• Title/Summary/Keyword: Online Interaction

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Antecedents of internet purchasing intention - Impulse buying, market mavenism, online interaction readiness, and online consumer procrastination - (인터넷 구매의도의 선행변수 - 충동구매, 마켓메이븐 성향, 온라인 상호작용 준비성, 온라인 소비자 연기 -)

  • Park, Hye-Jung
    • The Research Journal of the Costume Culture
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    • v.25 no.5
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    • pp.593-610
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    • 2017
  • In order to identify the antecedents of internet purchasing intention toward fashion items, this study examines shopping-related variables as both direct antecedents of internet purchasing intention, and as indirect antecedents of internet purchasing intention through online-related variables. Impulse buying and market mavenism were considered as shopping-related variables, whilst online interaction readiness and online consumer procrastination were considered as online-related variables. It was hypothesized that impulse buying and market mavenism not only directly influence purchasing intention toward fashion items, but also indirectly influence it through online interaction readiness and online consumer procrastination. Data were gathered by surveying university students in Seoul using convenience sampling. A total of 286 questionnaires were used in the statistical analysis. SPSS was used for exploratory factor analysis, and AMOS was used for confirmatory factor analysis and path analysis. The factor analysis of market mavenism, impulse buying, and online consumer procrastination revealed one dimension, whilst the factor analysis of online interaction readiness revealed two dimensions: 'online relationship' and 'internet role.' Tests of the hypothesized path proved that impulse buying indirectly influences internet shopping intention only through online consumer procrastination, whereas market mavenism influences internet shopping intention indirectly through both online interaction readiness and online consumer procrastination. The results will be useful for Internet shopping mall marketers and for future study.

A Structured Analysis Model of Customer Loyalty in Online Games (고객 충성도(Customer Loyalty)에 영향을 미치는 온라인 게임의 중요 요소에 대한 LISREL 모델 분석)

  • Choi, Dong-Seong;Park, Sung-June;Kim, Jin-Woo
    • Asia pacific journal of information systems
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    • v.11 no.3
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    • pp.1-21
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    • 2001
  • In recent years, the market for online computer games has become an important part in the entertainment industry. New online games have been introduced every month and the numbers of game players who are playing online games have grown rapidly. However, only a few online games have been successful in making a good profit among many online games. Why are most players playing only a few online games repeatedly? To answer the question, this research focuses on the customer loyalty and their optimal experience(flow) in playing specific online games. This research hypothesizes that customer loyalty for specific online game can be increased by customers' optimal experience(flow) in playing it, and they would feel optimal experience because of mechanic and social interaction in online games. In order to validate the hypothesis, this research analyzes online survey data of players of various online games. According to this survey results, players' optimal experience is affected by their mechanic interaction between a player and an online game system, and their social interaction with other players who participated in the online game. And their optimal experience during playing the online game affects the degree of customer loyalty to the game. This paper ends with conclusions of the survey results and study limits.

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The College Students' Satisfaction related to Expectation and Interaction in the Online Counseling Courses

  • HEO, JeongChul;HAN, Su-Mi
    • Educational Technology International
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    • v.12 no.2
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    • pp.117-134
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    • 2011
  • Online education is moving forward with more interactive environments due to the availability of new technologies. In addition, many researches have represented that interaction and high motivation are very critical factors in order to improve students' motivation and teaching effectiveness in online learning and education. Therefore, it is very meaningful for students and educators that motivation and effectiveness are observed by positive expectation and interaction satisfaction in their online counseling courses. For this study, two important instruments are used: Modified Short Forms of Instructional Materials Motivation Survey and Student Evaluation of Online Teaching Effectiveness. Results show that high expected students who are satisfied with interaction indicate higher motivation and evaluation on the online teaching effectiveness than low expected students who are not satisfied with interaction.

