• 융합경영연구
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• 제11권2호
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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.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.983-992
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• 2021

This study aims to examine the impact of customer experience and customer engagement on customer satisfaction and customer loyalty in e-retailing in Indonesia. This study uses data from 512 respondents in six e-retailing namely; Bukalapak, Tokopedia, Lazada, Blibli, Shopee and Zalora which are often used by students at the Department of Management, Faculty of Economics and Business, Halu Oleo University of Indonesia. The structural model developed in this study was tested using Partial Least Squared (PLS). The results of the study found that there was a reciprocal relationship between customer experience and customer engagement. The results also found that customer experience and customer engagement have a positive and significant effect on customer satisfaction and customer loyalty. Customer satisfaction have a positive and significant effect on customer loyalty. In this study it was also found that customer experience has an indirect effect on customer satisfaction and customer loyalty through customer engagement, and customer engagement also has an indirect effect on customer satisfaction and customer loyalty through customer engagement. This study was focused on relationship between customer experience, customer engagement, satisfaction and loyalty. Therefore, future research is expected to be able to test the determinant factors of customer experience and customer engagement.

• Journal of the Korean Data and Information Science Society
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• 제16권2호
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• pp.301-311
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• 2005

This study has conducted to measure the internet banking customer satisfaction using structured equation model. Data was collected by e-mail system. Among survey panel who had experience of using Hanwha-Bank internet banking service, final samples were 2,848 respondents. The results showed that usage convenience and economy factor was most correlated with customer satisfaction. And we found that word-of-mouth behavior was affected customer satisfaction.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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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.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.190-198
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• 2023

To enhance customer satisfaction for higher profits, an e-commerce sector can establish a continuous relationship and acquire new customers. Utilize machine-learning models to analyse their customer's behavioural evidence to produce their competitive advantage to the e-commerce platform by helping to improve overall satisfaction. These models will forecast customers who will churn and churn causes. Forecasts are used to build unique business strategies and services offers. This work is intended to develop a machine-learning model that can accurately forecast retainable customers of the entire e-commerce customer data. Developing predictive models classifying different imbalanced data effectively is a major challenge in collected data and machine learning algorithms. Build a machine learning model for solving class imbalance and forecast customers. The satisfaction accuracy is used for this research as evaluation metrics. This paper aims to enable to evaluate the use of different machine learning models utilized to forecast satisfaction. For this research paper are selected three analytical methods come from various classifications of learning. Classifier Selection, the efficiency of various classifiers like Random Forest, Logistic Regression, SVM, and Gradient Boosting Algorithm. Models have been used for a dataset of 8000 records of e-commerce websites and apps. Results indicate the best accuracy in determining satisfaction class with both gradient-boosting algorithm classifications. The results showed maximum accuracy compared to other algorithms, including Gradient Boosting Algorithm, Support Vector Machine Algorithm, Random Forest Algorithm, and logistic regression Algorithm. The best model developed for this paper to forecast satisfaction customers and accuracy achieve 88 %.

• 유통과학연구
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• 제15권8호
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• pp.75-86
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• 2017

Purpose - The online-to-offline (O2O) business model has brought considerable changes to the traditional Chinese business model. The main difference between O2O and pure online consumption is that O2O offers a richer experience and word-of-mouth. it is easier to trigger online word-of-mouth. However, few scholars have been concerned about the impact of experiential value on customer satisfaction and online word-of-mouth (e-WOM) in the study of O2O. This study takes the O2O business model in China's catering industry as its research object and uses structural equation modelling to analyze the impact of online and offline experiential values on customer satisfaction and e-WOM. Research design, data, and methodology - According to previous researches, consumer experiential value is mainly divided into return on investment (economy and efficiency), service excellence, playfulness and aesthetics. According to the characteristics of O2O in China's catering industry, this study divides the online experience value into efficiency and economy (return on investment). The offline part is divided into return on investment (economy and efficiency), service excellence, playfulness and aesthetics. Using a web-based survey, we collected 303 valid samples. Structural equation modelling was used to create the research model. Results - The results show that efficiency (online) and service excellence (offline) have a significant effect on customer satisfaction. Economics (online) and playfulness (offline) have a positive impact on customers' e-WOM. In addition, the higher the customer satisfaction, the greater the positive impact on the spread by word of mouth. However, aesthetic(offline) and return on investment(offline) have no significant impact to customer satisfaction and e-WOM. Conclusions - The study findings show that the key to boost customer satisfaction in the catering industry is to improve product quality and service. Although traditional competitive strategies such as online discount have been questioned by many scholars about their decreasing effectiveness, they are indispensable means to attract online traffic and trigger e-WOM. The traditional enterprises can reconstruct traditional business processes through the O2O model to effectively improve customer satisfaction and word of mouth by improving the experiential value of economy and efficiency. Additionally, it can be used as the natural advantages of online communication to induce customers to engage in word of mouth and attract more potential customers.

