Mobile phone adoption in agri-food sector: Are farmers in Sub-Saharan Africa connected?

Technological Forecasting and Social Change

Volumn 131, Issue , 2018, Pages 253-261

  Kabbiri, Ronald ^a,b   Dora, Manoj ^c   Kumar, Vikas ^d   Elepu, Gabriel ^e   Gellynck, Xavier ^a  

^a GHENT UNIVERSITY   (Belgium)

^b MOUNTAINS OF THE MOON UNIVERSITY   (Uganda)

^c BRUNEL UNIVERSITY   (United Kingdom)

^d UNIVERSITY OF THE WEST OF ENGLAND   (United Kingdom)

^e MAKERERE UNIVERSITY   (Uganda)

Author keywords

Dairy value chain; Extended technology adoption model; Smartphone use; Structural equation modelling; Uganda

Indexed keywords

AGRICULTURE; CELLULAR TELEPHONES; ECONOMIC AND SOCIAL EFFECTS; MOBILE DEVICES; MOBILE PHONES; TELEPHONE SETS;

FARMING COMMUNITIES; MOBILE PHONE USAGES; STRUCTURAL EQUATION MODELLING; SUB-SAHARAN AFRICA; TECHNOLOGY ACCEPTANCE MODEL; TECHNOLOGY ADOPTION MODELS; UGANDA; VALUE CHAINS;

CELLULAR TELEPHONE SYSTEMS;

EID: 85038921244     PISSN: 00401625     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.techfore.2017.12.010     Document Type: Article

References (68)

