• 경영정보학연구
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• 제16권1호
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• pp.17-35
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• 2014

정보시스템 구축 프로젝트는 전문가의 지식과 경험을 공유하면서 진행되는 업무특성을 가지며, 커뮤니케이션의 문제가 실패의 근본 원인일 가능성이 있다. 본 연구에서는 휴대형 정보통신 기기 혹은 PC의 상시접속에 의해 언제나 어디서나 응답이 가능한 온라인 소셜네트워킹(On-line Social Networking)을 프로젝트 현장에서 커뮤니케이션 시스템으로 활용할 경우 프로젝트 구성원의 업무성과에 어떠한 영향을 미치는지 연구하고자 한다. 연구를 위한 구성으로 업무성과는 교류기억체계에 의해 영향을 받고, 교류기억체계는 온라인 소셜네트워킹의 특성에 의해 영향을 받는 구조방정식 모형을 수립하였다. 온라인 소셜네트워킹의 특성으로는 선행연구를 통해 시스템 특성, 지식 특성, 사회적 특성으로 분류하였다. 교류기억체계는 전문가의 위치, 전문가 인식에 기초한 신뢰, 그리고 전문가의 지식과 신뢰에 의한 업무-지식 조정의 과정을 통한 매개효과를 분석하였다. 구성원의 성과는 정보시스템 구축프로젝트에서 수행시간의 단축과 용이한 업무처리를 분석하였다. 가설의 검증 결과, 온라인 소셜네트워킹의 프로젝트에서의 활용은 구성원의 업무성과를 향상시키는 것으로 나타났다. 본 연구는 프로젝트 현장을 중심으로 연구를 진행한 것에 의의가 있으며, 프로젝트 관리자보다는 구성원에게 초점을 맞춘 특징이 있다.

• 지능정보연구
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• 제29권2호
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• pp.149-170
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• 2023

본 연구에서는 확장된 기술 수용 모델을 적용하여 사용자의 메타버스 사용 의도에 영향을 미치는 요인을 분석했습니다. 즉, 확장된 기술수용모델의 관점에서 메타버스 이용의도에 영향을 미치는 요인을 기술적 특성(원격실재감, 상호운용성, 연속성, 동시성, 경제적 흐름)과 개인적 특성(사회적 영향력, 지각된 즐거움)으로 정의하고, 메타버스 이용의도에 영향을 미치는 요인들을 분석했습니다. 이를 위해 10대부터 60대까지 다양한 연령대의 남녀를 대상으로 설문조사를 실시했으며, 327명의 참여자로부터 수집된 데이터는 SPSS 22.0과 Smart PLS 4.0을 사용하여 분석했습니다. 그 결과 확장된 기술 수용 모델의 선행 요인인 지각된 유용성과 지각된 사용 용이성이 메타버스 사용 의도에 영향을 미치고, 지각된 사용 용이성은 지각된 유용성에 영향을 미치는 것으로 나타났습니다. 원격실재감, 상호운용성, 경제성 흐름은 인지된 유용성에 긍정적인 영향을 미치는 것으로 나타났으며, 상호운용성, 연속성, 동시성은 인지된 사용 용이성에 긍정적인 영향을 미치는 것으로 나타났습니다. 또한 사회적 영향력과 지각된 즐거움은 메타버스 사용 의도에 긍정적인 영향을 미치는 것으로 나타났습니다. 본 연구는 우리의 일상과 플랫폼 소비 환경에 큰 변화를 가져올 새로운 플랫폼으로 주목받고 있는 메타버스에 대한 사용자의 수용 요인을 실증적으로 분석했다는 점에서 의의가 있습니다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.109-134
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• 2018

Collaborative Filtering (CF) is widely used in recommendation field, which can be divided into rating-based CF and learning-to-rank based CF. Although many methods have been proposed based on these two kinds of CF, there still be room for improvement. Firstly, the data sparsity problem still remains a big challenge for CF algorithms. Secondly, the malicious rating given by some illegal users may affect the recommendation accuracy. Existing CF algorithms seldom took both of the two observations into consideration. In this paper, we propose a recommendation method based on listwise learning-to-rank by incorporating users' social information. By taking both ratings and order of items into consideration, the Plackett-Luce model is presented to find more accurate similar users. In order to alleviate the data sparsity problem, the improved matrix factorization model by integrating the influence of similar users is proposed to predict the rating. On the basis of exploring the trust relationship between users according to their social information, a listwise learning-to-rank algorithm is proposed to learn an optimal ranking model, which can output the recommendation list more consistent with the user preference. Comprehensive experiments conducted on two public real-world datasets show that our approach not only achieves high recommendation accuracy in relatively short runtime, but also is able to reduce the impact of malicious ratings.

• 한국식품영양학회지
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• 제25권3호
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• pp.650-655
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• 2012

This purposes of this study were to explain consumer attitudes and purchasing behaviors towards agricultural products using a social network service and to determine the influencing factors such as experience, technology ability, innovation, self-efficacy, perception of usefulness, perception of trust, attitude, purpose of purchase and individual characteristics on them. We analyzed the survey data set, using the 'logit model', 'simultaneous equation model', and 'LISREL-Type model' In this study, the results obtained are summarized as follows. The result for the comprehensive statement of "Trust" was the biggest influence on the purchase agricultural products using the social network service. Therefore, in order to expand agricultural e-commerce using SNS, trust should be to the fore of marketing and publicity campaigns, in order to promote and stabilize the market.

