• Journal of Korea Trade
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• v.26 no.8
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• pp.1-20
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• 2022

Purpose - The paper aims to develop the theory of TAM and perceived risk through a more comprehensive and rigorous understanding of the influencing factors of the consumer's adoption of LG HomNet smart home from the perspective of trade-offs. Design/methodology - Based on the TAM and perceived risk theory, combined with the individual characteristics of consumers in the context of information technology as the external factors of the technology acceptance model, this paper constructs a theoretical model of the factors affecting the use intention of the consumer. It was empirically tested by using SEM, and survey data was collected from 458 respondents. Findings - The research results show that 9 hypotheses of the research model are supported and have reliable prediction accuracy. Consumers' perceived interest, perceived connectivity and perceived controllability have a significant positive impact on their intention to use. In addition, this paper also confirmed the mediating effect of perceived usefulness and perceived ease of use. Originality/value - Consumers are very concerned about gains and losses. Low-level performance risks, security risks, and financial risks will drive the consumer to have a stronger intention to use, and financial risks have the strongest impact. This research provides a useful implication and guidance for smart home equipment manufacturers and service providers in product and service innovation and marketing and promotion strategies.

• Fashion & Textile Research Journal
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• v.25 no.3
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• pp.304-314
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• 2023

The rapid development of digital technology is diversifying the fashion industry by influencing both the manufacturing processes and the characteristics of fashion products. Although various smart clothing technologies are being developed as part of the government's technology development policy, the number of smart clothing products available to consumers in stores remains very limited. To address this issue, this study analyzes the key attributes of smart clothing as expressed in consumer language. The CIT (Critical Incident Technique) research method was used, and data were collected through an online survey. The study focuses on identifying potential factors that may influence the development direction or strategy of smart clothing. By classifying past experiences and attitudes towards smart clothing into positive and negative categories, it was found that positive responses to smart clothing were heavily influenced by expectations from technology and convenience. Participants' experience with smart technology has had a positive impact on their evaluation of smart clothing. Consumers with negative attitudes towards smart clothing expressed expectations for new benefits resulting from technological development, and indicated that they would consider purchasing such clothing in the future when design and technology improve. Ultimately, this study provides a valuable reference for the development of smart clothing products in Korea by analyzing consumer experiences and acceptance conditions towards smart clothing.

• Journal of Broadcast Engineering
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• v.11 no.1 s.30
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• pp.130-137
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• 2006

In this paper. we introduce technologies that service multimedia contents (in brief, we call it UCA (Ubiquitous Contents Access)) to end consumer that have various communication terminal on communication & broadcasting convergence environment and propose system that this technologies are applied. Also, we analyzed relative advantage and playfulness of service technology that is looked in consumer side about proposed service technology. When analyzed relative advantage and playfulness in consumer's view point, proposed communication & broadcasting convergence service model could see that is worth service that consumer can prefer.

• Journal of Industrial Convergence
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• v.17 no.4
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• pp.59-67
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• 2019

This study examined the effects of corporate social responsibilities on company-consumer identification, Loyalty, purchase intention and trust. Questionnaires were distributed to 300 members of corporations. Of the returned questionnaires, 233 questionnaires were used for empirical study. Analysis of linear structural equation was used to test the model and the hypotheses. The overall adequacy was found to be allowable. Several important findings emerged from this research. First, corporate social responsibilities was related with company-consumer identification. Second, company-consumer identification had positive influences on purchase intention and trust. Third, trust was related with purchase intention. This study provides guidelines to help managers better understanding how to increase company-consumer identification, purchase intention and consumer's trust and make better decisions about procedures, outcomes and interactions for their consumers.

• International Journal of Human Ecology
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• v.4 no.1
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• pp.45-54
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• 2003

The purpose of this study was primarily to examine various variables influencing consumer purchasing behavior on perceived product quality, value toward product including brand loyalty, price, consumer's willingness to pay for the product, and their expenditure patterns in Korean apparel market. Factor analysis was used to evaluate the credibility of dependent variables, and T-test was used to compare the effect of brand label, country of origin, brand effect between Korean and U.S, and jacket price and quality on consumer characteristics. Discriminated analysis was used to find the effective variables influencing the two reference group differences when they evaluated Korean and U.S. labeled and non-labeled apparel products. Multiple Regression analysis was used to examine the effects of consumer characteristics on perceived quality, perceived value, perceived price, and their willingness to buy. The results of this study also provides useful information of consumer purchasing behavior on U.S. branded apparel which may or already launched the Korean fashion merchandizing market.

