• 대한예방의학회:학술대회논문집
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• 2004.10a
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• pp.68.2-69
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• 2004

• IE interfaces
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• v.25 no.2
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• pp.204-215
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• 2012

Recently, more and more firms are considering the adoption of RFID technology because it is expected to make process automation easier and has many different application areas. A review of existing studies about RFID adoption methodology shows that the most of the proposed methodologies are mainly based on economic evaluations. However, in the near future when the adoption and diffusion of RFID become major forces among business firms, it would surely have some limits to decide its adoption solely on the basis of economic considerations. In order for all the important strategic objectives to be considered during the major decision processes, it is necessary to make explicit what the decision makers really want to achieve from the RFID system. In this paper, we propose a general value model of RFID system which can provide an overall vision of all values RFID adoption may offer and a way to search and evaluate alternatives on the basis of these values. Especially, this model contains not only opportunities but also risks of RFID adoption so that a balanced consideration can be made. The model building process was essentially based on the 'value-focused thinking' approach proposed by R. Keeney. The proposed model is expected to provide insights about what to do in the process of introduction in order to maximize the potential benefits and minimize the negative risks. Referring to this value model, the important decisions would have greater chance to be based on a balanced consideration of opportunities and risks.

• Human Ecology Research
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• v.57 no.2
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• pp.171-183
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• 2019

Convergence between technology and financial services is ubiquitous and widespread. Virtual banks represent an important aspect of financial markets that can generate value added for consumers and enhance the quality of financial services. This study explores the effect of innovation characteristics (relative advantage, compatibility, and perceived risk), consumer characteristics (status quo bias), and social mechanisms (network externality: complementarity, numbers of peers) on consumers' adoption intention and resistance to virtual banks. This study adopted an innovation resistance model with two dependent variables: adoption intention and resistance to virtual banks. An online self-administered survey was conducted and 532 or non-users of virtual banks aged 20 to 69 years old were analyzed. Frequency analysis, descriptive analysis, and hierarchical multiple regression indicated that status quo bias, relative advantage, perceived risk, complementarity, and number of peers insignificantly influence the adoption intention regarding virtual banks. Furthermore, status quo bias, relative advantage, perceived risk, and number of peers insignificantly influence the resistance to virtual banks. Female respondents have a lower adoption intention and higher resistance to virtual banks than male respondents. The findings suggest that the innovation resistance model can be useful in understanding consumers'adoption and resistance behavior as well as reveal that innovation characteristics, consumer characteristics, and social mechanism are important antecedent variables of the innovation adoption decision.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2069-2085
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• 2021

A Social Networking Service (SNS) platform provides digital footprints to discover users' interests and track the social diffusion of product adoptions. How to identify a small set of seed users in a SNS who is potential to adopt a new promoting product with high probability, is a key question in social networks. Existing works approached this as a social influence maximization problem. However, these approaches relied heavily on text information for topic modeling and neglected the impact of seed users' relation in the model. To this end, in this paper, we first develop a general product adoption function integrating both users' interest and social influence, where the user interest model relies on historical user behavior and the seed users' evaluations without any text information. Accordingly, we formulate a product adoption maximization problem and prove NP-hardness of this problem. We then design an efficient algorithm to solve this problem. We further devise a method to automatically learn the parameter in the proposed adoption function from users' past behaviors. Finally, experimental results show the soundness of our proposed adoption decision function and the effectiveness of the proposed seed selection method for product adoption maximization.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.17-42
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• 2021

This study examines the adoption of subscription-based video on demand (SVOD) streaming services among consumers. Primarily, we explore the moderating effect of the two models of streaming services, standalone streaming services and bundled streaming services, on the users' adoption. We employ the Unified Theory of Acceptance and Use of Technology (UTAUT2) model in this study. We utilize the data collected from 337 Indian respondents and find that all constructs of the UTAUT2 model act as motivators of adoption. Gender, age, and experience of the respondent also play a moderating role in the adoption of streaming services. We also find that providing bundled streaming service positively moderates price-value and hedonic motivation of adoption. The study is perhaps the first of its kind that aims to understand the motivations for adoption of SVOD services, particularly in the Indian context, which has the fastest-growing base of internet users in the world.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.415-420
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• 2007

