Framework for Assessing Technological Innovation Capability in Research and Technology Organizations

Abstract

This study aims to evaluate technology innovation capabilities (TICs) of research and technology organizations (RTOs) by applying Fuzzy-DEMATEL & ANP techniques, in order to provide a practical lookout for their firm’s requirement in this regard. Based on literature review, six main criteria and eighteen sub-criteria are extracted. Fuzzy-DEMATEL is applied to analyze the casual relationships among the criteria and subcriteria. After identifying the relations between the criteria a questionnaire is developed and distributed among sixteen experts to assess the validity of the questionnaire, then the relations are weighted by ANP. It is concluded that proposed model is a comprehensive model that integrates qualitative and quantitative approaches to develop a step by step model to reach to the main TICs criteria in RTOs. Although, there are many previous researches illustrating various models to evaluate TICs, there is no formidable one using these techniques combination. Based on the abilities of the techniques and the results emerged this paper has prepared a robust model available for other RTOs to adopt as a true reference to reach to their TICs.

Evaluating Innovation Capabilities of Real Estate Firms: A Combined Fuzzy Delphi and Dematel Approach

“…Multi Criteria Decision Making (MCDM) methods have the inherent capability and potential to support the subjective evaluation of performance criteria and to make the best decisions even from the most conflicting criteria (Gudienė et al 2014;Mortazavi Ravari et al 2016;Kumar et al 2017;Keshavarz Ghorabaee et al 2018). In the real estate business, MCDM methods are employed in a variety of areas including risk investment (Bispinck 2012;Baležentis et al 2012;Padhi et al 2015;Faraji Sabokbar et al 2016), real estate brokerage service evaluation (Ferreira et al 2017), housing attributes (Thériault et al 2003;Pourahmad et al 2015), quality of life (Sabokbar et al 2016;Kaklauskas et al 2018), security, investor behaviour analysis (Bispinck 2012) and location (Haddad et al 2011).…”

“…De Blasio et al (2015) stated that technological innovation is a key ingredient in building high performance organizations and that robust evaluation of technological innovation capabilities is very important for decision makers. Mortazavi Ravari et al (2016) evaluated the technology innovation capabilities of several research and technology organizations (RTOs). Organizations with a high status of TIC, beyond their innate ability to provide innovative processes or products, have the ability to tackle any sudden changes and to perform well in unexpected situations (Teece et al 1997;Zhao et al 2013;Yang et al 2015;Gupta, Barua 2016).…”

“…,Yam et al (2011),Lin et al (2013), Zandhessami and Jalili(2014), De Blasio et al (2015) Innovation sourcing capability Burgelman et al (2004), Akman and Yilmaz (2008), Wang et al (2008), Perdomo-Ortiz et al (2009), Xiaobo and Sivalogathasan(2013),Kumar and Dash (2017a) Technology acquisition capabilityWoolthuis et al (2005),Guan et al (2006),Chang and Lee (2008), Perdomo-Ortiz et al (2009),Lin et al (2013),Sumrit and Anuntavoranich (2013),Xiaobo and Sivalogathasan (2013),Mortazavi Ravari et al (2016) …”

Guidelines on Designing Conceptual Framework for Strategic Management with Application to the Energy Industry

“…There is not even a firm left that has not faced at least one soft change in the core of its business. For similar cases explaining such changes look at Mortazavi Ravari et al (2016) and Alizadeh et al (2016), which both discuss rather complex and advanced techniques used to help a company in the Iranian energy sector improve its internal process. However, the list of similar publications which are taken from industrial projects goes on and there are many papers aligned with the same aim as this study in the literature.…”

An Evaluation System for University–Industry Partnership Sustainability: Enhancing Options for Entrepreneurial Universities

“…This phenomenon is influenced by different integrated macro-level contexts (e.g., supply and demand, regulations, financing, taxes, culture, tradition, market, climate, political, demographics, and technology). It also depends on various factors on the micro level (e.g., research and innovation performance, transfer and absorptive capability, and technology development) and the meso level (e.g., institutional arrangements, communication networks, and local and indigenous rules) [10][11][12][13][14][15][16]. Salleh and Omar [17] present a review of various models that focus on collaboration management, the formation of a knowledge integration community, and research Garousi et al [21] identify a significant number of themes and best practices in a U-I partnership by thematic analysis.…”