Skip to main content
Log in

Creating knowledge within a team: a socio-technical interaction perspective

  • Original Article
  • Published:
Knowledge Management Research & Practice

Abstract

Creating knowledge within a team for developing new products and services is considered a primary means for improving organizational performance. Drawing upon the socio-technical perspective, we investigate the blended effects of social (learning culture, teamwork quality, and knowledge complexity) and technical (IT support) factors on team-level knowledge creation and team performance. We propose a model that features synergetic interactions between social and technical factors in this knowledge creation process. The model was tested by utilizing data from a field survey of industry managers. The results show significant interactions between social and technical factors, which influence team-level knowledge creation and, in turn, team performance. Our findings can be used to develop socio-technical initiatives to enhance the process of creating team-level knowledge within firms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Figure 1
Figure 2
Figure 3

Similar content being viewed by others

References

  • Aiken LS and West SG (1991) Multiple Regression: Testing and Interpreting Interactions. SAGE Publications, Thousand Oaks, CA.

    Google Scholar 

  • Alavi M and Leidner DE (2001) Review: knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Quarterly 25(1), 107–136.

    Article  Google Scholar 

  • Armstrong JS and Overton TS (1977) Estimating nonresponse bias in mail surveys. Journal of Marketing Research 14(3), 396–402.

    Article  Google Scholar 

  • Baker WE and Sinkula JM (1999) The synergistic effect of market orientation and learning orientation on organizational performance. Journal of the Academy of Marketing Science 27(4), 411–427.

    Article  Google Scholar 

  • Bhatt GD (2001) Knowledge management in organizations: examining the interaction between technologies, techniques, and people. Journal of Knowledge Management 5(1), 68–75.

    Article  Google Scholar 

  • Brinckmann J and Hoegl M (2011) Effects of initial teamwork capability and initial relational capability on the development of new technology-based firms. Strategic Entrepreneurship Journal 5(1), 37–57.

    Article  Google Scholar 

  • Bstieler L and Gross CW (2003) Measuring the effect of environmental uncertainty on process activities, project team characteristics, and new product development. Journal of Business & Industrial Marketing 18(2), 146–161.

    Article  Google Scholar 

  • Chen M-H, Chang Y-C and Hung S-C (2008) Social capital and creativity in R&D project teams. R&D Management 38(1), 21–34.

    Article  Google Scholar 

  • Chin WW (1998) The partial least squares approach to structural equation modeling. In Modern Methods for Business Research (Marchoulides GA, Ed), pp 295–336, Lawrence Erlbaum Associates, Mahwah, NJ.

    Google Scholar 

  • Chin WW, Marcolin BL and Newsted PR (2003) A partial least squares latent variable modeling approach for measuring interaction effects: results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research 14(2), 189–217.

    Article  Google Scholar 

  • Choo AS (2011) Impact of stretch strategy on knowledge creation in quality improvement projects. IEE Transactions on Engineering Management 58(1), 87.

    Article  Google Scholar 

  • Dayan M and Benedetto CAD (2009) Antecedents and consequences of teamwork quality in new product development projects: an empirical investigation. European Journal of Innovation Management 12(1), 129–155.

    Article  Google Scholar 

  • Dedrick J, Gurbaxani V and Kraemer KL (2003) Information technology and economics performance: a critical review of the empirical evidence. ACM Computing Surveys 35(1), 1–28.

    Article  Google Scholar 

  • Doherty NF and Perry I (2001) The cultural impact of workflow management systems in the financial services sector. The Service Industries Journal 21(4), 147–166.

    Article  Google Scholar 

  • Elsbach KD and Hargadon AB (2006) Enhancing creativity through ‘mindless’ work: a framework of workday design. Organization Science 17(4), 470–483.

    Article  Google Scholar 

  • Esterhuizen D, Schutte CSL and du Toit ASA (2012) Knowledge creation processes as critical enablers for innovation. International Journal of Information Management 32(4), 354–364.

    Article  Google Scholar 

  • Feng T, Sun L, Zhu C and Sohal AS (2012) Customer orientation for decreasing time-to-market of new products: it implementation as a complementary asset. Industrial Marketing Management 41(6), 929–939.

    Article  Google Scholar 

  • Hair JF, Black WC, Babin BJ, Anderson RE and Tatham RL (2006) Multivariate Data Analysis, 6th edn, Pearson Education, Upper Saddle River, NJ.

