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This study proposes a conceptual model linking e-Kanban adaptation and forecast integration to lean manufacturing performance. Grounded in Negoro’s Differentiation System and the Contingency-Based Resource-Based View (RBV), the model introduces Forecast Integration Effectiveness (FIE) as a key construct reflecting how suppliers interpret, trust, and act upon forecast information, particularly Monthly Demand Forecast Operations (MDFO). A sequential exploratory mixed-methods design is adopted, beginning with qualitative verification at the focal company and advancing to survey-based validation among Indonesian suppliers. The model contributes to theory by operationalizing forecast execution fit and offers practical insights into improving lean supply chain responsiveness through better forecast usage.

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Quantifying Forecast and e-Kanban Adaptation Fit: A Contingency-Based Resource-Based View and Differentiation System Approach

  • 会议论文

  • 发表日期：

    2026年

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  • Christian Ricky,
  • Nobuaki Minato,
  • Kuniaki Tanaka,
  • Manabu Sawaguchi

摘要

This study proposes a conceptual model linking e-Kanban adaptation and forecast integration to lean manufacturing performance. Grounded in Negoro’s Differentiation System and the Contingency-Based Resource-Based View (RBV), the model introduces Forecast Integration Effectiveness (FIE) as a key construct reflecting how suppliers interpret, trust, and act upon forecast information, particularly Monthly Demand Forecast Operations (MDFO). A sequential exploratory mixed-methods design is adopted, beginning with qualitative verification at the focal company and advancing to survey-based validation among Indonesian suppliers. The model contributes to theory by operationalizing forecast execution fit and offers practical insights into improving lean supply chain responsiveness through better forecast usage.