1. Abraham, R., Mobile phones and economic development: Evidence from the fishing industry in India. Information and communiction technologies and development. ICTD’06. International Conference on, 2006. IEEE, 2006, 48–56.
2. Aker, J., Information From Markets Near and far: Information Technology, Search Costs and Grain Markets. 2009, Mimeo, Tufts University.
3. Aker, J.C., Dial “A” for Agriculture: Using Information and Communication Technologies for Agricultural Extension in Developing Countries. 37, 2010, Tuft University, Economics Department and Fletcher School, Medford MA02155.
4. Aker, J.C., Fafchamps, M., Mobile phone coverage and producer markets: evidence from West Africa. The World Bank Economic Review 29 (2015), 262–292.
5. Aker, J.C., Ksoll, C., Can mobile phones improve agricultural outcomes? Evidence from a randomized experiment in Niger. Food Policy 60 (2016), 44–51.
6. Aker, J.C., Mbiti, I.M., Mobile phones and economic development in Africa. J. Econ. Perspect. 24 (2010), 207–232.
7. Albiman, M.M., Sulong, Z., The role of ICT use to the economic growth in Sub Saharan African region (SSA). Journal of Science and Technology Policy Management 7 (2016), 306–329.
8. Amankwah-Amoah, J., Solar energy in Sub-Saharan Africa: the challenges and opportunities of technological leapfrogging. Thunderbird International Business Review 57 (2015), 15–31.
9. Amankwah-Amoah, J., Global business and emerging economies: towards a new perspective on the effects of e-waste. Technol. Forecast. Soc. Chang. 105 (2016), 20–26.
10. Asongu, S.A., Le Roux, S., Enhancing ICT for Inclusive Human Development in Sub-Saharan Africa. 2016.
11. Asongu, S.A., Nwachukwu, J.C., The mobile phone in the diffusion of knowledge for institutional quality in Sub-Saharan Africa. World Dev. 86 (2016), 133–147.
12. Batchelor, S., Scott, N., Valverde, A., Manfre, C., Edwards, D., Is There a Role for Mobiles to Support Sustainable Agriculture in Africa? 2nd International Conference on ICT for Sustainability (ICT4S 2014), 272–280. 2014.
13. Bayard, B., Jolly, C., Environmental behavior structure and socio-economic conditions of hillside farmers: a multiple-group structural equation modeling approach. Ecol. Econ. 62 (2007), 433–440.
14. Bhavnani, A., Chiu, R.W.-W., Janakiram, S., Silarszky, P., Bhatia, D., The Role of Mobile Phones in Sustainable Rural Poverty reduction. 2008 (retrieved November, 22, 2008).
15. Chavula, H.K., The role of ICTs in agricultural production in Africa. Journal of Development and Agricultural Economics 6 (2014), 279–289.
16. Chuttur, M.Y., Overview of the technology acceptance model: origins, developments and future directions. Working Papers on Information Systems, 9, 2009, 9–37.
17. Conci, M., Pianesi, F., Zancanaro, M., Useful, social and enjoyable: mobile phone adoption by older people. Human-computer interaction–INTERACT 2009 (2009), 63–76.
18. Costantini, V., Liberati, P., Technology transfer, institutions and development. Technol. Forecast. Soc. Chang. 88 (2014), 26–48.
19. Croppenstedt, A., Demeke, M., Meschi, M.M., Technology adoption in the presence of constraints: the case of fertilizer demand in Ethiopia. Rev. Dev. Econ. 7 (2003), 58–70.
20. Deichmann, U., Goyal, A., Mishra, D., Will digital technologies transform agriculture in developing countries?. Agric. Econ. 47 (2016), 21–33.
21. Doss, C.R., Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement. Agric. Econ. 34 (2006), 207–219.
22. Faida, M., Chain Empowerment: Supporting African Farmers to Develop Markets. 2006.
23. FAO, WTO Agreement on Agriculture: the implementation experience — developing country case studies. Thomas, H., (eds.) Commodities and Trade Division, 2003, Food and Agriculture Organization of the United Nations (FAO), Rome.
24. Feder, G., Just, R.E., Zilberman, D., Adoption of agricultural innovations in developing countries: a survey. Econ. Dev. Cult. Chang. 33 (1985), 255–298.
25. Fisher, M., Snapp, S., Smallholder farmers'perceptions of drought risk and adoption of modern maize in southern Malawi. Exp. Agric. 50 (2014), 533–548.
26. Fisher, M., Abate, T., Lunduka, R.W., Asnake, W., Alemayehu, Y., Madulu, R.B., Drought tolerant maize for farmer adaptation to drought in sub-Saharan Africa: determinants of adoption in eastern and southern Africa. Clim. Chang. 133 (2015), 283–299.
27. Fuchs, C., Horak, E., Africa and the digital divide. Telematics Inform. 25 (2008), 99–116.
28. Galang, R.M.N., Government efficiency and international technology adoption: the spread of electronic ticketing among airlines. J. Int. Bus. Stud. 43 (2012), 631–654.
29. Goggin, G., Clark, J., Mobile phones and community development: a contact zone between media and citizenship. Dev. Pract. 19 (2009), 585–597.
30. GSM, The Mobile Economy Sub-Saharan Africa 2015. GSMA Intelligence. 2015 (Regional report https://gsmaintelligence. com/research).
31. GSMA, The Mobile Economy 2016. 2016.
32. Gurtner, S., Reinhardt, R., Soyez, K., Designing mobile business applications for different age groups. Technol. Forecast. Soc. Chang. 88 (2014), 177–188.
33. Jain, L., Kumar, H., Singla, R., Assessing mobile technology usage for knowledge dissemination among farmers in Punjab. Inf. Technol. Dev. 21 (2015), 668–676.
34. James, J., From the relative to the absolute digital divide in developing countries. Technol. Forecast. Soc. Chang. 76 (2009), 1124–1129.
