• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.892-902
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• 2015

Agri-food ICT(Information and Communications Technologies) convergence has been raised as an important issue for agricultural industry competence. In this situation, this study is to enhance agricultural competitiveness and seek to development plan for agricultural corporation by diagnosing informatization level. For this purpose, this study conducted survey on informatization level of 3,019 agricultural corporations and calculated level score. And result is compared with SMEs(Small and Medium Enterprise) informatization survey, including manufacturing and service industries, conducted by Korea Technology & Information Promotion Agency for SMEs in recent agricultural corporations' growing with automation of agricultural production and improving service to customer satisfaction. Evaluation system is established to calculate informatization level score and AHP(Analytic Hierarchy Process) method was used by the experts to investigate weighting of assessment area, assessment indicators, assessment items. As a result, agricultural corporation informatization level score was 40.16 points which is lower than the benefitted organization of agri-food IT convergence modeling(43.44 points). By assessment area, the informatization level of promotional environment area was low and investment and training items were analyzed low especially so need to improve urgently. In the analysis result by organization type, agricultural company corporation's informatization level was higher than the agricultural association corporation and 'Processing and distribution' was higher than others by business type. Informatization level of agricultural corporation is 80 percent of 2013 SMEs' level(50.18 points) and 59.4 percent of a large corporation(67.64 points). In particular, big difference is occurred in investment feasibility analysis, informatization investment and education which will be need to improve.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.237-245
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• 2018

The purpose of this study is to suggest the improvement plan for an effective benefit sharing support policy through empirical analysis on the benefit sharing operation of government as well as the benefit sharing support policy of government affecting firm performance. Therefore, this study analyzed current problems on benefit sharing operation of government as well as performed a survey for 225 participating and cooperation firms regarding firm performance. This study found some improvements such as insufficient diverse incentive measures leading to the difficulty of participating firm's increase and spread, insufficient substantial benefit sharing such a cash allocation between consignment firms, the increase of biz management system model failing to induce innovation of new technology or product, and difficult spread into 2nd, 3rd cooperative firms besides 1st ones, meanwhile, verifying the positive influence of government benefit sharing support policy on both participating and cooperation firms, especially on the performance of cooperation firms. As a further study, it is necessary to increase the objectiveness and accuracy of a research through verification of the interrelationships between firm statue and performance on the basis of more objective and quantitative data such a sales increase or R&D capability of cooperation firms.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.75-89
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• 2019

In the case of SMEs, entrepreneurship that organizes only core functions with the minimum number of people is increasing, and a responsibility management system focusing on core functions is emphasized, so that the interest in innovation behavior and survival strategy of enterprises is getting bigger. However, in the case of SMEs, it is not easy to pursue continuous innovation due to lack of capital and lack of professional manpower. The purpose of this study is to investigate the effect of SME on innovation behavior by selecting exploratory study and literature study for SMEs. The data for this study were 545 out of the total 600 copies distributed to employees in SMEs. The data were analyzed using SPSS 21.0 and amos18.0. First, product diversification, strategy formulation, and R & D have a significant effect on innovation behavior, and market diversification has no effect on innovation behavior. Second, working variables such as product diversification, market diversification, strategy formulation, and R & D do not control the influence of innovative behavior on innovation behavior. Third, the rank variable, which is the controlling variable, controls the magnitude of the effect of product diversification, market diversification, strategy formulation, and R & D on innovation behavior. As a result, corporate managers should lead the organization in order to promote product diversification, market diversification strategy, R & D and innovation activities. After discussing the conclusions and implications of this study, this study presented the direction of the research for the follow-up study.

• International Area Studies Review
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• v.22 no.2
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• pp.61-91
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• 2018

Credit Guarantee scheme is one of the most effective tools for the small business policy. The performance analysis on domestic institution level is relevant in terms of various factors of assisting tools factor. This study measured comparative global efficiency by DEA model and Super-efficiency model among 70 credit guarantee institutions in Japan, Taiwan, and Korea who are operating the schemes. At the result of the analysis, Korean credit guarantee institutions are comparatively efficient than Japanese institutions, and the DMU shows moderate in operation efficiency. The Super-efficiency ranked by Hiroshima, Taiwan SMEG, Pusan, Chiba, Shizuoka, Ulsan, and KOTEC. Most of the Credit Guarantee Institutions showed increasing returns to scale, and it indicates increasing input strategy. The statistical difference of efficiency level in Japan and Korea shows very meaning numbers. This research suggest that (1)Periodical Analysis are needed on Japanese Schemes, (2)The analysis on the impact of credit guarantee scale to the national economy and SME policy, (3) Analysis on the conclusive factors of the efficiency, (4)The policy direction has to be made by inefficient factor analysis, (5) The measurement tools of efficiency of the schemes in various aspects.

