• Asia Pacific Journal of Business Review
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• 제6권1호
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• pp.21-48
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• 2021

Promoting low carbon transportation adoption is important for energy saving. Some prior studies have discussed on environmental values affect low carbon transportation commuting is inconclusive. This study has constructed the environmental values, utility value, and social influence-based low-carbon transportation adoption model through the theory of the technology acceptance model and VBN model and the IS success model. Through the SEM model and stepwise regression analysis, we have found that environmental values positively affect utility value, and utility value also positively affects the behavior adoption of low carbon transportation. The utility value as mediating effect in the relationship between environmental values and low carbon transportation commuting behavior. Besides, we also have found that social influence positively impacts the behavior adoption of low carbon transportation. It better enhances the level of household residents' environmental values and utility values, and social influence for promoting the adoption of low carbon transportation. This present research provides theoretical guidance and suggestions for promoting the development of low-carbon transportation innovation.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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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.

• 한국정보시스템학회지:정보시스템연구
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• 제31권3호
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• pp.153-176
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• 2022

Purpose This study aims to identify and empirically prove the factors and influence relationships that affect the intention to continue using the video conferencing solution. Design/methodology/approach This study designed a research model by integrating self-efficacy, facilitation condition, event-related fear, and social influencing factors based on the post-acceptance model of IT continuance that explained the relationship between disconfirmation, post-usage usefulness, satisfaction, and continuance intention. Findings As a result of empirical analysis, in this study, it was confirmed that positive disconfirmation and post-usage usefulness had a positive effect on satisfaction, and satisfaction had a positive effect on continuance intention. In addition, we confirmed that self-efficacy and social influence had a positive effect on continuance intention, but event-related fear and facilitating condition had no significant effect.

• 아태비즈니스연구
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• 제12권1호
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• pp.41-56
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• 2021

Purpose - This empirical study examined the influence of post-communist countries sociol-political factor of freedom of expression preconditioning, and trust in agency, mediating performance expectancy of social media users representing the citizens' behavioural intention to utilize social media in a post-communist country, the case of Mongolia. Design/methodology/approach - This research collected 403 valid survey data from citizens those who use social media in Mongolia. The study used Partial Least Squire (PLS) analysis with the research conceptual model founded on the UTAUT model. Findings - The study shown that citizens in post-communist, they strongly willing freedom of expression, which driving as a positive precondition factor, and this has an indirect positive influence, and trust in agency mediates to enhance performance expectancy. Social influence, and effort expectancy factors have direct positive influence on the intention to use of social media systems in the public sector domain of Mongolia. Research implications or Originality - This research proposed a new model to test citizens' intention to use social media as a communication tool to engage with public organizations in the pre-adoption stage of post-communist countries. Theoretically, this research builds up to the unique theoretical contribution with social media by examining a new social media-based third-party intercommunication medium, incorporating intent to utilize for citizens with government in post-communist countries. Practically, this article lays out the directions to aid social media usage for government sector with concerning citizens intentions in the post-communist situation.

• Journal of Information Technology Applications and Management
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• 제22권2호
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• pp.149-169
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• 2015

This study tried to find out how to overcome multicollinearity problems in the structural equation model by creating a hierarchical construct model about the repurchase intention of social commerce. This study selected, as independent variables, price, quality, service, and social influence, based on literature review about social commerce, and then, as detailed variables of independent variables, selected system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norms, and reputation. As results of empirical analysis about hierarchical construct model, all the independent variables were accepted having a significant impact on repurchase intention of social commerce. Next, this study analyzed the competition model that eight independent variables of price, system quality, information quality, transaction safety, order fulfillment and after-sales service, communication, subjective norm, and reputation directly influence the repurchase intention of social commerce. As results of empirical analysis, system quality, information quality, transaction safety, communication appeared to be insignificant. This study showed that hierarchical construct model is useful to overcome the multicollinearity problem in structural equational model and to increase explanatory power.

• Asia pacific journal of information systems
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• 제25권4호
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• pp.719-745
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• 2015

Social networking services provide individuals with an easy approach for exchanging messages with others based on interpersonal relationships. However, why individuals spread marketer-generated content (MGC) in their online social circles remains unclear. Therefore, we develop a theoretical model to examine how social capital, intrinsic motivations, personal perceptions, past behavior, and personal traits influence MGC sharing behavior of social media users in micro-blogging context. Data collected from 319 social networking users support the proposed model. The results from partial least squares analyses show that enjoyment, perceived control, and outcome expectations are significant indicators of individual's MGC sharing intention in the social broadcasting environment. Results also suggest that social capital, users' intention, and past behavior positively influence the MGC sharing behavior of users. Moreover, individual prevention pride exhibits a significant interaction effect on the relationships between users' MGC sharing and its antecedents. Implications for research and practice are discussed.