    Google Scholar 

  • Henseler J, Ringle CM and Sinkovics RR (2009) The use of partial least square path modeling in international marketing. In Advances in International Marketing (Sinkovics RR and Ghauri PN, Eds), Vol. 20, Emerald Insight, Bingley, United Kingdom, pp 277–319.

    Chapter  Google Scholar 

  • Hoegl M, Weinkauf K and Gemuenden HG (2004) Interteam coordination, project commitment, and teamwork in multiteam R&D projects: a longitudinal study. Organization Science 15(1), 38–55.

    Article  Google Scholar 

  • Hofstede G (1980) Culture and organizations. International Studies of Management & Organization 10(4), 15–41.

    Article  Google Scholar 

  • Huber GP (1991) Organizational learning: the contributing processes and the literatures. Organization Science 2(1), 88–115.

    Article  Google Scholar 

  • Jaw B-S and Liu W (2003) Promoting organizational learning and self-renewal in Taiwanese companies: the role of HRM. Human Resource Management 42(3), 223–241.

    Article  Google Scholar 

  • Kankanhalli A, Lee O-KD and Lim KH (2011) Knowledge reuse through electronic repositories: a study in the context of customer service support. Information & Management 48(2–3), 106–113.

    Article  Google Scholar 

  • Kao S-C, Wu C and Su P-C (2011) Which mode is better for knowledge creation? Management Decision 49(7), 1037–1060.

    Article  Google Scholar 

  • Kleinsmann M, Buijs J and Valkenburg R (2010) Understanding the complexity of knowledge integration in collaborative new product development teams: a case study. Journal of Engineering and Technology Management 27(1–2), 20–32.

    Article  Google Scholar 

  • Kohli R, Sherer SA and Baron A (2003) Editorial – IT investment payoff in e-business environment: research issues. Information Systems Frontiers 5(3), 239–247.

    Article  Google Scholar 

  • Leavitt HJ (1976) Applied organization change in industry: structural, technical, and human approaches. In Reader in Operations Research for Libraries (Brophy P, Ed), pp 50–60, Information Handling Services, Englewood, CO.

    Google Scholar 

  • Lee H and Choi B (2003) Knowledge management enablers, processes, and organizational performance: an integrative view and empirical examination. Journal of Management Information Systems 20(1), 179–228.

    Google Scholar 

  • Liden RC, Erdogan B, Wayne SJ and Sparrowe RT (2006) Leader-member exchange, differentiation, and task interdependence: implications for individual and group performance. Journal of Organizational Behavior 27(6), 723–746.

    Article  Google Scholar 

  • Menguc B, Auh S and Uslu A (2013) Customer knowledge creation capability and performance in sales teams. Journal of the Academy of Marketing Science 41(1), 19–39.

    Article  Google Scholar 

  • Minguela-Rata B, López-Sánchez JI and Rodríguez-Benavides MC (2009) The effect of knowledge complexity on the performance of franchise systems in the service industries: an empirical study. Service Business 3(1), 101–115.

    Article  Google Scholar 

  • Mitchell R and Boyle B (2010) Knowledge creation measurement methods. Journal of Knowledge Management 14(1), 67–82.

    Article  Google Scholar 

  • Mitchell R, Nicholas S and Boyle B (2009) The role of openness to cognitive diversity and group processes in knowledge creation. Small Group Research 40(5), 535–554.

    Article  Google Scholar 

  • Moore GC and Benbasat I (1991) Development of an instrument to measure the perception of adopting an information technology innovation. Information Systems Research 2(3), 192–222.

    Article  Google Scholar 

  • Mumford E (2006) The story of socio-technical design: reflections on its successes, failures and potential. Information Systems Journal 16(4), 317–342.

    Article  Google Scholar 

  • Nakata C and Zhu Z (2006) Information technology and customer orientation: a study of direct, mediated, and interactive linkages. Journal of Marketing Management 22(3–4), 319–354.

    Article  Google Scholar 

  • Nicholson J, Nicholson D and Valacich JS (2008) Examining the effects of technology attributes on learning: a contingency perspective. Journal of Information Technology Education 7(1), 185–204.

    Google Scholar 

  • Nonaka I (1994) A dynamic theory of organizational knowledge creation. Organization Science 5(1), 14–37.

