• 유통과학연구
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• 제13권6호
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• pp.71-78
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• 2015

Purpose - This study attempts to analyze whether or not there are characteristics among the top management of companies that promote corporate performance at venture companies. It investigates the characteristics of the human and social capital that are inherent in top management at a venture company and conducts an empirical analysis of hypotheses examining if these characteristics will affect utilization of the governmental R&D support system as well as affect the firm's initial success. Research design, data, and methodology - This study conducted theoretical and empirical research together to accomplish the goal of the study. The pilot study researched human capital and social capital as the independent variables; the governmental R&D support system as the parameter; and, the initial success as the dependent variable. The empirical study carried out research on the model, establishment of hypotheses, and the statistical treatment. A survey was conducted targeting top management of high-tech venture companies in Daedeok Innopolis; 500 questionnaires were distributed; and, 222 were collected. Results - The human and social capital inherent in top management at venture companies in the early stages of their existence become good evaluation data for those who are invested in similar resources. If top management includes strong human and social capital, access to external resources will be easier; these will have a positive influence on the selection of overnmental support systems; and, this proper support will also have a positive influence on the initial success of the venture company. The results revealed the following. First, it was found that when the educational level and functional background, (the top management human capital), are the output function, top management human capital had a significant influence on selection of governmental R&D support funds. Second, it was found that the internal social capital and external social capital, (the top management social capital), had a significant influence on selection of governmental R&D support tasks. Third, it was found that selection of the governmental R&D support tasks at the start of the venture company had a positive influence on the corporate financial performance such as sales, business profits, and the increase in workers; and, had a significant influence on nonfinancial performance such as market share, competitive position, product competitiveness, and the future product development. Conclusions - Selection of the governmental R&D support system is not recognized as part of the direct sales of a venture company in its early stages, but as it can reduce costs for technical development and helps significantly in creating test products and mass production, it has a positive influence on the company's financial performance and nonfinancial performance as a result. Therefore, companies should take great efforts to frequently be selected as a candidate in the governmental R&D support system, as it can help facilitate R&D that requires extensive funds. As a result, companies can expect effects such as job creation and patent applications and they can advance future product sales.

• 유통과학연구
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• 제11권10호
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• pp.93-105
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• 2013

Purpose - This empirical analysis determines the structured causal relations between perceived value, customer satisfaction, and repurchase intention among users of traditional markets. The results of this analysis would help merchants and market operators indevisingan appropriate strategy to successfully manage traditional markets. Research design, data, methodology - The perceived value model of traditional markets includes functional value (price), functional value (quality), emotional value, and social value. In this study, the perceived value of traditional markets is considered as an independent variable, while customer satisfaction and repurchase intention are shown as the dependent variables, where customer satisfaction is also considered as the mediating variable. The study aims to ascertain the extent of influence of the perceived value of traditional markets on customer satisfaction and repurchase intention. We use regression analysis to verify the effects. The measurement items were already deemed as reliable and valid in the previous study, but for this purpose, we made some modifications. We distributed questionnaires to 300 consumers on a national scale, and finally used 241 consumer responses among these as a sample. We analyzed the data using the SPSS 21.0 statistical program. Results - We obtained the following results. First, the order of perceived value dimensions of traditional markets that positively impact customer satisfaction is functional value (price), social value, emotional value, and functional value (quality). Second, the perceived value sometimes directly affects repurchase intention; its effect is typically strong with customer satisfaction as a parameter. The order of perceived value dimensions that positively impact repurchase intention is social value, functional value (price), emotional value, and functional value (quality). Third, the perceived value significantly influences repurchase intention, with customer satisfaction as the mediating variable. Conclusions - We should recognize the importance of perceived value in retail distribution markets, such as traditional markets. Moreover, we need to develop strategies to improve the perceived value. The practical implications of the study are as follows. First, with regards to functional value (quality; price) dimensions, we should have an appropriate assortment of high quality products that are reasonably priced. In addition, customers are satisfied with the friendly service, discounts, and other benefits provided by the merchants. Second, in terms of emotional value dimension, we need to develop differentiated events that provide fun and emotional experience to the customers. Third, in the context of social values dimension, we should strive to positively influence society to enhance social image through activities such as social services and contribution to community development. On the basis of these results, we present the implications, limitations, and future directions for the research. One of the policy implications of the study is that merchants of traditional markets must actively select customers and develop customer value. However, this study is limited in the fact that the population used for data collection is not fully representative, as the survey only covered some specific areas. Moreover, future studies could also benefit with additional research using moderating variables.

