• The Journal of Industrial Distribution & Business
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• v.15 no.2
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• pp.1-10
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• 2024

Purpose: The aim of this study is to examine the factors influencing prospects toward for the metaverse in both the public and private sectors, focusing on the perspectives of millennials and generation Z that were rarely examined in previous studies. Research design, data and methodology: This study employed an online survey as its research methodology utilizing factor analysis, ANOVA, and regression analysis to test the formulated hypotheses. Results: The findings of this study reveal that factors such as citizen/customer relationship management, the application of metaverse in both in the public and private sectors. Moreover, the effect size of applying the metaverse to cities on prospects toward the Metaverse was notably higher in the public sector. The effect size of metaverse management for customer relationship management showed a greater impact in the private sector. Conclusions: The results carry significant managerial and policy implications. They shed light on how millennials and generation Z perceive the applications of the metaverse in relation to cities, products, and brands. Notably, the results suggest that application of the metaverse for cities and management of customer relationships for products and brands emerge as key factors influencing the prospect of the metaverse in the public and private sectors.

• Journal of Korean Society for Quality Management
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• v.46 no.1
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• pp.75-94
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• 2018

Purpose: This research intended to explore a causal relationship among empowerment, job satisfaction, organizational citizen behavior, and customer orientation of employees working at the elderly care hospital, and we intended to explore mediating role of job satisfaction and organizational citizen behavior(OCB) and moderating role in the relationship of them. Methods: A survey tool was questionnaire that had obtained validity and reliability through literature survey and pretest survey, and sample 388 was analyzed through SEM using SPSS21.0 and AMOS21.0. Results: All theoretical relationships on research model were turned out except one between empowerment and customer orientation. Job satisfaction and organizational citizen behavior play an important mediating role in the research model. LMX plays a moderating role in the research model. Conclusion: In order to delegate the duties of the elderly nursing facility and to manage and operate the efficient human resources, the quality of the LMX should be raised so that the empowerment, job satisfaction and organizational citizenship behavior of the employees ultimately strengthen the customer orientation of them.

• The Journal of Industrial Distribution & Business
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• v.13 no.3
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• pp.13-24
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• 2022

Purpose: The purpose of this paper is to investigate key factors that affect customer dissatisfaction on public transportation system by highlighting the necessity of citizen participation and improved management of advanced technology for sustainability. Research questions applied in this study include following; i) how are factors on dissatisfaction related to types of transportation modes; ii) how do perceived proposed factors affect citizen dissatisfaction; iii) how do the improvement of public transportation service affect the level of expected satisfaction; and iv) how do expected satisfaction affect policy agreement and government trust. Research design, data and methodology: For qualitative research, civil opinions were collected and chi-square analysis was applied using keywords. For quantitative research, online survey was collected and factor and multiple regression analyses were applied. 3) Results: This study found that efficiency of operation system and safety on dissatisfaction showed significant in all three public transportation modes. This study found that perception of government policy and trust on government will increase as expected satisfaction increases. Conclusions: This study provides managerial and policy implications on society and policy makers by addressing necessity of improving strategies for public transportation system with the consideration of citizen relationship management and sustainable development.

• Journal of the Korean Society of Costume
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• v.56 no.2 s.101
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• pp.83-100
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• 2006

As online fashion businesses achieve rapid growth in the last few years, they gather various kinds of customer information through customer registration procedures and expect to utilize this information for CRM programs. The purpose of this study were to understand the current practices of customer information management of online fashion companies and to discuss how to improve it for the benefit of both customers and fashion businesses. This study included three steps of empirical data collection process: First, online fashion companies were visited and content analyzed at three time periods-2002, 2003, and 2004. Second, a questionnaire was developed and surveyed with 488 customers. And third, interviews with two groups were conducted, one with customers who experienced customer registration with online fashion companies and the other with experts of web developing. Through customer registration procedures, personal and contact information such as name, citizen registration number(social security number), home address, home telephone number, and cellular phone number were most frequently required. Customers were asked to provide more specific information regarding their privacy, online behavior, and taste recently. The variety of information category in 2004 observation was larger than 2002, but the amount of required information from each company got smaller. Customers tended to provide some false infor- mation, and the most frequently cited reason for that was 'too much hassle' and 'no practical benefit from information provision'. Customers were concerned with the exposure of personal information such as citizen registration number. The ideal number of pieces of information required was identified as 3 to 5 including name, phone number, and address. The paper was concluded with the discussion of customer information management from CRM perspective, CRM program, information analysis methods, and security.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.125-143
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• 2015

