Endang Febrian Khusnul Hidayati; Bagus Sartono; Agus Mohamad Soleh
Volume 20, Issue 2 , April 2022, , Pages 55-65
Abstract
R&D is one of the key drivers of technological progress and contributes to increased productivity and profit growth. Indonesian percentage of Gross Domestic Expenditure on R & R&D (GERD) to GDP in 2018 is one of the Global Competitiveness Index indicators, only reaches 0.28% and is dominated ...
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R&D is one of the key drivers of technological progress and contributes to increased productivity and profit growth. Indonesian percentage of Gross Domestic Expenditure on R & R&D (GERD) to GDP in 2018 is one of the Global Competitiveness Index indicators, only reaches 0.28% and is dominated by the government sector, while the industrial sector is only 7.34%. One of the reasons for this small value is that the data collection of R&D on the business sector in Indonesia has not been carried out optimally. A classification model is needed to determine the data collection target so that the results are more optimal. The main objective of this study is to classify R&D industries actors in Indonesia using XGBoost and then analyze the features for R&D industries actors using SHAP. XGBoost is one of the black-box models that is difficult to interpret, and SHAP is one of the interpretation methods. The classification results using XGBoost obtained the accuracy, AUC, and F1-Score values of 79.61%, 0.7646, and 84.44%, respectively. Based on the Shapley value of the SHAP method, it was found that the average growth in R&D expenditure had the highest contribution. The feature's contribution to the estimation will be even higher if the mean of R&D expenditure growth is higher (more than 0). The other one is the ratio of researchers to R&D human resources. If the ratio is more than 75%, it will negatively contribute. Finally, exports and State-Owned Enterprise (BUMN) feature with the smallest contribution.https://dorl.net/dor/20.1001.1.20088302.2022.20.2.4.9
Tahere Jowkar; Narjes Vara
Volume 18, Issue 1 , February 2020, , Pages 73-91
Abstract
To achieve a sustainable development, each country requires a defined interaction between universities, government and industry. The economic, social and cultural development plans in Iran has emphasized on “accountability of scientific, research and educational centers for social, cultural and industrial ...
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To achieve a sustainable development, each country requires a defined interaction between universities, government and industry. The economic, social and cultural development plans in Iran has emphasized on “accountability of scientific, research and educational centers for social, cultural and industrial demands”. This is obvious also in the field of veterinary science. Also, the collaborations of colleges, organizations and industries in this field can contribute to enhance productivity, providing food security and achieving the goals of the resistance economy. Accordingly, using Triple Helix method, the present research investigates the status of university, government and industry interactions in scientific production of Iranians in the field of veterinary science during 2010-2018. The research population was scientific papers of veterinary science research area, indexed in Islamic World Science Citation Center (ISC) or Web of Science database (WOS) by at least one Iranian author during 2010 - 2018. Also, the interactions between UGI were calculated, using ISI.EXE for coding the affiliations and Shannon’s information theory formulas. The results of the study showed that a very small percentage of articles published in veterinary science are written by non-university researchers or even by co-authorship of university and other sectors of the triple helix. Among bilateral relations, the UG interactions had the highest value. The best years for UGI interactions, were the year 2016 and 2013 for ISC articles and 2010 and 2011 for WOS articles. The results also, showed considering the scientific articles published in internal journals (ISC) have a high positive impact on the T-value of UGI interactions, as ISC trilateral interactions are remarkably better than WOS articles.
Firouzeh Azizi; Fahimeh Moradi
Volume 17, Issue 2 , July 2019
Abstract
The research aims to study the status of Iran in the sub-index of innovation as the main indicator of the knowledge economy and to assess the interactions of the university, industry and government in the research and innovation system of the country. This research takes advantage of the World Bank Knowledge ...
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The research aims to study the status of Iran in the sub-index of innovation as the main indicator of the knowledge economy and to assess the interactions of the university, industry and government in the research and innovation system of the country. This research takes advantage of the World Bank Knowledge Assessment Methodology (KAM) framework to measure the sub-index of innovation and Triple-Helix model to investigate the relationship between university, industry and government in one of the variables of the innovation system. For that purpose, the World Bank's formula for Knowledge Economy Index was employed to measure the sub-index of innovation in Iran's economy from 1996 to 2016. The results of the computation of the innovation sub-index indicate a stable growth in that area for Iran. Subsequently, the Triple-Helix model was used to evaluate the university, industry, and government interactions, illustrating a small contribution of the industrial sector in the country's research areas. The study showed that despite the growth of the innovation index, the interactions of the innovation system components are not desirable and require targeted investment and focused planning strategy.