• 서비스연구
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• 제9권2호
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• pp.41-54
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• 2019

모바일 애플리케이션의 활용 증가는 최근 소득의 증가와 삶의 스타일의 변화로 사생활에 있어 본인에게 도움이 되는 편의성을 추구하는 현상으로 볼 수 있다. 특히 고객들의 소비 심리를 분석하면 시간 및 노력을 효율적으로 활용할 수 있는 편의성을 추구하는 형태로 볼 수 있다. 본 연구는 선행연구들을 기반으로 카페 모바일 애플리케이션에 적합한 서비스 편의성을 측정하여 매개변수인 지각된 가치를 통해 종속변수인 재이용 의도에 영향을 미치는 인과 관계의 연구모형을 검증하고자 한다. 연구목적 달성하기 위해 문헌연구방법으로 서비스 편의성, 지각된 가치, 재이용 의도와 관련된 참고문헌을 검토하였고, 실증연구를 위해 온라인 리서치 (주)마크로밀 엠브레인 회사를 통해 실시하였고 조사기간은 2018년 10월 26일-11월 08일까지약 이 주일 동안 진행되었으며, 수집된 자료 중 부적합한 13부를 제외하고 일부문항을 삭제하고 조사에 적합한 324부를 활용하였다. 연구결과는 카페 모바일 애플리케이션의 서비스 편의성이 지각된 가치, 재이용 의도에 유의미한(+) 영향을 미치는 것을 입증하였다. 그리고 카페 모바일 애플리케이션의 서비스 편의성이 재이용 의도에 유의적(+)인 영향관계에서 지각된 가치는 매개역할로 유의미한 결과가 있음을 입증하였다. 시사점으로 본 연구는 모바일 애플리케이션환경에서 카페 모바일 애플리케이션의 서비스 편의성을 지각된 가치 및 재이용 의도에 응용하여 마케팅전략에 활용한다면 카페기업들과 소비자에게 도움이 되리라 사료된다. 따라서 이론적으로는 카페 모바일 애플리케이션의 발전 방향을 제시하고 4차 산업혁명 시대에 부합하는 외식산업의 마케팅 전략 혁신과 경쟁우위를 위한 학문적 자료를 제시하고자 한다.

• 한국유통학회지:유통연구
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• 제15권4호
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• pp.87-117
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• 2010

'기업가정신(entrepreneurship)'은 21세기 기업경영에 있어 가장 중요한 핵심요인 중 하나로 주목받고 있다. 기업가정신은 시장의 변화에 민첩하게 대응하고 과감한 혁신을 통해 경쟁우위를 지켜나가야 하는 분야에서 더욱 필요하다. 유통산업과 불가분의 관계를 갖고 있는 프랜차이즈 산업 역시 시장변화 속도가 빠르고 생존경쟁이 치열해 경영자들의 기업가정신이 절실히 요구된다. 특히 중소기업이 대다수를 차지하는 프랜차이즈 산업에서는 가맹본부 CEO의 기업가정신이 기업의 경쟁력을 높이고 장기적인 성장을 달성하는데 중요한 역할을 한다. 그러나 프랜차이즈에 관한 기존 연구들은 가맹본부 CEO의 기업가정신의 중요성을 부각시키고 기업성과에 있어 CEO가 수행하는 역할을 규명하는데 한계를 보여 왔다. 따라서 CEO의 기업가정신과 기업성과간의 관계를 실증적으로 분석하고 프랜차이즈 산업에서 기업가정신을 활성화하기 위한 방안을 도출하는 것은 중요한 연구과제이다. 본 연구에서는 CEO 개인의 기업가정신에 영향을 미치는 영향요인에 관한 연구, 그리고 CEO의 기업가정신이 기업성과에 미치는 영향에 관한 연구를 프랜차이즈 분야에 적용해 분석함으로써, 프랜차이즈 산업에서 기업가정신의 중요성과 기업성과에 미치는 영향관계를 분석하고자 한다. 이를 위해 연구모형을 개발하였고, 모형의 타당성 검증을 위해 가맹본부CEO 152명으로부터 설문지를 회수하여 SPSS와 AMOS 프로그램을 사용해 실증분석을 하였다. 연구결과, 프랜차이즈 가맹본부 CEO의 기업가정신이 기업성과에 긍정적인 영향을 미치는 것으로 파악되었다. 연구결과를 토대로, 프랜차이즈 기업의 성과와 기업가정신 함양을 위한 효과적인 방안을 제시하고자 한다.

