• 제목/요약/키워드: online interaction analysis

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

  • 박혜정
    • 복식문화연구
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    • 제25권5호
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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.

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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    • 제22권2호
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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.

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

  • 윤기창;서해생;임달호
    • 산경연구논집
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    • 제9권4호
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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.

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

  • 최동성;박성준;김진우
    • Asia pacific journal of information systems
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    • 제11권3호
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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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Examining Interaction Patterns in Online Discussion through Multiple Lenses

  • HAN, Seungyeon
    • Educational Technology International
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    • 제15권2호
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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.

Understanding Information Sharing Among Scientists Through a Professional Online Community: Analyses on Interaction Patterns and Contents

  • Shin, Eun-Ja;Lee, Guiohk;Choi, Heeyoon
    • Journal of Information Science Theory and Practice
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    • 제5권4호
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    • pp.26-38
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    • 2017
  • Even through many professional organizations increasingly use Q&A sites in their online communities for information sharing, there are few studies which examine what is really going on in the Q&A activities in professional online communities (POC). This study aims to examine the interaction patterns and contents posted in the Q&A site of a POC, KOSEN, a science and technology online community in South Korea, focusing on how actively scientific information and knowledge are shared. The interaction patterns among the participants were identified through social network analysis (SNA) and the contents in the Q&As were examined by content analysis. The results show that the overall network indicated a moderate level of participation and connection and answerers especially tended to be active. Also, there are different interaction patterns depending on academic fields. Relatively few participants were posting leaders who seemed to steer the overall interactions. Furthermore, some content related to manipulation and explanation for experiments, which are in urgent need, seem to be posted in the sites more frequently with more amounts. Combining both SNA and content analysis, this study demonstrated how actively information and knowledge is shared and what types of contents are exchanged. The findings have practical implications for POC managers and practitioners.

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

  • 이정완;김영이
    • 유통과학연구
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    • 제7권3호
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    • pp.25-48
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    • 2009
  • 본 연구의 목적은 기술수용모델이 원격교육환경에서 인지된 상호(相互)작용에 미치는 영향을 탐색하고, 확장된 기술수용모델이 원격교육환경에서의 고객만족에 미치는 영향을 총체적으로 탐색하고자 하였다. 자료는 2009년 봄 학기에 원격교육대학에 등록된 842명의 학생들로부터 수집하였다. 또한 수집된 자료는 요인분석과 구조방정식 모형을 이용하여 분석하였다. 자료 분석 결과, 인지된 유용(有用)성이 원격교육환경에서의 인지된 상호(相互)작용과 유의한 관계를 가지고 있으며, 인지된 용이(容易)성, 유용(有用)성, 그리고 인지된 상호(相互)작용이 모두 고객만족에 유의한 영향을 미치는 것으로 나타났다.

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Analysis of Changes in University Students' Awareness of Online Classes from 2020 to 2022 during the COVID-19 Pandemic

  • Eunmo SUNG;Sumi KANG
    • Educational Technology International
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    • 제25권1호
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    • pp.129-159
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    • 2024
  • The purpose of this study was to examine changes in students' awareness of online classes in university education over the three years from 2020 to 2022 during the COVID-19 pandemic. To achieve this, various aspects of online classes, including self-directed learning, interaction (between instructors and learners, and among learners), evaluation of the learning process and outcomes, and the learning environment and control of learning, were analyzed for changes from 2020 to 2022. The study included 534 university students enrolled in University A who participated in online classes in both 2020 and 2021. The results indicated that there was no significant difference in the awareness of self-directed learning, but significant differences were found in the awareness of interaction, evaluation of the learning process and outcomes, and the challenge related to learning environment and control of learning in online classes, which were higher in 2021 and 2022 than in 2020. Additionally, detailed changes in awareness of online classes showed significant differences in specific aspects of awareness in university online classes. In summary, students' awareness of online classes improved in 2021 and 2022 compared to 2020, as learners adapted to online classes due to the COVID-19 pandemic. Moreover, it was observed that difficulties in the challenge related to learning environment and control of learning were overcome in 2021. Based on these research findings, several implications for improving the design and operating strategies of effective online classes in future university education were proposed.

Exploring Online Learning Profiles of In-service Teachers in a Professional Development Course

  • PARK, Yujin;SUNG, Jihyun;CHO, Young Hoan
    • Educational Technology International
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    • 제18권2호
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    • pp.193-213
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    • 2017
  • This study aimed to explore online learning profiles of in-service teachers in South Korea, focusing on video lecture and discussion activities. A total of 269 teachers took an online professional development course for 14 days, using an online learning platform from which web log data were collected. The data showed the frequency of participation and the initial participation time, which was closely related to procrastinating behaviors. A cluster analysis revealed three online learning profiles of in-service teachers: procrastinating (n=42), passive interaction (n=136), and active learning (n=91) clusters. The active learning cluster showed high-level participation in both video lecture and discussion activities from the beginning of the online course, whereas the procrastinating cluster was seldom engaged in learning activities for the first half of the learning period. The passive interaction cluster was actively engaged in watching video lectures from the beginning of the online course but passively participated in discussion activities. As a result, the active learning cluster outperformed the passive interaction cluster in learning achievements. The findings were discussed in regard to how to improve online learning environments through considering online learning profiles of in-service teachers.

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

  • 김광철;송진호
    • 한국융합학회논문지
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    • 제12권9호
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    • pp.99-111
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    • 2021
  • 본 연구는 예술교육에서 교육자-학습자 간의 상호작용에 대한 만족도에 따라 행동의도(창작·참여)로 순환될 수 있는지를 확인하고 온라인, 오프라인 차이를 비교하는 것으로 온라인 예술교육 효과를 제고하는 방안을 제시한다. 연구방법으로는 예술교육 및 교육적·사회적 상호작용과 만족도, 행동의도를 문헌분석하고 예술교육을 수강하는 음악, 미술전공생을 대상으로 동일한 과목의 온라인과 오프라인 교육에 대한 설문조사를 2회 실시하였다. 그 결과 온라인 89명, 오프라인 56명의 학생이 참여하였고 예술교육에서의 교육적, 사회적 상호작용에 따른 만족도가 높을수록 행동의도로 연결되는 관계가 증명되었다. 특히, 온라인 예술교육은 교육적 상호작용 수준이 더 높고 사회적 상호작용이 낮게 나타나 오프라인과 유의한 차이가 나타났다. 따라서 온라인 예술교육이 높은 만족도와 창작활동으로 연결되기 위해서는 교육자와의 사회적 관계를 위한 커뮤니케이션 활동을 강화하고 온라인 매체 경험을 다각화하여 참여 적극성을 높인다면, 오프라인 이상의 학습효과를 얻을 수 있다.