• Management & Information Systems Review
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• v.26
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• pp.153-180
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• 2008

Most previous electronic commerce studies have focused on a single product or similar products. The effects of different product types have been relatively neglected. and so previous studies have limited the generalization. The purpose of this study was to explore the effects of different product types. The Internet product and service classification grid proposed by Peterson et al.(1997). A survey-based approach was employed to investigate the research questions. Regression analysis demonstrated that the determinants of online shopping acceptance differ among product or service types. As a result of analysis, personal innovativeness of information technology, perceived Web security, personal privacy concerns, and product involvement can influence consumer acceptance of online shopping, but their influence varies according to product or service types.

• Management & Information Systems Review
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• v.35 no.3
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• pp.213-230
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• 2016

In O2O environment(Online-to-Offline), providers attract new customers via web sites and lead them to pay online, then induce them again to offline when receiving products. Thus, online and offline channel is integrated and create synergy for marketing in O2O context. As online and offline channel coexist in O2O, consumers' perceptions for products and services that providers offer cannot help being different compared to an independent channel (i.e., either online or offline). Therefore, this research aims to develop the O2O service quality model(O2O-SQ model). Especially, O2O is the unique environment where offline, online, and mobile commerce are integrated so that the current paper suggests the $1^{st}$ O2O-SQ model by integrating the common factors of offline, online, and mobile service quality model through the previous literature review. Hence, this study conducts FGI(Focus Group Interview) for customers who have experienced in purchasing products in O2O commerce. Among integrated common service quality factors of $1^{st}$ O2O-SQ model, the current paper identifies the specific service quality factors that customers perceive significantly through FGI analysis. Moreover, after extracting the unique O2O-SQ factors with this qualitative analysis and integrating with the $1^{st}$ O2O-SQ model, the paper develops the final O2O-SQ model.

• Korean Management Science Review
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• v.22 no.1
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• pp.47-66
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• 2005

Online game business has emerged as the most lucrative entertainment Industry, with over 10 million players in South Korea. The popularity of online games can be attributed to the availability of broadband network and the presence of numerous PC Bangs and around the country, which have pushed online games Into the main-stream entertainment culture. The age distribution of online game players is expanding and a variety of new games are under development to target certain age groups. While the interactive entertainment market continues to expand, with many new online game publishers entering the market, relatively little is known about which factors influence online game players' behavioral intentions to play continuously in this area. It appears that in this extremely attractive and growing services segment, academics, as well as practitioners, would benefit from in vestigating the relationships among the players' loyalty, interactivity, the sense of presence and the impacts of several other key game-related constructs. Several types of interaction in on-line games and their relationship with the flow construct are investigated, and the resulting conceptual model is proposed. Based on data collected from online questionnaire survey, the validity of the simultaneous equation model has been tested and interesting conclusions have been developed concerning the relationships between the players' loyalty to the sense of presence, flow, satisfaction and interactions. Other interesting results concerning game development strategy are also provided.

• Korean Management Science Review
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• v.23 no.2
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• pp.41-57
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• 2006

The purposes of this research are to identify causalities among flow and customer loyalty In Chinese online games, and to identify the factors by which flow are influenced. This research tests the model with Chinese on-line game users and compare this result with Korea and Japanese results which were conducted by Lee's research. These implications are thought to be helpful for Korean online game companies to understand the Chinese online game user and to develop the penetration strategies. The results indicated that significant Path coefficients to flow were the convenience of operator, the provision of information, the reality of design. The results indicated that significant path coefficients to customer loyalty were the involvement of virtual community and flow. The involvement of virtual community to flow was not significant but to customer loyalty was significant. The provision of information was negatively influenced on flow. The result of comparison indicated that the path coefficients were different among nations. Korea online game companies need to develop the indigenized online game and to Provide the information to their Chinese partner correctly and quickly.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.8-12
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• 2023

With the recent expansion of online lectures, studies on their effectiveness and their influencing factors have increased. This study examines the factors affecting the satisfaction of online classes, considering the utilization and importance of online lectures, which have greatly increased in recent years. Based on the review of previous studies, this study identified learning presence, self-efficacy, and learning immersion as factors affecting the satisfaction of online classes, and suggested hypotheses that explain the relationship between these factors, and empirically reviewed the hypotheses. As a result of the study, it was found that learning presence and self-efficacy had a positive effect on learning immersion, and learning immersion had a positive effect on learning satisfaction. Based on the research results, some practical implications for improving the satisfaction of online classes were suggested.

