Exploring Self-Determination Theory and its consequences in Hospitality Industry; Does Generative Artificial Intelligence Matters?

Muh. Rizal Rahmatillah (), Muhammad Ashoer, Moh. Zulkifli Murfat and Ackhriansyah Ahmad Gani
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Muh. Rizal Rahmatillah: Universitas Muslim Indonesia, Undergraduate Program
Muhammad Ashoer: Universitas Muslim Indonesia
Moh. Zulkifli Murfat: Universitas Muslim Indonesia
Ackhriansyah Ahmad Gani: Universitas Muslim Indonesia

A chapter in Proceedings of the 8th International Conference on Accounting, Management, and Economics (ICAME 2023), 2024, pp 271-286 from Springer

Abstract: Abstract This study seeks to create a developed predictive model that explores the impact of Self-Determination Theory (SDT) on motivation, in-role and extra-role performance within hospitality sector employees. To provide a novelty, this research integrates and examine the Generative Artificial Intelligence (GAI) as a moderating factor. An online self-administered survey was conducted and primary data were collected by randomly distributing questionnaire links through email and social media. A total of 200 hotel employees in Makassar City, Indonesia, were then chosen as respondents through purposive sampling. Employing Structural Equation Modeling-Partial Least Squares analysis, the findings revealed that all SDT dimensions (autonomy, competence, relatedness) had a positive and significant impact on employee work motivation. Furthermore, it was found that work motivation had a positive and significant influence on both in-role and extra-role performance. Lastly, the GAI moderator was observed to strengthen the direct relationships between these variables. The study also delves into the theoretical and practical significance of these findings and puts forward recommendations for future research.

Keywords: Self-Determination Theory; Motivation; In-Role Performance; Extra-Role Performance; Generative Artificial Intelligence; ChatGPT; Hospitality Sector; Human Resource Management (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-400-6_20

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DOI: 10.2991/978-94-6463-400-6_20

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