• 한국식품과학회지
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• 제32권3호
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• pp.590-597
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• 2000

${\beta}-Glucan$의 점증제 및 겔화제로서의 이용성을 규명하기 위하여 메성 및 찰성보리 ${\beta}-glucan$ 용액의 리을로지 특성을 비교하였다. 메성 및 찰성보리 ${\beta}-glucan$ 용액 모두 의가소생 유체 특성을 나타내었으며, Power law mdel에 잘 적용되었다. Arrhenius 식에 의해 구한 층밀림 속도 $700s^{-1}$에서의 겉보기 점도의 활성화에 너지는 농도가 1%에서 4%로 .증가함에 따라 메성 ${\beta}-glucan$의 경우 20.01에서 16.78kj/mol로, 찰성 ${\beta}-glucan$의 경우 지수의 경우 27.18에서 17.82kj/mol로 감소하였으며, 지수함수식에 의해 구한 농도의존성 상수인 A는 온도가 $20^{circ}C$에서 $65^{circ}C$로 증가함에 따라 메성 ${\beta}-glucan$의 경우 $0.37%^{-1}$에서 $0.42%^{-1}$로, 찰성 ${\beta}-glucan$의 경우 $0.49%^{-1}$에서 $0.57%^{-1}$로 증가하였다. 찰성보리 ${\beta}-glucan$의 고유점도는 2.38dL/g으로 메성보리 ${\beta}-glucan$의 1.60dL/g보다 높게 나타났으며, 비점도와 환원농도의 관계에서 구한 critical coil overlap parameter($C^*[{\eta}]$)를 경계로 기울기가 달라져 $C[{\eta}] 영역에서는 메성 및 찰성보리 ${\beta}-glucan$ 간에 차이가 나지 않았지만 $C[{\eta}]>C^*[{\eta}]$ 영역에서는 각각 2.907과 3.757을 나타내었다. 동적점탄성 측청 결과 진동수 변환중 cross-over가 일어나고 이후의 진동수 영역에서는 저장탄성율이 손실탄성율보다 높은 값을 나타내었으며, 24시간 경과 후 겔을 형성하여 겔화제로서의 이용 가능성을 보여주었다.

• 한국응용곤충학회지
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• 제46권2호
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• pp.213-219
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• 2007

