• Journal of the Korean Society for information Management
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• v.17 no.3
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• pp.125-146
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• 2000

This study is to maximize the efficiency of university libraries' human resources management by determining the followings : the relationship between the level of information technology(1T) implement and the job satisfaction of the librarians, the main factors that affect job satisfaction, and how organizational characteristics and individual characteristics affect job satisfaction. Questionnaire was sent to 485 librarians from 27 universities chosen by stratified sampling and the methods of ANOVA, T-test, and correlation analysis were used. The results of the analysis are as follows. 1) there is a significant difference in the level of job satisfaction and the motivation factor according to the level of implementation of IT. 2) There is a relatively high correlation among the participation in decision making, the leadership in implementing the IT, the IT support of the CEO and job satisfaction. 3) There is a significant difference in job satisfaction by the level of computer skills, and a relatively high correlation is shown in the training experience while implementing the IT and job satisfaction.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.13 no.6
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• pp.191-198
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• 2018

Technology transferors and technology transferees decide to transfer technology with various motivations as they share benefits and risks. On top of economic benefit factors and risk factors provided by technology transferees, technology transferors also make technology transfer decisions by taking into account various factors such as government policies and systems, as well as their management strategies. In this study, the factors influencing the technology transfer in the chemical industry and the influence on the technology transfer intention are analysed. As a result of this study, factors influencing technology transfer are economic benefit factor, technological factor, risk factor, and socio-cultural factor. A significant differences in the influencing factors between the technology transferors and the technology transferees are that the economic benefit factors are more considered by the technology transferees and the technological factors are more considered by technology transferors in technology transfer. Technology transferees shows the stronger intention to enter technology transfer than the technology transferors.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.125-133
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• 2020

This study confirms the impact relationship between the president and employee competency related to smart factory construction of manufacturing SMEs, the acceptance intention and management performance in smart factory construction. The 310 data collected through a questionnaire were tested for research hypotheses through SEM. As a result, the president and employee competency affects the smart factory acceptance intention and the employee competency affects the management performance. Acceptance intention has a positive impact on management performance. Regional characteristics have a moderating effect on the relationship between president competency, acceptance intention, and management performance. Through this study, it was confirmed that the president and employee competency was an important factor in smart factory built.

• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.56-64
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• 2013

New construction technologies, especially automated equipment, are rarely deployed on a construction site where many accidents and claims occur. This study analyzed and derived impact factors for technology adoption to improve the chance of adopting automated construction equipment to the field. First, impact factors were classified into functional and non-functional factors. Then the functional factors were divided into usability and functionality factors, and the non-functional factors into cost, construction property, and organization factors. Next, the importance and realization possibility of each impact factor were analyzed through a survey with experts. Usability and functionality were analyzed to have the highest importance and realization possibility. Lastly, the differences between construction companies and equipment development companies in the importance and realization possibility of each factor were analyzed. Construction companies recognized previous relationship, operator's attitude, members' will, and construction quality more important than equipment development companies.. The equipment development companies should consider these differences between the view of construction companies and that of equipment development companies on the impact factors. The result of this study can be used as a basis for evaluating for automated construction equipment in the preliminary development phase.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1993.10a
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• pp.99-104
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• 1993

생산자동화기술을 도입하여 도입성과를 향상시키려면 자동화기술을 도입하고 활용함에 있어서 성공요인들을 문헌과 현장의 사례들을 통하여 충실히 검토하고 종합적으로 분석한 후에 이를 생산시스템에 적용할 때에는 자동화기술의 상반관계(trade-off)에 있는 성과변수를 동시에 향상시켜 경쟁력을 갖게 될 것이다. 기업전략과 생산전략을 수립하고 그 틀 안에서, 생산자동화기술 추진전략을 세워 전략사이의 적합성이 높을 때 자동화기술 도입성과는 크게 향상될 것임을 유념해야 한다. 따라서 본 연구에서 제시한 생산자동화기술 성공요인이 자동화기술 도입성과에 영향을 미치므로 자동화기술 추진전략이 기업의 능력범위 안에서 이들 요인을 잘 반영하고 있는지를 검토하고, 분석한 후에 종합적으로 판단하여야 한다. 이러한 과정을 거쳐 자동화기술이 도입되고 운영될 때 자동화기술 도입효과는 극대화될 수 있다.

