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The Study of Social Mechanisms of Organization, Boundary Capabilities, and Information System

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Book cover Social Informatics (SocInfo 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8238))

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Abstract

Exploring how organizational antecedents affect the boundary capabilities, this study identifies the differing effects for three components of boundary capabilities. The results indicate that the organizational mechanisms associated with the coordination capabilities primarily enhance a team’s syntactic transfer, semantic translation, and pragmatic transformation. The organizational mechanisms associated with the socialization capabilities primarily increase a team’s semantic translation and pragmatic transformation. The information system primarily enhances the coordination and socialization capabilities. Our findings reveal why the teams may have difficulty managing the levels of syntactic transfer, semantic translation, and pragmatic transformation and vary in their ability to create the value from their boundary capabilities.

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References

  1. Carlile, P.R.: Transferring, Translating, and Transforming: An Integrative Framework for Managing Knowledge across Boundaries. Organization Science 15(5), 555–568 (2004)

    Article  Google Scholar 

  2. Jansen, J.J.P., Van Den Bosch, F.A.J., Volberda, H.W.: Managing potential and realized absorptive capacity: how do organizational antecedents matter? Academy of Management Journal 48(6), 999–1015 (2005)

    Article  Google Scholar 

  3. Gardner, H.K., Gino, F.: Dynamically integrating knowledge in teams: transforming resources into performance. Academy of Management Journal 55(4), 998–1022 (2012)

    Article  Google Scholar 

  4. Dennis, A., Kinney, S.: Testing media richness theory in the new media: The effects of cues, feedback, and task equivocality. Information Systems Research 9, 256–274 (1998)

    Article  Google Scholar 

  5. Daft, R.L., Lengel, R.H.: Organizational information requirements, media richness and structural design. Management Science (1986)

    Google Scholar 

  6. 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. Organization Science 10, 551–568 (1999)

    Article  Google Scholar 

  7. Weick, K.E.: The social psychology of organizing. Addison-Wesley, Reading (1979)

    Google Scholar 

  8. Grant, R.M.: Prospering in dynamically-competitive environments: Organizational capability as knowledge creation. Organization Science 7, 375–387 (1996)

    Article  Google Scholar 

  9. Lin, X., Germain, R.: Organizational structure, context, customer orientation, and performance: Lessons from Chinese state-owned enterprises. Strategic Management Journal 24, 1131–1151 (2003)

    Article  Google Scholar 

  10. Noe, R.A.: Employee training and development. Irwin McGraw-Hill, Boston (1999)

    Google Scholar 

  11. Nahapiet, J., Ghoshal, S.: Social capital, intellectual capital, and the organizational advantage. Academy of Management Review 23, 242–266 (1998)

    Google Scholar 

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

    Article  Google Scholar 

  13. Nelson, R.R., Winter, S.J.: An evolutionary theory of economic change. Harvard University Press, Cambridge (1982)

    Google Scholar 

  14. 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. Industrial and Corporate Change 5, 653–698 (1996)

    Article  Google Scholar 

  15. Galunic, D.C., Rodan, S.: Resource recombinations in the firm: Knowledge structures and the potential for Schumpeterian innovation. Strategic Management Journal 19, 1193–1201 (1998)

    Article  Google Scholar 

  16. Subramaniam, Youndt: The influence of intellectual capital on the types of innovative capabilities. Academy of Management Journal 48(3), 450–463 (2005)

    Article  Google Scholar 

  17. Matusik, S.F.: An empirical investigation of firm public and private knowledge. Strategic Management Journal 23, 457–467 (2002)

    Article  Google Scholar 

  18. Gupta, A.K., Govindarajan, V.: Knowledge flows within multinational corporations. Strategic Management Journal 21, 473–496 (2000)

    Article  Google Scholar 

  19. Henderson, R., Cockburn, I.: Measuring competence? Exploring firm effects in pharmaceutical research. Strategic Management Journal 15, 63–84 (1994)

