Document Type : Research Article (Original Article)
Authors
1
PhD candidate of Information Technology Management, Faculty of Management and Accounting, Allameh Tabataba’i University, Tehran, Iran.
2
Professor, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.
3
Professor, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
4
Associate Professor, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, Iran.
Abstract
Research and development (R&D) in business sector has a critical role in knowledgebased economy because it results in commercialization and wealth creation with a high probability. In Iran, the business expenditure on R&D is at a low level because the businesses have no incentive to research or there are some impediments for conducting R&D. Therefore, public intervention and preparing a policy mix to encourage R&D or eliminate its barriers is necessary. In this paper, multi-objective optimization is used to design a policy mix for enhancing the business expenditure on R&D in Iran considering the interactions between policy instruments. Using Genetic Algorithm in MATLAB R2016a Pareto optimums were calculated. The results of implementing the model on a pool of 32 policy instruments show that public procurement for innovative product, support for setting up and handling local consultative funds, tax credits for firms, support for new stock markets, public procurement for R&D, technology foresight, establishing reference laboratory, catalyst procurement for innovative product, and support for R&D consortia are the common instruments among the pareto optimum mixes which have to be considered by policy-makers.
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