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Customer Value Proposition Methodology Using Text Mining of Online Customer Reviews (온라인 고객 리뷰에 대한 텍스트마이닝을 활용한 고객가치제안 방법)

  • Han, Young-Kyung;Kim, Chul-Min;Park, Kwang-Ho
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.4
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    • pp.85-97
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    • 2021
  • Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

Online Shopping Research Trend Analysis Using BERTopic and LDA

  • Yoon-Hwang, JU;Woo-Ryeong, YANG;Hoe-Chang, YANG
    • The Journal of Economics, Marketing and Management
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    • v.11 no.1
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    • pp.21-30
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    • 2023
  • Purpose: As one of the ongoing studies on the distribution industry, the purpose of this study is to identify the research trends on online shopping so far to propose not only the development of online shopping companies but also the possibility of coexistence between online and offline retailers and the development of the distribution industry. Research design, data and methodology: In this study, the English abstracts of 645 papers on online shopping registered in scienceON were obtained. For the analysis through BERTopic and LDA using Python 3.7 and identifying which topics were interesting to researchers. Results: As a result of word frequency analysis and co-occurrence analysis, it was found that studies related to online shopping were frequently conducted on factors such as products, services, and shopping malls. As a result of BERTopic, five topics such as 'service quality' and 'sales strategy' were derived, and as a result of LDA, three topics including 'purchase experience' were derived. It was confirmed that 'Customer Recommendation' and 'Fashion Mall' showed relatively high interest, and 'Sales Strategy' showed relatively low interest. Conclusions: It was suggested that more diverse studies related to the online shopping mall platform, sales content, and usage influencing factors are needed to develop the online shopping industry.

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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    • v.18 no.2
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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.

Why Do People Spread Online Rumors? An Empirical Study

  • Jong-Hyun Kim;Gee-Woo Bock;Rajiv Sabherwal;Han-Min Kim
    • Asia pacific journal of information systems
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    • v.29 no.4
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    • pp.591-614
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    • 2019
  • With the proliferation of social media, it has become easier for people to spread rumors online, which can aggravate the issues arising from online rumors. There are many individuals and organizations that are adversely affected by malicious online rumors. Despite their importance, there has been little research into why and how people spread rumors online, thus inhibiting the understanding of factors that affect the spreading of online rumors. With attention seeking to address this gap, this paper draws upon the dual process theory and the de-individuation theory to develop a theoretical model of factors affecting the spreading of an online rumor, and then empirically tests it using survey data from 211 individuals about a specific rumor. The results indicate that the perceived credibility of the rumor affects the individuals' attitudes toward spreading it, which consequently affects the rumor spreading behavior. Vividness, confirmation of prior beliefs, argument strength, and source credibility positively influence the perceived credibility of online rumors. Finally, anonymity moderates the relationship between attitude toward spreading online rumors and the spreading behavior.

The Effect of University Students' Learning flow, Self-Directed Learning, and Learning Outcomes on Uncontacted Online Class Satisfaction (대학생의 학습몰입, 자기주도학습, 학습성과가 비대면 온라인 수업만족도 미치는 영향)

  • Lim, Jong Mi;Kim, Shin Hyang;Baek, Min Ja;Kim, Kyung Hwa
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.393-401
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    • 2021
  • This study is a descriptive research study to verify the relationship between university students' learning flow, self-directed learning, learning outcomes, and online class satisfaction, and to identify factors that influence online class satisfaction. There was a significant positive correlation between university students' learning flow, self-directed learning, learning outcomes, and online class satisfaction. Online class satisfaction had a positive effect on learning flow and learning outcomes, but self-directed learning had no direct effect. The explanatory power of online class satisfaction was 49%. Based on the above results, in order to increase online class satisfaction, a plan is needed to improve university students' learning flow and learning outcomes for online classes. In addition, instructor and university are required to actively endeavor and support to improve the quality of online classes.

Suggestions for the Development of Online Education at the College of Korean Medicine - Based on the Current Status of Online Education and Satisfaction Surveys due to COVID-19 - (한의과대학 온라인 교육의 발전을 위한 제언 - COVID-19에 따른 온라인 교육 현황과 만족도 조사 사례를 바탕으로 -)

  • Wie, Hyosun;Yang, In-Jun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.35 no.5
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    • pp.162-168
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    • 2021
  • This study was conducted to investigate the current status of online classes and evaluations during the COVID-19 pandemic and the satisfaction of students attending the College of Korean Medicine. A survey was conducted with students enrolled in Dongguk University's College of Korean Medicine. The questionnaire was divided into four areas asking about online lectures, laboratory practice, clinical practice, and evaluation experience. The items were composed of multiple-choice, a 5-point scale, and subjective type. After distributing the Google form address through SNS and LMS, only those who agreed to the questionnaire were responded anonymously. 149 out of 457 enrolled students responded. 98.7% of students experienced online lectures, and more frequently experienced real-time online lectures (98.6%) than recorded lectures (43.5%). Overall satisfaction with online lectures was 3.99 on average. 80.5% of the students experienced the online experiment and practice class, and the overall satisfaction with it was 3.29 on average. 1.3% of students experienced online clinical practice. 86.6% of students experienced online evaluation, and when asked about the fairness of the test, the average score was 3.99. Satisfaction with online lectures and evaluations is generally high, so it is expected to be used as an effective learning tool in the future. However, it seems that facility improvement and technical training of instructors are necessary. In experimental and practical education, the satisfaction level is lower than that of online lectures, so it seems necessary to develop a new online program and to prepare a safe offline education system.

