• Fire Science and Engineering
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• v.33 no.1
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• pp.164-170
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• 2019

This paper discusses the characteristics of the fire service organization structure in the Republic of Korea. The subjects of the study were selected by the fire service organization consisting of public firefighters in the Republic of Korea. The characteristics of the fire service organization structure (complexity, centrality, and officiality) were confirmed by various articles and previous references. The fire service organization showed a mechanical structure and bureaucratic organization. The levels of complexity, centrality, and officiality in the characteristics of fire service organization structure were higher than those of a general administration organization or company organization. In conclusion, this paper contributes to the development of fire service organization theory by confirming the characteristics of fire service organization structure.

• Journal of Digital Convergence
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• v.3 no.2
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• pp.117-130
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• 2005

Managing of local government public service is innovation strategy of local government public service using choice and competition principle. Managing strategy of local government public service is new paradigm for innovating public service and role structure of government. It is important to understand properly substance and characteristics of local government public service Accordingly, the purpose of this study understand substance and characteristics of local government public service and describe strategic driving plan of managing local government public service in the future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.1
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• pp.74-78
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• 2003

This paper is an investigation of comparative and contrasting characteristics of service in manufacturing sector - especially quality aspects. A review of both service and manufacturing industries' systems literature revealed conflicting views on defining two different industries and its system assessment. While some researchers have documented the value of service IS implementations on both industries, there are others who feel that such implementations are not appropriate for all situations or all organizations. Because of IS implementations and IT improvement, defining service and manufacturing is blur than ever. There is a dearth of literature on the assessment of service systems in service and manufacturing industries due to blurred and controversial argument.

• Journal of Families and Better Life
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• v.31 no.6
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• pp.113-123
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• 2013

This investigation studied 1)the correlations among pre-service child care teachers' behavioral characteristics, social support and self-efficacy, and 2)the mediating effects of pre-service child care teachers' behavioral characteristics and social support on self-efficacy. The subjects were 240 pre-service child care teachers working at S-center for nursery teacher education or I-center for nursery teacher education in the Incheon area. The findings are as follows. First, the relationships among pre-service child care teachers' behavioral characteristics, social support and self-efficacy were examined by showing correlations. Second, we found that in terms of the mediating role of social support in the relationship between pre-service child care teachers' behavioral characteristics and self-efficacy, type D and type S show self-efficacy; they also have a direct impact on the social support indirectly affected through. Thus, social support can be seen as having a partial mediating effect.

• Journal of Distribution Science
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• v.21 no.3
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• pp.101-111
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• 2023

Purpose: The first purpose of this study is deriving in-store characteristics that affect the experience of customers using unmanned stores and reveals the value of major services that customers feel and experience. Also, an empirical analysis is conducted on the effect of intelligent consumption value after using unmanned stores on consumption emotions and continuous use intention, and the modulating effect of customers' untact tendency on environmental characteristics and the value of intelligent services is verified. Research design, data and methodology: Samples were taken from 186 people who visited the unmanned store from April to June 2022 to investigate the research model. Results: It was found that the environmental characteristics of unmanned stores had a positive effect on the intelligent service value. Also, the higher the value of intelligent service, the stronger the influence on consumption emotions, and the higher the value of the intelligence service and consumption emotions, the stronger the impact on the intention to use intention. The untact propensity played a role in controlling the relationship between ease of using technology and the intelligent service value and the relationship between spatial arrangement and functionality and intelligent service value. Conclusion: In order to improve unmanned store service in the trend of spreading unmanned stores, it is necessary to not only improve the technology using convenience in terms of store environmental characteristics but also create innovative consumption experiences in terms of space layout, function, and convenience of payment.

• Journal of Information Technology Applications and Management
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• v.11 no.4
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• pp.181-208
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• 2004

By the developing of Internet. the environments of the company have rapidly been changed. Especially. managers in the Internet shoppingmall have been try to provide excellent e-Services to their customers. e-Service i~ defined comprised of all interactive services that are delivered on the Internet uSing advanced telecommunications. information, and multimedia technologies. but according to study of e-Satisfy. com［2000］. customer service through internet is still neither effective nor efficient and poor service will impact on company's profit but excellent service can improve their value and quality of the service or product. In order to customer-oriented e-Services. this study suggested the QFD linked with e-Service quality model for the Internet shoppingmall service system. which can help determine design characteristics being relevant to customer's e-Service quality requirements. this hybrid model have two stages. In the first stage. we do measure service quality and find priorities of service quality attribute by purchase process. and in the second stage. on the basis of priority of e-Service quality attributes, we find design characteristics to maximize customer satisfaction. From this study, we provide internet shoppingmall managers with the implications for improvement of service quality, measuring quality of e-service, providing design characteristics for customer-oriented service quality.

