• 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 Information Technology Services
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• v.13 no.3
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• pp.25-50
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• 2014

The purpose of this study is to examine factors affecting the diffusion and the intention to use, and how these factors differ among adopter categories. A survey was done to analyze the diffusion of smart-phone, the most popular and innovative product nowdays. We collected 197 survey questionnaires from smart-phone user and analyzed the data using SPSS 18.0 and Smart PLS 2.0. PLS (Partial Least Square) analysis was implemented before multiple group-innovator, early adopter, eraly majority- analysis which is categoriezed by Innovation Diffusion Model of Rogers (1995). The results show that firstly, in innovator group (n=63), the functional and the safety value have significantly positive effect on user satisfaction. In addition, we found that user satisfaction and the brand loyalty are significatly associated with the intention of use. Secondly, in early adopter group (n = 67), the design value has significantly positive effect on user satisfaction and it has significantly positive effect on brand loyalty. Finally, in early majority group (n = 67), the design value has significantly positive effect on the user satisfaction and it has stronger effect on the intention of use and brand loyalty. We conclude this paper with the implication of this study to both academia, business practice, and policy making.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.107-124
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• 2021

This study is a study on the innovation resistance that may arise in connection with the introduction and use of smart factory-related technologies by SMEs. It is to study the effect of the leading factors of innovation resistance on innovation resistance and the effect of innovation resistance on use intention by using the extended innovation resistance model. A total of 176 survey data were used for the study, and the study was conducted using SPSS 25 and Smart PLS 2.0. Relative advantage, suitability, perceived risk, social impact, and organizational characteristics have a significant effect on innovation resistance, and innovation resistance was tested to have a significant effect on the intention to use. As an implication according to the research, a plan to improve the level of introduction and use of smart factories using the expanded innovative storage model was presented by dividing positive and negative factors, and factors that should be improved and factors that should be reduced are presented. It was specifically presented.

• Journal of the Korea Society of Computer and Information
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• v.15 no.11
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• pp.173-183
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• 2010

The purpose of this study is to examine the factors influencing RFID(Radio Frequency IDentification) diffusion. This study has been reviewed various theoretical research relating to innovation diffusion theory and RFID. The model was tested Structural Equation Modeling(SEM) using Smart PLS 2.0 analysis on the sample collected from 73 companies. The result of hypothesis testing is as follows. First, standardization, IS infrastructure influence positively RFID integration. Second, perceived benefits, inter-organizational cooperation, competitive pressure influence positively RFID usage. Third, RFID integration influence positively RFID usage. The results of this study will provide various implications on RFID diffusion.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.500-509
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• 2015

The purpose of this study is to induce a indicator related to the response, handling and management which are appeared on each step of business enforcement in Reconstruction projects. Then, it aims to appropriately and reasonably resolve the conflicts of reconstruction business with relevant subjects. These projects physician satisfaction and continual business was going to have the impact that any analysis of the structure in an evaluation. In addition, this study analyzes the impact structure on the business satisfaction and a intention for continuous business through this evaluation. This study sets a operational hypothesis in order to verify the relationship between the variables. then, it creates the structural model by using the Smart PLS 3.0. After analyzing the impact structure, this study adopts the final Five hypothesis which shows (+) path coefficient as set in the hypothesis and test statistic above 1.65. then, The 'Approval for union establishment(H1)' has a path coefficient of 0.127. In addition, the 'Approval for business enforcement(H2)' has a path coefficient of 0.343. The 'Management and disposition plan(H4)' has a path coefficient of 0.145. and the 'External Factors(H6)' has a path coefficient of 0.124. Finally, The 'satisfaction of business' which affects the 'intention for continuous business(H7)' has a path coefficient of 0.727.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.5
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• pp.478-489
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• 2016

Recently, there has been increasing interest in the remodecycling options of idle spaces around the central city through the urban regeneration. Various studies to create new added value through this way are ongoing. This study aims to analyze the impact relationship and structure on the regeneration of idle space by types affecting the quality of residents' life and local economy revitalization. The hypothesis was verified by a suitability test for setting the hypothesis and statistical significance test from the PLS 3.0 package. The results of this study drew 6 hypotheses from a total of 11 on the 'idle space regeneration of economy based type of PLS-SEM' and 4 hypotheses from a total of 11 on the 'idle space regeneration of neighborhood regeneration type PLS-SEM'. The results can be summarized into several parts. First, if cultural aspects should be considered, the regeneration of idle space (economy-based type and neighborhood-regeneration type) could meet 2 parts, such as the quality of residents' life and local economy revitalization at the same time. Second, improving the 'physical aspects' only affects the 'idle space regeneration of the economy-based type of PLS-SEM'. Third, improving the 'social aspects' only affects the 'idle space regeneration of neighborhood regeneration type of PLS-SEM'. This study has significance in that it provides the empirical analysis for the regeneration of idle space and there are differences according to types of PLS structural model.

