• 경영정보학연구
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• 제12권2호
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• pp.25-45
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• 2010

오늘날 인터넷의 발전과 더불어, 대학 교육에 있어 e-러닝은 매우 중요한 교과목으로 자리를 잡게 되었다. 이에 따라 학교 당국에서는 보다 양질의 교육 컨텐츠 질 개발과 e-러닝을 수강하는 학생들의 e-러닝을 통한 만족도와 학습효과를 증대하기 위해 많은 노력을 하고 있다. 본 연구에서는 기술수용모델을 이용해 학생들의 e-러닝 수용에 대한 연구를 수행하였다. 특히, 온라인 환경에서의 신뢰는 기술수용에 있어 매우 중요한 영향을 미치는데, 본 연구에서는 학생들의 e-러닝 수용에 있어 신뢰 수준에 따른 e-러닝 수용 과정을 분석하였다. 본 연구 결과는 e-러닝에 대한 수용의 심도 깊은 이해를 통해 보다 좋은 e-러닝 시스템을 구현과 e-러닝 전략 개발에 유용한 시사점을 제시해 줄 것이다.

• 유통과학연구
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• 제20권2호
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• pp.1-9
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• 2022

Purpose: The online distribution channel has attracted the attention of retailers by potential impact on consumers' purchase intention. The objectives of this study are to provide an insight into how to encourage consumers' impulse buying behavior on commercial website as well as attempts to reveal factors that influence consumers' impulsive buying behavior in the online shopping environment. Research design, data and methodology: The research framework is based on the stimulus-organism-response (S-O-R) framework. The Meta-analysis method carried out the research, gathering data from 37 published studies. Results: The research findings suggest that intrinsic motivations such as perceived ease of use, perceived enjoyment, and online flow experience play a significant role in boosting consumers' hedonic value when buying and online. In addition, these findings help online retailers use appropriate marketing stimuli such as offering pricing incentives, promotion tactics, and improved communication effectiveness. Also, obtaining a better grasp of how to build a website to improve the consumer experience generally helps consumers feel the urge to buy impulsively and act without hesitation. Conclusions: This research confirms a direct positive relationship between marketing stimuli and hedonic shopping value, which may support an applied theoretical framework for future research and provide managerial implications for retailers in online distribution channels.

• Journal of Information Technology Applications and Management
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• 제17권2호
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• pp.71-90
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• 2010

Electronic learning(or e-learning) has created hype for companies, universities, and other educational institutions. It has led to the phenomenal growth in the use of web-based learning and experimentation with multimedia, video conferencing, and internet-based technologies. Many researchers are interested in the factors that affect to the performance of e-learning or e-learning services. In this sense, this study is aimed at proposing e-learning system reuse prediction models in which e-learner intention to reuse influence factors(i.e., system accessibility, system stability, information clarity, information validity, self-regulated efficacy, computer self-efficacy, perceived usefulness, perceived ease of use, flow, and parental expectation) affect e-learner intention to reuse positively. A web survey was conducted for the full members of the e-learning education institute A in Seoul, Republic of Korea, an exclusive e-learning company that provides real time video lectures via the desktop conferencing system. The web survey was conducted for 20 days from November 5, 2009, through the e-learning web site of the company A. In this study, three data mining techniques were used : the multivariate discriminant analysis, CART, and C5.0 algorithm. This study was conducted to provide the e-learning service providers, e-learning operators, and contents developers with marketing and management strategies for improving the e-learning service companies, based on the data mining analysis results.

• 유통과학연구
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• 제22권1호
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• pp.13-23
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• 2024

Purpose: Within the ever-changing realm of modern e-commerce, this study delves into the complex effects of factors like performance expectations, ease of use, social influence, favorable conditions, and enjoyment perception on users' intentions and usage patterns in online marketplace apps. The research centres on Tokopedia app users in Denpasar City, encompassing a wide and varied demographic. Methods: Utilizing a non-probability sampling method, 200 participants were selected for extensive data collection through surveys. Subsequent rigorous analysis of the gathered data was performed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) techniques. Results: This study aims to contribute substantially to theoretical and practical knowledge regarding marketplace app usage. Theoretical contributions involve enhancing the marketing domain, especially in digital marketing, by revealing the intricate factors influencing user conduct in online marketplaces. From a practical standpoint, this research provides valuable insights for entrepreneurs aspiring to join or improve their positions in the Tokopedia app market. Conclusion: Based on the study, we suggest optimising online shopping apps for a more appealing and user-friendly interface. Enhancing the enjoyment and simplicity of finding desired products can prompt heightened usage of online shopping services, thereby reinforcing distribution management strategies and overall market presence.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.421-428
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• 2020

