چكيده به لاتين
Abstract:
In recent years, open innovation has emerged as a new approach in the scientific literature of innovation. In this approach, the principle is based on the exploitation of ideas from inside or outside the organization, and innovation is not limited to the research and development unit within the organization. The existence of this principle leads to the creation of a large number of innovative ideas more than the traditional approach. In the process of implementing this kind of innovation, the assessment step is one of the most important steps. Creating a high number of ideas lead to increases the time of assessment and thus increases the cost of business. Therefore, the researchers suggest that assessment be carried out in two stages of initial assessment and evaluation. At the initial assessment stage, there should be very little time in deciding whether to remove or accept a large number of ideas and projects. Irrational and prejudicial decisions of Assessors at this stage can increase the assessment error. If an error occurs at this stage, and that's why the idea or unsuspecting project is chosen, the business will incur a lot of cost and risk.
In this research, to solve this problem and to reduce the error in the initial assessment process, this process was led to the standardization using the mathematical method of data envelopment analysis. One of the requirements for determining the appropriate model in this method is to identify the criteria, inputs and outputs of the model; therefore, this information was collected through reviewing scientific literature and interviewing experts and internal experts. By using the data envelopment analysis method, in addition to standardizing the initial assessment process, it is also possible to provide an improvement strategy for each of the ideas and projects.
In order to provide a pre-existing improvement strategy in literature, three common approaches have been suggested that in this research, in addition to them, a economies of scale approach has been proposed. In this approach, the increase in input can increase efficiency if the input is less than the value of the scale.
The data envelopment analysis model presented in this study measures the effectiveness of each of the projects and ideas, assessment them and provides an Improvement strategy. This model has been implemented at the Novead Institute and the results show that the output of the model is similar to the results of the examination of ideas and projects by the Assessors.