35. James, J., Leapfrogging in mobile telephony: a measure for comparing country performance. Technol. Forecast. Soc. Chang. 76 (2009), 991–998.
36. James, J., Versteeg, M., Mobile phones in Africa: how much do we really know?. Soc. Indic. Res., 84, 2007, 117.
37. Kassie, M., Jaleta, M., Shiferaw, B., Mmbando, F., Mekuria, M., Adoption of interrelated sustainable agricultural practices in smallholder systems: evidence from rural Tanzania. Technol. Forecast. Soc. Chang. 80 (2013), 525–540.
38. Kassie, M., Teklewold, H., Jaleta, M., Marenya, P., Erenstein, O., Understanding the adoption of a portfolio of sustainable intensification practices in eastern and southern Africa. Land Use Policy 42 (2015), 400–411.
39. Katz, J.E., Handbook of Mobile Communication Studies. 2008, The MIT Press.
40. Khonje, M., Manda, J., Alene, A.D., Kassie, M., Analysis of adoption and impacts of improved maize varieties in eastern Zambia. World Dev. 66 (2015), 695–706.
41. Kibere, F.N., The paradox of mobility in the Kenyan ICT ecosystem: an ethnographic case of how the youth in Kibera slum use and appropriate the mobile phone and the mobile internet. Inf. Technol. Dev. 22 (2016), 47–67.
42. Kim, D.Y., Park, J., Morrison, A.M., A model of traveller acceptance of mobile technology. Int. J. Tour. Res. 10 (2008), 393–407.
43. Labonne, J., Chase, R.S., The Power of Information: The Impact of Mobile Phones on farmers’ Welfare in the Philippines. 2009.
44. Liu, I.-F., Chen, M.C., Sun, Y.S., Wible, D., Kuo, C.-H., Extending the TAM model to explore the factors that affect intention to use an online learning community. Comput. Educ. 54 (2010), 600–610.
45. Luarn, P., Lin, H.-H., Toward an understanding of the behavioral intention to use mobile banking. Comput. Hum. Behav. 21 (2005), 873–891.
46. Malhotra, Y., Galletta, D.F., Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation. Systems sciences. HICSS-32. Proceedings of the 32nd annual Hawaii international conference on, 1999. IEEE, 14 pp, 1999.
47. Martin, B., Abbott, E., Development calling: the use of mobile phones in agriculture development in Uganda. International Federation for Information Processing (IFIP), Technical Commission, 2010.
48. Mathieson, K., Peacock, E., Chin, W.W., Extending the technology acceptance model: the influence of perceived user resources. ACM SigMIS Database 32 (2001), 86–112.
49. Mittal, S., Tripathi, G., Role of mobile phone technology in improving small farm productivity1. Agric. Econ. Res. Rev. 22 (2009), 451–459.
50. Mittal, S., Gandhi, S., Tripathi, G., Socio-Economic Impact of Mobile Phones on Indian Agriculture, Indian Council for Research on International Economic Relations New Delhi. 2010.
51. Muto, M., Yamano, T., The impact of mobile phone coverage expansion on market participation: panel data evidence from Uganda. World Dev. 37 (2009), 1887–1896.
52. Nabhani, I., Daryanto, A., Rifin, A., Mobile broadband for the farmers: a case study of technology adoption by cocoa farmers in Southern East Java, Indonesia. AGRIS on-line Papers in Economics and Informatics, 8, 2016, 111.
53. Ndiritu, S.W., Kassie, M., Shiferaw, B., Are there systematic gender differences in the adoption of sustainable agricultural intensification practices? Evidence from Kenya. Food Policy 49 (2014), 117–127.
54. Nikou, S., Mezei, J., Evaluation of mobile services and substantial adoption factors with analytic hierarchy process (AHP). Telecommun. Policy 37 (2013), 915–929.
55. Osabutey, E.L., Jin, Z., Factors Influencing Technology and Knowledge Transfer: Configurational Recipes for Sub-Saharan Africa. 2016 (Journal of Business Research).
56. Ouma, S.A., Odongo, T.M., Were, M., Mobile Financial Services and Financial Inclusion: Is it a Boon for Savings Mobilization?. 2017 (Review of Development Finance).
57. Overå R., Networks, distance, and trust: telecommunications development and changing trading practices in Ghana. World Dev. 34 (2006), 1301–1315.
58. Pai, F.-Y., Huang, K.-I., Applying the technology acceptance model to the introduction of healthcare information systems. Technol. Forecast. Soc. Chang. 78 (2011), 650–660.
59. Park, E., Del Pobil, A.P., Technology acceptance model for the use of tablet PCs. Wirel. Pers. Commun. 73 (2013), 1561–1572.
60. Raykov, T., Estimation of composite reliability for congeneric measures. Appl. Psychol. Meas. 21 (1997), 173–184.
61. Rouse, M., Definition of Digital Divide. 2014.
62. Sekabira, H., Qaim, M., Can Mobile Phones Improve Gender Equality and Nutrion? Panel Data Evidence from Farm Households in Uganda. 2017, GlobalFood Discussion Papers.
63. Shimamoto, D., Yamada, H., Gummert, M., Mobile phones and market information: evidence from rural Cambodia. Food Policy 57 (2015), 135–141.
64. Tadesse, G., Bahiigwa, G., Mobile phones and farmers’ marketing decisions in Ethiopia. World Dev. 68 (2015), 296–307.
65. UBOS, 2016 Statistical Abstract. http://www.ubos.org/publications/statistical-abstract/, 2016.
66. Wang, Q., Sun, X., Investigating gameplay intention of the elderly using an extended technology acceptance model (ETAM). Technol. Forecast. Soc. Chang. 107 (2016), 59–68.
67. Wu, J.-H., Wang, S.-C., What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inf. Manag. 42 (2005), 719–729.
68. Wyche, S., Steinfield, C., Why don't farmers use cell phones to access market prices?. Technology Affordances and Barriers to Market Information Services Adoption in Rural Kenya. Information Technology for Development, 2015, 1–14.