• The Journal of Industrial Distribution & Business
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• v.10 no.2
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• pp.17-23
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• 2019

Purpose - This study aims to clarify the impact of smart health gadgets (specfically, smart watches/sports wristbands) on promoting healthy behavior. It also aims to understand the use and characteristics of the devices, to explore the relationship between device factors and factors that affect healthy behavior, and to discuss the development of health promotion. Research, design, data, and methodology - Smart device users were investigated through a random sampling method of 185 respondents, including all ages and all levels of occupation, education, and income. The SmartPLS 3.0 software enabled the path analysis and the descriptive statistical analysis; the theoretical model was evaluated for the parameter analysis. Results - The size and path of each factor impacting health promoting behavior were ascertained. The objective factors that attract users to the smart wristband were investigated as well as the methods by which the device and the HPM are bound to each other and the correlation factors to seek out the closest relationship. Conclusions - According to the analysis, the real-time smart watch/sports wristband exerts a positive impact on one's health promoting behavior. Health awareness is increasingly promoted in the process of using the device, and the impact of health awareness and self-efficacy effects on healthy behavior is considerable.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.6
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• pp.881-887
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• 2018

Various services using smart phones are being provided, and a variety of services are also provided in payment fields. Since the mobile payment services is closely related to the monetary part, various characteristics of the mobile system have a close relation with use trust. In this study, accessibility, compatibility, and security were selected as important factors in the mobile payment systems. We will examine how these system factors affect users' cognitive trust, emotional responses such as positive emotions and satisfaction. We surveyed users of mobile payment systems to achieve our research purposes. SPSS 23 and SmartPLS 2.0 were used for the analysis. The results showed that all system factors influenced cognitive trust and emotional response. However, positive emotions did not affect satisfaction. However, when we examine the relationship between emotional responses, positive emotions do not affect satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.7
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• pp.978-984
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• 2018

Structural equation modeling is pointing to statistical procedures that simultaneously perform path analysis and confirmatory factor analysis. Today, this statistical procedure is an essential tool for researchers in the social sciences. There are as AMOS, LISREL and PLS representative tools that can perform structural equation modeling analysis. AMOS provides a convenient graphical user interface for beginners to use. PLS has the advantage of not having a constraint on normal distribution as well as a graphical user interface. Therefore, we compared and analyzed the three most commonly used tools (applications) in social sciences. Based on structural equation modeling, confirmatory factor analysis was performed using the IBM AMOS Ver. 23, the LISREL 8.70 and the SmartPLS 2.0. The comparative results show that LISREL has the highest explanatory power of dependent variables than other analytical tools. The path coefficients and T-values presented by the analysis results showed similar results for all three analysis tools. This study suggests practical and theoretical implications based on the results.

• Informatization Policy
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• v.18 no.3
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• pp.25-49
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• 2011

As a way to gather diverse information required for everyday living, the importance of social networks has been growing. Social network services have been spreading rapidly because of diffusion of the Internet, evolution of social network sites, and recognition of the importance of social networks. Recently, the social network service has been evolved based on a new paradigm, Web 2.0, pursuing participation and openness. Following the adoption of Web 2.0 technologies, the social network service allows users to make and maintain new relationships in a more convenient way. Users of the social network service tend to reveal their personal information, and share their ideas and content with other people; in the process they become aware of their existence, feel satisfaction with life and exert influence to others as a member of the society. This study uses higher order factor analysis to analyze factors that affect the intention of using the social network service. A research model was developed with second-order factors including perceived social presence, perceived gratification and perceived social influence. First-order factors are grouped by technical, individual and social factors. Smart PLS 2.0 was used to conduct empirical analysis. The analysis results supported the validity of the research model.