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Orientation: Employee retention remains an important concern in organisational and industrial psychology as Generation Z becomes increasingly visible in the workforce. In Indonesia, the applicability of established retention measures requires empirical examination. Research purpose: This study examines the psychometric properties of the Indonesian version of the Intent to Stay Scale (ITS) among Generation Z employees in Indonesia, specifically internal consistency reliability and convergent validity. Motivation for the study: Although intent to stay is widely used as an indicator of employee retention, evidence regarding measurement properties across contexts remains limited. This is particularly relevant for Generation Z employees in Indonesia. Research approach/design and method: A structured contextual harmonisation and pre-testing process was followed by field testing and psychometric evaluation. Data were collected through an online survey from 461 Generation Z employees in Indonesia who met the criteria and passed response-quality screening. Item-level analyses were conducted using jamovi, while the reflective measurement model was evaluated using PLS-SEM with SmartPLS 3. Main findings: All six ITS items demonstrated acceptable outer loadings, ranging from 0.739 to 0.897. The scale demonstrated satisfactory internal consistency reliability, with Cronbach’s alpha of 0.915, rho_A of 0.923, and composite reliability of 0.934. The average variance extracted was 0.704, providing evidence of convergent validity. Intent to Stay Scale 6 showed the lowest loading but remained above the threshold and was retained. Practical/managerial implications: The findings suggest that the Indonesian ITS may provide useful information when assessing intention to stay among Generation Z employees. Contribution/value-add: This study provides preliminary, context-specific evidence regarding the measurement properties of the Indonesian ITS among Generation Z employees in Indonesia and highlights the importance of evaluating retention measures within contexts.
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Zahra et al. (2026) studied this question.
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