• Journal of Digital Convergence
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• v.19 no.1
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• pp.107-115
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• 2021

This study empirically analyzed the effect of SME representative competency on account receivable management and management performance using questionnaire data. The research model was confirmed through EFA, reliability analysis, CFA, and model fit, and the hypothesis was verified with a SEM. As a result, representative's manager competency had a positive(+) effect on account receivable management, and entrepreneurial competency had a negative(-) effect on credit control management. Account receivable management had a positive(+) effect on management performance. In the mediating test, credit sales management had a positive(+) effect but credit control management had a negative(-) effect on the effect between entrepreneurial competence and business performance. The result suggests that representative competency is an important factor and it is necessary to cultivate management competencies such as finance, utilization of management resources, and account receivables knowledge to improve management performance, and to manage account receivable based on insurance and customer credit for stable account receivable management. In the future, research on the impact of external factor such as consulting and government support and the account receivable management is required.

• Korean small business review
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• v.42 no.2
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• pp.23-42
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• 2020

In this paper, it is analyzed that the financial factors of successful/unsuccessful companies in restructuring among Korean SMEs. For this purpose, the cases of 494 SMEs that had been subjected to workout programs due to financial distress between 2008-2014 were collected from A bank which is a SME financing bank, and had been subjected to logistic regression and t-test. And the sample cases are categorized into two groups, companies subject to external audit and the others, to provide more reliability. The result suggests; First, in all sample cases of SMEs, those are success factors for workout in connection with smaller total assets, lager sales amount, lower ratio of intangible assets, higher ratio of operating profit, lower ratio of short-term debt, higher ratio of long-term debt, and longer corporation history. Secondly, several factors have different influence on companies subject to external audit and the others. Lastly, the success factors for workout in Korean SMEs turned out to be different from those suggested in previous studies that are focused on large company. Some of the financial factors that led financially distressed firm to a successful restructuring showed the same results as large companies, but some of them were not related to them or even had the inverse influence on SMEs. This implies that SMEs have their distinctive success factors.

• Knowledge Management Research
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• v.23 no.4
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• pp.207-231
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• 2022

The purpose of this study is to identify the relationship between PJF(person-job fit) and members' organizational commitment focusing on the mediating factor. Previous Studies have found that person-job fit has positive effect on organizational commitment, and self-efficacy has positive effect on the organizational commitment. On the other hand, the studies to identify whether self-efficacy has a role in mediation between PJF and the members' organizational commitment has been insufficient. To that end, we considered self-efficacy as the mediator of the relationship between PJF and organizational commitment. We used the data which to perform national policy research from 690 workers at a small or medium firm. As a result of verifying the suitability of the research model, it was suitable for the acceptance criteria. Besides the hierarchical regression analysis, bootstrapping was conducted to verify significance of mediating effect of self-efficacy. The main results are as follows. First, the variables, PJF, self-efficacy and organizational commitment showed a positive correlation. Second, PJF has a positive effect on self-efficacy and organizational commitment significantly. Also self-efficacy has a positive effect on organizational commitment significantly. Third, the mediating effect of self-efficacy in the relationship between PJF and organizational commitment is significant. In order to improve person-job fit, this study suggested that SMEs' owners should consider job rotation system and career development program for employees. Based on this study result and implications, we discussed limit of research and direction for future research.

• Information Systems Review
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• v.25 no.3
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• pp.199-220
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• 2023

Projects to deploy and diffuse smart factories in South Korea are aimed at enhancing national manufacturing competitiveness. However, a significant portion of deployed companies remain at the basic stage and struggle to utilize smart factories regularly. Existing studies have primarily focused on the technical aspects of smart factories, using data analytics and case studies, leading to a gap in empirical research on continuous use and upgrade intentions. This study identifies key factors influencing smart factory usage and user satisfaction, drawing on the Information Systems Success Model (ISSM) and previous research. It empirically examines the impact of these factors on continuous use intention, management performance, and advancement acceptance intention through smart factory usage and user satisfaction. A structural equation model is employed to validate the research hypotheses, using survey data from 287 small and medium-sized manufacturing enterprises (SMEs) that have adopted smart factories. Results demonstrate that system quality, information quality, service quality, and government support significantly affect smart factory usage, while service quality and government support influence user satisfaction. Furthermore, smart factory usage and user satisfaction have positive effects on management performance, continuous use intention, and subsequently advancement acceptance intention. This study provides novel insights by demonstrating the specific impact mechanisms of smart factory user satisfaction on the business and the intentions of manufacturing SMEs regarding continuous use and advancement acceptance, leveraging the ISSM.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.101-123
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• 2013

