• Journal of the Korean Home Economics Association
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• v.43 no.3 s.205
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• pp.147-159
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• 2005

The purpose of this study was to analyze the effect of justice (distributive, interactional, and procedural) perception of e-service recovery in restaurant businesses on e-service recovery satisfaction, negative word of mouth, trust, and commitment. We designed a quasi-experimental study using eight different scenarios of justice application. One of the eight scenarios was distributed to each respondent to read, and the respondent then answered regarding feelings and subsequent action. Data analysis was based on 232 usable responses. The results imply that interactional justice is more important than other forms of justices in e-service recovery of restaurant businesses, indicating that restaurants must approve the service failure, make an apology to the customer, and maintain a courteous attitude at all times. In addison, the restaurant has to consider an e-service recovery program as a long-term strategy because the effect of e-service recovery in restaurant businesses grows slowly and takes time-consuming effort.

• Journal of Distribution Science
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• v.22 no.1
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• pp.79-94
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• 2024

Purpose: The popularity of social media has altered how customers interact with businesses, and an increasing number of customers prefer to voice their complaints on social media. Bystanders can observe the customer complaint process on social media, but the impact of transparency on bystanders remains uncertain. Therefore, this study established and verified a model for defining the effect of transparency and service recovery types on bystanders. Research Design and Methodology: In this study, we used the internet survey platform "So Jump" to collect data. And we validated three studies with SPSS 26.0 and Smart PLS 4.0. Result: First, we showed that the transparency process (vs. result) is more likely to increase customer forgiveness and E-loyalty and reduce E-NWOM intention among bystanders. Second, customer forgiveness also plays a complementary mediating role between transparency and E-loyalty, as well as between transparency and E-NWOM intention. Finally, we found a modest interaction effect between transparency (process vs. result) and service recovery types (psychological vs. tangible vs. hybrid) on bystanders' customer forgiveness and E-loyalty. Conclusions: This study provides actionable recommendations for how service managers can effectively employ social media as a means for distributing feedback information to manage service recovery in the future.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.129-139
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• 2019

The purpose of this research is to examine the effect of informational justice on post-recovery satisfaction, and the effect of post-recovery satisfaction on behavioral intentions in e-commerce, including further investigate the moderating effect of service failure severity. Using quantitative method, the population of this research are online customers in Indonesia, with non-probability sampling that will be done by purposive sampling method based on predetermined criterias, which are customers who were doing transactions in the Business to Consumer (B2C) online sites, experienced service failure in the last 6 months, submitted a complaint, and received a response. Sample of 317 online customers were gathered and analyzed using the Structural Equation Modeling. The results of this study indicated that 5 hypothesis are supported with data. As a conclusion, informational justice and post-recovery satisfaction has positive effect, while service failure severity acts as a moderator between post-recovery satisfaction and behavioral intentions. As a managerial implication, online store management needs to ensure the informational justice to make a post-recovery satisfaction. Therefore, online store management needs to ensure the informational justice to make a post-recovery satisfaction, increase repurchase and positive e-word of mouth intention, also work harder to recover services, especially in high service failure severity condition.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.6
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• pp.700-711
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• 2011

The purposes of the study were to identify the online service attributes that contribute to online consumer experiences of satisfaction, service failure, and service recovery and to examine whether differences exist in these attributes between U.S. and Korea. E-A-S-QUAL provided a useful framework for the study. Focus group interviews and web surveys were conducted by utilizing college students in both countries. No significant cultural differences were found in online service dimensions of service satisfaction. Personalization was the most frequently mentioned online service dimension of service satisfaction both in the U.S. and Korea. The findings showed significant cultural differences in terms of online service dimensions responsible for service failure and recovery. For Korean consumers, merchandising was one of the key online service dimensions of service failure, while efficiency was the important service dimension resulting in service failure for the U.S. consumers. In addition, for U.S. consumers, efficiency and personalization were the two most frequently mentioned service dimension for service recovery, while Korean consumers put more importance on the contact and information dimensions for service recovery. This study provided a comprehensive list of online service attributes important to online apparel retailing.

