Purpose This study was conducted for the purpose of evaluating the services of the University Employment Support Center and analyzing the factors affecting satisfaction.
Methods For the purpose of the study, a survey was conducted from a population of 132 people using a measurement tool based on the SERVQUAL Model. After that, the data were analyzed through descriptive statistics and multiple regression analysis.
Results As a result of the analysis, the service quality of the employment support center was above average. In addition, reliability, tangible, assurance, and empathy were influencing overall satisfaction in the order of reliability.
Conclusion When improving the employment support center service, items with low satisfaction should be improved first, but reliability, tangible, assurance, and empathy should be considered. This study is meaningful in that not many related studies have been conducted, and it may be a reference material for improving the university's career education policy and employment support service.

Purpose The purpose of this study is to analyze the impact factors of R&D Efficiency by technology level, focusing on equipment investment in manufacturing industries.
Methods In this paper, a Data Envelopment Analysis(DEA) method was used to measure the R&D efficiency by technology level in the manufacturing industry, and the impact factors of R&D efficiency were derived using the Tobit regression analysis.
Results As a result of the analysis, the causes of R&D efficiency and inefficiency by technology level in the 30s manufacturing industry were identified. In addition, the impact factors of R&D efficiency were derived by technology level and facility investment size.
Conclusion This study proposed a plan to improve R&D efficiency from the perspective of facility investment by technology level. The results of this study are expected to be used as a guideline for decision making in the government's R&D efficiency policies in manufacturing industries.

Purpose Recently, customer consumption patterns are changing due to the influence of COVID-19, which is increasing the amount of delivery and the increased workload of delivery drivers. The purpose of this study is to propose a regional setting technique to improve the poor working environment of delivery drivers and secure convenience.
Methods In the delivery stage, after Clustering, the Routing proceeds. The scope of this study is the stage of setting the area before Routing. After securing the convenience of the delivery driver using Hungarian Algorithm, the density improvement was performed by applying the Geometric Median method.
Results It was confirmed that it was possible to set the area closely to the Depot for each delivery driver, and it was confirmed that the density of the area was improved compared to the application of the K-Mean Clustering technique.
Conclusion Through biased research, research is actively being conducted to secure efficiency in terms of logistics operation, such as reducing delivery distance and manpower. However, additional research needs to be conducted at the same time to improve the poor working environment of delivery drivers.

Purpose This study is to analyze the effect of entrepreneur's social capital, which accumulates through entrepreneur's external network, trust and shared vision among members of the start-up team on entrepreneurial intention and opportunity recognition at the nascent entrepreneurship stage.
Methods For empirical analysis, successful entrepreneurs of smaller ventures were surveyed online A total of 253 samples were obtained and IBM AMOS 20 was used for statistical testing.
Results First, external bridging social capital and internal bonding social capital directly influence nascent entrepreneurship, Second, nascent entrepreneur's behaviors directly influences start-up performance, and it is to say that nascent entrepreneur's behaviors, which is a process of entrepreneurial intention and opportunity recognition, influences start-up performance. Third, external bridging and internal bonding social capital have a significant impact on start-up performance mediated by nascent entrepreneur's behaviors. Fourth, analysis of indirect effect of social capital revealed that external bridging social capital not only influences entrepreneurial intention and opportunity recognition but also the start-up performance significantly.
Conclusion This study has provided theoretical grounds that support that preliminary or potential entrepreneurs can achieve successful entrepreneurship by recognizing the importance of social capital and overcoming the initial challenges of start-up such as lack of resources and anxiety about failure through strategic allocation of social capital.

Purpose The purpose of this study is to examine the effect of flexibility-willingness and deviation behavior on abusive supervision behavior, and in the relationship, to investigate the difference by job rank.
Methods We conducted a multi-group analysis using responses of 362 office workers.
Results For managers, organizational and interpersonal deviant behaviors were found to have a positive effect on abusive supervision, but flexibility-willingness was not statistically significant. For employees, flexibility-willingness had a negative effect on abusive supervision; interpersonal deviant behavior had a positive effect on abusive supervision, but organizational deviance behavior was not statistically significant. There were differences in the relationship of flexibility-willingness and abusive supervision between managers and employees.
Conclusion Based on the findings, the theoretical and practical implications were discussed.

