• International Journal of Internet, Broadcasting and Communication
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• v.13 no.3
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• pp.109-117
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• 2021

Although previous studies on social commerce have provided much insight, more studies in the perspective of social network are needed because social commerce happens within online communities or virtual groups, where buyers connect and interact with each other by sharing information. So, the purpose of this study is to investigate how transactive memory as network characteristic can affect social commerce behavior through social support and relationship quality. We verified the relational effect among social support, relationship quality, and social commerce intention in the Korean market context. Moreover, we found transactive memory capability also played an essential role in the field of social commerce. Specifically, we found consumer's transactive memory capability plays a significant moderating role in the relation between social support and relationship quality.

• Journal of East Asia Management
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• v.4 no.2
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• pp.19-38
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• 2023

With the progress of information technology and the rapid development of the gamification marketing, corporate marketing through virtual CSR co-create as customer acquisition, customer retention strategy has become the hot topic, but the reality results show that the effect of virtual CSR co-create fails to reach an enterprise's marketing purposes. Based on the success model of D&M information system, from the perspective of customer engagement, this study analyzes how enterprises achieve customer engagement and bring gameful experience to customers through gamification marketing in the context of virtual CSR co-create. The empirical results show that the quality of game information -- social interaction and sense of achievement in the context of virtual CSR co-create have a significant positive impact on consumers' gameful experience, and customer engagement plays a partial mediating role between social interaction, sense of achievement and consumers' gameful experience.

• Asia Marketing Journal
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• v.26 no.2
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• pp.90-103
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• 2024

This study investigates the influences of the head movement (nodding vs. head shaking vs. nothing) on consumer attitude and purchase intention toward the product in an online shopping context and introduces the consumer motivation (need vs. want) as a moderating factor for this relationship. Through two studies, this article finds that nodding, as opposed to head shaking or no movement, leads to more positive attitudes and higher purchase intentions toward the product, and this effect is strengthened when the shopping is pursued with a need compared to a want motivation. The effect is found specifically in the fashion industry, where online shopping is most prevalent. Both theoretical and practical implications are discussed.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.6
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• pp.1063-1074
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• 2021

Selfie behavior, the act of taking a picture of oneself and distributing it on social media, has become increasingly popular. Researching how to communicate with others in a social context and express hoped-for self through selfies is essential for studying consumers in the digital age. This study investigates the effects of reflected appraisals on selfie expectations and selfie behaviors. Additionally, the interaction effect of hoped-for self on the relationships between reflected appraisals and selfie expectations was tested. A web-based survey was conducted on consumers above the age of 20 who have engaged in selfie behavior in the past month. A total of 495 responses were collected from a panel of online survey firms. The survey results were analyzed using confirmatory factor analysis by AMOS 21.0 and bootstrap analysis by SPSS Macro process Model 4 and 7. Results indicated that reflected appraisals influenced selfie behavior, which was fully mediated by selfie expectations. Furthermore, the effect of reflected appraisals on selfie behavior was moderated by hoped-for self. The results will serve as a theoretical basis for understanding the psychological expectations in which selfie behavior is formed in a social context and can be applied in psychotherapy and marketing in practice.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.1
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• pp.17-32
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• 2022

This study aimed to examine the effect of ad attributes on engagement, the mediating effect of engagement on the relationship between ad attributes and advertising effectiveness (attitudes toward ads, continuous intention to search, and e-WOM intention), and the differences in advertising effectiveness at different levels (low vs. high) of curiosity toward fashion video ads in the online context. For this purpose, a total of 408 responses were collected from consumers who were aged 20-40 years and had viewed fashion video ads via PC/mobile channels in the preceding six months. The results showed that three advertising attributes, namely informativeness, entertainment, and personalization, were significant predictors of engagement. Additionally, engagement had a significant mediating effect on the relationship between entertainment and ad effectiveness. Moreover, both informativeness and entertainment had a significant direct effect on the behavioral intention to search and engage in e-WOM. At the high-curiosity level, engagement had a significant influence on ad attitudes and e-WOM intention. In contrast, at the low-curiosity level, entertainment had a significant influence on e-WOM intention and continuous intention to search. These findings are meaningful in that they extend the advertising attitude model to fashion video ads in the online context.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.503-514
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• 2002

• Korean Journal of Cognitive Science
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• v.26 no.3
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• pp.279-300
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• 2015

Present research was carried out on the level of exploration to verify that good luck increases probabilistic framing effect but bad luck decrease the effect. And we organized an experiment that designed experience of luck (good luck vs. bad luck vs. control) ${\times}$ probabilistic frame (high vs. low) and observed whether people response based on probabilistic frame or not. As a result, we observed the two-way interaction where experience of good luck increased probabilistic framing effect, while experience of bad luck decreased the effect (Figure 1). We expect to see more studies of contextual framing effect besides probabilistic frame (e.g., positive vs. negative; loss related to context vs. loss irrelevant to context).