• Korea Journal of Hospital Management
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• v.29 no.2
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• pp.18-36
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• 2024

This study delved into the complex nature of medical services as experience goods and trust services, investigating the profound impact of online word-of-mouth on medical consumers' decisions to visit hospitals. Considering the restrictive legal framework for medical advertising, consumers are increasingly dependent on unrestricted sources of information like online reviews. This research aimed to provide empirical evidence for the significant role online word-of-mouth plays in hospital selection. Utilizing data from Naver reviews, hospital choice factors were classified based on the Kano model, revealing the subtle yet significant influence that word-of-mouth has on consumers' hospital visit intentions beyond merely positive or negative messages. In particular, the study provided insights into how the categorized positive and negative information, along with the presence or absence of emotional expression, affects the efficacy of word-of-mouth. The experiment targeted medical consumers aged over 20 and, through analysis using the SPSS statistical program, yielded important findings. The direction of online word-of-mouth, the presence of emotional expression, and the interaction of Kano attributes all created significant differences in hospital visit intentions. Notably, emotional expression included in negative word-of-mouth concerning one-dimensional attributes markedly decreased visit intentions, whereas the absence of emotional expression in attractive attributes actually enhanced reliability and increased visit intentions. These findings offer critical implications for redefining strategies in medical marketing and online review management. The discoveries of this study underscore the importance of active engagement and strategic management of online reviews by medical service providers, urging careful consideration of the various elements of online word-of-mouth that influence medical consumers' hospital visit intentions.

• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.191-205
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• 2012

A book review is one of the most important sources of information which provide the descriptive and evaluative contents about books. Reviews have great influence on consumer behavior because they are believed to be more reliable than information provided by sellers. Readers who read a book review includes information about book decide whether they will buy or not. This study examines customer attitude change by book reviews with regarding to different type of information sources(experts and prior customers) and different directions of messages. We address the following research questions: (1) Can positive book reviews with credibility have a positive impact on acceptance of books? (2) Can negative book reviews with credibility have a negative impact on acceptance of books? The results shows that a credibility is an essential factor for affecting customers' mind. When positive book reviews were written, both expert and customer opinions have a positive impact on acceptance of customers. Given negative book reviews of experts, trustworthiness is more important than expertise. However, a objectivity of customer's reviews is more important.

• Korean Management Science Review
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• v.28 no.3
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• pp.95-112
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• 2011

The Internet has generated a number of online review sites where dissatisfied consumers can easily articulate their opinions and comments on products or services. Little attention, however, has been directed to investigating the relationship between negative electronic word-of-mouth (eWOM) and its critical determinants that affect consumers' purchasing behaviors. This study attempts to explore the influence of the key determinants of consumers' negative eWOM behaviors, including their social relationships online. The results show that tie strength is positively associated with the proposed determinants, such as information credibility, external search efforts, and product involvement. Further, we find that perceived risk plays a mediating role in the relationship between consumers' intention to spread eWOM and its key determinants.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.41-63
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• 2023

As the online e-commerce market growing, the need for a recommender system that can provide suitable products or services to customer is emerging. Recently, many studies using the sentiment score of online review have been proposed to improve the limitations of study on recommender systems that utilize only quantitative information. However, this methodology has limitation in extracting specific preference information related to customer within online reviews, making it difficult to improve recommendation performance. To address the limitation of previous studies, this study proposes a novel recommendation methodology that applies deep learning technique and uses various linguistic factors within online reviews to elaborately learn customer preferences. First, the interaction was learned nonlinearly using deep learning technique for the purpose to extract complex interactions between customer and product. And to effectively utilize online review, cognitive contents, affective contents, and linguistic style matching that have an important influence on customer's purchasing decisions among linguistic factors were used. To verify the proposed methodology, an experiment was conducted using online review data in Amazon.com, and the experimental results confirmed the superiority of the proposed model. This study contributed to the theoretical and methodological aspects of recommender system study by proposing a methodology that effectively utilizes characteristics of customer's preferences in online reviews.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.115-122
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• 2019

In the online marketplace, consumers are exposed to various products and freely express opinions. As consumer product reviews have a important effect on the success of online markets and other consumers, online market needs to accurately analyze the consumers' emotions about their products. Text mining, which is one of the data analysis techniques, can analyze the consumer's reviews on the products and efficiently manage the products. Previous studies have analyzed specific domains and less than 20,000 data, despite the different accuracy of the analysis results depending on the data domain and size. Further, there are few studies on additional factors that can improve the accuracy of analysis. This study analyzed 72,530 review data of food product domain that was not mainly covered in previous studies by using ensemble technique. We also examined the influence of summary review on improving accuracy of analysis. As a result of the study, this study found that Boosting ensemble technique has the highest accuracy of analysis. In addition, the summary review contributed to improving accuracy of the analysis.