Purpose In the traditional market, which is having difficulties due to changes in consumption trends resulted from the opening of the distribution market and the increase in dual-income households, we intend to derive plans to revitalize the traditional market by applying business TRIZ, which is widely used as a creative problem-solving method.
Methods This study derives solution principle and new ideas for revitalizing traditional markets by applying problems to the business TRIZ research model based on data that identified the problems hindering the vitalization of traditional markets and the fundamental causes of these problems through a survey of merchants operating stores in traditional markets.
Results In this study to plan a traditional market revitalization using a survey on traditional market merchants and business TRIZ, the solution principles for deriving ideas were “Self-service” and “Property change”.
Conclusion In business TRIZ, “small packaging product development”, “point accumulation system”, “core store nurturing”, “meal kit product activation”, “package product”, “combination of cultural products”, “Tourism product linkage”, “experience program”, and “shared marketing (sales, publicity, delivery, workshop)” were derived as soultions for revitalizing traditional markets.

Purpose In order to find the policy direction for the successful construction of smart factories, we study the effects of government non-financial support, smart factory solutions, and the agency capability on corporate performance of smart factory establishment.
Method Measured variables based on prior research were searched for, then questionnaires were formed, and the data surveyed on companies participating in the smart factory construction project were analyzed using PASW Statistics 18.0.
Result As a result, it was confirmed that the company's acceptance attitude had a significant effect on the construction performance. And the influence of the adopting company's acceptance attitude on the construction performance was mediated by the adequacy of government support in the non-financial aspect and the capacity of the operating institution.
Conclusion It is necessary to actively seek out the sharing and promotion of successful cases of excellent smart factory companies, and the use of retired professional technical personnel. In addition, it is necessary to select and input a competent operating agency.

Purpose This study intends to present trend of artificial intelligence of technology in smart logistics and provide suggestion of IP-R&D strategy to company which is performing smart logistic in korea market
Methods A total of 7,369 patent data of companies in US. and Korea were obtained from keywert and quantitative analysis and LDA based topic modeling are used to analyze trend of technology.
Results firstly It was found that technology which are relevant to artificial intelligence widely used in smart logistics industry. second patents of advanced company like Amazon in US, Coupang in Korea have been increased but the other Korean companies have few patents which are related to smart logistics.
Conclusion Big data, autonomous vehicle, voice and text recognition are main technology(hot topic) in smart logistic which is in the matured phase, smart logistics companies in the beginning step are needed to acquire IP-R&D strategy with above technologies, in addition government should have long-tern investment as national infrastructure as other advanced countries

Purpose This study aims to draw a business agreement between SMEs and patent agents through the relative importance of evaluation factors for selecting patent attorneys.
Methods This study designs an empirical research model to determine the relative importance of service quality evaluation items for the selection of patent attorney (PA) by small and medium-sized enterprises (SMEs). The relevant literature is reviewed by focusing on selecting or evaluating PA from companies, universities, and public organizations in South Korea at a working level. Further, interviews from experts on intellectual property (IP) are conducted and the service quality of PA is analyzed using an analytic hierarchy process (AHP).
Results We find that SMEs prioritize cooperation in their supporting tasks, followed by the quality of documents, performance, IP innovative development, and IP management support. However, there are differences between public organizations and PA, even though they prioritize performance, quality of documents, human resources, and size at similar levels.
Conclusion This approach is unique as it combines PA service quality for technology, law, and service in professional service firms. We expect that this study will promote innovation and outcomes for SMEs for sustainable economic growth and improve PA' quality of service.

Purpose This study analyzes significant input variables on small and medium-sized enterprises' default risk.
Methods The input variables include approval year, term, number of employees, new/exist business, created job, retained job, franchise, urban/rural area, line credit, disbursement gross, charge-off, gross approved, SBA approved, industry, state same, and so on. Two models are employed - Gradient boosting and Support vector machine.
Results The analysis results reveal that both GB model and SVM model produce high accuracy, sensitivity, precision, kappa, and AUC in the ROC curve. Most important input variables in the GB model are turned out to be term, ApproalFY, StateSame, DisbursementFY, and SBA_AppvPct.
Conclusion The findings of this study are consistent with existing literature in the sense that AI-based models produce higher performance compared to classical statistical methods. This study suggests that more diverse AI models should be applied to Korean SMEs' data.