The study investigates the causal factors affecting mobile banking services acceptance by customers in Thailand. This study employs quantitative research methodology and non-probability sampling to draw 400 mobile banking users from the population who are the mobile banking users of commercial banks in Thailand. The online questionnaires were used as a research tool to collect data with the Cronbach's alpha coefficient as 0.931. By using the structural equation model to analyze data, the results have shown that service quality, perceived usefulness, perceived ease-of-use, safety in use, and social factors influenced mobile banking services acceptance by customers in Thailand.By checking the harmony with the statistics χ² = 108.618, df. = 86, χ²/df. = 1.263, p-value = .050, CMIN/DF =1.263, GFI = .989, AGFI=.962, TLI= .962, CFI = .976, RMSEA = .037,along with testing the weight factor. In conclusion, the research model was found to be harmonious with the empirical data at the significance level 0.05. The findings of this study suggest that the commercial banks should apply this research to understand the acceptance behavior of mobile banking users, also to determining marketing strategies, identifying opportunities and creating a competitive advantage for their services in the future.

• 디지털융복합연구
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• 제10권4호
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• pp.137-146
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• 2012

본 연구는 IPTV 서비스 사용자의 만족과 지속이용의도 형성에 중요한 영향을 미칠 것으로 예상되는 요인을 파악해 보는 것을 주목적으로 하였다. 연구목적의 효과적인 달성을 위하여 관련 문헌에 관한 고찰결과를 토대로 연구모델과 가설을 수립하였다. IPTV 서비스 이용경험자 310명을 대상으로 수집된 자료를 이용하여 공분산 구조모델 분석을 통한 연구가설 검정을 수행하였다. 본 연구의 실증분석 결과를 요약해 보면 다음과 같다. 첫째, IPTV 이용자의 인지된 즐거움은 만족과 지속 이용의도에 긍정적인 영향을 미치는 반면 인지된 유용성에는 별다른 영향을 미치지 못하는 것으로 나타났다. 둘째, 지각된 사용용이성은 지각된 유용성에 긍정적인 영향을 미치는 반면 만족에는 별다른 영향을 미치지 못하는 것으로 밝혀졌다. 셋째, 기대 일치는 지각된 유용성 및 만족에 모두 긍정적인 영향을 미치는 것으로 나타났다. 마지막으로 지각된 유용성, 만족, 그리고 지속 이용의도 간에는 모두 긍정적인 관계성이 존재하는 것으로 밝혀졌다. 이상의 가설검정 결과를 토대로 연구의 시사점과 향후 연구방향을 제시하였다.

• International Journal of Human Ecology
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• 제10권1호
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• pp.23-33
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• 2009

This study identified the appropriateness of acceptance models of smart clothing and differences in the hypothesis of the path to clothing acceptance by classifying consumers depending on the level of technology innovation and fashion innovation through the extended TAM (Technology Acceptance Model) presented by Chae (2009). 815 copies of data were collected from adults over twenty living in major South Korean cities and analyzed them using a SPSS 15.0 and AMOS 5.0 package. Based on the average value of technology innovation and fashion innovation, the respondents were classified into: Group 1 with high technology innovation and fashion innovation, Group 2 with high technology innovation but low fashion innovation, Group 3 with low technology innovation but high fashion innovation, and Group 4 with low technology innovation and fashion innovation. The appropriateness of models for the four classified groups was verified. The analysis proved that an extended TAM for each classified group explains the acceptance process of smart clothing; especially the appropriateness of model of Group 1 and Group 4 was comparatively higher than other groups. Perceived usefulness was revealed as the key variable that affects consumer attitudes to accept smart clothing. Perceived ease of use has indirect positive effects on consumer attitudes passing through perceived usefulness and clothing involvement partly exerted impacts on consumer attitudes and the intention of acceptance. The mediating role of attitudes to explain the intention of the acceptance of smart clothing is high and suggests that it is necessary to take a positive role to help the consumer perceive the functional and useful aspects of the clothing.