보리두갈래진딧물 [Schizaphis graminum (Rondani)] 의 발육실험은 $15-32.5^{\circ}C$, 상대습도 $65{\pm}5%$, 광주기 16L:8D 조건에서 조사하였다. 진딧물의 발육 중 약충 사충률은 $15^{\circ}C$에서 $32.5^{\circ}C$까지 조사했을 때, 어린약충기간의 사충률이 대부분을 차지하였고, 온도가 높아지면서 사충률이 점차적으로 감소하였다. 그러나 $30^{\circ}C$부터 다시 증가하여, $32.5^{\circ}C$에서 다른 온도보다 사충률이 높게 나타났다. 진딧물의 전체 약충 발육기간을 보면 $30^{\circ}C$에서 4.9 일로 가장 짧았고 $15^{\circ}C$에서 13.8 일로 가장 길었다. $15^{\circ}C$에서 $30^{\circ}C$까지 온도가 증가함에 따라 발육기간이 짧아지는 경향을 보이지만, $32.5^{\circ}C$부터 다시 발육기간이 6.4 일로 길어졌고, $35^{\circ}C$에서는 모든 약충이 죽어서 발육기간에 포함하지 않았다. 발육영점온도는 $6.8^{\circ}C$이었고, 유효 적산온도는 105.9일도였다. 온도별 발육율은 Sharpe and DeMichele 의 모델을 변형시켜 Schoolfield 등이 제시한 온도별 발육모형에 잘 부합되어 보리두갈래 진딧물의 발육모형을 적용하는데 적합한 것으로 생각한다. 생리적 연령에 따른 발육완성시기를 Weibull function을 이용했을 때 온도별 발육시기의 누적발육률을 비교적 잘 설명하였다.

• Asia pacific journal of information systems
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• 제22권3호
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• pp.99-124
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• 2012

Our society has long been talking about necessity for innovation. Since companies in particular need to carry out business innovation in their overall processes, they have attempted to apply many innovation factors on sites and become to pay more attention to their innovation. In order to achieve this goal, companies has applied various information technologies (IT) on sites as a means of innovation, and consequently IT have been greatly developed. It is natural for the field of IT to have faced another revolution which is called cloud computing, which is expected to result in innovative changes in software application via the Internet, data storing, the use of devices, and their operations. As a vehicle of innovation, cloud computing is expected to lead the changes and advancement of our society and the business world. Although many scholars have researched on a variety of topics regarding the innovation via IT, few studies have dealt with the issue of could computing as IT. Thus, the purpose of this paper is to set the variables of innovation attributes based on the previous articles as the characteristic variables and clarify how these variables affect "Performance Expectancy" of companies and the intention of using cloud computing. The result from the analysis of data collected in this study is as follows. The study utilized a research model developed on the innovation diffusion theory to identify influences on the adaptation and spreading IT for cloud computing services. Second, this study summarized the characteristics of cloud computing services as a new concept that introduces innovation at its early stage of adaptation for companies. Third, a theoretical model is provided that relates to the future innovation by suggesting variables for innovation characteristics to adopt cloud computing services. Finally, this study identified the factors affecting expectation and the intention to use the cloud computing service for the companies that consider adopting the cloud computing service. As the parameter and dependent variable respectively, the study deploys the independent variables that are aligned with the characteristics of the cloud computing services based on the innovation diffusion model, and utilizes the expectation for performance and Intention to Use based on the UTAUT theory. Independent variables for the research model include Relative Advantage, Complexity, Compatibility, Cost Saving, Trialability, and Observability. In addition, 'Acceptance for Adaptation' is applied as an adjustment variable to verify the influences on the expected performances from the cloud computing service. The validity of the research model was secured by performing factor analysis and reliability analysis. After confirmatory factor analysis is conducted using AMOS 7.0, the 20 hypotheses are verified through the analysis of the structural equation model, accepting 12 hypotheses among 20. For example, Relative Advantage turned out to have the positive effect both on Individual Performance and on Strategic Performance from the verification of hypothesis, while it showed meaningful correlation to affect Intention to Use directly. This indicates that many articles on the diffusion related Relative Advantage as the most important factor to predict the rate to accept innovation. From the viewpoint of the influence on Performance Expectancy among Compatibility and Cost Saving, Compatibility has the positive effect on both Individual Performance and on Strategic Performance, while it showed meaningful correlation with Intention to Use. However, the topic of the cloud computing service has become a strategic issue for adoption in companies, Cost Saving turns out to affect Individual Performance without a significant influence on Intention to Use. This indicates that companies expect practical performances such as time and cost saving and financial improvements through the adoption of the cloud computing service in the environment of the budget squeezing from the global economic crisis from 2008. Likewise, this positively affects the strategic performance in companies. In terms of effects, Trialability is proved to give no effects on Performance Expectancy. This indicates that the participants of the survey are willing to afford the risk from the high uncertainty caused by innovation, because they positively pursue information about new ideas as innovators and early adopter. In addition, they believe it is unnecessary to test the cloud computing service before the adoption, because there are various types of the cloud computing service. However, Observability positively affected both Individual Performance and Strategic Performance. It also showed meaningful correlation with Intention to Use. From the analysis of the direct effects on Intention to Use by innovative characteristics for the cloud computing service except the parameters, the innovative characteristics for the cloud computing service showed the positive influence on Relative Advantage, Compatibility and Observability while Complexity, Cost saving and the likelihood for the attempt did not affect Intention to Use. While the practical verification that was believed to be the most important factor on Performance Expectancy by characteristics for cloud computing service, Relative Advantage, Compatibility and Observability showed significant correlation with the various causes and effect analysis. Cost Saving showed a significant relation with Strategic Performance in companies, which indicates that the cost to build and operate IT is the burden of the management. Thus, the cloud computing service reflected the expectation as an alternative to reduce the investment and operational cost for IT infrastructure due to the recent economic crisis. The cloud computing service is not pervasive in the business world, but it is rapidly spreading all over the world, because of its inherited merits and benefits. Moreover, results of this research regarding the diffusion innovation are more or less different from those of the existing articles. This seems to be caused by the fact that the cloud computing service has a strong innovative factor that results in a new paradigm shift while most IT that are based on the theory of innovation diffusion are limited to companies and organizations. In addition, the participants in this study are believed to play an important role as innovators and early adapters to introduce the cloud computing service and to have competency to afford higher uncertainty for innovation. In conclusion, the introduction of the cloud computing service is a critical issue in the business world.

