The Influence of Perceived Innovation Characteristics on Small-scale Commercial Farmers’ Perception of the Adoption of Mobile Applications in Makonde District, Zimbabwe

  • Tonderai J. Muzanenhamo Chinhoyi University of Technology
  • Chipo Plaxedes Mubaya Chinhoyi University of Technology
  • Maria Tsvere Chinhoyi University of Technology
Keywords: Perceived Innovation Characteristics, Small-Scale Commercial Farmers, Adoption of Mobile Applications, Makonde District, Zimbabwe
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Abstract

This study aims to examine the influence of perceived innovation characteristics on small-scale commercial farmers’ perception of the adoption of mobile applications in Makonde District, Zimbabwe. The study adopted the Diffusion of Innovations Theory (DIT) to understand the important concepts of the adoption of mobile applications to inform the analysis of the results. To collect data, the study used a bounded case study. The study employed a purposive sampling technique to select the study area and forty-eight small-scale commercial farmers for focus group discussions. Further, the study adopted snowball sampling to select twelve key informants, that is, lead farmers, agricultural extension officers, mobile applications developers, agricultural researchers and network providers referred by agricultural extension personnel for in-depth interviews. The study employed thematic analysis to analyze data into codes, themes and sub-themes. The research demonstrates that the importance of each perceived innovation characteristic in the adoption process of mobile applications for improved small-scale commercial agriculture is different. Relative advantage and observability were the most important characteristics of the adoption of mobile applications for improved small-scale commercial agriculture. The research highlighted that small-scale commercial farmers are more likely to embrace mobile phone applications that possess a high relative advantage, are less complex, highly compatible, are trial-able and exhibit visibility of results. The study consolidates and presents the perceived innovation characteristics, offering researchers valuable insights into the adoption patterns of mobile applications among small-scale commercial agriculture. The research findings have implications for policy-makers and mobile application developers

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References

Abdullahi, H. O. (2021, February 25). Determinants of ICT adoption among small-scale agribusiness enterprises in Somalia. International Journal of Engineering Trends and Technology, 69(2), 68-76. Retrieved February 1, 2022, from https://doi.org/10.14445/22315381/ijet-v69i2p210

Abdul-Majid, M. Z. (2024). Influence of technology adoption on farmers' well-being: Systematic literature review and bibliometric analysis. Heliyon, 10, e24316.

Abubakari, K. D. (2023, April 30). Toward e-agriculture in Ghana: Effect of mobile phone access and usage on household crop income. Retrieved May 30, 2023, from https://doi.org/23311932.2023.2202893

Adams, A., & Jumpah, E. T. (2021, January 1). Agricultural technologies adoption an smallholder farmers' welfare: Evidence from Ghana. Cogent Economics and Finance, 1-20. Retrieved February 1, 2022, from https://doi.org/10.1080/23322039.2021.2006905

Ahmad, B. S. (2024). Experience of farmers using mobile phone for farming information flow in Boro rice production: A case study of EASTERN GANGETIC PLAIN. Social Sciences & Humanities Open, 9, 100811. doi:10.1016/j.ssaho.2024.100811

Akter, A. T. (2023, December 21). Agro-based Mobile Applications Adoption among Bangladesh Framers at the 'Hamlet of Bangladesh: A case Study of Chapindura Village of Barisal. Retrieved January 20, 2024, from https://doi.org/10.17576/jkmjc-2023-3904-17

Antony, A. P. (2020, May 6). A review of practice and implementation of the Internet of Things (IoT) for smallholder agriculture. Sustainability, 3750-3750. Retrieved February 26, 2022, from https://doi.org/10.3390su12093750

Aparo, N. O. (2022). Unraveling heterogeneity in farmers's adoption of mobile phone technologies: A systematic review. Technological Forecasting and Social Change, 185, 122048. doi: 10.1016/j.techfore.2022.122048

Astuti, R. P. (2022). Innovation characteristics and technology adoption on Probi_FM in the implementation of an integrated farming system in Bangaka Tengah. Jurnal Ilmu-Ilmu OPeternakan, 32(2), 159-166. Retrieved from http://jiip.ub.ac.id

Barrios, D. O.-A. (2023, January 1). Factors associated with the adoption of mobile applications for management of diary herds. Retrieved March 11, 2023, from https://doi.org/10.1590/1806-9479.2022.264382

