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The Design and the Use of Knowledge Management System as a Boundary Object

  • Dejen Alemu
  • Murray E. Jennex
  • Temtem Assefa
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 244)

Abstract

Agricultural knowledge management system (KMS) involves various members coming from different social groups who possess their own knowledge which need to be combined in the system development. However, the current development of the technology ignored the indigenous knowledge of the local communities. The multi-methodological approach to KMS research in action research perspective was employed to understand the design and use of KMS for knowledge integration. Primary qualitative data were acquired through semi-structured interviews and observations. The research shall have theoretical contribution in addressing the incorporation of variety of knowledge in agriculture and practical implication to provide management understanding in developing strategies for the potential of a shared KMS as a boundary object for knowledge integration to support marginalized smallholder farmers.

Keywords

Agriculture Knowledge System development Farmers 

References

  1. 1.
    Puri, S.K.: Integrating scientific with indigenous knowledge: constructing knowledge alliances for land management in India. MIS Q. 31(2), 355–379 (2007)CrossRefGoogle Scholar
  2. 2.
    UNDP: “Promoting ICT based agricultural knowledge management to increase production and productivity of smallholder farmers in Ethiopia,” UNDP Ethiopia’s Development Brief Series (2012)Google Scholar
  3. 3.
    Masinde, M.: Survivability to sustainability of biodiversity: what do ICTs and indigenous knowledge have to do with it? (2013). http://dx.doi.org/10.1145/2517899.2517900. Accessed 13 Oct 2014
  4. 4.
    Wenger, E.: Communities of Practice: Learning, Meaning and Identity. Cambridge University Press, Cambridge (1998)CrossRefGoogle Scholar
  5. 5.
    Davenport, T.H., Prusak, L.: Working Knowledge. Harvard Business School Press, Boston (1998)Google Scholar
  6. 6.
    Jennex, M.E.: A proposed method for assessing knowledge loss risk with departing personnel. VINE J. Inf. Knowl. Manag. Syst. 44(2), 185–209 (2014)Google Scholar
  7. 7.
    Dalkir, K.: Knowledge Management in Theory and Practice. Elsevier Butterworth-Heinemann, Burlington (2005)Google Scholar
  8. 8.
    Jennex, M.E.: What is knowledge management? Int. J. Knowl. Manag. 1(4), i–iV (2005)Google Scholar
  9. 9.
    Nonaka, I.: A dynamic theory of organizational knowledge creation. Organ. Sci. 5(1), 14–37 (1994)CrossRefGoogle Scholar
  10. 10.
    Jennex, M.E., Olfman, L.: Development recommendations for knowledge management/organizational memory systems. In: Sein, M.K., et al. (eds.) Contemporary Trends in Systems Development, pp. 209–222. Springer, Boston (2001).  https://doi.org/10.1007/978-1-4615-1341-4_18CrossRefGoogle Scholar
  11. 11.
    Jennex, M.E., Smolnik, S., Croasdell, D.: The search for knowledge management success. In: Hawaii International Conference on Systems Sciences (2012)Google Scholar
  12. 12.
    Arisha, A., Ragab, M.A.F.: Knowledge management and measurement: a critical review. J. Knowl. Manag. 17(6), 873–901 (2013)CrossRefGoogle Scholar
  13. 13.
    King, W.R.: Knowledge management and organizational learning. Ann. Inf. Syst. 4, 3–13 (2009)CrossRefGoogle Scholar
  14. 14.
    Jennex, M.E.: Knowledge management in support of education. J. Adm. Dev. 1(2), 15–28 (2007)Google Scholar
  15. 15.
    Wang, W., Xiong, R., Sun, J.: Design of a web 2.0-based knowledge management platform. In: Wang, W., Li, Y., Duan, Z., Yan, L., Li, H., Yang, X. (eds.) Integration and Innovation Orient to E-Society, vol. 252, pp. 237–245. Springer, Boston (2007).  https://doi.org/10.1007/978-0-387-75494-9_29
  16. 16.
    Lave, J., Wenger, E.: Situated Learning: Legitimate Peripheral Participation. Cambridge University Press, Cambridge (1991)CrossRefGoogle Scholar
  17. 17.
    Rosenkranz, C., Vranesic, H., Holten, R.: Boundary interactions and motors of change in requirements elicitation: a dynamic perspective on knowledge sharing. J. Assoc. Inf. Syst. 15(6), 306–345 (2014)Google Scholar
  18. 18.
    Brown, J.S., Duguid, P.: Organizing knowledge. Calif. Manag. Rev. 40(3), 90–111 (1998)CrossRefGoogle Scholar
  19. 19.
    Burstein, F., Gregor, S.: The systems development or engineering approach to research in information systems: an action research perspective. In: Proceedings of 10th Australasian Conference on Information Systems, Wellington NZ 1–3 December 1999, School of Communications and Information Management Victoria University of Wellington, Wellington, New Zealand, pp. 122–134 (1999)Google Scholar
  20. 20.
    Saade, R., Nebebe, F., Mak, T.: Knowledge management systems development: theory and practice. Interdiscip. J. Inf. Knowl. Manag. 6, 35–72 (2011)Google Scholar
  21. 21.
    Jung, J., Choi, I., Song, M.: An integration architecture for knowledge management systems and business process management systems. Comput. Ind. 58, 21–34 (2007)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.Information SystemsAddis Ababa UniversityAddis AbabaEthiopia
  2. 2.Management of Information SystemsSan Diego State UniversitySan DiegoUSA

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