A Study on Social Interaction Factors Influencing on Excessive Online Game Usage (온라인 게임 과몰입에 영향을 주는 사회적 상호작용 요인에 관한 연구)

  • Kim, Yong-Young;Kim, Mi-Hye
    • Journal of Digital Convergence
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    • v.14 no.1
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    • pp.387-398
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    • 2016
  • The market size of online games has been rapidly growing as well as the behaviors of online gaming users have been changed. Online games are different from the traditional video games, because they permit players to interact each other during playing games. Today online gaming is a part of everyday life and social interaction has an impact on online gaming behaviors. Social interaction does not only have a positive impact on online game behaviors, but it also has a negative impact on them such as excessive online game usage. Previous research has a limitation to consider social interaction as a comprehensive concept. In order to fill the gap, we explore the factors of social interaction influencing on excessive online game usage. After reviewing previous literature, this study chooses three factors of social interaction such as escaping loneliness, expanding online social bridging capital, and reinforcing offline social bonding capital. The findings show that all of three factors of social interaction positively affect the excessive online game usage.

Perception of University Instructors for Designing Online Interactions: Findings from Importance-Performance Analysis

  • LIM, Ji Young;KIM, Seyoung;CHO, Mi Kyung;LIM, Eugene
    • Educational Technology International
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    • v.22 no.2
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    • pp.199-225
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    • 2021
  • The aim of the current study was to suggest priorities needed to be considered by university instructors when designing online learning. Based on three types of interactions (learner-content, learner-instructor, and learner-learner interactions) for effective online learning (Moore, 1989), draft questionnaires representing each type of interaction were written. After examining content validity by two Ph.D. experts, the survey was constructed with an Importance-Performance Analysis (IPA) form. Data of 133 university instructors were collected online. Results showed that support for designing learner-learner interaction was the priority for improving online learning. In terms of learner-instructor interaction, instructors needed to provide social-emotional support to learners so that learners could have a sense of belonging. For learner-instructor interaction, supporting instructors to monitor the level of understanding was the most highly demanding strategy for online learning. Limitations and suggestions for further studies were discussed.

The Intention to Play Online Games in China (중국 게이머의 온라인게임 참여의도에 관한 연구)

  • Yoon, Ki-Chang;Xu, Hasisheng;Lim, Dal-Ho
    • The Journal of Industrial Distribution & Business
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    • v.9 no.4
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    • pp.63-72
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    • 2018
  • Purpose - The purpose of this paper is to investigate the effects of online game properties, social interaction, and player satisfaction on intention to online games in Chinese gamers. Research design, data, and methodology - This study is an empirical analysis assuming that properties of online games, social interaction and satisfaction will induce Chinese gamers' intention to play online games. We set the relationship between the six variables as follows. First, the properties of online games, exogenous variables, were identified by three factors: entertainment, security, participation and challenge. Second, we had input social interaction among gamers as another exogenous variables. Third, the gamer's satisfaction of online games was added to the research model as a mediating variable between exogenous variables and endogenous variables. Finally, gamer's intention to play influenced by satisfaction and social interaction was used as final endogenous variable. The data used for the empirical analysis were collected through questionnaires for Chinese under age 35 who enjoy the online games. The data used in the research were finally extracted from 195 questionnaires. The collected data were tested through the analysis of the measurement model (Step 1) and the analysis of the structural model (Step 2). The covariance structure equation model (SEM) was used for the analysis. The measurement model and structural model were evaluated by the maximum likelihood method. Results - The results of the empirical analysis are as follows. The satisfaction of online games were entertainment and security had a significant effect to satisfaction; but participation and challenge and social interaction had no significant effect on satisfaction. The social interaction among gamers and the satisfaction with online games have a significant influence on the intention to play online games. As a result, the attributes of the game were affecting the intention to play the game after satisfaction. Social interaction influenced the intention to play online games rather than satisfaction itself. Conclusions - This study provide some practical implications for the new companies who want to enter the online game industry and seek to competitiveness in China, and provide theoretical implications on the role of interaction among gamers in the study of online games.

