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Relative absorptive capacity: a research profiling

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Abstract

This paper provides the profiling on the ‘relative absorptive capacity of knowledge’ research to provide insights of the field based on data collected from the ISI Web of science database during the years 2001–2010. The analysis is established in three phases, namely, the general publication, the subject area, and the topic profiling. The study obtains patterns, characteristics, and attributes at country, institutions, journals, author, and core reference levels. It shows the increase of the research activity in the field, based on the publication productivity during the years mentioned. Most of these publications are classified in the subject areas of business and economics, engineering, and operations research and management science. We highlight the nascent interest of the computer science subject area as a way to operationalize the different studies conducted. We found a lack of contribution from African and Latin–American countries despite the importance of the field for them. Our results are useful in terms of science strategy, science and technology policy, research agendas, research alliances, and research networks according to the special interest of specific actors at the individual, institutional, and national levels.

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References

  • Abramo, G., D’Angelo, C., & Caprasecca, A. (2009). Allocative efficiency in public research funding: can bibliometrics help? Research Policy, 38(1), 206–215.

    Article  Google Scholar 

  • Ahuja, G. (2000). Collaboration networks, structural holes, and innovation: a longitudinal study. Administrative Science Quarterly, 45, 425–455.

    Article  Google Scholar 

  • Aksnes, D. W., & Taxt, R. E. (2004). Peers reviews and bibliometric indicators: a comparative study at Norwegian University. Research Evaluation, 13(1), 33–41.

    Article  Google Scholar 

  • Arunachalam, S., & Jinandra, D. M. (2000). Mapping international collaboration in science in Asia through coauthorship analysis. Current Science, 79(5), 621–628.

    Google Scholar 

  • Bayer, A. E., & Folger, J. (1996). Some correlates of a citation measure of productivity in science. Sociology of Education, 39(4), 381–390.

    Article  Google Scholar 

  • Braun, T., Schubert, A. P., & Kostoff, R. N. (2000). Growth and trends of fullerene research as reflected in its journal literature. Chemical Reviews, 100(1), 23–38.

    Article  Google Scholar 

  • Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: the case of polymer chemsitry. Scientometrics, 22(1), 155–205.

    Article  Google Scholar 

  • Camisón, C., & Forés, B. (2010). Knowledge absorptive capacity: new insights for its conceptualization and measurement. Journal of Business Research, 63(7), 707–715.

    Article  Google Scholar 

  • Choi, D. G., Lee, H., & Sung, T. (2011). Research profiling for “standardization and innovation”. Scientometrics, 88(1), 259–278.

    Article  Google Scholar 

  • Cohen, W. M., & Levinthal, D. A. (1989). Innovation and learning: the two faces of R & D. The Economic Journal, 99(397), 569–596.

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Culnan, M. J. (1987). Mapping the intellectual structure of MIS, 1980–1985: a co-citation analysis. Management Information Systems Quarterly, 11(3), 341.

    Article  Google Scholar 

  • Dyer, J. H., & Singh, H. (1998). The relational view: cooperative strategy and sources of interorganizational competitive advantage. Academy of Management Review, 23(4), 660–679.

    Google Scholar 

  • Estabrooks, C. A., Winther, C., & Derksen, L. (2004). Mapping the field: a bibliometric analysis of the research utilization literature in nursing. Nursing Research, 53, 293–303.

    Article  Google Scholar 

  • Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178(4060), 471–479.

    Article  Google Scholar 

  • Garfield, E. (1990). Keywords plus-ISIS breakthrough retrieval method. 1. Expanding your searching power on current-contents on diskette. Current Contents, 32, 5–9.

    Google Scholar 

  • Garg, K. C., Kumar, S., & Lal, K. (2006). Scientometric profile of Indian agricultural research as seen through science citation index expanded. Scientometrics, 68(1), 151–166.

    Article  Google Scholar 

  • Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17, 109–122.

    Article  Google Scholar 

  • Guo, Y., Huang, L., & Porter, A. (2010). Research profiling method applied to nano-enhanced, thin film solar cells. R&D Management, 40(2), 195–208.

    Article  Google Scholar 

  • Hamel, G. (1991). Competition for competence and interpartner learning within international strategic alliances. Strategic Management Journal, 12(S1), 83–103.

    Article  Google Scholar 

  • Hawkins, D. T. (1977). Unconventional uses of on-line information retrieval systems: on-line bibliometric studies. Journal of the American Society for Information Science, 28, 13–18.

    Article  Google Scholar 

  • Holsapple, C. W. (2008). The pulse of multiparticipant systems. Journal of Organizational Computing and Electronic Commerce, 18(4), 333–343.

    Article  Google Scholar 

  • Keiser, J., & Utzinger, J. (2005). Trends in the core literature on tropical medicine: a bibliometric analysis from 1952–2002. Scientometrics, 62(3), 351–365.

    Article  Google Scholar 

  • Khanna, T., Gulati, R., & Nohria, N. (1998). The dynamics of learning alliances: competition, cooperation, and relative scope. Strategic Management Journal, 19(3), 193–210.

    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 

  • Lane, P., & Lubatkin, M. (1998). Relative absorptive capacity and interorganizational learning. Strategic Management Journal, 19(5), 461–477.

    Article  Google Scholar 

  • Levinthal, D. A., & March, J. G. (1993). The myopia of learning. Strategic Management Journal, 14, 95–112.

    Article  Google Scholar 

  • Levitt, B., & March, J. G. (1988). Organizational learning. Annual review of sociology, 14, 319–340.

    Article  Google Scholar 

  • Li, L. L., Ding, G., Feng, N., Wang, M. H., & Ho, Y. S. (2009). Global stem cell research trend: bibliometric analysis as a tool for mapping of trends from 1991 to 2006. Scientometrics, 80(1), 39–58.

