• Journal of Distribution Research
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• v.10 no.4
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• pp.89-111
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• 2005

The purpose of the study was to examine the role of cognitive costs in the relationship between service quality and store loyalty using structural equation modeling. The findings showed that cognitive costs playa mediating role between service quality and store loyalty. The findings also showed that physical environment indirectly affected store loyalty through cognitive cost. However, personal service had both direct effect and indirect effect on store loyalty. It was also appeared that there were differences in the models between customers and prospects.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.391-399
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• 2020

This study aims to analyze the relationship of e-HRM implementation to employee performance both directly and indirectly through the intervening of the Human Resource service Quality variable, both practically and theoretically. This study uses variance-based structural equation modeling (SEM) techniques with partial least square (PLS) statistical testing tools to test the direct relationship of e-HRM and the performance and relationship moderated by Human Resources service quality tested on 200 civil servants in five offices under the coordination of the Government of the South Sulawesi Province of Indonesia. The data collection model in this study uses an online survey. The data analysis stages through the explanatory concept consist of, first, the interpretation of the distribution of the average frequency of respondents' answers; second, outer-loading; third, determination of the validity and reliability; fourth, the coefficient of determination test and partial test; fifth, the GoF model; sixth, validity test; and seventh, hypothesis testing. This study explores four hypotheses in a comprehensive fashion; the results of this study show that all hypotheses have positive and significant effects both through direct and intervening relationships. Among the three direct relationships, the relationship of e-HRM variables on HR Service Quality is greatest and most dominant.

• Journal of Distribution Science
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• v.19 no.9
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• pp.91-100
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• 2021

Purpose: This study investigates the use intention of artificial intelligence (AI) food service stores for senior customers, which are becoming a trend in the service industry. Research design, data and methodology: For the study, the extended technology acceptance model (TAM) and motivated consumer innovativeness (MCI) variables, proven by existing researchers, were used. In addition to the effect of motivated consumer innovativeness on customer value, we investigated the effect of customer value on trust and use intention. For the study, 520 questionnaires were distributed online by an expert survey agency. Data was verified through validity and reliability. Results: The analysis results of the research hypothesis verified that functionally motivated consumer innovativeness (fMCI), hedonically motivated consumer innovativeness (hMCI), and socially motivated consumer innovativeness (sMCI) all had positive effects on usefulness and enjoyment. Furthermore, usefulness had a statistically significant positive effect on trust, but perceived enjoyment did not; trust was found to positively affect the intention to use. Conclusions: We compared the moderating effects of seniors' gender and age (at 60) between groups. Although there was no moderating effect of age, it was verified that regarding the effect of usefulness on trust, the male group showed a greater influence than the female group.

• Journal of Distribution Science
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• v.21 no.1
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• pp.73-83
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• 2023

Purpose: This study analyzed the influence of restaurant service perception on customer satisfaction and its implications on customers' attitude towards, intention to return to, and word-of-mouth (WOM) regarding a restaurant chain. Research design, data and methodology: Data from 421 respondents were collected using the convenience sampling method. After analyzing the data normality and removing responses with missing data and outliers, 342 responses were selected for further analysis, and the hypotheses were tested using Structural Equation Modeling (SEM). Results: We found that service perception affected customer satisfaction and customer satisfaction affected the customers' attitude toward the restaurant chain, which affected customers' intention to return and WOM about the restaurant chain. Conclusions: This paper provides one of the most important empirical results for managers in the restaurant sector, especially in Indonesia. Restaurant managers should thus provide training to their employees to improve the quality of the interaction with the customers and thereby increase customer satisfaction. The limitations listed in this study include the exclusion of respondents' income. For future research, we suggest investigating models of customer participation or consumer value co-creation for restaurant marketing success. Consumers are generic actors in the service ecosystem engaged in the value co-creation process.

• Journal of Distribution Science
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• v.20 no.1
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• pp.13-26
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• 2022

Purpose: The Covid-19 pandemic has accelerated and triggered changes in online shopping especially in an emerging market. This paper develops a modification of SERVQUAL model to examine the relationship between individual dimensions of e-service quality, online trust and purchase intentions in singular online shopping platform. Research design, data and methodology: Data from an online survey of 385 Lazada's shoppers were used to test the research model. The structural equation modeling technique was performed to test the research model. Results: The analytical results revealed that five dimensions of e-service quality were positively correlated with one another whereas some dimensions were negatively correlated with purchase intentions. The results of this study provide new insight into the literature as well as practical implications for marketers especially in Thai online market. Conclusion: This study develops the instrument dimensions of e-service quality through modifying the SERVQUAL model to examine the e-commerce context and to testify how these individual dimensions are interlinked with one another. It also suggests that responsiveness has two-sided affects that in responses which are too prompt and insistent could make the customer feel uncomfortable and perhaps ending up with no interaction and transaction.

• The Journal of Industrial Distribution & Business
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• v.15 no.7
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• pp.1-9
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• 2024

Purpose: This research adopts the SERVQUAL and LSQ frameworks to examine the correlation between return reverse logistics service quality of the JD platform and customer satisfaction, as well as the linkage between consumer satisfaction and repurchase intention. Research design, data and methodology: A comprehensive literature review on both domestic and international logistics service quality has been conducted. Considering the unique aspects of JD's return reverse logistics services, an evaluation framework with 5 dimensions and 21 indicators is formulated, including communication, information, return process, empathy, and convenience. A conceptual model exploring the influence of JD's reverse logistics service quality on customer repurchase intention is developed, proposing six hypotheses. For this investigation, 358 valid questionnaires were collected, processed, and analyzed using SPSS 22.0. The structural equation modeling was conducted and validated through AMOS 21.0 software. Results: Following a thorough analysis of data, it reveals that: (1) Information quality, return process quality, and empathy significantly enhance customer satisfaction. (2) Customer satisfaction positively impacts repurchase intention. Conclusion: Based on these findings, three strategic recommendations are offered for e-commerce platforms with in-house logistics systems. The research also discusses limitations and future research directions.