Caffaro, F. C. (2020). Drivers of farmers' intention to adopt technological innovations in Italy: The role of information sources, Perceived usefulness and perceived ease of. Journal of Rural Studies, 76. doi: 10.1016/j.jrurstud.2020.04.028

Coggins, S., McCampbell, M., Sharma, A., Sharma, R., Haefele, S. M., Karki, E., . . . Brown, B. (2022, March 1). How have smallholder farmers used digital extension tools? Developer and user voices from sub-Saharan Africa, South Asia and Southeast Asia. Global Food Security, 32, 1-10. Retrieved April 19, 2022, from https://doi.org/10.16/j.gfs.2021.100577

Dhehibhi, B. D. (2023). A contextual ICT model to explain adoption of mobile applications in developing countries: A case study of Tunisia. PLOS ONE, 18(10), e0287219. Retrieved December 19, 2023, from https://doi.org/10.1371/journal.pone.0287219

Diao, X. R. (2023, January 1). The future of small farms: Innovations for inclusive transformation. Springer eBooks, 191-205. Retrieved March 11, 2023, from https://doi.org/10.1007/978-3-031-15703-5_10

Diaz, A. C., Nophea, S., Tsusaka, T. W., & Szabo, S. (2021, October 1). Factors affecting farmer's willingness to adopt a mobile app in the marketing of bamboo products. Resources, Conservation and Recycling Advances, 200056. Retrieved February 10, 2022, from https://doi.org/10.1016/j.rcrdv.2021.200056

Dissanayake, C. A., Jayathilake, W., Wickramasuriya, H. V., Dissanayake, U., & Wasala, W. M. (2022, May 1). A review of factors affecting technology Adoption in Agricultural Sector. The Journal of Agricultural Sciences, 17(2), 280-296. Retrieved August 20, 2022, from https://doi.org/10.4038/jas.v17i2.9743

Duc, Q. N. (2023, January 26). Determinants of smartphone adoption and its benefits to the financial performance of agricultural households: Evidence from Hoa Binh Province, Vietnam. Retrieved March 13, 2023, from https://doi.org/10.55493/5005.v13i1.4709

Elahi, E. K. (2022, March). Understanding farmers' intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture. Applied Energy, 309(2), 118459. doi:10.1016/j.apenergy.2021.118459

Emeana, E. M., Trenchard, L., & Dehene-Schmutz, K. (2020, January 8). The revolution of mobile phone enabled services for agricultural development (m-Agri services) in Africa: The challenges of for sustainability. 12(2), 485. Retrieved February 10, 2022, from https://doi.org/10.3390/su12020485

Gandasari, D. D. (2020). Analysis of innovation attributes in the innovation adoption of agricultural mechanisation technology in farmers. Journal of Development Communication, 19(01), 38-51. Retrieved from https://doi.org/10.46937/19202132705

Greenhalgh, T., Robert, G., MacFarlane, F., Bate, P., & Kyriakidu, O. (2004). Diffusion of innovation in service organisations: Systematic review and recommendations. Milbank Quarterly, pp. 581-629.

Hoang, H. G. (2020, March 16). Determinants of the adoption of mobile phones for fruit marketing by Vietnamese farmers. World Development Perspect, 17, 100178. Retrieved February 3, 2022, from https: //doi.org/10.1016/j.wdp.2020.100178

Kaine, G. W. (2022). Relative Advantage and complexity: Predicting the rate of adoption of agricultural innovations. Front. Agron., 4(967605), 967605. doi:10.3389/fagro.2022.967605

Karunathilake, E. M. (2023). The Path to Smart Farming: Innovations and Opportunities in Precision Agriculture. Agriculture, 1593. Retrieved from https//doi.org/10.3390/agriculture13081593

Kudama, G. D. (2021, January 1). Will digital solution transform sub-Saharan African agriculture? Artificial Intelligence in Agriculture, 5, 292-300. Retrieved April 29, 2022, from https://doi.org/10.1016/j.aiia.2021.12.001

Kumar, A. D. (2020, October 3). Examining institutional credit access among agricultural households in Eastern India: Trends, patterns and determinants. Agricultural Financial Review, 81(2), 250-264. Retrieved May 26, 2022, from https://doi.org/10.1108/afr-042020-0054