Examining Interaction Patterns in Online Discussion through Multiple Lenses

  • HAN, Seungyeon
    • Educational Technology International
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    • v.15 no.2
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    • pp.117-141
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    • 2014
  • This qualitative study investigated different interaction patterns in an online discussion. The data was collected from asynchronous discussion occurred in a graduate course. The data analysis methods include inductive analysis and mapping strategy. The results of the study suggest three layers of interaction: response sequences, interaction amongst participants, and concept map of messages. The visualization of response sequences enabled the researcher to discover complex and dynamic interaction patterns amongst participants. The many-to-many communication feature of online discussion does not always enable direct one-on-one interaction between two participants. Rather, one message contributed to multiple threads in the stream of conversation. In terms of interaction amongst participants, the interaction amongst participants, as indicated in the data, the messages also bind each participant and consequently a group(s) of participants together. It appears that the contribution of one message may not only enable a response to one participant, but also connect many participants to each other. The concept map of messages proposes that response sequences and interaction amongst participants can also be viewed between concepts within messages in the discussion. On the surface, the messages posted by individuals are linked by the system in a linear fashion as they are posted. However, the interaction extends to collaborative conversation amongst participants. Ultimately, a conceptual network of interrelated ideas including multiple perspectives is built in asynchronous discussion.

Research on Improving Online Learning Participation based on Self-Determination Theory: Focusing on Psychological Need Satisfaction and Digital Interaction (자기결정이론 기반 온라인 학습 참여도 향상에 관한 연구: 심리적 욕구충족 및 디지털 상호작용을 중심으로)

  • Jinze He;Qiang Wang;Daihwan Min;Hanjin Lee
    • Journal of Information Technology Services
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    • v.22 no.6
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    • pp.103-114
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    • 2023
  • In the post-pandemic era, colleges and students keep passion for learning online sine its unique advantages. This study explores how students' basic psychological needs drawn from self-determination theory, connect to interaction, and learning engagement in the context of online learning. While prior research explored students' intentions, digital interactions, and engagement in online learning, this study aims to come up with a united conceptual model drawing the three basic psychological needs and interaction and their effects on learning engagement. 178 response data collected through a questionnaire survey, were analyzed using PLS-SEM. Findings indicate that online learning interaction enhances intrinsic motivation, leading to higher learning engagement. Autonomy emerges as the most influential psychological need on learning engagement. This study integrates self-determination theory with online learning interactions and engagement and offers practical insights. Future research should examine long-term outcomes and diverse student populations.

The Impact of Interaction of Art Education in the Era of Pandemic on Satisfaction and Behavioral Intent: Focusing on Online and Offline Comparisons (팬데믹 시대 예술교육 상호작용이 만족도와 행동의도에 미치는 영향 연구: 온라인과 오프라인 비교를 중심으로)

  • Kim, Kwang-Cheol;Song, Jin-Ho
    • Journal of the Korea Convergence Society
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    • v.12 no.9
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    • pp.99-111
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    • 2021
  • This study confirms whether interaction and satisfaction between educators and learners can be repeated as artistic activities in art education and compares online and offline differences. And it suggests ways to enhance the effectiveness of online art education. As a method of research, literature analysis shall be conducted on art education, educational and social interaction, satisfaction, and behavioral intent. Two surveys were conducted on online and offline education for music and art students who completed art education lectures. As a result, 89 online and 56 offline students participated. The higher the satisfaction level of educational and social interaction in art education, the more it led to artistic activities. Educational interaction in online art education was higher, social interaction was lower, and it was different from offline.

Perceived Interaction in Online Classes and Technology Acceptance Model to Student Satisfaction (원격교육환경에서 기술수용모델과 상호(相互)작용이 고객만족에 미치는 영향)

  • Lee, Jung-Wan;Kim, Young-Ei
    • Journal of Distribution Science
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    • v.7 no.3
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    • pp.25-48
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    • 2009
  • This paper examines an augmented technology acceptance model, which includes perceived interaction as a mediator in the relationships between the technology acceptance model (perceived ease of use, perceived usefulness) and student satisfaction in online classes, and its impact on student satisfaction. Data has been collected from 842 undergraduate students in online universities. The data is analyzed by using factor analysis and structural equation modeling techniques. The results demonstrate that perceived ease of use, perceived usefulness, and perceived interaction serve as predictors for student satisfaction in online classes. Perceived usefulness has a positive relationship with perceived interaction while perceived ease of use has no effect on interaction.

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