Skip to main content

Mkulima Platform: An Inclusive Business Platform Ecosystem that Integrates African Small-Scale Farmers into Agricultural Value Chain

  • Conference paper
  • First Online:

Abstract

The Like many other technological advancements, most African countries have not kept pace with the current developments in the mobile applications (‘apps’) arena. Among other reasons, this is attributed to lower penetration level of smartphones in these countries. On the other hand, the advancements associated with apps have not spared the agribusiness sphere. This is especially so given that one of the global challenges is that of producing enough food to feed the world population, which will grow to upward of 10 billion people by the middle of the current century. Amidst the scarce and fast reducing resources such as water and arable land, this need is direr in African countries whose economies are largely dependent on rain-fed agricultural sector. Under these circumstances, some of the mechanisms for increasing food production are: (1) increasing farm efficiency to produce more high-quality; (2) creating transparent and sustainable food supply chains; and (3) providing ability to track and trace food ingredients. Mobile apps have reached maturity and penetration levels sufficient to support these goals. The thesis of this paper is that if Africa’s small-scale farmers were to benefit from mobile apps, a re-imagined platform-based model approach for developing these apps is required. This was informed by the glaring gaps that were identified through a bibliometric analysis of relevant literacy followed by empirical study of such apps. The platform addresses two key challenges facing Africa’s small-scale farmers: (1) non-availability of market information around prices of agricultural produce, buyers, and markets; and (2) lack of accurate weather information. The platform’s ability to break geographical barriers is anchored on Platform Ecosystem Canvas and its design puts into consideration the technological realities of Africa’s small-scale farmers.

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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

References

  1. Frey, J.D.: The importance of financial education as a plastic surgery trainee and beyond. Plast. Reconstr. Surg. 147(2), 2020–2021 (2021). https://doi.org/10.1097/prs.0000000000007568

    Article  Google Scholar 

  2. Neubeck, L., Lowres, N., Benjamin, E.J., Ben Freedman, S., Coorey, G., Redfern, J.: The mobile revolution-using smartphone apps to prevent cardiovascular disease. Nat. Rev. Cardiol. 12(6), 350–360 (2015). https://doi.org/10.1038/nrcardio.2015.34

    Article  Google Scholar 

  3. Suh, Y., Park, Y.: Identifying and structuring service functions of mobile applications in Google’s Android Market. Inf. Syst. e-Bus. Manag. 16(2), 383–406 (2017). https://doi.org/10.1007/s10257-017-0366-7

    Article  MathSciNet  Google Scholar 

  4. Van Dijck, J.: Seeing the forest for the trees: visualizing platformization and its governance. New Media Soc. 23(8), 1–19 (2020). https://doi.org/10.1177/1461444820940293

    Article  Google Scholar 

  5. Kanyam, D.A., Kostandini, G., Ferreira, S.: The mobile phone revolution: have mobile phones and the internet reduced corruption in Sub-Saharan Africa? World Dev. 99, 271–284 (2017). https://doi.org/10.1016/j.worlddev.2017.05.022

    Article  Google Scholar 

  6. Rakestraw, T.L., Eunni, R.V., Kasuganti, R.R.: The mobile apps industry: a case study. J. Bus. Cases Appl. 9(1), 1–26 (2013)

    Google Scholar 

  7. Okonkwo, C.W., Huisman, M.: Socio-economic contributions of mobile applications in Africa : impact of local mobile applications. In: 2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC), pp. 1–8 (2019)

    Google Scholar 

  8. Masinde, M.: Internet of things research development: what will work for Africa? In: 2019 Open Innovations Conference, OI 2019, pp. 20–24 (2019). https://doi.org/10.1109/OI.2019.8908230

  9. Li, L., et al.: Static analysis of android apps: a systematic literature review. Inf. Softw. Technol. 88, 67–95 (2017). https://doi.org/10.1016/j.infsof.2017.04.001

    Article  Google Scholar 

  10. UNDP. Human Development Report 2020 The next frontier Human development and the Anthropocene. United Nations Development Programme, New York (2020)