• 경영정보학연구
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• 제16권3호
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• pp.161-177
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• 2014

기업신용등급은 금융시장의 신뢰를 구축하고 거래를 활성화하는데 있어 매우 중요한 요소로서, 오래 전부터 학계에서는 보다 정확한 기업신용등급 예측을 가능케 하는 다양한 모형들을 연구해 왔다. 구체적으로 다중판별분석(Multiple Discriminant Analysis, MDA)이나 다항 로지스틱 회귀분석(multinomial logistic regression analysis, MLOGIT)과 같은 통계기법을 비롯해, 인공신경망(Artificial Neural Networks, ANN), 사례기반추론(Case-based Reasoning, CBR), 그리고 다분류 문제해결을 위해 확장된 다분류 Support Vector Machines(Multiclass SVM)에 이르기까지 다양한 기법들이 학자들에 의해 적용되었는데, 최근의 연구결과들에 따르면 이 중에서도 다분류 SVM이 가장 우수한 예측성과를 보이고 있는 것으로 보고되고 있다. 본 연구에서는 이러한 다분류 SVM의 성능을 한 단계 더 개선하기 위한 대안으로 유전자 알고리즘(GA, Genetic Algorithm)을 활용한 최적화 모형을 제안한다. 구체적으로 본 연구의 제안모형은 유전자 알고리즘을 활용해 다분류 SVM에 적용되어야 할 최적의 커널 함수 파라미터값들과 최적의 입력변수 집합(feature subset)을 탐색하도록 설계되었다. 실제 데이터셋을 활용해 제안모형을 적용해 본 결과, MDA나 MLOGIT, CBR, ANN과 같은 기존 인공지능/데이터마이닝 기법들은 물론 지금까지 가장 우수한 예측성과를 보이는 것으로 알려져 있던 전통적인 다분류 SVM 보다도 제안모형이 더 우수한 예측성과를 보임을 확인할 수 있었다.

