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Human resources for science and technology: Analyzing competitiveness using the analytic hierarchy process

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  • Chou, Ying-Chyi
  • Hsu, Ying-Ying
  • Yen, Hsin-Yi

Abstract

Technology plays a key role in a country's competitiveness. Traditional analyses of national competitiveness help to understand a country's competitive advantages, but such analyses do not focus on the advantages derived from technology applications. Equally crucial for the survival and growth of a nation's technology are human resources for science and technology (HRST). Therefore, evaluating the HRST of each nation provides key information and is an important topic for research.

Suggested Citation

  • Chou, Ying-Chyi & Hsu, Ying-Ying & Yen, Hsin-Yi, 2008. "Human resources for science and technology: Analyzing competitiveness using the analytic hierarchy process," Technology in Society, Elsevier, vol. 30(2), pages 141-153.
    • Handle: RePEc:eee:teinso:v:30:y:2008:i:2:p:141-153
    DOI: 10.1016/j.techsoc.2007.12.007
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    References listed on IDEAS

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    1. Geisler, E., 1995. "An integrated cost-performance model of research and development evaluation," Omega, Elsevier, vol. 23(3), pages 281-294, June.
    2. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    3. Badri, Masood A., 1999. "Combining the analytic hierarchy process and goal programming for global facility location-allocation problem," International Journal of Production Economics, Elsevier, vol. 62(3), pages 237-248, September.
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    Cited by:

    1. Oleg Georgievich Golichenko & Alina Alekseevna Malkova, 2017. "The Analysis of Processes of New Knowledge Production in Key World Regions and Russia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(4), pages 1133-1145, December.
    2. Kadir Diler Alemdar & Ahmet Tortum & Ömer Kaya & Ahmet Atalay, 2021. "Interdisciplinary Evaluation of Intersection Performances—A Microsimulation-Based MCDA," Sustainability, MDPI, vol. 13(4), pages 1-17, February.
    3. Silvia ISTRATE & Valerica NESTIAN & Maria NEAGU, 2018. "A Company Improvement Analysis using the AHP and the ANP Methods," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 48-59.
    4. Rajak, Manindra & Shaw, Krishnendu, 2019. "Evaluation and selection of mobile health (mHealth) applications using AHP and fuzzy TOPSIS," Technology in Society, Elsevier, vol. 59(C).

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