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Journal of Pharmaceutical Innovation

, Volume 14, Issue 1, pp 66–75 | Cite as

Deriving and Assessing Strategic Priorities for Outsourcing Partner Selection in Pharmaceutical R&D: an Approach Using Analytic Hierarchy Process (AHP) Based on 34 Experts’ Responses From Korean Pharmaceutical Industry

  • Chie Hoon SongEmail author
Original Article
  • 73 Downloads

Abstract

Purpose

Despite an increasing proportion of activities along the pharmaceutical R&D value chain being outsourced, little attention has been devoted to examine the factors affecting the outsourcing partner selection process. This paper aims to suggest priorities of influencing factors for maximizing the efficiency in governing outsourcing arrangements.

Methods

This paper adopts the analytic hierarchy process (AHP) based on 34 experts’ responses from Korean pharmaceutical industry to rank a set of different criteria substantial for establishing a new outsourcing relationship. A total of 14 sub-criteria (encompassing a range of task-related and partner-related issues) were identified and used to construct the AHP model. Two different outsourcing scenarios were considered: (1) outsourcing of R&D activities in the early stages of drug discovery and (2) outsourcing of regulatory affairs tasks.

Results

In case of R&D outsourcing, the criterion “Cost-saving potentials” was the most dominant factor affecting the partner selection decision followed by “Commitment” and “Partner compatibility.” In case of outsourcing regulatory affairs task, “Reputation” and “Specialized expertise” were perceived as significant selection criteria.

Conclusions

The study facilitates the process of assessing factors that have a major impact on the outsourcing partner selection. It further contributes to building consensus within the organization and can serve as a reference point for learning about challenges encountered in outsourcing decision. The findings can also provide lessons for other research-intensive industries that have not yet developed their outsourcing activities to the same extent.

Keywords

AHP Outsourcing Partner selection Task-related issues Partner-related issues 

Notes

Acknowledgements

We would like to thank the editors and reviewers of Journal of Pharmaceutical Innovation for their insightful comments and feedback on this research.

