Dataset on Psychological Capital and Pro-Environmental Decision-Making among SME Leaders in Vietnam
Description
This dataset investigates the relationship between psychological capital (PsyCap) and pro-environmental decision-making (PEDI) among 400 owners and senior managers of small and medium-sized enterprises (SMEs) in Vietnam. Drawing on Conservation of Resources (COR) theory, it examines COR as a mediator and Policy and Institutional Support (PIS) as a moderator. Data were collected via a structured questionnaire using purposive sampling across eight business sectors and three geographic regions. T
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The target population was owners and senior managers (CEOs, Directors, or equivalent positions) of small and medium-sized enterprises (SMEs) operating in Vietnam. A purposive sampling technique was employed to recruit participants from eight business sectors and three geographic regions (Northern, Central, and Southern Vietnam). A total of 400 valid responses were collected. A structured questionnaire was designed in both English and Vietnamese. All measurement scales were adapted from established sources: Psychological Capital (PsyCap): 12-item scale by Luthans et al. (Hope, Self-Efficacy, Resilience, Optimism) Pro-Environmental Decision-Making (PEDI) Conservation of Resources (COR) as mediator Policy and Institutional Support (PIS) as moderator The questionnaire underwent pilot testing and was reviewed by academic experts for content validity. Data were cleaned for missing values, outliers, and normality assumptions using SPSS version 26/27 or higher. Common method bias was assessed using Harman’s single-factor test and full collinearity test (Kock, 2015). Data were prepared in both SPSS (.sav) and SmartPLS (.xlsx / .csv) formats. Partial Least Squares Structural Equation Modelling (PLS-SEM) was performed using Python, align with SmartPLS 4 software. Measurement model assessment: reliability (Cronbach’s α, composite reliability), convergent validity (AVE), and discriminant validity (HTMT ratio, Fornell-Larcker criterion). Structural model assessment: path coefficients, t-values, p-values, effect sizes (f²), predictive relevance (Q²), and moderation/mediation analysis using a bootstrapping procedure (5,000 resamples).
Institutions
- FPT UniversityHanoi, Hanoi