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Cansu Yildirim, Bengu Sevil Oflaç and Oznur Yurt
The purpose of this paper is to explore the doer effect of service failure (SF), good prior experience (GPE) and recovery on overall customer satisfaction and repurchase…
The purpose of this paper is to explore the doer effect of service failure (SF), good prior experience (GPE) and recovery on overall customer satisfaction and repurchase intentions for multi-agents in tourism service supply chain (TSSC). It specifically focuses on internal and external failure and recovery.
The study employs a 2×2×3 between-subjects experimental design with 12 diverse scenarios. It aims to examine the main effects of GPE and the interaction effects of SF and recovery on overall customer satisfaction and repurchase intentions.
The main findings show that consumers do not show favorable behavioral outcomes when they have GPE with an affiliated party. Results of the experiments demonstrate that for hotels, there is no interaction effect between failure and recovery regarding overall customer satisfaction and repurchase intentions; however, for travel agencies, an interaction effect has been found. This indicates that an internal failure (by travel agency) should be recovered internally to increase the behavioral outcomes for travel agency. However, if there is an external failure (by hotel) then the essential thing is providing a recovery.
Although the service literature covers failure and recovery in diverse contexts, these concepts are rarely studied from a multi-agent perspective in the service supply chain literature. In such a chain, a failure by a different party may remain unresolved, and this may create a positive effect on another party, if they provide recovery for the failure. This means that the doer of the failure and/or recovery (the party responsible from the failure and/or recovery) may have an impact on behavioral outcomes. However, previous literature has neglected to focus on the important issue of which entity/party performs the failure and/or recovery, and the effect on behavioral outcomes. By focusing on a principal-agent relationship in a TSSC, the study aims to address this research gap.
Cansu Turan and Yucel Ozturkoglu
There is a large number of perishable foodstuffs produced, stored, distributed and delivered daily around the world. Almost all except for root vegetables are sensitive…
There is a large number of perishable foodstuffs produced, stored, distributed and delivered daily around the world. Almost all except for root vegetables are sensitive products to temperature. Thus, adopting uninterrupted and appropriate logistics activities with predetermined range of temperature from production site until end-user is critical for ensuring required quality and safety. If a mistake is made during either transport or storage, it not only becomes risky for human health, but also generates huge food waste for the environment and negative economic impact for food providers. Therefore, this study aims to identify all potential factors affecting the cold chain performance in the food industry and to design a framework that includes these factors. This framework is also a roadmap for managers, food providers and logistics parties for sustainable cold chain management.
Considering, tangible and intangible potential criteria, the ultimate goal of this study is to identify potential criteria affecting cold food chain performance and propose a conceptual framework including 12 main criteria. Next, the importance order of each criterion and the causal relationships between them are determined. In this study, this relationship among criteria is analyzed by using fuzzy Decision-making Trial and Evaluation Laboratory (DEMATEL) approach because of its ability to solve complex problems by ensuring causal relationship among factors, additionally to determine importance order. Finally, suggestions for administrative implications are presented.
Fuzzy DEMATEL was used to explain the causal link and importance order among identified drivers. The analysis shows that five criteria (C1, C3, C8, C9 and C12) belong to cause (influential) groups and remaining seven criteria belong to effect (influenced) groups. The highest influential criterion is staff (C8) and is followed by technical issues (C9) as the second most influential factor. Additionally, top three most important factors are traceability (C7), staff (C8) and cold transportation (C5). According to the numerical results of fuzzy DEMATEL implementations, suggestions for managerial implementations are presented.
The main contribution of the study is to propose meaningful suggestions for managerial implications about sustainable cold chain in food industry for businesses and to examine causal relations between criteria and to rank criteria in descending importance order.
To the best of the authors’ knowledge, this is the first study that focuses on determining the potential criteria affecting cold supply chain performance both theoretically and empirically in the sustainability environment. What are the enablers that affect the cold food supply chain stages is the research question of this study.