Compliance with Ethical Standards

Competing Interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Festel G. Outsourcing chemical synthesis in the drug discovery process. Drug Discov Today. 2011;16:237–43.CrossRefGoogle Scholar
  2. 2.
    Pammolli F, Magazzini L, Riccaboni M. The productivity crisis in pharmaceutical R&D. Nat Rev Drug Discov. 2011;10:428–38.CrossRefGoogle Scholar
  3. 3.
    Kaitin KI. Translational research and the evolving landscape for biomedical innovation. J Investig Med. 2012;60:995–8.CrossRefGoogle Scholar
  4. 4.
    Hemphill TA. US offshore outsourcing of R&D: accommodating firm and national competitiveness perspectives. IOM. 2005;7:351–6.Google Scholar
  5. 5.
    Calantone RJ, Stanko MA. Drivers of outsourced innovation: an exploratory study. J Prod Innov Manag. 2007;24:230–41.CrossRefGoogle Scholar
  6. 6.
    Howells J, Gagliardi D, Malik K. The growth and management of R&D outsourcing: evidence from UK pharmaceuticals. R&D Manag. 2008;38:205–19.CrossRefGoogle Scholar
  7. 7.
    Zhang M, Pawar KS, Shah J, Mehta P. Evaluating outsourcing partners' capability: a case study from the pharmaceutical supply chain. J Manuf Technol Manag. 2013;24:1080–101.CrossRefGoogle Scholar
  8. 8.
    Festel G. The nature of outsourced preclinical research–the example of chemical synthesis. Expert Opin Drug Dis. 2013;8:1049–55.CrossRefGoogle Scholar
  9. 9.
    Chen LH, Hung CC. An integrated fuzzy approach for the selection of outsourcing manufacturing partners in pharmaceutical R&D. Int J Prod Res. 2010;48:7483–506.CrossRefGoogle Scholar
  10. 10.
    Low YS, Halim I, Adhitya A, Chew W, Sharratt P. Systematic framework for Design of Environmentally Sustainable Pharmaceutical Supply Chain Network. J Pharm Innov. 2016;11:250–63.CrossRefGoogle Scholar
  11. 11.
    Govindan K, Rajendran S, Sarkis J, Murugesan P. Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. J Clean Prod. 2015;98:66–83.CrossRefGoogle Scholar
  12. 12.
    Saaty TL. The analytic hierarchy process. New York: McGraw-Hill; 1980.Google Scholar
  13. 13.
    Jeon J, Lee H, Park Y. Implementing technology roadmapping with supplier selection for semiconductor manufacturing companies. Tech Anal Strat Manag. 2011;23:899–918.CrossRefGoogle Scholar
  14. 14.
    Raka C, Liangrokapart J. An analytical hierarchy process (AHP) approach to risk analysis: a case study of a new generic drug development process. J Pharm Innov. 2017;12:319–26.CrossRefGoogle Scholar
  15. 15.
    Dong L, Glaister KW. Motives and partner selection criteria in international strategic alliances: perspectives of Chinese firms. Int Bus Rev. 2006;15:577–600.CrossRefGoogle Scholar
  16. 16.
    Pattit JM, Raj SP, Wilemon DL. The R&D outsourcing decision: environmental factors and strategic considerations. Int J Innov Technol Manag. 2014;11:1450002.CrossRefGoogle Scholar
  17. 17.
    Cohen WM, Levinthal DA. Absorptive capacity: a new perspective on learning and innovation. Adm Sci Q. 1990;35:128–52.CrossRefGoogle Scholar
  18. 18.
    Smith PG, Reinertsen DG. Developing products in half the time: new rules, new tools. New York: Wiley; 1998.Google Scholar
  19. 19.
    Ho W, Xu X, Dey PK. Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur J Oper Res. 2010;202:16–24.CrossRefGoogle Scholar
  20. 20.
    Foxman N. Succeeding in outsourcing: cultivate the outsourcing relationship. Inf Syst Manag. 1994;11:77–80.CrossRefGoogle Scholar
  21. 21.
    Jonsson P, Gustavsson M. The impact of supply chain relationships and automatic data communication and registration on forecast information quality. Int J Phys Distrib Logist Manag. 2008;38:280–95.CrossRefGoogle Scholar
  22. 22.
    Shah RH, Swaminathan V. Factors influencing partner selection in strategic alliances: the moderating role of alliance context. Strateg Manag J. 2008;29:471–94.CrossRefGoogle Scholar
  23. 23.
    Dyer JH, Chu W. The role of trustworthiness in reducing transaction costs and improving performance: empirical evidence from the United States, Japan, and Korea. Organ Sci. 2003;14:57–68.CrossRefGoogle Scholar
  24. 24.
    Dwyer FR, Schurr PH, Oh S. Developing buyer-seller relationships. J Market. 1987;51:11–27.CrossRefGoogle Scholar
  25. 25.
    Datta DK. Organizational fit and acquisition performance: effects of post-acquisition integration. Strateg Manag J. 1991;12:281–97.CrossRefGoogle Scholar
  26. 26.
    Williams RG, Lilley MM. Partner selection for joint-venture agreements. Int J Proj Manag. 1993;11:233–7.CrossRefGoogle Scholar
  27. 27.
    Ganesan S, Malter AJ, Rindfleisch A. Does distance still matter? Geographic proximity and new product development. J Market. 2005;69:44–60.CrossRefGoogle Scholar
  28. 28.
    Hitt MA, Ahlstrom D, Dacin MT, Levitas E, Svobodina L. The institutional effects on strategic alliance partner selection in transition economies: China vs. Russia. Organ Sci. 2004;15:173–85.CrossRefGoogle Scholar
  29. 29.
    Whipple JM, Frankel R. Strategic alliance success factors. J Supply Chain Manag. 2000;36:21–8.CrossRefGoogle Scholar
  30. 30.
    Capaldo A, Petruzzelli AM. Partner geographic and organizational proximity and the innovative performance of knowledge-creating alliances. Eur Manag Rev. 2014;11:63–84.CrossRefGoogle Scholar
  31. 31.
    KDRA. New drug R&D ecosystems of Korean pharmaceutical industry. 2016. http://www.kdra.or.kr/english/03web01.php. Accessed 02 Feb 2018.
  32. 32.
    Ackerman A, Country Report KE. Korea. Pharm Exec. 2015;35:S2–S14.Google Scholar
  33. 33.
    Saaty RW. The analytic hierarchy process - what it is and how it is used. Math Model. 1987;9:161–76.CrossRefGoogle Scholar
  34. 34.
    Nydick RL, Hill RP. Using the analytic hierarchy process to structure the supplier selection procedure. J Supply Chain Manag. 1992;28:31–6.Google Scholar
  35. 35.
    Saaty TL, Vargas LG. Models, methods, concepts & applications of the analytic hierarchy process. 2nd ed. New York: Springer Science & Business Media; 2012.CrossRefGoogle Scholar
  36. 36.
    Hitt MA, Dacin MT, Levitas E, Arregle JL, Borza A. Partner selection in emerging and developed market contexts: resource-based and organizational learning perspectives. Acad Manag J. 2000;43:449–67.Google Scholar
  37. 37.
    Piachaud B. Outsourcing technology. Res Technol Manag. 2005;48:40–6.CrossRefGoogle Scholar
  38. 38.
    Sivakumar R, Kannan D, Murugesan P. Green vendor evaluation and selection using AHP and Taguchi loss functions in production outsourcing in mining industry. Resour Policy. 2015;46:64–75.CrossRefGoogle Scholar
  39. 39.
    Geringer JM. Strategic determinants of partner selection criteria in international joint ventures. J Int Bus Stud. 1991;22:41–62.CrossRefGoogle Scholar
  40. 40.
    Edvardsson RI, Durst S. Outsourcing of knowledge processes: a literature review. J Knowl Manag. 2014;18:795–811.CrossRefGoogle Scholar
  41. 41.
    Tongco MDC. Purposive sampling as a tool for informant selection. Ethnobot Res Appl. 2007;5:147–58.CrossRefGoogle Scholar
  42. 42.
    Nam HJ, An Y. Patent, R&D and internationalization for Korean healthcare industry. Technol Forecast Soc Chang. 2017;117:131–7.CrossRefGoogle Scholar
  43. 43.
    Anderson E, Weitz B. The use of pledges to build and sustain commitment in distribution channels. J Market Res. 1992;29:18–34.CrossRefGoogle Scholar
  44. 44.
    Manotungvorapun N, Gerdsri N. Complementarity vs. compatibility: what really matters for partner selection in open innovation? Int J Trans Innov Sys. 2016;5:122–39.Google Scholar
  45. 45.
    Drago D, Yap M, Ekmekci O. Increasing the odds of effective drug development: elevating regulatory affairs professionals to strategic partners. Clin Res Regul Aff. 2016;33:59–65.CrossRefGoogle Scholar
  46. 46.
    Lai VS, Wong BK, Cheung W. Group decision making in a multiple criteria environment: a case using the AHP in software selection. Eur J Oper Res. 2002;137:134–44.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Research Center for Epigenome Regulation, School of PharmacySungkyunkwan UniversitySuwonRepublic of Korea

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