Skip to main content

Online Knowledge Community Evaluation Model: A Balanced Scorecard Based Approach

  • Conference paper
  • 1121 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 473))

Abstract

For the last decade, knowledge community has become popular resources of knowledge and their measurement also become more complex and critical for users and community managers. In this research, an integrated framework based on BSC (Balanced Score Card) - OKCBSC is proposed to evaluate the performance of online knowledge community in four dimensions: customer, internal process, learning and growth, and performance. After conducting Delphi approach and AHP methods, the measurements and their weights are derived. Two typical cases (Wikipedia and Yahoo!Kimo Knowledge + ) that conduct empirical surveys with 822 samples each are used to demonstrate the use of OKCBSC. Results and discussion are also addressed.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, C.J., Hung, S.W.: To give or to receive? Factors influencing members’ knowledge sharing and community promotion in professional virtual communities. Information & Management 47(4), 226–236 (2010)

    Article  Google Scholar 

  2. Wang, J.F.: E-commerce communities as knowledge bases for firms. Electronic Commerce Research and Applications 9(4), 335–345 (2010)

    Article  MATH  Google Scholar 

  3. Lin, H.: Determinants of successful virtual communities: Contributions from system characteristics and social factors. Information & Management 45(8), 522–527 (2008)

    Article  Google Scholar 

  4. Lin, M.J.J., Hung, S.W., Chen, C.J.: Fostering the determinants of knowledge sharing in professional virtual communities. Computers in Human Behavior 25(4), 929–939 (2009)

    Article  Google Scholar 

  5. Casalo, L.V., Flavian, C., Guinaliu, M.: Relationship quality, community promotion and brand loyalty in virtual communities: Evidence from free software communities. International Journal of Information Management 30(4), 357–367 (2010)

    Article  Google Scholar 

  6. Chen, Y.J., Chen, Y.M., Wu, M.S.: An empirical knowledge management framework for professional virtual community in knowledge-intensive service industries. Expert Systems with Applications 39, 13135–13147 (2012)

    Article  Google Scholar 

  7. Elliot, S., Li, G., Choi, C.: Understanding service quality in a virtual travel community environment. Journal of Business Research 66(8), 1153–1160 (2013)

    Article  Google Scholar 

  8. Alali, H., Salim, J.: Virtual Communities of Practice Success Model to Support Knowledge Sharing Behaviour in Healthcare Sector. Procedia Technology 11, 176–183 (2013)

    Article  Google Scholar 

  9. Hsu, F.M., Fan, C.T., Lin, C.M., Chiu, C.M.: Factors Affecting the Satisfaction of Participants in Community. Procedia - Social and Behavioral Sciences 73(27), 418–423 (2013)

    Article  Google Scholar 

  10. Hong, H.Y., Scardamalia, M.: Community knowledge assessment in a knowledge building Environment. Computers & Education 71, 279–288 (2014)

    Article  Google Scholar 

  11. Thomson, A.J.: Indicator-based knowledge management for participatory decision-making. Computers and Electronics in Agriculture 49(1), 206–218 (2005)

    Article  Google Scholar 

  12. Ruuska, I., Vartiainen, M.: Characteristics of knowledge sharing communities in project organizations. International Journal of Project Management 23(5), 374–379 (2005)

    Article  Google Scholar 

  13. Lin, F.R., Lin, S.C., Huang, T.P.: Knowledge sharing and creation in a teachers’ professional virtual community. Computers & Education 50(3), 742–756 (2008)

    Article  MathSciNet  Google Scholar 

  14. Chen, R.S., Hsiang, C.H.: A study on the critical success factors for corporations embarking on knowledge community-based e-learning. Information Sciences 177(2), 570–586 (2007)

    Article  Google Scholar 

  15. Kaplan, R.S., Norton, D.P.: The balance scorecard: measures that drive performance. Harvard Business Review 70(1), 71–79 (1992)

