Extending DSR with Sub Cycles to Develop a Digital Knowledge Ecosystem for Coordinating Agriculture Domain in Developing Countries

  • Tamara Ginige
  • Lasanthi De Silva
  • Anusha Walisadeera
  • Athula Ginige
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10844)


Still a large percentage of the world population, especially in developing countries are depending on agriculture for their livelihood. The agriculture domain in many developing countries is not well coordinated leading to over and under production of crops resulting in widely fluctuating market prices, waste and economic hardship for farmers. Rapidly growing Smartphone usage among farming community has opened new possibilities to develop a mobile based artefact to coordinate the agriculture production. We have developed an overall artefact; a Digital Knowledge Ecosystem using Design Science Research (DSR) methodology to solve this complex problem. The main project had many research challenges to solve and they were assigned to several sub-projects to address. The outputs of sub-projects created several artefacts. They were integrated to develop the overall artefact to achieve the main goal of the overall project. Managing the complexity of the overall project was a challenge. For this, we had to split three main cycles of DSR: Relevance, Design and Rigor into 6 DSR sub-cycles; Relevance – Problem Understanding and Relevance – Suitability Validation, Rigor – Learning and Rigor –Contribution, Design - Heuristic Search and Design - Functional Validation. This split enabled us to better coordinate the activities to address different aspects of the problem performed by different researchers, often in parallel at multiple geographical locations. The resulted mobile based Digital Knowledge Ecosystem initially developed for farmers in Sri Lanka is now being trialled in India and adapted to develop a Mobile based Information System for Nutrition Driven Agriculture for African Countries.


Digital Knowledge Ecosystem DSR sub-cycles Coordinating agriculture domain 


  1. 1.
    Dixon, J.A., Gibbon, D.P., Gulliver, A.: Farming Systems and Poverty: Improving Farmers’ Livelihoods in a Changing World. Food & Agriculture Org, Rome (2001)Google Scholar
  2. 2.
    Agriculture: Department of Agriculture, Sri Lanka, 20 February 2015.
  3. 3.
  4. 4.
    De Silva, L., Ginige, T., Giovanni, P.D., Mathai, M., Goonetillake, J., Wikramanayake, G., et al.: Interplay of requirements engineering and human computer interaction approaches in the evolution of a mobile agriculture information system. In: Ebert, A., Humayoun, S.R., Seyff, N., Perini, A., Barbosa, S.D.J. (eds.) UsARE 2012/2014. LNCS, vol. 9312, pp. 135–159. Springer, Cham (2016). Scholar
  5. 5.
    Ginige, A., Silva, L.D., Ginige, T., Giovanni, P.D., Walisadeera, A.I., Mathai, M., et al.: Towards an agriculture knowledge ecosystem: a social life network for farmers in Sri Lanka. In: 9th Conference of the Asian Federation for Information Technology in Agriculture - 2014, Perth, Australia, pp. 170–179 (2014)Google Scholar
  6. 6.
    Ginige, A., Walisadeera, A., Ginige, T., Silva, L.D., Giovanni, P.D., Mathai, M., et al.: Digital knowledge ecosystem for achieving sustainable agriculture production: a case study from Sri Lanka. In: Presented at the the 3rd IEEE International Conference on Data Science and Advanced Analytics Montreal, Canada (2016)Google Scholar
  7. 7.
    Ginige, A.: Digital knowledge ecosystems: empowering users through context specific actionable information. In: Presented at the 9th International Conference on ICT, Society and Human Beings (ICT 2016), Madeira, Portugal (2016)Google Scholar
  8. 8.
    Hevner, A., March, S., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28, 75–105 (2004)CrossRefGoogle Scholar
  9. 9.
    Hevner, A.: A three cycle view of design science research. Scand. J. IS 19, 87–92 (2007)Google Scholar
  10. 10.
    Rosson, M.B., Carrol, J.M.: Scenario-Based Design: The Human Computer Interaction Handbook. Lawrence Erlbaum Associates, New Jersey (2002)Google Scholar
  11. 11.
    Lokanathan, S., Kapugama, N.: Smallholders and Micro-enterprises in Agriculture. LIRNEasia, Colombo (2012)Google Scholar
  12. 12.
    Jensen, R.T.: The digital provide: information (technology), market performance and welfare in the South Indian fisheries sector. Q. J. Econ. 122, 879–924 (2007)CrossRefGoogle Scholar
  13. 13.
    De Silva, H., Ratnadiwakara, D.: Using ICT to reduce transaction costs in agriculture through better communication: a case-study from Sri Lanka (2008)Google Scholar
  14. 14.
    De Silva, L., Goonetillake, J., Wikramanayake, G., Ginige, A.: Towards an agriculture information ecosystem. In: 25th Australasian Conference on Information Systems (2014)Google Scholar
  15. 15.
    Walisadeera, A.I., Ginige, A., Wickramanayake, G.: Conceptualizing crop life cycle events to create a user centered ontology for farmers. In: Presented at the Computational Science and Its Applications (ICCSA 2014), Poroto, Portugal (2014)Google Scholar
  16. 16.
    Walisadeera, A.I., Wikramanayake, G.N., Ginige, A.: An ontological approach to meet information needs of farmers in Sri Lanka. In: Presented at the International Conference on Computational Science and its Applications, Ho Chi Minh City, Vietnam (2013)Google Scholar
  17. 17.
    Bandura, A.: Self efficacy mechanism in human agency. Am. Psychol. 37, 122–147 (1982)CrossRefGoogle Scholar
  18. 18.
    Zimmerman, M.A.: Psycological empowerment: issues and illustrations. Am. J. Commun. Psychol. 23, 581–600 (1995)CrossRefGoogle Scholar
  19. 19.
    Deci, E.L., Schwartz, A., Sheinman, L., Ryan, R.M.: An instrument to assess adults’ orientations toward control versus autonomy with children: reflections on intrinsic motivation and perceived competence. J. Educ. Psychol. 73, 642–650 (1981)CrossRefGoogle Scholar
  20. 20.
    Cattaneo, L.B., Chapman, A.R.: The process of empowerment: a model for use in research and practice. Am. Psychol. 65, 646–659 (2010)CrossRefGoogle Scholar
  21. 21.
    Ginige, T., Richards, D., Hitchens, M.: Cultivation planning application to enhance decision making among Sri Lankan farmers. In: Presented at the Pacific Rim Knowledge Acquisition Gold Coast, Australia (2014)Google Scholar
  22. 22.
    Schunk, D.H.: Self-efficacy and achievement behaviors. Educ. Psychol. Rev. 1, 173–208 (1989)CrossRefGoogle Scholar
  23. 23.
    Corno, L., Mandinach, E.B.: The role of cognitive engagement in classroom learning and motivation. Educ. Psychol. 18, 88–108 (1983)CrossRefGoogle Scholar
  24. 24.
    Pintrich, P.R., Schunk, D.H.: Motivation in Education: Theory, Research, and Applications. Merrill, Minnesota (2002)Google Scholar
  25. 25.
    Cohen-Mansfield, J., Marx, M.S., Guralnik, J.M.: Motivators and barriers to exercise in an older community-dwelling population. In: JAPA 2003, vol. 11, pp. 242–253 (2003)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Tamara Ginige
    • 1
  • Lasanthi De Silva
    • 2
  • Anusha Walisadeera
    • 3
  • Athula Ginige
    • 4
  1. 1.Australian Catholic UniversityNorth SydneyAustralia
  2. 2.University of ColomboColomboSri Lanka
  3. 3.University of RuhunaMataraSri Lanka
  4. 4.Western Sydney UniversitySydneyAustralia

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