• Asia Marketing Journal
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• v.17 no.2
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• pp.97-125
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• 2015

In this study, we tried to evaluate the relative importance and find out the differences in consumer perceptions regarding service recovery strategies and the service provider in the distribution industry by using AHP (Analytic Hierarchy Process) analysis method. Therefore in this study, we tried to systematize various recovery strategies which were considered very important during service failure process in the distribution industry and analyze the relative importance for each recovery strategy. We set hierarchy composed of four items of monetary, action-oriented, psychological, and assured level as primary selection criteria and a total of 16 items(indemnity, refund, gift, gift certificate, prompt resolution, exchange, manager support, explanation, apology, empathy, acknowledge, kindness, assortment, after service, manage subcontractor, manage employee) as secondary selection criteria. We tried to take one step further from the service sector and study service recovery strategies specialized in distributor services. This study suggests various implications about service recovery strategies of distributors. First, this study can provide practical implications - e.g. service recovery efforts should be applied differently depending on service channels. There is a perceptual difference with respect to the importance of the types of service recovery strategies between service provider and final customer. Second, we can find theoretical implications in terms of identifying the priorities through hierarchy design of new recovery strategies and comparison of each element from the classifications of the current fractional recovery strategies. We hope to help service providers to build more efficient recovery strategy system based on the results of this study.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.5
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• pp.44-54
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• 2008

The objective of this research is to develop a measurement instrument for service recovery quality in the Internet commerce setting. To this same end, Parasuraman et al.(2005) have devised a scale called E-RecS-QUAL, which we revised and supplemented to develop another instrument named eSR-Q. To guarantee its reliability and validity, this instrument went through the refinement and validation processes for internal consistency and construct validity in terms of convergent, discriminant, and nomological validity. Our final scale consists of four dimensions including responsiveness, compensation, contact, and apologies altogether with fourteen measures. Overall, this research deals with the related research background, the scale development and validation processes, its limitations, and future research directions.

• Journal of Global Scholars of Marketing Science
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• v.19 no.4
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• pp.57-63
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• 2009

With an exponential increase in electronic commerce (e-commerce), marketers are attempting to gain a competitive advantage by emphasizing service quality and post interaction service aspects, which leads to customer satisfaction or behavioral consequence. Particularly for apparel, service quality is one of the key determinants in encouraging customer e-loyalty, and hence the success of apparel retailing in the context of electronic commerce. Therefore, this study explores e-service quality (E-SERVQUAL) factors and their unique effects on e-loyalty for apparel online shopping based on Parasuraman et al' s (2005) framework. Specific objectives of this study are to identify underlying dimension of E-SERVQUAL, and analyze a structural model for examining the effect of E-SERVQUAL on e-loyalty for online apparel shopping. For the theoretical framework of service quality in the context of online shopping, literatures on traditional and electronic service quality factors were comparatively reviewed, and two aspects of core and recovery services were identified. This study hypothesized that E-SERVQUAL has an effect on e-loyalty; customer satisfaction has a positive effect on e-service loyalty for apparel online shopping; and customer satisfaction mediates in the effect of E-SERVQUAL on e-loyalty for apparel online shopping. A self-administered questionnaire was developed based on literatures. A total of 252 usable questionnaires were obtained from online consumers who had purchase experience with online shopping for apparel products and reside in standard metropolitan areas, in the United States. Factor analysis (e.g., exploratory, confirmatory) was conducted to assess the validity and reliability and the structural equation model including measurement and structural models was estimated via LISREL 8.8 program. Findings showed that the E-SERVQUAL of shopping websites for apparel consisted of five factors: Compensation, Fulfillment, Efficiency, System Availability, and Responsiveness. This supports Parasuraman (2005)'s E-S-QUAL encompassing two aspects of core service (e.g., fulfillment, efficiency, system availability) and recovery related service (e.g., compensation, responsiveness) in the context of apparel shopping online. In the structural equation model, there are five exogenous latent variables for e-SERVQUAL factors; and two endogenous latent variables (e.g., customer satisfaction, e-loyalty). For the measurement model, the factor loadings for each respective construct were statistically significant and were greater than .60 and internal consistency reliabilities ranged from .85 to .88. In the estimated structural model of the e-SERVEQUAL factors, the system availability was found to have direct and positive effect on e-loyalty, whereas efficiency had a negative effect on e-loyalty for apparel online shopping. However, fulfillment was not a significant predictor for explaining consequences of E-SERVQUAL for apparel online shopping. This finding implies that perceived service quality of system available was likely to increase customer satisfaction for apparel online shopping. However, it was not supported that e-loyalty was determined by service quality, because service quality has an indirect effect on e-loyalty (i.e., repurchase intention) by mediating effect of value or satisfaction in the context of online shopping for apparel. In addition, both compensation and responsiveness were found to have a significant impact on customer satisfaction, which influenced e-loyalty for apparel online shopping. Thus, there was significant indirect effect of compensation and responsiveness on e-loyalty. This suggests that the recovery-specific service factors play an important role in maximizing customer satisfaction levels and then maintaining customer loyalty to the online shopping site for apparel. The findings have both managerial and research implications. Fashion marketers can establish long-term relationship with their customers based on continuously measuring customer perceptions for recovery-related service quality, such as quick responses to problem and returns, and compensation for customers' problem after their purchases. In order to maintain e-loyalty, recovery services play an important role in the first choice websites for consumers to purchase clothing. Given that online consumers may shop anywhere, a marketing strategy for improving competitive advantages is to provide better service quality, maximize satisfaction, and turn to creating customers' e-loyalty for apparel online shopping. From a researcher's perspective, there are some limitations of this research that should be considered when interpreting its findings. For future research, findings provide a basis for the further study of this important topic along both theoretical and empirical dimensions. Based on the findings, more comprehensive models for predicting E-SERVQUAL's consequences can be developed and tested. For global fashion marketing, this study can expand to a cross-cultural approach into e-service quality for apparel by including multinational samples.

