The study investigates the perceptions of the effects and impacts on the performance of agricultural and livestock farms based on the view of obtaining dynamic capabilities by the adoption of enterprise resource planning (ERP) technology. The dimensions for measuring farmers’ perceptions of ERP adoption were technological, organizational and environmental and their diffusion and the impacts measured on dynamic capabilities were on internal operations, costs, sales and natural resources. A total of 502 farmers directly involved in managing the production, located in the main agricultural areas of Brazil were interviewed. The results indicated that the perception of obtaining dynamic capabilities in the farms by adopting the ERP was significant, but with lower levels in costs and natural resources. The influence of farm size on ERP adoption and its perception on farm performance was not significant. The proposed model proved to be adequate and can be validated and compared with other producing regions.
Al-Hujran, O., E.M. Al-Lozi, M.M. Al-Debei and M. Maqableh. 2018. Challenges of cloud computing adoption from the TOE framework perspective. International Journal of E-Business Research 14(3): 77-94. https://doi.org/10.4018/ijebr.2018070105
Amoako-Gyampah, K. and A.F. Salam. 2004. An extension of the technology acceptance model in an ERP implementation environment. Information and Management 41(6): 731-745. https://doi.org/10.1016/j.im.2003.08.010
Barney, J. 1991. Firm resources and sustained competitive advantage. Journal of Management 17(1): 99-120. https://doi.org/10.1177/014920639101700108
Benlian, A. and T. Hess. 2011. Opportunities and risks of software-as-a-service: findings from a survey of IT executives. Decision Support Systems 52(1): 232-246. https://doi.org/10.1016/j.dss.2011.07.007
Bhattacharya, M. and S.F.Wamba. 2015. A conceptual framework of RFID adoption in retail using TOE framework. International Journal of Technology Diffusion 6(1): 1-32. https://doi.org/10.4018/ijtd.2015010101
Chan, F.T.S. and A.Y.-L. Chong. 2013. Determinants of mobile supply chain management system diffusion: a structural equation analysis of manufacturing firms. International Journal of Production Research 51(4): 1196-1213. https://doi.org/10.1080/00207543.2012.693961
Day, G.S. 1994. The capabilities of market-driven organisation. Journal of Marketing 58(4): 37-52. https://doi.org/10.4468/2008.2.06sciarelli
Dougherty, D., H. Barnard and D. Dunne. 2004. Exploring the everyday dynamics of dynamic capabilities. Presented at the 3rd Annual MIT/UCI Knowledge and Organizations Conference. March 5-7, 2004. Laguna Beach, CA, USA. Available at: https://escholarship.org/uc/item/2h04t5x0
Efe, B. 2016. An integrated fuzzy multi criteria group decision making approach for ERP system selection. Applied Soft Computing Journal 38: 106-117. https://doi.org/10.1016/j.asoc.2015.09.037
Eisenhardt, K.M. and D.C. Galunic. 2000. Coevolving at last, a way to make synergies work. Harvard Business Review 78(1): 91.
'Coevolving at last, a way to make synergies work ' () 78 Harvard Business Review : 91 .
Eisenhardt, K.M. and J.A. Martin. 2000. Dynamic capabilities: what are they? Strategic Management Journal 21(10-11): 1105-1121.
'Dynamic capabilities: what are they? ' () 21 Strategic Management Journal : 1105 -1121.
Fornell, C. and D.F. Larcker. 1981. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18(1): 39-50. https://doi.org/10.2307/3151312
Gillman, A., D.C. Campbell and E.S. Spang. 2019. Does on-farm food loss prevent waste? Insights from California produce growers. Resources, Conservation and Recycling 150: 104408. https://doi.org/10.1016/j.resconrec.2019.104408
Haberli Junior, C., T. Oliveira and M. Yanaze. 2019. The adoption stages (evaluation, adoption and routinisation) of ERP systems with business analytics functionality in the context of farms. Computers and Electronics in Agriculture 156: 334-348. https://doi.org/10.1016/j.compag.2018.11.028
Hair Jr, J.F., M. Sarstedt, L. Hopkins and V.G. Kuppelwieser. 2014. Partial least squares structural equation modeling (PLS-SEM). European Business Review 22(6): 106-121.
