Abstract
Recent research suggests that firms, particularly in science-based industries, may publish scientific articles in order to achieve strategic goals. This paper explores whether the reputation seen as publications in journals with high impact factors and the impact seen as citations of such scientific publications originating in firms benefit from R&D alliances with different types of partners. Our empirical analysis is based on a unique dataset in pharmaceutical cancer research. We analyze publications originating in biotechnology and pharmaceutical firms, with a comparison of the results to publications that do not involve a firm-based author. Our results indicate that the returns to the number of partners are decreasing and are negative after a turning point. More surprisingly, our results suggest that biotechnology and pharmaceutical firms should focus on establishing R&D alliances with pharmaceutical firms in order to increase the probability of publishing in journals with a high reputation. However, in terms of scientific impact, i.e., forward citations, publications originating in firms do not benefit from having access to different types of alliance partners.
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Notes
It should be noted that biotechnology and pharmaceutical firms can adapt their publication strategy to support their drug candidates under development. Consequently, a large proportion of clinical research has historically remained unpublished. Lee et al. (2008) argue that one reason is that firms are not interested in publishing results that do not support their claims concerning the safety and efficacy of drug candidates and that might negatively affect regulatory authorities’ approval decisions.
While this study focuses on strategic alliances as a form of formal collaborations, it should be noted that more informal forms of collaboration such as co-authorships or other forms of professional interaction may be simultaneously present (Liebeskind et al. 1996). These reinforce and complement formal collaborations, since informal collaborations may increase the likelihood of exchanging valuable knowledge. In addition, informal collaborations provide opportunities to access knowledge that is complementary to the firm’s knowledge base and to knowledge obtained through strategic alliances. It is also possible that individuals use informal collaborations to get access to redundant knowledge that enables them to cross-check and to verify knowledge obtained internally or through strategic alliances.
http://www.biopharminsight.com/index.html. A list of the respective medical indications can be found in Table 6 in the “Appendix”.
We focus on articles published between 2001 and 2008 due to the availability of the alliance data form the ReCap database used to construct independent variables.
It has to be noted that impact factor distributions differ across scientific disciplines. Since our study refers to one disease area, we did not introduce impact factor adjustments.
Using the same time window for all publications in our sample avoids the problem that articles published earlier have more time to receive citations.
Following this rule, alliances reporting, e.g. the Dana–Farber Cancer Institute as an affiliation are assigned to Harvard University as well as articles reporting the affiliation as Harvard Medical School.
Consequently, the different research institutes of the German Max Planck Society are summarized to one institution.
It should be noted that Num. Partners is not necessarily the sum of Num. Academic Partners, Num. Pharma Partners, and Num. Biotech Partners as there is a diverse set of other partner types, such as foundations and non-academic healthcare providers, which are not a focus of this study.
As the computation of marginal effects is based on derivatives, it is not possible to report marginal effects for squared terms.
References
Aksnes, D. W. (2003). Characteristics of highly cited papers. Research Evaluation,12, 159–170. https://doi.org/10.3152/147154403781776645.
Amin, M., & Mabe, M. (2002). Impact factors: use and abuse. Perspectives in Publishing,1(2), 1–6.
Arora, A., Belenzon, S., & Patacconi, A. (2018). The decline of science in corporate R&D. Strategic Management Journal,39, 3–32. https://doi.org/10.1002/smj.2693.
Arora, A., & Gambardella, A. (1994). The changing technology of technological change: general and abstract knowledge and the division of innovative labour. Research Policy,23, 523–532. https://doi.org/10.1016/0048-7333(94)01003-X.
Azoulay, P. (2002). Do pharmaceutical sales respond to scientific evidence? Journal of Economics & Management Strategy,11, 551–594. https://doi.org/10.1111/j.1430-9134.2002.00551.x.
Azoulay, P., Graff Zivin, J. S., & Wang, J. (2010). Superstar extinction. The Quarterly Journal of Economics,125, 549–589. https://doi.org/10.1162/qjec.2010.125.2.549.
Balter, W., Skelton, M., & Safir, P. (2003). The p’s and q’s of publication planning. Pharmaceutical Executive,23(5), 130–136.
