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<p>This study aims to explore and prioritize&#xa0;the strategic decisions and uncertainties faced by Indian Railways (IR) and demonstrate the connection between these aspects to improve competitive business performance. The study utilizes an extensive examination of existing literature, a well-organized questionnaire, and interviews to collect qualitative data from experienced professionals in the railway industry who possess influential decision-making roles. The analysis employs Fuzzy TOPSIS and Fuzzy DEMATEL methodologies. The sensitivity analysis was used to validate the findings of the investigation. The results indicate that the most crucial performance element is the 'Variety of train/railway services (Changeability/Dynamism)' with the highest TOPSIS rank (18.69724), followed by 'Emerging railway technologies' (17.54527). Conversely, 'Scarcity of manpower' is identified as the least impactful factor (17.17989). Fuzzy DEMATEL analysis reveals that railway policies (17.56527), efforts for survival and growth (19.61895), service differentiation (19.57200), cost minimization (19.40810), and resource scarcity (17.69742) serve as key causal factors impacting other performance elements. Emerging railway technologies and variations in service prices are also identified as relevant factors. The findings provide vital information for decision-makers and policymakers to prioritize and address crucial performance concerns in the Indian railway system. To improve its efficiency and effectiveness in complex and uncertain contexts, it should concentrate on key areas such as railway policies, service differentiation, and developing technology. This study is innovative as it provides a unique and original analysis of the strategic and business environment elements within the Indian Railways context, focusing on identification, prioritization, and linkage.</p>

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Prioritizing Strategic Decisions in Indian Railways: A Fuzzy MCDM Approach for Competitive Performance

  • 期刊论文

  • 发表日期：

    2025年7月18日

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  • Vinay Singh,
  • Megha,
  • Sachin Kumar,
  • Mahendra Sahu

摘要

This study aims to explore and prioritize the strategic decisions and uncertainties faced by Indian Railways (IR) and demonstrate the connection between these aspects to improve competitive business performance. The study utilizes an extensive examination of existing literature, a well-organized questionnaire, and interviews to collect qualitative data from experienced professionals in the railway industry who possess influential decision-making roles. The analysis employs Fuzzy TOPSIS and Fuzzy DEMATEL methodologies. The sensitivity analysis was used to validate the findings of the investigation. The results indicate that the most crucial performance element is the 'Variety of train/railway services (Changeability/Dynamism)' with the highest TOPSIS rank (18.69724), followed by 'Emerging railway technologies' (17.54527). Conversely, 'Scarcity of manpower' is identified as the least impactful factor (17.17989). Fuzzy DEMATEL analysis reveals that railway policies (17.56527), efforts for survival and growth (19.61895), service differentiation (19.57200), cost minimization (19.40810), and resource scarcity (17.69742) serve as key causal factors impacting other performance elements. Emerging railway technologies and variations in service prices are also identified as relevant factors. The findings provide vital information for decision-makers and policymakers to prioritize and address crucial performance concerns in the Indian railway system. To improve its efficiency and effectiveness in complex and uncertain contexts, it should concentrate on key areas such as railway policies, service differentiation, and developing technology. This study is innovative as it provides a unique and original analysis of the strategic and business environment elements within the Indian Railways context, focusing on identification, prioritization, and linkage.