Landmann, D., Lagerkvist, C. J., & Otter, V. (2021). Determinants of Small-Scale Framers' Intention to Use Smartphones for Generating Agricultural Knowledge in Developing Countries: Evidence from Rural India. The European Journal of Development Research, 33, 1435- 1454. doi: https://doi.org/10.1057/s41287-020-00284-x

Li, H., Huang, D., Ma, Q., Qi, W., & Li, H. (2020). Factors influencing the technology adoption behaviours of litchi farmers in China. Sustainability, 12(1), 271.

Ma, W. M. (2023, July 1). An introduction to rural and agricultural development in the digital age. Retrieved August 20, 2023, from https://doi.org/10.1111/rode.13025

Mahata, C. M. (2022). Factors affecting adoption of mobile phone applications among farmers in Lilongwe, Malawi: The case of Mchikumbe 212. International Conference on Multidisciplinary Research. Blantyre: Malawi University of Business and Applied Sciences. Retrieved December 21, 2022, from https://doi.org/10.26803/MyRes.20222.28

Masere, T. P., & Worth, S. (2021). Influence of public agricultural extension on technology adoption by smallscale farmers in Zimbabwe. S. A fr. J. Agric. Ext., 49(2), 25-42.

Masi, M. D. (2022). The long way to innovation adoption: Insights from precision agriculture. Agricultural and Food Economics, 1-17. Retrieved from https://doi.org/10.1186/s40100-022-00236-5

Mehra, A., Paul, J., & Kaurov, R. S. (2020). Determinants of mobile apps adoption among young adults: Theoretical extension and analysis. Journal of Marketing Communications, 27(2), 1-29. doi:10.1080/13527266.2020.1725780

Misaki, E. (2021, September). Small-scale farmers' awareness of e-agriculture: A pathway for livelihood development in Mkuranga, Tanzania. 1- 6. doi:10.1109/AFRICON51333.2021.9570889

Mutambara, H. (2021, January 1). Use of mobile phones in communicating agricultural information in smallholder farming systems in Zimbabwe. Retrieved August 12, 2021

Mutuma, S. N. (2023, October 8). Extent of adoption of mobile phone applications by smallholder diary farmers in Tharaka Nithi County, Kenya. Retrieved December 10, 2023, from https://doi.org/10.1080/23311932.2023.2265225

Nyagadza, B. M. (2022, November 24). Rural small-scale farmers' smart mobile phone usage acceptance prognosticators for agricultural marketing information access. SN Soc Sci, 2(256). Retrieved December 19, 2022, from https://doi.org/10.1007/s43545-022-00562-x

Nyaplue-Daywhea, C. A.-F.-N. (2021, November). Mobile phone -assosted agricultural extension services: User competency and usage frequency in Eastern Africa. Afri. J. Food Agric. Nutr. Dev, 21(10), 1886-18911. Retrieved March 18, 2022, from https://doi.org/10.18697/ajfand.105.20335

Ojiako-Chigozie, C. G. (2024). Farmers' Innovation and dopter Categories: Inhibitors and Characteristics: A review. Direct Research Journal of Agriculture and Food Science, 12(2), 240- 247. Retrieved from https://doi.org/10.26765/DRIAFS77475837

Okoroji, V., Lees, N. J., & Lucock, X. (2021, January 31). Factors affecting the adoption of mobile applications by farmers: An empirical investigation. African Journal of Agricultural Research, 19-29. Retrieved March 13, 2022, from https://doi.org/10.5897/AJAR2020.14909

Osman, M. I. (2022, March 7). Mobile user interface design for smallholder agriculture to be a smart farmers: A scoping Review. Journal of Information System and Technology Management, 7(25), 92-101. Retrieved November 21, 2023, from https://doi.org/10.35631/jistm.725007

Pannell, D. J. (2020). Understanding the adoption of innovations in Agriculture: A review of selected conceptual models. Agronomy, 11(1), 139. Retrieved from https;//doi.org/10.3390/agronomy11010139

Pillai, R. S. (2020). Adoption of Internet of Things (IoT) in the agriculture industry deploying the BRT framework. Benchmarking: An International Journal, 27. doi:10.1108/BIJ-08-2019-0361

