IJBTT

Determinants of ICT Adoption Among Small Scale Agribusiness Enterprises In Somalia

	International Journal of Engineering Trends and Technology (IJETT)
	© 2021 by IJETT Journal
	Volume-69 Issue-2
	Year of Publication : 2021
	Authors : Husein Osman Abdullahi, Abdikarim Abi Hassan, Murni Mahmud, Abdifatah Farah Ali
	DOI :  10.14445/22315381/IJETT-V69I2P210

Citation 

MLA Style: Husein Osman Abdullahi, Abdikarim Abi Hassan, Murni Mahmud, Abdifatah Farah Ali  "Determinants of ICT Adoption Among Small Scale Agribusiness Enterprises In Somalia" International Journal of Engineering Trends and Technology 69.2(2021):68-76. 

APA Style:Husein Osman Abdullahi, Abdikarim Abi Hassan, Murni Mahmud, Abdifatah Farah Ali. Determinants of ICT Adoption Among Small Scale Agribusiness Enterprises In Somalia. International Journal of Engineering Trends and Technology, 69(2), 68-76.

Abstract
The use of Information and Communication Technology (ICT) can advance the Agricultural Business sector, particularly in a country seeking opportunities to explore the sector. There is evidence that ICT has made significant contributions to agribusiness because it allows enterprises to manage their operations, and it has major impacts on the business. However, the critical factors that motivate the adoption of new innovative technology by agribusiness enterprises are underexplored. The literature has indicated ICT adoption among small-scale agribusiness enterprises in Somalia is not fully understood. Nevertheless, this study addresses this gap by investigating the adoption of ICT among small-scale agribusiness enterprises in Somalia. The paper reports the use of the Technology, Organization, Environment (TOE) framework. An online survey has been conducted with random sampling for data collection, with 107 respondents. The respondents are from agribusiness staff and farmers from various agricultural companies in Somalia. After quantitative data analysis, the results indicated that relative advantage, complexity, top management support, and competitive pressure factors are significant contributors to ICT adoption in Somalian agribusiness enterprises, while ICT costs and vendor support are not significantly related to the adoption of ICT in agricultural business. This study concludes that ICT adoption in Somalia is inspired by insight and motivation rather than financial and external support. Understanding these factors leads to a better understanding of ICT adoption in Somalia. Additionally, it enriches the literature about the agriculture business on the African continent.

