Background
Type: Article

Proposing a framework for analyzing the effect of lean and agile innovation on lean and agile supply chain

Journal: International Journal of Quality and Reliability Management (0265671X)Year: 2 January 2024Volume: 41Issue: Pages: 291 - 323
Nikneshan P.Shahin A.a Davazdahemami H.
DOI:10.1108/IJQRM-04-2022-0143Language: English

Abstract

Purpose: This study aims to propose an integrated framework for analyzing the effect of lean and agile innovation on the lean and agile supply chains. Design/methodology/approach: The literature was reviewed and the dimensions of lean and agile supply chain/innovation were extracted. The statistical population included the managers and experts of pharmaceutical companies in Isfahan province. Eight pharmaceutical companies were selected. A researcher-made questionnaire was used to investigate the research variables. The face and content validity of the questionnaire and the data reliability were confirmed. After data collection, the studied companies were positioned in a two-by-two matrix and the associated data of two cells of the matrix, i.e. high lean supply chain/innovation and high agile supply chain/innovation were used for further statistical effect analysis using Smart-PLS. Findings: The research results indicated that with the improvement of lean innovation in pharmaceutical companies, the lean supply chain improved by 97.9%; and with the improvement of agile innovation, the agile supply chain improved by 97.1%. Practical implications: Considering lean innovation, pharmaceutical companies should deal with the process of conceptualizing innovation, and regarding agility strategy, their focus should be more on generating ideas to improve their agile supply chain. This study was performed during the COVID-19 pandemic and offers appropriate innovation strategies to improve the supply chain of pharmaceutical companies. Originality/value: The literature review implies that no research has been conducted on the selected and classified variables of this study. Also, using the positioning matrix before statistical analysis distinguishes this paper from similar studies. © 2023, Emerald Publishing Limited.