    Google Scholar 

  11. Kelly, S., Vergara, N., Bammann, H.: FAO, Inclusive Business Models. Guidelines for improving linkages between producer groups and buyers of agricultural produce, Rome, Italy (2015)

    Google Scholar 

  12. Mukhopadhyay, S., Bouwman, H., Jaiswal, M.P.: An open platform centric approach for scalable government service delivery to the poor: the aadhaar case. Gov. Inf. Q. 36(3), 437–448 (2019). https://doi.org/10.1016/j.giq.2019.05.001

    Article  Google Scholar 

  13. Zutshi, A., Grilo, A.: The Emergence of digital platforms: a conceptual platform architecture and impact on industrial engineering. Comput. Ind. Eng. 136(July), 546–555 (2019). https://doi.org/10.1016/j.cie.2019.07.027

    Article  Google Scholar 

  14. Han, Y.: A tripartite evolutionary game analysis of enterprises’ behaviour in the platform ecosystem. Disc. Dyn. Nature Soc. 2020, 1–10 (2020). https://doi.org/10.1155/2020/8256091

    Article  MathSciNet  MATH  Google Scholar 

  15. Riasanow, T., Jäntgen, L., Hermes, S., Böhm, M., Krcmar, H.: Core, intertwined, and ecosystem-specific clusters in platform ecosystems: analyzing similarities in the digital transformation of the automotive, blockchain, financial, insurance and IIoT industry. Electron. Mark. 31(1), 89–104 (2020). https://doi.org/10.1007/s12525-020-00407-6

    Article  Google Scholar 

  16. Engert, M., Hein, A., Krcmar, H.: Partner programs and complementor assessment in platform ecosystems: a multiple-case study. In: Americas Conference on Information Systems (AMCIS), 2020, no. August, pp. 1–10 (2020)

    Google Scholar 

  17. Sorri, K., Seppänen, M., Still, K., Valkokari, K.: Business model innovation with platform canvas. J. Bus. Model. 7(2), 1–13 (2019)

    Google Scholar 

  18. Cusumano, M.A., Gawer, A., Yoffie, D.B.: Platform versus non-platform company performance: some exploratory data analysis, 1995–2015. Softw. Bus. Platforms Ecosyst. Fundam. Softw. Prod. Res., 171 (2018)

    Google Scholar 

  19. Parker, G., Van Alstyne, M., Choudary, S.: Platform Revolution: How Networked Markets are TRANSFORMING the Economy and How to Make them Work for You. W.W. Nort. Co., New York (2016)

    Google Scholar 

  20. Sandberg, J., Holmström, J., Lyytinen, K.: Digitization and phase transitions in platform organizing logics: evidence from the process automation industry. Manag. Inf. Syst. Q. 44(1), 129–153 (2020). https://doi.org/10.25300/MISQ/2020/14520

    Article  Google Scholar 

  21. van Dijck, J.: Governing digital societies: private platforms, public values. Comput. Law Secur. Rev. 36, 105377 (2020). https://doi.org/10.1016/j.clsr.2019.105377

    Article  Google Scholar 

  22. Roma, P., Vasi, M.: Diversification and performance in the mobile app market: the role of the platform ecosystem. Technol. Forecast. Soc. Change 147(2019), 123–139 (2019). https://doi.org/10.1016/j.techfore.2019.07.003

    Article  Google Scholar 

  23. Zhang, Z.: Infrastructuralization of Tik Tok: transformation, power relationships, and platformization of video entertainment in China. Media Cult. Soc. 43, 219–236 (2020). https://doi.org/10.1177/0163443720939452

    Article  Google Scholar 

  24. Smith, R.: Why nations fail: the origins of power, prosperity, and poverty. Rusi J. (2012). https://doi.org/10.1080/03071847.2012.733122

    Article  Google Scholar 

  25. Models, P., Goals, S.D.: Data for Sustainable Platform Economy : Connections between Platform Models and Sustainable Development Goals (2021)