• The Journal of Industrial Distribution & Business
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• v.15 no.9
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• pp.11-19
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• 2024

Purpose: This study analyzes how cabin crew service quality influences customer loyalty in the aviation industry. Specifically, it examines how the reliability, professionalism, and authenticity of cabin crew services affect cognitive loyalty and whether such effects affect emotional loyalty. Design and methodology: We surveyed passengers who had used aviation services in the past year. Structural equation modelling was used to test our hypotheses. To test model fit and assess reliability, validity was developed for the measurement items of each variable. Findings: The results support all four hypotheses. Reliability, professionalism, and authenticity of cabin crew services positively influence cognitive loyalty. Furthermore, cognitive loyalty significantly and positively affects emotional loyalty. These findings highlight the crucial role of cabin crew in fostering both rational preference and emotional attachment among passengers. Conclusions: This study provides insights into developing customer loyalty in the aviation industry. It demonstrates the need to invest in cabin crew training, which ultimately affects all three service quality dimensions. It also indicates that carriers can consider cognitive loyalty as a gateway to emotional loyalty and should pursue strategies accordingly. These results provide airlines with practical implications for improving customer loyalty and furthering their competitive advantage in the industry.

• Journal of the Korean Statistical Society
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• v.36 no.2
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• pp.285-297
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• 2007

We consider the $P_{\lambda}^M-service$ policy for an M/G/1 queueing system in which the workload is monitored randomly at discrete points in time. If the level of the workload exceeds a threshold ${\lambda}$ when it is monitored, then the service rate is increased from 1 to M instantaneously and is kept as M until the workload reaches zero. By using level-crossing arguments, we obtain explicit expressions for the stationary distribution of the workload in the system.

• Journal of Distribution Science
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• v.13 no.2
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• pp.85-94
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• 2015

Purpose - This study attempts to examine the impacts of consumers' perceived service convenience of retailers on various service performance metrics such as service quality and customer satisfaction. It also tries to investigate differences in the importance of service convenience dimensions on service performance between a department store and a general super market. Research design, data, and methodology - The four hypotheses in this study were proposed and tested. Two hypotheses were on the causal relationships between service convenience dimensions and service performances (service quality and customer satisfaction). The other two hypotheses were on comparisons for the effects of convenience dimensions on service quality and customer satisfaction between department stores and general super markets. To test the hypotheses, three department store chains (Hyundai, Lotte, and Shinsegae department Store) and three general super markets (E-mart, Homeplus, and Lotte mart) were involved. Overall, 510 usable responses were used. The data were analyzed using regression analysis. Results - The results largely support the hypothesized relationships of the proposed model. The results show that access convenience, transaction convenience, benefit convenience, and post-benefit convenience have positive influences on service quality, whereas decision convenience, access convenience, transaction convenience, benefit convenience, and post-benefit convenience have positive effects on customer satisfaction. Furthermore, the results show that there are differences between department stores and general super markets in the effects of benefit convenience and post-benefit convenience on service quality as well as the effects of transaction convenience and post-benefit convenience on customer satisfaction. Conclusions - The concept of service convenience is important in retail environments but little is known about this topic in retail literature. Specially, while service convenience dimensions have different impacts on service performance in distinct retail environments, there has been little investigation or comparison between retail types as regards service convenience. This study is the first to test the differences between distinct retail types (department stores and general super markets) on the service convenience-service performance links. Managerially, the findings of this study suggest that the service convenience management of retailers is an important part of successful service performance management. Because it is most important that both department stores and general super markets enhance benefit convenience to improve service performance, managers of both store types need to invest their resources to reduce consumers' perceived time and effort expenditures to experience the retailer's core benefits. Therefore, the results of this study suggest that retail stores should spend human and financial resources to enhance customer perceptions of service convenience, while also considering what constitutes the service outcome in the consumer's mind. Furthermore, the findings suggest that managers need to use different service convenience management tactics in department stores and general super markets. Specifically, managers in general super markets should pay more attention to benefit convenience and transaction convenience to achieve better service performance whereas managers in department stores should concentrate on post-benefit convenience to create customers' positive evaluation.

• Journal of Information Technology Applications and Management
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• v.18 no.4
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• pp.81-93
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• 2011

By using GOSST theory, this paper models SSCFLP taking FLP, capacity of the facilities, single source capacitated limitation level and service enhancement issues into consideration. GOSST theory is strongly suggested as the solution procedure for these issues. We have used clustering of Center of Gravity method using the case study of the company S and then, took a heuristic GOSST measure in the alternative selection process. As a result, the research finds an alternative solution that both meets the satisfactory level of service and achieves consistent distribution capacity. When using this modeling, especially, to select the location of the logistics distribution center, the efficiency of current facilities is maximized while offering the minimum geometric distance for the alternative. Also, we can expect that the illustrated model and alternative solution can be applied to architecture of distribution system, to selection of telecommunication system locations for wireless network and to relocation of related facilities due to their sensitivities to location and weight.