• Title/Summary/Keyword: Distribution of Customer Satisfaction

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Antecedents of Customer Loyalty: Study from the Indonesia's Largest E-commerce

  • RIZAN, Mohamad;FEBRILIA, Ika;WIBOWO, Agus;PRATIWI, Rianti Dea Rizky
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.283-293
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    • 2020
  • This study examines the effect of service quality and perceived value on customer loyalty with the intervening role of customers' satisfaction in the e-commerce industry. The research method uses a quantitative research design with a survey model. The sample used in this study is Tokopedia consumers who live in DKI Jakarta and have done online shopping at Tokopedia at least twice in the last six months. All variables used were reliable and valid and met the research requirements. The object of this research were the 200 customer respondents who had made purchases on the largest e-commerce platform of Indonesia, Tokopedia. Data analysis was done by using SPSS and Structural Equation Modeling (SEM). The results show that: first, the service quality and perceived value affect customer satisfaction positively. Second, there is a mediating effect of customer satisfaction on the relationship between service quality and perceived value on customer loyalty. Third, service quality and perceived value directly affect customer loyalty positively but insignificantly. The result implies that the role of customer satisfaction is significant in creating loyalty. In the e-commerce industry, good quality and perception could positively influence customers but not necessarily form loyalty. For that, e-commerce players should pay a lot of attention on customer satisfaction.

The Effect of Product Knowledge and Service Quality on Customer Satisfaction

  • AL IDRUS, Salim;ABDUSSAKIR, Abdussakir;DJAKFAR, Muhammad;AL IDRUS, Shofiyah
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.927-938
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    • 2021
  • Small and Medium Enterprises (SMEs) is one of several activators that drives the economy of Indonesia because SMEs provide jobs, increase Gross Domestic Product (GDP), and assure the delivery of products and services. However, Indonesian SMEs are not very competitive in the industrial world, and one of the causes is the low quality of products that undermine customer satisfaction. There are several factors presumed as influencing customer satisfaction, which among others include product knowledge, service quality, and competitive advantage. The objective of this research is to reveal the contribution of product knowledge and service quality to customer satisfaction with competitive advantage as the mediation variable. This research used a quantitative approach. The causal relationship across variables was examined with Structural Equation Modeling-Partial Least Squares (SEM-PLS). The sample of this research involved 140 respondents. Data was collected through a questionnaire and the items in the questionnaire were processed with a software called SmartPLS version 3.3.2. Results of this research indicate (1) product knowledge and service quality can increase competitive advantage and customer satisfaction in East Java SMEs; (2) competitive advantage can act as a mediator in the effect of service quality on customer satisfaction (3) product knowledge can increase customer satisfaction but the increase is not significant statistically.

Reflective Model of Brand Awareness on Repurchase Intention and Customer Satisfaction

  • ILYAS, Gunawan Bata;RAHMI, Sri;TAMSAH, Hasmin;MUNIR, Abdul Razak;PUTRA, Aditya Halim Perdana Kusuma
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.427-438
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    • 2020
  • This study aims to analyze and confirm brand awareness' role in influencing the repurchase intention both directly and indirectly on customer satisfaction variables and repurchase intention variables. The contribution brought by this study is to reflect manifest variables such as recall, purchase, and consumption. The number of respondents in this study was 200 samples using the online survey data collection method (Google form), while the research approach is quantitative explanatory. The data analysis test tools include the Structural Equation Modeling (SEM) approach with AMOS as a statistical data analysis software and Sobel test to indirectly test the relationship. This study consists of four hypotheses, of which three hypotheses are positively and significantly related (brand awareness on repurchase intention, brand awareness on customer satisfaction, and customer satisfaction on repurchase intention). Through indirect relationship, namely, brand awareness on repurchase intention through customer satisfaction, the study showed no significant effect. In a comprehensive way, this study emphasizes the factor of customer satisfaction as a determinant of consumer loyalty and repurchase intention. Therefore, creating optimal customer satisfaction, service excellence, promotion and massive advertising, guaranteeing the safety and ease-of-use apps, and ease of shopping, especially for e-commerce industry, is a serious concern.

