The Artificial Intelligence Moderation Impact Inside Tourism SMES’ Transactional Leadership and Organisational Performance: A Business Event Analysis
DOI:
https://doi.org/10.33649/pusaka.v6i2.592Keywords:
tourism, SME, transactional leadership, organisational performance, organisational culture, artificial intelligenceAbstract
Literature indicates that many studies are exploring organisational performance with an emphasis on both transformational and transactional leadership styles; unfortunately, this study finds that there are few empirical studies explaining the performance of SMEs, especially tourism SMEs from developing countries, with a focus on transactional leadership style and AI. In doing so, as a research novelty of this study, it is important to investigate the moderating effect of AI on the relationship between transactional leadership style and the performance of SMEs in emerging countries. Drawing on a sample of 192 tourism small and medium-sized enterprises from an emerging country, which is Indonesia, this study applies a quantitative research approach with a purposive sampling technique and analyses the research data through a structural equation modelling approach. The findings of this study reveal that transactional leadership positively and significantly influences organisational performance, with artificial intelligence serving as a positive and significant moderator. Specifically, the presence of artificial intelligence technologies enhances the effectiveness of transactional leadership by facilitating decision-making processes and improving operational efficiency. This study identifies that the extent of artificial intelligence integration is a moderating factor, recommending that organisations must strategically adopt artificial intelligence technologies to maximise leadership effectiveness. This research is also expected to contribute theoretically and managerially to the literature on leadership, organisational study, and technology by emphasising the critical moderating role of artificial intelligence in increasing organisational outcomes, offering practical implications for leaders aiming to leverage technology for improved performance.
References
Akbar, A., Idris, M. M., Kurniawan, A. W., Mustafa, M. Y., Yushar, N., Natsir, U., Darmawan, A., Angreyani, A. D., & Dewi. (2024). The resource-based view in the Asta Brata and organisational performance: A moderating approach of adaptability and innovation. Journal of Economics and Trade, 9(2), 50–57. https://doi.org/10.56557/jet/2024/v9i29034
Akbar, A., Mustafa, M. Y., Haeruddin, M. I. M., Mariñas-Acosta, C., Hasbiyadi, H., Alam, S., & Darmawinata, W. N. S. (2024). Days of future past: Scrutinising the artificial intelligence impact on the leadership of internationalising SMEs. Asian Journal of Economics, Business and Accounting, 24(5), 53–59. https://doi.org/10.9734/ajeba/2024/v24i5129
Ampauleng, A., & Abdullah, S. (2023). The resource-based view of tourism management in investigating the critical moderation role of leadership inside SMEs and VUCA markets. African Journal of Hospitality, Tourism, and Leisure, 12(4), 1359–1369. https://www.ajhtl.com/uploads/7/1/6/3/7163688/article_12_12_4_1359-1369.pdf
Amran, A. D., Syahid, R., & Mustafa, M. Y. (2024). Digital leadership impacts on a village-owned enterprise performance: A moderation effect of artificial intelligence. South Asian Journal of Social Studies and Economics, 21(11), 74–80. https://doi.org/10.9734/sajsse/2024/v21i11902
Antunes, M. G., Quirós, J. T., & Justino, M. D. R. F. (2017). The relationship between innovation and total quality management and the innovation effects on organizational performance. International Journal of Quality & Reliability Management, 34(9), 1474–1492. https://doi.org/10.1108/IJQRM-02-2016-0025
Barney, J. B. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–121.
Bass, B. M., Avolio, B. J., Jung, D. I., & Berson, Y. (2003). Predicting unit performance by assessing transformational and transactional leadership. Journal of Applied Psychology, 88(2), 207–218.
Bell, E., Bryman, A., & Harley, B. (2022). Business research methods. Oxford University Press.Burns, J. M. (1978). Leadership and followership.
de Araujo, L. M., Priadana, S., Paramarta, V., & Sunarsi, D. (2021). Digital leadership in business organizations. International Journal of Educational Administration, Management, and Leadership, 2(1), 45–56. https://doi.org/10.51629/ijeamal.v2i1.18
Dong, B. (2023). A systematic review of the transactional leadership literature and future outlook. Academic Journal of Management and Social Sciences, 2(3), 21–25.