• 한국학교ㆍ지역보건교육학회지
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• 제14권2호
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• pp.15-27
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• 2013

Objectives: The purpose of this study was to analyze factors affecting college adjustment and academic adjustment among nursing students according to social support. Methods: This study was a descriptive survey and questionnaires were collected from 290 nursing students from 2 colleges located in J province consented to participate in the study. Data were analyzed using frequency, percentage, mean, standard deviation, independent t-test, one-way ANOVA, scheff$\grave{e}$ test, pearson correlation, and hierarchical multiple regression. Results: In the model individual characteristics accounted for 17.2% of the influence on college adjustment and 9.9% of the influence on academic adjustment. In the model II with the addition of the 4 factors; tangible support, appraisal support, belonging support, self-esteem support and individual characteristics accounted for 39.5% of the influence on college adjustment and 22.8% of the influence on academic adjustment. Appraisal support and belonging support of the social support sub-variables were statistically useful as factors influencing college adjustment and self-esteem support was statistically useful as factors influencing academic adjustment. Conclusion: Social support for nursing students has great influence on college adjustment and academic adjustment of nursing students.

• 한국정보시스템학회지:정보시스템연구
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• 제21권2호
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• pp.135-160
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• 2012

In this paper, we identified the factors influencing on the continuous use intention of social commerce and analyzed the proposed model empirically using structural equation model, which was developed by considering hedonic and utilitarian shopping value, trust, satisfaction, familiarity, social influence, and perceived price. We collected data for this study by surveying the consumers who had an experience of purchasing through social commerce. An analysis of 212 respondents indicated that utilitarian and hedonic shopping value influenced on satisfaction as both of shopping value are significant statistically. Social commerce gives more attraction their consumers by reducing the price to half, whereas they are expected to present playfulness of shopping. Familiarity, social influence, and perceived price are influential factors in a purchase of social commerce sites. We discuss the implications of our findings for both theory and practice.

• 한국정보시스템학회지:정보시스템연구
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• 제26권2호
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• pp.63-83
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• 2017

Purpose: In Korea, market size of social commerce has been increased steadily and highly, but profits of social commerce companies have been decreased because of excessive marketing cost. To overcome this stagnant market environment, new marketing strategy that could attract customers and make customers continue to use social commerce is required instead of cost consuming marketing strategy. The purpose of this study is to investigate the relationship among characteristics of social commerce - that is, economic value and information quality - usefulness, enjoyment, satisfaction and repurchase intention by applying motivation theory to the area of social commerce. Design/Methodology/Approach: Previous researches have been studied by applying Expectation-Confirmation Model (ECM), Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM) and Stimulus-Organism-Response (S-O-R) Model, although there are many studies related with customer acceptance model in the field of e-commerce. However, there is not so many studies in applying motivation theory. So this study adopts new approach to examine why customers use social commerce based on motivation theory. Thus, this study adopts economic value and information quality as antecedents, and then customers will perceive extrinsic and intrinsic motivation; usefulness is extrinsic and enjoyment is intrinsic, and adopts satisfaction and repurchase intention as a dependent variable. The data of questionnaire were collected from customers who have experience to buy something in social commerce. 228 questionnaires as data unit of individual level were collected using random sampling. Findings: This study proved empirically that the relationship between antecedents and motivation factors has a positive influence, and motivation factors also have a positive influence on repurchase intention through satisfaction. This study provides the managers an insight that social commerce companies should pay more attention to improve customer satisfaction in order to increase higher performance in repurchase intention of social commerce.

• Asia pacific journal of information systems
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• 제26권1호
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• pp.1-21
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• 2016

Social media is increasingly being used as a source of information during crises, such as natural disasters and civil unrests. However, the quality and truthfulness of user-generated information on social media have been a cause of concern. Many users find distinguishing between true and false information on social media difficult. Basing on the elaboration likelihood model and the motivation, opportunity, and ability framework, this study proposes and empirically tests a model that identifies the information processing routes through which users develop trust, as well as the factors that influence the use of these routes. The findings from a survey of Twitter users seeking information about the Fukushima Daiichi nuclear crisis indicate that individuals evaluate information quality more when the crisis information has strong personal relevance or when individuals have low anxiety about the crisis. By contrast, they rely on majority influence more when the crisis information has less personal relevance or when these individuals have high anxiety about the crisis. Prior knowledge does not have significant moderating effects on the use of information quality and majority influence in forming trust. This study extends the theorization of trust in user-generated information by focusing on the process through which users form trust. The findings also highlight the need to alleviate anxiety and manage non-victims in controlling the spread of false information on social media during crises.