• Korea Journal of Hospital Management
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• v.15 no.4
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• pp.27-42
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• 2010

The purpose of this study is to investigate the intention to utilize u-healthcare services in Korea. Specifically, this study attempted to identify the relationships among the intention to use u-healthcare, consumer's demographic characteristics, and personal information technology level. We conducted telephone interview and collected data from 406 householders 20 years old or older. The results showed significant differences in use intention of u-healthcare service by innovation, gender, and their interaction term. Residence area and average time of internet use had significant effect on the use intention of u-healthcare service. Also, the interaction term between innovation and education level had a significant effect on use intention. Based on the results we concluded that the consumer's characteristics and information technology level had a significant effect on the use intention of u-healthcare service.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.356-365
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• 2013

As a form of reciprocity or exchange, gift giving is one of the processes that integrate a society. There has been a long history of research on gift giving behavior in the communication area. Recently with the advent of digital environment, digital contents gift giving behavior became a prevalent social custom. But there has been little research of an individual consumer's consumption behavior of digital contents gift giving. Drawing on the innovation theory, technology acceptance model, and gift giving literature, the author take a quantitative approach to the effect of innovation attributes on mobile coupon gift giving behavior. The result showed that innovation attribute did positive influence to mobile coupon gift giving behavior. Furthermore, consumer innovation attribute moderate in the relationship between product innovation and mobile gift giving attitude.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.1
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• pp.89-104
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• 2017

This Study is to Explain the Reason of Stagnation of Technological Innovation for Digitalized Products in Competitive Market by Using the Concept of Consumer's Technical Appreciation Ability and by Employing Evolutionary Game Theory. In this Study, Consumer's Behaviors are Divided into Two Areas (Areas I and II). In Area I, Both Firms and Consumers Instinctively Welcome the Technological Innovation of Digitalized Products so that their Technological Skills are Likely to Advance Rapidly in a Short Time. On the Other Hand, in Area II, Consumers Feel Uncomfortable in the Usage of Advanced Digitalized Products so that they are Likely to Choose Digitalized Products Under Optimized Technology Condition. In other Words, Consumers want to the Old Models with Already Optimized Technology Rather than a Bland New Model. This Situation Allows Managers to make a Bland New Model Similar to a Earlier Model in many ways. Therefore, the Innovation of Digitalized Products may be Stagnated.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.159-172
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• 2023

This study aims to empirically investigate the relative effects of business-to-business (vs. business-to-consumer) business model innovation (BMI) on innovation performance. The research examines the impact of three key components of BMI: 1. value creation, 2. value proposition, and 3. value capture, on innovation performance. The 2022 Entrepreneurship Survey data by the Korean Entrepreneurship Foundation was used to analyze 2,879 companies. An exploratory data analysis (EDA) including various categories such as industry, firm, CEO, and technology chracteristics was conducted to show the latest startup status in Korea. The results show that value creation of B2B (vs. B2C) firms has a more positive and significant impact on innovation performance. Whereas, value proposition of B2C (vs. B2B) firms was found to have a more positive and significant effect on innovation performance. Interestingly, value capture did not show any effects for either type of firms. Additionally, the study employed seemingly unrelated regression (SUR) analysis for robustness checks. These findings provide important insights about the relative effects of B2B-BMI (vs. B2C-BMI).

• Korean Management Science Review
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• v.25 no.1
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• pp.169-191
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• 2008

In this paper, we examined the difference of the effects of buying factors in two consumer segments divided by the innovative behavior for digital convergence products, and developed relevant managerial implications. As the digital convergence product could be understood as a innovative bundling product, the buying factors of the digital convergence products were clustered in 3 groups : common innovation-bundling factors, innovation factors and bundling factors. Tests for the difference of regression coefficients of the purchasing factors in the two markets show that (1) the early market is affected by both of the common innovation-bundling factors and the innovation factors, while the mainstream market is affected by all of the common innovation-bundling factors. the innovation factors and the bundling factors, (2) the early market is more affected by the technical benefit, while the mainstream market is more affected by the pragmatic benefit, and (3) both of the two markets are affected by the compatibility and the message communicability. The relevant managerial implications for the successive diffusion of the digital convergence products can include (1) in the entire period of the diffusion. enhancing the compatibility between consumer and product concept, performing constant and differentiated marketing communication activities, (2) in the early market of the diffusion, introducing unique innovative product which provides obvious and differential synergy through the convergence, appealing to the technical benefit, and (3) in the mainstream market of the diffusion, improving the qualities and features of individual products for the digital convergence product, appealing to the pragmatic benefit, reducing the complexity of product.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.264-297
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• 2006

