Safety Failure Factors Affecting Dairy Supply Chain: Insights from a Developing Economy
Aisha Hassan,
Li Cui-Xia,
Naveed Ahmad,
Muzaffar Iqbal,
Kramat Hussain,
Muhammad Ishtiaq and
Maira Abrar
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Aisha Hassan: College of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Li Cui-Xia: College of Economics and Management, Northeast Agricultural University, Harbin 150030, China
Naveed Ahmad: School of Management, Northwestern Polytechnical University, Xi’an 710000, China
Muzaffar Iqbal: Department of Business Administration, Lahore Leads University, Lahore 54000, Pakistan
Kramat Hussain: College of Management and Economics, Tianjin University, Tianjin 300072, China
Muhammad Ishtiaq: School of Economics, Kohat University of Science and Technology, Kohat 26000, Pakistan
Maira Abrar: Business School, Konkuk University, Seoul 100011, Korea
Sustainability, 2021, vol. 13, issue 17, 1-24
Abstract:
Safety issues in the dairy industry have attracted greater attention in recent years, and the public have showed an intensive concern regarding safety failure in the dairy supply chain. Since the dairy industry is closely associated with humans and fulfills basic necessities, it is necessary to explore safety failure factors (SFFs) affecting the supply chain of the dairy industry. This paper aims to explore the SFFs of the dairy supply chain using an interpretive structural modeling technique (ISM) and Matrice d’Impacts Croises Multiplication Appliques a un Classement (MICMAC) analysis in a Pakistani context. A total of twenty-five failure factors have been identified through literature reviews and the opinion of an expert team, including managerial and technical experts from the dairy industry, as well as academics. Interpretive structural modeling (ISM) is applied to analyze the mutual interaction among barriers and to develop a structural model. The MICMAC technique is used to identify the importance of SFFs based on their driving and dependence power. The results of this study will help decision-makers in the dairy industry to plan their supply chain activities more effectively and efficiently by managing the identified barriers.
Keywords: dairy industry; supply chain management; safety failure factors; interpretive structural modeling; MICMAC analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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