• Tuberculosis and Respiratory Diseases
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• 제67권2호
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• pp.95-104
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• 2009

Background: The pathophysiologic mechanisms of early acute lung injury (ALI) differ according to the type of primary insult. It is important to differentiate between direct and indirect pathophysiologic pathways, and this may influence the approach to treatment strategies. NF-$\kappa$B decoy oligodeoxynucleotide (ODN) is a useful tool for the blockade of the expression of NF-$\kappa$B-dependent proinflammatory mediators and has been reported to be effective in indirect ALI. The purpose of this study was to investigate the effect of NF-$\kappa$B decoy ODN in the lipopolysaccharide (LPS)-induced direct ALI model. Methods: Five-week-old specific pathogen-free male BALB/c mice were used for the experiment. In the preliminary studies, tumor necrosis factor (TNF)-$\alpha$, interleukine (IL)-6 and NF-$\kappa$B activity peaked at 6 hours after LPS administration. Myeloperoxidase (MPO) activity and ALI score were highest at 36 and 48 hours, respectively. Therefore, it was decided to measure each parameter at the time of its highest level. The study mice were randomly divided into three experimental groups: (1) control group which was administered 50 ${\mu}L$ of saline and treated with intratracheal administration of 200 ${\mu}L$ DW containing only hemagglutinating virus of Japan (HVJ) vector (n=24); (2) LPS group in which LPS-induced ALI mice were treated with intratracheal administration of 200 ${\mu}L$ DW containing only HVJ vector (n=24); (3) LPS+ODN group in which LPS-induced ALI mice were treated with intratracheal administration of 200 ${\mu}L$ DW containing 160 ${\mu}g$ of NF-$\kappa$B decoy ODN and HVJ vector (n=24). Each group was subdivided into four experimental subgroups: (1) tissue subgroup for histopathological examination for ALI at 48 hours (n=6); (2) 6-hour bronchoalveolar lavage (BAL) subgroup for measurement of TNF-$\alpha$ and IL-6 in BAL fluid (BALF) (n=6); (3) 36-hour BAL subgroup for MPO activity assays in BALF (n=6); and (4) tissue homogenate subgroup for measurement of NF-$\kappa$B activity in lung tissue homogenates at 6 hours (n=6). Results: NF-$\kappa$B decoy ODN treatment significantly decreased NF-$\kappa$B activity in lung tissues. However, it failed to improve the parameters of LPS-induced direct ALI, including the concentrations of tumor necrosis factor-$\alpha$ and interleukin-6 in BALF, myeloperoxidase activity in BALF and histopathologic changes measured by the ALI score. Conclusion: NF-$\kappa$B decoy ODN, which has been proven to be effective in indirect models, had no effect in the direct ALI model.

• 중소기업연구
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• 제31권2호
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• pp.103-120
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• 2009

창업보육센터는 창업을 준비하는 예비창업자 및 신규 창업자에게 사업을 영위하는데 필요한 자원 및 서비스를 제공하고, 사업을 수행하는 과정에서 발생되는 다양한 문제의 해결에 도움을 주고 있다. 그러나 이러한 지원은 상황에 따라 기업의 자생력을 높이기보다는 창업보육센터에 대한 의존도를 높이는 경향이 있다. 본 연구는 창업보육서비스를 제공형태에 따라 인프라 지원, 네트워크 연계 지원, 직접 지원으로 분류한 후에 이들 서비스의 제공이 입주기업의 창업보육센터 의존도에 미치는 영향관계를 살펴보고, 아울러 입주기간에 따른 조절효과를 살펴보았다. 연구결과 세 가지 보육서비스 모두 의존도에 영향을 미치는 것으로 파악되었으며, 입주기간에 따른 조절효과는 기간이 늘어날수록 네트워크 연계 지원서비스에 정의 효과가 있는 반면 직접 지원서비스는 부의 효과가 있는 것으로 파악되었다. 이러한 결과는 입주기간이 늘어감에 따라 직접 지원서비스의 경우에는 입주기업이 센터의 자원을 흡수하여 기업의 역량으로 만들어 가지만, 네트워크 연계 지원서비스는 기업의 센터에 대한 의존도를 높이고 있다는 것을 보여준다. 따라서 신생기업이 자생력을 갖기 위해서는 보육서비스를 보육기간에 따라 차별적으로 제공해야 한다는 시사점을 제시하고 있다.