Analysing the critical success factors and the risks associated with third-party logistics in the food supply chain: a case of coffee industry

被引:14
作者
Shanker, Saket [1 ]
Sharma, Hritika [1 ]
Barve, Akhilesh [1 ]
机构
[1] Maulana Azad Natl Inst Technol, Dept Mech Engn, Bhopal, India
关键词
Food supply chain; Coffee supply chain; Third-party logistics (3PLs); Critical success factor (CSF); Fuzzy ISM-MICMAC; Fuzzy TOPSIS; ISM-FUZZY MICMAC; DECISION-MAKING; LOCATION SELECTION; SERVICE PROVIDERS; MANAGEMENT; SUSTAINABILITY; TOPSIS; BARRIERS; IMPLEMENTATION; PROCUREMENT;
D O I
10.1108/JAMR-11-2020-0307
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose The purpose of this study is to analyse various risks associated with third-party logistics (3PL) in the coffee supply chain and to present a framework that computes the influence of these risks on the critical success factors of the coffee supply chain. Design/methodology/approach The risks have been identified through a comprehensive literature review and validation by industry experts. The paper utilises an interpretive structural modelling (ISM) methodology for developing a hierarchical relationship among the CSFs. Furthermore, fuzzy MICMAC analysis is carried out to categorise these CSFs based on their driving power and dependence value. The fuzzy technique for order preferences by the similarity of an ideal solution (fuzzy-TOPSIS) approach has been applied to prioritise the risks associated with 3PL based on their ability to influence the CSFs of the coffee SC. Furthermore, we performed a sensitivity analysis to analyse the stability of the results obtained in this study. Findings This study illustrates ten risks associated with 3PL and five CSFs in the coffee supply chain. The analysis revealed that coffee enterprises need to develop a balanced pricing strategy to ensure a sustainable competitive advantage, whereas the lack of direct customer communication is the most dominant 3PL risk affecting the CSFs. Practical implications This research provides coffee enterprises with a generalised framework with set parameters that can be used to attain a successful coffee supply chain in any developing nation. Originality/value The study contributes to the literature by being the first kind of study, which has used fuzzy ISM-MICMAC to analyse the CSFs of the coffee supply chain and fuzzy-TOPSIS for analysing the impact of various risks associated with the 3PL in the coffee supply chain. Thus, this work can be considered a benchmark for future research and advancement in the coffee business field.
引用
收藏
页码:161 / 197
页数:37
相关论文
共 142 条
[1]   Evaluating solutions to overcome humanitarian supply chain management barriers: A hybrid fuzzy SWARA - Fuzzy WASPAS approach [J].
Agarwal, Sachin ;
Kant, Ravi ;
Shankar, Ravi .
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2020, 51
[2]  
Agrawal Saurabh, 2016, Journal of Industrial Engineering International, V12, P15, DOI 10.1007/s40092-015-0124-8
[3]   Modelling and analyzing of critical success factors for implementing UAE's Government Excellence Model in the public sector: an ISM and Fuzzy-MICMAC approach [J].
AlZawati, Ola Khalid ;
Bashir, Hamdi ;
Alsyouf, Imad .
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT, 2020, 11 (06) :1107-1132
[4]   Prioritizing the performance outcomes due to adoption of critical success factors of supply chain remanufacturing [J].
Ansari, Zulfiquar N. ;
Kant, Ravi ;
Shankar, Ravi .
JOURNAL OF CLEANER PRODUCTION, 2019, 212 :779-799
[5]   Key characteristics and success factors of supply chain initiatives tackling consumer-related food waste - A multiple case study [J].
Aschemann-Witzel, Jessica ;
de Hooge, Ilona E. ;
Rohm, Harald ;
Normann, Anne ;
Bossle, Marilia Bonzanini ;
Gronhoj, Alice ;
Oostindjer, Marije .
JOURNAL OF CLEANER PRODUCTION, 2017, 155 :33-45
[6]   Performance measurement of India-based third party logistics sector: an empirical study of user versus provider perspectives [J].
Asthana, Smriti ;
Dwivedi, Ashish .
PRODUCTION PLANNING & CONTROL, 2020, 31 (2-3) :259-272
[7]  
Attri Rajesh, 2020, International Journal of Business Excellence, V20, P521
[8]   Application of fuzzy TOPSIS in evaluating sustainable transportation systems [J].
Awasthi, Anjali ;
Chauhan, Satyaveer S. ;
Omrani, Hichem .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (10) :12270-12280
[9]  
Bae JH, 2014, INTEGR MED RES, V3, P189
[10]   Benchmarking logistics facilities: a rating model to assess building quality and functionality [J].
Baglio, Martina ;
Perotti, Sara ;
Dallari, Fabrizio ;
Garagiola, Elisabetta Rachele .
BENCHMARKING-AN INTERNATIONAL JOURNAL, 2019, 27 (03) :1239-1260