Designing a user-centric mobile-based agro advisory system for sustainable development of smallholder farming systems in the eastern Himalayas, India

References

• Adomavicius, G., Bockstedt, J. C., Gupta, A., & Kauffman, R. J. (2008). Making sense of technology trends in the information technology landscape: A design science approach. MIS Quarterly, 32(4), 779–809. https://doi.org/10.2307/25148872
   Web of Science ®Google Scholar
• Aker, J. C. (2011). Dial “A” for agriculture: A review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics, 42(6), 631–647. https://doi.org/10.1111/j.1574-0862.2011.00545.x
   Web of Science ®Google Scholar
• Akpabio, I. A., Okon, D. P., & Inyang, E. B. (2007). Constraints affecting ICT utilization by agricultural extension officers in the Niger Delta, Nigeria. Journal of Agricultural Education and Extension, 13(4), 263–272. https://doi.org/10.1080/13892240701630986
   Google Scholar
• Alderete, M. V. (2017). Examining the ICT access effect on socioeconomic development: The moderating role of ICT use and skills. Information Technology for Development, 23(1), 42–58. https://doi.org/10.1080/02681102.2016.1238807
   Web of Science ®Google Scholar
• Alshawi, S., & Alalwany, H. (2009). E-government evaluation: Citizen’s perspective in developing countries. Information Technology for Development, 15(3), 193–208. https://doi.org/10.1002/itdj.20125
   Web of Science ®Google Scholar
• Alvi, M., Barooah, P., Gupta, S., & Saini, S. (2021). Women's access to agriculture extension amidst COVID-19: Insights from Gujarat, India and Dang, Nepal. Agricultural Systems, 188, 103035. https://doi.org/10.1016/j.agsy.2020.103035
   Web of Science ®Google Scholar
• Anastasios, M., Koutsouris, A., & Konstadinos, M. (2010). Information and communication technologies as agricultural extension tools: A survey among farmers in West Macedonia, Greece. The Journal of Agricultural Education and Extension, 16(3), 249–263. https://doi.org/10.1080/1389224X.2010.489767
   Google Scholar
• Arinloye, D. D. A., Linnemann, A. R., Hagelaar, G., Coulibaly, O., & Omta, O. S. (2015). Taking profit from the growing use of mobile phone in Benin: A contingent valuation approach for market and quality information access. Information Technology for Development, 21(1), 44–66. https://doi.org/10.1080/02681102.2013.859117
   Web of Science ®Google Scholar
• Baro, E. E., & Endouware, B. C. (2013). The effects of mobile phone on the socio-economic life of the rural dwellers in the Niger Delta region of Nigeria. Information Technology for Development, 19(3), 249–263. https://doi.org/10.1080/02681102.2012.755895
   Web of Science ®Google Scholar
• Bass, J. M., Nicholson, B., & Subhramanian, E. (2013). A framework using institutional analysis and the capability approach in ICT4D. Information Technologies & International Development, 9(1), 19–35. https://itidjournal.org/index.php/itid/article/download/1028/1028-2872-1-PB.pdf.
   Google Scholar
• Baumüller, H. (2018). The little we know: An exploratory literature review on the utility of mobile phone enabled services for smallholder farmers. Journal of International Development, 30(1), 134–154. https://doi.org/10.1002/jid.3314
   Web of Science ®Google Scholar
• Biemba, G., Chiluba, B., Yeboah-Antwi, K., Silavwe, V., Lunze, K., Mwale, R. K., Russpatrick, S., & Hamer, D. H. (2017). A mobile-based community health management information system for community health workers and their supervisors in 2 districts of Zambia. Global Health: Science and Practice, 5(3), 486–494. https://doi.org/10.9745/GHSP-D-16-00275
   PubMed Web of Science ®Google Scholar
• Birner, R., Davis, K., Pender, J., Nkonya, E., Anandajayasekeram, P., Ekboir, J., Mbabu, A., Spielman, D. J., Horna, D., Benin, S., & Cohen, M. (2009). From best practice to best fit: A framework for designing and analyzing pluralistic agricultural advisory services worldwide. The Journal of Agricultural Education and Extension, 15(4), 341–355. https://doi.org/10.1080/13892240903309595
   Google Scholar
• Bryan, E., Deressa, T. T., Gbetibouo, G. A., & Ringler, C. (2009). Adaptation to climate change in Ethiopia and South Africa: Options and constraints. Environmental Science & Policy, 12(4), 413–426. https://doi.org/10.1016/j.envsci.2008.11.002
   Web of Science ®Google Scholar
• Bueno-Delgado, M. V., Molina-Martínez, J. M., Correoso-Campillo, R., & Pavón-Mariño, P. (2016). Ecofert: An android application for the optimization of fertilizer cost in fertigation. Computers and Electronics in Agriculture, 121, 32–42. https://doi.org/10.1016/j.compag.2015.11.006
   Web of Science ®Google Scholar
• Burling, R. (2013). The ‘sixth’ vowel in the Boro-Garo languages. In G. Hyslop, S. Morey, & M. W. Post (Eds.), North East Indian linguistic (pp. 28–32). Vol-5, Foundation Books, Cambridge University Press India Pvt. Ltd. https://doi.org/10.1017/9789382993285.
