The role of managerial capability on operational performance through supply chain digitalization and adaptability
Bibliographic record
Abstract
Changes in the global business environment constrain companies to adopt digital technology to enhance their performance and competitiveness. This study aims to analyze the role of managerial capability on operational performance through supply chain digitalization and supply chain adaptability in manufacturing companies in Indonesia. Managerial capability is a key factor that enables organizations to design effective strategies, allocate resources efficiently, and foster internal collaboration and external partnerships. The study has distributed questionnaires to 117 respondents from various middle and top managerial functions within the manufacturing company. The questionnaire was designed using a five-point Likert scale and distributed offline and online using a Google Form link. Data analysis employed Partial Least Squares – Structural Equation Modeling (PLS-SEM) to examine the outer model and inner model. The results indicate that managerial capability has a significant impact on supply chain digitalization and supply chain adaptability, but does not directly affect operational performance. Instead, the effect of managerial capability on operational performance is mediated by supply chain adaptability and the combination of supply chain digitalization and adaptability. Supply chain digitalization plays a crucial role in enhancing supply chain adaptability, ultimately leading to a positive impact on operational performance. These findings confirm that supply chain digitalization not only increases the speed of information flow and transparency but also strengthens the company's ability to adapt to market dynamics. The practical implications of this research are the need for manufacturing companies to continuously develop managerial competencies that support digital technology investments, strengthen an adaptive organizational culture, and foster synergy between internal and external functions. For academics, this research provides a conceptual contribution in explaining the mediating relationship between managerial capabilities, supply chain digitalization, supply chain adaptability, and operational performance in the era of digital transformation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".