• 유통과학연구
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• 제21권12호
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• pp.47-58
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• 2023

Purpose: Post-purchase service in online platforms has created an exciting focus for consumer behavior studies. This study intends to ascertain the impact of post-purchase shipping dimensions (shipping service, tracking service, return service, and customer care) on customer satisfaction and behavior intention. The authors developed a new model considering behavioral intention as the endogenous variable integrated framework of previous studies. Research Design and Methodology: The total sample is 223 respondents, selected using purposive sampling. The data collection uses Google Forms and is analyzed using AMOS Structural Equation Modeling (SEM). Results: Our findings showed shipping, tracking, returns, and customer service positively impact customer satisfaction, and customer satisfaction mediates shipping, returns, and customer service on customer behavior intent. Furthermore, customer satisfaction does not affect the effect of tracking service on customer behavior intention. Conclusion: Our hypothesis of the relationship between the post-purchase dimension and customer satisfaction was supported. However, only two of our three mediating hypotheses are supported. The mediating effect of customer satisfaction on the post-purchase dimension on behavioral intention is insignificant, while their direct relationship was significant. It showed that, concerning tracking service, customer satisfaction is not a requirement for the customer to perform behavioral intention in an e-retail context.

• 마케팅과학연구
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• 제19권4호
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• pp.57-63
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• 2009