   Google Scholar
• Burrell, J., & Oreglia, E. (2015). The myth of market price information: Mobile phones and the application of economic knowledge in ICTD. Economy and Society, 44(2), 271–292. http://doi.org/10.1080/03085147.2015.1013742
   Web of Science ®Google Scholar
• Cai, T., & Abbott, E. (2013). Using video as a replacement or complement for the traditional lecture/demonstration method in agricultural training in rural Uganda. Journal of Applied Communication, 97(4), 1–15. https://doi.org/10.4148/1051-0834.1127
   Google Scholar
• Caine, A., Dorward, P., Clarkson, G., Evans, N., Canales, C., & Stern, D. (2015). Review of mobile applications that involve the use of weather and climate information: Their use and potential for smallholder farmers. (CCAFS Working Paper no. 150, Tech. Rep.). CGIAR Research Programme on Climate Change, Agriculture and Food Security (CCAFS). www.ccafs.cgiar.org.
   Google Scholar
• Camacho, A., & Conover, E. (2010). The impact of receiving price and climate information in the agricultural sector. Documento CEDE, (2010–40).
   Google Scholar
• Carmona, M. A., Sautua, F. J., Pérez-Hernández, O., & Mandolesi, J. I. (2018). Agrodecisor EFC: First Android™ app decision support tool for timing fungicide applications for management of late-season soybean diseases. Computers and Electronics in Agriculture, 144, 310–313. https://doi.org/10.1016/j.compag.2017.11.028
   Web of Science ®Google Scholar
• Census of India. (2011). Meghalaya Religion Data: Census 2011. http://www.census2011.co.in/data/religion/state/17-meghalaya.html.
   Google Scholar
• Chen, Y., Pereira, I., & Patel, P. (2021). Decentralized governance of digital platforms. Journal of Management, 47(5), 1305–1337. https://doi.org/10.1177/0149206320916755
   Web of Science ®Google Scholar
• Cheney, C. (2018). Want to reach the world’s poorest? Design for dumb phones. https://www.devex.com/news/want-to-reach-the-world-s-poorest-design-for-dumb-phones-90993.
   Google Scholar
• Chew, H. E., Ilavarasan, V. P., & Levy, M. R. (2015). Mattering matters: Agency, empowerment, and mobile phone use by female microentrepreneurs. Information Technology for Development, 21(4), 523–542. https://doi.org/10.1080/02681102.2013.839437
   Web of Science ®Google Scholar
• Chohan, S. R., & Hu, G. (2022). Strengthening digital inclusion through e-government: Cohesive ICT training programs to intensify digital competency. Information Technology for Development, 28(1), 16–38. https://doi.org/10.1080/02681102.2020.1841713
   Web of Science ®Google Scholar
• Cole, S., & Fernando, A. N. (2012). The value of advice: Evidence from mobile phone-based agricultural extension. Harvard Business School working paper. 13–047.
   Google Scholar
• Crandall, A. (2012). Kenyan farmers’ use of cell phones: Calling preferred over SMS. In Proceedings of M4D, New Delhi, India 28 (29) 119.
   Google Scholar
• Crawford, L. M. (2020). Conceptual and theoretical frameworks in research. Foundation in Research Design, Part I. pp. 35–48, SAGE Publications, Inc. https://uk.sagepub.com/sites/default/files/upm-assets/105274_book_item_105274.pdf.
   Google Scholar
• Dannenberg, P., & Kulke, E. (2005). The importance of agrarian clusters for rural areas-results of case studies in eastern Germany and western Poland. Die Erde, 136, 291–309. https://www.academia.edu/18563227/The_Importance_of_Agrarian_Clusters_for_Rural_Areas_Results_of_Case_Studies_in_Eastern_Germany_and_Western_Poland.
   Google Scholar
• Deichmann, U., Goyal, A., & Mishra, D. (2016). Will digital technologies transform agriculture in developing countries? Policy Research Working Paper No. 7669. World Bank, Washington DC. https://openknowledge.worldbank.org/handle/10986/24507.
   Google Scholar
• Dillon, B. (2012). Using mobile phones to collect panel data in developing countries. Journal of International Development, 24(4), 518–527. https://doi.org/10.1002/jid.1771
   Web of Science ®Google Scholar
• Donovan, K. (2017). Anytime, anywhere: Mobile devices and services and their impact on agriculture and rural development. In: ICT in agriculture (Updated Edition): Connecting smallholders to knowledge, networks, and institutions (pp. 49–70). https://doi.org/10.1596/978-1-4648-1002-2_Module3.
