• Asia pacific journal of information systems
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• v.14 no.3
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• pp.145-167
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• 2004

Given the increasing of adoption of the SCM(Supply Chain Management), especially in small and medium-sized enterprises, this study aims at identifying the key influencing factors of small and medium-sized enterprises' SCM adoption. Based on prior research on innovation diffusion theory, TPB(Theory of Planned Behavior), and IT/EDI adoption in various organizations, a model of SCM adoption has been developed and empirically tested hypotheses based on the model. The model was tested using LISREL analysis on the sample collected from 127 small and medium-sized enterprises' top management. The results show that perceived behavioral control is found to have a significant positive effect on adoption intention, and attitude and subjective norm are also important determinants of SCM adoption intention in small and medium-sized enterprises. Implications of these findings are discussed for researchers and practitioners.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.18-37
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• 2016

Cloud computing is an upcoming technology and emerging concept in the field of information technologies. Companies have begun to invest in cloud computing with the expectation that it will improve their business performances, operations, and processes. However, many companies are not so much aware of the cloud computing, so they can hesitate to adopt this new technology. The aims of the study are analyzing factors affecting the adoption of cloud computing and applying structural equation modeling technique to analyze the important dimensions of the adoption. Concordantly, previous studies are examined and expert interviews are arranged. Based on both our literature review and expert interviews, a model is proposed to measure the adoption of cloud computing. It is obvious that there are scarce researches about cloud computing adoption in the literature. Thus, the originality of the paper lies on that it proposes a research model for cloud computing adoption and it investigates various dimensions of cloud computing adoption in detail.

• Journal of Information Technology Applications and Management
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• v.10 no.1
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• pp.47-59
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• 2003

This study analyses the level of resistance which workers have against the adoption of ERP systems and the factors affecting the resistance to the adoption of the new systems. The major results of the study include 1) about 40% of workers showed resistance to the adoption of ERP systems, and 2) all six factors (technical characteristics of ERP system, functional characteristics of ERP system, implementation approach, task changes caused by the adoption of ERP system, attitude toward change, and altitude toward organization) were proved to affect the resistance to the adoption of the ERP systems. In practice, adoption of ERP system brings significant changes to workers. In order for an organization to succeed, it is necessary to reduce the resistance of workers. Since this study is performed based on a case study, the results of the study may not be generalized. However, the results of the study may provide guidance which organizations can refer in the course of effective personnel management.

• Asia pacific journal of information systems
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• v.9 no.4
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• pp.125-142
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• 1999

The increased investment in technological innovations makes the investigation of factors affecting technology adoption more interesting. Several perspectives have been proposed to explain the determinants of information technology adoption. While the traditional innovation diffusion research streams try to explain and predict adoption behavior with the adopter's perceptions about the characteristics of the innovation itself, critical mass theorists argue that adoption behavior as a collective action is based on what their business partners are doing and whether there exists enough critical mass to justify the investment. Drawing on theses two perspectives, this study investigates the decision criteria in the adoption of information technology as innovation and factors affecting the decision criteria. The survey results reveal that the adoption behavior is affected both by innovation characteristics and by critical mass's activity. Correlation analysis, t-test, and stepwise regression models also show that as the environmental uncertainty is getting higher, adoption decision is affected more by what others are doing, and that highly competitive organizations seem to play the role of critical mass.

• Journal of Korean Academy of Nursing
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• v.16 no.3
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• pp.11-21
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• 1986

The purposes of this study were to clarify whether the health belief model could explain the women's adoption of sterilization and to find the factors which influence the adoption of sterilization. To achieve these purpose, 35 women, who visited the family planning hospital to undergo an surgical operation for sterilization, were selected and named the group of adoption. Also, 36 women, who have the same demographic characteristics as the group of adoption, and have no sterilization among the married women, were selected and named the group of non-adoption. The measuring instruments used in this study were made by the researchers on the basis of the results of the review of the related literatures. The validity of these instruments was examined by one professor majoring in nursing and two family plmanning practioners. The reliability was proven by calculation of Cronbach's α with data of the group of adoption. The data was analyzed by t-test, X²-test, and ANOVA using Computer SAS system. The results were following: 1. Health belief model could be said to explain whether women accept the sterilization or not, because the degrees of susceptibility and severity for future pregnancy and the degree of benefit or adoption of sterilization in the group of ad-option are higher than those of the group of non-adoption. 2. Influence of demographic variables on health belief variables was as follows. With advancing ages, degree of susceptibility increased in the group of adoption, and the higher the number of artificial abortion increased, the higher degree of barrier increased in the group of non-adoption. Suggestions for further studies and application to the nursing practice are as follows 1. If one wants to educate the non-adoption women, one would be better to give such information as to increase the perception of susceptibility, severity and benefit. 2. New instrument to measure the perceived barrier which includes such items as fear on well-ness of the existing children, objection of husband and postoperative complication, is needed. 3. A study to find the change of perception on health belief variables is needed, after education to increase the level of perceived susceptibility and severity on the future pregnancy, and benefit on sterilization is given.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.357-365
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• 2008

The Korean Government is enforcing policies to activate domestic adoption in order to guarantee and protect stable family lives of children requiring protection. We surveyed recognitions and attitudes toward adoption and adoption policies of Daejeon citizens. The result will be important information for activating domestic adoption. We could find that motives of adoption centered on adopted children rather than adoptive parents. Especially, the recognition level toward open adoption is high, which shows that the domestic adoption can be activated if multiple political supports are provided for adopted children and adoptive families.

