Skip to main content
Log in

Facilitators and inhibitors in sector wide technology transfer projects in developing economies: an empirical study

  • Published:
The Journal of Technology Transfer Aims and scope Submit manuscript

Abstract

Achieving success in technology transfer (TT) projects remains a difficult proposition in developing economies. Such projects need to accomplish not only their TT objectives, but also get delivered within schedule and costs. Literature is replete with TT models, analysis of contractual arrangements, governing processes and influencing factors. Earlier studies have conceptualized TT outcome enablers and validated through practitioner surveys. However, studying sector-wide TT programs in their natural settings for developing economies has remained an unexplored area. This study adopted a seven step Grounded Theory methodology, applied inductive and deductive reasoning on open-coded granular case data to derive causal factors. These factors were then classified into facilitators and inhibitors and mapped onto TT outcome enablers. Findings from an independent survey of equipment manufacturers were used to finalize the set of causal factors for TT outcome enablers, which were then taken forward for structural equation modeling (SEM). Inferences drawn from successive SEMs, validated by findings from equipment manufacturer survey, distinguished the dominant TT outcome enabler. Further, it established two significant facilitators and one inhibitor. Insights drawn showed that absorptive capacities of ‘mid-range’ economies may have accelerated thereby beginning to differentiate them from other developing economies. The study findings can provide insights to policy makers and leaders for improving effectiveness of sector-wide TT programs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Acharya, R.C. & Keller, W. (2007). Technology transfer through imports, Cambridge, MA, USA. http://www.nber.org/papers/w13086

  • Archibugi, D., & Pietrobelli, C. (2003). The globalisation of technology and its implications for developing countries. Technological Forecasting and Social Change, 70(9), 861–883.

    Article  Google Scholar 

  • Atkinson, R. (1999). Project management: cost, time and quality, two best guesses and a phenomenon, its time to accept other success criteria. International Journal of Project Management, 17(6), 337–342.

    Article  Google Scholar 

  • Audretsch, D. B., Lehmann, E. E., & Wright, M. (2014). Technology transfer in a global economy. The Journal of Technology Transfer, 39, 301–312.

    Article  Google Scholar 

  • Bar-Zakay, S.N. (1971). Technology transfer model. Technological forecasting and social change, 2(3–4), pp.321–337. http://www.rand.org/pubs/papers/2009/P4509.pdf

  • Bassioni, H., Price, A., & Hassan, T. M. (2004). Performance measurement in construction. Journal of Management in Engineering, 20(2), 42–50.

    Article  Google Scholar 

  • Behrman, J., & Wallander, H. (1976). Transfers of manufacturing technology within multinational enterprises. Cambridge, MA: Ballinger.

    Google Scholar 

  • Benbasat, I., Goldstein, D.K. & Mead, M. (1987). The case research strategy in studies of information systems. MIS Quarterly, 11(3), 369–386.

    Article  Google Scholar 

  • Bernard, A. B., et al. (2003). Plants and productivity in international trade. The American Economic Review, 93(4), 1268–1290.

    Article  Google Scholar 

  • Bozeman, B. (2000). Technology transfer and public policy: A review of research and theory. Research Policy, 29, 627–655.

    Article  Google Scholar 

  • Cohen, W. M., & Levinthal, D. A. (1990). Absorptive Capacity : A new perspective on and innovation learning. Administrative Science Quarterly, 35(1), 128–152.

    Article  Google Scholar 

  • Cooke-Davies, T. (2002). The “real” success factors on projects. International Journal of Project Management, 20(3), 185–190.

    Article  Google Scholar 

  • Cronqvist, L., (2003). Using multi-value logic synthesis in social science. In Second general conference of the European consortium for political research. pp. 1–22.

  • Dahlman, C., & Westphal, L. (1982). Technological effort in industrial development: An interpretative survey of recent research. In F. Stewart & J. James (Eds.), The Economics of new technology in developing countries (pp. 105–137). London and Colorado: Frances Pinter Publishers and Westview Press.

    Google Scholar 

  • Das, G.G. (2007). Does trade and technology transmission facilitate inequality convergence? An inquiry into the role of technology in reducing the poverty of nations. IMF Working Paper, WP/07/16(Jan 2007), pp. 1–38.

  • Davies, A., & Mackenzie, I. (2014). Project complexity and systems integration: Constructing the London 2012 Olympics and Paralympics Games. International Journal of Project Management, 32(5), 773–790.

    Article  Google Scholar 

  • Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal Human-Computer Studies, 45(1), 19–45.

    Article  Google Scholar 

  • Desai, A. V. (1990). Recent technology imports into India: Results of a survey. Development and Change, 21(4), 723–749.

    Article  Google Scholar 

  • Di Benedetto, C. A., Calantone, R. J., & Zhang, C. (2003). International technology transfer: Model and exploratory study in the People’s Republic of China. International Marketing Review, 20(4), 446–462.

    Article  Google Scholar 

  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550.

    Google Scholar 

  • Ganesan, S., & Kelsey, J. (2006). Technology transfer: International collaboration in Sri Lanka. Construction Management and Economics, 24(July), 743–753.

    Article  Google Scholar 

  • Glass, A. J., & Saggi, K. (1998). International technology transfer and the technology gap. Journal of Development Economics, 55, 369–398.

    Article  Google Scholar 

  • Grosse, R. (1996). International technology transfer in services.pdf. Journal of International Business Studies, 27(4), 781–800.

    Article  Google Scholar 

  • Iyer, K. C., & Jha, K. N. (2006). Critical factors affecting schedule performance: Evidence from Indian construction projects. Journal of Construction Engineering and Management, 132(8), 871.

    Article  Google Scholar 

  • Kasahara, H., & Rodrigue, J. (2008). Does the use of imported intermediates increase productivity? Plant-level evidence. Journal of Development Economics, 87(1), 106–118.