   Google Scholar
• Duncombe, R. (2016). Mobile phones for agricultural and rural development: A literature review and suggestions for future research. The European Journal of Development Research, 28(2), 213–235. https://doi.org/10.1057/ejdr.2014.60
   Web of Science ®Google Scholar
• Fafchamps, M., & Minten, B. (2012). Impact of SMS-based agricultural information on Indian farmers. The World Bank Economic Review, 26(3), 383–414. https://doi.org/10.1093/wber/lhr056
   Web of Science ®Google Scholar
• Fasasi, R. O., & Heukelman, D. (2017). ICT: Performance evaluation of community development worker’s in South Africa on e-skills. Information Technology for Development, 23(2), 388–402. https://doi.org/10.1080/02681102.2017.1283285
   Web of Science ®Google Scholar
• Ferroni, M., & Zhou, Y. (2012). Achievements and challenges in agricultural extension in India. Global Journal of Emerging Market Economies, 4(3), 319–346. https://doi.org/10.1177/0974910112460435
   Google Scholar
• Fu, X., & Akter, S. (2016). The impact of mobile phone technology on agricultural extension services delivery: Evidence from India. The Journal of Development Studies, 52(11), 1561–1576. https://doi.org/10.1080/00220388.2016.1146700
   Web of Science ®Google Scholar
• Fue, K. K. G., Tumbo, S. D., & Sanga, C. A. (2015). Experts’ assignment algorithm for cloudbased agro-advisory service information system (CASIS) using weighted sum model: Piloting CASIS. In Proceedings and report of the 8th UbuntuNet Alliance annual conference, 2015. Sokoine University of Agriculture, Morogoro, Tanzania. (pp. 70–75). http://www.suaire.sua.ac.tz/handle/123456789/717.
   Google Scholar
• Ganesan, M., Karthikeyan, K., Prashant, S., & Umadikar, J. (2013). Use of mobile multimedia agricultural advisory systems by Indian farmers: Results of a survey. Journal of Agricultural Extension and Rural Development, 5(4), 89–99. https://doi.org/10.5897/JAERD13.0466
   Google Scholar
• Gangopadhyay, P. K., Khatri-Chhetri, A., & Shirsath, P. B. (2019). Spatial targeting of ICT-based weather and agro-advisory services for climate risk management in agriculture. Climatic Change, 154(1), 241–256. https://doi.org/10.1007/s10584-019-02426-5
   Web of Science ®Google Scholar
• Gauld, R., Goldfinch, S., & Horsburgh, S. (2010). Do they want it? Do they use it? The “demand-side” of E-government in Australia and New Zealand. Government Information Quarterly, 27(2), 177–186. https://doi.org/10.1016/j.giq.2009.12.002
   Web of Science ®Google Scholar
• Gollakota, K., Pick, J. B., & Sathyapriya, P. (2012). Using technology to alleviate poverty: Use and acceptance of telecenters in rural India. Information Technology for Development, 18(3), 185–208. https://doi.org/10.1080/02681102.2011.643195
   Web of Science ®Google Scholar
• Gomez, R., & Day, S. A. (2013). Research questions, paradigms and methods in ICT for Development: content analysis of selected ICTD literature, 2000– 2010. In N. Hayes, & R. L. La Rovere (Eds.), Into the future: Themes insights and agendas for ICT4D research and practice (pp. 301–317). Ocho Rios, Jamaica: IFIP WG9.4.
   Google Scholar
• Graham, M. (2019). Changing connectivity and digital economies at global margins. In M. Graham (Ed.), Digital economies at global margins (pp. 1–18). International Development Research Centre, MIT Press.
   Google Scholar
• Guhathakurta, P., Bhagwat, P. P., Satpute, U. S., Menon, P., Prasad, A. K., Sable, S. T., & Advani, S. C. (2020). Observed rainfall variability and changes over Meghalaya state. (Met Monograph No.: ESSO/IMD/HS/Rainfall Variability/17(2020)/41). Meteorological Monograph of Climate Research and Services, India Meteorological Department, Ministry of Earth Sciences, Government of India. http://imdpune.gov.in/hydrology/rainfall%20variability%20page/meghalaya_final.pdf.
   Google Scholar
• Heeks, R. (2008). ICT4D 2.0: The next phase of applying ICT for international development. Computer, 41(6), 26–33. https://doi.org/10.1109/MC.2008.192
   Web of Science ®Google Scholar
• Heeks, R. (2010). Do information and communication technologies (ICTs) contribute to development? Journal of International Development, 22(5), 625–640. https://doi.org/10.1002/jid.1716
   Web of Science ®Google Scholar
• Heeks, R. (2016). Examining “digital development”: The shape of things to come? (GDI development informatics working papers, no. 64) (pp. 1–84).
   Google Scholar
• Hevner, A. R., & Chatterjee, S. (2010). Design research in information systems: Theory and practice. Springer.
   Google Scholar
• Hosman, L. J., & Armey, L. E. (2017). Taking technology to the field: Hardware challenges in developing countries. Information Technology for Development, 23(4), 648–667. https://doi.org/10.1080/02681102.2017.1363028
   Web of Science ®Google Scholar
• Hu, G., Yan, J., Pan, W., Raza, S., & Piao, C. (2018). The influencing path of public engaging intention in the value co-creation of e-gov services: An empirical investigation. In 22nd Pacific Asia Conference on Information Systems (PACIS 2018), 65–78. https://aisel.aisnet.org/pacis2018/65.