Barrett, B. (2002). Defensive use of publications in an intellectual property strategy. Nature Biotechnology,20, 19. https://doi.org/10.1038/nbt0202-191.
Bekkers, R., & Bodas Freitas, I. M. (2008). Analysing knowledge transfer channels between universities and industry: to what degree do sectors also matter? Research Policy,37, 1837–1853. https://doi.org/10.1016/j.respol.2008.07.007.
Belderbos, R., Carree, M., & Lokshin, B. (2004). Cooperative R&D and firm performance. Research Policy,33, 1477–1492. https://doi.org/10.1016/j.respol.2004.07.003.
Bikard, M. (2018). Made in academia: The effect of institutional origin on inventors’ attention to science. Organization Science,29, 818–836. https://doi.org/10.1287/orsc.2018.1206.
Bornmann, L., & Haunschild, R. (2017). Does evaluative scientometrics lose its main focus on scientific quality by the new orientation towards societal impact? Scientometrics,110, 937–943. https://doi.org/10.1007/s11192-016-2200-2.
Cameron, A. C., & Trivedi, P. K. (1990). Regression-based tests for overdispersion in the poisson model. Journal of Econometrics,46, 347–364. https://doi.org/10.1016/0304-4076(90)90014-K.
Chen, S.-H., & Lin, W.-T. (2017). The dynamic role of universities in developing an emerging sector: A case study of the biotechnology sector. Technological Forecasting and Social Change,123, 283–297. https://doi.org/10.1016/j.techfore.2016.06.006.
Cockburn, I. M., & Henderson, R. M. (1998). Absorptive capacity, co-authoring behavior, and the organization of research in drug discovery. The Journal of Industrial Economics,46, 157–182. https://doi.org/10.1111/1467-6451.00067.
Cohen, W. M., Nelson, R. R., & Walsh, J. P. (2002). Links and impacts: The influence of public research on industrial R&D. Management Science,48, 1–23. https://doi.org/10.1287/mnsc.48.1.1.14273.
Cole, S. (1989). Citations and the evaluation of individual scientists. Trends in Biochemical Sciences,14, 9–13. https://doi.org/10.1016/0968-0004(89)90078-9.
Cozzens, S. E. (1989). What do citations count? The rhetoric-first model. Scientometrics,15, 437–447. https://doi.org/10.1007/BF02017064.
de Moya-Anegón, F., López-Illescas, C., & Moed, H. F. (2014). How to interpret the position of private sector institutions in bibliometric rankings of research institutions. Scientometrics,98, 283–298. https://doi.org/10.1007/s11192-013-1087-4.
Deeds, D. L., & Hill, C. W. L. (1996). Strategic alliances and the rate of new product development: An empirical study of entrepreneurial biotechnology firms. Journal of Business Venturing,11, 41–55. https://doi.org/10.1016/0883-9026(95)00087-9.
DiMasi, J. A., Grabowski, H. G., & Hansen, R. W. (2016). Innovation in the pharmaceutical industry: New estimates of R&D costs. Journal of Health Economics,47, 20–33. https://doi.org/10.1016/j.jhealeco.2016.01.012.
Faems, D., van Looy, B., & Debackere, K. (2005). Interorganizational collaboration and innovation: Toward a portfolio approach. Journal of Product Innovation Management,22, 238–250. https://doi.org/10.1111/j.0737-6782.2005.00120.x.
Foster, J. G., Rzhetsky, A., & Evans, J. A. (2015). Tradition and innovation in scientists’ research strategies. American Sociological Review,80, 875–908. https://doi.org/10.1177/0003122415601618.
Garfield, E. (2006). The history and meaning of the journal impact factor. JAMA,295, 90–93. https://doi.org/10.1001/jama.295.1.90.
Gazni, A., & Didegah, F. (2011). Investigating different types of research collaboration and citation impact: A case study of Harvard University’s Publications. Scientometrics,87, 251–265. https://doi.org/10.1007/s11192-011-0343-8.
George, G., Zahra, S. A., & Wood, D. R., Jr. (2002). The effects of Business-University alliances on innovative output and financial performance: A Study of publicly traded biotechnology companies. Journal of Business Venturing,17, 577–609. https://doi.org/10.1016/S0883-9026(01)00069-6.