    Google Scholar 

  26. Dorosh, P., Thurlow, J.: Beyond agriculture versus non-agriculture: decomposing sectoral growth-poverty linkages in five African Countries. World Dev. 109, 440–451 (2018). https://doi.org/10.1016/j.worlddev.2016.08.014

    Article  Google Scholar 

  27. NEPAD. Agriculture in Africa - Transformation and Outlook, Johannesburg (2013)

    Google Scholar 

  28. de Bont, C., Komakech, H.C., Veldwisch, G.J.: Neither modern nor traditional: farmer-led irrigation development in Kilimanjaro Region, Tanzania. World Dev. 116, 15–27 (2018). https://doi.org/10.1016/j.worlddev.2018.11.018

    Article  Google Scholar 

  29. Adisa, O.M., Masinde, M., Botai, J.O.: Assessment of the dissimilarities of EDI and SPI measures for drought determination in South Africa. Water 13(1), 82 (2021)

    Article  Google Scholar 

  30. Masinde, M., Mwagha, M., Tadesse, T.: Downscaling Africa’s drought forecasts through integration of indigenous and scientific drought forecasts using fuzzy cognitive maps. Geosci. 8, 135 (2018). https://doi.org/10.3390/geosciences8040135

    Article  Google Scholar 

  31. OECD-FAO. Agriculture in Sub-Saharan Africa: Prospects and challenges for the next decade. In: OECD-FAO Agricultural Outlook 2016–2025, vol. 181, pp. 59–95. OECD Publishing, Paris (2016)

    Google Scholar 

  32. Masinde, M.: An innovative drought early warning system for sub-Saharan Africa: integrating modern and indigenous approaches. Afr. J. Sci. Technol. Innov. Dev. 7(1), 8–25 (2015)

    Article  Google Scholar 

  33. Masinde, M.: ITIKI success story: classic application of design thinking. In: IST-Africa 2020 Conference Proceedings, pp. 1–9 (2020)

    Google Scholar 

  34. Masinde, M., Mwagha, M., Tadesse, T.: Downscaling africa’s drought forecasts through integration of indigenous and scientific drought forecasts using fuzzy cognitive maps. Geosciences 8(4), 135 (2018). https://doi.org/10.3390/geosciences8040135

    Article  Google Scholar 

  35. Masinde, M., Thothela, P.N.: ITIKI Plus: A Mobile Based Application for Integrating Indigenous Knowledge and Scientific Agro-Climate Decision Support for Africa’s Small-Scale Farmers (2019). https://doi.org/10.1109/INFOCT.2019.8711059

  36. Merung, J.A., Darmawan, D.P., Windia, W., Astiti, N.W.S.: Empowerment of youth agribusiness entrepreneurs using social capital based business models canvas in North Sulawesi. Mod. Econ. 10(02), 347–358 (2019). https://doi.org/10.4236/me.2019.102023

    Article  Google Scholar 

  37. GSMA Intelligence. Commercial Model and Business Case for Agri VAS. In: Agricultural Value Added Services (Agri VAS): Market Entry Toolkit, pp. 37–43 (2010)

    Google Scholar 

  38. SAP. Value Creation in the Digital Agribusiness Network (2016)

    Google Scholar 

  39. Vorley, B., Lundy, M., Macgregor, J.: Business models that are inclusive of small farmers. Agro-Industries Dev., 186–222 (2009). https://doi.org/10.1079/9781845935764.0186

  40. Kirk, R.E.: Experimental Design, 2nd edn. Wiley Online Library, Hoboken (2012)

    Google Scholar 

  41. Shiau, W.L., Chen, S.Y., Tsai, Y.C.: Management information systems issues: Co-citation analysis of journal articles. Int. J. Electron. Commer. Stud. 6(1), 145–162 (2015). https://doi.org/10.7903/ijecs.1393

    Article  Google Scholar 

  42. van Eck, N.J., Waltman, L.: Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics 111(2), 1053–1070 (2017). https://doi.org/10.1007/s11192-017-2300-7