• Journal of Global Scholars of Marketing Science
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• v.15 no.1
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• pp.61-79
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• 2005

A critical incident technique(CIT) was employed to show the results of empirical findings regarding hotel services. The major purpose of this study was to describe and analyze service failures from the customers' point of view and thus suggest strategic implications for hotel service providers. Four-hundred sixteen service failure anecdotes from hotel customers were classified using Hoffman et al.'s(1995) approach. The CIT data showed the three major categories and eleven sub-categories and revealed that, in general, tangible recovery(e.g., upgrade, free meal, discount) was more effective than intangible one(e.g., explanation, canned apology, manager's apology). Interestingly, however, sincere apology seemed to be a better recovery strategy than other types of tangible recovery. Furthermore, the results showed that severity of service failure had its own impact on customers' perception regarding hotel's service recovery efforts. In particular, irrespective of service recovery, severity of service problem was negatively related to intention to repurchase. Managerial implications and future research agenda was also discussed.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.115-125
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• 2013

Unexpected consumer dissatisfaction emerges through rapid growth and expansion of on-line shopping channel. This research focused on the fashion online retail channels' negative aspect caused by service failure which possibly disappointed consumers. We also tried to seek for appropriate service recovery types based on frequently offered recovery types on-line. Data from college students were analyzed. Results indicate that fitting problem, insufficient information, product defect, inventory problem and slow delivery were the main service failure types in apparel e-shopping. Regression analysis identified that among these types, insufficient information, product defect, and slow delivery had significant influence on channel satisfaction after post recovery effort. Results also confirmed significant relationships between channel satisfaction and channel switching. Consumers perceived benefit level causes overall channel satisfaction level to rise while perceived risk leads to lower level of channel satisfaction. Choosing desirable service recovery activities in each service failure situations is necessary in order to raise consumer's channel satisfaction in online apparel shopping.

• Proceedings of the CALSEC Conference
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• 2003.09a
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• pp.109-114
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• 2003

WS-BPMS(web service driven business process management system)은 기업 내 또는 비즈니스 파트너들 간의 비즈니스 프로세스를 체계적으로 통합, 관리하여 프로세스를 개선하고 자동화한다. 이는 비즈니스 프로세스를 검색한 후 BPEL4WS, BPML 등의 프로세스 메타모델을 이용하여 새 프로세스를 디자인하고 BPMS위에 전개 실행하는 과정을 거치게 된다. 디자인된 프로세스는 복잡하여 그 실행에 있어 체계적이고 확고한 기반을 바탕으로 운영되어야 한다. 이를 위해 본 논문에서는 BPMS의 운영에 있어 pi-calculus를 기반으로 한 structured exception handling 방법론과 transaction 모니터링을 통한 backward recovery 방법을 제시한다.