An Innovation Measurement Model Based on THIO Classification: An Automotive Case Study
الموضوعات : Journal of Physical & Theoretical ChemistrySeyed M.J. Mirzapour Al-e-Hashema 1 , Hamed Soleimani 2 , Zeinab Sazvar 3
1 - ESC Rennes School of Business, 2 Rue Robert d'Arbrissel, Rennes, France
2 - Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
3 - Industrial Engineering Department, College of Engineering, University of Tehran, Tehran, Iran
الکلمات المفتاحية: Automobile industry, New product development, Research and Development, THIO Model, Innovation measurement,
ملخص المقالة :
Many criteria have been presented so far for innovation measurement. Presenting the relation between input and output of innovation, completing other criteria and achieving more comprehensive criteria has also been raised. What is of vital importance is the right utilization of these criteria towards measuring innovation. This paper seeks to present a model to measure innovation that, in addition to the simplicity of its perception and measurement method, has an adequate comprehensiveness. The analyses are undertaken through two real case studies in automotive industry in Iran. The results show that Saipa automotive company should concentrate on Info-ware, Orga-ware and Human-ware while Iran-khodro automotive company needs to focus on Info-ware, Orga-ware and Techno-ware aspects to balance the innovation processes.
Adams, R., Bessant, J., & Phelps, R. (2006). Innovation management measurement: A review. International Journal of Management Reviews, 8(1), 21–47. https://doi.org/10.1111/j.1468-2370.2006.00119.x
Altenburg, T., Bhasin, S., & Fischer, D. (2012). Sustainability-oriented innovation in the automobile industry: advancing electromobility in China, France, Germany and India. Innovation and Development, 2(1), 67–85. https://doi.org/10.1080/2157930X.2012.664036
Becheikh, N., Landry, R., & Amara, N. (2006). Lessons from innovation empirical studies in the manufacturing sector: A systematic review of the literature from 1993–2003. Technovation, 26(5), 644–664. https://doi.org/10.1016/j.technovation.2005.06.016
Brown, M. G., & Svenson, R. A. (1988). Measuring R&D Productivity. Research-Technology Management, 31(4), 11–15. https://doi.org/10.1080/08956308.1988.11670531
Cooper, R. G., & Kleinschmidt, E. J. (1995). Benchmarking the Firm’s Critical Success Factors in New Product Development. Journal of Product Innovation Management, 12(5), 374–391. https://doi.org/10.1111/1540-5885.1250374
Cruz-Cázares, C., Bayona-Sáez, C., & García-Marco, T. (2013). You can’t manage right what you can’t measure well: Technological innovation efficiency. Research Policy, 42(6), 1239–1250. https://doi.org/10.1016/j.respol.2013.03.012
Dewangan, V., & Godse, M. (2014). Towards a holistic enterprise innovation performance measurement system. Technovation, 34(9), 536–545. https://doi.org/10.1016/j.technovation.2014.04.002
Flor, M. L., & Oltra, M. J. (2004). Identification of innovating firms through technological innovation indicators: an application to the Spanish ceramic tile industry. Research Policy, 33(2), 323–336. https://doi.org/10.1016/j.respol.2003.09.009
Frishammar, J., Richtnér, A., Brattström, A., Magnusson, M., & Björk, J. (2018). Opportunities and challenges in the new innovation landscape: Implications for innovation auditing and innovation management. European Management Journal. https://doi.org/10.1016/j.emj.2018.05.002
Garcia, R., & Calantone, R. (2002). A critical look at technological innovation typology and innovativeness terminology: a literature review. Journal of Product Innovation Management, 19(2), 110–132. https://doi.org/10.1111/1540-5885.1920110
Gunday, G., Ulusoy, G., Kilic, K., & Alpkan, L. (2011). Effects of innovation types on firm performance. International Journal of Production Economics, 133(2), 662–676. https://doi.org/10.1016/j.ijpe.2011.05.014
Hipp, C., & Grupp, H. (2005). Innovation in the service sector: The demand for service-specific innovation measurement concepts and typologies. Research Policy, 34(4), 517–535. https://doi.org/10.1016/j.respol.2005.03.002
Khalil-Timamy, M. H. (2002). Pursuing technology policy research in sub-Saharan Africa: reflections on the dimensions, applications, and implications of a methodological framework (No. 7). African Technology Policy Studies Network.