    Article  Google Scholar 

  43. White, H.D., McCain, K.W.: Visualizing a discipline: an author co-citation analysis of information science, 1972–1995. J. Am. Soc. Inf. Sci. 49(4), 327–355 (1998). https://doi.org/10.1002/(SICI)1097-4571(19980401)49:4%3c327::AID-ASI4%3e3.0.CO;2-W

    Article  Google Scholar 

  44. Bryman, A., Bell, E., Hirschsohn, P., dos Santos, A., du Toit, J., Masenge, A.: Research Methodology: Business and Management Contexts. Oxford University Press, Oxford (2014)

    Google Scholar 

  45. Liedtka, J.: Perspective: linking design thinking with innovation outcomes through cognitive bias reduction. J. Prod. Innov. Manag. 32(6), 925–938 (2015). https://doi.org/10.1111/jpim.12163

    Article  Google Scholar 

  46. Moore, J.F.: Predators and prey: a new ecology of competition. Harv. Bus. Rev. 71, 75–86 (1993)

    Google Scholar 

  47. Scholten, S., Scholten, U.: Platform-based innovation management: directing external innovational efforts in platform ecosystems. J. Knowl. Econ. 3(2), 164–184 (2012). https://doi.org/10.1007/s13132-011-0072-5

    Article  Google Scholar 

  48. Iivari, M.M., Ahokangas, P., Komi, M., Tihinen, M., Valtanen, K.: Toward ecosystemic business models in the context of industrial internet. J. Bus. Model. 4(2), 42–59 (2016). https://doi.org/10.5278/ojs.jbm.v4i2.1624

    Article  Google Scholar 

  49. Osterwalder, A.: The business model ontology a proposition in a design science approach. Dr. Diss. Univ. Lausanne, Fac. des hautes études Commer. (2004)

    Google Scholar 

  50. Evans, P., Gawer, A.: The center for global enterprise the rise of the platform enterprise. Cent. Glob. Enterp. 1, 1–30 (2016). https://doi.org/10.4236/ajibm.2014.49051

    Article  Google Scholar 

  51. Isckia, T., De Reuver, M., Lescop, D.: Orchestrating platform ecosystems: the interplay of innovation and business development subsystems. J. Innov. Econ. Manag. 32(2), 197–223 (2020). https://doi.org/10.3917/jie.032.0197

    Article  Google Scholar 

  52. Jacobides, M.G., Cennamo, C., Gawer, A.: Towards a theory of ecosystems. Strateg. Manag. J. 39(8), 2255–2276 (2018). https://doi.org/10.1002/smj.2904

    Article  Google Scholar 

  53. Gawer, A., Henderson, R.: Platform owner entry and innovation in complementary markets: evidence from intel. Cambridge, 11852 (2005)

    Google Scholar 

  54. Helfat, C.E., Raubitschek, R.S.: Dynamic and integrative capabilities for profiting from innovation in digital platform-based ecosystems. Res. Policy 47(8), 1391–1399 (2018). https://doi.org/10.1016/j.respol.2018.01.019

    Article  Google Scholar 

  55. Rong, K., Hu, G., Lin, Y., Shi, Y., Guo, L.: Understanding business ecosystem using a 6C framework in Internet-of-Things-based sectors. Int. J. Prod. Econ. 159(2015), 41–55 (2015). https://doi.org/10.1016/j.ijpe.2014.09.003

    Article  Google Scholar 

  56. Mohammed, S., Fiaidhi, J., Ramos, C., Kim, Tai-Hoon., Fang, W., Abdelzaher, T.: Blockchain in eCommerce: a special issue of the ACM transactions on Internet of Things blockchain in eCommerce: a special issue of the ACM transactions on Internet of Things. ACM Trans. Internet Technol. 21(1), 11–55 (2021). https://doi.org/10.1145/3445788

    Article  Google Scholar 

  57. Yadav, V.S., Singh, A.R.: A systematic literature review of blockchain technology in agriculture. In: Proceedings of International Conference on Industrial Engineering Operation Management, no. July, pp. 973–981 (2019)