Quandt, A., Salerno, J. D., Neff, J. C., Baird, T. D., Herrick, J. E., McCabe, J. T., . . . Hartter, J. (2020, August 6). Mobile use is associated with higher smallholder agricultural productivity in Tanzania, East Africa. PLoS one, 15, e0237337. Retrieved February 1, 2022, from https://doi.org/10.1371/journal.pone.0237337

Rizzo, G. M. (2023, August 16). Key factors influencing farmers' adoption of sustainable innovations: A systemetic literature review and research agenda. Org. Agr. Retrieved December 22, 2023, from https://doi.org/10.1007/s13165-023-00440-7

Rogers, E. M. (1995). Diffusion of Innovations (4th ed). New York: Free Press.

Rogers, E. M. (2003). Diffusion of Innovations. 3rd Ed. New York: The Free Press.

Schulz, P. P. (2021, April 10). Exploring the role of smartphone applications for livestock farmers: data management, extension and informed decision-making. The Journal of Agricultural Education and Extension, 28(1), 93-114. Retrieved March 13, 2022, from https://doi.org/10.1080/1389224x.2021.1910524

Shang, L., Heckelei, T., Gerullis, M. K., Borner, J., & Rasch, S. (2021, January 23). Adoption and diffusion of digital farming technologies-Integrating farm-level evidence and system interaction. Agricultural Systems, 190, 103074. Retrieved April 13, 2022, from https://doi.org/10.1016/j.agay.2021.103074

Sidibe, A., Olabisi, L., Doumba, H., Toure, K., & Niamba, C. A. (2021, January 1). Barriers and Enablers of the use of digital technologies for sustainable agricultural development and food security: Learning from cases in Mali. Elementa, 9(1). Retrieved January 08, 2022, from http://doi.org/10.1525/elementa.2020.00106.

Singh, R. D. (2020, August 28). Sustaining crop production in rainfed areas in India: Issues and strategies. Current Journal of Applied Science and Technology, 154-173. Retrieved March 13, 2022, from https://doi.org/10.9734/cjast/2020v39i2530895

Strong, R., Waynn, J. T., Lindner, J. R., & Palmer, K. (2022). Evaluating Brazilian Agriculturists' IoT Smart Agriculture Adoption Barriers: Understanding stakeholder salience prior to launching an innovation. Sensors, 22, 6833. doi: http://doi.org/10.3390/s22186833

Suri, T., & Udry, C. (2022, February 1). Agricultural Technology in Africa. Journal of Economic Perspectives, 36(1), 33-56. Retrieved January 22, 2023, from https://doi.org/10.1257/jep.36.1.33

Thar, S. P., Ramilan, T., Farquharson, R. J., Pang, A., & Chen, D. (2020, November 16). An empirical analysis of the use of agricultural mobile applications among smallholder farmers in Myanmar. The Electronic Journal of Information Systems in Developing Countries, 87(2), 1-14. Retrieved February 21, 2022, from https://doi.org/101.1002/isd2.12159

Timpanaro, G. P. (2023). Exploring innovation adoption behaviour for sustainable development of the Mediterranean tree crops. Front. Sustain. Food Syst., 7. Retrieved from https://doi.org/10.3389/fufs.2023.1092942

Wang, B. D. (2023, May 9). Research on the farmers' agricultural digital service use behaviour under the rural revitalisation strategy-Based on the extended technology acceptance model. Frontiers in Environmental Science. Retrieved August 12, 2023, from https://doi.org/10.26855/ijfsa.2020.06.010

Yakamo, S. (2020, June 1). Adoption of Improved Agricultural Technologies in Developing Countries: Literature Review. International Journal of the science of food and Agriculture, 4(2), 183-190. doi:10.26855/ijfsa.2020.06.010

Published
4 December, 2024
How to Cite
Muzanenhamo, T., Mubaya, C., & Tsvere, M. (2024). The Influence of Perceived Innovation Characteristics on Small-scale Commercial Farmers’ Perception of the Adoption of Mobile Applications in Makonde District, Zimbabwe. East African Journal of Interdisciplinary Studies, 7(1), 471-488. https://doi.org/10.37284/eajis.7.1.2481