随着电子商务指数式增长(电子商务), 营销人员正试图获得通过强调服务质量和服务方面的相互作用而导致客户满意度或行为后果的竞争优势. 特别是对于服装, 服务质量是鼓励客户电子忠诚的关键因素之一, 并增加电子商务中服装零售的成功. 因此, 本研究探讨电子服务质量(电子SERVQUAL)的因素和根据Parasuraman等人(2005)的研究框架对网上服装购物的电子忠诚度的独特影响. 这项研究的具体目标是确定的基本层面的E - SERVQUAL, 分析有关在网上服装购物中电子SERVQUAL对点在忠诚度的影响的结构模型. 对于服务质量, 在网上购物方面的理论框架, 我们比较分析了有关传统和电子服务质量的因素的文献并确定了核心的两个方面和恢复服务. 这项研究的假设是电子SERVQUAL对电子忠诚度的影响. 客户满意度对电子服装网上购物服务的忠诚度有积极影响和客户满意度在电子SERVQUAL对服装网上购物电子忠诚度影响中的中介作用. 根据文献我们制成了一份自填式的问卷. 我们在美国从居住在大城市的有在网上购买服装产品的在线消费者中获得了252份有用的问卷. 通过因子分析(例如, 探索, 验证)评估了有效性和可靠性, 结构方程模型, 包括测量和结构模型, 通过线性结构8.8程序评估了包括测量和结构模型的结构方程模型. 结果显示, 网上购物网站的电子SERVQUAL的五个因素: 赔偿, 执行, 效率, 系统可用性和反应能力. 这支持在网上服装购物方面Parasuraman(2005)的E-S-QUAL包括两个方面的核心服务(如满足, 效率, 系统可用性)和恢复相关的服务(例如, 补偿, 回应). 在结构方程模型中, 有5个电子SERVQUAL因素的外生潜变量, 两个内生潜变量(例如客户满意度, 电子忠诚度). 对于测量模型, 各代表概念的因子载荷有显著的统计学意义, 比 0.60大, 内部一致性信从 0.85 至 0.8 8 不等. 在估计电子SERVEQUAL因素的结构模型, 系统的可用性对电子忠诚的直接和积极的作用, 而效率对网上服装购物的电子忠诚度有负面影响. 然而, 满足不是解释网上服装购物的电子SERVQUAL结果的重要指标. 这一发现意味着, 可被理解为系统提供服务的质量可能会增加对服装网上购物的客户满意度. 然而, 电子忠诚取决于服务质量没有被支持, 因为在网上服装购买中, 通过价值或满意度的中介作用, 服务质量对电子忠诚度(例如再购买意图)有间接影响. 此外, 获得赔偿和回应被发现对客户满意度有显著影响, 会影响网上服装购买的电子忠诚度. 因此, 获得赔偿和回应对电子忠诚度有显著的间接影响. 这表明, 恢复特定的服务因素在客户满意度最大化方面的重要作用, 以及维护客户对网上服装购物网站的忠诚度方面的重要作用. 研究结果在管理和研究方面都有启示. 时装营销者可以在建立与客户的长期关系的基础上, 不断测量顾客感知与恢复服务有关的服务质量等问题, 例如对问题和返回的迅速反应, 客户购买之后的问题赔偿. 为了保持电子忠诚, 在消费者购买服装中恢复服务对消费者第一次选择网站起到重要作用. 由于网上购物的消费者可以在任何地方购物, 提高竞争优势的营销策略是为消费者提供更好的服务质量, 最大限度地满意, 并把创造客户网上服装购买的电子忠诚度. 从研究的角度来看, 解释这些结果时, 本研究的一些局限需要被考虑. 对于未来的研究, 调查结果为这一重要主题理论和实证方面的进一步的研究提供了依据. 根据研究结果, 更全面的模型预测电子SERVQUAL的结果可以被开发和测试. 对全球时装市场, 这项研究可以扩展使用多国样本的跨文化的方法来研究服装的电子服务质量.

• The Journal of Asian Finance, Economics and Business
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• 제9권7호
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• pp.153-171
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• 2022

To measure economic performance, customer satisfaction indices are constructed. This study proposes an index for banking and telecom, a significant evaluative system for comparing and enhancing customer satisfaction across the industries. The study suggests and examines amendments and improvements to the prior indices and incorporates ignored indicators to propose a punier index for Pakistan. The study is a pioneer in integrating online and offline indices into a single comprehensive model. The study is enriched by the Theory of Reasoned Action and Technological Acceptance Model. A sample of 320 respondents was used. The sample was divided based on gender and marital status. To authenticate the theoretical model, PLS-SEM was applied. We discovered nine latent variables that define customer satisfaction and conclude that a single model can be utilized for e-commerce enterprises as well. The index scores are comparable to the American index for banking and the Turkish index for telecom. Multi-group analysis (MGA) was used to comprehend the differences among the groups. This reveals that customization, design, reliability, and responsiveness induce satisfaction in telecom male and married customers. For the banking industry, the difference exists in complaint handling, customization, corporate image, perceived price, reliability, responsiveness, sentiments, convenience, and security to satisfaction links, image and complaint handling to loyalty links.

• 한국IT서비스학회지
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• 제12권1호
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• pp.83-98
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• 2013

Advanced IT of Korea is the important factor that has improved the performance of business to business e-business systems, especially On-Line E-procurement System (KONEPS). Obviously KONEPS is well positioned in businesses of Korea. In order to be higher performance in KONEPS, it needed to be analysed important characteristics composed of KONEPS. Even though KONEPS has been operating well, user's satisfaction and customer loyalty for KONEPS was not high in real businesses. In this research, we tried to find the factors affecting user satisfaction and customer loyalty for KONEPS and figure out the mechanism among the factors. We surveyed using characteristics, which are information diversity, usability, system reliability and stability, on suppliers, main users of KONEPS. We consider the using characteristics as independent factors of the research model. Meanwhile, we model user's satisfaction and customer loyalty as the dependent factors. The results from the study are helpful in providing policies and strategies to promote the use of KONEPS.