Evaluation of logistics providers for sustainable service quality: Analytics based decision making framework

被引:33
作者
Gupta, Anchal [1 ]
Singh, Rajesh Kumar [2 ]
Mangla, Sachin Kr [3 ]
机构
[1] Apeejay Sch Management, New Delhi 110077, India
[2] Management Dev Inst, Gurgaon 122007, India
[3] Univ Plymouth, Plymouth Business Sch, Plymouth PL4 8AA, Devon, England
关键词
Logistics providers; Sustainable development; Service quality; Factor analysis; Fuzzy AHP -TOPSIS; Sensitivity analysis; CRITICAL SUCCESS FACTORS; SUPPLY CHAIN MANAGEMENT; ENVIRONMENTAL SUSTAINABILITY; TOPSIS; SELECTION; 3PL; AHP; MODEL;
D O I
10.1007/s10479-020-03913-0
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In the present era of the circular economy, sustainable service quality has become an order winning criteria for all logistics provider across the world. The selection of appropriate logistics service providers (LSPs) greatly influences the performance of supply chains in terms of sustainability indicators. Most of the previous studies have not considered sustainability measures in the evaluation of logistics service providers. Therefore, the uniqueness of this study is that we are proposing a framework for selecting the best logistics provider based on sustainable service quality. Total seventeen attributes related to sustainable service quality are finalized based on literature review and subsequent focused group discussions. Through a questionnaire-based survey, data from 150 customers of LSPs are collected. Data is analysed through factor analysis and seventeen attributes of sustainable service quality are categorized into five factors namely Commitment, Competence, Communication, Creativity & Customization, and Coordination and Collaboration. It is named as a 5C framework. This framework is further used to illustrate the selection of best LSP based on sustainable service quality. Listed attributes are evaluated through hybrid Fuzzy Analytic Hierarchy Process (AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) techniques. This decision-making framework is illustrated with the help of a real-life case study. Sensitivity analysis is also done to validate the robustness of the proposed framework. From this study, it has been observed that the development of competencies for the adoption of sustainable practices should be the thrust area for logistics service providers. Findings imply that the logistics providers should give more focus on sustainable network optimization, response time reduction, reliable green services, flexibility in green processes, and development of mutual trust with all stakeholders to become the first choice of their customers. Insights from the study will help LSPs to develop their strategies for ensuring sustainable service quality to customers.
引用
收藏
页码:1617 / 1664
页数:48
相关论文
共 138 条
[1]   Forecasting product returns and reverse logistics performance: structural equation modelling [J].
Agrawal, Saurabh ;
Singh, Rajesh Kumar .
MANAGEMENT OF ENVIRONMENTAL QUALITY, 2020, 31 (05) :1223-1237
[2]   Analyzing disposition decisions for sustainable reverse logistics: Triple Bottom Line approach [J].
Agrawal, Saurabh ;
Singh, Rajesh Kr .
RESOURCES CONSERVATION AND RECYCLING, 2019, 150
[3]   Triple bottom line performance evaluation of reverse logistics [J].
Agrawal, Saurabh ;
Singh, Rajesh Kr ;
Murtaza, Qasim .
COMPETITIVENESS REVIEW, 2016, 26 (03) :289-310
[4]  
Ahimbisibwe A., 2016, INT J OPER LOGIST MA, V5, P16
[5]  
Amponsah CT., 2016, INT J SERV OPER MANA, V25, P531, DOI [10.1504/IJSOM.2016.080279, DOI 10.1504/IJSOM.2016.080279]
[6]   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
[7]  
Awasthi Anjali, 2018, International Journal of Logistics Systems and Management, V29, P190
[8]   A hybrid approach based on SERVQUAL and fuzzy TOPSIS for evaluating transportation service quality [J].
Awasthi, Anjali ;
Chauhan, Satyaveer S. ;
Omrani, Hichem ;
Panahi, Ariyo .
COMPUTERS & INDUSTRIAL ENGINEERING, 2011, 61 (03) :637-646
[9]  
Aziz, 2019, J HUMANIT LOGIST SUP
[10]  
Baharum S., 2019, INT J SUPPLY CHAIN M, V8, P576