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.695-704
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• 2012

Objective: The purpose of this study was to investigate major factors influencing adoption of smartphone to promote its use by older adults. Background: Despite increasing proportion of elderly people and elderly market, the proportion of elderly smartphone user is still relatively small compared to whole smartphone users. Thus, we need to find out major factors influencing adoption of smartphone to increase proportion of elderly smartphone users. Method: Seven major factors were extracted from 36 survey questions using factor analysis. Regression analysis was also applied to determine specific factors affecting intention of use based on user versus non-user of smartphone, age, gender, and educational background. Results: As results of factor analysis and regression analysis, major factors influencing adoption of smartphone for elderly users were significantly different according to gender, age, educational background based on smartphone users or non-users. Conclusion: The result of this study identified major factors influencing adoption of smartphone for the elderly and provided basic information related to adoption of smartphone according to elderly people's characteristics. Consequently, we can expect to reduce the information gap and to improve quality of life for the elderly. Application: The development and marketing strategy could be applied differently based on the factors influencing adoption of smartphone. It is also possible to develop a prediction model for smartphone adoption according to elderly users' characteristics.

• Journal of Fashion Business
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• v.4 no.2
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• pp.113-126
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• 2000

The purpose of the study was to investigate the level of latest fashion adoption of men's wear manufacturers and differences in the level of fashion adoption according to characteristics of brands and merchandise. Thus, this study was to be an exploratory study to examine the trends in fashion adoption of men's wear manufacturers. The questionnaire consisted of questions on 7 elements of fashion adoption and characteristics of men's wear manufacturers and their merchandise. The subjects were to evaluate their level of fashion adoption and rated on 5 point Likert-type scales of 7 elements. For the survey, the subjects were 100 employees (62 merchandisers, and 24 designers, etc.) who are employed by men’s wear manufacturers which have national brands, designer brands, license brands, import brands or private brands. The SAS PC+ package was used to calculate factor analysis, mean, t-test, ANOVA, Duncan's test, and Tukey's test. The results from the study were as follows: 1) The elements of fashion adoption of men's wear manufacturers were divided into 4 factors (clolr/fabric, silhouette/fashion image, detail/item coordination, accessories) which explained 83.61% of the whole of factors. 2) The highest score of mean of fashion adoption factors was fabric/color, but the lowest was accessory factor. 3) There were significant positive correlations between fashion adoption factors except between fabric/color and accessories. 4) There were significant differences in the level of fashion adoption according to types of brands and ages of target consumers. 5) There were significant differences in the level of fashion adoption according to the categories of apparel (suits vs. casual clothing) and types of suits and casual wear.

• Journal of Internet Computing and Services
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• v.17 no.4
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• pp.173-180
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• 2016

SOA has been adopted by enormous number of organizations world-wide. This study has investigated significant factors which affect SOA adoption in positive and negative manner. Unlike the previous similar studies, where they focused on qualitative analysis for SOA adoption, this study conducted a quantitative analysis to investigate the relationship between the adoption of SOA and the performance of IT organizations. In order to conduct the research, an online questionnaire was created and distributed among SOA experts through the social networking platform of professionals, LinkedIn. Total one hundred and four (104) respondents from thirty (30) different countries participated in this study. The results of this study indicate that there are both positive and negative influences upon SOA adoption. The positive influences includes: governance, strategy, culture and communication, business and IT alignment and ROI; whereas complexity, security concerns, and costs have negatively affected SOA adoption.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.17-22
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• 2008

The emergence of open source software (OSS) with its successful projects and its most prominent advantages creates a vast interest among academics and practitioners. However, it has been found that focusing on the developments of OSS to be successful is not adequate and the adoption of OSS by uses is also very important. Although there are a great number of useful and easy to use OSS has been developed, the adoption of OSS and usage in the market is very low. Based on the technology equity implementation model (EIM), this study examines user resistance in the adoption of OSS (i.e., switching from the current system to OSS). A survey has done regarding the adoption of Linux as the case of study. We have found that user resistance to change has negative effect on adoption intention, and switching benefits, switching costs and perceived value have significant relationships with user resistance to change.