• Asia-Pacific Journal of Business
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• v.15 no.1
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• pp.45-69
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• 2024

Purpose - To examine the influence of mobile visual search as a strategic technology service on consumer perceived economic value and customer commitments, which in turn affect consumer's usage intention of mobile visual search. This study also explores the moderating effect of different levels of consumer online shopping orientation. Design/methodology/approach - One-by-one open-ended in-depth interview was first undertaken to 15 Korean consumers to figure the features of mobile visual search. Then a conceptual model was built to verify the hypotheses that indicate the impact of mobile visual search on consumer perceived economic value and customer commitment, which further influence consumer's usage intention. Findings - The results show Convenience, Information quality, Personalization, Text-free search interface design and Visual communication of mobile visual search positively influence consumer perceived economic value and customer commitment and in turn positively affect consumer's usage intention. Moreover, the different levels of consumer online shopping orientation also found to have different effects on consumers' perception and behavior of using mobile visual search in online fashion shopping. Research implications or Originality - The present study verified that mobile visual search is a service tool that consumers want to use in the online fashion shopping journey since it provides economic benefits.

• Journal of the Korean Applied Science and Technology
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• v.40 no.4
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• pp.825-842
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• 2023

This study conducted a survey to analyze the influence of the consumer-brand interaction and the consumer-brand relationship on motivation and satisfaction based on the perceived age of men and women in their teens and 50s who subscribe to cosmetic brands through SNS accounts. For statistical processing of the collected data, frequency analysis, factor analysis, reliability analysis, regression analysis, and multiple regression analysis were performed with SPSS 21.0. The perceived age of the subjects was classified into 'perceived lower group', 'perceived middle group', and 'perceived higher group' according to the difference between the age perceived by others and the age perceived by themselves. In the three groups, the consumer-brand interaction and the consumer-brand relationship showed a meaningful positive relationship with motivation, and the consumer-brand relationship was found to be a major variable explaining 'attractive' among motivation. In the three groups, the consumer-brand interaction and the consumer-brand relationship showed a significant positive relationship with satisfaction, and the consumer-brand relationship appeared as a major variable explaining satisfaction. Therefore, the conclusion of this study is that by perceived age group, the consumer-brand interaction and the consumer-brand relationship have a positive effect on motivation and satisfaction. In particular, it was found that the consumer-brand relationship is a major variable in cosmetics motivation and satisfaction. As this study empirically analyzes the influence of age perceived on SNS on cosmetics brand marketing, it is considered to be a practical implication for establishing cosmetics sales strategy and basic data that can be used for marketing.

• Journal of Information Technology Services
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• v.19 no.4
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• pp.49-61
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• 2020

Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.

• International Journal of Advanced Culture Technology
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• v.8 no.1
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• pp.13-18
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• 2020

Going shopping would be a very reasoned and well-planned activity, however, at the same time, it would not. People may go shopping just for fun and as their leisure. The motivations for going shopping and their experiences cannot be fully explained with the economic utility or the information-processing model. Thus, this study explored the hedonic aspect of the experiences of shopping as an alternative explanation to consumers' motivations of shopping and discussed retail advertising and marketing plans. An in-depth interview was conducted to obtain a better understanding about hedonic value, and it was found that hedonic value affects a consumer's shopping experience and that understanding consumers' motivations for shopping and establishing competitive advertising and marketing plans is important in drawing more consumers. Strategic implications for establishing further retail advertising and marketing plans obtained from the findings were also suggested.

• The Journal of Information Technology
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• v.2 no.1
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• pp.191-207
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• 1999

The study is in attempting for reviewing the selection problem of the measurement and the model, concerning a consumer satisfaction model. Therefore, a common model, which measures degree of consumer satisfaction by an arithmetic mean from measurement method including data, which assess compulsively the attribution and the importance to consumers, shows the problems of a field application. There showed a high predictive validity in the model of a singular item using the degree of a general satisfaction rather than a detailed assessment. However, the single model needs the model of consumer satisfaction from the using of plural items, because of the field problems that produce in an alternative application. There showed a high significance level in the model including variables, which are showing a high correlation between purchase intention and predictive validity.