    Article  Google Scholar 

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

    Article  Google Scholar 

  21. Collins, Smith: Knowledge exchange and combination: the role of human resource practices in the performance of high-technology firms. Academy of Management Journal 49(3), 544–560 (2006)

    Article  Google Scholar 

  22. Adler, P.S., Kwon, S.: Social capital: Prospects for a new concept. Academy of Management Review 27, 17–40 (2002)

    Google Scholar 

  23. Ahuja, M.K., Carley, K.M.: Network structure in virtual organizations, 757 ed. 10, 741–757 (1999)

    Google Scholar 

  24. Bendoly, E., Bharadwaj, A., Bharadwaj, S.: Complementary Drivers of New Product Development Performance: Cross-Functional Coordination, Information System Capability, and Intelligence Quality. Production and Operations Management 21(4), 653–667 (2012)

    Article  Google Scholar 

  25. Menon, A., Bharadwaj, S.G., Adidam, P.T., Edison, S.W.: Antecedents and consequences of marketing strategy making: A model and a test. Journal of Marketing 63(2), 18–40 (1999)

    Article  Google Scholar 

  26. Schulz, M., Jobe, L.A.: Codification and tacitness as knowledge management strategies. An empirical exploration. Journal of High Technology Management Research 12(1), 139–165 (2000)

    Article  Google Scholar 

  27. Uzzi, B., Lancaster, R.: Relational Embeddedness and Learning: The Case of Bank Loan Managers and Their Clients. Management Science 49(4), 383–399 (2003)

    Article  Google Scholar 

  28. Armstrong, J.S., Overton, T.S.: Estimating nonresponse bias in mail surveys. Journal of Marketing Research 14(3), 396–402 (1977)

    Article  Google Scholar 

  29. 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 

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

    Google Scholar 

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

    Google Scholar 

  32. Barroso, C., Carrión, G.C., Roldán, J.L.: Applying Maximum Likelihood and PLS on Different Sample Sizes: Studies on SERVQUAL Model and Employee Behavior Model. In: Vinzi, V.E., Chin, W.W., Henseler, J., Wang, H. (eds.) Handbook of Partial Least Squares. Springer Handbooks of Computational Statistics, pp. 427–447 (2010)

    Google Scholar 

  33. Bollen, K., Lennox, R.: Conventional Wisdom on Measurement: A Structural Equation Perspective. Psychological Bulletin 110(2), 305–314 (1991)

    Article  Google Scholar 

  34. Campbell, D.T., Fiske, D.W.: Convergent and Discriminant Validation by the Multi-Trait–Multi-Method Matrix. Psychological Bulletin 56(2), 81–105 (1959)

    Article  Google Scholar 

  35. 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, New Jersey (1998a)

    Google Scholar 

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

    Google Scholar 

  37. Chin, W.W.: How to Write Up and Report PLS Analyses. In: Vinzi, V.E., Chin, W.W., Henseler, J. (eds.) Handbook of Partial Least Squares. Springer Handbooks of Computational Statistics, pp. 655–690. Springer (2010)

    Google Scholar 

  38. Diamantopoulos, A., Siguaw, J.A.: Formative versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration. British Journal of Management 17(4), 263–282 (2006)

    Article  Google Scholar 

  39. Diamantopoulos, A., Winklhofer, H.M.: Index Construction with Formative Indicators: An Alternative to Scale Development. Journal of Marketing Research 38(2), 269–277 (2001)

    Article  Google Scholar 

  40. Fornell, C., Larcker, D.F.: Evaluating Structural Equations with Unobservable Variables and Measurement Error. Journal of Marketing Research 18(1), 39–50 (1981)

    Article  Google Scholar 

  41. Gefen, D., Rigdon, E.E., Straub, D.: An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly 35(2), iii-xiv (2011)

    Google Scholar 

  42. Gefen, D., Straub, D.: A Practical Guide to Factorial Validity using PLS-Graph: Tutorial and Annotated Example. Communications of the Association for Information Systems 16(25), 91–109 (2005)