In this paper, we attempt to analyze consumer preference for the alternative-fuel vehicles based on data from a stated preference using the conjoint analysis. Five possible fuel types (gasoline, diesel, CNG, LPG, Hybrid (electricity+gasoline)) are covered in conjoint cards. To estimate and analyze consumer preference, discrete choice model is used. Specifically, Bayesian mixed logit model is used. Based on estimating results, we discuss the business strategy and policy for the alternative fuel vehicle.

• Journal of Korea Port Economic Association
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• v.35 no.4
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• pp.121-146
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• 2019

This study investigates the innovation resistance when blockchain technology is introduced for the shipping and port industry. For the development of a research model with suitable measures, we review and focus on innovation resistance factors with the blockchain technology derived from previous studies. In this research, we consider four factors (innovation characteristics, consumer characteristics, environmental characteristics, and cost characteristics) with innovation resistance as dependent variables. The innovation characteristics include relative benefits, complexity, and perceived risk. The consumer characteristics consider attitude toward existing products, innovation, and self-efficacy. Social impact variables are environmental characteristics and rationality of cost. In the statistical analysis, we set up eight hypotheses to test the significances between variables and find the following four empirical results. First, the relative advantage and the perceived risk have a significant effect on innovation characteristic, but the complexity of this characteristic has no significant effect on innovation resistance. Second, the rationality of cost has no significant effect on innovation resistance. Third, the attitude toward existing products has a positive effect and the innovation of the consumer characteristic has a negative effect on innovation resistance, while the self-efficacy has no significant effect. Finally, the social impact has a significant effect on innovation resistance to blockchain in the shipping and port industry.

• Journal of Distribution Science
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• v.18 no.6
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• pp.93-101
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• 2020

Purpose: While crowdfunding functions as a purchasing behavior, it is different from other purchasing behavior. It derives from non-existed idea and leads to production and purchase through continuous idea development with participants and participants' support is a proxy for future sales. This study researches on consumption value, customer's trust and consumer's innovativeness to reveal which constructs of consumption value and customer's trust should be considered. Research design, data, and methodology: Crowdfunding participation intentions were examined using consumer's consumption value and trust of platforms as independent variables, and consumer innovation as a control variable. A total of 175 surveys were used for analysis. The hypothesis was tested using hierarchical regression analysis. Results: The results showed economic, epistemic value and ability, benevolence consumer trust to have a significant effect in crowdfunding participation intentions. The moderating effect of innovation was shown to be significant in only economic value and benevolence. Conclusions: The economic and hedonic value of consumers should be emphasized, as well as the evaluation level of the project itself. Moreover, technology or system safety, competency, and product specific information, as well as user benefits for their ideas are core elements in attracting new participants.

• Human Ecology Research
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• v.59 no.1
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• pp.23-43
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• 2021

This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.51-58
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• 2023

The purpose of this study is to identify various variables that affect the intention to use the metaverse, which has recently attracted attention. In particular, while previous studies have focused only on the variables that have a positive effect on the spread of the metaverse, this study tried to examine both the use and resistance perspectives by examining the psychological variables of consumers who reject specific changes, such as innovation resistance. By constructing consumer characteristics and innovation characteristic variables that affect innovation diffusion, the relationship between innovation resistance, attitude toward the metaverse, and intention to use the metaverse was examined. As a result of the study, it was found that innovation propensity, social image, and conformity had a negative effect on resistance to the metaverse. In addition, innovation propensity, social image, suitability, relative advantage, complexity, and observability mediate innovation resistance and attitudes toward the metaverse, and were finally revealed as variables that have positive or negative influences on the intention to use the metaverse.