연구비에 대한 인식이 연구비 사용 의도에 미치는 영향에 관한 연구 : RCMS 사용자를 중심으로 (The Effects of National Research Fund Recognition on the Research Fund Payment Intend in R&D Project)

서지정보

· 발행기관 : 한국IT서비스학회
· 수록지 정보 : 한국IT서비스학회지 / 17권 / 3호 / 77 ~ 100페이지
· 저자명 : 이정우, 한명훈

초록

As the importance of R&D has recently become more important, the budget for national R&D projects has continued to grow. Along with, there is a growing awareness to use and manage R&D funds transparently. This study examines the relationship among attitude toward the behavior (ATT), subjective norm (SN), perceived behavioral control (PBC) and behavioral Intention (BI) deriving from TPB (Theory of planned Behavior). To empirically prove the hypothesis, the statistical analysis were conducted based on the response from the 2,021 RCMS users, using SPSS 21.0 and AMOS 21.0. The research model variable consists of ATT, SN, PBC, BI, person type, RCMS characteristics.
The results of study can be summarized as follows. First, ATT, SN, PBC have the positive effect on BI. Second, According to the type of person (Director, R&D supporter), there is no difference in ATT on BI but there is a difference in SN (or PBC) on BI. Third, The type of person have moderating effects in the relationship between ATT and BI. Finally, All RCMS characteristics have moderating effects in the relationship between ATT and BI. Some RCMS characteristics have moderating effects in the relationship between PBC and BI.

영어초록

As the importance of R&D has recently become more important, the budget for national R&D projects has continued to grow. Along with, there is a growing awareness to use and manage R&D funds transparently. This study examines the relationship among attitude toward the behavior (ATT), subjective norm (SN), perceived behavioral control (PBC) and behavioral Intention (BI) deriving from TPB (Theory of planned Behavior). To empirically prove the hypothesis, the statistical analysis were conducted based on the response from the 2,021 RCMS users, using SPSS 21.0 and AMOS 21.0. The research model variable consists of ATT, SN, PBC, BI, person type, RCMS characteristics.
The results of study can be summarized as follows. First, ATT, SN, PBC have the positive effect on BI. Second, According to the type of person (Director, R&D supporter), there is no difference in ATT on BI but there is a difference in SN (or PBC) on BI. Third, The type of person have moderating effects in the relationship between ATT and BI. Finally, All RCMS characteristics have moderating effects in the relationship between ATT and BI. Some RCMS characteristics have moderating effects in the relationship between PBC and BI.

참고자료

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