• International Journal of Computer Science & Network Security
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• v.23 no.8
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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 %.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.201-210
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• 2020

The study aims to investigate determinants of performance indicator and perceptions of existing and potential customers in accommodation sharing. This study uses data of Airbnb in Busan and Jeju from January 1 to December 31 in 2018, provided by AirDNA. The total number of listed accommodation sharing were 5,109 accommodations in Busan and 11,502 accommodations in Jeju. More than 90 property types of registered accommodation are subcategorized and re-classified in this study. Study 1 examined current usage and effects of factors on performance indicator in tourism destinations by applying Airbnb data. Study 2 investigated effects of perceived factors on satisfaction, intention to use, loyalty, and tourism competitiveness by applying online survey data. This study applies statistical analyses such as factor and regression analyses, ANOVA, t-test, and MANOVA. Results of Study 1 showed that usage and effects of accommodation sharing differ from regulation that is related to sharing types. Effects also differ based on travel destinations. Results of Study 2 showed how customers perceive accommodation sharing differ from pure meaning of sharing. The results of Study 1 and 2 found significant effects of price and service factors on performance indicator and customer satisfaction. The findings of Study 2 showed significant effects on loyalty and tourism competitiveness.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.27-37
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• 2022

Purpose: The purpose of this study is to derive various ways to realize customer satisfaction for the development of the service industry by exploring research trends related to customer satisfaction, which is presented as an important goal in the service industry. Research design, data and methodology: To this end, 1,456 papers with English abstracts using scienceON were used for analysis. Using Python 3.7, word frequency and co-occurrence analysis were confirmed, and topics related to research trends were classified through BERTopic and LDA. Results: As a result of word frequency and co-occurrence frequency analysis, words such as quality, intention, and loyalty appeared frequently. As a result of BERTopic and LDA, 11 topics such as 'catering service' and 'brand justice' were derived. As a result of trend analysis, it was confirmed that 'brand justice' and 'internet shopping' are emerging as relatively important research topics, but CRM is less interested. Conclusions: The results of this study showed that the 7P marketing strategy is working to some extent. Therefore, it is proposed to conduct research related to acquisition of good customers through service price, customer lifetime value application, and customer segmentation that are expected to be needed for the development of the service industry.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.2
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• pp.137-157
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• 2014

This study analyzed the general user behaviors and the perceptions on service quality, satisfaction, loyalty of the users of the special winter vacation programs at the public libraries in Daegu Metropolitan City. Among the 444 collected questionnaires from the participants in the programs at 8 public libraries in the City, a total of 300 were analyzed for the study. As results, many participants have visited the libraries with their family members, and have applied the programs through the helps from their parents. They rated higher the service quality, the satisfaction, and the loyalty than other child users of the children's services as well as the adult participants of the cultural programs and of the public libraries. In the analysis of the structural equation model (SEM) on the service quality, customer satisfaction and loyalty, all of the service quality factors of special winter vacation programs, namely program contents and instructors, staff supports and services, and facilities and equipments, have significant effects on the user satisfaction. Staff supports and services factor of the service quality has significant direct effects on loyalty along with the overall satisfaction, but program contents and instructors factor and facilities and equipments factor have no significant direct effects on loyalty.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.407-408
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• 2019

This thesis determines the research framework and scale design of leisure food E-Commerce consumer satisfaction degree by referring to previous theoretical model of customer satisfaction degree, the universal satisfaction evaluation index system, and the characteristics of leisure food E-Commerce in China. In this research, consumers who have bought leisure food online are taken as the research object, data are collected by questionnaires, and exploratory factor method is used to screen valid sample data. Through the Empirical Analysis which includes Descriptive Statistical Analysis, Reliability and Validity Analysis and Structural Equation Modeling, it is concluded that website design, logistics delivery service, commodity quality, and after-sales service are the main service quality on which the Leisure food E-Commerce enterprises should take focus. The service quality has significant positive influences on satisfaction degree. On the other hand consumer satisfaction has a significant positive influence on customer loyalty, which will create more earnings for the Leisure food E-Commerce enterprises.