• Journal of Distribution Science
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• v.11 no.5
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• pp.63-76
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• 2013

Purpose - For the past several decades, behavioral economics or behavioral decision theory has undergone rapid development. This study provides a critical review of the development of behavioral economics with a focus on what are deemed to be core theories in the field. Starting from the utility function proposed by Daniel Bernoulli in the 18th century, the development history of utility functions until the emergence of the prospect theory is thoroughly reviewed. Some of the experimental results violating the traditionally assumed utility function and supporting the prospect theory value function are summarized. The most representative principles of rational choice are transitivity, independence from irrelevant alternatives (IIA), and regularity. The development of behavioral economics has been triggered by finding counter-examples to these principles. Some of the choice behaviors discussed in this study as counter-examples to the traditional theories of rational choice are the St. Petersburg paradox; the Allais paradox; gambling behavior; and the various context effects including the similarity effect, attraction effect, and the compromise effect. The Elimination-by-Aspects (EBA) model, which was proposed as an explanation for the similarity effect, is discussed in detail as well. Based on the literature review and further analysis, this study summarizes the relationship between the context effects, prospect theory, and EBA model. Research design, data, and methodology - This study provides an extensive literature review on several important theories in the field of behavioral decision theory and adds some critical comments to the theories and the relationships among them. This study first reviews the development of utility functions. Daniel Bernoulli introduced the concept of utility function to solve the St. Petersburg paradox. In the mid-20th century, Herbert Simon proposed the "satisficing" heuristic and presented a value function with a shape different from traditional utility functions. This study highlights the strengths and weaknesses of several utility functions proposed until the emergence of the prospect theory value function. Results - This study posits that prospect theory and EBA model are the two most important theories in the field of behavioral decision theory. They can explain various choice behaviors that traditional utility maximization analysis has been unable to. The application of these models to various fields is further increasing nowadays. This study explains how prospect theory and the EBA model can be used to explain the context effects. Conclusions - The traditional economic theory relies on a single variable called "utility" in explaining consumer choice. However, this study argues that, in investigating consumer choice, several other variables should also be considered. These are the similarity among alternatives, an alternative's prototypicality within the category, the dominance relationship between alternatives, and the reference point in evaluating alternatives. Due to the development of behavioral economics, we are now closer to a more complete understanding of consumer choice behavior than in the past when we had only a single tool called utility.

• Journal of the Korean Society of Food Culture
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• v.20 no.5
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• pp.561-573
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• 2005

This research is to examine the structural relationships between transformational/transactional leadership, empowerment, relationship quality, and organizational commitment in Chinese restaurant context. In order to empirically investigate the proposed model, the data were collected from 188 respondents randomly selected from among the managers who work in 188 Chinese restaurants in Seoul and Kyonggi-do, which registered in Korean Food Central Association, korean foodservice management Association, Menupan.com We choose to limit our investigation to luxury Chinese restaurants where the average check is above 12,000 won. The survey was executed during two-week period in the autumn of 2004. The findings and discussion are as follows: First, intellectual stimulus behavior of transformational leadership had a positive effect on empowerment. Second, contingent reward leadership had a positive effect on empowerment. Third, empowerment had a positive effect on affective organizational commitment. Fourth, empower had a negative effect on continuous organizational commitment. Fifth, intellectural stimulus behavior of transformation leadership had a positive effect on affective organizational commitment indirectly and had a negative effect on continuous organizational commitment indirectly through mediating role of empowerment. Finally, contingent reward leadership had a positive effect on affective organizational commitment indirectly and had a negative effect on continuous organizational commitment indirectly through mediating role of empowerment. At the end of this paper, managerial implications, discussions, and limitations and future research directions are presented.

• Journal of KIISE
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• v.43 no.5
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• pp.531-540
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• 2016

Development of various sensors attached to mobile and wearable devices has led to increasing recognition of current context-based service to the user. In this study, we proposed a probabilistic model for recognizing user's food intake context, which can occur in a great variety of contexts. The model uses low-level sensor data from mobile and wrist-wearable devices that can be widely available in daily life. To cope with innate complexity and fuzziness in high-level activities like food intake, a context model represents the relevant contexts systematically based on 4 components of activity theory and 5 W's, and tree-structured Bayesian network recognizes the probabilistic state. To verify the proposed method, we collected 383 minutes of data from 4 people in a week and found that the proposed method outperforms the conventional machine learning methods in accuracy (93.21%). Also, we conducted a scenario-based test and investigated the effect contribution of individual components for recognition.