A systematic approach to developing national technology policy and strategy for emerging technologies: A case study of nanotechnology for Thailand's agriculture industry

Gerdsri, Pisek; Kocaoglu, Dundar F.

doi:10.1109/picmet.2009.5262211

Cited by 13 publications

(3 citation statements)

References 29 publications

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“…Since its proposal by Kocaoglu [1983], who is now an IEEE Life Fellow, the applicability of HDM has been veri¯ed by many academic publications. Among others, representative ones include resource selection [Wang et al (2010)], target market selection [Sheikh et al (2016)], technology assessment [Alshereef (2017); Gerdsri and Kocaoglu (2009)], and policy assessment [Yildiz (2018); Lingga (2016); Alanazi et al 2015] to name a few. In particular, an HDM communitybased book provides a detailed introduction to the characteristics of HDM with a variety of applications and modi¯cations [Daim and Kocaoglu (2016)].…”

Section: Rational Behind Methodology Selectionmentioning

confidence: 99%

Assessment of Arms Import Policies Using a Hierarchical Decision Model and Expert Judgments: Case Study of South Korean Arms Procurement Organizations

Kim

Sheikh

Stokes

2019

Int. J. Innovation Technol. Management

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Arms import decisions have a significant impact on certain nations. Priorities based on diverse policies are a major cause of conflict and dissent among policy decision makers and practitioners. This is because there are many competing qualitative and quantitative decision elements from varying perspectives. Hence, it has been difficult to compare them and rank their contributions to the final decision. Instead, a common approach has been to make decisions reacting to the situation at hand and on a case by case basis. Another approach is to use a rational decision model and expert judgments to assess arms import policies. For this, a hierarchical decision model (HDM) is used to identify the decision elements. Once a model framework is established many aspects of the results can be studied. In this research, a decision model based on technology, economics, politics, industry, and military (TEPIM) perspectives is developed for assessment of arms import policies. The case of the Republic of Korea is considered. The perspectives and their composite criteria are then ranked using the consensus of panels of experts and decision makers. An important aspect of expert judgment consensus is the management and analysis of disagreements. This study includes hierarchical cluster analyses and MANOVA of the disagreements between the decision makers and practitioners. We have confirmed that the stakeholder arms procurement organizations are guided by their organizational mission and this has an impact on their policy priorities and hence can result in disagreements.

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Section: Rational Behind Methodology Selectionmentioning

confidence: 99%

Assessment of Arms Import Policies Using a Hierarchical Decision Model and Expert Judgments: Case Study of South Korean Arms Procurement Organizations

Kim

Sheikh

Stokes

2019

Int. J. Innovation Technol. Management

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“…Judgment is the key input for many decision analysis models as well as management problems [147]. Delphi is a popular method used in many domains and has become increasingly popular in foresight activities and research studies [160] and agriculture [161].…”

Section: Data Collection Approachmentioning

confidence: 99%

A measurement system for science and engineering research center performance evaluation

Gibson

Daim

2016

2016 Portland International Conference on Management of Engineering and Technology (PICMET)

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“…The extent to which an expert panel is in agreement with their judgment quantification is represented by a disagreement value. There is group disagreement if the disagreement exceeds a value of 0.10 and a value of 0 would imply complete agreement among the experts [172]. The disagreement index is presented in Kocaoglu's work [93] and determined by the following equations:…”

Section: Disagreement and Clusteringmentioning

confidence: 99%

Development of a Technology Transfer Score for Evaluating Research Proposals: Case Study of Demand Response Technologies in the Pacific Northwest

Estep¹

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Investment in Research and Development (R&D) is necessary for innovation, allowing an organization to maintain a competitive edge. The U.S. Federal Government invests billions of dollars, primarily in basic research technologies to help fill the pipeline for other organizations to take the technology into commercialization. However, as Lewis Duncan suggests, it is not about just investing in innovation, it is about converting that research into application. A cursory review I am grateful for my family that endured missed soccer practices and track meets, and delayed vacations so that I could pursue my passion. Craig, Sophia, and Samuel, your tolerance and patience with me are unsurpassed. I am in awe! Of course, there is my extended family in California, Washington, Texas, and Oregon that told me I couldand I did. To my committee members, I appreciate your support, encouragement, and most of all brainstorming with me to narrow my research topic. It resulted in a perfect complement to my work environment. This synergy made my research more meaningful knowing the model can have an immediate impact on how a research portfolio is selected in my organization. Notably Dr. Daimyou willingly agreed to be my chairperson and made yourself available to answer my questions, provide advice, and make opportunities available for me. In addition, you agreed to be my mentor-I respect your input and look forward to your guidance as I move forward in the academic world. While the product is important, it is really the journey that you helped me appreciate. Dr. Kocaoglu, at the time I didn't know how much I would value taking the ETM Decision Making class-it was a tough class and you challenged us. However, vi the way you presented the material, encouraged me to ask questions and to succeed, engaged me more than I realized such that I am using decision modeling as my research methodology. Thank you setting high expectations and accepting nothing less than excellence. Dr. Lutzenhiser and Dr. Kim, I appreciate your input, especially as it pertained to energy related R&Dyour expertise and thoughtful approach to energy topics and to research management was critical to the success of my research. I am thankful for a collaborative work environment and for my manager, Terry Oliver, who encourages creativity and creates a space where there is NEVER a dumb question. I am excited to see how using this model will impact our portfolio. In addition, I am privileged to have access to some of the best practical thinkers on research management. My panels were made up of world-renowned experts who, without a doubt, had a significant impact on the quality of my research. Thank you to those who must remain anonymous. Along the way, I met fabulous students who became friendswe share a common interest in higher learning and a desire to become well-rounded "T-type" people. Good luck on your journeys. I have every confidence that you will be successful. vii

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A systematic approach to developing national technology policy and strategy for emerging technologies: A case study of nanotechnology for Thailand's agriculture industry

Cited by 13 publications

References 29 publications

Assessment of Arms Import Policies Using a Hierarchical Decision Model and Expert Judgments: Case Study of South Korean Arms Procurement Organizations

Assessment of Arms Import Policies Using a Hierarchical Decision Model and Expert Judgments: Case Study of South Korean Arms Procurement Organizations

A measurement system for science and engineering research center performance evaluation

Development of a Technology Transfer Score for Evaluating Research Proposals: Case Study of Demand Response Technologies in the Pacific Northwest

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