   Google Scholar
• Jain, L., Kumar, H., & Singla, R. K. (2015). Assessing mobile technology usage for knowledge dissemination among farmers in Punjab. Information Technology for Development, 21(4), 668–676. https://doi.org/10.1080/02681102.2013.874325
   Web of Science ®Google Scholar
• Jensen, R. (2007). The digital provide: Information (technology), market performance, and welfare in the South Indian fisheries sector. The Quarterly Journal of Economics, 122(3), 879–924. https://doi.org/10.1162/qjec.122.3.879
   Web of Science ®Google Scholar
• Kansiime, M. K., Alawya, A., Allen, C., Subharwal, M., Jadhav, A., & Parr, M. (2019). Effectiveness of mobile agri-advisory service extension model: Evidence from Direct2Farm program in India. World Development Perspectives, 13, 25–33. https://doi.org/10.1016/j.wdp.2019.02.007
   Google Scholar
• Kivunike, F. N., Ekenberg, L., Danielson, M., & Tusubira, F. F. (2011). Perceptions of the role of ICT on quality of life in rural communities in Uganda. Information Technology for Development, 17(1), 61–80. https://doi.org/10.1080/02681102.2010.511698
   Web of Science ®Google Scholar
• Kotini, I., Mattas, A., & Michailidis, A. (2011). Design and development of a web-based agricultural economic information system for rural areas. Outlook on Agriculture, 40(2), 139–145. https://doi.org/10.5367/oa.2011.0041
   Web of Science ®Google Scholar
• Krell, N. T., Giroux, S. A., Guido, Z., Hannah, C., Lopus, S. E., Caylor, K. K., & Evans, T. P. (2021). Smallholder farmers’ use of mobile phone services in central Kenya. Climate and Development, 13(3), 215–227. https://doi.org/10.1080/17565529.2020.1748847
   Web of Science ®Google Scholar
• Krone, M., & Dannenberg, P. (2018). A spatial perspective on access to knowledge and mobile phone use. Tijdschriftvoor Economischeen Sociale Geografie, 109(5), 613–628. https://doi.org/10.1111/tesg.12322
   Web of Science ®Google Scholar
• Lahiri, B. (2016). Agricultural information seeking behaviour of Garo tribal farmers of Meghalaya, India. Ecology, Environment and Conservation, 22, 227–236.
   Google Scholar
• Lahiri, B., Anurag, S., Chauhan, J. K., Sangma, A. K., & Sangma, S. M. (2017). Mobile phone use efficiency of Garo tribal farmers in north- eastern Himalayan region of India. Indian Research Journal of Extension Education, 17(1), 24–31.
   Google Scholar
• Lahiri, B., Anurag, T. S., Marak, B. R., Sangma, A. K., & Sangma, S. M. (2020). Development of mobile based fishery advisory prototype: An experience with fisher tribes of Garo Hills in North-Eastern Himalayan region of India. Indian Journal of Fisheries, 67(3), 10–17. https://doi.org/10.21077/ijf.2020.67.3.88288-02
   Web of Science ®Google Scholar
• Lahiri, B., & Das, P. (2010). Role of Nokma (village headman) in agriculture of West Garo Hills, Meghalaya. Journal of Extension Education, 15(1&2), 72–82.
   Google Scholar
• Lamm, K. W., Lamm, A. J., Davis, K., & Jyothiswaroop, B. (2017). Identifying knowledge management capacity needs of rural advisory service networks. Journal of International Agricultural and Extension Education, 24(2), 93–106. https://doi.org/10.5191/jiaee.2017.24207
   Google Scholar
• Lantzos, T., Koykoyris, G., & Salampasis, M. (2013). Farm manager: An android application for the management of small farms. Procedia Technology, 8, 587–592. https://doi.org/10.1016/j.protcy.2013.11.084
   Google Scholar
• Lio, M., & Liu, M. C. (2006). ICT and agricultural productivity: Evidence from cross-country data. Agricultural Economics, 34(3), 221–228. https://doi.org/10.1111/j.1574-0864.2006.00120.x
   Web of Science ®Google Scholar
• Lwoga, E. T., & Sangeda, R. Z. (2018). ICTs and development in developing countries: A systematic review of reviews. Electronic Journal of Information Systems in Developing Countries, 85, 1–17. https://doi.org/10.1002/isd2.12060
   Web of Science ®Google Scholar
• Ma, L., & Zheng, Y. (2018). Does e-government performance boost citizen use? Evidence from European countries. Public Management Review, 20(10), 1513–1532. https://doi.org/10.1080/14719037.2017.1412117
   Web of Science ®Google Scholar
• Madon, S., Ranjini, C. R., & Anantha Krishnan, R. K. (2022). Aadhaar and social assistance programming: Local bureaucracies as critical intermediary. Information Technology for Development, 28(4), 705–720. https://doi.org/10.1080/02681102.2021.2021130
   Web of Science ®Google Scholar
• Mann, L., & Iazzolino, G. (2021). From development state to corporate leviathan: Historicizing the infrastructural performativity of digital platforms within Kenyan agriculture. Development and Change, 52(4), 829–854. https://doi.org/10.1111/dech.12671
   Web of Science ®Google Scholar
• Mapiye, O., Makombe, G., Mapiye, C., & Dzama, K. (2020). Management information sources and communication strategies for commercially oriented smallholder beef cattle producers in Limpopo province, South Africa. Outlook on Agriculture, 49(1), 50–56. https://doi.org/10.1177/0030727019860273
   Web of Science ®Google Scholar
• Marathe, M., Chandra, P., Kameswaran, V., Kano, T., & Ahmed, S. I. (2016). In search of missing pieces: A re-examination of trends in ICTD research. In S. Wyche & J. Srinivasan (Eds.), Proceedings of the eighth international conference on information and communication technologies and development (pp. 1–4). Association for Computing Machinery. https://doi.org/10.1145/2909609.2909644.
