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Intellectual Capital and Boundary-Crossing Management Knowledge

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Knowledge Science, Engineering and Management (KSEM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9983))

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Abstract

Exploring how the intellectual capital (i.e., the capability of system, coordination, and socialization, and the human capital) influences the boundary-crossing management knowledge (i.e., the syntactic transfer, semantic translation, and pragmatic transformation), this study identifies differing effects for three dimensions of boundary-crossing management knowledge. The results indicate that the coordination capability primarily enhances a team’s syntactic transfer, semantic translation, and pragmatic transformation. The socialization capability primarily improves a team’s semantic translation and pragmatic transformation. Our findings reveal why teams may have difficulty managing levels of syntactic transfer, semantic translation, and pragmatic transformation and vary in their ability to create value from their boundary capability.

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References

  1. Carlile, P.R.: Transferring, translating, and transforming: an integrative framework for managing knowledge across boundaries. Organ. Sci. 15(5), 555–568 (2004)

    Article  Google Scholar 

  2. Subramaniam, M., Youndt, M.A.: The influence of intellectual capital on the types of innovative capabilities. Acad. Manag. J. 48(3), 450–463 (2005)

    Article  Google Scholar 

  3. Jansen, J.J., Van Den Bosch, F.A., Volberda, H.W.: Managing potential and realized absorptive capacity: how do organizational antecedents matter? Acad. Manag. J. 48(6), 999–1015 (2005)

    Article  Google Scholar 

  4. Gardner, H.K., Gino, F.: Dynamically integrating knowledge in teams: transforming resources into performance. Acad. Manag. J. 55(4), 998–1022 (2012)

    Article  Google Scholar 

  5. Van Den Bosch, F.A.J., Volberda, H.W., De Boer, M.: Coevolution of firm absorptive capacity and knowledge environment: organizational forms and combinative capabilities. Organ. Sci. 10, 551–568 (1999)

    Article  Google Scholar 

  6. Weick, K.E.: The Social Psychology of Organizing. Addison-Wesley, Reading (1979)

    Google Scholar 

  7. Grant, R.M.: prospering in dynamically-competitive environments: organizational capability as knowledge creation. Organ. Sci. 7, 375–387 (1996)

    Article  Google Scholar 

  8. Lin, X., Germain, R.: Organizational structure, context, customer orientation, and performance: lessons from Chinese state-owned enterprises. Strateg. Manag. J. 24, 1131–1151 (2003)

    Article  Google Scholar 

  9. Noe, R.A.: Employee Training and Development. Irwin/McGraw-Hill, Boston (1999)

    Google Scholar 

  10. Nahapiet, J., Ghoshal, S.: Social capital, intellectual capital, and the organizational advantage. Acad. Manag. Rev. 23, 242–266 (1998)

    Google Scholar 

  11. Rerup, C., Feldman, M.S.: Routines as a source of change in organizational schemata: the role of trial-and-error learning. Acad. Manag. J. 54(3), 577–610 (2011)

    Article  Google Scholar 

  12. Nelson, R.R., Winter, S.J.: An Evolutionary Theory of Economic Change. Harvard University Press, Cambridge (1982)

    Google Scholar 

  13. Cohen, M.D., Burkhart, R., Dosi, G., Egidi, M., Marengo, L., Warglien, M., Winter, S.: Contemporary issues in research on routines and other recurring action patterns of organizations. Ind. Corp. Change 5, 653–698 (1996)

    Article  Google Scholar 

  14. Galunic, D.C., Rodan, S.: Resource recombinations in the firm: knowledge structures and the potential for schumpeterian innovation. Strategic Manag. J. 19, 1193–1201 (1998)

    Article  Google Scholar 

  15. Gupta, A.K., Govindarajan, V.: Knowledge flows within multinational corporations. Strategic Manag. J. 21, 473–496 (2000)

    Article  Google Scholar 

  16. Henderson, R., Cockburn, I.: Measuring competence? Exploring firm effects in pharmaceutical research. Strateg. Manag. J. 15, 63–84 (1994)

    Article  Google Scholar 

  17. Cohen, W., Levinthal, D.: Absorptive capacity: a new perspective on learning and innovation. Adm. Sci. Q. 35, 128–152 (1990)

    Article  Google Scholar 

  18. Collins, C.J., Smith, K.G.: Knowledge exchange and combination: the role of human resource practices in the performance of high-technology firms. Acad. Manag. J. 49(3), 544–560 (2006)

    Article  Google Scholar 

  19. Armstrong, J.S., Overton, T.S.: Estimating nonresponse bias in mail surveys. J. Mark. Res. 14(3), 396–402 (1977)

    Article  Google Scholar 

  20. Bagozzi, R.P., Fornell, C.: Theoretical concepts, measurement, and meaning. In: Fornell, C. (ed.) A Second Generation of Multivariate Analysis. Praeger, New York (1982)

    Google Scholar 

  21. Bailey, K.D.: Methods of Social Research. Free Press, New York (1987)

    Google Scholar 

  22. Barclay, D., Higgins, C., Thompson, R.: The partial least squares approach (PLS) to causal modeling, personal computer adoption and use as an illustration. Technol. Stud. 2(2), 285–309 (1995)

    Google Scholar 

  23. Bollen, K., Lennox, R.: Conventional wisdom on measurement: a structural equation perspective. Psychol. Bull. 110(2), 305–314 (1991)

    Article  Google Scholar 

  24. Campbell, D.T., Fiske, D.W.: Convergent and discriminant validation by the multi-trait–multi-method matrix. Psychol. Bull. 56(2), 81–105 (1959)