• 대한수학회보
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• 제53권5호
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• pp.1327-1339
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• 2016

Self-organizing systems arise very naturally in artificial intelligence, and in physical, biological and social sciences. In this paper, we modify the classic Cucker-Smale model at both microscopic and macroscopic levels by taking the target motion pattern driving forces into consideration. Such target motion pattern driving force functions are properly defined for the line-shaped motion pattern and the ball-shaped motion pattern. For the modified Cucker-Smale model with the prescribed line-shaped motion pattern, we have analytically shown that there is a flocking pattern with an asymptotic flocking velocity. This is illustrated by numerical simulations using both symmetric and non-symmetric pairwise influence functions. For the modified Cucker-Smale model with the prescribed ball-shaped motion pattern, our simulations suggest that the solution also converges to the prescribed motion pattern.

• Human Ecology Research
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• 제58권4호
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• pp.539-560
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• 2020

This study presents work-family multiple-role planning by female university students as a new approach to worklife balance. Accordingly, this study examines university years as a key time frame during which students establish their career paths. This study integrates the social cognitive career theory and the planned behavior theory to design and evaluate a model that explains the work-family multiple-role planning process; in addition, it develops an optimal model to predict the intentions of female university students in work-family multiple-role planning. This study has conducted a structural survey with 500 female university students. After inspecting the data, the responses of 435 participants were used in the data analysis (SEM) with SPSS 21.0 and AMOS 21.0. The findings include the following. First, suitability of predictive model presents a satisfying fit. The major factors in this study's model (parental support, subjective norms, attitudes toward multiple-role planning, career decision self-efficacy, and outcome expectations) are verified as direct and indirect predictors of the work-family multiple-role planning intent of female university students. Second, the strongest predictive factor for the work-family multiple-role planning intent is the social environment factor (subjective norms), indicating that the influence of social pressure on intent is relatively large. The predictive model formulated under this study's integrated theoretical framework supplements existing research that focused on attitudes toward multiple-role planning as well as provides a more profound theoretical foundation on which work-family multiple-role planning behaviors can be better understood.

• 디지털융복합연구
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• 제16권11호
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• pp.303-312
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• 2018

본 연구는 신기술을 활용한 간편 결제서비스를 통합기술수용모델(UTAUT)의 변수인 사회적영향, 촉진조건, 그리고 간편 결제서비스 특성변수인 보안과 편리성 변수를 기반으로 신뢰와 사용자 만족을 매개변수로 하여 연구모델을 설계하고 간편 결제서비스의 재사용의도에 미치는 요인을 규명하는데 그 목적이 있다. 실증분석 결과 보안이 사용자 만족에 긍정적인 영향을 미칠 것이다의 가설과 신뢰는 사용자 만족에 긍정적인 영향을 미칠 것이다의 가설은 기각 되었다. 이 같은 결과는 사회적영향과 편리성으로 인해 신뢰감을 느낀다고 해서 간편 결제서비스라는 금융서비스에서 인지된 위험의 노출과 보안의 취약성이 예상된다면 사용자 만족에 부정적일 수밖에 없다는 것이다. 본 연구결과는 간편결제서비스 활성화 및 간편결제서비스 분야의 이론적 토대를 정립하였다는 점에서 학술적으로 의의가 있으며, 아울러 다양한 실무적인 시사점을 제공하였다.

• Asia pacific journal of information systems
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• 제22권4호
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• pp.51-73
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• 2012

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.

• 한국정보시스템학회지:정보시스템연구
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• 제21권3호
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• pp.163-186
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• 2012

With the development of Internet and transition to information society, social capital is expanding to online from the traditional offline context. Especially with the widespread of social network service(SNS) the number of SNS users is increasing sharply and the importance of online social capital has been more and more significant. Most studies on social capital focused on organizational aspects but few studies have payed attention to personal aspect. Empirical studies on the relation between SNS and social capital were seldom conducted in previous studies. Based on the theory of social capital this study targets on the relationship formed through SNS and analyzes on how the relationship affects the perceived social capital. In this study 'self-presentation', 'playfulness' and 'critical mass' are posited as the antecedent factors of 'SNS usage'. This study proposes a research model to examine the effect of 'SNS usage' on 'relationship reinforcement', 'relationship building' and 'perceived social capital'. According to the results of empirical analysis, 'self-presentation', 'playfulness' and 'critical mass' can generate significant positive influence on 'SNS usage'. It also confirms not only the effect of 'relationship reinforcement' and 'relationship building' formed through SNS on 'perceived social capital' but also relationship between the social capital formation and SNS usage. The outcome obtained in this study can be applied in developing SNS services.

• 한국정보시스템학회지:정보시스템연구
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• 제20권4호
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• pp.205-232
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• 2011

With the rapid growth of internet technology, social commerce has played an important and central role in the online shopping area. Thus, we focus on the factors that influence on the adoption of social commerce. This study analyzes the relationship between perceived risk and the shopping motive in social commerce, and investigates whether the shopping motive significantly impact the purchase intention of the social commerce. The perceived risk is comprised of social risk and psychology risk, and the shopping motive is formed from personal motive and social motive. Finally, we analysis a moderating effect of collectivism. The results indicated that the personal motive was negatively affected by the social risk and psychology risk, and social motive was negatively affected by the psychology risk. The social risk and psychology risk had negative effect on the purchase intention, and personal motive and social motive had positive effect on the purchase intention of the social commerce. Finally, low collectivism seems to have the negative effect of the purchase intention by the perceived risk. The implications of integrating perceived risk and shopping motive into the proposed social commerce adoption model are discussed.