• 한국산학기술학회논문지
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• 제18권12호
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• pp.230-241
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• 2017

본 연구는 Vroom의 기대이론을 적용하여 LINC 사업 참여 대학생의 동기부여적 요소를 규명하고, 실제 참여 행동 및 개인의 성과 개선에 미치는 영향을 실증적으로 검증하는 것을 목적으로 한다. 동기부여의 요소는 유의성, 수단성, 기대와 같이 세 가지 항목으로 구성하였으며, 대상의 인구통계학적 특성의 차이를 비교 검증하는 것과 더불어 유의성 모형과 힘 모형의 두 가지 모형을 구분하여 참여 행동 및 성과에 미치는 영향을 분석하였다. 전국의 대학생을 대상으로 총 236부의 데이터를 확보하였으며, 이에 따른 분석 결과는 다음과 같다. 첫째, 인구통계학적 특성에 따른 비교분석에서는 학년, 전공, 거주지역에 따른 동기부여요소의 평균차이는 없었으며, 유일하게 성별의 경우 여성이 남성보다 LINC 사업 참여에 따른 유의성(매력성)을 더 높게 인식하는 것으로 나타났다. 둘째, 유의성 모형과 힘 모형 모두 LINC 사업 참여 행동 및 개인의 성과 개선에 유의한 영향이 있는 것으로 확인되었다. 특히, 유의성 모형보다 힘 모형이 전체 모형의 설명력과 영향력이 더 높은 것으로 나타났다. 결과적으로 유의성, 수단성, 기대와 같은 세 가지 동기부여 요소가 모두 발현되었을 때 더욱 적극적인 참여행동과 높은 성과를 창출한다고 판단할 수 있다. 셋째, 매개효과의 경우도 마찬가지로 유의성 모형에 비해 힘 모형의 직접효과, 간접효과, 총효과가 더 큰 것으로 나타났으며, 세 가지 동기부여적 요소가 개인의 성과를 향상시키는데 참여 행동이 부분 매개효과를 가지고 있는 것으로 나타났다.

• 지식경영연구
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• 제19권3호
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• pp.173-187
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• 2018

This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

• 한국경영공학회지
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• 제23권4호
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• pp.33-48
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• 2018

Despite that QR codes are spreading worldwide in Pin Tech, logistics distribution, etc., South Korea is staying at the level of using QR codes in limited areas such as website connection and marketing communication. The purpose of this study is to propose measures for more effective use of QR codes by examining the effects of personal innovativeness on user's behavioral intentions by applying personal innovativeness to QR codes. To this end, this study was intended to examine the relationships between performance expectancy (PE), effort expectancy (EE), social expectancy (SE), and personal innovativeness, which are variables used in the Unified Theory of Acceptance and Use of Technology (UTAUT) model among innovative technology acceptance models, and behavioral intentions. For this study, a questionnaire survey was conducted with students in collages in the metropolitan area in May 2018 and the results were statistically verified using IBM SPSS 21. The results showed that PE, EE, and SE had significant positive(+) effects on personal innovativeness and behavioral intentions of QR code users. The mediating effects of personal innovativeness were tested and the results indicated that personal innovativeness partially mediates between PE and behavioral intentions and between EE and behavioral intentions but not between SE and behavioral intentions. The fact that since QR codes are expressed as a component to users through other media rather than its internal factors, the personal innovativeness of QR code users plays an important role in increasing the use of QR codes could be identified through this study.

• International Journal of Computer Science & Network Security
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• 제21권4호
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• pp.313-324
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• 2021

This study empirically investigates the factors influencing the intention to accept mobile technology in Saudi healthcare service delivery using the extended unified theory of acceptance and use of technology model (UTAUT) with perceived reliability and price value. Accordingly, a conceptual model combining behavioral constructs with those linked to the technology acceptance model is developed. This model aims to identify factors that predict patients' acceptance of mobile technology healthcare service delivery. The developed model is examined using responses obtained from a survey on 545 participants receiving healthcare services in Saudi Arabia. Thus, we have conceptualized the developed model and validated seven hypotheses involving key constructs. Results suggest that performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived reliability are direct predictors of user behavior to accept mobile technology in healthcare service delivery. The results provide empirical evidence to the literature on the effect of facilitating conditions and effort expectancy on mobile health (mHealth) adoption. The results show that the COVID-19 pandemic has significantly increased the adoption of mHealth services in Saudi Arabia.

