• Asia pacific journal of information systems
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• v.15 no.3
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• pp.91-109
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• 2005

According to traditional theories of information systems, one of the reasons for using information technology is that users believe it to be helpful or useful for what they want to do, which is called extrinsic motivation. However, in addition to extrinsic motivation, there are other reasons for using it such as enjoying or playing with information technology itself, called intrinsic motivation, and just others around users, called social influence. The objective of this study is to provide a research model for using information technology considering intrinsic and extrinsic motivation, and social influence. For validation of this model, we survey the users of 'Minihompy' since it is one of the most popular blog services in Korea and there are relatively clear extrinsic and intrinsic motivation, and social influence respectively in using it. By analysing 549 valid samples by Partial Least Square(PLS), we show the suggested research model to be a valid one. That is, all hypotheses we suggested turn out to be statistically significant and $R^2$ of the dependent variable, the intention of use, explaining by the model to be higher than 40%. In addition to validation of the research model, it is found that intrinsic motivation may be more important than extrinsic motivation and social influence in using information technology.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.137-152
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• 2012

As social media such as facebook and twitter is widespread, social commerce appears as a new way of e-commerce. Social commerce is a subset of electronic commerce that involves using social media that supports social interaction and user contributions. From the understanding of social commerce and literature review, we deduced the research model that relationship, collectivism, convenience, usefulness, low price, reputation, and rapidness have influence on satisfaction and repurchase intention. As a result of data analysis, relationship, convenience, usefulness, low price, and rapidness had influence on satisfaction and repurchase intention. And collectivism had influence on relationship. But reputation did not have influence on satisfaction. The focus of this study is on the effect of relationship and collectivism on satisfaction and repurchase, because relationship and collectivism is the major feature of social commerce. Succinctly speaking, collectivism affects relationship among users, in turn, relationship affects satisfaction and repurchase intention. This study gives a contribution to business. Business related with social commerce has to make a business strategy for managing relationship and consider collectivism tendency for selecting target customer.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.370-379
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• 2012

This study is identifying a social standing on adolescents' social network in offline and how the social standing influence to online social activity. For the purpose, we explore two research questions. First, How the adolescents' social standing present in their offline social network? Second, How the adolescents' social standing influence to online social activity? Using data, we first visualized 5 social network of adolescents, and deducted each ego networks and global network. Also we investigated causality between social standing and social activities. The result showed adolescents' social tie and social gregariousness influence to social activity width and depth in ego network. Based on these findings, we discussed some implications, limitations, and future direction.

• Journal of Communications and Networks
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• v.17 no.2
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• pp.126-132
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• 2015

In mobile computing research area, it is highly desirable to understand the characteristics of user movement so that the user friendly location aware services could be rendered effectively. Location based social networks (LBSNs) have flourished recently and are of great potential for movement behavior exploration and datadriven application design. While there have been some efforts on user check-in movement behavior in LBSNs, they lack comprehensive analysis of social influence on them. To this end, the social-spatial influence and social-temporal influence are analyzed synthetically in this paper based on the related information exposed in LBSNs. The check-in movement behaviors of users are found to be affected by their social friendships both from spatial and temporal dimensions. Furthermore, a probabilistic model of user mobile behavior is proposed, incorporating the comprehensive social influence model with extent personal preference model. The experimental results validate that our proposed model can improve prediction accuracy compared to the state-of-the-art social historical model considering temporal information (SHM+T), which mainly studies the temporal cyclic patterns and uses them to model user mobility, while being with affordable complexity.