Diffusion of information and communication technologies is a global phenomenon. In spite of rapid globalization there are considerable differences between nations in terms of the adoption and usage of new technologies. Several studies exploring causal factors including national cultures of information and communication technology adoption have been carried out. The focus of this paper is slightly different from other studies in this area. Rather than concentrating on the individual information technology the cyber diplomacy is the focus. This research conducted an analysis of the impact national culture has on adoption of the cyber diplomacy and its components for 95 countries. The national cultural dimensions were identified using Hofstede's model of cultural differences. The research model and hypotheses were formed and tested using correlation and regression analysis. The findings indicate that worldwide cyber diplomacy adoption is related to national culture. The result has theoretical and practical implications.

• Korea Journal of Hospital Management
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• v.23 no.2
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• pp.42-53
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• 2018

Purpose: this study investigates the effect of private health insurance on healthcare utilization. Methodology: For the analysis, we employed the three level nested two part model. Findings: the private health insurance adoption was associated with higher health care utilization. In particular, indemnity and fixed insurances adoption was associated with higher probability of outpatient visit, the number of outpatient visit and outpatient cost. While indemnity insurance adoption was associated with higher inpatient admission probability and inpatient days, fixed insurance adoption was associated only with higher inpatient admission probability. Practical Implications: indemnity and fixed insurance adoption were related with the adverse selection as well as moral hazard.

• Journal of the Korean Operations Research and Management Science Society
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• v.38 no.3
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• pp.51-70
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• 2013

This paper develops a model to predict the adoption and level of usage of network technology in a two-level supply chain with buyer-supplier relationships. A firm's adoption of a new technology depends not only on its own beliefs of the new technology's costs and benefits, but also on the adoption decisions of other firms in the supply chain. A model first analyzes an individual supplier's decision about a new technology adoption considering with multiple suppliers and buyers. Individual suppliers' decisions are aggregated with a population model to project how new technology diffuses across the supply chain and examine the pattern of diffusion process. This study found that as more firms adopt in initial periods, the total amount of information to the potential adopters in the population increases, and then the number of firms persuaded by the information increases as the process moves up the distribution of adoption process. We consider three factors influencing the diffusion speed of the new technology in a supply chain network : mean benefits, cost sharing, and information provision. This study examines how such factors affect the reduction of threshold levels, which implies that reductions in threshold levels have an aggregate effect by accelerating the rate of adoption. In particular, we explore relationship factors available in practice in a buyer-supplier relationship and numerically examines how these relationship factors contribute to increase the diffusion speed of the technology in a two-level supply chain.

• Journal of Fashion Business
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• v.4 no.3
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• pp.103-114
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• 2000

The purpose of this study was to test the discriminant analysis model of Quick Response system and to examine the detailed relationship between each discriminant factor and Quick Response adoption. In this discriminant analysis model of Quick Response system, firm size, strategic type, product category, fashion trend, selling time and the Quick Response benefits were included as discriminant factors. Onehundred and two subjects were randomly selected for the survey study and discriminant analysis, descriptive analysis, t-test, and x square test were used for the data analysis. The results of this study were: 1. Wilks Lambda and F value support the discriminant analysis model that, taken together firm size, strategic type, product category, fashion trend, selling time and the Quick Response benefits significantly help to explain Quick Response adoption. 2. The importance of discriminant ability was, in order, firm size, the Quick Response benefits, women's wear, fashion trend, analyzer, selling time, reactor, defender and men's wear. 3. The discriminant function had the high hit ratio, so this can be well used for the classification of Quick Response adoption/nonadoption.

• Journal of Information Technology Applications and Management
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• v.19 no.2
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• pp.17-38
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• 2012

The purpose of this study is to investigate the research model attempting to explain factors influencing consumers' attitude towards Smartphone adoption and behavioral intention to use a Smartphone. The 357 sets of data are tested against the model using SEM (structural equation model). The research results reveal that organizational and social influences, consumers' self-actualization, and trust affect consumers' attitude towards Smartphone adoption, and behavioral control influences behavioral intention. Implications of the findings suggest that Smartphone should be approached with a holistic view, suggesting that Smartphone research should emphasize Smartphone as a convergent device including both hardware and software with services and applications. Research results are discussed, and limitations of the current study and future research are presented.