    Article  Google Scholar 

  • March, J. G. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71–87.

    Article  MathSciNet  Google Scholar 

  • Meier, M. (2011). Knowledge management in strategic alliances: a review of empirical evidence. International Journal of Management Reviews, 13(1), 1–23.

    Article  Google Scholar 

  • Moed, H. F., De Bruin, R. E., Nederhof, A. J., & Tijssen, R. J. W. (1991). International scientific co-operation and awareness within the European community: problems and perspectives. Scientometrics, 21, 291–311.

    Article  Google Scholar 

  • Mowery, D., Oxley, J., & Silverman, B. (1996). Strategic alliances and interfirm knowledge transfer. Strategic Management Journal, 17, 77–91.

    Google Scholar 

  • Nelson, R., & Winter, S. (1982). An evolutionary theory of economic change. Cambridge: The Belknap Press of Harvard University Press.

    Google Scholar 

  • Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: how Japanese companies create the dynamics of innovation. New York: Oxford University Press.

    Google Scholar 

  • Nooteboom, B., Vanhaverbeke, W., Duysters, G., Gilsing, V., & Vandenoord, A. (2007). Optimal cognitive distance and absorptive capacity. Research Policy, 36(7), 1016–1034.

    Article  Google Scholar 

  • Palvia, P., Leary, D., Mao, E., Midha, V., Pinjani, P., & Salam, A. F. (2004). Research methodologies in MIS: an update. Communications of the Association for Information Systems, 14, 526–542.

    Google Scholar 

  • Palvia, P., Mao, E., Salam, A. F., & Soliman, K. S. (2003). Management information systems research: what’s there in a methodology? Communications of the Association for Information Systems, 11, 289–309.

    Google Scholar 

  • Pei, R., & Porter, A. L. (2011). Profiling Leading Scientists in nanobiomedical Science: interdisciplinarity and potential leading indicators of research directions. R&D Management, 41(3), 288–306.

    Article  Google Scholar 

  • Porter, A. L. (2005). QTIP: Quick technology intelligence processes. Technological Forecasting and Social Change, 72(9), 1070–1081.

    Article  Google Scholar 

  • Porter, A. L., Kongthon, A., & Lu, J.-C. (2002). Research profiling: improving the literature review. Scientometrics, 53(3), 351–370.

    Article  Google Scholar 

  • Porter, A. L., & Newman, N. C. (2011). Mining external R&D. Technovation, 31(4), 171–176.

    Article  Google Scholar 

  • Porter, A. L., Schoeneck, D. J., Roessner, D., & Garner, J. (2010). Practical research proposal and publication profiling. Research Evaluation, 19(1), 29–44.

    Article  Google Scholar 

  • Powell, W. W., Koput, K. W., & Smith-doerr, L. (1996). Interorganizational and the collaboration locus of innovation: networks of learning in biotechnology. Administrative Science Quarterly, 41(1), 116–145.

    Article  Google Scholar 

  • Price, D. J. de Solla (1963). Little science, big science. New York: Columbia University Press.

  • Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348–349.

    MathSciNet  Google Scholar 

  • Schoenmakers, W., & Duysters, G. (2006). Learning in strategic technology alliances. Technology Analysis & Strategic Management, 18(2), 245–264. 4.

    Article  Google Scholar 

  • Szulanski, G. (1996). Exploring internal stickiness: impediments to the transfer of best practice within the firm. Strategic Management Journal, 17, 27–43.

    Google Scholar 

  • Volberda, H., Foss, N., & Lyles, M. (2010). Absorbing the concept of absorptive capacity: how to realize its potential in the organization field. Organization Science, 21(4), 931–951.

    Article  Google Scholar 

  • Watts, R., & Porter, L. (2003). R&D cluster quality measures and technology maturity. Technological Forecasting and Social Change, 70(8), 735–758.

    Article  Google Scholar 

  • Yoon, B. (2008). On the development of a technology intelligence tool for identifying technology opportunity. Expert Systems with Applications, 35(1–2), 124–135.

    Article  Google Scholar 

  • Zahra, S. A., & George, G. (2002). Absorptive capacity: a review, reconceptualization, and extension. Academy of Management Review, 27(2), 185–203.

    Google Scholar 

  • Zander, U., & Kogut, B. (1995). Knowledge and the speed of the transfer and imitation of organizational capabilities: an empirical test. Organization Science, 6(1), 76–92.

    Article  Google Scholar 

Download references

Aknowledgments

We thanked Luis E. Becerra, Piedad Arenas, and Edna Bravo for their review and valuable feedback. We thanked to the Universidad Industrial de Santander for it support in the use of specialized analytic tools included in the Strategic Areas Project.

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Authors and Affiliations

  1. Center for Technology and Innovation Management Research—Innotec, Universidad Industrial de Santander, La Perla, Cra 27 Calle 9, Bucaramanga, Colombia

    H. Martinez

  2. Knowledge Transfer Office-UIS, Universidad Industrial de Santander, Vicerrectoría de Investigaciones, Cra 27 Calle 9, Bucaramanga, Colombia

    A. Jaime

  3. Center for Technology and Innovation Management Research—Innotec, Universidad Industrial de Santander, Rectoría, Cra 27 Calle 9, Bucaramanga, Colombia

    J. Camacho

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  1. H. Martinez
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Correspondence to H. Martinez.

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Martinez, H., Jaime, A. & Camacho, J. Relative absorptive capacity: a research profiling. Scientometrics 92, 657–674 (2012). https://doi.org/10.1007/s11192-012-0652-6

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