• The Journal of Information Systems
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• v.28 no.1
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• pp.17-39
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• 2019

Purpose The purpose of the present study is to analyze the factors influencing the intention to use direct bank continuously from the perspective of service rather than technology. Hygiene factors including economic benefits, privacy, and unverified risks, and convenience of service as a motivator were considered as user's satisfaction. A research model integrating the relationships among user's satisfaction, its determinants, social influence, and continuous intention to use direct banks was proposed. Design/methodology/approach Structural equation modelling for validating the research model was employed. 253 valid data were collected from users of direct bank service in South Korea and China, and used to test six hypotheses. Findings User's satisfaction and social influence were determinants of continuous use intention of direct bank. Convenience of service as a motivator has a significant influence on service satisfaction, while economic benefits, privacy, and unverified risks as hygiene factors have no significant influence on the continuous intention. Managers of direct banks need to implement service differentiation strategies to gain customers' loyalty. Also they seek to find the determinants of social influence. The present study confirmed that there is a big difference between Korea and China in terms of factors affecting the continuous intention to use direct bank.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.107-115
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• 2015

The social commerce is an innovative and emerging transaction. It is the result of combination with transaction and social media technology. This study analyzes Korean college students' social commerce behavior through extending technology acceptance model(TAM) with social influence(SI). We confirmed all proposed hypotheses are significant and supported by the given data through PLS path modeling method with SmartPLS. It indicates that SI is an important factor influencing intention to use, so SI should be consider for theorists to enhance explanation and prediction of TAM and for practitioners to earn higher performances as well. Finally, based on the findings, suggestions for future studies are discussed.

• Journal of Fisheries and Marine Sciences Education
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• v.23 no.4
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• pp.582-595
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• 2011

The purpose of the study was to investigate the causal relations among attachment, and social support influencing problem behavior in middle school students. The data contains 482 middle school students. Collected data were analyzed using SPSS and AMOS statistical package for correlation analysis and structural equation modeling. Study results were as follows. The correlations among attachment, social support and problem behavior were significant. The results of the structural equation modeling show that students' social support had direct positive influence on problem behavior, but students' attachment didn't have direct positive influence on problem behavior. That is to say, social support mediated the effect of attachment on problem behavior. These results imply that perceived attachment, and social support influence adolescents' problem behavior. Results suggest that programs that promote social support should be given to reduce problem behaviors of middle school students.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.269-278
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• 2020

The study aims to verify the relationship between leaders' personality traits in leader - member exchange (LMX), and job performance. Hierarchical Regression Analysis was used to examines (a) how leaders' personality traits and LMX affect the influence of social capital on job performance and organizational citizenship behavior; (b) how perceived organization support (POS) can moderate the influences of LMX on social capital, in turn impacting job performance and OCB. Responses are employees in the service industry in Thailand, which consisted of 236 independent samples in 77 groups. Each group included at least one leader and 1-5 followers. The results show that there is a significant relationship between leader's personality traits, LMX and social capital. Leader with the higher level of conscientious, and agreeableness can always create good relations with their followers. The level of LMX are also related to social capital and both of these influence OCB and job performance. The moderating effect of perceived organizational support is also significant that POS can amplify the influence of LMX on social capital. Finally, the research findings show that perceived organizational support is one of the moderating factors in LMX exchanges. Followers perceived organizational support can amplify the influence of LMX on social capital.

• Journal of Families and Better Life
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• v.30 no.4
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• pp.37-47
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• 2012

The purpose of this study was to grasp the factors having influence upon the social adjustment of children in multi-cultural families and to examine the degree of influence of these influential factors. For these aims, it targeted 186 children of multi-cultural families, that access social welfare institutions or multi-cultural institutions in the Daegu and Gyeongbuk areas. The findings are as follows. First, the factors having influence upon the social adjustment of children in multi-cultural families were indicated to be self-esteem, parental marital relations, bullying, and the support of adults other than their parents. In other words, these children's higher level of social adjustment was correlated with higher self-esteem, better parental marital relations, fewer bullying experiences from their peer group, and more support from adults other than their parents'. Secondly, support from adults other than parents was indicated to be the most influential among the variables affecting the social adjustment of children in multi-cultural families. The factor having the second highest level of influence was indicated to be self-esteem, followed by parental marital relations, and then bullying.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2069-2085
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• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.