Can customer perceived service quality fluctuations predict the performance of retail service supply chain?

Emerald - Tập 51 Số 2 - Trang 602-622 - 2022
Jianfei Li1, Bei Li1, Kun Tang1, Mengxia Sun1
1School of Management, Hunan University of Technology and Business, Changsha, China

Tóm tắt

Purpose Based on the analysis of the dissipative structure of the retail service supply chain (RSSC), this paper divides the system into two internal and external dissipative mechanisms, including the internal performance dissipation mechanism and the perceived quality dissipation mechanism outside the system. Based on the prediction of RSSC performance, this paper aims to discuss the application of Hidden Markov Model (HMM) in this field and puts forward a set of complete process of forecasting the service supply chain (SSC) performance based on HMM model. Design/methodology/approach Based on the theory of dissipative structure, this paper selects the RSSC as the research object, analyzes the system characteristics of the dissipation structure of RSSC from three aspects, such as system opening type, distance from equilibrium state and nonlinear order and describes the quality fluctuation process of RSSC as a Hidden Markov process. Taking the RSSC of J Company as an example, this paper makes use of the observed state value of customer perceived service quality from 1997 to 2016, predicts the performance status of the enterprise's RSSC. Findings The research results show that: RSSC is a dissipative structure system, and its performance is the internal entropy flow of the system, and the customer perceived service quality is external, their interaction determines the dynamic evolution of the system dissipation structure, and the Markov property between supply chain performance and perceived service quality. There is a Markov property between supply chain performance and perceived service quality. Using the perceived service quality observation state data of the external consumers of the system can effectively predict the implicit state of RSSC performance. Based on this prediction result, the strategy adjustment and optimization of the action mechanism of internal and external entropy flow in the dissipative structure system can be carried out to promote the sustainable development of the RSSC. Originality/value This paper thinks that RSSC is a dissipative structure system and the SSC performance and customer perceived service quality are the internal and external entropy flow of the system, which determines the dynamic evolution of the system dissipation structure. There is a Markov property between supply chain performance and perceived service quality. The hidden state of SSC performance can be predicted effectively by using a hidden Markov model and observing state data of perceived service quality from consumers outside the system.

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Tài liệu tham khảo

2010, Stochastic optimal control for staffing and backlog policies in a two‐stage customized SSC, Production and Operations Management, 15, 262

2008, How to measure the ‘value’ in value chains, International Journal of Physical Distribution and Logistics Management, 38, 685, 10.1108/09600030810925971

2013, Measuring supply chain performance, International Journal of Operations and Production Management, 19, 275

2009, An application of the integrated AHP-PGP model for performance measurement of supply chain management, Production Planning and Control, 20, 678, 10.1080/09537280903069897

2017, Service supply chain management process capabilities: measurement development, International Journal of Production Economics, 193, 1

2011, Measures for auditing performance and integration in closed-loop supply chains”, supply chain management, Supply Chain Management: An International Journal, 16, 43, 10.1108/13598541111103494

2004, An analysis of supply risk assessment techniques, International Journal of Physical Distribution and Logistics Management, 34, 397, 10.1108/09600030410545445

2015, Assessing supply chain performance through applying the SCOR model, International Journal of Supply Chain Management, 4, 1

1998, Service quality: the six criteria of good perceived service, Review of Business, 9, 10

2020, Demand information sharing in competing supply chains with manufacturer-provided service, International Journal of Production Economics, 220, 107450

2008, Automating the construction of supply chain key performance indicators, Industrial Management and Data Systems, 108, 750, 10.1108/02635570810883996

2016, Impacts of using a performance measurement system in supply chain management: a case study, International Journal of Production Research, 54, 5607, 10.1080/00207543.2016.1181810

2020, Dynamic evolution and coordination mechanism of RSSC under the steady-state quality constraints, Kybernetes, 49

2015, Quality control game model in logistics service supply chain based on different combinations of risk attitude, International Journal of Production Economics, 161, 181

2018, Quality decision of the logistics SSC with service quality guarantee, International Journal of Production Research, 51, 1618

2013, Quality supervision and coordination of logistic SSC under multi-period conditions, International Journal of Production Economics, 142, 353, 10.1016/j.ijpe.2012.12.011

2014, Designing vendor evaluation systems: an empirical analysis, Journal of Purchasing and Supply Management, 20, 113, 10.1016/j.pursup.2014.03.002

2017, Supply chain performance measurement systems: a systematic review and research agenda, International Journal of Production Economics, 183, 299, 10.1016/j.ijpe.2016.11.005

2015, A SCOR-based model for supply chain performance measurement: application in the footwear industry, International Journal of Production Research, 53, 4917, 10.1080/00207543.2015.1005251

2011, Supplier evaluation processes: the shaping and reshaping of supplier performance, International Journal of Operations and Production Management, 31, 888, 10.1108/01443571111153085

2015, Take meat. Competition and market segmentation of the call center service supply chain management, European Journal of Operational Research, 247, 504, 10.1016/j.ejor.2015.06.027

2018, The doer effect of failure and recovery in multi-agent cases: service supply chain perspective, Journal of Service Theory and Practice, 28, 274, 10.1108/JSTP-05-2016-0094

2019, The revenue-sharing model of logistics service supply chain for online seafood retailing, Journal of Coastal Research, 94, 659

2018, Optimal strategy of social responsibility and quality effort in service supply chain with quality preference, Asia-Pacific Journal of Operational Research, 35, 1850018, 10.1142/S0217595918500185

2015, Quality effort decision in service supply chain with quality preference based on quantum game, International Journal of Modern Physics C, 26, 1550073, 10.1142/S0129183115500734

2018, A hybrid approach combining an extended BBO algorithm with an intuitionistic fuzzy entropy weight method for QoS-aware manufacturing service supply chain optimization, Neurocomputing, 272, 439, 10.1016/j.neucom.2017.07.011

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Emerald

Tập 51 Số 2

602-622

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