• Management & Information Systems Review
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• v.1
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• pp.41-73
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• 1997

Responses from the information users on the information technology are very important considerations when majority of the companies are going to introduce information technology by way of computers. When new information technology is introduced, resistance from the information users are likely to be happen and if suitable management about this is not carried out, resistance from the users of information technology will be continued. It is needed for the companies to minimize user's resistance about the information technology to reduce the introduction cost of information technology and to elevate the degree of use. To reduce the resistance from the users about information technology, factors which affect the resistance of users should be analyzed first and it will be effective to control those factors later on. Therefore it will be meaningful for the successful management of information technology if several factors which affect the resistance of users about information technology are searched out and managed. The purpose of this study is to find various factors which affect the resistance of the individuals in the organization about information technology in the process of introducing information technology. The relationship between the factors and factors which affect indirectly to the information technology are the things which are supposed to be considered to the companies who are going to introduce information technology in the long run. Instead of decreasing the resistance directly, let individuals in the organization decreases the resistance by themselves is a more effective way and may have less side effects, in terms of controlling the members in the organization.

• Asian Journal of Business Environment
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• v.3 no.1
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• pp.29-35
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• 2013

Purpose - objective of this research is to investigate individual, organizational and environmental factors influence tacit knowledge sharing among healthcare professionals. The transmission of Tacit Knowledge is crucial for organizations to ensure that TK will be passed throughout organization, rather than stored in single employee. Research design, data, and methodology - In this study investigate organizational, individual and environmental factors that influence on TK sharing. To test hypothesizes, the survey method was chosen. Sample size was 100 but 74% of questioners returned. Results - The main findings of this research are related to influence of personal, social cultural and behavioral factors on tacit knowledge sharing. According to extracted data all factors have influence on tacit knowledge sharing except Emotional stability that was found to be negatively related to tacit knowledge sharing. That may means anxiety and stress level of workplace applies negative enhance on tacit knowledge sharing. And finally results show that social environment, team oriented culture and organizational commitment have strongest influences on tacit knowledge sharing. Conclusion - the findings of this study shows that personal, social cultural and behavioral factors influence on tacit knowledge sharing. And also indicates that, social and organizational factors enhance strongly on tacit knowledge sharing.

• International Commerce and Information Review
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• v.10 no.2
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• pp.141-164
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• 2008

This study aims to come up with the elements that have influence on the outcomes of technology transfer in a multi-divisional way by making analysis of the interactive relations among technology transfer factor, technology transfer procedure factors, and technology transfer outcome factors through the Structural Equation Model(SEM). And the sample companies are restricted to the ones that have the records of technology transfer to China for the past five years For research model, technology success factor model of Choi and Lee (2000) and technology receptive capability and technology transfer outcome model of Lin, Tan and Chang(2002) were adopted. The research model was divided into an external variable, technology transfer factors and an internal variables, technology transfer procedure factors and technology transfer outcome factors. Research hypothesis was divided into technology transfer factors and technology transfer procedure factors; and technology transfer outcomes. As a result of analysis, cultural difference associated with technology transfer, technological type, corporate capability, and mutual trust have an effect on the outcomes of technology transfer.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.4
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• pp.71-90
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• 2011

This study aims to examine how LIS curriculum affects the undergraduate students' intention to information technology acceptance using Technology Acceptance Model(TAM). For this purpose, it was analyzed differences in factors of information technology acceptance (1) between LIS students and non-LIS students and (2) between LIS junior students and LIS senior students in heterogeneous information technology environments. The results are as follows; There is difference in IT acceptance factor(Subjective Norm variables) between LIS students and non-LIS students. There was no great difference in factors on information technology acceptance between LIS junior students and non-LIS students. LIS senior students show great difference in path coefficient with LIS junior students.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1362-1365
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• 2008

ED-2523 (Measuring methods for matr ix reflective LCD modules) was published by JEITA (Japan Electronics and Information Technology Industries Association) in 2001. Since then, round robin tests had been done and the accuracy of measurement values had been discussed. In this paper, considerations for error factors in four measurement systems are showed.