   Google Scholar
• March, S. T., & Smith, G. F. (1995). Design and natural science research on information technology. Decision Support Systems, 15(4), 251–266. https://doi.org/10.1016/0167-9236(94)00041-2
   Web of Science ®Google Scholar
• Maredia, M. K., Reyes, B., Ba, M. N., Dabire, C. L., Pittendrigh, B., & Bello-Bravo, J. (2018). Can mobile phone-based animated videos induce learning and technology adoption among low-literate farmers? A field experiment in Burkina Faso. Information Technology for Development, 24(3), 429–460. https://doi.org/10.1080/02681102.2017.1312245
   Web of Science ®Google Scholar
• Mbanda-Obura, S. A., Tabu, I. M., Amudavi, D. M., & Obura, R. K. (2017). Determinants of choice of agricultural information sources and pathways among sorghum farmers in Ndhiwa Sub-Country, Western Kenya. International Journal of Agricultural Extension, 5(1), 39–49. https://esciencepress.net/journals/index.php/IJAE/article/view/2012.
   Google Scholar
• Mcnutt, J. G., & Boland, K. M. (1999). Electronic advocacy by nonprofit organizations in social welfare policy. Nonprofit and Voluntary Sector Quarterly, 28(4), 432–451. https://doi.org/10.1177/0899764099284004
   Web of Science ®Google Scholar
• Mittal, S. (2018). Role of mobile phone-enabled climate information services in gender-inclusive agriculture. Gender, Technology and Development, 20(2), 200–217. https://doi.org/10.1177/0971852416639772
   Google Scholar
• Mittal, S., Gandhi, S., & Tripathi, G. (2010). Socio-economic impact of mobile phones on Indian agriculture (Tech. Rep. Working Paper, No. 246). Indian Council for Research on International Economic Relations (ICRIER).
   Google Scholar
• Mittal, S., & Mehar, M. (2013). Agricultural information networks, information needs and risk management strategies: A survey of farmers in Indo-Gangetic plains of India. Socioeconomics Working Paper 10. Mexico, DF: CIMMYT. https://repository.cimmyt.org/xmlui/bitstream/handle/10883/3225/98167.pdf?sequence=4.
   Google Scholar
• Morey, S. (2013). The marking of noun phrases: Some observations on the languages of North East India. In G. Hyslop, S. Morey, & M. W. Post (Eds.), North East Indian linguistic. Vol-5. Foundation Books, Cambridge University Press India Pvt. Ltd. https://doi.org/10.1017/9789382993285.
   Google Scholar
• Mtega, W. P., & Msungu, A. C. (2013). Using information and communication technologies for enhancing the accessibility of agricultural information for improved agricultural production in Tanzania. The Electronic Journal on Information Systems in Developing Countries, 56(1), 1–14. http://www.ejisdc.org/ojs2/index.php/ejisdc/article/viewFile/1110/457.
   Google Scholar
• Mugwisi, T., Mostert, J., & Ocholla, D. N. (2015). Access to and utilization of information and communication technologies by agricultural researchers and extension workers in Zimbabwe. Information Technology for Development, 21(1), 67–84. https://doi.org/10.1080/02681102.2013.874317
   Web of Science ®Google Scholar
• Munyua, H. (2007). ICTs and small-scale agriculture in Africa. A scoping study. IDRC. http://www.idrc.ca/uploads/user-S/12212542261Final_Report_HMunya.pdf.
   Google Scholar
• Murata, F., Hayashi, T., Matsumoto, J., & Asada, H. (2007). Rainfall on the Meghalaya plateau in northeastern India-One of the rainiest places in the world. Natural Hazards, 42(2), 391–399. https://link.springer.com/article/10.1007s11069-006-9084-z.
   Web of Science ®Google Scholar
• Naeher, D., & Schündeln, M. (2022). The demand for advice: Theory and empirical evidence from farmers in Sub-Saharan Africa. The World Bank Economic Review, 36(1), 91–113. https://doi.org/10.1093/wber/lhab001
   Web of Science ®Google Scholar
• Nakasone, E. (2013). The role of price information in agricultural markets: Experimental evidence from rural Peru [Paper presentation]. 2013 Annual Meeting of the Agricultural and Applied Economics Association (AAEA), Washington, DC.
