The role of business transformation strategy in Indonesian regional development banks

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Rapid advances in technology and shifting customer expectations have intensified competition in the financial industry, forcing Indonesia’s banking sector to adopt adaptive and innovative strategies to remain competitive in an increasingly complex and uncertain environment. This study investigates the role of business transformation strategy in organizational performance. Employing a quantitative approach using Structural Equation Modeling (SEM), the study analyzes data collected from 255 Branch Managers across 27 Regional Development Banks in Indonesia. The coefficient of determination for the business transformation strategy was 0.69, indicating that 69% of its variance could be explained by environmental dynamism, transformational leadership, talent development, and digital adoption. Similarly, the R2 value for organizational performance was 0.51, indicating that digital adoption and business transformation strategy accounted for 51% of its variance. The findings reveal that environmental dynamism (t-value 1.85) and talent development (t-value 1.58) do not positively affect business transformation strategy. Instead, transformational leadership (t-value 2.38) and digital adoption (t-value 4.28) positively affect business transformational strategy. Furthermore, business transformation strategy (t-value 3.10) positively affects organizational performance. Meanwhile, business transformation strategy does not mediate the influences of environmental dynamism, talent development, and transformational leadership on organizational performance but strongly mediates digital adoption. This study emphasizes that business transformation strategy is the cornerstone for aligning digital adoption and leadership approaches to drive organizational performance. This study contributes to understanding business transformation strategy in the banking industry by providing technology-driven strategic insights from Indonesian Regional Development Banks.

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    • Figure 1. Research model
    • Table 1. Demographic profile
    • Table 2. Test of multivariate normality for continuous variables
    • Table 3. Confirmatory factor analysis result
    • Table 4. Goodness of fit assessment
    • Table 5. Structural equation result
    • Table 6. Hypothesis testing result
    • Table 7. Mediation effect testing result
    • Table A1. Questionnaire list
    • Table B1. Result of confirmatory factor analysis (first-order)
    • Table B2. Result of confirmatory factor analysis (second-order)
    • Table B3. Result of confirmatory factor analysis (dropped LGP)
    • Conceptualization
      Audy Thuda, Mohammad Hamsal, Dezie Leonarda Warganegara, Pantri Heriyati
    • Data curation
      Audy Thuda
    • Formal Analysis
      Audy Thuda
    • Investigation
      Audy Thuda
    • Methodology
      Audy Thuda, Mohammad Hamsal, Dezie Leonarda Warganegara, Pantri Heriyati
    • Project administration
      Audy Thuda
    • Resources
      Audy Thuda
    • Software
      Audy Thuda
    • Supervision
      Audy Thuda, Mohammad Hamsal, Dezie Leonarda Warganegara, Pantri Heriyati
    • Validation
      Audy Thuda
    • Visualization
      Audy Thuda
    • Writing – original draft
      Audy Thuda
    • Writing – review & editing
      Audy Thuda, Mohammad Hamsal, Dezie Leonarda Warganegara, Pantri Heriyati