• 품질경영학회지
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• 제52권1호
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• pp.115-133
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• 2024

Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3568-3584
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• 2016

In mobile opportunistic networks (MONs), human-carried mobile devices such as PDAs and smartphones, with the capability of short range wireless communications, could form various intermittent contacts due to the mobility of humans, and then could use the contact opportunity to communicate with each other. The dynamic changes of the network topology are closely related to the human mobility patterns. In this paper, we propose a social motivation-aware mobility model for MONs, which explains the basic laws of human mobility from the psychological point of view. We analyze and model social motivations of human mobility mainly in terms of expectancy value theory and affiliation motivation. Furthermore, we introduce a new concept of geographic functional cells, which not only incorporates the influence of geographical constraints on human mobility but also simplifies the complicated configuration of simulation areas. Lastly, we validate our model by simulating three real scenarios and comparing it with reality traces and other synthetic traces. The simulation results show that our model has a better match in the performance evaluation when applying social-based forwarding protocols like BUBBULE.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.95-107
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• 2020

By applying behavioral intention theories and the theory of diffusion of innovation in organizations, this study identified several factors influencing the intention to apply management accounting in enterprises in Vietnam. Research data was collected from the questionnaire sent to Vietnamese enterprises in 2019, collecting 542 observations from accountants and directors. The data is, then, synthesized by excel file, conformity check, and processed by SPSS 20 software with descriptive statistics and multiple regression analysis. The results showed four factors that affect the intention to apply management accounting in enterprises in Vietnam: (1) Performance expectancy; (2) Effort expectancy; (3) Perceived trust; and (4) Subjective norms. The study pointed out that the above factors explain 60.618% of the variation of "intention to apply management accounting", in which, Subjective norms has the strongest impact (regression coefficient is 0.238). The findings also show that raising the awareness of managers and accountants about the role of management accounting, improving the qualifications and knowledge of accountants, and increasing the trust of managers about management accounting information are needed to increase the level of management accounting application in Vietnamese enterprises. The study also proposes recommendations to improve the effectiveness of management accounting for managers in operation and decision-making.

• 인터넷정보학회논문지
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• 제20권1호
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• pp.113-124
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• 2019

Recently, Omni Channel Services has been considered the most innovative business strategy. Omni-Channel sees a variety of channels from all channels viewpoints, organically combining each channel to provide a seamless experience for consumers. In other words, Omni-Channel is not simply a systematic integration of channels, but a means of delivering consistent services to consumers in all processes through a strategy to an organic connection. The aim of this study is to provide a comprehensive insight into the decision factors affecting the adoption of Omni-channel. For this purpose, an empirical analysis is conducted on the course of acceptanceof the Omni-channel service based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and Task-technology fit (TTF), an effective model frequently selected to describe the acceptance of service in the introduction phase of new information technology. As a result of the study, it was confirmed that the task characteristics and the technical characteristics had a positive effect on the task-technology fit, and the task-technology fit had a positive effect on the performance expectancy. In addition, task-technology fit, performance expectancy, and social influence have a positive effect on the intention to use the Omni-Channel. This study is intended to deliver an experimental meaning by proposing a strategical measure to understand the behaviorsand uses of consumers in the Omni-channel service environment and increase the customer satisfaction for the system.

• Asia pacific journal of information systems
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• 제29권2호
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• pp.203-216
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• 2019

There is an accuracy-diversity dilemma with personalized recommendation services. Some researchers believe that accurate recommendations might reinforce customer satisfaction. However, others claim that highly accurate recommendations and customer satisfaction are not always correlated. Thus, this study attempts to establish the causal factors that determine customer satisfaction with personalized recommendation services to reconcile these incompatible views. This paper employs statistical analyses of simulation to investigate an accuracy-diversity dilemma with personalized recommendation services. To this end, we develop a personalized recommendation system and measured accuracy, diversity, and customer satisfaction using a simulation method. The results show that accurate recommendations positively affected customer satisfaction, whereas diverse recommendations negatively affected customer satisfaction. Also, customer satisfaction was associated with the recommendation product size when neighborhood size was optimal in accuracy. Thus, these results offer insights into personalizing recommendation service providers. The providers must identify customers' preferences correctly and suggest more accurate recommendations. Furthermore, accuracy is not always improved as the number of product recommendation increases. Accordingly, providers must propose adequate number of product recommendation.

• 경영정보학연구
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• 제23권4호
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• pp.1-22
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• 2021

코로나19로 인한 언택트 환경 속에서 모바일 간편결제가 확산하고 있다. 모바일 결제 시 본인 인증을 위해 다양한 수단이 사용되고 있으며, 최근 생체정보의 활용이 증대되고 있다. 본 연구에서는 생체정보 사용에 영향을 주는 여러 가지 요인과 사용의도에 대한 상관 분석을 하였다. 요인별 변수를 성과기대, 노력기대, 사회적 영향 및 보안성으로 구분하고, 사용의도와의 연관성 파악을 위해 통합기술수용이론을 기반으로 실증분석을 하였다. 이를 위해 변수들을 단계적으로 투입하는 단계적 회귀분석을 총 4회 실시하였다. 분석결과, 통합기술수용이론에서 제시된 성과기대, 노력기대, 사회적 영향, 보안성 등이 모두 사용의도에 긍정적인 영향을 미치고 있으며, 또한 노력기대와 보안성은 생체인증 경험여부에 따라 사용의도에 조절효과가 있는 것으로 제시되었다. 이 연구를 통해 생체정보의 효과적 활용과 기술 발전에 도움이 되기를 기대한다.