Quality effort decision in service supply chain with quality preference based on quantum game

Zhang, Cuihua; Xing, Peng; Wang, Jianwei

doi:10.1142/s0129183115500734

Cited by 12 publications

(7 citation statements)

References 52 publications

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“…Many factors impact shared manufacturing quality coordination. The literature [12][13][14] conducted a number of studies on quality improvement, but they were all based on traditional expected utility theory. Traditional game analysis, due to its inherent limitations, makes it impossible to ensure the robustness and scientificity of the Figure 6 shows that the subsidy mechanism has a considerable impact on the evolution of the shared manufacturing system, and that the subsidy mechanism may effectively shift the location of the system's equilibrium point.…”

Section: Model Analysismentioning

confidence: 99%

“…Yang et al [13] studied the evolutionary stabilization strategies of supply sides and producers using replicated dynamic equations, and the behavioral strategies were closely related to the input-output ratio, quality improvement effort cost, free-rider benefits, and initial strategies. Zhang et al [14] built a service supply chain quality effort decision model with quality preferences and investigated the effect of quality preferences on quality improvement. The preceding studies examined the quality improvement problem from various perspectives, including cost sharing, quality gain, and quality preference, and provided ideas for this paper; however, the research objects of the preceding studies were mostly supply and demand sides, ignoring the influence of regulatory factors.…”

Section: Introduction and Theoretical Assumptions 1introductionmentioning

confidence: 99%

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Evolutionary Game Analysis of Shared Manufacturing Quality Synergy under Dynamic Reward and Punishment Mechanism

Zhang

Wang

et al. 2022

Applied Sciences

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Quality improvement is crucial for manufacturing, and existing research has paid less attention to the influence of regulatory factors and irrational factors of decision makers. Considering the impact of the reward and punishment strategy of the shared platform on quality decision-making, this paper introduces prospect theory and mental account theory into the process of multi-agent evolutionary game of shared manufacturing, constructs a co-evolutionary game model of shared manufacturing quality synergistic improvement under the dynamic reward and punishment mechanism, and analyzes the dynamic evolution law of each game agent. The research results show that: (1) The synergistic improvement of shared manufacturing quality is the consequence of the combined action of numerous interrelated and interacting factors, rather than the linear effect of a single element. (2) Although the combination of multiple incentive and punishment methods can significantly alter the effect of shared manufacturing quality synergy, there are certain effectiveness gaps. (3) The subsidy mechanism can effectively compensate for the effectiveness gap of the reward and punishment mechanism, and it can also strengthen the internal driving force of shared manufacturing quality coordination. The main management insights are as follows: (1) Consider strong external regulation to be the framework constraint, and positive internal control to be the detail specification. (2) Create a reliable reward and punishment mechanism and dynamically alter the intensity of rewards and penalties. (3) To close the effectiveness gap, strengthen the subsidy mechanism as an essential addition to the incentive and punishment mechanisms. This study can give a new reference path for quality improvement of shared manufacturing, allowing shared manufacturing to play a more constructive role in supporting the transformation and development of the manufacturing industry.

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Section: Model Analysismentioning

confidence: 99%

Section: Introduction and Theoretical Assumptions 1introductionmentioning

confidence: 99%

Evolutionary Game Analysis of Shared Manufacturing Quality Synergy under Dynamic Reward and Punishment Mechanism

Zhang

Wang

et al. 2022

Applied Sciences

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“…Zha et al (2015) investigate the effort of a service platform in the hotel service supply chain and explore its influence on the hotel's decision and channel co-ordination. Zhang et al (2015) and Zhang, Xing and Li (2018) have considered the quality preferences of strategic suppliers in the service supply chain that will determine their quality efforts. Komulainen et al (2018) have examined how customer value experience affects the reorganisation of the bank service network.…”

Section: Other Behaviourmentioning

confidence: 99%

Service supply chain management: a behavioural operations perspective

Liu

Wang

Long

et al. 2019

MSCRA

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Purpose The purpose of this paper is to provide an overview of the evolution of service supply chain management from a behavioural operations perspective, pointing out future research directions for scholars. Design/methodology/approach This study searched five databases for relevant literature published between 2009 and 2018, selecting 64 papers for this review. The selected literature was categorised according to two dimensions: a service supply chain link perspective and a behavioural factor perspective. Comparative analysis was used to identify gaps in the literature, and five future research agendas were proposed. Findings In terms of the perspective of service supply chain link, extant literature primarily focuses on service supply and service co-ordination management, and less on service demand and integration management. In terms of the behavioural factor’s perspective, most focus on classic behaviour factors, with less attention paid to emerging behaviour factors. This paper thus proposes five research agendas: demand-oriented management and integrated supply chain-oriented behavioural research; broadening the understanding of the scope of behavioural operations; integrating the latest backgrounds and trends of service industry into the research; greater attention to behavioural operations in service sub-industries; and multimethod combination is encouraged to be used to dig into the interesting research problems. Originality/value This study constitutes the first systematic review of service supply chain research from a behavioural perspective. By categorising the literature into two dimensions, the state of existing research is evaluated with an eye towards future research avenues.

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“…Liu and Wang (2015) established a game model of quality supervision and control of SSC based on hybrid strategy Nash equilibrium in LSSC composed of logistics service integrator (LSI) and functional logistics service provider (FLSP) and discussed the influence of various risk attitude combinations on LSI regulatory probability and FLSP compliance probability. Zhang et al (2015) considered the service quality preference behavior of service integrators and service providers in SSC, established the utility function of service quality effort and service quality preference level in the comprehensive and decentralized SSC, and built a SSC optimization model based on Nash equilibrium and quantum game. We can compare different solutions to find the optimal strategy in the quality preference SSC.…”

Section: Introductionmentioning

confidence: 99%

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

Tang

et al. 2021

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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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Quality effort decision in service supply chain with quality preference based on quantum game

Cited by 12 publications

References 52 publications

Evolutionary Game Analysis of Shared Manufacturing Quality Synergy under Dynamic Reward and Punishment Mechanism

Evolutionary Game Analysis of Shared Manufacturing Quality Synergy under Dynamic Reward and Punishment Mechanism

Service supply chain management: a behavioural operations perspective

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

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