In this study, we propose a integrated model of logistic regression, artificial neural networks, support vector machines(SVM), with case-based reasoning(CBR). To predict respondents in the direct marketing is the binary classification problem as like bankruptcy prediction, IDS, churn management and so on. To solve the binary problems, we employed logistic regression, artificial neural networks, SVM. and CBR. CBR is a problem-solving technique and shows significant promise for improving the effectiveness of complex and unstructured decision making, and we can obtain excellent results through CBR in this study. Experimental results show that the classification accuracy of integration model using CBR is superior to logistic regression, artificial neural networks and SVM. When we apply the customer response model to predict respondents in the direct marketing, we have to consider from the view point of profit/cost about the misclassification.
Social network services based on openness, connectedness, and mass participation are reshaping many aspects of how companies conduct business and create value for their customers. For instance, Facebook and Twitter are expected to play a pivotal role as a new communication channel through which companies-forge close relationships with their customers for co-creation of value for mutual benefits. Given the potential of social network services, it is not surprising that many companies have strategically invested in social network services to reach out to customers. Despite the growing interest in social network services as a platform to connect companies and their customers, few guidelines exist about how managers can effectively utilize social network services in forging relationships with their customers. As such, scholars should pay greater attention to how firms can successfully develop relationships with their customers on social network services. In particular, this study employs the S-O-R (stimulus-organism-response) framework as a theoretical lens to develop a research model that explains customers' participation in the value co-creation platform that companies opened on Twitter. According to the S-O-R framework, certain types of individuals' behaviors can be best understood based on a causal link from environmental stimulus to organism, and response. We apply the S-O-R framework to understand how ubiquitous connectivity (stimuli) can influence customers' experience (organism) with companies on Twitter, which in turn influence their participation behavior (response). Two steps have been undertaken to empirically test the research model. First, we conducted a content analysis of tweets written by customers who follow companies on Twitter. As a result, we found event/promotion participation, company support, and giving feedback as three specific types of customer participation behavior. Second, we conducted a web-based survey to test research hypotheses in the research model. Participations in the survey were solicited to customers who followed companies on Twitter. As a result, a total of 115 respondents have completed the survey. Data were analyzed using the partial least square (PLS) technique. The results of data analysis suggest that ubiquitous connectivity (stimuli) had strong positive effects on perceive usefulness, perceived enjoyment, and perceived intimacy (organism). Perceived intimacy showed positive effects on customer participation behavior (response), such as event participation, company support, and giving feedback. Perceived enjoyment was found to have strong positive effects on company support and giving feedback. On the other hand, perceived usefulness did not have significant impacts on the three types of customer participation behavior.
Journal of the Korean Institute of Intelligent Systems
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v.26
no.6
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pp.439-444
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2016
The definition of quality continues to evolve. In recent years, there has been growing interest in how to satisfy customers' potential needs with an emphasis on customer-oriented quality. Two-dimensional quality proposed by Kano provides a useful framework for discovering quality attributes critical to customer satisfaction and it is widely employed for product and service development. In Kano model, quality attributes are classified into attractive, one-dimensional, must-be, indifferent, and reverse ones. Finding attractive elements among them is important for achieving customer satisfaction effectively. However, Kano's classification method has limitations in dealing with customers' ambiguous and complex ideas. The customer response itself includes uncertainty and incompleteness. To overcome this problem, fuzzy methods are incorporated with Kano's classification in this paper. According to numerical comparisons, it is shown that the fuzzy Kano method is useful for accommodating various response of customer and is helpful to identify potential needs.
The Battery Energy Storage System(BESS) has lots of advantages such as load levelling, quick response emergency power(spinning reserve), frequency and voltage control, improvement of reliability, and deferred generation and transmission construction. The economic feasibility requires justification from the customer side of meter to promoting the dissemination of BESS nationally. In this paper, we proposed the economic assessment model of customer owned Battery Energy Storage System(BESS) which is complemented and improved the existing model. The proposed model is applied to the typical customer type(light-industrial commercial, and residential) which are taken from the statistical analysis on the load profile survey of Korea Electric Power COmpany (KEPCO). The economic assessment performed for each customer type to justifying their economic feasibility of BESS installation from the economic measures such as payback period, overall benefits, ROI, and ROR. The results of this paper are useful to the customer investment decision making and the national energy policy & strategy.