Reference
[1] Aker, J. C. Dial “A” for agriculture: a review of information and communication technologies for agricultural extension in developing countries. Agricultural Economics 42(6)(2011) 631-647.
[2] Africa Agriculture Status Report., Retrieved from https://agra.org/wp-content/uploads/2018/10/AASR-2018.pdf. Accessed 21/06/2020., (2018).
[3] Al-Qirim, N., The adoption of eCommerce communications and applications technologies in small businesses in New Zealand., Electronic Commerce Research and Applications 6(4)(2007) 462-473.
[4] Aldosari, F., et al., Farmers’ perceptions regarding the use of Information and Communication Technology (ICT) in Khyber Pakhtunkhwa, Northern Pakistan., Journal of the Saudi Society of Agricultural Sciences., (2017).
[5] Aleke, B., et al., ICT adoption in developing countries: perspectives from small-scale agribusinesses., Journal of Enterprise Information Management 24(1)(2011) 68-84.
[6] Blein, R., Agriculture in Africa: Transformation and outlook, NEPAD., (2013).
[7] Borgman, H. P., et al., Cloudrise: exploring cloud computing adoption and governance with the TOE framework. 2013 46th Hawaii international conference on system sciences, IEEE., (2013).
[8] Botsiou, M. and V. Dagdilelis., Aspects of incorporation of ICT in the Greek agricultural enterprises: The case of a prefecture. Procedia Technology (2013) 8:387-396.
[9] Burke, K. (2010). The impact of internet and ICT use among SME agribusiness growers and producers. Journal of Small Business & Entrepreneurship, 23(2)(2010) 173-194.
[10] Byerlee, D., et al., Agriculture for development: Toward a new paradigm., Annu. Rev. Resour. Econ. 1(1)(2009) 15-31.
[11] Caldeira, M. M., and J. M. Ward., Using resource-based theory to interpret the successful adoption and use of information systems and technology in manufacturing small and medium-sized enterprises., European Journal of information systems 12(2)(2003) 127-141.
[12] Chatterjee, D., et al., Shaping up for e-commerce: institutional enablers of the organizational assimilation of web technologies." Mis Quarterly: (2002) 65-89.
[13] Chavula, H. K., The role of ICTs in agricultural production in Africa., Journal of Development and Agricultural Economics 6(7)(2014) 279-289.
[14] Chwelos, P., et al., Empirical test of an EDI adoption model., Information systems research 12(3)(2001) 304-321.
[15] Cooper, R. B., and R. W. Zmud., Information technology implementation research: a technological diffusion approach., Management Science 36(2)(1990) 123-139.
[16] Eze, S. C., et al., Determinants of a dynamic process of emerging ICT adoption in SMEs–actor-network theory perspective., Journal of Science and Technology Policy Management 10(1)(2019) 2-34.
[17] Fisher, S. L., and A. W. Howell., Beyond user acceptance: An examination of employee reactions to information technology systems., Human Resource Management: Published in Cooperation with the School of Business Administration, The University of Michigan and in alliance with the Society of Human Resources Management 43(2?3)(2004) 243-258.
[18] Frambach, R. T., et al., Adoption of service innovation in the business market: an empirical test of supply-side variables., Journal of Business Research 41(2)(1998) 161-174.
[19] Gamal Aboelmaged, M., Predicting e-procurement adoption in a developing country: empirical integration of technology acceptance model and theory of planned behavior., Industrial Management & Data Systems 110(3)(2010) 392-414.
[20] Ghobakhloo, M., et al., Adoption of e-commerce applications in SMEs., Industrial Management & Data Systems 111(8)(2011) 1238-1269.
[21] Ghobakhloo, M., et al., Strategies for successful information technology adoption in small and medium-sized enterprises., Information 3(1)(2012) 36-67.
[22] Gold, A. H., et al., Knowledge management: An organizational capabilities perspective., Journal of management information systems 18(1)(2001) 185-214.
[23] Hair, J. F., et al., PLS-SEM: Indeed a silver bullet., Journal of Marketing Theory and Practice 19(2)(2011) 139-152.
[24] Hair Jr, J. F., et al., A primer on partial least squares structural equation modeling (PLS-SEM), Sage publications.,(2016).
[25] Henseler, J., et al., A new criterion for assessing discriminant validity in variance-based structural equation modeling., Journal of the academy of marketing science 43(1)(2015) 115-135.
[26] Hoque, M. R., et al., Adoption of information and communication technology for development: A case study of small and medium enterprises in Bangladesh., Information Development 32(4)(2016) 986-1000.
[27] Hult, G. T. M., et al., Strategic supply chain management: Improving performance through a culture of competitiveness and knowledge development., Strategic management journal 28(10)(2007) 1035-1052.
[28] Hultink, E. J., et al., Industrial new product launch strategies and product development performance., Journal of product innovation management 14(4) (1997) 243-257.
[29] James, J., Sustainable Internet access for the rural poor? Elements of an emerging Indian model., Futures 35(5) (2003) 461-472.
[30] Kante, M., et al., An ICT model for increased adoption of farm input information in developing countries: A case in Sikasso, Mali., Information processing in agriculture 6(1)(2019) 26-46.
[31] Kante, M., et al., Farmers` perceptions of ICTs and its effects on access and use of agricultural input information in developing countries: Case of Sikasso, Mali. 2017 IST-Africa Week Conference (IST-Africa), IEEE., (2017).
[32] Kline, R. B., Principles and practice of structural equation modeling, Guilford publications.,(2015).
[33] Kline, R. B., Principles and practice of structural equation modeling, Guilford publications.,(2015).
[34] Lin, H.-F., Understanding the determinants of electronic supply chain management system adoption: Using the technology–organization–environment framework., Technological Forecasting and Social Change (2014) 86: 80-92.
[35] Lin, H.-F., and S.-M. Lin., Determinants of e-business diffusion: A test of the technology diffusion perspective., Technovation 28(3)(2008) 135-145.
