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The study aimed to assess the research productivity of the faculty members in five private colleges in the province of Albay. This study used a multi-method approach in determining the research productivity, factors affecting the research productivity of respondents, and significant agreement on the factors affecting the research productivity of respondents among the private colleges in the province of Albay. A survey questionnaire, document analysis, statistical analysis, and literature review were incorporated. The study found varying levels of research productivity across the institutions. Researchership, institutional support, motivation, leadership practices, and research orientation all notably impact research productivity. The top areas influencing research productivity are time management, research-related development opportunities, and alignment of research agenda with institutional strengths. There is a statistically significant agreement on the factors affecting the research productivity of the respondents. Specific areas for interventions could aim to strengthen leadership practices that provide professional development opportunities, effective time management, research funding, faculty research writing aptitude, and a clear research agenda. A Research Development Program was designed based on the findings of the study. The components of this program are mentorship pairs and collaboration, internal research funding, seminar series, research facilities and resources, and research excellence recognition.

The study aimed to assess the research productivity of the faculty members in five private colleges in the province of Albay. This study used a multi-method approach in determining the research productivity, factors affecting the research productivity of respondents, and significant agreement on the factors affecting the research productivity of respondents among the private colleges in the province of Albay. A survey questionnaire, document analysis, statistical analysis, and literature review were incorporated. The study found varying levels of research productivity across the institutions. Researchership, institutional support, motivation, leadership practices, and research orientation all notably impact research productivity. The top areas influencing research productivity are time management, research-related development opportunities, and alignment of research agenda with institutional strengths. There is a statistically significant agreement on the factors affecting the research productivity of the respondents. Specific areas for interventions could aim to strengthen leadership practices that provide professional development opportunities, effective time management, research funding, faculty research writing aptitude, and a clear research agenda. A Research Development Program was designed based on the findings of the study. The components of this program are mentorship pairs and collaboration, internal research funding, seminar series, research facilities and resources, and research excellence recognition. [ABSTRACT FROM AUTHOR]

This paper proposes a multilevel cybernetic system to evaluate the research development program products, pointing out the decision subsystems acting in the feedback loops and the mode for coordinating their objectives, It also proposes to use a data warehouse to support timely the decisions in each of the basic process of research and development program. [ABSTRACT FROM AUTHOR]

The Korean government has been continuously conducting diverse national R&D programs to discover new growth engines. The Republic of Korea is one of the countries with the largest investment in national R&D, but its efficiency was relatively low. In response, this study established a framework to identify the characteristics and direction of outstanding R&D programs. In this study, the performance of the R&D programs was identified in the sub-program unit. The efficiency of the national R&D program was analyzed using the data envelopment analysis model through the outputs of the national R&D programs such as papers and patents. However, patent and paper output would take time to be realized. Therefore, this study also calculated the diversity index of R&D programs to identify their potential expected performance. This study applied the suggested framework in the electric vehicle fields, which is one of the core growth engines of South Korea. A list of outstanding programs was identified from the National Institute of Science and Technology Information (NTIS) data. Additionally, this study also discovered the main technology areas and their current issues of outstanding and brand-new R&D programs. These results could contribute to suggesting the policy direction to conduct high-performance national R&D programs. [ABSTRACT FROM AUTHOR]