    Google Scholar 

  16. Kaplan, R.S., Norton, D.P.: Using the balance scorecard as a strategic management system. Harvard Business Review 74(1), 75–85 (1996)

    Google Scholar 

  17. Huang, H.C.: Designing a knowledge-based system for strategic planning: A balanced scorecard perspective. Expert Systems with Applications 36, 209–218 (2009)

    Article  MATH  Google Scholar 

  18. Chen, M.Y., Huang, M.J., Cheng, Y.C.: Measuring knowledge management performance using a competitive perspective: An empirical study. Expert Systems with Applications 36, 8449–8459 (2009)

    Article  Google Scholar 

  19. Wu, H.Y., Lin, Y.K., Chang, C.H.: Performance evaluation of extension education centers in universities based on the balanced scorecard. Evaluation and Program Planning 34, 37–50 (2011)

    Article  Google Scholar 

  20. Kunz, H., Schaaf, T.: General and specific formalization approach for a Balanced Scorecard: An expert system with application in health care. Expert Systems with Applications 38, 1947–1955 (2011)

    Article  Google Scholar 

  21. Sordo, C.D., Orelli, R.L., Padovani, E., Gardini, S.: Assessing global performance in universities: an application of balanced scorecard. Procedia - Social and Behavioral Sciences 46, 4793–4797 (2012)

    Article  Google Scholar 

  22. Sainaghi, R., Phillips, P., Corti, V.: Measuring hotel performance: Using a balanced scorecard perspectives’ approach. International Journal of Hospitality Management 34, 150–159 (2013)

    Article  Google Scholar 

  23. Lee, S., Park, S.B., Lim, G.G.: Using balanced scorecards for the evaluation of “Software-as-a-service”. Information & Management 50, 553–561 (2013)

    Article  Google Scholar 

  24. Tsai, H.T., Pai, P.: Explaining members’ proactive participation in virtual communities. Int. J. Human-Computer Studies 71(4), 475–491 (2013)

    Article  Google Scholar 

  25. Zheng, Y.M., Zhao, K., Stylianou, A.: The impacts of information quality and system quality on users’ continuance intention in information-exchange virtual communities: An empirical investigation. Decision Support Systems 56, 513–524 (2013)

    Article  Google Scholar 

  26. Tsai, H.T., Pai, P.: Why do newcomers participate in virtual communities? An integration of self-determination and relationship management theories. Decision Support Systems 57, 178–187 (2014)

    Article  Google Scholar 

  27. Zhao, L., Lu, Y., Wang, B., Chau, P.Y.K., Zhang, L.: Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective. International Journal of Information Management 32(6), 574–588 (2012)

    Article  Google Scholar 

  28. Tamjidyamcholo, A., Baba, M.S.B.: Evaluation model for knowledge sharing in information security professional virtual community. Computers & Security 43, 19–34 (2014)

    Article  Google Scholar 

  29. Papalexandris, A., Ioannou, G., Prastacos, G., Soderquist, K.E.: An integrated methodology for putting the balanced scorecard into action. European Management Journal 23(2), 214–227 (2005)

    Article  Google Scholar 

  30. Henttonen, K.: Exploring social networks on the team level—A review of the empirical literature. Journal of Engineering and Technology Management 27(1-2), 74–109 (2010)

    Article  Google Scholar 

  31. Luo, J.D.: Social network structure and performance of improvement teams. International Journal of Business Performance Management 7(2), 208–223 (2005)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kao, SC., Huang, CL., Wu, CH. (2014). Online Knowledge Community Evaluation Model: A Balanced Scorecard Based Approach. In: Wang, L.SL., June, J.J., Lee, CH., Okuhara, K., Yang, HC. (eds) Multidisciplinary Social Networks Research. MISNC 2014. Communications in Computer and Information Science, vol 473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45071-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-45071-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45070-3

  • Online ISBN: 978-3-662-45071-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics