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Featured researches published by Haengnam Sung.


Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology | 2017

The Influences of Social Network and Website Characteristics on Trust to Enhance Purchase Intention

Haengnam Sung; Jae-Ik Shin

The objective of this study is to investigate how social network and website characteristics play a significant role in vitalizing social shopping, as well as to examine how two types of trust affect purchase intention from the website. Structural equation modeling(SEM) of AMOS 18.0 was used to test the hypotheses. The findings demonstrated that perceived ability and perceived benevolence of social network characteristics and trust in a website are positively associated with trust in product recommendation. Second, Received (June 27, 2017), Review Result (July 11, 2017) Accepted (July 18, 2017), Published (September 30, 2017) (First Author) Lecturer, Dept. of Management Information Systems, Gyeongsang National University, 501 Jinju-Daero, Jinju 52828, South Korea email: [email protected] (Corresponding Author) Assistant Professor, Dept. of E-business, Gyeongnam National University of Science Technology, 33 Dongjin-Ro, Jinju 52725, South Korea email: [email protected] *이 논문은 2017년도 경남과학기술대학교 대학회계 연구비 지원에 의하여 연구되었음. The Influences of Social Network and Website Characteristics on Trust to Enhance Purchase Intention Copyright c 2017 HSST 98 perceived website reputation and perceived website quality of website characteristics are positively associated with trust in a website. Third, trust in product recommendation is positively associated with intention to purchase products and intention to purchase products from the website. Fourth, intention to purchase products is positively associated with intention to purchase products from the website. However, trust in a website is not associated with intention to purchase products from the website. Thus, it is identified that trust in product recommendation is more significant factor to improve intention to purchase products and intention to purchase products from the website. Some implications are derived from the analysis results and research limitations are also provided with the conclusions.


International journal of security and its applications | 2016

The Antecedent and Consequence of Trust in Social Shopping

Haengnam Sung; Wonjong Kim; Jae-Ik Shin

The continuous fever of social media shows that social shopping signifies the main future e-commerce opportunities. For academics, it would be one of the most important and stimulating research topics, which creates values of great theoretical and practical implication. This paper aims to reveal the importance of understanding trust in a website and trust in product recommendation to enhance purchase intention through social network service (perceived ability, perceived integrity, and perceived critical mass). The research model is empirically tested with survey data from 170 respondents who have experienced social shopping in South Korea. The findings indicated that social network service can be conceptualized as a composite of three dimensions (perceived ability, perceived integrity, and perceived critical mass) and perceived critical mass is the most important factor for social network service. Second, social network service has positive influences on trust in a website, trust in product recommendation, and purchase intention. Interestingly, social network service has the most effect on trust in a website and the least effect on trust in product recommendation. Third, trust in a website has positive influences on trust in product recommendation and purchase intention. Fourth, trust in product recommendation has a positive influence on purchase intention. While social network service has the most impact on purchase intention of social shopping, trust in a website has the least impact on it. Thus, the research model demonstrated the importance of social network service to purchase intention. Social shopping websites should focus on establishing the higher level of social network service that can provide the useful information about product recommendations and effective website designs that customers trust.


Journal of the Korea Society of Digital Industry and Information Management | 2015

A Comparative Study on the Performance of Intrusion Detection using Decision Tree and Artificial Neural Network Models

Seongrae Jo; Haengnam Sung; Byung-Hyuk Ahn


Education 3-13 | 2015

The Effects of Self-Efficacy and Social Influence on Behavioral Intention in Mobile Learning Service

Haengnam Sung; Dae-Yul Jeong; Yeonsu Jeong; Jae-Ik Shin


Archive | 2015

The Relationship among Self-Efficacy, Social Influence, Performance Expectancy, Effort Expectancy, and Behavioral Intention in Mobile Learning Service

Haengnam Sung; Dae-Yul Jeong; Yeonsu Jeong; Jae-Ik Shin


Information-an International Interdisciplinary Journal | 2017

The Relationship among Self-Efficacy, Teaching Presence, Learning Presence, Learner-Instructor Interaction, Satisfaction, and Recommendation Intention in South Korea

Haengnam Sung; Dae-Yul Jeong; Jae-Ik Shin


Asia-pacific Journal of Multimedia services convergent with Art, Humanities, and Sociology | 2017

Website Quality and Offline Service Quality to Enhance Stickiness in China: The Moderating Effect of Job

Yan Qing Zhang; Haengnam Sung; Jae-Ik Shin


International Journal of u- and e- Service, Science and Technology | 2016

What Are the Important Factors Switching Intention to Volatile Social Networking Services

Haengnam Sung; Byung-Hyuk Ahn; Yeonsu Jeong; Dae-Yul Jeong


Ibusiness | 2016

Why Switch to a Volatile Social Network Services

Haengnam Sung; Byung-Hyuk Ahn; Yeonsu Jeong; Dae-Yul Jeong


Education 3-13 | 2016

The Effects of Self-Efficacy and Presence on Recommendation Intention in Facebook Learning Service

Haengnam Sung; Dae-Yul Jeong; Jae-Ik Shin

Collaboration


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Jae-Ik Shin

Gyeongsang National University

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Dae-Yul Jeong

Gyeongsang National University

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Wonjong Kim

Gyeongsang National University

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Seongrae Jo

Gyeongsang National University

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