   Google Scholar
• Nakasone, E., & Torero, M. (2016). A text message away: ICTs as a tool to improve food security. Agricultural Economics, 47(S1), 49–59. https://doi.org/10.1111/agec.12314
   Web of Science ®Google Scholar
• Nakasone, E., Torero, M., & Minten, B. (2014). The power of information: The ICT revolution in agricultural development. Annual Review of Resource Economics, 6(1), 533–550. https://doi.org/10.1146/annurev-resource-100913-012714
   Web of Science ®Google Scholar
• Namyenya, A., Daum, T., Rwamigisa, P. B., & Birner, R. (2021). E-diary: A digital tool for strengthening accountability in agricultural extension. Information Technology for Development, 28(2), 319–345. https://doi.org/10.1080/02681102.2021.1875186
   Web of Science ®Google Scholar
• Nicholson, B., Nielsen, P., & Saebo, J. (2021). Editorial – digital platforms for development. Special Issue: Digital Platforms for Development, 31(6), 863–868. https://doi.org/10.1111/isj.12364
   Web of Science ®Google Scholar
• Nmadu, J., Aiyelitsoya, N., F, A., & Sallawu, H. (2013). Use of ICT in securing marketing information among small scale farmers in Niger State, Nigeria. International Journal of Trade, Economics and Finance, 4(2), 66–72. https://doi.org/10.7763/IJTEF.2013.V4.262
   Google Scholar
• Obayelu, A. E., & Ogunlade, I. (2006). Analysis of the uses of information and communication technology for gender empowerment and sustainable poverty alleviation in Nigeria. International Journal of Education and Development, 2(3), 45–69. https://www.proquest.com/openview/daa09fdbf03b5b49ece348df13b339a7/1.
   Google Scholar
• Ochara, N. M., & Mawela, T. (2015). Enabling social sustainability of E-participation through mobile technology. Information Technology for Development, 21(2), 205–228. https://doi.org/10.1080/02681102.2013.833888
   Web of Science ®Google Scholar
• Odini, S. (2014). Access to and use of agricultural information by small scale women farmers in support of efforts to attain food security in Vihiga County, Kenya. Journal of Emerging Trends in Economics and Management Sciences, 5(2), 80–86. https://hdl.handle.net/10520/EJC152937.
   Google Scholar
• Ortiz-Crespo, B., Steinke, J., Quirós, C. F., van den Gevel, J., Daudi, H., Mgimiloko, M. G., & van Etten, J. (2021). User-centred design of a digital advisory service: Enhancing public agricultural extension for sustainable intensification in Tanzania. International Journal of Agricultural Sustainability, 19(5–6), 566–582. https://doi.org/10.1080/14735903.2020.1720474
   Web of Science ®Google Scholar
• Pather, S., & Uys, C. (2010). A strategy for evaluating socio-economic outcomes of an ICT4D programme. In Proceedings of the 43rd Hawaii International Conference on System Sciences (pp. 1–11). Honolulu.
   Google Scholar
• Paudel, R., Baral, P., Lamichhane, S., & Marahatta, B. P. (2018). ICT based agro-advisory services in Nepal. Journal of the Institute of Agriculture and Animal Science, 35(1), 21–28. https://doi.org/10.3126/jiaas.v35i1.22510
   Google Scholar
• Paulin, D., & Suneson, K. (2012). Knowledge transfer, knowledge sharing and knowledge barriers– three blurry terms in KM. Electronic Journal of Knowledge Management, 10(1), 81–91. https://academic-publishing.org/index.php/ejkm/article/view/953/916.
   Google Scholar
• Pavan Kumar, S. T., Lahiri, B., Nageswararao, M. M., Alvarado, R., & Sangma, S. N. (2023). Trend analysis and changepoint detection of monthly, seasonal, and annual climatic parameters in the Garo Hills of Northeast India. Ecological Informatics, 75, 102104. https://doi.org/10.1016/j.ecoinf.2023.102104
   Web of Science ®Google Scholar
• Pongnumkul, S., Chaovalit, P., & Surasvadi, N. (2015). Applications of smartphone-based sensors in agriculture: A systematic review of research. Journal of Sensors, 2015, 1–18. https://doi.org/10.1155/2015/195308
   Web of Science ®Google Scholar
• Qiang, C. Z., Kuek, S. C., Dymond, A., & Esselaar, S. (2012). Mobile applications for agriculture and rural development. Report for the ICT Sector Unit, The World Bank, Washington DC, USA, May. https://openknowledge.worldbank.org/handle/10986/21892.
   Google Scholar
• Qureshi, S. (2022). Harnessing knowledge networking for global capability sourcing: The development imperative. Information Technology for Development, 28(1), 1–15. https://doi.org/10.1080/02681102.2022.2022881
   Web of Science ®Google Scholar
• Raja, S., Melhem, S., Cruse, M., Goldstein, J., Maher, K., Minges, M., & Surya, P. (2012). Making government mobile. Information and Communications for Development 2012 (pp. 87–101). World Bank Group e Library. https://doi.org/10.1596/9780821389911_ch06.
   Google Scholar
• Rana, S. (2017). Mobile Based Agro Advisory Services (MAAS) in India: An assessment of their effectiveness. Project Report, Post Graduate Diploma in Management (Agriculture), ICAR Research Data Repository for Knowledge Management, ICAR-National Academy of Agricultural Research Management, Hyderabad, India. http://eprints.naarm.org.in/234/1/Final%20Project_Sheesham%20Rana_MAAS%20%2817-4-2017%29.pdf.
   Google Scholar
• Ranjini, C. R. (2021). Controversial COVID-19 contact-tracing App in India: Digital self-defence, governance and surveillance. In C. Garvey & A. Hanemaayer (Eds.), Artificial intelligence and its discontents: Histories of AI across the social sciences and humanities (pp. 179–196). Palgrave.
   Google Scholar
• Ray, L. I. P., Bora, P. K., Singh, A. K., Singh, N. J., Singh, R., & Feroze, S. M. (2014). Rainfall characteristics, pattern and distribution of central Meghalaya. Journal of Indian Water Resources Society, 34(2), 9–16.
   Google Scholar
• Rivera, W. M. (2007). Agricultural extension into the next decade. European Journal of Agricultural Education and Extension, 4(1), 29–38. https://doi.org/10.1080/13892249785300131
   Google Scholar
• Roztocki, N., & Weistroffer, H. R. (2016). Conceptualizing and researching the adoption of ICT and the impact on socioeconomic development. Information Technology for Development, 22(4), 541–549. https://doi.org/10.1080/02681102.2016.1196097
   Web of Science ®Google Scholar
• Saidu, A., Clarkson, A. M., Adamu, S. H., Mohammed, M., & Jibo, I. (2017). Application of ICT in agriculture: Opportunities and challenges in developing countries. International Journal of Computer Science and Mathematical Theory, 3(1), 8–18. https://iiardpub.org/get/IJCSMT/VOL.%203%20NO.%201%202017/Application%20of%20ICT.pdf.
   Google Scholar
• Samoilenko, S. V. (2016). Where do investments in telecoms come from? Developing and testing a framework of sustained economic impact of investments in information and communication technologies. Information Technology for Development, 22(4), 584–605. https://doi.org/10.1080/02681102.2014.927348
   Web of Science ®Google Scholar
• Santa, R., MacDonald, J. B., & Ferrer, M. (2019). The role of trust in e-government effectiveness, operational effectiveness and user satisfaction: Lessons from Saudi Arabia in e-G2B. Government Information Quarterly, 36(1), 39–50. https://doi.org/10.1016/j.giq.2018.10.007
   Web of Science ®Google Scholar
• Santosham, S., & Lindsey, D. (2015). Bridging the gender gap: Mobile access and usage in low-and middle-income countries (Tech. Rep.). GSMA.
   Google Scholar
• Saravanan, R., & Bhattacharjee, S. (2014). Mobile phone applications for agricultural extension in India. In R. Saravanan (Ed.), Mobile phones for agricultural extension: Worldwide mAgri innovations and promise for future (pp. 6–39). New India Publishing Agency.
   Google Scholar
• Scoones, I., Amanor, K., Favareto, A., & Qi, G. (2016). A new politics of development cooperation? Chinese and Brazilian engagements in African agriculture. World Development, 81, 1–12. https://doi.org/10.1016/j.worlddev.2015.11.020
   Web of Science ®Google Scholar
• Sein, M. K., Thapa, D., Hatakka, M., & Sæbø, Ø. (2019). A holistic perspective on the theoretical foundations for ICT4D research. Information Technology for Development, 25(1), 7–25. https://doi.org/10.1080/02681102.2018.1503589
   Web of Science ®Google Scholar
• Sen, A. (1999). Development as freedom. Oxford University Press.
   Google Scholar
• Simon, H. A. (1996). The sciences of the artificial (3rd ed.). MIT Press.
   Google Scholar
• Sindir, K. O. (2005). Information and communication technologies in Turkish agriculture. Outlook on Agriculture, 34(1), 49–53. https://doi.org/10.5367/0000000053295105
   Web of Science ®Google Scholar
• Smidt, H. J. (2021). Factors affecting digital technology adoption by small-scale farmers in agriculture value chains (AVCs) in South Africa. Information Technology for Development, 28(3), 558–584. https://doi.org/10.1080/02681102.2021.1975256
   Web of Science ®Google Scholar
• Sowjanya, B. L., Banerjee, P. K., Punnarao, P., & Anurag, T. S. (2018). Impact of Annapurna Krishi Prasara Seva (AKPS) agro advisory services in east coastal districts of Andhra Pradesh. International Journal of Agricultural Science and Research, 8(4), 49–57. doi:10.24247/ijasraug20187
   Google Scholar
• Statistical Hand Book- Meghalaya. (2017). Directorate of economics & statistics, government of Meghalaya, Shillong, India. http://megplanning.gov.in/handbook/2017.pdf.
