• 한국IT서비스학회:학술대회논문집
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• 2008.11a
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• pp.153-156
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• 2008

In recent years, IPTV attracts great attention along with the digital convergence of communication and media technologies. IPTV combines the advantages of TV and Internet and changes our lifestyle dramatically. In addition, the IPTV service is capable of becoming a new business model which has huge growth potentials in technology-converging marketplaces. This study examines critical factors on the consumer's adoption of the IPTV service. Based on the Innovation Diffusion Theory (IDT), IPTV specific attributes and personal characteristics, we derive eight key factors in the research model. compatibility, ease of use, image, diversity of contents, interactivity, monetary value, social influence, and user satisfaction. Using the partial least square (PLS) method on the data collected through a web-based survey, we test our research model with several hypotheses. From this study, we find that diversity of contents, compatibility and interactivity have a significant indirect effect on the use of IPTV service via user satisfaction, and user satisfaction and social influence also have a significant direct impact on the IPTV use. These findings not only provide practical insights on the consumer acceptance of new technology-converging services, but also help managers to plan their marketing strategies better.

• The Journal of the Convergence on Culture Technology
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• v.6 no.1
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• pp.289-299
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• 2020

The wearables market has fast grown, demanding a more consumer-centric academic attention. The current research explores the moderations of consumer individual characteristics (i.e., age, need for cognition, involvement) in the dynamics of perceived psychological benefits of wearables adoption (i.e., perceived usefulness, perceived ease of use) towards perceived product quality. the results indicate a strong positive influence of both the perceived usefulness and ease of use on perceived quality. however, the predicted moderations of age, need for congitiion, and involvement were partially supported.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.6
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• pp.287-295
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• 2022

With the dramatic increase in mobile usage, more and more businesses see the potential of m-commerce. This study focuses on a subcategory of m-commerce, a mobile shopping application. To understand the purchase intention via m-commerce applications, this study is aimed to identify the main factors that are related to the applications and explore the influence of these factors on consumers' mobile shopping intention. This study uses quantitative research methods and selects Vietnam as its case study. The survey responses of 450 Vietnamese mobile shoppers were analyzed using partial least squares structural equation modeling (PLS-SEM). The results indicated that online reviews, e-service quality, and information quality are significant predictors of behavior intention, and perceived risk negatively influences consumer online purchase intention via the applications. The content enriches the combined research of detailed and possible models with quality dimensions and risk perception. Practitioners such as e-retailers and developers can enhance the quality of applications and determine strategies to reach potential users and maximize revenue. M-commerce providers should pay adequate attention to credible and influential online reviews since mobile shoppers heavily rely on reading reviews before buying a product.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.153-162
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• 2022

Nostalgia advertising is one of the key and effective tools for marketers to capture the attention of consumers. Prior studies have identified two types of nostalgia, personal and historical. The aim of this research is to learn more about historical nostalgia and its influence on consumer brand purchase intentions. A convenience sampling technique was used to obtain a sample of 182 respondents via Google forms. The study then used partial least square structural equation modeling. In PLS-SEM, we applied a measurement model to obtain the results related to reliability, validity, and model fitness. Once the desired results are achieved, the study proceeded to the structural model where results related to hypotheses were obtained. The study's findings corroborated the literature, revealing that historical nostalgia advertisements have a significant impact on consumers' cognition and emotions, leading to an effect on attitudes. The serial process has the effect of influencing consumer buying intentions. Hence, the importance of nostalgia advertising proposed in the study was established through empirical evidence. Policymakers, organizations, and advertising agencies in Pakistan are recommended to implement nostalgia advertising techniques based on the findings and are encouraged to do so for immediate benefits.

• Asia Marketing Journal
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• v.20 no.3
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• pp.39-62
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• 2018

Despite the abundance of research on alcoholic-beverage consumption in the food and beverage marketing literature, research directly assessing and comparing consumers' psychological motives for drinking different types of alcoholic beverages is relatively limited. There is also a paucity of research comparing drink-type specific consumption motivations in an Asian market. Paying attention to some recent new changes in the alcoholic-beverages market of South Korea, this study investigated South Korean young adult female consumers' alcoholic-beverage type-specific drinking motives. A self-administered online survey of 340 young adult female drinkers about their alcohol-consumption patterns, alcoholic-drink preferences, involvement with alcohol, and four types of drinking motives (coping, social, conformity, and enhancement motives) revealed differences in: (1) the association between the consumer's alcohol involvement level, alcohol consumption frequency/amount, and preferences for alcoholic beverages across different types of alcoholic drinks; (2) the underlying psychological motives for drinking different types of alcoholic beverages; (3) the association between consumption contexts and alcoholic drink types; and (4) the consumption patterns and drinking motives across different consumer groups that are segmented in terms of their most preferred type of alcoholic beverages. These findings point to the importance of investigating drink-type-specific consumption motivations in alcoholic-beverage consumption research. Limitations and implications for future research are also discussed.

