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Purpose In order to answer which opportunities are better to pursue, the purpose of this paper is to propose and empirically test a decision-making model for evaluating and selecting entrepreneurial opportunities. Design/methodology/approach First, the authors identified common evaluation criteria through a systematic review of 45 high quality articles published in top entrepreneurship and management journals between 2000 and 2017. Second, fuzzy screening technique has been employed to offer the decision-making model. Third, the authors used data of six evaluations provided by five experts at a medium-sized biotech firm to test the model. Findings The study shows that common decision criteria for evaluating entrepreneurial opportunities fall into seven categories. According to these criteria and using fuzzy screening technique, a multi-expert multi-criteria decision-making (ME–MCDM) model has been suggested for evaluating and selecting opportunities. Practical implications This model can be served in situations in which decision makers should select a small number of opportunities among the larger set with regard to opportunity profile and minimal information. More opportunities and more decision makers can be included in the model. When the number of opportunities and decision makers are high, it is possible to use programming for fast, accurate and easy calculation. Originality/value This study is the first systematic review of opportunity evaluation criteria. It is also the first considering opportunity evaluation as a multi-expert decision-making process.

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This paper presents the results of a study on the Performance implications of Entrepreneurial Orientation (EO) at fifteen research centers within three public research and technology institutions (RTIs) in energy industry of Iran. Considering the sensitivity of EO construct to specific contexts, we initially developed a new scale to measure the EO of research centers; and then, investigated its consequences. Different latent interaction and multiple regression techniques were employed to investigate the effects of EO on performance indices of research centers from universalistic and contingency perspectives. It was concluded that EO has the strongest positive effect on financial performance of research centers, when they are dealing with unfavorable environmental conditions.

The technological entrepreneurship ecosystem is a complex set of components and relations that enable the creation and growth of new technology firms. This ecosystem should be clearly defined and evaluated in order to reach its proper establishment. The purpose of this research is twofold. The first is to propose the main components of technological entrepreneurship ecosystem (TEE) and the second is to present some important principles for developing a comprehensive measurement framework of this ecosystem. For the first aim, through the meta-synthesis method, we identified and analyzed 34 related sources that ended in twelve dimensions (governance, capital, culture, talent, etc.). For the second aim, we defined six criteria (complexity, type of measures, design method, etc.) and critically reviewed 18 principal measurement frameworks that can be associated with the TEE. The review implied specific features such as the need to cover all dimensions of the TEE, addressing both input and output indicators, and considering both opinion-based & fact-based measures for the TEE measurement framework.

Many believe that traditional models and traditional theories of identifying and exploiting opportunities in such situations do not have the required efficiency since they act linearly and require nonlinear models to identify and exploit these opportunities. Henceforth, adapting compatible and innovative strategies are necessary to meet the changing needs of customers as well as environmental uncertainties. In this research, while studying existing theories about technological entrepreneurship opportunities, a theoretical gap was studied. The study showed that there are several questions that have not been addressed in existing theories and more research should be done to answer these questions and to fill the theories gap.

Created opportunities are refered as the opportunities in which none of the supply and demand parties exists clearly and obviously one or both of them must be created. Therefore, several economic inventions should take place in marketing, franchising, etc. so that opportunity can be created. This perception of opportunity deals with the creation of new markets. In the meantime, identifying some entrepreneurial actions influencing on the creation of entrepreneurial opportunities can provide backgrounds for the formation and empowering the opportunity creation. In this paper, some basic ideas about the creation of entrepreneurial opportunities and the evolution of opportunity creation theories are examined. Then effective actions on the opportunity creation are identified. Finally, the structure of the investigated actions is examined using the DEMATLE Method. The results which were according to the opinions of 15 experts of entrepreneurship showed that leadership, decision making, and strategy actions influence other entrepreneurial actions.. 2018 by the authors; licensee Growing Science, Canada ©

In the present paper, a comprehensive framework for the strategic analysis of dynamic and complex environments at micro/macro levels with a subjective/objective approach is presented. The research method used in this chapter incorporated the epistemological foundations of critical realism and complexity theory with an inductive-deductive approach. The research has been done quantitatively-qualitatively using Delphi panel and network of experts (n = 241) and AHP method for selecting dimensions. Based on the results extracted, this framework has been obtained from the two “micro-macro” and “objective-subjective” levels and the four fragmented dimensions of micro-objective, micro-subjective, macro-objective, and macro-subjective, with three levels of analysis, so that strategic issues and key challenges can be better recognized and the integrated scanning can be performed purposefully and intelligently by professional organizations consisting of multidisciplinary specialties.