IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v87y2014icp245-256.html
   My bibliography  Save this article

Planning innovation orientation in public research and development organizations: Using a combined Delphi and Analytic Hierarchy Process approach

Author

Listed:
  • Meesapawong, Pawadee
  • Rezgui, Yacine
  • Li, Haijiang

Abstract

Planning innovation orientation in public research and development (R&D) organizations presents a number of challenges exacerbated by continuous changes in citizens' social aspirations. These challenges are further amplified by the unstable and complex socio-cultural and socio-organizational characteristics of any developing economy. The paper explores and devises an adapted orientation for future innovation using a combined Delphi and Analytic Hierarchy Process (AHP) approach, applied to a developing country, i.e. Thailand. A set of generic influencing factors for innovation management in public R&D, emerged from a non-country specific review, are refined by a three-round Delphi consultation involving experts from various Thai national research centers. These factors were further utilized to establish an AHP-based model applied to a Thai public R&D organization to investigate impacts of three hypothesized innovation orientations: “knowledge”, “societal” and “commercial”. The AHP-based model reveals that the “commercial orientation” has the highest impact score on innovation factors. However, a sensitivity analysis is conducted as a result of which a suggestion is made to increase the priority of collaboration-related factors to improve the impact of the “societal orientation”. The findings from the combined Delphi and AHP approach have a generic dimension that can be adapted and tested in other contexts.