• Asia Marketing Journal
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• v.14 no.1
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• pp.159-174
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• 2012

This study investigate the role of consumer's perception of quality in new technology adoption process in China which is given little attention in the field of Information System and Communication Technology. Here, we developed a simple model in the level of consumer perception by exploring the antecedent of perceived quality. Three factors are introduced as determinants of perceived quality: perceived usefulness, perceived risk and trialability. An empirical study is conducted with analysis of the adoption mechanism of a new innovative product. Data analysis results support some of our proposed hypotheses. It indicates that perceived quality is positively related to the adoption intention and fully mediates the relationship between triablility and purchase intention. And we conclude that a product's perceived quality plays an important role in adoption intention. And what makes Chinese customers perceive product's quality good is a trialability of a product. This suggests that when market managers plan to launch products in China, they need to craft an effective strategy based on the market system of the consumer especially understanding the consumers' critical factor for adopting a new product. Chinese are more interested to purchase a product with free trial and free experiential period, therefore, suggesting an advertisement highlighting the trialability of a product is possible in China.

• Asia pacific journal of information systems
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• v.31 no.2
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• pp.236-256
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• 2021

Online financial technology products are an important consumer finance innovation. While a large body of previous research has focused on initial adoption and consumer willingness to use these products, little research explores the continued use of these products beyond the initial adoption phase. In particular, special attention should be paid to how users' trust and perceptions of privacy and security affect continued use behavior. This paper integrates the expectation confirmation model of information system continuance (ECM-ISC), the information system success model (ISSM) and the security and trust literatures to investigate continued use of online financial technology. To test the research model, we collected 398 valid questionnaires from Ant Credit Pay users. The research results show that system and service quality positively impact users' expectation confirmation, while information quality has no significant impact. Expectation confirmation and perceived usefulness positively affect user satisfaction. Moreover, the user's perception of privacy and security plays a vital role in user satisfaction. Satisfaction and perceived trust jointly promote users' continuance behaviors. Findings of this study indicates the importance of the information system success factors and security factors due to their influence on the continued use of Fintech products. This conclusion has implications for enterprises in improving the product qualities and enhancing the degree of security to meet user needs.

• The Research Journal of the Costume Culture
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• v.22 no.2
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• pp.346-359
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• 2014

Black Friday, a biggest holiday shopping season in the United States, has been regarded as a great opportunity that fashion retailers can dramatically increase their sales. However, there has been a lack of attention to consumers' shopping experiences on Black Friday from the consumer perspectives. The objective of this study is to explore consumer shopping experiences on Black Friday, in terms of consumer responses toward the experiences, shopping values, and any possible factors influencing the experiences. The method of critical incident technique was used with 198 critical incidents extracted from 165 responses of university students in the United States. As results, the shopping experiences on Black Friday were categorized into positive vs. negative shopping experiences. After that, the positive and negative experiences were respectively divided into two common themes: utilitarian shopping value vs. hedonic shopping value. In addition to the common themes, 12 categories were also emerged. Among positive experiences, utilitarian shopping experiences includes two categories of off-price shopping and shopping for expensive products, whereas hedonic shopping experiences includes three categories of impulse buying, holiday atmosphere, and shopping for the latest or luxury brand products. Among negative experiences, utilitarian shopping experiences includes four categories of modest discounts, out of stock, time-consuming queues, and fatigue of holiday shopping, while hedonic shopping experiences includes three categories of crowded environments, compulsive buying, and poorly managed stores. In conclusion, it is notable that consumer can undergo negative as well as positive shopping experiences on Black Friday. Implications and suggestions are also discussed.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.8
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• pp.399-408
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• 2016

As entering the Big Data age, utilization of Big Data is also increasing in the intellectual property sector. Meanwhile, the purpose of a trademark which distinguishes the source of the goods essentially is to enable the public to recognize the goods. Big Data technologies which is recently becoming a issue can be used as a tool to judge consumer's awareness of the trademark. It was difficult for judgment of trademark awareness through traditional ways. As a new way, survey methodology has bee received attention, and it was applied to the field of trademark law. However, various problems such as cost, time, objectivity, and fairness were observed. In order to overcome theses limitations, this study proposes new way utilizing big data analytics for judgment on consumer's awareness of the trademark. This new way will not only contribute to enhancing the objectivity of judging trademark awareness but also utilized to support for related legal judgments.

• International Journal of Reliability and Applications
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• v.7 no.1
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• pp.71-77
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• 2006

The market for second hand products has been growing for a variety of reasons (e.g., new products appearing at a faster rate and the expected life of products increasing due to rapid advances in technology). The demand for warranties for second-hand products has been growing along with the growth of the market for second-hand products. Warranty for new products (consumer durables, industrial and commercial, and specialized defense products) has received a lot of attention. In contrast, warranties for second-hand product have received very little attention. Often, dealers of second-hand product such as cars offer 2D-warranties (Year and Kilometers). The expected warranty cost associated with a second-hand product for 2D-Policies is a function of the age of the item and its usage (as it affects failures over the warranty period), the warranty terms and the servicing strategy used by the dealer. This paper deals with development of models for warranty cost analysis along with the decision on sale price and warranty cover for 2D-Warranty policies associated with sale of second-hand products.