    Article  Google Scholar 

  • Nonaka I and Konno N (1998) The concept of ‘Ba’: building a foundation for knowledge creation. California Management Review 40(3), 40–54.

    Article  Google Scholar 

  • Oldham GR and Cummings A (1996) Employee creativity: personal and contextual factors at work. The Academy of Management Journal 39(3), 607–634.

    Article  Google Scholar 

  • Palvalin M, Lonnqvist A and Vuolle M (2013) Analysing the impacts of ICT on knowledge work productivity. Journal of Knowledge Management 17(4), 545–557.

    Article  Google Scholar 

  • Pan SL and Scarbrough H (1998) A socio-technical view of knowledge-sharing at buckman laboratories. Journal of Knowledge Management 2(1), 55–66.

    Article  Google Scholar 

  • Parent M, Gallupe RB, Salisbury WD and Handelman JM (2000) Knowledge creation in focus groups: can group technologies help? Information & Management 38(1), 47–58.

    Article  Google Scholar 

  • Perez-Alvarez C and Watad M (2004) The impact of process standardization and task uncertainty on creativity in GSS environments. Academy of Information and Management Sciences Journal 7(1), 89–96.

    Google Scholar 

  • Pérez-Luño A, Medina CC, Lavado AC and Rodríguez GC (2011) How social capital and knowledge affect innovation. Journal of Business Research 64(12), 1369–1376.

    Article  Google Scholar 

  • Podsakoff PM and Organ DW (1986) Self-reports in organizational research: problems and prospects. Journal of Management 12(4), 531–544.

    Article  Google Scholar 

  • Powell TC and Dent-Micallef A (1997) Information technology as competitive advantage: the role of human, business, and technology resources. Strategic Management Journal 18(5), 375–405.

    Article  Google Scholar 

  • Premkumar G, Ramamurthy K and Saunders CS (2005) Information processing view of organizations: an exploratory examination of fit in the context of interorganizational relationships. Journal of Management Information Systems 22(1), 257–294.

    Google Scholar 

  • Ringle CM, Wende S and Will A (2005) SmartPLS 2.0 (M3) Beta. SmartPLS GmbH, Hamburg.

    Google Scholar 

  • Sabherwal R and Becerra-Fernandez I (2003) An empirical study of the effect of knowledge management processes at individual, group, and organizational levels. Decision Sciences 34(2), 225–260.

    Article  Google Scholar 

  • Schroder HM, Driver MJ and Streufert S (1967) Human Information Processing: Individuals and Groups Functioning in Complex Social Situations. Holt, Rinehart and Winston, New York.

    Google Scholar 

  • Schulze A and Hoegl M (2006) Knowledge creation in new product development projects. Journal of Management 32(2), 210–236.

    Article  Google Scholar 

  • Sethi R, Smith DC and Park CW (2001) Cross-functional product development teams, creativity, and the innovativeness of new consumer products. Journal of Marketing Research 38(1), 73–85.

    Article  Google Scholar 

  • Sharfman MP and Dean JW (1997) Flexibility in strategic decision making: informational and ideological perspectives. Journal of Management Studies 34(2), 191–217.

    Article  Google Scholar 

  • Tanriverdi H (2006) Performance effects of information technology synergies in multibusiness firms. MIS Quarterly 30(1), 57–77.

    Google Scholar 

  • Thomas JC, Kellogg WA and Erickson T (2001) The knowledge management puzzle: human and social factors in knowledge management. IBM Systems Journal 40(4), 863–884.

    Article  Google Scholar 

  • Wade M and Hulland J (2004) Review: the resource-based view and information systems research: review, extension, and suggestions for future research. MIS Quarterly 28(1), 107–142.

    Google Scholar 

  • Yoon SW, Song JH, Lim DH and Joo B-K (2010) Structural determinants of team performance: the mutual influences of learning culture, creativity, and knowledge. Human Resource Development International 13(3), 249–264.

    Article  Google Scholar 

  • Zhu K (2004) The complementarity of information technology infrastructure and e-commerce capability: a resource-based assessment of their business value. Journal of Management Information Systems 21(1), 167–202.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Woojong Suh.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hong, J., Lee, OK. & Suh, W. Creating knowledge within a team: a socio-technical interaction perspective. Knowl Manage Res Pract 15, 23–33 (2017). https://doi.org/10.1057/kmrp.2015.27

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1057/kmrp.2015.27

Keywords

Navigation