Farmers’ intention to use text messaging for extension services in Trinidad

References

• Adamides, G., A. Stylianou, P. C. Kosmas, and C. D. Apostolopoulos. 2013. “Factors Affecting PC and Internet Usage by the Rural Population of Cyprus.” Agricultural Economics Review 14 (1): 16–36.
   Google Scholar
• Agarwal, R., and E. Karahanna. 2000. “Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage.” MIS Quarterly 24 (4): 665–694. doi:10.2307/3250951.
   Web of Science ®Google Scholar
• Agwu, A. E., J. N. Ekwueme, and A. C. Anyanwu. 2008. “Adoption of Improved Agricultural Technologies Disseminated via Radio Farmer Programme by Farmers in Enugu State, Nigeria.” African Journal of Biotechnology 7 (9): 1277–1286.
   Google Scholar
• Ajzen, I. 1991. “The Theory of Planned Behavior.” Organizational Behavior and Human Decision Processes 50 (2): 179–211. doi:10.1016/0749-5978(91)90020-T.
   Web of Science ®Google Scholar
• Alemu, D., and S. Negash. 2015. Mobile Information System for Small-Scale Rural Farmers. Technological Innovation in ICT for Agriculture and Rural Development. Chennai, India: IEEE.
   Google Scholar
• Ary, D., L. C. Jacobs, C. Sorenson, and D. A. Walker. 2014. Introduction to Research in Education. 9th ed. Belmont, CA: Wadsworth.
   Google Scholar
• Baksh, K., W. Ganpat, and L. K. Narine. 2015. “Occupational Health and Safety Issues among Vegetable Farmers in Trinidad and the Implications for Extension.” Journal of Agricultural Safety and Health 21 (3): 159–171. doi:10.13031/jash.21.11060.
   PubMed Web of Science ®Google Scholar
• Batte, M. T., and M. W. Arnholt. 2003. “Precision Farming Adoption and Use in Ohio: Case Studies of Six Leading-Edge Adopters.” Computers and Electronics in Agriculture 38 (2): 125–139. doi:10.1016/S0168-1699(02)00143-6.
   Google Scholar
• Cheong, W. H. 2002. “Internet Adoption in Macao.” Journal Computer-Mediated Communication 7 (2), doi:10.1111/j.1083-6101.2002.tb00140.x.
   Google Scholar
• Cronbach, L. J. 1951. “Coefficient Alpha and the Internal Structure of Tests.” Psychometrika 16 (3): 297–334. doi:10.1007/bf02310555.
   Web of Science ®Google Scholar
• Dillman, D. A., J. D. Smyth, and L. M. Christian. 2014. Internet, Phone, Mail and Mixed-Mode Surveys: The Tailored Design Method. 4th ed. Hoboken, NJ: John Wiley & Sons.
   Google Scholar
• DiMaggio, P., and J. Cohen. 2003. Information Inequality and Network Externalities: A Comparative Study of the Diffusion of Television and the Internet. Princeton, NJ: Princeton University.
   Google Scholar
• Dwivedi, Y. K., N. P. Rana, A. Jeyaraj, M. Clement, and M. D. Williams. 2017. “Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model.” Information Systems Frontiers 2017: 1–16. doi:10.1007/s10796-017-9774-y.
   Google Scholar
• Dyer, J. E., and E. W. Osborne. 1999. “The Influence of Science Applications in Agriculture Courses on Attitudes of Illinois Guidance Counselors at Model Student-Teaching Centers.” Journal of Agricultural Education 40 (4): 57–66. doi:10.5032/jae.1999.04057.
   Google Scholar
• Ekbia, H. R., and T. P. Evans. 2009. “Regimes of Information: Land use, Management, and Policy.” The Information Society 25 (5): 328–343. doi:10.1080/01972240903212789.
   Web of Science ®Google Scholar
• Engotoit, B., G. M. Kituyi, and M. B. Moya. 2016. “Influence of Performance Expectancy on Commercial Farmers’ Intention to Use Mobile-Based Communication Technologies for Agricultural Market Information Dissemination in Uganda.” Journal of Systems and Information Technology 18 (4): 346–363. doi:10.1108/JSIT-06-2016-0037.
   Google Scholar
• Field, A. 2013. Discovering Statistics Using IBM SPSS Statistics. Thousand Oaks, CA: Sage.
   Google Scholar
• Folitse, B. Y., S. A. Manteaw, L. P. Dzandu, G. Obeng-Koranteng, and S. Bekoe. 2018. “The Determinants of Mobile-Phone Usage among Small-Scale Poultry Farmers in Ghana.” Information Development 2018. doi:10.1177/0266666918772005.
   Google Scholar
• Franklin, E. A. 2011. “Greenhouse Facility Management Experts Identification of Competencies and Teaching Methods to Support Secondary Agricultural Education Instructors: A Modified Delphi Study.” Journal of Agricultural Education 52 (4): 150–161. doi:10.5032/jae.2011.04150.
   Google Scholar
• Ganpat, W. G. 2013. The History of Agricultural Extension in Trinidad and Tobago. Kingston, Jamaica: Randle.
   Google Scholar
• Ganpat, W., and C. de Freitas. 2010. “Caribbean Nations.” In ICTS for Agricultural Extension. Global Experiments, Innovations and Experiences, edited by R. Saravanan, 45–82. New Delhi: New India Publishing Agency.
   Google Scholar
• Ganpat, W., L. K. Narine, and A. Harder. 2017. “The Impact of Farm Visits on Farmers’ Satisfaction with Extension: Examining the Dependence on Individual Methods in the Caribbean.” Journal of International Agricultural and Extension Education 24 (3): 20–35. doi:10.5191/jiaee.2017.24303.
   Google Scholar
• Goodwin, B. K., and T. L. Kastens. 1996. “An Analysis of Marketing Frequency by Kansas Crop Producers.” Review of Agricultural Economics 18 (4): 575–584. doi:10.2307/1349591.
   Google Scholar
• Kwon, H. S., and L. Chidambaram. 2000. “A Test of the Technology Acceptance Model: The Case of Cellular Telephone Adoption.” The Hawaii International Conference on System Sciences 33: 1–10. doi:10.1109/HICSS.2000.926607.
   Google Scholar
• Mallenius, S., M. Rossi, and V. K. Tuunainen. 2007. “Factors Affecting the Adoption and use of Mobile Devices and Services by Elderly People – Results from a Pilot Study.” Proceedings of Annual Global Mobility Roundtable 6: 1–12.
   Google Scholar
• McCroskey, J. C., and T. J. Young. 1979. “The use and Abuse of Factor Analysis in Communication Research.” Human Communication Research 5 (4): 375–382. doi:10.1111/j.1468-2958.1979.tb00651.x.
   Google Scholar
• Narine, L. K., A. Harder, and T. G. Roberts. 2019. “Extension Officers’ Adoption of Modern Information Communication Technologies to Interact with Farmers of Trinidad.” Journal of International Agricultural and Extension Education 26 (1): 17–34. doi:10.5191/jiaee.2019.26103.
   Google Scholar
• Parker, S. 2016. “Perceptions of Ministry Extension’s Source Credibility in Trinidad.” Doctoral dissertation. The University of Florida.
   Google Scholar
• Ramjattan, J. 2017. “Factors Influencing the Use of Extension Methods, Tools and Techniques in Trinidad and Tobago.” Master’s dissertation. The University of the West Indies.
   Google Scholar
• Rogers, E. M. 2003. Diffusion of Innovations. New York: Free Press.
   Google Scholar
• Strong, R., W. Ganpat, A. Harder, T. L. Irby, and J. R. Lindner. 2014. “Exploring the use of Information Communication Technologies by Selected Caribbean Extension Officers.” Journal of Agricultural Education and Extension 20 (5): 485–495. doi:10.1080/1389224X.2014.927373.
   Google Scholar
• Taragola, N. M., and D. F. van Lierde. 2010. “Factors Affecting the Internet Behavior of Horticultural Growers in Flanders, Belgium.” Computers and Electronics in Agriculture 70 (2): 369–379. doi:10.1016/j.compag.2009.09.004.
   Web of Science ®Google Scholar
• Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. “User Acceptance of Information Technology: Toward a Unified View.” MIS Quarterly 27 (3): 425–478. doi: 10.2307/30036540
   Web of Science ®Google Scholar
• Warren, M. F., R. J. Soffe, and M. A. Stone. 2000. “Farmers, Computers and the Internet: A Study of Adoption in Contrasting Regions of England.” Farm Management 10 (11): 665–684.
   Google Scholar
• World Bank. 2017. ICT in Agriculture: Connecting Smallholders to Knowledge, Networks, and Institutions. Washington, DC: The World Bank. doi:10.1596/978-1-4648-1002-2.
   Google Scholar