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Performance Expectancy, Perceived Risk, and Organizational Support in Hotel Managers’ Generative AI Adoption Intentions in Semarang Maharsa Pradityatma; Aryo Nugroho
Data : Journal of Information Systems and Management Vol. 4 No. 3 (2026): July 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v4i3.2005

Abstract

Generative artificial intelligence (AI) offers potential assistance with hotel managerial work, but prospective use may depend on expected benefits, perceived risks, and workplace support. This study examined these three factors jointly in relation to hotel managers’ generative AI adoption intentions in Semarang, Indonesia. A cross-sectional, purposively specified survey dataset contained 220 managers and 16 five-point questionnaire items, with recorded survey dates from December 2025 to February 2026. Reflective Mode A partial least squares structural equation modeling was estimated, with 10,000 bootstrap resamples and repeated ten-fold holdout assessment. Performance expectancy was positively associated with intention (β = 0.456, 95% CI [0.358, 0.552]), perceived risk was negatively associated (β = −0.225, 95% CI [−0.326, −0.127]), and organizational support was positively associated (β = 0.263, 95% CI [0.161, 0.361]); all p values were below .001. The model explained 43.1% of intention variance, and item-level holdout Q²_predict values ranged from 0.250 to 0.350. Performance expectancy had the largest conditional effect size. The findings support examining expected work benefits alongside risk appraisal and technology-specific organizational support. They concern stated intentions rather than observed adoption or performance. Hotels may consider task-focused demonstrations, learning support, and guidance for reviewing AI outputs. Cross-sectional self-report measurement, nonprobability sampling, and unavailable verification of hotel membership limit causal and organizational inference.
Emotional Exhaustion, Perceived Organizational Support, and Work Engagement among Frontline Hotel Employees in Yogyakarta, Indonesia Istamkhuja Olimovich Davronov; Dwi Nova Wijaya; Maharsa Pradityatma; Abdul Rahim Zumrah
Psychosocia : Journal of Applied Psychology and Social Psychology Vol. 4 No. 2 (2026): April 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/psychosocia.v4i2.1984

Abstract

Frontline hotel employees routinely face intensive guest interactions, emotional demands, workload fluctuations, and high service expectations. Sustaining work engagement under these conditions may depend on both employees' psychological depletion and the organizational resources available to them. Existing research commonly examines burnout or organizational support separately, whereas fewer studies assess their relative and incremental contributions to frontline employee engagement. Drawing on the Job Demands–Resources (JD-R) perspective, this cross-sectional quantitative survey involved 260 frontline employees from ten star-rated hotels in Yogyakarta City, Indonesia, recruited through purposive sampling from March to July 2026. Hierarchical multiple regression predicted work engagement from employee and job characteristics (Model 1), emotional exhaustion (Model 2), and perceived organizational support (Model 3). Emotional exhaustion was negatively correlated with work engagement (r = −.40), whereas perceived organizational support was positively correlated with it (r = .43). Employee and job characteristics explained negligible variance (R² = .013). Emotional exhaustion added .166 to R², and perceived organizational support added a further .120; in the final model, both emotional exhaustion (β = −.34) and perceived organizational support (β = .36) were independent predictors (R² = .299). Results were unchanged under heteroscedasticity-consistent standard errors. The study integrates a psychological strain indicator and an organizational resource factor within the JD-R perspective, indicating that hotels should reduce exhaustion and strengthen perceived support simultaneously.
Cultural Values, Mutual Assistance, and Psychological Resilience among Rural Residents of Bayan Village, North Lombok, Indonesia Raisun Mathew; Madam Wanda Kiyah George Albert; Maharsa Pradityatma
Psychosocia : Journal of Applied Psychology and Social Psychology Vol. 4 No. 3 (2026): July 2026
Publisher : PT Penerbit Ilmiah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/psychosocia.v4i3.1986

Abstract

Psychological resilience is increasingly recognised as a socially and culturally shaped process rather than a purely individual trait. This qualitative phenomenological study examined how residents of Bayan Village, North Lombok, Indonesia, perceive and experience cultural values and mutual assistance in relation to psychological resilience. Ten adult participants were purposively selected using maximum variation sampling and engaged in semi-structured in-depth interviews between February and May 2026. Data were analysed through reflexive thematic analysis, yielding five themes: shared cultural values as a community foundation; mutual assistance as practical and emotional support; social connectedness as psychological strength; meaning-making and adaptation during difficulties; and the dual nature of communal expectations. Residents described receiving various forms of help — including labour, food, information, flexible credit, and moral presence — that reduced feelings of isolation and increased reassurance. However, social obligations, limited privacy, social judgement, and unequal capacities to contribute also created strain. Participants emphasised self-reliance, personal boundaries, and adapting support practices to changing social conditions. The findings suggest that psychological resilience in this community is socially and culturally embedded rather than individually determined. Community mental health interventions should build on existing local support systems while remaining attentive to their limitations.