    Google Scholar 

  58. Kramer, M.P., Bitsch, L., Hanf, J.: Blockchain and its impacts on agri-food supply chain network management. Sustain. 13(4), 1–22 (2021). https://doi.org/10.3390/su13042168

    Article  Google Scholar 

  59. Lee, M.-J., Luo, J.-T., Shao, J.-J., Huang, N.-F.: A trustworthy food resume traceability system based on blockchain technology, pp. 546–552 (2021). https://doi.org/10.1109/icoin50884.2021.9334025

  60. Fielke, S., Taylor, B., Jakku, E.: Digitalisation of agricultural knowledge and advice networks: a state-of-the-art review. Agric. Syst. 180, 102763 (2020). https://doi.org/10.1016/j.agsy.2019.102763

    Article  Google Scholar 

  61. Zutshi, A., Grilo, A., Nodehi, T.: The value proposition of blockchain technologies and its impact on Digital Platforms. Comput. Ind. Eng. 155, 107187 (2021). https://doi.org/10.1016/j.cie.2021.107187

    Article  Google Scholar 

  62. Yang, W., Zhang, J., Ma, R.: The prediction of infectious diseases: a bibliometric analysis. Int. J. Environ. Res. Public Health 17(17), 1–19 (2020). https://doi.org/10.3390/ijerph17176218

    Article  Google Scholar 

  63. Botai, J.O., et al.: A review of the water – energy – food nexus research in Africa. Sustainability 13, 1762 (2021)

    Article  Google Scholar 

  64. Adisa, O.M., Masinde, M., Botai, J.O.: Bibliometric analysis of methods and tools for drought monitoring and prediction in Africa. Sustainability 12(16), 6516 (2020)

    Article  Google Scholar 

  65. Li, K., Rollins, J., Yan, E.: Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis. Scientometrics 115(1), 1–20 (2017). https://doi.org/10.1007/s11192-017-2622-5

    Article  Google Scholar 

  66. Sridhara, G., Gantayat, N., Mani, S.: Fault in your stars : an analysis of android app reviews Rahul Aralika e. In: Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, pp. 57–66 (2018)

    Google Scholar 

  67. Liu, X., Liu, J., Zhu, S., Wang, W., Zhang, X.: Privacy risk analysis and mitigation of analytics libraries in the android ecosystem. IEEE Trans. Mobile Comput. 19(5), 1184–1199 (2019). https://doi.org/10.1109/TMC.2019.2903186

    Article  Google Scholar 

  68. Cao, B., Chen, J., Liu, J., Wen, Y.: A topic attention mechanism and factorization machines based mobile application recommendation method. Mob. Netw. Appl. 25(4), 1208–1219 (2020). https://doi.org/10.1007/s11036-020-01537-z

    Article  Google Scholar 

  69. Malik, H., Shakshuki, E.M., Yoo, W.S.: Comparing mobile apps by identifying ‘Hot’ features. Futur. Gener. Comput. Syst. 107, 659–669 (2020). https://doi.org/10.1016/j.future.2018.02.008

    Article  Google Scholar 

  70. Alibaba-Group. Alibaba Group Platform Governance Annual Report 2016 (2017)

    Google Scholar 

  71. Heeks, R.: i-development not e-development: special issue on ICTs and development. J. Int. Dev. 14, 1–11 (2002). https://doi.org/10.1002/jid.861

    Article  Google Scholar 

  72. Department of Agriculture Forestry and Fisheries. Agricultural Marketing Strategy for the Republic of South Africa, Pretoria (2010)

    Google Scholar 

  73. Intelligence, G.: Market size and market opportunity for agricultural value-added-services ( Agri VAS) (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Muthoni Masinde .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Masinde, M., Phoobane, P., Brown, J. (2022). Mkulima Platform: An Inclusive Business Platform Ecosystem that Integrates African Small-Scale Farmers into Agricultural Value Chain. In: Sheikh, Y.H., Rai, I.A., Bakar, A.D. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-031-06374-9_26

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06374-9_26

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06373-2

  • Online ISBN: 978-3-031-06374-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics