供应链
敏捷软件开发
过程管理
中小企业
业务
独创性
知识管理
价值(数学)
计算机科学
营销
创造力
软件工程
财务
机器学习
政治学
法学
作者
H. Mahesh Prabhu,Amit Kumar Srivastava,K.C. Mukul Muthappa
出处
期刊:Business Process Management Journal
[Emerald (MCB UP)]
日期:2024-05-04
卷期号:30 (3): 754-769
被引量:1
标识
DOI:10.1108/bpmj-06-2023-0413
摘要
Purpose The dynamic business environment and intense competition have mandated agility in operations for manufacturing firms. Effective inter-organizational collaboration can make operations more agile. This paper develops an interpretive model to explore the effect of supply chain collaboration (SCC) on supply chain agility (SCA) and, subsequently, on business performance. Design/methodology/approach A hierarchical model that illustrates the relationship between SCC, SCA and firm performance components is developed using total interpretative structural modeling (TISM). Also, statistical validation of the model has been performed. Findings The results indicate that the vision and alertness of the firm on the strategic front promote collaboration between supply chain partners. This creates operational agility, helping the firm to absorb fluctuations in demand, thereby enhancing business performance. Research limitations/implications The opinion of most respondents was considered to develop the TISM framework over the fuzzy one, which necessitates a significantly more extensive data set. However, multiple discussions with participants can eliminate the prejudice of the majority approach. Also, the paper's development and validation were restricted to Indian manufacturing small and medium-sized enterprises (SMEs). The model can potentially be evaluated in large organizations to provide further insights. Originality/value The study blends the factors of SCC and SCA in a novel way to explain their combined impact on business performance. The TISM model addresses the “why” of theory development in addition to the “what” and “how” of it. Using triangulation in combination with the interpretative tool, this study additionally offers methodological value.
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