    Article  Google Scholar 

  25. Chin, W.W.: The partial least squares approach for structural equation modeling. In: Marcoulides, G.A. (ed.) Methodology for Business and Management, pp. 295–336. Lawrence Erlbaum Associates, Mahwah (1998)

    Google Scholar 

  26. Chin, W.W.: The PLS approach to SEM. In: Marcoulides, G.A. (ed.) Modern Methods for Business Research, pp. 295–336. Erlbaum, Mahwah (1998)

    Google Scholar 

  27. Diamantopoulos, A., Siguaw, J.A.: Formative versus reflective indicators in organizational measure development: a comparison and empirical illustration. Br. J. Manag. 17(4), 263–282 (2006)

    Article  Google Scholar 

  28. Diamantopoulos, A., Winklhofer, H.M.: Index construction with formative indicators: an alternative to scale development. J. Mark. Res. 38(2), 269–277 (2001)

    Article  Google Scholar 

  29. Fornell, C., Larcker, D.F.: Evaluating structural equations with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)

    Article  Google Scholar 

  30. Gefen, D., Rigdon, E.E., Straub, D.: An update and extension to SEM guidelines for administrative and social science research. MIS Q. 35(2), iii–xiv (2011)

    Google Scholar 

  31. Podsakoff, P.M., Organ, D.W.: Self-reports in organizational research: problems and prospects. J. Manag. 12(3), 531–544 (1986)

    Google Scholar 

  32. Loch, K.D., Straub, D.W., Kamel, S.: Diffusing the Internet in the Arab world: the role of social norms and technological culturation. IEEE Trans. Eng. Manage. 50(1), 45–63 (2003)

    Article  Google Scholar 

  33. Petter, S., Straub, D., Rai, A.: Specifying formative constructs in information systems research. MIS Q. 31(4), 623–656 (2007)

    Google Scholar 

  34. Sivo, S.A., Saunders, C., Chang, Q., Jiang, J.J.: How low should you go? Low response rates and the validity of inference in is questionnaire research. J. Assoc. Inf. Syst. 7(8), 351–414 (2006)

    Google Scholar 

  35. Schultz, T.W.: Investment in human capital. Am. Econ. Rev. 51, 1–17 (1961)

    Google Scholar 

  36. Snell, S.A., Dean, J.W.: Integrated manufacturing and human resources management: a human capital perspective. Acad. Manag. J. 35, 467–504 (1992)

    Article  Google Scholar 

  37. Hill, C.W.L., Rothaermel, F.T.: The performance of incumbent firms in the face of radical technological innovation. Acad. Manag. Rev. 28, 257–274 (2003)

    Google Scholar 

  38. Wensley, A.: Editorial: some further thoughts about knowledge transfer and understanding. Knowl. Process Manag. 8(4), 195–196 (2001)

    Article  Google Scholar 

  39. Mclagan, P.A.: Models for HRD practice. Train. Dev. 43(9), 49–59 (1989)

    Google Scholar 

  40. Carlile, P.R.: A pragmatic view of knowledge and boundaries: boundary objects in new product development. Organ. Sci. 13(4), 442–455 (2002)

    Article  Google Scholar 

  41. Youndt, M.A., Subramaniam, M., Snell, S.A.: Intellectual capital profiles: an examination of investments and returns. J. Manag. Stud. 41, 335–362 (2004)

    Article  Google Scholar 

  42. Leonard-Barton, D.: Well Springs of Knowledge: Building and Sustaining the Sources of Innovation. Harvard Business School Press, Boston (1995)

    Google Scholar 

  43. Carlile, P.R., Rebentisch, E.S.: Into the black box: the knowledge transformation cycle. Manag. Sci. 49(9), 1180–1195 (2003)

    Article  Google Scholar 

  44. Edvinsson, L., Malone, M.: Intellectual Capital: Realising Your Company’s True Value by Finding Its Hidden Brainpower. Harper Collins, New York (1997)

    Google Scholar 

  45. Sullivan, P.: Profiting from Intellectual Capital: Extracting Value from Innovation. Wiley, New York (1998)

    Google Scholar 

  46. Chen, C.J., Huang, J.W.: Strategic human resource practices and innovation performance-the mediating role of knowledge management capacity. J. Bus. Res. 62(1), 104–114 (2009)

    Article  Google Scholar 

  47. Vargas, N.M., Lloria, B.M.: Dynamizing intellectual capital through enablers and learning flows. Ind. Manag. Data Syst. 114(1), 2–20 (2014)

    Article  Google Scholar 

  48. Wu, X., Sivalogathasan, V.: Intellectual capital for innovation capability: a conceptual model for innovation. Int. J. Trade Econ. Finan. 4(3), 139–144 (2013)

    Article  Google Scholar 

  49. Galbraith, J.: Designing Complex Organizations. Addison-Wesley, Reading (1973)

    Google Scholar 

  50. Nonaka, I.: A dynamic theory of organizational knowledge creation. Organ. Sci. 5, 14–37 (1994)

    Article  Google Scholar 

  51. Massaro, M., Dumay, J., Bagnoli, C.: Where there is a will there is a way: IC, strategic intent, diversification and firm performance. J. Intellect. Capital 16(3), 490–517 (2015)

    Article  Google Scholar 

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Correspondence to Min Yu .

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Chen, SS., Yu, M., Chen, PY. (2016). Intellectual Capital and Boundary-Crossing Management Knowledge. In: Lehner, F., Fteimi, N. (eds) Knowledge Science, Engineering and Management. KSEM 2016. Lecture Notes in Computer Science(), vol 9983. Springer, Cham. https://doi.org/10.1007/978-3-319-47650-6_28

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  • DOI: https://doi.org/10.1007/978-3-319-47650-6_28

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-47650-6

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