The purpose of this research is to find out the impact of quality management and differentiation strategies on customer satisfaction and management performance in family restaurants. In particular, it aims to identify whether such quality management and differentiation strategy have positive influence on customer satisfaction and perceived customer satisfaction as indicated through management performance. For the empirical analysis, a questionnaire survey was applied to a total of 250 customers who experienced family restaurant service in Seoul during the past one year. The model was tested using SPSS 12.0 and visual PLS(partial least squares) programs on a sample of the 198 surveys which showed a 92% usable response rate. The results of empirical analysis showed as follows: 1) quality management has a significant effect on customer satisfaction and differentiation strategies but not significant on management performance. 2) differentiation strategies have a significant effect on customer satisfaction and management performance. 3) customer satisfaction has a significant effect on management performance.
Purpose: The purpose of this study was to propose useful suggestions by analyzing causal effect relationship between sharing bicycle service quality, customer satisfaction, CSV, and continuos use intention in China. Methods: The collected data through the survey were analyzed using structure equation model analysis. The measurement tools used for this study were divided into four dimensions such as service quality, customer satisfaction, creating shared value, and continuous use intention. Results: The results of this study are as follows; regarding the influence of sharing bicycle service quality dimension on customer satisfaction(reliability and response), it was found that customer satisfaction was not significant on economic value. but it was significant on social value. It was found that social value made statistically significant influence on use intention. Conclusion: Sharing bicycle industry needs to activity of response to customer, and paying attention to view of social value for the sharing economy in the future.
With the increase of using Internet in clothing shopping, the gathering of customer information based on online research is emphasized. The purposes of this paper summarized the several aspects of on-line research as new data collection methods and investigate some characteristics through reviewing extant literature on online research. We explored a conceptual model of response behavior for the purpose of the literature in a manner which enhance a deeper understanding of online response behavior. This model was focused on exchange paradigm instead of a "help-the-sponsor" approach. The proposed conceptual framework included questionnaire design, response incentive, commitment, convenience, expertise, response behavior (satisfaction and attitude), and online research performance.
Purpose - There have been numerous studies investigating the effects of corporate social responsibility initiatives on corporate associations or corporate images. In line of this research stream, current research examined the potential impact of customer participation in the process of corporate social responsibility initiatives on attitude toward the company. This research differentiates from previous studies that it is the first to connect corporate social responsibility and customer participation. Specifically, we suggest a structural model on corporate associations which was classified into corporate ability associations and corporate social responsibility associations that the more the customers participate in initiating corporate social responsibility, corporate associations were formed more positively. And this leads to the increase of revisit intentions through customer satisfaction. Research design, data, and methodology - To test our research model, we collected data of real consumers of a large discount store in Korea. At the large discount store, customers were given an opportunity to participate the discount store's CSR activity program. We performed field survey and collected data of 146 respondents. We analyzed the data using PASW statistics 21.0 and AMOS 16.0 in order to test our structural model. Results - The results showed that consumers who participated more in initiating corporate social responsibility revealed higher score for corporate ability associations and corporate social responsibility associations. These corporate associations had a positive effect on customer satisfaction, which leads to higher attitude toward revisit intentions. Specifically, hypothesis 1.1 "As Customer participation in CSR process increases, the evaluation of CA associations will be positive,"was supported. Hypothesis 1.2 "As Customer participation in CSR process increases, the evaluation of CSR associations will be positive," was supported. Hypothesis 2.1 "As the evaluation of CA associations is positive, satisfaction with the firm will increase," was supported. Hypothesis 2.1 "As the evaluation of CSR associations is positive, satisfaction with the firm will increase," was supported. Hypothesis 3 "As satisfaction with the firm increases, revisit intentions with the firm will increase," was supported. Conclusions - This research is the first to study the relationship between customer participation in CSR process, CSR, and consumer reactions. This research also contributes to customer participation and corporate social responsibility literature by suggesting customer participation as an antecedent and empirically demonstrating the positive relationships between the constructs. The findings of this research may offer managerial implications for marketing practitioners. When performing corporate social initiatives, it is better to let the customer participate in the process which leads to higher corporate ability associations and corporate social responsibility associations, also higher satisfaction and revisit intentions. Our results provide useful information to practioners that spontaneous participation of consumers makes CSR initiatives effective and successful. Limitations and ideas for further research remain in this research. For example, our focus on the logic was cognitive evaluations(e.g. corporate associations) but affective dimensions might be considered since recent researches are investigating the relationship between customer participation and affective reaction as a response. Despite the limitations, this research have unique and applicable implications for academics and practitioners.
