Researcher: Mermercioğlu, Melike
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Mermercioğlu, Melike
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Publication Metadata only Design management and innovation in leading Turkish firms(Dokuz Eylül Üniversitesi, 2018) Akpınar, Murat; N/A; Mermercioğlu, Melike; Teaching Faculty; Graduate School of Business; 26591The management of innovation through an effective process is of utmost importance in today’s competitive environment. This research aims to understand the extent to which leading Turkish firms utilize design thinking in facilitating innovations by studying the situation of 24 Turkish companies belonging to Turquality Support Program through a theoretical framework. Based on cluster analysis two distinct models of design management are identified, showing that firms differ in their use of design management practices in facilitating innovations. This research contributes to the emerging field of design management by outlining the situation among leading Turkish firms. / Günümüz rekabetinde öne çıkabilmek için inovasyonun firmalarda etkin bir süreç dahilinde yönetilmesi çok önemlidir. Bu çalışma Türk firmalarında kullanılmakta olan tasarım yönetim modellerinin inovasyon yaratmada nasıl ve ne şekilde uygulandığını irdelemeyi amaçlamaktadır. Bunun için teorik bir çerçeve oluşturularak Turquality Destek Programı dahilindeki 24 firmanın durumu kümelenme analizi ile incelenmiştir. Firmaların inovasyon yaratmak için iki farklı tasarım yönetim modeli kullandıkları tespit edilmiştir. Çalışma öncü Türk firmalarındaki yöntem ve uygulamaları ortaya çıkararak henüz gelişim aşamasında olan tasarım yönetimi alanına katkıda bulunmaktadır.Publication Metadata only Knowledge potential of clusters: a comparative study from Turkey and Finland(Lookus Scientific, 2013) Akpinar, Murat; N/A; Mermercioğlu, Melike; Teaching Faculty; Graduate School of Business; 26591Knowledge-based view recognizes the importance of knowledge as a source of competitive advantage and organizational learning as the underlying process for the creation of such advantage. Clusters have been identified as influential mechanisms to drive innovations through knowledge sharing and knowledge creation activities among cluster members. This study follows these streams of research and aims to assess and benchmark the knowledge potential of two tourism clusters from Turkey and Finland using an adapted version of the emerald model. The bench-marking of the two clusters enables soliciting recommendations for policy makers to improve the knowledge potentials of their clusters.Publication Metadata only Utilizing design in facilitating ınnovations at Turkish firms(Tallinn Univ Press, 2014) Akpinar, Murat; N/A; Mermercioğlu, Melike; Teaching Faculty; Graduate School of Business; 26591In response to the call of the European Commission (2010) this research aims to understand the extent to which leading Turkish firms utilize design thinking in facilitating innovations. A theoretical framework of design management is built based on literature review, and multiple case study methodology is applied in which 20 Turkish companies from a variety sectors are studied through on-site observations and interviews with their managers using the developed framework. Eight models of design capacity were identified based on the empirical study, and results show that firms differ in their use of design management practices in facilitating innovations. This research contributes to the emerging field of design management, building on the works of Kootstra (2009), Heskett & Liu (2012) and Storvang et al. (2013).Publication Metadata only Benchmarking knowledge potentials of clusters: a comparative study in the tourism industry(Inderscience Enterprises Ltd, 2014) Akpinar, Murat; N/A; Mermercioğlu, Melike; Teaching Faculty; Graduate School of Business; 26591Clusters have been identified as influential mechanisms to drive knowledge-based innovations. Despite this acknowledgement, there have not been many attempts to evaluate their knowledge potentials. This is a pioneering study that benchmarks the knowledge potential of two tourism clusters from Finland and Turkey using the emerald model. The study benchmarks the clusters in terms of their educational attractiveness, talent attractiveness, R&D and innovation attractiveness, ownership attractiveness, environmental attractiveness, cluster attractiveness and knowledge dynamics. As a result, the underlying strengths and weaknesses of the two clusters are evaluated and concrete action plans and policy recommendations are generated for the managers of both clusters.Publication Metadata only Assessing the sources of competitiveness of the US states(Emerald Group Publishing Ltd, 2017) Akpinar, Murat; Can, Ozge; N/A; Mermercioğlu, Melike; Teaching Faculty; Graduate School of Business; 26591Purpose - This study aims to test the emerald model on the regional basis for the identification of the most important sources of competitiveness in the states of the US. Design/methodology/approach - Using the emerald model and its assertions, data are collected over the period 1998-2013 from 47 states in the US. Multiple regression analysis is performed with a lag structure of four, six and eight years as alternative time intervals to explain the dependent variable. Findings - The empirical results support the emerald model except for its R&D attractiveness dimension in its ability to explain competitiveness in the states of the US. In the longer term (eight-year lag), cluster attractiveness has the highest impact, followed by environmental attractiveness, ownership attractiveness, educational attractiveness and talent attractiveness. Comparison of regression models with different time lags indicates that once the very early phase is over, the impacts of most attractiveness dimensions become rather consistent across time and do not disappear. Originality/value - The study contributes to the literature on the measurement of regional competitiveness by performing an overall assessment of the emerald model and by analyzing the impacts of the model's dimensions on competitiveness over time. On the other hand, the identification of the sources of regional competitiveness paves the way for a more efficient allocation of resources regarding policies and improvement programs.