جستجوی مقالات مرتبط با کلیدواژه "innovation evaluation" در نشریات گروه "مدیریت"

Innovation can be a source of competitive advantage for companies. Therefore, recognizing and evaluating innovation in manufacturing and service industries is an effective step to start measuring innovation in these industries. Considering the importance of this issue, it is very important to know key dimensions and indicators to measure these innovations. Hence, the purpose of this research is to address each of the main indicators of organizational innovation and discuss the inherent advantages and disadvantages of their deployment separately. In this research, based on the literature review and the opinions of 15 academic experts and manufacturing industry experts, 10 indicators have been categorized as the most important key indicators of innovation evaluation in three general categories of input, intermediary and output. In order to evaluate and prioritize the most important innovation evaluation indicators, a non-linear quantitative analysis based on hierarchical analysis (Mikhailov's method) was used in a fuzzy environment, and for the analysis of cause and effect relationships, the fuzzy Dimetal method was used. The results show that the presence knowledgeable people and the growth of education are the most important indicators in the evaluation of innovation, and therefore, with special emphasis and attention on these indicators, we can witness an increasing growth in the field of innovation in organizations. The amount of effort to register a patent as well as the number of registered patents are among other important indicators in the field of innovation evaluation, which should be given special support in order to develop innovation in organizations. Also, it was found that the protection of innovation during the growth period is the next priority and can be very important in creating a safe environment as well as increasing the peace of technology people in innovative organizations. The analysis of cause and effect relationships using the Dimtel method also showed that the development of knowledge capital and educated people has the highest impact on other factors, which confirms the hierarchical analysis.

Innovation is one of the factors which can help the organization to meet its goals and also make new and effective strategies for it. Since the innovation will change during the time, this research has done with the aim of presenting a dynamic model in order to improve the innovation evaluation system in the car industry. Two main dimensions of innovation, technological innovation and management innovation were drawn of related researches and key criteria of them were determined. The relations between these criteria were found by surveys, experts’ comments, subject literature, observations and data bases. Finally, the dynamic model of innovation evaluation was presented. This model has a capability of forecasting the behavior of each variable till 2022. The results of this research show that various variables of the model are so sensitive to the changes in R&D budgets in car industry. Thus appropriate changes in R&D budget will result in upgraded innovation level.

Nowadays the efficiency-o7666riented performance evaluation of complex systems be-comes increasingly important for investment and management decisions. This paper proposes a new formulation approach based on dynamic network DEA (DN–DEA) models for multi-period and multi-division (MPMD) systems to measure and decompose the overall efficiency. Although conventional DEA models provide magnificant modeling idea of efficiency measures in the multi-input and -output contexts, they do not account for the multi-division transformation process of decision-making units (DMUs) and present “black-box” measures of their efficiency scores wich causes incorrect estimates of the efficiency points of the units by ignoring the information about the internal operations of the system. As an illustrative case study, the present research applies the proposed approach to evaluate the efficiencies of 13 universities of Iran over the three-year period and the rate of innovation has been measured according to each division, every period, as well as total innovation.

Due to rapid changes of organization environment, competitiveness and ultimate survival of an organization depend on its capability of creating innovation. Innovation can leads to commercial success and market leadership. It also creates value for stakeholders and ultimately causes economic growth and improves life standards. Due to the importance of innovation in organization and its role in survival of an organization in current competitive and dynamic environment, this paper reviews the past researches related to innovation while its main objective is creating a new model to improve the innovation evaluation system in automobile industry. It identifies two main dimensions of innovation which are technological and management innovation. Then key indicators of these two types of innovation and their relationships are extracted. Then comments of technology managers and university professors were collected by questionnaires and interviews. At last, with the approval of the experts, it presents a dynamic model of evaluating innovation in order to help the managers to improve the innovation level in their organization.