Does Online Travel & Retail Distribution Agency's e-Service Quality Improve Customer Satisfaction, Trust, and Loyalty?

  • Wen Rou XIANG;Yong-Ki LEE;Wen Long WANG
    • Journal of Distribution Science
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    • v.22 no.10
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    • pp.91-102
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    • 2024
  • Purpose: This study exploresthe impact of e-service quality (e-SQ) on satisfaction, trust, and loyalty within Chinese online travel retail distribution agencies (OTRDAs) using the SOR (stimulus-organism-response) model. In addition, this research examines the mediating roles of satisfaction and trust in the relationship between e-SQ and loyalty. In the model, e-SQ encompasses four sub-dimensions, such as information, efficiency, reliability, and security. Research design, data, and methodology: Data were collected from 401 respondents through an online survey. The data were analyzed using SPSS 25.0 and SmartPLS 4.1 to test the relationships among the variables. Results: The findings reveal that information, efficiency, reliability, and security positively influence satisfaction and trust. Both satisfaction and trust, in turn, significantly enhance loyalty. Mediation analysisindicatesthat satisfaction and trust partially mediate the relationship between e-SQ and loyalty. Conclusions: The study highlights the direct effects of e-SQ components on satisfaction and trust, as well as their indirect effects on loyalty within the OTRDA framework. Notably, trust exerts a stronger influence on loyalty than satisfaction, underscoring the importance of trust as a mediator in the satisfaction-loyalty relationship. Consequently, customer loyalty programs for OTRDAs should prioritize trust evaluations alongside satisfaction measures.

The Influence of E-commerce Logistics Service Quality on Customer Engagement Behavior

  • Dongxu ZHANG;Zhuoqi TENG;Mufeng LI;Renhong WU
    • The Journal of Economics, Marketing and Management
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    • v.11 no.2
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    • pp.1-11
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    • 2023
  • Purpose: With the rapid development of e-commerce, logistics services, as an important part of e-commerce shopping, have gradually attracted people's attention. Customer engagement behavior is a new topic in marketing, and its connotation is still being explored. The purpose of this paper is to study the relationship between logistics service quality and customer engagement behavior. Research design, data and methodology: This study employed the method of online questionnaire survey, with Chinese e-commerce platform users as the survey objects, 248 valid survey sample data were collected, and the method of factor analysis and structural equation model analysis was used to verify the research hypothesis model constructed in this paper. Results: The four dimensions of e-commerce logistics service quality have different influences on customer satisfaction, and the influence of availability on customer satisfaction is not significant. Convenience, assurance, and security have a significant positive impact on customer satisfaction; Customer satisfaction has a significant positive impact on the three dimensions of customer engagement behavior: customer repeat purchase behavior, online word-of-mouth, and customer referrals. Conclusion: The results of this study will provide useful reference for the managers of e-commerce companies to improve customer engagement behavior by improving the logistics service quality.

A Study on the Service Quality Improvement by Kano Model & Weighted Potential Customer Satisfaction Index (Kano 모델 및 가중 PCSI를 통한 서비스품질 개선에 관한 연구)

