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All Journal Annals of Human Resource Management Research Vifada Management and Social Sciences
Hanung Eka Atmaja
Universitas Tidar, Magelang, Indonesia
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Physics Social Sciences

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Cultural Intelligence and Gastronomy for Talent Sustainability in Regenerative Tourism: Evidence from Borobudur Hanung Eka Atmaja; Izza Mafruhah; Eki Melina Widanti; Sofyan Ashari Nur; Agustya Syakira; Dimas Alfareza
Annals of Human Resource Management Research Vol. 6 No. 1 (2026): March
Publisher : Goodwood Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/ahrmr.v6i1.3641

Abstract

Purpose: This study examines the influence of cultural intelligence and local gastronomy on talent sustainability and analyzes their implications for regenerative tourism development in Borobudur heritage destinations. Research Methodology: A quantitative, cross-sectional survey was conducted among tourism stakeholders in Borobudur. Using proportional stratified random sampling, 320 valid responses were collected between May and July 2025. Data were analyzed using Partial Least Squares–Structural Equation Modelling (PLS-SEM) with SmartPLS 4, including measurement model assessment and bootstrapping for hypothesis testing. Results: Cultural intelligence and local gastronomy significantly and positively influence talent sustainability. Talent sustainability strongly predicts regenerative tourism development and mediates the relationships between cultural intelligence, local gastronomy, and regenerative outcomes. The findings indicate that sustained human capability development is central to achieving restorative tourism practices. Conclusions: Human resource management strategies grounded in cultural competence and gastronomy-based local identity enhance talent retention and support the transition from sustainable to regenerative tourism. Limitations: This study is limited to a single heritage destination and relies on cross-sectional, self-reported data, which may constrain generalizability and introduce potential common method bias. Contributions: This research provides an integrated empirical model linking cultural intelligence, gastronomy, sustainable HRM, and regenerative tourism within a UNESCO heritage context.
The Adoption of ChatGPT in SME Human Resource Practices: Integrating TOE–TAM with Trust as a Mediator and Religiosity as a Moderator Hanung Eka Atmaja; Suddin Lada; Shinta Ratnawati; Miftachul Mujib; Satrio Tegar Sadewo; Raina Dewi Aldianti
Vifada Management and Social Sciences Vol. 4 No. 1 (2026): January - June
Publisher : Yayasan Vifada Cendikia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70184/5q341684

Abstract

Purpose: The development of artificial intelligence technology, particularly ChatGPT, presents both opportunities and challenges for Small and Medium-sized Enterprises (SMEs) in enhancing the efficiency of human resource management practices. However, the level of adoption of this technology is still influenced by various complex factors, not only technical but also psychological and individual values. This study aims to analyse the factors influencing the adoption of ChatGPT in SMEs through the integration of the Technology–Organisation–Environment (TOE) framework and the Technology Acceptance Model (TAM), whilst considering the mediating role of trust and the moderating role of religiosity. Research Design and Methodology: This study employs a quantitative approach using a survey method targeting SME operators in Central Java, East Java, and the Special Region of Yogyakarta (DIY). The sampling technique utilised purposive sampling, with a sample size of 200 SME operators meeting the study criteria. Data were analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM) with the assistance of SmartPLS software. Findings and Discussion: The results indicate that technological, organisational, and environmental factors, as well as perceptions of ease and utility, play a role in shaping trust in ChatGPT. This trust serves as the primary determinant in driving technology adoption, whilst religiosity was found to strengthen the relationship between trust and usage decisions. These findings confirm that ChatGPT adoption among SMEs is influenced not only by functional aspects but also by psychological factors and individual values. Implications: The implications of this research contribute to the development of a more context-specific technology adoption model based on artificial intelligence, whilst providing practical recommendations for SME stakeholders, technology developers, and policymakers in promoting the effective and sustainable utilisation of ChatGPT.
Co-Authors Agustya Syakira Dimas Alfareza Eki Melina Widanti Izza Mafruhah Miftachul Mujib Raina Dewi Aldianti Satrio Tegar Sadewo Shinta Ratnawati Sofyan Ashari Nur Suddin Lada