• Culinary science and hospitality research
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• v.23 no.7
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• pp.11-19
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• 2017

The objective of this research was to identify the factors that affects the customer's satisfaction and dissatisfaction of theme parks. This research focused on Sunway Lagoon. The reason Sunway Lagoon was selected was because of the vast number of visitors in Sunway Lagoon for the last few years. It enables the researchers to acquire sufficient amount of information to conduct a research. The factors which affects the customers' satisfaction are the behavior of the generation Y; service experience evaluation, perceived price, emotions, and servicescape. The limitation of this research was inadequate time to perform in-depth investigation on the research. The research study implemented qualitative research, thus the interview was used as a data collection. Since Sunway Lagoon was selected as the research setting, the face-to-face interview with 10 participants was conducted in the setting. This research is vital because it enables the organizations to determine factors that influence the customer's satisfaction and future behavioral intentions. As a result, organizations are able to achieve higher levels of customer satisfaction as well as promoting customer loyalty.

• 한국항공운항학회:학술대회논문집
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• 2015.11a
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• pp.198-211
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• 2015

Aviation industry, which is highly dependent on human resources, emphasizes airline's human resources management and performance check because quality of services provided to customers is closely related to airline's employees. Because roles of cabin crews take a significant portion of services provided to customers, airlines and cabin crews represent an inseparable relationship. Attitudes of cabin crews who plays the role of facing and dealing with customers directly in the process of providing flight related services are an essential factor that determines an image of an airline and actually have significant impact on the performance as well. By increasing performance satisfaction of cabin crews, organizational loyalty can be strengthened and such successful human resources management could have a positive effect on increasing customer satisfaction as well as revenues. From corporate's perspective, performance satisfaction of an employee is a crucial factor that decides the quality of service provided to customers that supports employee retention as well as client retention. This can eventually lead to organization loyalty that can positively affect overall work performance. Thus if corporates put efforts in and invests to improve and develop favorable attitudes and service quality within employees, performance satisfaction and organizational goals will be more effectively achieved.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.5
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• pp.115-126
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• 2011

This study focused on analyzing the effects of ease of use, usefulness on switching barrier and loyalty in the Korean telecommunication market. This study formulated a structural equational model, in which ease of use was adapted as an exogenous variable and in which usefulness, switching barrier were included as intermediate variables, having influences to the endogenous variable such as customer satisfaction and loyalty. In this study 6 hypotheses had been formulated, on which this research model was based, in order to test the significance of structured paths, suggested, in the previous articles, that having high interactive effects. This study collected the effective questionnaires of 452 respondents who had jobs nationwide and who used the telecommunication terminals and then analyzed with AMOS19 and SPSS19 to test the hypotheses. As a result, the conclusions are as follows: First, the ease of use and usefulness had significant effects on the switching barrier. Secondly, ease of use had a significant effect on the usefulness of customers, by which customers' satisfaction was influenced at low significant level. After all, the effects of ease of use and usefulness on switching barrier and satisfaction of the users of smart phones had been shown at the highest level.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.467-474
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• 2023

After the revision of the Software Promotion Act, small and medium-sized enterprises (SMEs) with little experience in e-government projects began to participate in public projects. Accordingly, the government introduced the public Project Management Office (PMO) in July 2013 to reduce the risks and secure the quality of informatization business, and the public PMO is still spreading. However, the public PMO service currently experiences sluggish business, such as low-priced orders, due to cut-throat competition, and thus needs improvement plans. In this research, we establish a research model for quality factors of public PMO services that can be considered for the improvement plans, measure and evaluate quality factors based on the model, and then analyze the impact of service quality on customer satisfaction and customer loyalty. For that, we measure quality factors using the SERVPERF model for those who have used public PMO services, establish a structural equation research model, and empirically analyze and evaluate the impact of quality factors. Lastly, we suggest improvement plans and implications for public PMO services.

• Korea Trade Review
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• v.45 no.5
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• pp.201-222
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• 2020

This paper examines that determinants of BAOMAI, (i.e., behavior of Chinese tourist bulk purchase in duty free shop) with analytical framework and empirical tests. The results of applying the structural equation modeling to 196 samples suggest that Chinese tourist consumption orientations (conspicuous/compulsive/unplanned consumption) have a positive effect on BAOMAI decision value chain (perceived value and loyalty). The marketing mix of duty free shop as control variables in research framework also have a positive effect on BAOMAI perceived values (functional/social/emotional value). This paper has a contribution to prior literatures: the first empirical analysis on BAOMAI determinants with exploring scholarly definition.