Gittelman, M., & Kogut, B. (2003). Does good science lead to valuable knowledge? Biotechnology firms and the evolutionary logic of citation patterns. Management Science,49, 366–382. https://doi.org/10.1287/mnsc.49.4.366.14420.
Glänzel, W., & Schubert, A. (2001). Double effort = Double impact? A critical view at international co-authorship in chemistry. Scientometrics,50, 199–214. https://doi.org/10.1023/A:1010561321723.
Graham, L. J. (2008). Rank and file: assessing research quality in Australia. Educational Philosophy and Theory,40, 811–815. https://doi.org/10.1111/j.1469-5812.2008.00478.x.
Grant, R. M., & Baden-Fuller, C. (2004). A knowledge accessing theory of strategic alliances. Journal of Management Studies,41, 61–84. https://doi.org/10.1111/j.1467-6486.2004.00421.x.
Haeussler, C., & Sauermann, H. (2016). The division of labor in teams: A conceptual framework and application to collaborations in science. NBER Working Paper. https://doi.org/10.3386/w22241.
Hamilton, K. S. (2003). Subfield and Level Classification of Journals. CHI Research Inc, CHI No. 2012-R.
Hicks, D. (1995). Published papers, tacit competencies and corporate management of the public/private character of knowledge. Industrial and Corporate Change,4, 401–424. https://doi.org/10.1093/icc/4.2.401.
Inkpen, A. (1998a). Learning, knowledge acquisition, and strategic alliances. European Management Journal,16, 223–229. https://doi.org/10.1016/S0263-2373(97)00090-X.
Inkpen, A. C. (1998b). Learning and knowledge acquisition through international strategic alliances. The Academy of Management Executive,12, 69–80. https://doi.org/10.5465/AME.1998.1333953.
International Agency for Research on Cancer. (2014). World Cancer Report 2014 : WHO Press, Geneva.
Katz, J. S., & Martin, B. R. (1997). What is research collaboration? Research Policy,26, 1–18. https://doi.org/10.1016/S0048-7333(96)00917-1.
Kim, D. H. (1993). The link between individual and organizational learning. MIT Sloan Management Review,35(1), 37–50.
Kogut, B., & Zander, U. (1992). Knowledge of the firm, combinative capabilities, and the replication of technology. Organization Science,3, 383–397. https://doi.org/10.1287/orsc.3.3.383.
Lee, K., Bacchetti, P., & Sim, I. (2008). Publication of clinical trials supporting successful new drug applications: A literature analysis. PLoS Medicine,5, e191. https://doi.org/10.1371/journal.pmed.0050191.
Liebeskind, J. P., Oliver, A. L., Zucker, L., & Brewer, M. (1996). Social networks, learning, and flexibility: Sourcing scientific knowledge in new biotechnology firms. Organization Science,7, 428–443. https://doi.org/10.1287/orsc.7.4.428.
Lind, J. T., & Mehlum, H. (2010). With or without U? The appropriate test for a u-shaped relationship. Oxford Bulletin of Economics and Statistics,72, 109–118. https://doi.org/10.1111/j.1468-0084.2009.00569.x.
Lozano, G. A., Larivière, V., & Gingras, Y. (2012). The weakening relationship between the impact factor and papers’ citations in the digital age. Journal of the American Society for Information Science and Technology,63, 2140–2145. https://doi.org/10.1002/asi.22731.
McKelvey, M. (1996). Evolutionary innovations: The business of biotechnology. Oxford: Oxford University Press.
McKelvey, M., Orsenigo, L., & Pammolli, F. (2004a). Pharmaceuticals analyzed through the lens of a sectoral innovation system. In F. Malerba (Ed.), Sectoral systems of innovation: Concepts, issues and analyses of six major sectors in Europe (pp. 73–120). Cambridge: Cambridge University Press.
McKelvey, M., & Rake, B. (2016). Product innovation success based on cancer research in the pharmaceutical industry: Co-publication networks and the effects of partners. Industry and Innovation. https://doi.org/10.1080/13662716.2016.1150157.