    Article  Google Scholar 

  • Kingsley, G., Bozeman, B., & Coker, K. (1996). Technology transfer and absorption: An “R&D value-mapping” approach to evaluation. Research Policy, 25, 967–995.

    Article  Google Scholar 

  • Kingsley, G., & Farmer, M. C. (1997). Using technology absorption as an evaluation criterion: Case studies from a state research and development program. Policy Studies Journal, 25(3), 436–450.

    Article  Google Scholar 

  • Kogut, B., & Zander, U. (1992). Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science, 3(3), 383–397.

    Article  Google Scholar 

  • Kumar, U., Kumar, V., Dutta, S., & Fantazy, K. (2007). State sponsored large scale technology transfer projects in a developing country context. The Journal of Technology Transfer, 32(6), 629–644.

    Article  Google Scholar 

  • Lai, M., Peng, S., & Bao, Q. (2006). Technology spillovers, absorptive capacity and economic growth. China Economic Review, 17(3), 300–320.

    Article  Google Scholar 

  • Malik, K. (2002). Aiding the technology manager: a conceptual model for intra-firm technology transfer. Technovation, 22(7), 427–436.

    Article  Google Scholar 

  • Melitz, M.J. (2002). The impact of trade on intra-industry reallocations and aggregate industry productivity. In NBER Working Paper Series. Working Paper 8881. Cambridge, MA, USA, p. 43.

  • NTPC. (2014). NTPC limited. http://www.ntpc.co.in

  • Phillips, L. A., Calantone, R., & Lee, M. T. (2006). International technology adoption: Behavior structure, demand certainty and culture. Journal of Business and Industrial Marketing, 9(2), 16–28.

    Article  Google Scholar 

  • Radosevic, S. (1999). Technology and modes of technology transfer. International technology transfer and “Catch Up” in economic development (pp. 14–30). Cheltenham: Edward Elgar.

    Google Scholar 

  • Ragin, C. C. (1987). The comparative method: Moving beyond qualitative and quantitative strategies. California: University of California Press.

    Google Scholar 

  • Ragin, C. C. (1998). The logic of qualitative comparative Analysis. International Review of Social History, 43(Supplement), 105–124.

    Article  Google Scholar 

  • Ragin, C. C. (2005). Fuzzy sets and social research. Sociological Methods & Research, 33(4), 423–430.

    Article  Google Scholar 

  • Raz, B., Steinberg, G. & Ruina, A. (1982). A quantitative model of technology transfer and technological “Catch-Up.” (p. 32). Cambridge, MA: Center for International Studies, Massachusetts Institute of Technology. http://dspace.mit.edu/bitstream/handle/1721.1/82971/09237205.pdf?sequence=1.

  • Saad, M., Cicmil, S., & Greenwood, M. (2002). Technology transfer projects in developing countries—Furthering the project management perspectives. International Journal of Project Management, 20(8), 617–625.

    Article  Google Scholar 

  • Schlie, T., Radnor, A., & Wad, A. (1987). Indicators of international technology transfer. In Science and Technology Studies. Evanston: North Western University.

    Google Scholar 

  • Sharif, M. N., & Haq, A. K. M. A. (1980). Evaluating the potentials of technical cooperation among developing countries. Technological Forecasting and Social Change, 16(1), 3–31.

    Article  Google Scholar 

  • Spithoven, A., Clarysse, B., & Knockaert, M. (2010). Building absorptive capacity to organise inbound open innovation in traditional industries. Technovation, 30(2), 130–141.

    Article  Google Scholar 

  • Strauss, A. L., & Corbin, J. M. (1998). Basics of qualitative research: Techniques and procedures for developing Grounded Theory. Thousand Oaks, CA: SAGE Publications.

    Google Scholar 

  • Tatikonda, M. V., & Rosenthal, S. R. (2000). Technology novelty, project complexity, and product development project execution success: A deeper look at task uncertainty in product innovation. IEEE Transactions on Engineering Management, 47(1), 74–87.

    Article  Google Scholar 

  • Toor, S.-R., & Ogunlana, S. O. (2010). Beyond the “iron triangle”: Stakeholder perception of key performance indicators (KPIs) for large-scale public sector development projects. International Journal of Project Management, 28(3), 228–236.

    Article  Google Scholar 

  • UNIDO. (2002). Innovative technology transfer framework linked to trade for UNIDO action (pp.1–64). UNIDO. http://www.unido.org/fileadmin/import/userfiles/hartmany/wssd_tech_transfer.pdf.

  • Waroonkun, T., & Stewart, R. A. (2008). Modeling the international technology transfer process in construction projects: Evidence from Thailand. The Journal of Technology Transfer, 33(6), 667–687.

    Article  Google Scholar 

  • World Bank. (2006). Global integration & technology transfer. In Hoekman, B., & Javorcik, B. S. (Eds.), New York, USA: Palgrave Macmillan.

  • Xu, B. (2000). Multinational enterprises, technology diffusion, and host country productivity growth. Journal of Development Economics, 62, 477–493.

    Article  Google Scholar 

  • Yin, R. K. (2003). Case study research: Design and methods (3rd ed.). Thousand Oaks, CA: SAGE Publications.

    Google Scholar 

Download references

Acknowledgments

The authors wish to acknowledge the support received from Ministry of Statistics and Programme Implementation, Government of India and NTPC Limited for this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Partha S. Banerjee.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Iyer, K.C., Banerjee, P.S. Facilitators and inhibitors in sector wide technology transfer projects in developing economies: an empirical study. J Technol Transf 43, 172–197 (2018). https://doi.org/10.1007/s10961-015-9456-1

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10961-015-9456-1

Keywords

Navigation