Recently due to the advancements of science and information technology, the socio-economic business areas are changing from the industrial economy to a knowledge economy. Furthermore, companies need to do creation of new value through continuous innovation, development of core competencies and technologies, and technological convergence. Therefore, the identification of major trends in technology research and the interdisciplinary knowledge-based prediction of integrated technologies and promising techniques are required for firms to gain and sustain competitive advantage and future growth engines. The aim of this paper is to understand the recent research trend in management of technology (MOT) and to foresee promising technologies with deep knowledge for both technology and business. Furthermore, this study intends to give a clear way to find new technical value for constant innovation and to capture core technology and technology convergence. Bibliometrics is a metrical analysis to understand literature's characteristics. Traditional bibliometrics has its limitation not to understand relationship between trend in technology management and technology itself, since it focuses on quantitative indices such as quotation frequency. To overcome this issue, the network focused bibliometrics has been used instead of traditional one. The network focused bibliometrics mainly uses "Co-citation" and "Co-word" analysis. In this study, a keywords network analysis, one of social network analysis, is performed to analyze recent research trend in MOT. For the analysis, we collected keywords from research papers published in international journals related MOT between 2002 and 2011, constructed a keyword network, and then conducted the keywords network analysis. Over the past 40 years, the studies in social network have attempted to understand the social interactions through the network structure represented by connection patterns. In other words, social network analysis has been used to explain the structures and behaviors of various social formations such as teams, organizations, and industries. In general, the social network analysis uses data as a form of matrix. In our context, the matrix depicts the relations between rows as papers and columns as keywords, where the relations are represented as binary. Even though there are no direct relations between papers who have been published, the relations between papers can be derived artificially as in the paper-keyword matrix, in which each cell has 1 for including or 0 for not including. For example, a keywords network can be configured in a way to connect the papers which have included one or more same keywords. After constructing a keywords network, we analyzed frequency of keywords, structural characteristics of keywords network, preferential attachment and growth of new keywords, component, and centrality. The results of this study are as follows. First, a paper has 4.574 keywords on the average. 90% of keywords were used three or less times for past 10 years and about 75% of keywords appeared only one time. Second, the keyword network in MOT is a small world network and a scale free network in which a small number of keywords have a tendency to become a monopoly. Third, the gap between the rich (with more edges) and the poor (with fewer edges) in the network is getting bigger as time goes on. Fourth, most of newly entering keywords become poor nodes within about 2~3 years. Finally, keywords with high degree centrality, betweenness centrality, and closeness centrality are "Innovation," "R&D," "Patent," "Forecast," "Technology transfer," "Technology," and "SME". The results of analysis will help researchers identify major trends in MOT research and then seek a new research topic. We hope that the result of the analysis will help researchers of MOT identify major trends in technology research, and utilize as useful reference information when they seek consilience with other fields of study and select a new research topic.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.1
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• pp.95-112
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• 2020

This paper is to investigate how cognitive bias of college students and entrepreneurs relates to perceived risks and entrepreneurial opportunities that represent uncertainty, and how various cognitive bias and entrepreneurial efficacy In the same way. The purpose of this study is to find improvement points of entrepreneurship education for college students and to suggest problems and improvement possibilities in the decision making process of current entrepreneurs. This empirical study is a necessary to improve the decision-making of individuals who want to start a business at the time when various attempts are made to activate the start-up business and increase the sustainability of the existing SME management. And understanding of the difference in opportunity evaluation, and suggests that it is necessary to provide good opportunities together with the upbringing of entrepreneurs. In order to achieve the purpose of the study, questionnaires were conducted for college students and entrepreneurs. A total of 363 questionnaire data were obtained and demonstrated through structural equation modeling. This study confirms that there is some relationship between perceived risk and cognitive bias. Overconfidence and control illusions among cognitive bias have a significant relationship between perceived risk and wealth. Especially, it is confirmed that control illusion of college students has a significant relationship with perceived risk. Second, cognitive bias demonstrated some significant relationship with opportunity evaluation. Although we did not find evidence that excess self-confidence is related to opportunity evaluation, we have verified that control illusions and current status bias are related to opportunity evaluation. Control illusions were significant in both college students and entrepreneurs. Third, perceived risk has a negative relationship with opportunity evaluation. All students, regardless of whether they are college students or entrepreneurs, judge opportunities positively if they perceive low risk. Fourth, it can be seen from the college students 'group that entrepreneurial efficacy has a moderating effect between perceived risk and opportunity evaluation, but no significant results were found in the entrepreneurs' group. Fifth, the college students and entrepreneurs have different cognitive bias, and they have proved that there is a different relationship between entrepreneurial opportunity evaluation and perceived risk. On the whole, there are various cognitive biases that are caused by time pressure or stress on college students and entrepreneurs who have to make judgments in uncertain opportunities, and in this respect, they can improve their judgment in the future. At the same time, university students can have a positive view of new opportunities based on high entrepreneurial efficacy, but if they fully understand the intrinsic risks of entrepreneurship through entrepreneurial education and fully understand the cognitive bias present in direct entrepreneurial experience, You will get a better opportunity assessment. This study has limitations in that it is based on the fact that university students and entrepreneurs are integrated, and that the survey respondents are selected by the limited random sampling method. It is necessary to conduct more systematic research based on more faithful data in the absence of the accumulation of entrepreneurial research data. Second, the translation tools used in the previous studies were translated and the meaning of the measurement tools might not be conveyed due to language differences. Therefore, it is necessary to construct a more precise scale for the accuracy of the study. Finally, complementary research should be done to identify what competitive opportunities are and what opportunities are appropriate for entrepreneurs.