Journal of Information Technology Applications and Management
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v.26
no.2
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pp.41-60
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2019
O2O(Online-to-Offline) commerce, a kind of multi-channel, is used in various industries such as accommodation, food and beverage, transportation, and real estate. The O2O commerce, a channel of integrating online and offline, overcomes the limitations of traditional online commerce, where a customer made a purchase decision without direct experience. Despite this advantage of O2O, if the online-offline channel is not effectively linked, customer's complaints would occur due to service failure. This study, with regard to O2O service failure circumstances, intends to investigate the effect of customer's perceived justice on their emotional response, recovery satisfaction, followed by intention to repurchase. Perceived justice in this study is composed of distributive justice, interactional justice, and procedural justice. Furthermore, this study explores the moderation effect of O2O industry types in the relationship between perceived justice and emotion. An O2O industry type is classified into accommodation, food and beverage, and transportation. A hypothesized research model was empirically tested using a structural equation model. The current study collected 433 questionnaires and the target respondents are customers who have experienced service failure in O2O commerce. The empirical results showed that O2O commerce more effectively conducts service recovery strategy and causes positive customer response by integrating online and offline channel. One of the ultimate purposes of O2O service providers is to reduce the likelihood of service failures and to recover more quickly and efficiently by linking two channels rather than using a single channel. This study suggested that the O2O channel is effective in influencing customer satisfaction and loyalty by inducing customer's positive emotions in recovering service failure.
Journal of Korea Entertainment Industry Association
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v.15
no.6
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pp.71-80
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2021
This study is aimed at analyzing the characteristics of each service quality and the requirements of the customers followed by the classification of service quality factors of youth sports clubs by using Kano model. For this purpose, a survey was conducted by targeting on 257 subjects in 10 youth sports clubs in Seoul and Gyeonggi areas and for data processing, Microsoft Office Excel 2016 and SPSS 22.0 were used to carry out Frequency Analysis, Factor Analysis, Reliability Analysis, Kano model Quality Classification, Timko's Customer Satisfaction Coefficient, and the computation and analysis of Public-service Customer Satisfaction Index. The following shows the research findings. First, as a result of using Kano model to classify each item of the service quality factors of the youth sports club through Dualistic Quality Theory Attribution, one-dimensional quality elements resulted in all 22 items of service quality factors of youth sports club. Second, the customer satisfaction coefficient computation result showed that satisfaction coefficient appeared by the order of 'kind response of the instructor,'(0.81), 'attitude of the instructor'(0.80), 'systematic lecture program'(0.76), and 'variety of program)'(0.76) and dissatisfaction coefficient appeared by the order of 'clean and pleasant facility'(-0.79), 'attitude of the instructor'(-0.76), 'kind response of the instructor'(-0.76), 'convenience of parking facility'(-0.73), and 'promptness of business process'(-0.73). Third, the public-service customer satisfaction index placing appeared by the order of the 'attitude of the instructor', 'kind response of the instructor', 'clean and pleasant facility' and 'systematic lecture program'.
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