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    Developing an assessment model for entrepreneurship ecosystems using Hierarchical Decision Model
    (Elsevier Espana, 2024) Almuzel, Mustafa; Daim, Tugrul U.; Yesilada, Birol; Dabic, Marina; Bolatan, Gulin Idil
    Entrepreneurship is a crucial driver of economic growth, necessitating the development of effective entrepreneurial ecosystems. However, there are significant gaps in the literature regarding the structured assessment of these ecosystems. This study addresses three main research gaps: the lack of structured evaluation methods, the need for a comprehensive analysis of ecosystem challenges from various perspectives, and the identification of critical factors essential for ecosystem growth. To bridge these gaps, the research introduces the Hierarchical Decision Model (HDM) as a universal assessment framework that can be adapted to different cities for creating effective entrepreneurial environments. The research methodology involved formulating perspectives and criteria through literature reviews and expert interviews. These perspectives and criteria were validated by subject matter experts and quantified by other experts to assign relative weights to each. Desirability curves were developed to measure these criteria, scored by experts. The practical applicability of the HDM was demonstrated through a case study of Riyadh, showcasing the model's effectiveness in real-world scenarios. Key findings include the identification and ranking of twenty critical criteria across five main perspectives, along with the development of desirability curves for each criterion. This provides a practical, easy-to-implement evaluation tool for policymakers. The contributions of this research are multifaceted: it introduces HDM to the field of entrepreneurship ecosystem assessment, offers a practical model for ecosystem performance measurement, and presents a framework for policy improvements. Additionally, it highlights the importance of continuous model refinement and the inclusion of diverse case studies for broader validation. Future research should focus on expanding the model to include sub-models for different regions and stages of startups' development, ensuring its ongoing relevance and applicability. The findings show the most effective factors (perspectives and criteria) in developing entrepreneurial ecosystems and provide a method to measure the level of each criterion without requiring deep knowledge of the methodology, making it easier to implement the model in any ecosystem with any experts. The research offers an explicit case study evaluation of Riyadh's entrepreneurial ecosystem and provides recommendations for improvement areas. This study contributes to the technology management body of knowledge, particularly in the context of entrepreneurship ecosystems, presenting a universal assessment model for measuring ecosystem performance in any city. It creates an evaluation and improvement framework for policymakers to develop entrepreneurial ecosystems in their cities, ensuring continuous relevance and practicality through ongoing refinement and diverse case study applications. (c) 2024 The Author(s). Published by Elsevier Espa & ntilde;a, S.L.U. on behalf of Journal of Innovation & Knowledge. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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    Strategic conceptualization and operationalization of digital orientation to support organizational TQM performance
    (Routledge Journals, Taylor & Francis Ltd, 2024) Raj, Rohit; Kumar, Vimal; Bolatan, Gulin Idil; Daim, Tugrul
    A digital orientation in TQM performance brings about numerous advantages, including data-driven decision-making, enhanced efficiency, flexibility, improved customer experience, continuous improvement, effective communication, competitive advantage, and stimulated innovation. This research focuses on bridging the knowledge gap by exploring the connection between organizational TQM performance and the antecedents of digital orientation, considering the lack of empirical research in this domain. Using data gathered from surveys of 310 small to medium-sized IT companies in India, the study evaluates a novel conceptual framework through structural equation modeling (SEM) analysis employing the partial least squares (PLS) technique. The results underscore the importance for businesses to seize the opportunity presented by digital technologies and the ongoing trend of digitalization in their industries. This involves committing to adopting these technologies, taking into account their maturity and intensity, and enhancing digital capabilities to foster resourcefulness and creativity, thereby improving organizational TQM performance. By providing a deeper understanding of pertinent antecedents of digital orientation and how they should be strategically deployed within organizations, this research contributes to the body of knowledge on organizational TQM performance and digital-oriented solutions. The findings reveal a positive impact of digital maturity, digital intensity, and digital ecosystem transformation on organizational TQM performance. Additionally, it is demonstrated that the relationship between organizational TQM performance and digital capability is mediated by digital ecosystem transformation.
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    Technology readiness assessment: Case of clinical decision support systems in healthcare
    (Elsevier Sci Ltd, 2024) Laraichi, Oussama; Daim, Tugrul; Alzahrani, Saeed; Hogaboam, Liliya; Bolatan, Gulin Idil; Moughari, Mahdieh Mokthtari
    Clinical Decision Support Systems (CDSS) play a critical role in modern healthcare by supporting healthcare providers in making well-informed decisions, improving patient safety and outcomes, enhancing efficiency, and promoting evidence-based practices. Their integration into clinical workflows can lead to more effective and patient-centered care. CDSS is essential tools for healthcare organizations as well as for healthcare providers to improve clinical care. However, successful implementation of CDSS can be challenging. Therefore, before implementing CDSS, it is crucial to assess the readiness of healthcare organizations to implement these tools. CDSS is essential tools in healthcare for several compelling reasons. For instance, enhanced patient safety, improved diagnostic accuracy, optimized treatment plans, consistency in care, and support for complex decisions. This study's aim is to develop a model that will help healthcare organizations identify the challenges of implementing CDSS, and to assess their readiness for such an implementation in a comprehensive and multidimensional manner. Through a literature review, the first step of this research explores the concept of clinical decision support and CDSS, discussing their features, characteristics, and organizational hurdles to implementation. It also provides perspectives on CDSS adoption in the context of information systems and health technology. The review helped to identify research gaps, objectives, and questions. To address these gaps and to attempt to answer the research questions, a Hierarchical Decision Model (HDM) is proposed. The model allows us to assess the readiness of healthcare organizations for CDSS implementation. It presents four perspectives and sixteen criteria for a multi-dimensional assessment. The methodology involves expert panels for the HDM model's refinement, validation, and quantification. Two case studies are then presented to demonstrate the HDM model's application to identify real-world CDSS implementation challenges and to provide insights and recommendations. The research contributions are evaluated against the identified gaps in the literature review, with limitations and future research presented. In conclusion, this research provides valuable insights into CDSS implementation readiness assessment and highlights the need for careful consideration and planning. The proposed HDM model offers a valuable framework for healthcare organizations to evaluate their readiness for CDSS implementation.