Gupta, P., Lakhera, G., & Sharma, M. (2024). Examining the impact of artificial intelligence on employee performance in the digital era: An analysis and future research direction. The Journal of High Technology Management Research, 35(2), 100520. https://doi.org/10.1016/j.hitech.2024.100520
Haeruddin, M. I. M., Akbar, A., Dipoatmodjo, T. S., Kurniawan, A. W., & Abadi, R. R. (2022). The toxicity of our city: The effect of toxic workplace environment on employee’s performance. International Journal of Social Science and Business, 6(2), 183–190. https://doi.org/10.23887/ijssb.v6i2.45297
Howard, J. (2019). Artificial intelligence: Implications for the future of work. American Journal of Industrial Medicine, 62(11), 917–926. https://doi.org/10.1002/ajim.23037
Judge, T. A., & Piccolo, R. F. (2004). Transformational and transactional leadership: A meta-analytic test of their relative validity. Journal of Applied Psychology, 89(5), 755–768.
Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard: Measures that drive performance. Harvard Business Review, (January–February), 71–79.
Kirkpatrick, S. A., & Locke, E. A. (1996). Direct and indirect effects of three core charismatic leadership components on performance and attitudes. Journal of Applied Psychology, 81(1), 36–51.
Melián-González, S., Bulchand-Gidumal, J., & Gonzalez Lopez-Valcarcel, B. (2015). New evidence of the relationship between employee satisfaction and firm economic performance. Personnel Review, 44(6), 906–929.
Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence, 267, 1–38.
Mustafa, M. Y., Akbar, A., Razak, N. R., Angreyani, A. D., Abadi, R. R., & Nurjannah, N. (2023). The rise of Skywalker: The critical vehemence of customer loyalty inside the e-commerce platform. Asian Journal of Education and Social Studies, 41(2), 57–67. https://doi.org/10.9734/ajess/2023/v41i2893
Mustafa, M. Y., Shahnyb, N. S., & Panggabean, B. L. E. (2024). Literature-based study: The role of fintech on MSME marketing performance. Entrepreneurship, Management, and Business Research Journal, 1(1), 11–15. https://dailymakassar.id/ejournal/index.php/embun/article/view/67
Paais, M., & Pattiruhu, J. R. (2020). Effect of motivation, leadership, and organizational culture on satisfaction and employee performance. The Journal of Asian Finance, Economics and Business, 7(8), 577–588. https://doi.org/10.13106/jafeb.2020.vol7.no8.577
Paesano, A. (2023). Artificial intelligence and creative activities inside organizational behavior. International Journal of Organizational Analysis, 31(5), 1694–1723. https://doi.org/10.1108/IJOA-09-2020-2421
Pereira, V., Hadjielias, E., Christofi, M., & Vrontis, D. (2023). A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective. Human Resource Management Review, 33(1), 100857. https://doi.org/10.1016/j.hrmr.2021.100857
Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of Management Review, 46(1), 192–210. https://doi.org/10.5465/amr.2018.0072
Ramli, A. H. (2018). Compensation, job satisfaction and employee performance in health services. Business and Entrepreneurial Review, 18(2), 177–186.
Raziq, M. M., Jabeen, Q., Saleem, S., Shamout, M. D., & Bashir, S. (2024). Organizational culture, knowledge sharing and organizational performance: A multi-country study. Business Process Management Journal, 30(2), 586–611. https://doi.org/10.1108/BPMJ-07-2023-0549
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Skopak, A., & Hadzaihmetovic, N. (2022). The impact of transformational and transactional leadership style on employee job satisfaction. International Journal of Business and Administrative Studies, 8(3), 113–121.
Smith, A. M., & Green, M. (2018). Artificial intelligence and the role of leadership. Journal of Leadership Studies, 12(3), 85–87. https://doi.org/10.1002/jls.21605
Titareva, T. (2021). Leadership in an artificial intelligence era.
UMKM, K. (2024). Data UMKM. Kementerian Koperasi dan UMKM Republik Indonesia. https://umkm.go.id/data-umkm/?PE2f8FyqpfrsAmF9ea0G47Qy8oX2AIs9VEfrQ1c7ePcElnqy8b
Voss, C. A., Åhlström, P., & Blackmon, K. (1997). Benchmarking and operational performance: Some empirical results. International Journal of Operations & Production Management, 17(10), 1046–1058.
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