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The Effect of Technostress on Turnover Intention with Burnout as a Mediation in Gen Z in the City of Surabaya Nanda Putri Kandita; Sarwari Sarwari; Galuh Ajeng Ayuningtiyas; Priyanto Priyanto
International Journal Business, Management and Innovation Review Vol. 3 No. 1 (2026): February: International Journal Business, Management and Innovation Review
Publisher : Universitas Veteran Bangun Nusantara Sukoharjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijbmir.v3i1.181

Abstract

Using burnout as a mediating variable, this study looks at how technostress affects turnover intention among Gen Z workers in Surabaya. Based on the city's rapid digitization and widespread internet access, the study examines how technological advances can boost productivity and create difficulties associated with technology use. Technostress is defined as an unpleasant psychological state that results from a person's inability to adapt to the demands and advances of technology. Burnout, a condition of physical, emotional, and mental exhaustion brought on by ongoing job stress, is said to be the result of this strain for Gen Z, often known as "digital natives," who grew up with technology. Burnout can afterward result in the urge to quit. This study used a causal research design and a quantitative approach. An online survey was used to collect data, and Gen Z respondents in Surabaya were presented based on predetermined criteria, such as age and intention to utilize technology for employment. Data analysis tests the direct and indirect correlations between variables using structural equation modeling (SEM) based on Smart-PLS. The study's findings showed that technostress greatly reduces burnout. Additionally, it has been demonstrated that burnout greatly increases the intention to leave. The association between technostress and turnover intention is totally mediated by burnout, according to key findings, which means that increasing burnout fully explains how technostress affects turnover intention. The study's findings highlight the significance of organizational policies that go beyond limiting digital exposure to address burnout, particularly among Gen Z. In order to better understand the causal link and context of Gen Z's experience with technostress and burnout in an increasingly digital workplace, it is suggested that future studies employ a longitudinal gradual approach or a combination of qualitative and quantitative methodologies.
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.