• Korean Journal of Community Nutrition
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• v.4 no.3
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• pp.454-465
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• 1999

Consistently delivering good service quality is a complex and dynamic process. In this matter, service differs from tangible products and is highly dependent on the business and service provider. Therefore, efficiently managing the process of delivering service quality can contribute to profits for organization and satisfaction to customers. This study was performed to define service quality, and to investigate the personal and operational characteristics that impacts the service quality provided by foodservice provider. The responses from 278 foodservice providers and 427 customers in 82 fast-food and family restaurants were used in this analysis. Descriptive, Factor Analysis, T-test, ANOVA, and Correlation Analysis were used for statistical Analysis. The Results of this study were as follows : 1) The perception of foodservice provider was significantly higher than that of the customers in most of the 21 service quality attributes. 2) The 6 dimensions derived from Factor Analysis explained 56.8% for service quality. 3) Among the personal characteristics of the foodservice provider, the level of education and the position in the job led to a significant difference in some of the service qualities. 4) The type of restaurant played an important role in foodservice providers'perception of service quality. 5) Month since opening had a negative correlation with 'Atmosphere' and a positive correlation with 'Reputation', while the number of seats showed a positive correlation with 'Atmosphere' and a negative correlation with 'Food'and 'Convenience'. 6) In general, the characteristics of sales had a positive correlation with service quality. 7) The proportion of part-time employees showed a negative correlation with 'Atmosphere' and 'Food', and a positive correlation with 'Reputation'.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.189-207
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• 2021

Voice interaction combined with artificial intelligence is poised to revolutionize human-computer interactions with the advent of virtual assistants. This paper is analyzing interactive elements of AI-based voice recognition services such as sympathy, assurance, intimacy, and trust on intention to use. The questionnaire was carried out for 284 smartphone/smart TV users in Korea. The collected data was analyzed by structural equation model analysis and bootstrapping. The key results are as follows. First, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy, and trust have positive effects on interactivity with the AI-based voice recognition service. Second, the interactivity with the AI-based voice recognition service has positive effects on intention to use. Third, AI-based voice recognition service characteristics such as interactional enjoyment and intimacy have directly positive effects on intention to use. Fourth, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy and trust have indirectly positive effects on intention to use the AI-based voice recognition service by mediating the effect of the interactivity with the AI-based voice recognition service. It is meaningful to investigate factors affecting the interactivity and intention to use voice recognition assistants. It has practical and academic implications.

• IE interfaces
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• v.17 no.3
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• pp.314-329
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• 2004

The rapid growth of investments in mobile service to reach a large and growing body of customers, coupled with low communication costs, has made user acceptance an increasingly critical management issue. The study draws upon the task-technology fit (TTF) model as its theoretical basis and its empirical findings to pragmatically explain the key factors that affect the performance and user acceptance of mobile service in medical field. A total of 110 usable responses were obtained. The findings indicate that the task, technology, and individual user characteristics positively affect task-technology fit and mobile service usage. The task-technology fit and mobile service usage are the dominant factors that affect mobile service performance. The result points out the importance of the fit between technologies and users' tasks in achieving individual performance impact from mobile service in medical arena.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.1-17
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• 2021

This paper elucidates the effect of characteristics of service quality on continuance usage intention of digital healthcare service using mediating factors of user expectation and user utility. First, we classified independent factors into three types such as service system characteristics, user characteristics, and healthcare service characteristics from the previous studies, and investigated the effect of three independent factors on continuance usage intention of digital healthcare service. Second, we analyzed the impact of two mediating factors, user expectation and user utility, on the continuance usage intention. We developed a research model that includes three types of independent factors, mediated factors of user expectation and user utility, and a dependent factor of continuance usage intention. We surveyed a total of 357 samples from digital healthcare service users and analyzed the research model. The research results significantly show that Characteristics of Users is essential factor impacting a dependent factor of Continuance Usage Intention. The results indicate the followings: (1) Characteristics of Users including the variables of Innovation impacts User Expectation, and User Expectation affects Users Utility, and Users Utility also affects Continuance Usage Intention. (2) Characteristics of Service Systems including the variables of Functionality, Compatibility, and Convenience and Characteristics of users of Innovation variable impact the mediating factor of User Expectation, and User Expectation also affects the factor of Continuance Usage Intention. (3) Characteristics of Healthcare Services including the variables of Reliability, Ease of Operation, Safety, and Accuracy impact User Utility, and User Utility also affects Continuance Usage Intention.