[논문]컨설팅 주요활동지수에 따른 컨설팅 성과 및 이해도에 관한 연구

이창재; 유연우; 전주상

doi:10.15207/jkcs.2018.9.10.285

컨설팅 주요활동지수에 따른 컨설팅 성과 및 이해도에 관한 연구
A Study on Consulting Performance and Intelligibility according to the Consulting Key Activity Index. - Focusing on Government Supported Convergence Consulting 원문보기

한국융합학회논문지 = Journal of the Korea Convergence Society, v.9 no.10, 2018년, pp.285 - 291

이창재 (한성대학교 지식서비스 컨설팅대학원) , 유연우 (한성대학교 지식서비스 컨설팅대학원) , 전주상 (한성대학교 사회과학부)

초록
AI-Helper

이번 연구의 목적은 중소기업의 컨설팅성과 및 컨설팅 이해도에 대해 컨설팅 참여도, 전문성 및 컨설팅 능력의 효과를 확인하는 데 있다. 이번 연구는 AMOS 22.0와 같은 통계분석을 수행함으로써 컨설팅 참여 수준, 컨설팅 이해도 및 컨설팅 성과 간의 상호 관계를 파악하기 위해 탐구적 분석과 측정 모델을 실시하였다. 연구 결과는 다음과 같다. 첫째, 두번째 컨설팅 참여 수준, 컨설팅 전문성과 컨설턴트 능력은 컨설팅 성과 및 컨설팅 파악에 긍정적인 영향을 미친다. 세 번째로 컨설팅 이해도는 컨설팅 성과에 긍정적인 영향을 미치지는 않는다. 이번 설문조사에 따르면 컨설팅 참여 수준, 전문성과 능력을 통해 좋은 컨설팅 성과를 내는 것이 중요하다. 컨설팅 성과에 대한 컨설팅 이해도는 영향을 주지 않는다.

Abstract ▼ AI-Helper

The purpose of this study is to identify the effects of consulting participation level, consulting specialty, and consulting capability on consulting intelligibility and consulting performance for Small Medium-sized Enterprises (SMEs).This study performed statistical analysis such as AMOS 22.0 to conduct exploratory factor analysis and measurement model in order to identify interrelationship among the consulting participation level, consulting intelligibility and consulting performance. The results of our study are as follow. Firstly and secondly consulting participation level, consulting specialty and consultant capability has positive effect on consulting performance and consulting intelligibility. Thirdly, consulting intelligibility has non positive effect on consulting performance. According to this survey, it is important to make good consulting performance through consulting participation level, specialty and capability. But the consulting intelligibility is not effected on consulting performance.

주제어

표/그림 (5)

그림 Fig. 1. Research Model
표 Table 1. Exploratory Factor Analysis
그림 Fig. 2. The Structural Path
표 Table 2. Confirmatory Factor Analysis and Goodness of Fit of Measurement Model
표 Table 3. Goodness of Fit of Research Model

AI 본문요약
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* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.

문제 정의

We observed that consulting participation level, consulting specialty and consulting capability, which affect consulting performance, have a significant effect on both consulting performance and consulting intelligibility. From this study, we were able to identify what SMEs has to pursue in order to achieve a good consulting performance. However, as consulting intelligibility turned out to have no effect on consulting performance, consulting firm itself is more important than consulting intelligibility and it is important to focus on achieving practical outcomes than helping the SMEs with their consulting intelligibility.
The purpose of this study is to identify the effects of consulting participation level, consulting specialty and consulting capability on consulting performance and consulting intelligibility for SMEs who have had experienced government supported consulting services. Our results show that consulting participation, consulting specialty and consulting capability are positively correlated to consulting performance and consulting intelligibility.
However, there have not been many studies that evaluate the effect of government support for early stage SMEs on their consulting intelligibility and performance. Thus, the purpose of our research is to evaluate the influence on consulting performance and intelligibility by consulting participation level, consulting specialty and consulting capability financial support program and to provide insights whether to expand or continue the government support program and policies like consulting.

가설 설정

H1: The consulting participation level will have a positive impact on the consulting performance.
H3: The consulting specialty will have a positive impact on the consulting performance.
H4: The consulting speciality will have a positive impact on the consulting intelligibility.
H5: The consulting capability will have a positive impact on the consulting performance.
H6: The consulting capability will have a positive impact on the consulting intelligibility.

제안 방법

As research model is found appropriate, path coefficients, which are shown in Fig. 2, were analyzed for more detailed hypothesis testing. Better awareness of consulting participation level(H1), consulting specialty(H3) and consulting capability(H5) leads to better awareness of consulting performance (standardized coefficients β=.
Based on past studies, we proposed a research model as demonstrated in Fig. 1, to identify the effects of consulting participation level, consulting specialty and consulting capacity on consulting performance and consulting intelligibility among SMEs that have experienced government supported consulting services, and to identify the effects of consulting intelligibility on the consulting performance.
There has been a lot of controversies regarding the effectiveness of the consulting effect; moreover, research related to ability and satisfaction have been main topics of studies. Therefore, to overcome these problems, this study conducted research on consulting participation, speciality and capability and its effect through research hypothesis and statistical analysis.
This study performed statistical analysis such as AMOS 22.0 to conduct exploratory factor analysis and measurement model in order to identify interrelationship among the consulting participation level, consulting intelligibility and consulting performance. The results of our study are as follow.

대상 데이터

We selected SMEs that have experienced government supported consulting services as the subjects of study and conducted surveys for about a month starting from January 2016. The total of 283 cases of survey were collected out of 600 that were distributed and after eliminating those with missing entries, 283 cases were actually used in our analysis.

성능/효과

We decided to use all the components as all of them were found reliable and our factor analysis was able to explain 63.909% of the total variance. Based on past studies, 5 variables, which are Consulting Participation Level, Consulting Specialty, Consultant capability, Consulting Intelligibility and Consulting performance, were selected, and reliability testing was performed for each variable.

참고문헌 (25)

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상세보기
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