An Analysis of Influencing Factors for Promoting the Technology Commercialization of R&D Outcomes using Structural Equation Model

2017 ◽  
Vol 22 (2) ◽  
pp. 41-55
Author(s):  
Jeong Min Han ◽  
Young Duck Lee ◽  
Sang Sung Nam
Keyword(s):  
Structural Equation Model ◽  
Influencing Factors ◽  
Structural Equation ◽  
Equation Model ◽  
Technology Commercialization

scholarly journals Evaluation on the Effect of Service-Learning in E-Business Professional Curriculum

2019 ◽  
Vol 14 (08) ◽  
pp. 115
Author(s):  
Jie Ji ◽  
Jianqiang Gu
Keyword(s):  
Student Engagement ◽  
Service Learning ◽  
Structural Equation Model ◽  
Influencing Factors ◽  
Direct Effect ◽  
Structural Equation ◽  
Equation Model ◽  
Students Satisfaction ◽  
Relevant Factors ◽  
Business Professional

Based on structural equation model, this paper evaluated the effect of Service-Learning in E-business professional curriculum, and built a structural equation model of Service-Learning and its influencing factors from three aspects: project resource, teaching organization and student engagement，in order to understand the students satisfaction to the effect of Service-Learning and the relevant factors. The results show that, the effect of Service-Learning is influenced by the three aspects mentioned above. Among which, teaching organization and student engagement have a direct effect on the effect of Service-Learning, however, the influence of the project resource mainly displays the indirect influence.

scholarly journals Influencing factors of physicians’ prescription behavior in selecting essential medicines: a cross-sectional survey in Chinese county hospitals

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Xin Zhou ◽  
Xueting Zhang ◽  
Linsheng Yang ◽  
Xu Hu ◽  
Aizong Shen ◽  
...  
Keyword(s):  
Health Care ◽  
Structural Equation Model ◽  
Influencing Factors ◽  
Structural Equation ◽  
Essential Medicine ◽  
Equation Model ◽  
Essential Medicines ◽  
Actual Behavior ◽  
Cross Sectional ◽  
Factors Affecting

Abstract Background To explore the key factors affecting prescription practices of essential medicines in Chinese county hospital. National essential medicine policy (NEMP) plays important roles in health care system, especially in developing countries. As a fundamental component in the Chinese health system reform, NEMP was implemented in primary health care institutions during the first stage of reform. As it is rolled out, priority usage and zero-mark-up policy of essential medicines are to be applied in every government-run healthcare institution. However, the intention and influence factors of physicians on priority selecting essential medicine remains unclear. Methods Based on the theory of planned behavior, a cross-sectional questionnaire survey was conducted to analyze physicians’ intention, attitude, subjective norms (SNs) and perceived behavioral control (PBC) on prescrictions and their actual behavior on selection of essential medicines. Results Two hundred eighty-two physicians participated in the structural questionnaire interview. The final structural equation model reflected influencing factors affecting physicians’ prescribing behavior (χ2/df = 1.32, GFI = 0.99, IFI = 0.99). Structural equation model analysis showed that attitude, other influencers and institutional environment, and PBC significantly affected behavioral intention. However, the control extent of cognition behavior of physicians prescribing had no significant positive effect on the priority usage of essential medicines. Conclusion Investigation results demonstrate physicians are unaware of NEMP design and implementation plans. To help enhance rational use of essential medicines we suggest educating physicians on the value of NEMP, and integrating the drug shortage report into the essential medicine (EM) bidding system seamless communication with pharmaceutical manufacturers’ credit information system.

Factors influencing the behavior of multi-modal information search

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhiyi Li ◽  
Jiayu Zhu ◽  
Xiaolin Li
Keyword(s):  
Technology Acceptance ◽  
Survey Data ◽  
Structural Equation Model ◽  
Influencing Factors ◽  
Information Search ◽  
Structural Equation ◽  
Equation Model ◽  
Survey Method ◽  
Content Type ◽  
System Characteristics

PurposeWith the increasing abundance of network resources and big data, multi-modal information search (MMIS) has been paid more and more attention, but the research results of MMIS are relatively few. This paper attempts to put forward constructive suggestions for the design of multi-modal information system, so that the system can have a better user experience, help users improve the efficiency of obtaining information and optimize the information service mode.Design/methodology/approachA research model of influencing factors is established by using the TAM (technology acceptance model) theory. The influencing factors of users' multi-modal information search behavior (MMISB) are analyzed by using questionnaire, experiment and the structural equation model. On the basis of this, some suggestions are put forward to build the multi-modal search (MMS) system and improve the efficiency of MMIS.FindingsThe research shows that users' MMISB is directly related to their search intention, and the search intention can influence users' cognition of the usefulness and ease of MMIS through their own information search ability and system characteristics. The user's MMIS ability is affected by the demand expression ability and retrieval ability cognition; the user's cognition of system characteristics is affected by the system function and information quality. This shows that the user's MMISB is closely related to the user's cognitive situation, but due to the author's limited time and research ability, only the questionnaire survey method cannot be used to in-depth research and explore the influencing factors of MMIS. Therefore, in the future research, we should combine the interview method to further track the user's emotional factors and scene factors.Originality/valueFor the first time, TAM theory is combined with cross-modal retrieval behavior and the paper explores the influencing factors and evaluation indexes of users' MMISB. The second, the questionnaire was compiled to investigate the influencing factors of the MMISB of the university group, and the reliability analysis, validity analysis, correlation analysis and structural equation model analysis of the survey data are carried out . The survey data and analysis results are original, which can provide a theoretical basis for improving the service level of MMIS.

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