Guangsheng Zhang, Xiao Wang, Zhiqing Meng, Qirui Zhang and Kexin Wu
To remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game…
Abstract
Purpose
To remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.
Design/methodology/approach
Regarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.
Findings
The results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.
Originality/value
First, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.
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Zhiqing Jiang, Shin’ya Nagasawa and Junzo Watada
The purpose of this paper is to reveal how store design influences luxury brand image building in a competitive market through the case study of two luxury fashion brands – Bally…
Abstract
Purpose
The purpose of this paper is to reveal how store design influences luxury brand image building in a competitive market through the case study of two luxury fashion brands – Bally and Tod's.
Design/methodology/approach
Quantitative (questionnaires) and qualitative (interview) approaches are both utilized in this research study. The authors interviewed brand managers of Bally and Tod's Japan and then conducted questionnaires to 57 consumers and six brand managers. Correspondence analysis, multidimensional analysis, and rough set theory were utilized to analyze the data obtained from questionnaires in order to draw the positioning maps of brand image and store image, calculate the distance of images between managers and consumers and derive and compare inference structure.
Findings
The “Brand Dimensions Scales” created by Aaker (1997) can enable to measure luxury brand and store image in a scientific way. The results clarify that there is a big gap between consumers’ and managers’ cognition; the architect who designs the building could be a efficient way of advertising a luxury brand and its building to the public; and location and store atmosphere should influence luxury brand image building through non-verbal communication.
Originality/value
This research study on luxury brand image building provides a way to measure brand image and assesses the impact change in brand image as well as its stores.
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Jingru Lian, Xiaobing Fan, Bin Xu, Shan Li, Zhiqing Tian, Mengdan Wang, Bingli Pan and Hongyu Liu
This paper aims to regulate the oil retention rate and tribological properties of pored polytetrafluoroethylene (PPTFE) using polyvinyl alcohol (PVA)-based oil gel.
Abstract
Purpose
This paper aims to regulate the oil retention rate and tribological properties of pored polytetrafluoroethylene (PPTFE) using polyvinyl alcohol (PVA)-based oil gel.
Design/methodology/approach
PPTFE was first prepared by using citric acid (CA) as an efficient pore-making agent. Subsequently, PVA and chitosan solution was introduced into the pores and experienced a freezing-thawing process, forming PVA-based gels inside the pores. Then, the PPTFE/PVA composite was impregnated with polyethylene glycol 200 (PEG200), yielding an oil-impregnated PPTFE/PVA/PEG200 composite.
Findings
It was found that the oil-impregnated PPTFE/PVA/PEG200 composite exhibited advanced tribological properties than neat PTFE with reductions of 53% and 70% in coefficient of friction and wear rate, respectively.
Originality/value
This study shows an efficient strategy to regulate the tribological property of PTFE using a PVA-based oil-containing gel.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2024-0432/
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Pingping Xiong, Zhiqing He, Shiting Chen and Mao Peng
In recent years, domestic smog has become increasingly frequent and the adverse effects of smog have increasingly become the focus of public attention. It is a way to analyze such…
Abstract
Purpose
In recent years, domestic smog has become increasingly frequent and the adverse effects of smog have increasingly become the focus of public attention. It is a way to analyze such problems and provide solutions by mathematical methods.
Design/methodology/approach
This paper establishes a new gray model (GM) (1,N) prediction model based on the new kernel and degree of grayness sequences under the case that the interval gray number distribution information is known. First, the new kernel and degree of grayness sequences of the interval gray number sequence are calculated using the reconstruction definition of the kernel and degree of grayness. Then, the GM(1,N) model is formed based on the above new sequences to simulate and predict the kernel and degree of the grayness of the interval gray number sequence. Finally, the upper and lower bounds of the interval gray number are deduced based on the calculation formulas of the kernel and degree of grayness.
Findings
To verify further the practical significance of the model proposed in this paper, the authors apply the model to the simulation and prediction of smog. Compared with the traditional GM(1,N) model, the new GM(1,N) prediction model established in this paper has better prediction effect and accuracy.
Originality/value
This paper improves the traditional GM(1,N) prediction model and establishes a new GM(1,N) prediction model in the case of the known distribution information of the interval gray number of the smog pollutants concentrations data.