    Google Scholar 

  43. Gefen, D., Straub, D.W., Boudreau, M.-C.: Structural Equation Modeling and Regression: Guidelines for Research Practice. Communications of the Association for Information Systems 4(7), 1–77 (2000)

    Google Scholar 

  44. Klein, R., Rai, A.: Interfirm strategic information flows in logistics supply chain relationships. MIS Quarterly 33(4), 735–762 (2009)

    Google Scholar 

  45. Loch, K.D., Straub, D.W., Kamel, S.: Diffusing the Internet in the Arab World: The Role of Social Norms and Technological Culturation. IEEE Transactions on Engineering Management 50(1), 45–63 (2003)

    Article  Google Scholar 

  46. Petter, S., Straub, D., Rai, A.: Specifying Formative Constructs in Information Systems Research. MIS Quarterly 31(4), 623–656 (2007)

    Google Scholar 

  47. 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. Journal of the Association for Information Systems 7(8), 351–414 (2006)

    Google Scholar 

  48. Straub, D., Boudreau, M.-C., Gefen, D.: Validation Guidelines for IS Positivist Research. Communications of the Association for Information Systems 13(24), 380–427 (2004)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Business Administration, National Central University, No. 300, Jung-da Rd., Jung-li City, Taoyuan, 320, Republic of China, Taiwan

    Shiuann-Shuoh Chen & Min Yu

  2. Department of International Business, Hsin Sheng College of Medical Care and Management, No. 418, Gaoping Sec., Zhongfeng Rd., Longtan Township, Taoyuan, 320, Republic of China, Taiwan

    Pei-Yi Chen

  3. Department of Computer Science and Information Management, Providence University, No. 200 Chung-Chi Rd., Salu Dist., Taichung City, 43301, Republic of China, Taiwan

    Yu-Wei Chuang

Authors
  1. Shiuann-Shuoh Chen
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  2. Pei-Yi Chen
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  3. Min Yu
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  4. Yu-Wei Chuang
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Editor information

Editors and Affiliations

  1. Department of Social Informatics, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, 606-8501, Sakyo-ku, Kyoto, Japan

    Adam Jatowt

  2. School of Information Systems, Singapore Management University, 80 Stamford Road, 178902, Singapore

    Ee-Peng Lim  & Bing Tian Dai  & 

  3. Department of Information and Library Science, School of Informatics and Computing, Indiana University, 1320 E. 10th St., LI 011, 47405, Bloomington, IN, USA

    Ying Ding

  4. Department of Integrated Psychological Sciences, Kwansei Gakuin University, 1-1-155 Uegahara, 662-8501, Nishinomiya, Hyogo, Japan

    Asako Miura

  5. Faculty of Library, Information and Media Science, University of Tsukuba, 1-2 Kasuga, 305-8550, Tsukuba City, Ibaraki, Japan

    Taro Tezuka

  6. Department of Computer Science, University of Caen Basse-Normandie, Campus Côte de Nacre, F-14032, Caen Cedex, France

    Gaël Dias

  7. Department of Social Informatics, Graduate School of Informatics,, Kyoto University, 606-8501, Kyoto, Japan

    Katsumi Tanaka

  8. Department of Communication, University of California, 93106, Santa Barbara, CA, USA

    Andrew Flanagin

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© 2013 Springer International Publishing Switzerland

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Chen, SS., Chen, PY., Yu, M., Chuang, YW. (2013). The Study of Social Mechanisms of Organization, Boundary Capabilities, and Information System. In: Jatowt, A., et al. Social Informatics. SocInfo 2013. Lecture Notes in Computer Science, vol 8238. Springer, Cham. https://doi.org/10.1007/978-3-319-03260-3_15

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  • DOI: https://doi.org/10.1007/978-3-319-03260-3_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03259-7

  • Online ISBN: 978-3-319-03260-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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