[36] M Rogers, E., Diffusion of innovations, The free press. (1983).
[37] Madlberger, M., A model of antecedents of RFID adoption intention in the supply chain. 2009 42nd Hawaii International Conference on System Sciences, IEEE., (2009).
[38] Maduku, D. K., et al., Understanding mobile marketing adoption intention by South African SMEs: A multi-perspective framework., International Journal of Information Management 36(5)(2016) 711-723.
[39] Martins, R., et al., An empirical analysis to assess the determinants of SaaS diffusion in firms., Computers in Human Behavior (2016) 62:19-33.
[40] Moghaddam, B. K., and A. Khatoon-Abadi., Factors affecting ICT adoption among rural users: A case study of ICT Center in Iran." Telecommunications policy 37(11)(2013) 1083-1094.
[41] Obal, M., What drives post-adoption usage? Investigating the negative and positive antecedents of disruptive technology continuous adoption intentions., Industrial Marketing Management (2017) 63: 42-52.
[42] OECD-FAO., "OECD-FAO Agricultural Outlook 2015. OECD Publishing, Paris., Report., (2015).
[43] OECD., Enhancing the Competitiveness of SMEs in the Global Economy: Strategies and Policies, Statistical Papers for the Bologna Conference, Organisation for Economic Corporation and Development., (2000).
[44] Park, Y. and J. V. Chen., Acceptance and adoption of the innovative use of the smartphone., Industrial Management & Data Systems 107(9)(2007) 1349-1365.
[45] Premkumar, G. and M. Roberts., Adoption of new information technologies in rural small businesses., Omega 27(4)(1999) 467-484.
[46] Ramayah, T., et al., Factors influencing SMEs website continuance intention in Malaysia., Telematics and Informatics 33(1)(2016) 150-164.
[47] Ramdani, B. and P. Kawalek., SME adoption of enterprise systems in the Northwest of England. IFIP International Working Conference on Organizational Dynamics of Technology-Based Innovation, Springer., (2007).
[48] Rogers, D. O. I. E. M., diffusion of innovations Everett m rogers.,(2003).
[49] Ruivo, P. et al., Examine ERP post-implementation stages of use and value: Empirical evidence from Portuguese SMEs., International Journal of Accounting Information Systems 15(2)(2014) 166-184.
[50] Straub, D., et al., Validation guidelines for IS positivist research." The Communications of the Association for Information Systems 13(1)(2004) 63.
[51] Teo, T. S., et al., Adopters and non-adopters of e-procurement in Singapore: An empirical study., Omega 37(5)(2009) 972-987.
[52] Thong, J. Y., An integrated model of information systems adoption in small businesses., Journal of management information systems 15(4)(1999) 187-214.
[53] To, M. L. and E. W. Ngai., Predicting the organizational adoption of B2C e-commerce: an empirical study., Industrial Management & Data Systems 106(8)(2006) 1133-1147.
[54] Tornatzky, L. G., et al., Processes of technological innovation, Lexington books.,(1990).
[55] Wang, S. and W. Cheung., E-business adoption by travel agencies: prime candidates for mobile e-business., International Journal of Electronic Commerce 8(3)(2004) 43-63.
[56] KORIKO Moubarak, Determinants of Ict Adoption In The Financial Sector In Subsaharan Africa, IJETT International Journal of Economics and Management Studies 7(9) (2020) 52-59.
[57] Wang, Y.-M. et al., Understanding the determinants of RFID adoption in the manufacturing industry., Technological Forecasting and Social Change 77(5) (2010) 803-815.
[58] Weigelt, C. and M. B. Sarkar., Learning from supply-side agents: The impact of technology solution providers` experiential diversity on clients` innovation adoption., Academy of Management Journal 52(1)37-60.
[59] world bank., Macro Poverty Outlook, MPO,2019: 2., (2019).
[60] Woodside, A. G., et al., Modeling innovation, manufacturing, diffusion, and adoption/rejection processes., Journal of Business & Industrial Marketing., (2005).
[61] Yeung, J. H. Y., et al., Current progress of e-commerce adoption: small and medium enterprises in Hong Kong., Communications of the ACM 46(9)(2003) 226-232.
[62] Zhu, K. and K. L. Kraemer., Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry., Information systems research 16(1)(2005) 61-84.
[63] Zhu, K., et al.., The process of innovation assimilation by firms in different countries: a technology diffusion perspective on e-business., Management Science 52(10)(2006) 1557-1576.
[64]I Gusti Ngurah Agung Jaya Widagda, Ni Nyoman Kerti Yasa, Shamia, Kadek Leon Saputra, The Model Development of Business Strategy of Sme Restaurant Industry During The Covid 19 Pandemic: A Conceptual Model, IJETT International Journal of Economics and Management Studies 7(10) (2020) 39-44.[65] Tarut?, A., & Gatautis, R., ICT impact on SMEs performance. Procedia-Social and Behavioral Sciences, 110(2014) 1218-1225.
[66] Alam, S. S., & Noor, M. K. M., ICT adoption in small and medium enterprises: empirical evidence of service sectors in Malaysia. International Journal of Business and Management, 4(2)(2009) 112–125.
[67] Caldeira, M.M. and Ward, J. M., Understanding the successful adoption and use of IS/IT in SMEs: an explanation from Portuguese manufacturing industries Information Systems Journal, 12(2002) 121-152.
[68] DTI (Department of Trade and Industry) (2007) [online] http://www.dti.gov.uk, accessed 22 October (2019).
[69] Aldosari, F., Al Shunaifi, M. S., Ullah, M. A., Muddassir, M., & Noor, M. A., Farmers’ perceptions regarding the use of Information and Communication Technology (ICT) in Khyber Pakhtunkhwa, Northern Pakistan. Journal of the Saudi Society of Agricultural Sciences., (2017).
[70] Hair, J. F., Hult, G. T. M., & Ringle, C. M. (2014). M. Sarstedt., A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks: Sage., (2014).
[71] Hair Jr, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M., A primer on partial least squares structural equation modeling (PLS-SEM): Sage publications., (2016).

Keywords
Determinants, ICT Adoption, Agribusiness, Small Scale, TOE framework.