  • Kim, Sang-Cheol
    • Journal of Distribution Science
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    • v.8 no.4
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    • pp.17-23
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    • 2010
  • The Banking industry is expanding rapidly. To keep the competitive advantages, participating companies concentrate their resource to provide the distinguishable services by increasing the service quality. This study is to find that how three kinds of service quality(process, output, and service environment) affect on the customer satisfaction. In this paper, WPCSI (Weighted Potential Customer Satisfaction Index) was developed using Kano model and PCSI. Kano's model of service quality classification was used to improve customer satisfaction, customer satisfaction index was calculated. Customer satisfaction index was calculated using the existing potential for improving customer satisfaction index (PCSI Index) to complement the limitations of the weighted potential improve customer satisfaction index (WPCSI) were used. Analysis using PCSI improve the quality of service levels may be useful in assessing. However, this figure is a marginal degree of importance on customers and quality characteristics have been overlooked but has its problems. A service provided to customers with some important differences depending on the interpretation of the scope for improvement is to be classified. In other words, the level of customer satisfaction and the satisfaction of the current difference between the comparison factor for the company to provide information about the priority of the improvement was not significant. Companies are also considered important that the customer does not consider the uniform quality of service provided can be fallible. In this study, the weighted potential to improve it improve customer satisfaction index (WPCSI) proposed a new customer satisfaction index. This is for customers to recognize the importance of quality characteristics by weighting factors, to identify practical and improved priority to provide more useful information than has been. Weighted potentially improve customer satisfaction index (WPCSI) presented in this study by the customers aware of the importance of considering the quality factor is an exponent. The results, 'Employees' working ability', 'provided the desired service level', 'staff to handle this task quickly enough' to the customer of the factors had significant effects on satisfaction are met. On the other hand 'aggressiveness on the product description of employees', 'service environment as a whole, beautiful enough to' meet and shows no significant difference between satisfaction. But 'aggressiveness on the product description of employees' and reverse (逆) were attributable to the quality. Small dogs and overly aggressive products that encourage the customer dissatisfaction that can result in widening should be careful because the quality factor can be said. As a result, WPCSI is more effect to find critical factors which can affect customer satisfaction than PCSI. After that, we discuss effects and advantages of customer satisfaction using WPCSI. This study, along with these positive aspects, the limitations are implied. First, this study directly to the bank so that I could visit any other way for customers, utilizing the Internet or mobile to take advantage of the respondents were excluded from the analysis. Second, in survey questionnaires can help improve understanding of the measures will be taken. In addition to the survey targeted mainly focused on Seoul, according to a sample, so sampling can cause problems is the viscosity revealed intends.

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An Empirical Study on Nonlinear Relationship between Product Modularity and Customer Satisfaction (제품의 모듈화 전략과 고객만족의 비선형적 관계에 대한 실증적 연구)

  • Hwang, Sunil;Suh, Eung-Kyo
    • The Journal of Industrial Distribution & Business
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    • v.9 no.2
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    • pp.47-55
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    • 2018
  • Purpose - To meet the needs of various customers in an uncertain market environment, many companies use product modularization strategies. Modularization of a product means that one product consists of several components and that the type of product can be changed according to the combination of components. The greatest feature of modularity is that changes in one component do not significantly affect the physical changes in the other component to which they are connected. Modularization of products is recognized as a very important strategy to reflect increasingly complicated customer requirements to products and respond to the needs of various markets. Many studies have been made in connection with the concept of mass customer satisfaction. There are many prior studies that modularization of such products positively affects the operational performance (manufacturing cost, fast delivery, etc.) and innovation of the product. However, excessive modularization has been found to have a negative effect on this performance. However, there are very few studies on the nonlinear relationship between product modularization and customer satisfaction. Supplementing these academically insufficient parts is very necessary when considering the current market environment. Research design, data, and methodology - In order to make up for the shortcomings of academic research in Korea, this study collects data through questionnaires in electronic, auto, and defense industry. This is because these industries are using modularity of products. based on lots of previous studies and information overload theory, we made two hypothesis and verify with empirical analysis. All 108 data were used. We used the R program and SPSS program for statistical verification. Results - As a result of the study, modularization of products showed positive relationship with customer satisfaction to a certain level. However, it has been found that when the modularization is over and beyond a certain level, there is a negative relationship with customer satisfaction. Conclusions - Excessive modularization of products can have a negative impact on customer satisfaction. This result can be understood as a result of human limited rationality due to information overload. Therefore, it is important for companies to apply appropriate modularity to product design.