• Knowledge Management Research
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• v.6 no.2
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• pp.47-68
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• 2005

The Purpose of this study is to identify relationships between knowledge management performances and such Influence factors of knowledge Management as information technology, knowledge management process, culture & people, strategy & Leadership in Small and Medium-sized Enterprises. In order to test hypotheses, we collected data from 498 SME's employees, then analysed them by SPSSWIN. This results showed as follows; 1. All Influence factors of knowledge Management( information technology, knowledge management process, culture & people, strategy & Leadership) are to advance individual task effectiveness and organization effectiveness significantly. 2. Such Influence factors of knowledge Management as information technology, knowledge management process, culture & people are to improve business efficiency between the company. But strategy & leadership factor is not significant. 3. Influence factors of knowledge Management are different between knowledge performace factors such ac individual task effectiveness, organization effectiveness, and business efficiency between company.

• Asia pacific journal of information systems
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• v.15 no.1
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• pp.81-113
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• 2005

IT has affected the hospital management via information systems and multimedia systems such as hospital information systems(HIS) and Order Communication System(OCS). A large number of researches have been done on the topic of success factors of information systems implementation, but a few on the topics of hospital information systems. Thus in this study, the success factors of the military hospital information systems implementation was analysed. To this end, a number of previous researches were reviewed and about 71 items of success factors were deduced. For doing empirical analysis, a questionnaire with 71 items was prepared and sent to proper organizations. The statistical analysis such as factor analysis was applied to about 400 of them returned. The six success factors and 20 sub success factors were resulted from factor analysis. The six success factors include systems management factor, technology and organization factor, the efficiency of IT department factor, technology application factor, outsourcing factor and environment factors. This study finds the outsourcing and environment factors are very important factors as much as other success factors which previously were mentioned.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3960-3975
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• 2022

To analyze and compare the most influencing factors on cloud computing adoption (CCA) in the healthcare organization, a systematic review and meta-analyses of studies was performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Cochrane collaboration recommendations. A search of PubMed, ScienceDirect, Springer, Wiley Online, and Taylor & Francis Online digital libraries (From inception to January 19, 2022) was performed. A total of 17 studies met the defined studies' inclusion and exclusion criteria. Statistical significance difference favoring most influencing factors on CCA were (MD 0.76, 95% CI -1.48 - 3.01, p <0.00001, I² = 90%), (MD 1.40, 95% CI -4.76 - 7.55, p < 0.00007, I² = 97%) (MD 0.17, 95% CI -2.69 - 3.03, p<0.00001, I² = 96%) for technology vs. organizational, technology vs. environmental and business vs. human factors, respectively. Organizational and environmental factors had greater impacts on CCA compared with technological factors. Moreover, business factors were more influential than the human factors.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.4
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• pp.695-702
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• 2022

Smart railway system, which has been actively studied in recent years, is entering the intelligent stage beyond the automation stage based on ICT (Information & Communication Technology) such as communication technology and information technology. ICT technology used in smart railways is generally supported by various information protection technologies as it is vulnerable to information infringement. As a means of high-speed/mass transportation, it is essential to devise an information protection plan for ICT technology that forms the basis for smartening the railway system. Therefore, this paper presents the necessity of step-by-step information protection that measures for smart railway communication by examining potential risk factors of smart railway communication base and considering information protection factors that can respond to them.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.610-632
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• 2024

Mobile Learning (M-learning) adoption and success in supporting students' learning engagement mainly depend on many factors. Therefore, this study systematically reviews the literature, synthesizes and analyzes the predictors of M-learning adoption, and uses success for students' learning engagement. Literature from 2016 to 2023 in various databases is covered in this study. Based on the review's findings, the factors that influence students' learning engagement when it comes to M-learning usage and adoption, can be divided into technical, pedagogical, and social factors. More specifically, technical factors include mobile devices availability and quality, connectivity to the internet, and user-friendly interfaces, pedagogical factors include effective instructional design, teaching methods, and assessment strategies, and social factors include motivation of students, social interaction and perceived enjoyment - all these factors have a significant impact on the M-learning adoption and use success. The findings of the review also indicated that M-learning has a key role in enhancing the learning engagement of students through different ways, like increasing their motivation, attention, and participation in their process of learning, paving the way for interaction and building relationships opportunities with peers and instructors, which in turn, can lead to strengthening the learning environment. The implications of these findings extend beyond immediate educational contexts, offering vital insights for future educational technology strategies and policy decisions, particularly in addressing global educational challenges and embracing technological advancements in learning.