Suggested Citation

  • Meesapawong, Pawadee & Rezgui, Yacine & Li, Haijiang, 2014. "Planning innovation orientation in public research and development organizations: Using a combined Delphi and Analytic Hierarchy Process approach," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 245-256.
    • Handle: RePEc:eee:tefoso:v:87:y:2014:i:c:p:245-256
    DOI: 10.1016/j.techfore.2013.12.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162514000043
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2013.12.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. P. Intarakumnerd & Cristina Chaminade, 2011. "Innovation policies in Thailand: towards a system of innovation approach?," Asia Pacific Business Review, Taylor & Francis Journals, vol. 17(2), pages 241-256, April.
    2. George A. Boyne, 2002. "Theme: Local Government: Concepts and Indicators of Local Authority Performance: An Evaluation of the Statutory Frameworks in England and Wales," Public Money & Management, Taylor & Francis Journals, vol. 22(2), pages 17-24, April.
    3. Freeman, Christopher & Soete, Luc, 2009. "Developing science, technology and innovation indicators: What we can learn from the past," Research Policy, Elsevier, vol. 38(4), pages 583-589, May.
    4. Crane, Andrew & McWilliams, Abagail & Matten, Dirk & Moon, Jeremy & Siegel, Donald S. (ed.), 2009. "The Oxford Handbook of Corporate Social Responsibility," OUP Catalogue, Oxford University Press, number 9780199573943, Decembrie.
    5. Archibugi, Daniele & Filippetti, Andrea & Frenz, Marion, 2013. "Economic crisis and innovation: Is destruction prevailing over accumulation?," Research Policy, Elsevier, vol. 42(2), pages 303-314.
    6. Cozzarin, Brian P., 2008. "Data and the measurement of R&D program impacts," Evaluation and Program Planning, Elsevier, vol. 31(3), pages 284-298, August.
    7. Isabel Maria Freitas Bodas & Nick von Tunzelmann, 2008. "Mapping public support for innovation: a comparison of policy alignment in the UK and France," Grenoble Ecole de Management (Post-Print) hal-01487464, HAL.
    8. Mowery, David C., 1998. "The changing structure of the US national innovation system: implications for international conflict and cooperation in R&D policy," Research Policy, Elsevier, vol. 27(6), pages 639-654, September.
    9. Rowe, Gene & Wright, George, 1999. "The Delphi technique as a forecasting tool: issues and analysis," International Journal of Forecasting, Elsevier, vol. 15(4), pages 353-375, October.
    10. Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
    11. Isabel Maria Freitas Bodas & Nick von Tunzelmann, 2008. "Mapping public support for innovation: a comparison of policy alignment in the UK and France," Post-Print hal-01487464, HAL.
    12. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    13. Chen, Chung-Jen & Huang, Jing-Wen, 2009. "Strategic human resource practices and innovation performance -- The mediating role of knowledge management capacity," Journal of Business Research, Elsevier, vol. 62(1), pages 104-114, January.
    14. Bodas Freitas, Isabel Maria & von Tunzelmann, Nick, 2008. "Mapping public support for innovation: A comparison of policy alignment in the UK and France," Research Policy, Elsevier, vol. 37(9), pages 1446-1464, October.
    15. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    16. Dominique Guellec & Sacha Wunsch-Vincent, 2009. "Policy Responses to the Economic Crisis: Investing in Innovation for Long-Term Growth," OECD Digital Economy Papers 159, OECD Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chun-Chieh Tseng & Jun-Yi Zeng & Min-Liang Hsieh & Chih-Hung Hsu, 2022. "Analysis of Innovation Drivers of New and Old Kinetic Energy Conversion Using a Hybrid Multiple-Criteria Decision-Making Model in the Post-COVID-19 Era: A Chinese Case," Mathematics, MDPI, vol. 10(20), pages 1-25, October.
    2. Saeed Nosratabadi & Gergo Pinter & Amir Mosavi & Sandor Semperger, 2020. "Sustainable Banking; Evaluation of the European Business Models," Sustainability, MDPI, vol. 12(6), pages 1-19, March.
    3. Carayannis, Elias G. & Goletsis, Yorgos & Grigoroudis, Evangelos, 2018. "Composite innovation metrics: MCDA and the Quadruple Innovation Helix framework," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 4-17.
    4. Saeed Nosratabadi & Gergo Pinter & Amir Mosavi & Sandor Semperger, 2020. "Sustainable Banking; Evaluation of the European Business Models," Papers 2003.13423, arXiv.org.
    5. Linares, Ian Marques Porto & De Paulo, Alex Fabianne & Porto, Geciane Silveira, 2019. "Patent-based network analysis to understand technological innovation pathways and trends," Technology in Society, Elsevier, vol. 59(C).
    6. Lizarralde, Rafael & Ganzarain, Jaione & Zubizarreta, Mikel, 2022. "Adaptation of the MIVES method for the strategic selection of new technologies at an R&D centre. Focus on the manufacturing sector," Technovation, Elsevier, vol. 115(C).
    7. Rafael Lizarralde & Jaione Ganzarain & Mikel Zubizarreta, 2020. "Assessment and Selection of Technologies for the Sustainable Development of an R&D Center," Sustainability, MDPI, vol. 12(23), pages 1-23, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Walid A. Nakara & Karim Messeghem & Andry Ramaroson, 2021. "Innovation and entrepreneurship in a context of poverty: a multilevel approach," Small Business Economics, Springer, vol. 56(4), pages 1601-1617, April.
    2. Paul Robson & Charles Akuetteh & Paul Westhead & Mike Wright, 2012. "Innovative opportunity pursuit, human capital and business ownership experience in an emerging region: evidence from Ghana," Small Business Economics, Springer, vol. 39(3), pages 603-625, October.
    3. Isabel Maria Bodas Freitas & Nick von Tunzelmann, 2013. "Alignment of Innovation Policy Objectives: a demand side perspective," DRUID Working Papers 13-02, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    4. Gupta, Himanshu & Barua, Mukesh Kumar, 2016. "Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 69-79.
    5. Castellacci, Fulvio & Lie, Christine Mee, 2015. "Do the effects of R&D tax credits vary across industries? A meta-regression analysis," Research Policy, Elsevier, vol. 44(4), pages 819-832.
    6. Nawal Abdalla Adam & Ghadah Alarifi, 2021. "Innovation practices for survival of small and medium enterprises (SMEs) in the COVID-19 times: the role of external support," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-22, December.
    7. Foreman-Peck, James & Zhou, Peng, 2023. "Specialisation precedes diversification: R&D productivity effects," Research Policy, Elsevier, vol. 52(7).
    8. Isabel Maria Bodas Freitas & Michiko Iizuka, 2012. "A multi-level analysis of the diffusion of standards compliance in Latin America," Grenoble Ecole de Management (Post-Print) hal-01487512, HAL.
    9. Hernández-Trasobares, Alejandro & Murillo-Luna, Josefina L., 2020. "The effect of triple helix cooperation on business innovation: The case of Spain," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    10. Walid A Nakara & Karim Messeghem & Andry Ramaroson, 2019. "L’innovation produit et service dans un contexte de pauvreté : une analyse multiniveau," Post-Print hal-02519418, HAL.
    11. Isabel Maria Bodas Freitas, 2020. "Mapping variety of innovation strategies sponsored by the policy-mix: an analytical framework and an empirical exploration," Journal of Evolutionary Economics, Springer, vol. 30(3), pages 741-771, July.
    12. Janaina Pamplona da Costa, 2015. "Network (Mis)Alignment, Technology Policy and Innovation: The Tale of Two Brazilian Cities," SPRU Working Paper Series 2015-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. Bodas-Freitas, Isabel-Maria & Corrocher, Nicoletta, 2019. "The use of external support and the benefits of the adoption of resource efficiency practices: An empirical analysis of european SMEs," Energy Policy, Elsevier, vol. 132(C), pages 75-82.
    14. Jing Liu & Mengbo Wang & Xiaoling Kang & Xia Zhang & Xing Chen, 2022. "Seizing the opportunity window of artificial intelligence in China: Towards an innovation policy mix framework for emerging technologies from an evolution perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 397-414, May.
    15. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    16. Karasakal, Esra & Aker, Pınar, 2017. "A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem," Omega, Elsevier, vol. 73(C), pages 79-92.
    17. Chindasombatcharoen, Pongsapak & Chatjuthamard, Pattanaporn & Jiraporn, Pornsit & Treepongkaruna, Sirimon, 2023. "Director age and corporate innovation: Evidence from textual analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    18. Shen, Yung-Chi & Chou, Chiyang James & Lin, Grace T.R., 2011. "The portfolio of renewable energy sources for achieving the three E policy goals," Energy, Elsevier, vol. 36(5), pages 2589-2598.
    19. Hsu, David W.L. & Shen, Yung-Chi & Yuan, Benjamin J.C. & Chou, Chiyan James, 2015. "Toward successful commercialization of university technology: Performance drivers of university technology transfer in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 25-39.
    20. Kajal Chatterjee & Sheikh Ahmed Hossain & Samarjit Kar, 2018. "Prioritization of project proposals in portfolio management using fuzzy AHP," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 478-501, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:87:y:2014:i:c:p:245-256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.