McKelvey, M., Rickne, A., & Laage-Hellman, J. (2004b). The economic dynamics of modern biotechnology. Cheltenham and Northhampton: Edward Elgar Publishing Ltd.
McMillan, G., Narin, F., & Deeds, L. (2000). An analysis of the critical role of public science in innovation: the case of biotechnology. Research Policy,29, 1–8. https://doi.org/10.1016/S0048-7333(99)00030-X.
Merton, R. K. (1973). The sociology of science: Theoretical and empirical investigations. Chicago: University of Chicago Press.
Nonaka, I. (1994). A dynamic theory of organizational knowledge creation. Organization Science,5, 14–37. https://doi.org/10.1287/orsc.5.1.14.
Nonaka, I., & Toyama, R. (2002). A firm as a dialectical being: Towards a dynamic theory of a firm. Industrial and Corporate Change,11, 995–1009. https://doi.org/10.1093/icc/11.5.995.
Nonaka, I., von Krogh, G., & Voelpel, S. (2006). Organizational knowledge creation theory: Evolutionary paths and future advances. Organization Studies,27, 1179–1208. https://doi.org/10.1177/0170840606066312.
Perkmann, M., & Walsh, K. (2009). The two faces of collaboration: Impacts of university-industry relations on public research. Industrial and Corporate Change,18, 1033–1065. https://doi.org/10.1093/icc/dtp015.
Pharmaceutical Executive. (2009). The Pharma Exec 50. http://www.pharmexec.com/node/224081.
Phelps, C., Heidl, R., & Wadhwa, A. (2012). Knowledge, networks, and knowledge networks: A review and research Agenda. Journal of Management,38, 1115–1166. https://doi.org/10.1177/0149206311432640.
Pisano, G. P. (2006). Can science be a business? Lessons from Biotech. Harvard Business Review,84(10), 114–125.
Polidoro, F., & Theeke, M. (2012). Getting competition down to a science: The effects of technological competition on firms’ scientific publications. Organization Science,23, 1135–1153. https://doi.org/10.1287/orsc.1110.0684.
Rafols, I., Hopkins, M. M., Hoekman, J., Siepel, J., O’Hare, A., Perianes-Rodríguez, A., et al. (2014). Big pharma, little science?: A bibliometric perspective on big pharma’s R&D decline. Technological Forecasting and Social Change,81, 22–38. https://doi.org/10.1016/j.techfore.2012.06.007.
Rake, B. (2019). Do publication activities of academic institutions benefit from formal collaborations with firms? Innovation. https://doi.org/10.1080/14479338.2019.1679024.
Rosenkopf, L., & Almeida, P. (2003). Overcoming local search through alliances and mobility. Management Science,49, 751–766. https://doi.org/10.1287/mnsc.49.6.751.16026.
Rothaermel, F. T. (2000). Technological discontinuities and the nature of competition. Technology Analysis & Strategic Management,12, 149–160. https://doi.org/10.1109/TEM.2002.806725.
Rothaermel, F. T. (2001). Complementary assets, strategic alliances, and the incumbent’s advantage: An empirical study of industry and firm effects in the biopharmaceutical industry. Research Policy,30, 1235–1251. https://doi.org/10.1016/S0048-7333(00)00142-6.
Rothaermel, F. T., & Alexandre, M. T. (2009). Ambidexterity in technology sourcing: The moderating role of absorptive capacity. Organization Science,20, 759–780. https://doi.org/10.1287/orsc.1080.0404.
Schilling, M. A. (2009). Understanding the alliance data. Strategic Management Journal,30, 233–260. https://doi.org/10.1002/smj.731.
Schilling, M. A., & Green, E. (2011). Recombinant search and breakthrough idea generation: An analysis of high impact papers in the social sciences. Research Policy,40, 1321–1331. https://doi.org/10.1016/j.respol.2011.06.009.
Simeth, M., & Cincera, M. (2015). Corporate science, innovation, and firm value. Management Science,62, 1970–1981. https://doi.org/10.1287/mnsc.2015.2220.
Sismondo, S. (2009). Ghosts in the machine: Publication planning in the medical sciences. Social Studies of Science,39, 171–198. https://doi.org/10.1177/0306312708101047.