A Study on the Effects of Perceived Value on Customer Satisfaction, and Repurchase Intention among Traditional Markets Users in KOREA (지각된 가치가 고객만족과 재구매 의도에 미치는 영향에 관한 연구 : 전통시장 이용 고객을 중심으로)

  • Cho, Joon-Sang
    • Journal of Distribution Science
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    • v.11 no.10
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    • pp.93-105
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    • 2013
  • Purpose - This empirical analysis determines the structured causal relations between perceived value, customer satisfaction, and repurchase intention among users of traditional markets. The results of this analysis would help merchants and market operators indevisingan appropriate strategy to successfully manage traditional markets. Research design, data, methodology - The perceived value model of traditional markets includes functional value (price), functional value (quality), emotional value, and social value. In this study, the perceived value of traditional markets is considered as an independent variable, while customer satisfaction and repurchase intention are shown as the dependent variables, where customer satisfaction is also considered as the mediating variable. The study aims to ascertain the extent of influence of the perceived value of traditional markets on customer satisfaction and repurchase intention. We use regression analysis to verify the effects. The measurement items were already deemed as reliable and valid in the previous study, but for this purpose, we made some modifications. We distributed questionnaires to 300 consumers on a national scale, and finally used 241 consumer responses among these as a sample. We analyzed the data using the SPSS 21.0 statistical program. Results - We obtained the following results. First, the order of perceived value dimensions of traditional markets that positively impact customer satisfaction is functional value (price), social value, emotional value, and functional value (quality). Second, the perceived value sometimes directly affects repurchase intention; its effect is typically strong with customer satisfaction as a parameter. The order of perceived value dimensions that positively impact repurchase intention is social value, functional value (price), emotional value, and functional value (quality). Third, the perceived value significantly influences repurchase intention, with customer satisfaction as the mediating variable. Conclusions - We should recognize the importance of perceived value in retail distribution markets, such as traditional markets. Moreover, we need to develop strategies to improve the perceived value. The practical implications of the study are as follows. First, with regards to functional value (quality; price) dimensions, we should have an appropriate assortment of high quality products that are reasonably priced. In addition, customers are satisfied with the friendly service, discounts, and other benefits provided by the merchants. Second, in terms of emotional value dimension, we need to develop differentiated events that provide fun and emotional experience to the customers. Third, in the context of social values dimension, we should strive to positively influence society to enhance social image through activities such as social services and contribution to community development. On the basis of these results, we present the implications, limitations, and future directions for the research. One of the policy implications of the study is that merchants of traditional markets must actively select customers and develop customer value. However, this study is limited in the fact that the population used for data collection is not fully representative, as the survey only covered some specific areas. Moreover, future studies could also benefit with additional research using moderating variables.

Customer Satisfaction at Tiki.vn E-Commerce Platform

  • GIAO, Ha Nam Khanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.4
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    • pp.173-183
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    • 2020
  • This study has four objectives: (1) Identifying factors that affect customer satisfaction on online service quality of Tiki.vn, (2) Measuring the level of impact of the factors, (3) Testing the difference in satisfaction among groups of customers with different characteristics in terms of gender, age, income, academic level, and occupation, and (4) Proposing some managerial implications to improve the quality of online services by interviewing directly and online 200 individual customers who have shopped at Tiki.vn E-commerce platform for at least the last six months, using the convenient sampling method. This study analyzes the reliability of the scale through the Cronbach's alpha coefficient, Exploratory factor analysis, and Linear regression analysis. The findings identified four factors that influence positively customer satisfaction regarding the quality of online services in Tiki.vn E-commerce platform in the order of descending strength: (1) Trust, (2) Customer service, (3) Web design and (4) Safety. In addition, the results show no difference in customer satisfaction according to different academic levels, but in terms of occupation and income, gender, and age. The results show that the factors influencing most customer satisfaction are Reliability and Customer Service. Some managerial implications are then proposed to improve the quality of online shopping services at Tiki.vn.

Influence of JD Platform Return Reverse Logistics Service Quality on Customers' Repurchase Intention

  • Jiali PENG;Xinyu CHANG;Han ZHANG;Aocheng WU
    • 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.