As improving the life quality of citizen because of development of Urbanization and Information, civil application service of public institutions has been changed. The government provides a 24-hour civil service of e-government, public institutions operate U-complaints call center to pursue a personalized service to customers. As customer service are diversified, the inconvenience of service is increased. Therefore, public institutions instituted U-complaints call center to solve increased complaints. In early days, public institutions operated simple call center. However, it became intelligent U-complaints call center by SNS. The more increase the importance of agents' contact customer service, the more increase Job Performance considered by Organizational Commitment & Job Satisfaction of call center agents. This study analyzed that applied to Fairness Theory with Organizational Commitment, Job Satisfaction and analyze U-complaints call center agents' role and job performance of public institutions. Proposed a research model applied to job satisfaction with key variables, organizational commitments, job satisfaction. It's expected to impact on job performance of U-complaints call center agents in public institutions. For empirical study of research model, conducted a survey of the U-complaints call center agents of public institutions. 170 samples were collected from the survey and analyze relationship between the factors. Procedural justice, distribution fairness, fairness interaction are significant influence on organizational commitment of parameters by analysis U-complaints call center agents. Procedural justice and fairness of interaction was found not to effect on parameters of job satisfaction. Also, parameter, organizational commitment have significant influence on job satisfaction. However, have no influence on job performance. Therefore, the parameters of job satisfaction have significant influence on job performance. Public institutions should adopt to improve the quality of citizen services through U-complaints call center agents.

• Spatial Information Research
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• v.20 no.4
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• pp.37-45
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• 2012

Moving forward on smart society, change of the way to solve the spatial issue used in information society is required. In order to be competitive and sustainable spatial information service, existing "spatial information open platform" strategy needs to be transformed into "spatial information social platform". The requirement for the spatial information open platform to be socialized and evolved into the spatial information social platform is investigated with respect to the characteristics of social platform P. Savalle(2010) suggested. Based on the investigation, the definition of spatial information social platform is formulated. Several roles of the government as a platformer to create and manage the spatial information social platform are suggested.

• Management & Information Systems Review
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• v.34 no.5
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• pp.71-92
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• 2015

This study analyzes the impact of Corporate Social Responsibility (CSR) activities on financial performances using Bayesian Network. The research tries to overcome the issues of the uniform assumption of a linear function between financial performance and CSR activities in multiple regression analysis widely used in previous studies. It is required to infer a causal relationship between activities of CSR which have an impact on the financial performances. Identifying the relationship would empower the firms to improve their financial performance by informing the decision makers about the different CSR activities that influence the financial performance of the firms. This research proposes General Bayesian Network (GBN) and presents Markov Blanket induced from GBN. It is empirically demonstrated that all the proposals presented in this study are statistically significant by the results of the research conducted by Korean Economic Justice Institute (KEJI) under Citizen's Coalition for Economic Justice (CCEJ) which investigated approximately 200 companies in Korea based on Korean Economic Justice Institute Index (KEJI index) from 2005 to 2011. The Bayesian Network to effectively infer the properties affecting financial performances through the probabilistic causal relationship. Moreover, I found that there is a causal relationship among CSR activities variable; that is Environment protection is related to Customer protection, Employee satisfaction, and firm size; Soundness is related to Total CSR Evaluation Score, Debt-Assets Ratio. Though the what-if analysis, I suggest to the sensitive factor among the explanatory variables.