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Abstract
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Capital productivity, capital expression network is one of the most important indicators of companies' profitability and ensuring their survival in a competitive market. The optimal value of this productivity index in a company can not only be a reflection of its desirable position, but also encourages investors and financial and credit institutions to participate and provide credit to the company. In the present study, the issue of capital productivity of companies operating in Bushehr province is studied and the factors that promote this index are identified using a neural network. For this purpose, first by reviewing the research literature and surveys of experts, factors affecting capital productivity are identified and then by collecting data related to the companies under study, from the neural network based on the radial function to predict the index. Capital productivity of companies as well as ranking of indicators affecting their capital productivity are used. The results of the research show the high efficiency of the neural network in predicting this index and the most important factors that have a great impact on the capital productivity of companies, including the factors of increasing investment in capital assets, technical progress And identifies technology, demand fluctuations, and funding sources for research and development activities. Blue, Key Success Factors
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