• 한국벤처창업학회:학술대회논문집
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• 2021.11a
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• pp.69-76
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• 2021

국가 경제의 활력을 위해 창업은 더없이 중요하다. 창업은 일자리를 새로이 창출하고, 기업 활동에 혁신을 도입하며, 경제성장을 유발하여 국가경제의 발전과 성장에도 기여한다고 할 수 있겠다. 위와 같은 창업의 중요성으로 인해, 창업을 촉진하는 것은 전 세계적으로 최우선 과제로 진행하고 있으며, 우리나라도 창업을 활성화하기 위해 정부 차원의 많은 지원과 노력을 아끼지 않고 있다. 최근 청년 실업률의 증가와 함께 특히 청년층의 진로 대안 마련이라는 사회적 문제가 큰 논점으로 부상하면서 우리 군에서도 청년층의 실업 문제의 해결과 새로운 고용의 창출을 위한 방안으로써 창업 프로그램을 도입하여 운영하고 있다. 본 연구는 군 장병 대상 창업 프로그램을 창업교육, 창업 멘토링, 창업 경진대회로 구분하여 각각의 프로그램 중 어떤 창업 프로그램이 군 장병의 자기효능감과 문제해결능력에 영향을 미치는지를 고찰한다. 또한, 군 창업 프로그램이 조직성과에도 영향을 미치는지에 대해 실증분석을 실시하며, 자기효능감과 문제해결능력을 매개로 조직성과에 영향을 미치는지를 확인하고자 한다. 본 연구의 검증 결과를 토대로 군 창업 프로그램의 중요성과 효과성을 알리고 현재 시행되고 있는 군 장병 창업 프로그램의 개선과 더불어 향후 군 장병에 대한 창업 지원정책 수립과 발전에 그 근거를 제공하고자 한다. 본 연구는 군 장병의 자기효능감과 문제 해결능력을 함양하기 위해 도입한 군 창업 프로그램의 실효성과 군 창업 프로그램이 자기효능감과 문제해결능력을 매개로 하여 조직성과에 유의미한 영향을 미치는지를 분석하고자 한다.

• Journal of Digital Contents Society
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• v.15 no.6
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• pp.683-699
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• 2014

This study examines the key factors which influence the strategic consideration and intention of adoption of internet marketing of small-and-medium sized companies, based on theoretical consideration of innovation diffusion theory and previous studies related. The result of analysis shows that the degree of market competitiveness, customer dependency, the level of internet marketing knowledge and experience have significant effects on both of strategic consideration and adoption intention for internet marketing. Also, learning commitment has negative influence on strategic consideration only, while environmental dynamism does on adoption intention. Comprehensively, the findings implies that firms consider selection of internet marketing to reduce the severity of competitiveness and that firms which has more knowledge or experience about internet marketing seems to consider selection of internet marketing through the perception of the effects of internet marketing or possible access to internet marketing. Based on the findings that the level of internet marketing knowledge and experience have much significant effects on both of strategic consideration.

• Korean Journal of Construction Engineering and Management
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• v.15 no.2
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• pp.104-111
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• 2014

Due to the structure of advanced installment sales of houses which is a construction industrial structure unique to Korea and the Project Financing (PF) project structure that includes construction companies' debt guarantee agreements, the changes in accounting methods resulting from the introduction of K-IFRSs are expected to act in a direction to deteriorate construction businesses' financial statements. Therefore, K-IFRSs are an important issue that can seriously affect the entire domestic construction industry and construction businesses are conceiving strategies to respond to the introduction of K-IFRSs. From this viewpoint, this study was intended to empirically analyze the effect of the introduction of K-IFRSs on construction businesses utilizing financial data applied with the K-IFRSs recently announced. In the analysis, the EDFs were calculated by business using the existing accounting standards GAAP and using K-IFRSs and the results were compared with each other. The results of the analysis indicated that most construction businesses were adversely affected by the introduction of K-IFRSs. It is also considered that businesses with relatively good financial statements under the existing accounting standards GAAP would be affected more by the introduction of K-IFRSs than other businesses. In addition, the introduction of K-IFRSs is expected to have larger effects on large construction businesses that have been providing debt guarantees for PF projects than on small or medium sized construction businesses.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.145-160
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• 2017

This paper aims to investigate the effects of Smart-Work IT resources on job performance. The survey was conducted amongst the business workers who are currently engaged in domestic major companies as well as small businesses, and analyzed based on the frequency, factor and reliability. Using PROCESS Macro, we conducted an analysis of the relationship between the IT resources and job performance, treating collective intelligence as a mediating parameter. The results of the study are as follows. First, the IT resources of the companies were found to have a meaningful effect on job performance. Second, the IT resources were found to have no effect on employee productivity except through their effect on the collective intelligence. Finally, while openness and cooperation were found to be the aspects of collective intelligence which mediated between IT resources and workflow improvement, participation, openness and cooperation were found to be the aspects of collective intelligence which mediated between IT resources and workflow coordination, In the future, it is necessary to compare quantitatively the financial performance of Smart-Work adopters and others in the same industry or to compare the financial performance before and after introducing Smart-Work dynamically within the same company.