Soh, P.-H., & Subramanian, A. M. (2014). When do firms benefit from university-industry R&D collaborations? The implications of firm R&D focus on scientific research and technological recombination. Journal of Business Venturing,29, 807–821. https://doi.org/10.1016/j.jbusvent.2013.11.001.
Stephan, P. E. (1996). The economics of science. Journal of Economic Literature,34(3), 1199–1235.
Stuart, T. E. (2000). Interorganizational alliances and the performance of firms: A study of growth and innovation rates in a high-technology industry. Strategic Management Journal,21, 791–811. https://doi.org/10.1002/1097-0266(200008)21:8%3c791:AID-SMJ121%3e3.0.CO;2-K.
Stuart, T. E., Ozdemir, S. Z., & Ding, W. W. (2007). Vertical alliance networks: The case of university-biotechnology-pharmaceutical alliance chains. Research Policy,36(4), 477–498. https://doi.org/10.1016/j.respol.2007.02.016.
Tijssen, R. J. W. (2009). Measuring the corporate web of science: Research and partnership networks within the European pharmaceutical industry. In F. Malerba & N. S. Vonortas (Eds.), Innovation networks in industries (pp. 81–104). Cheltenham and Northhampton: Edward Elgar Publishing Ltd.
Vanclay, J. K. (2011). An evaluation of the Australian research council’s journal ranking. Journal of Informetrics,5, 265–274. https://doi.org/10.1016/j.joi.2010.12.001.
Vasudeva, G., & Anand, J. (2011). Unpacking absorptive capacity: A study of knowledge utilization from alliance portfolios. Academy of Management Journal,54, 611–623. https://doi.org/10.5465/AMJ.2011.61968108.
Veugelers, R., & Wang, J. (2019). Scientific novelty and technological impact. Research Policy,48, 1362–1372. https://doi.org/10.1016/j.respol.2019.01.019.
Xie, P. (2015). Study of international anticancer research trends via co-word and document co-citation visualization analysis. Scientometrics,105, 611–622. https://doi.org/10.1007/s11192-015-1689-0.
Zhang, L., & Wang, J. (2018). Why highly cited articles are not highly tweeted? A biology case. Scientometrics,117, 495–509. https://doi.org/10.1007/s11192-018-2876-6.
Acknowledgements
We thank Matthew J. Higgins for helping us with the ReCap alliance data. We thank Guido Buenstorf, Pablo D’Este, Mark Flynn, Carolin Haeussler, Daniel Ljungberg, Bart van Looy, Elena Mas Tur, Toke Reichstein, Joachim Schnurbus, the participants of the Brown Bag Seminar at the University of Passau in June 2014, the participants of the 15th ISS Conference in Jena, Germany, the participants of the research seminar at INGENIO, Polytechnic University of Valencia in September 2014, the participants of the Workshop “Innovation and Entrepreneurship in Health Care & Life Sciences” in Gothenburg, Sweden in December 2014, the participants of the 75th Annual Meeting of the Academy of Management in Vancouver, Canada, as well as the participants of the conference on “Deciphering the New Challenges to Universities” in Gothenburg, Sweden in September 2017 for their valuable feedback and their expressed interests and concerns. The usual caveats apply. We acknowledge funding from the Sten A. Olsson Foundation for Research and Culture in supporting the research program ‘Radical Innovation for Enhancing Swedish Competitiveness”, led by Professor McKelvey. Professor McKelvey acknowledges funding from the Swedish Research Council, Research Programme: “Knowledge-intensive Entrepreneurial Ecosystems: Transforming society through knowledge, innovation and entrepreneurship”, VR DNR 2017-03360.
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McKelvey, M., Rake, B. Exploring scientific publications by firms: what are the roles of academic and corporate partners for publications in high reputation or high impact journals?. Scientometrics 122, 1323–1360 (2020). https://doi.org/10.1007/s11192-020-03344-5
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DOI: https://doi.org/10.1007/s11192-020-03344-5
Keywords
- Research reputation
- Research impact
- Strategic alliances
- Bio-pharmaceutical firms
- Corporate publications
- Research collaboration