, 211-233.
Gelaidan, H. M., Al-Swidi, A. K., & Al-Hakimi, M. A. (2024). Servant and authentic leadership as drivers of innovative work behaviour: the moderating role of creative self-efficacy. European Journal of Innovation Management, 27(6), 1938-1966.
Geske, A. M., Herold, D. M., & Kummer, S. (2024). Artificial Intelligence as a driver of efficiency in air passenger transport: A systematic literature review and future research avenues. Journal of the Air Transport Research Society, 100030.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousand Oaks, CA: SAGE.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (3 ed.). Thousand Oaks, CA: Sage.
Hair, J.F., M. Sarstedt, C.M. Ringle, and S.P. Gudergan. (2018). Advanced issues in partial least squares structural equation modeling. Thousand Oakes, CA: Sage Publications
Halawi, D. B. A., L., Miller, Ed D., M. D., & Holley, Ph D. S. J. (2024). Artificial Intelligence in Aviation: A Path Analysis. Journal of Aviation/Aerospace Education & Research, 33(4), 10.
Henseler, J., Ringle, C. M., and 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
Intaratat, K., Osman, Z., Nguyen, H. A. T., Suhandoko, A. D. J., & Sultana, N. (2024). Peer and tutor interaction effects on collaborative learning: The role of learning self-efficacy. Edelweiss Applied Science and Technology, 8(4), 2108-2121.
Ivanov, D., Pelipenko, E., Ershova, A., & Tick, A. (2021, November). Artificial intelligence in aviation industry. In International Scientific Conference Digital Technologies in Logistics and Infrastructure (pp. 233-245). Cham: Springer International Publishing.
Jain, A., Damodaran, A., Kumar, R., & Bangwal, D. (2024). Stakeholder perception on challenges of artificial Intelligence implementation in Indian aviation industry: a focus group study. International Journal of Business Innovation and Research, 35(1), 1-16.
Kang, Y-N., Chang, C-H., Kao, C-C., Chen, C. Y., Wu, C-C. (2019) Development of a short and universal learning self-efficacy scale for clinical skills. PLoS ONE 14(1): e0209155. https://doi.org/ 10.1371/journal.pone.0209155
Kaur, H., & Kaur, P. (2024). Paradoxes of Self-Service Technology Adoption: An Evidence from Airline Industry. Saudi J Bus Manag Stud, 9(5), 96-103.
Kebah, M., Raju, V., & Osman, Z. (2019). Growth of online purchase in Saudi Arabia retail industry. International Journal of Recent Technology and Engineering, 8(3), 869-872.. ISSN: 2277-3878
Kebah, M., Raju, V., & Osman, Z. (2019). Online purchasing trend in the retail industry in Saudi. International Journal of Recent Technology and Engineering (IJRTE), 8(3), 865-868. ISSN: 2277-3878
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1-10.
Kock, N., & Lynn, G.S. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546-580.
Le, T. T., Doan, X. H., & Duong, C. D. (2023). A serial mediation model of the relation between cultural values, entrepreneurial self-efficacy, intentions and behaviors: Does entrepreneurial education matter? A multi-group analysis. Journal of Open Innovation: Technology, Market, and Complexity, 9(2), 100064.
Li, X. T., Rahman, A., Connie, G., & Osman, Z. (2020). Examining customers' perception of electronic shopping mall's e-service quality. International Journal of Services, Economics and Management, 11(4), 329-346.
Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences, 52(2), 362-392.
Madlock, P. E. (2008). The Link Between Leadership Style, Communicator Competence, and Employee Satisfaction. The Journal of Business Communication (1973), 45(1), 61–78.
Martínez, B. M. T., Carmen Pérez-Fuentes, M., & Jurado, M. D. M. M. (2024). The influence of perceived social support on academic engagement among adolescents: the mediating role of self-efficacy. Anales de Psicología/Annals of Psychology, 40(3), 409-420.
Meidute-Kavaliauskiene, I., Y?ld?z, B., Çi?dem, ?., & ?in?ikait?, R. (2021). The effect of COVID-19 on airline transportation services: A study on service robot usage intention. Sustainability, 13(22), 12571.
Meyer-Waarden, L., Pavone, G., Poocharoentou, T., Prayatsup, P., Ratinaud, M., Tison, A., & Torné, S. (2020). How service quality influences customer acceptance and usage of chatbots?. SMR-Journal of Service Management Research, 4(1), 35-51.
Naz, S., Li, C., Zaman, U., & Rafiq, M. (2020). Linking proactive personality and entrepreneurial intentions: A serial mediation model involving broader and specific self-efficacy. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 166.
Northouse, P. G. (2018). Leadership: Theory and Practice (8th ed.). Thousand Oaks, CA: Sage Publications.
Nurjanah, D. L., & Harsono, H. (2024). The Influence of Entrepreneurship Education, Peer Influence, and Self-Efficacy on Students' Entrepreneurial Intentions. Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE), 7(3), 4476-4491.
Osman, Z., Mohamad, W., Mohamad, R. K., Mohamad, L., & Sulaiman, T. F. T. (2018). Enhancing students’ academic performance in Malaysian online distance learning institutions. Asia Pacific Journal of Educators and Education, 33, 19-28.
Purnomo, E. N., Imron, A., Wiyono, B. B., Sobri, A. Y., & Dami, Z. A. (2023). E-leadership, technology acceptance and technological self-efficacy: Its effect on teacher attitudes in virtual learning environments. Pegem journal of Education and Instruction, 13(4), 189-198.
Ringle, C. M., (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems. 116: 1865–1886.
Shmueli, G., Sarstedt, J.F., Hair, J.-H., Cheah, H., Ting, S., (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing. 53: 2322–2347.
Shmueli, G., Ray, J. M., Estrada, V., and Chatla, S. B. (2016). The elephant in the room: predictive performance of PLS models. Journal of Business Research, 69: 4552–4564.
Sreejith, P. M., & Sreejith, S. (2023). Exploring the role of cultural capital, ICT skills, and entrepreneurial self-efficacy in shaping entrepreneurial intention among women. Journal of Telecommunications and the Digital Economy, 11(2), 151-179.
Stewart, D., McWhirter, J., Sun, J., & Stewart, D. (2007). Development of population?based resilience measures in the primary school setting. Health education.
Susanti, S., & Ardi, A. (2022). The Effect of Digital Transformational Leadership, Creative Self-Efficacy on Innovative Behaviour Mediated by Perceived Organizational Support. JIIP-Jurnal Ilmiah Ilmu Pendidikan, 5(8), 3111-3120.
Trivedi, S. K., Patra, P., & Singh, S. (2022). A study on intention to use social media in higher education: the mediating effect of peer influence. Global Knowledge, Memory and Communication, 71(1/2), 52-69.
Zou, Y., Liu, S., Guo, S., Zhao, Q., & Cai, Y. (2023). Peer support and exercise adherence in adolescents: the chain-mediated effects of self-efficacy and self-regulation. Children, 10(2), 401.

Osman, Z. (2025). The Sky is the Limit: Maximize the Intention to Accept Artificial Intelligence-Enabled Transformations in the Airline Industry. International Journal of Academic Research in Business and Social Sciences, 15(1), 1254–1268.

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The Sky is the Limit: Maximize the Intention to Accept Artificial Intelligence-Enabled Transformations in the Airline Industry

Zahir Osman

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