Job crafting and contextual performance in Indonesian banking: A sequential structural model

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Type of the article: Research Article

Abstract
Commercial banking employees are increasingly expected to exceed formal role requirements, yet how proactive work behavior relates to sustained extra-role performance remains poorly understood. This study tested whether job crafting is associated with contextual performance through a sequential chain in which work engagement and thriving at work were positioned as a proximal and a more distal correlate, respectively. Data were collected through a cross-sectional survey of 245 full-time employees across ten commercial banks in Medan, Indonesia, and analyzed using partial least squares structural equation modeling (PLS-SEM) with second-order reflective constructs. All three hypothesized structural paths were statistically significant: job crafting was positively associated with work engagement (β = 0.540), engagement with thriving (β = 0.530), and thriving with contextual performance (β = 0.520), all large effects (f2 = 0.368-0.414), together explaining 27.4%–30.0% of the variance in the endogenous constructs. The corresponding sequential indirect effects were also significant (job crafting-thriving: 0.286; engagement-performance: 0.275; job crafting-performance via both intervening variables: 0.149; all 95% CIs excluding zero). Because the model did not simultaneously estimate the corresponding direct paths, these indirect effects are reported as sequential associations rather than as evidence of a verified mediating mechanism, and, given the cross-sectional design, the ordering of engagement and thriving reflects a theoretical assumption rather than a demonstrated temporal sequence. With this caveat, the findings suggest that HR practitioners in banking and similar service contexts should pair structural support for job crafting with explicit developmental follow-through.

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    • Figure 1. Structural model results: Standardized path coefficients and R2 values
    • Table 1. Respondent characteristics (N = 245)
    • Table 2. Non-response bias: Comparison of early and late respondents
    • Table 3. Outer loadings, composite reliability, Cronbach’s alpha, and AVE: second-order constructs
    • Table 4. Discriminant validity: Fornell-Larcker criterion and HTMT ratios, second-order constructs
    • Table 5. Direct effects: Hypothesis testing results
    • Table 6. Control variable path coefficients
    • Table 7. Sequential path analysis: Indirect associations
    • Table 8. Variance explained and predictive relevance: Endogenous constructs
    • Table A1. Construct structure, item allocation, wording, and sources
    • Table B1. Control variable definitions and coding
    • Conceptualization
      Supriadi, Sumitro Sarkum, Yossie Rossanty
    • Formal Analysis
      Supriadi, Nangkula Utaberta, Yossie Rossanty
    • Investigation
      Supriadi, Sumitro Sarkum, Yossie Rossanty
    • Methodology
      Supriadi, Nangkula Utaberta, Sumitro Sarkum, Yossie Rossanty
    • Software
      Supriadi, Sumitro Sarkum
    • Visualization
      Supriadi, Sumitro Sarkum, Yossie Rossanty
    • Writing – original draft
      Supriadi, Nangkula Utaberta, Sumitro Sarkum, Yossie Rossanty
    • Writing – review & editing
      Supriadi, Nangkula Utaberta, Sumitro Sarkum, Yossie Rossanty
    • Data curation
      Nangkula Utaberta, Sumitro Sarkum
    • Supervision
      Nangkula Utaberta
    • Validation
      Sumitro Sarkum