Role of Online Reviews in the Local Search Context

  • Seunghun Shin;Zheng Xiang;Florian Zach
    • Journal of Smart Tourism
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    • v.3 no.3
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    • pp.29-40
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    • 2023
  • This research aims to understand the role of online reviews in the local search context by examining the effects of reviews on the representation of tourism businesses on local search platforms (LSPs). By simulating tourists' local searches for restaurants on three LSPs, namely Google, Bing, and Yelp, this study examines how different ranking results are generated across the platforms and how online reviews contribute to the differences. The findings suggest that online reviews are incorporated into LSPs as ranking factors and, thus, affect tourists' decision-making by influencing the information search results in the local search context. As one of the earliest studies on local search, this study discusses how the existing knowledge about the role of online reviews in tourists' decision-making needs to be reevaluated in mobile and more dynamic environments, and offers practical implications for tourism businesses' search engine marketing.

Factors Influencing Online Shopping Intention: An Empirical Study in Vietnam

  • HA, Ngoc Thang;NGUYEN, Thi Lien Huong;PHAM, Thanh Van;NGUYEN, Thi Hong Tham
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1257-1266
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    • 2021
  • The study examines factors that influence shopping intention of online consumers in Vietnam. Studied factors include consumers' attitude, subjective norms, perception of behavioral control, perception of usefulness, perceived risks and trust. The expansion of Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM) are used as basic theories. We have surveyed people who have experiences on online shopping. There are 836 selected questionnaires that are qualified for data processing. The collected data are analyzed through a process which starts from scale reliability test to exploratory factor analysis (EFA), correlation analysis and regression analysis. The results show that shopping intention of online consumers are positively affected by their attitude, subjective norms, perception of behavioral control, perception of usefulness and trust. In contrast, online shopping intention is negatively affected by the perceived risks that online shopping could bring. Among those factors, the perception of risk is shown to have the strongest influence to online shopping intention. The findings of this study suggest that managers and retailers can apply cash-on-delivery method and design their website with user-friendly interface to enhance online shopping intention of consumers. The Government is also recommended to fulfill the law system to reduce customers' perception of financial risks.

The influence of the perceived value of product pages information of online tea shop on consumers' purchase intention

  • Dongxu ZHANG;Wenyuan HU;Na ZHENG;Zhi QIAO
    • The Korean Journal of Food & Health Convergence
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    • v.9 no.3
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    • pp.1-9
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    • 2023
  • Nowadays, with the development of the internet and e-commerce, opening tea shops online has become an increasing choice for selling tea. However, the product page information of many online tea shops cannot effectively attract consumers, resulting in their profits being compromised. To investigate this, we conducted this paper and hope to provide effective suggestions. This paper is based on 229 questionnaires and selects the product page information of online tea shops as the research object. Using the four dimensions of perceived value theory as independent variables with consumer purchase intention as the dependent variable. A structural equation model was constructed to analyze the role of the perceived value of product page information in online tea shops how influencing consumers' purchase intentions. It was found that information on the perceived functional value of online tea shops did not have a significant positive effect on consumer purchase intentions. However, information on the perceived monetary value, perceived social value, and perceived emotional value of online tea shops had a significant positive impact on consumers' purchase intentions. Based on the above conclusions, online tea shops should focus on the expression of product page information to enhance the level of consumers' perceived value of tea products, thereby enhancing their intention to purchase tea products.

Analyses on the Perception's Differences of Online Teaching Activity according to the Level of Self-Directed Learning in Higher Education Using the IPA Technique

  • SUNG, Eunmo;CHOI, Jieun
    • Educational Technology International
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    • v.22 no.1
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    • pp.57-85
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    • 2021
  • The purpose of this study was to identify learners' perception of teaching activities in online classes that were forcibly switched due to COVID-19, and to compare and analyze differences in importance and performance of online teaching activities according to the level of self-directed learning in university students. To address these goals, 31 university students who took courses operated as online classes at university participated in this study, and the collected data were analyzed according to IPA procedures and methods. As a result, for online teaching activities, class attendance check and encouragement, clarity of class objectives, the ability to deliver the content of learning, and the ability of the instructor to deliver lectures were identified as factors to be constantly emphasized. Depending on the level of self-directed learning, there were significant differences between importance and performance in high level learners' interaction strategy with instructor, interaction strategy with learner, and timely provision of instructor's feedback. On the other hand, there was no significant difference between the importance and performance of online teaching activities for learners with a low level of self-directed learning. Based on these research results, several implications for the design of effective online teaching activities in future university education were proposed.