Klewitz, J., & Hansen, E. G. (2014). Sustainability-oriented innovation of SMEs: a systematic review. Journal of Cleaner Production, 65, 57–75. https://doi.org/10.1016/j.jclepro.2013.07.017
Muller, A., Välikangas, L., & Merlyn, P. (2005). Metrics for innovation: guidelines for developing a customized suite of innovation metrics. Strategy & Leadership, 33(1), 37–45. https://doi.org/10.1108/10878570510572590
Nieves, J., & Quintana, A. (2018). Human resource practices and innovation in the hotel industry: The mediating role of human capital. Tourism and Hospitality Research, 18(1), 72–83. https://doi.org/10.1177/1467358415624137
OECD. (2015). Frascati Manual 2015, Guidelines for Collecting and Reporting Data on Research and Experimental Development, 44.
OECD, Science, Technology and Industry Scoreboard. (1999). Benchmarking Knowledge-Based Economies, Annex 1, 106.
OECD, Science, Technology and Industry Scoreboard. (2001). Towards a Knowledge-Based Economies, Annex 1.1, 13–139.
Organization for Economic Co-Operation and Development (OECD). (2005). Oslo Manual. Guidelines for collecting and interpreting innovation data (3rd ed.). Paris: OECD publishing.
Rodríguez, A., Nieto, M. J., & Santamaría, L. (2018). International collaboration and innovation in professional and technological knowledge-intensive services. Industry and Innovation, 25(4), 408–431. https://doi.org/10.1080/13662716.2017.1414752
Romijn, H., & Albaladejo, M. (2002). Determinants of innovation capability in small electronics and software firms in southeast England. Research Policy, 31(7), 1053–1067. https://doi.org/10.1016/S0048-7333(01)00176-7
Saunila, M. (2017). Innovation Performance Measurement: A Quantitative Systematic Literature Review. In European Conference on Innovation and Entrepreneurship; Reading (pp. 596–601). Reading, United Kingdom, Reading: Academic Conferences International Limited. Retrieved from https://search.proquest.com/docview/1967762150/abstract/6E470B3F82E14323PQ/1
Serrat, O. (2017). Harnessing Creativity and Innovation in the Workplace. In Knowledge Solutions (pp. 903–910). Springer, Singapore. Retrieved from https://link.springer.com/chapter/10.1007/978-981-10-0983-9_102
Suresh Kumar, S. (2000). Components of Science-Based Innovation Measurements and Their Links to Public Policies, Regional Research Laboratory (CSIR), Trivandrum 695 019, Kerala, India. . Tnological Forecasting and Social Change, 64, 261–269.
Terleckyj, N. (1974). Effect of R&D on Productivity. Washington DC.: Natl. Plg. Association.
Terleckyj, N. (1980). Direct and Indirect Effects of Industrial R&D on the Productivity Growth of Industries, in New Developments in Productivity Measurement & Analysis. Chicago: University of Chicago Press.
The technology atlas team. (1987). A framework for technology based national planning. Technological Forecasting and Social Change, 32(1), 5–18. https://doi.org/10.1016/0040-1625(87)90003-5
United Nation’s Economic and Social Commission for Asia and the Pacific (Unescap) (1989), Technology Atlas Project: A Framework for Technology-Based Development, Banglore, India.
Zaltman, G., & Dubois, B. (1971). New Conceptual Approaches in the Study of Innovation. ACR Special Volumes, SV-01. Retrieved from http://acrwebsite.org/volumes/11979/volumes/sv01/SV-01