   Google Scholar
• Sulaiman, V. R., & Sadamate, V. V. (2000). Privatizing agricultural extension in India. Policy Paper 10, National Centre for Agricultural Economics and Policy Research (NCAP), New Delhi.
   Google Scholar
• Sun, P., Ku, C., & Shih, D. (2015). An implementation framework for e-government 2.0. Telematics and Informatics, 32(3), 504–520. https://doi.org/10.1016/j.tele.2014.12.003
   Web of Science ®Google Scholar
• Suri, G. S., & Abbott, P. Y. (2013). IT cultural enclaves and social change: The interplay between Indian cultural values and Western ways of working in an Indian IT organization. Information Technology for Development, 19(3), 193–214. https://doi.org/10.1080/02681102.2012.719860
   Web of Science ®Google Scholar
• Svensson, J., & Yanagizawa, D. (2009). Getting prices right: The impact of the market information service in Uganda. Journal of the European Economic Association, 7(2–3), 435–445. https://doi.org/10.1162/JEEA.2009.7.2-3.435
   Web of Science ®Google Scholar
• Syiem, R., Marak, B. R., & Bandyopadhyay, A. K. (2016). Innovative extension practices in East Khasi Hills district of Meghalaya: A case study. Indian Journal of Agricultural Research, 50(6), 579–583. https://doi.org/10.18805/ijare.v50i6.6678
   Google Scholar
• Takahashi, K., Muraoka, R., & Otsuka, K. (2020). Technology adoption, impact, and extension in developing countries’ agriculture: A review of the recent literature. Agricultural Economics, 51(1), 31–45. https://doi.org/10.1111/agec.12539
   Web of Science ®Google Scholar
• Thapa, D., & Omland, H. O. (2018). Four steps to identify mechanisms of ICT4D: A critical realism-based methodology. The Electronic Journal of Information Systems in Developing Countries, 84, e12054. https://doi.org/10.1002/isd2.12054
   Google Scholar
• Vaishnavi, V. K., & Kuechler, W. Jr. (2007). Design science research methods and patterns: Innovating information and communication technology. Auerbach Publications, Taylor & Francis Group.
   Google Scholar
• Vellidis, G., Liakos, V., Andreis, J. H., Perry, C. D., Porter, W. M., Barnes, E. M., Morgan, K. T., Fraisse, C., & Migliaccio, K. W. (2016). Development and assessment of a smartphone application for irrigation scheduling in cotton. Computers and Electronics in Agriculture, 127, 249–259. https://doi.org/10.1016/j.compag.2016.06.021
   Web of Science ®Google Scholar
• Viale-Pereira, G., Cunha, M. A., Lampoltshammer, T. J., Parycek, P., & Testa, M. G. (2017). Increasing collaboration and participation in smart city governance: A cross-case analysis of smart city initiatives. Information Technology for Development, 23(3), 526–553. https://doi.org/10.1080/02681102.2017.1353946
   Web of Science ®Google Scholar
• Wisdom, A., Baatjies, N., Biallas, M. O., Caire, D., Heitmann, S., Kasujja, A., Dueck-Mbeba, R., Mudiri, J., Naouar, R., Ndaw, C., Oulai, R., Ramji, M., Savonitto, B., & Wensley, M. (2018). Digital financial services for agriculture. International Finance Corporation, World Bank Group.
   Google Scholar
• World Bank. (2011). ICT in Agriculture: Connecting smallholders to knowledge, networks, and institutions, e-Sourcebook No.64605.
   Google Scholar
• Wyche, S., & Murphy, L. L. (2012). Dead China-make phones off the grid: Investigating and designing for mobile phone use in rural Africa. Proceedings of the designing interactive systems conference (pp. 186–195). Newcastle Upon Tyne, United Kingdom.
   Google Scholar
• Wyche, S., & Olson, J. (2018). Gender, mobile, and mobile internet-Kenyan women’s rural realities, mobile internet access, and “Africa rising”. Information Technologies & International Development (Special Section), 14, 33–47. https://itidjournal.org/index.php/itid/article/download/1595/1595-4899-1-PB.pdf.
   Web of Science ®Google Scholar
• Zheng, Y., Hatakka, M., Sahay, S., & Andersson, A. (2018). Conceptualizing development in information and communication technology for development (ICT4D). Information Technology for Development, 24(1), 1–14. https://doi.org/10.1080/02681102.2017.1396020
   Web of Science ®Google Scholar
• Zolotov, M. N., Oliveira, T., Cruz-Jesus, F., & Martins, J. (2018). Satisfaction with e-participation: A model from the citizen's perspective, expectations, and affective ties to the place. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.) Trends and advances in information systems and technologies. WorldCIST'18. Advances in Intelligent Systems and Computing (pp. 1049–1059). Cham: Springer. https://doi.org/10.1007/978-3-319-77703-0_102
   Google Scholar