• 벤처창업연구
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• 제8권4호
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• pp.67-79
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• 2013

메타분석은 여러 실증연구의 정량적인 결과를 통합과 분석을 통해 전체 결과를 조망할 수 있는 기회를 제공하는 통계적 통합 방법이다. 기술수용모델은 지난 20여 년 동안 경영정보시스템 연구에서 여러 가지 주제로 다루어지고 있으며, 지금도 여전히 계속 연구되어 오고 있다. 최근 정보통신기술과 지식정보사회의 융합은 정치, 경제 및 다양한 분야에 빠른 영향을 미치고 있다. 이러한 산업의 변화는 벤처기업 창업에 도움이 될 것이다. 따라서 기술수용모델을 기반으로 스마트폰 사용자들의 행동의도에 관한 연구들을 메타분석을 실시하였다. 또한, 본 연구는 2005년 이후 국내 학술지에 게재된 연구 중 기술수용모델의 개념간에 인과관계를 설정한 총 50편의 연구논문을 대상으로 하였다. 메타분석의 결과, 인지된 유용성에서 행위의도의 경로에 효과크기는 0.48을 보였으며, 인지된 사용 용이성에서 행위의도의 경로에 효과크기는 0.46으로 나타났다. 그리고 인지된 사용 용이성에서 인지된 유용성의 경로에 효과크기는 0.46으로 나타났다. 또한, 태도에서 행위의도의 경로에 효과크기는 0.61을 보였다. 분석결과를 바탕으로 선행연구와 비교분석을 통해 차이점을 논의하였다.

• 산경연구논집
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• 제9권1호
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• pp.51-65
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• 2018

Purpose - This paper aims to identify factors that influence the users' word-of-mouth intention (WOMI) regarding mobile apps, focussing on the impacts of technology acceptance model (TAM) and social network theory. Research design, data and methodology - Based on TAM, this study integrates social network theory into the research model. The 317 sets of data collected in a survey were tested against the model using SmartPLS. Results - Our findings suggest the following: 1) Personal innovativeness positively influences perceived usefulness (PU), perceived ease of use (PEU) and perceived enjoyment (PE); 2) PEU affects PU and PE; 3) Both PU and Satisfaction are directly correlated with WOMI. Although PEU and PE has no direct impact on WOMI, they may indirectly affect WOMI via Satisfaction, as PU, PEU and PE all positively influence satisfaction; 4) Network density and network centrality both play a mediating role in the relation between PEU and WOMI. Referral Reward Program have a positive moderating effect on the relation between PU and WOMI. Conclusions - The findings of this study illustrate the traits of Apps that can promote users' WOMI, as well as the characteristics of people who are more likely to participate in the word-of-mouth process. The findings provide a theoretical basis for app developers to make word-of-mouth a marketing strategy.

• 산업공학
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• 제19권3호
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• pp.255-269
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• 2006

Digital manufacturing(DM) is the ability to describe every aspect of the design-to-manufacture process digitally-using tools that include digital design, CAD, office documents, PLM(Product Life-cycle Management) systems, analysis software, simulation, CAM software and so on. The major automotive companies are already deeply invested in DM with almost every process being digital rather than paper-based. But it has taken a long time for the digital process to mature into something usable and there have been some major barriers that have prevented from the DM becoming a reality. Thus many companies hesitate to make a decision of implementing the DM. This paper deals with a study investigating which factors are important for implementing the DM to industries successfully. The extended technology acceptance model (ETAM) is used as the relation model of cause and effect. The quality of hardware, the quality of software, the range of collaboration among companies and the preference of the user are defined as the external factors. Interview method is used for gathering input data, and the results are analyzed with SPSS. The results indicate that four external factors are effective on the successful implementation of DM, and the perceived usefulness is most important.