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Exploring the Influence of Smart Tourism Technology and e-WOM on Tourist Citizenship Behavior in Urban Ecotourism Galuh Ajeng Ayuningtiyas; Fedianty Augustinah; dian ferriswara; Priyanto; Amirul Mustofa
JAMI: Jurnal Ahli Muda Indonesia Vol. 7 No. 1 (2026): Juni 2026
Publisher : Akademi Komunitas Negeri Putra Sang Fajar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46510/jami.v7i1.411

Abstract

Introduction: The rapid development of digital technology has significantly transformed the tourism industry, particularly through the implementation of smart tourism technology and the increasing influence of electronic word-of-mouth (e-WOM). These digital factors are considered important in shaping tourist behavior, including Tourist Citizenship Behavior (TCB), which reflects voluntary actions such as recommending destinations, helping other tourists, and providing feedback. This study aims to examine the influence of smart tourism technology and e-WOM on TCB in the context of the Mangrove Botanical Garden Surabaya. Methods: This study employs a quantitative approach using a cross-sectional survey design. Data were collected through an online questionnaire from 382 respondents, determined using the Krejcie and Morgan sampling table. The sampling technique used was purposive sampling, targeting tourists who had visited the destination and were exposed to digital tourism platforms. Data were analyzed using multiple linear regression with SPSS, including validity, reliability, classical assumption, and hypothesis testing. Results: The results show that smart tourism technology and e-WOM simultaneously have a positive and significant effect on Tourist Citizenship Behavior (F = 77.156; p < 0.05). Partially, smart tourism technology has a positive and significant effect on TCB (β = 0.607; p < 0.05), while e-WOM has a positive but not significant effect (β = 0.228; p > 0.05). The coefficient of determination (R²) indicates that 61.6% of TCB is explained by the independent variables. Smart tourism technology is identified as the most dominant factor influencing TCB. Discussion: These findings highlight the critical role of smart tourism technology in enhancing tourist engagement and encouraging voluntary behaviors that support destination sustainability. While e-WOM contributes to shaping perceptions, its direct influence on behavioral outcomes is limited. The study emphasizes the importance of digital experience in fostering active tourist participation and provides insights for improving tourism management strategies in ecotourism destinations.
Workload and Stress: Their Effects on Job Satisfaction at PT. Inhutani I Umi Gresik Listin Anggraini; Dian Ferriswara; Galuh Ajeng Ayuningtiyas; Anita Asnawi
Harmony Management: International Journal of Management Science and Business Vol. 2 No. 3 (2025): International Journal of Management Science and Business
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/harmonymanagement.v2i3.357

Abstract

This study examines the impact of workload and work stress on employee job satisfaction at PT Inhutani I UMI Gresik, a wood-processing company operating under Perum Perhutani. The research employed a quantitative design with an associative (causal) approach to identify the extent to which workload and stress contribute to variations in job satisfaction. Data were collected through questionnaires distributed to 48 employees selected using a simple random sampling method. The analytical process involved validity and reliability testing, classical assumption tests, multiple linear regression, as well as t-tests, F-tests, and the coefficient of determination (R²). The results indicate that workload and work stress, when considered simultaneously, have a significant influence on job satisfaction. However, partial testing revealed that workload did not exert a significant effect, while work stress had a statistically significant negative impact on satisfaction. Regression analysis further demonstrated that work stress emerged as the dominant predictor, accounting for a larger proportion of variance compared to workload, as reflected by the higher beta coefficient and partial determination value. These findings suggest that while workload may serve as a motivator when maintained within reasonable limits, unmanaged stress arising from role ambiguity, conflicting demands, and organizational pressures significantly undermines job satisfaction. The study underscores the importance of stress management strategies within organizations, particularly in high-demand industries such as forestry and wood processing. Practical implications include the need for supportive leadership, effective communication, realistic target-setting, and the implementation of employee assistance programs. By addressing stress more effectively, organizations can enhance employee well-being, foster greater job satisfaction, and ultimately improve overall organizational performance.