'Partial least squares structural equation modeling (PLS-SEM) ' () 22 European Business Review : 106 -121.
Henseler, J., C.M. Ringle and M. Sarstedt. 2014. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science 43(1): 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hsu, P.-F., K. Kraemer and D. Dunkle. 2006. Determinants of e-business use in U.S. firms. International Journal of Electronic Commerce 10(4): 9-45. https://doi.org/10.2753/JEC1086-4415100401
Kamble, S.S., A. Gunasekaran and S.A. Gawankar. 2020. Achieving sustainable performance in a data-driven agriculture supply chain: a review for research and applications. International Journal of Production Economics 219: 179-194. https://doi.org/10.1016/j.ijpe.2019.05.022
Kumar, K. and J. Van Hillegersberg. 2000. ERP – experiences and evolution. Communications of the ACM 43: 22-26. https://doi.org/10.1145/332051.332063
Madapusi, A. and D. D’Souza. 2012. The influence of ERP system implementation on the operational performance of an organization. International Journal of Information Management 32: 24-34. https://doi.org/10.1016/j.ijinfomgt.2011.06.004
Morgan, N.A. 2012. Marketing and business performance. Journal of the Academy of Marketing Science 40(1): 102-119. https://doi.org/10.1007/s11747-011-0279-9
Morgan, N.A., H. Feng and K.A. Whitler. 2017. Marketing capabilities in international marketing. Journal of International Marketing 26(1): 61-95. https://doi.org/10.1509/jim.17.0056
Murray, J.Y., G.Y. Gao and M. Kotabe. 2011. Market orientation and performance of export ventures: the process through marketing capabilities and competitive advantages. Journal of the Academy of Marketing Science 39(2): 252-269. https://doi.org/10.1007/s11747-010-0195-4
Nwankpa, J.K. 2015. ERP system usage and benefit: a model of antecedents and outcomes. Computers in Human Behavior 45: 335-344. https://doi.org/10.1016/j.chb.2014.12.019
Picoto, W.N., F. Bélanger and A. Palma-dos-Reis. 2014. An organizational perspective on m-business: usage factors and value determination. European Journal of Information Systems 23(5): 571-592. https://doi.org/10.1057/ejis.2014.15
Prajogo, D., J. Toy, A. Bhattacharya, A. Oke and T.C.E. Cheng. 2018. The relationships between information management, process management and operational performance: internal and external contexts. International Journal of Production Economics 199: 95-103. https://doi.org/10.1016/j.ijpe.2018.02.019
Shuen, A., Feiler, P.F. and Teece, D.J. 2014. Dynamic capabilities in the upstream oil and gas sector: managing next generation competition. Energy Strategy Reviews 3: 5-13. https://doi.org/10.1016/j.esr.2014.05.002
Stanton, B.F. 1963. Diffusion of innovations. American Journal of Agricultural Economics 45(4): 898-899. https://doi.org/10.2307/1235767
Teece, D.J. 2015. A dynamic capabilities-based entrepreneurial theory of the multinational enterprise. In: J. Cantwell (ed.) The eclectic paradigm. Palgrave Macmillan, London, UK, pp. 224-273. https://doi.org/10.1007/978-1-137-54471-1
Teece, D.J. 2017. Business models and dynamic capabilities. Long Range Planning 51(1): 40-49. https://doi.org/10.1016/j.lrp.2017.06.007
Teece, D.J., G. Pisano and A. Shuen. 1997. Dynamic capabilities and strategic management. Strategic Management Journal 18(7): 509-533.
'Dynamic capabilities and strategic management ' () 18 Strategic Management Journal : 509 -533.
Tornatzky, L.G., M. Fleischer and A.K. Chakrabarti. 1990. Processes of technological innovation. Lexington Books, Lanham, MD, USA.
'Processes of technological innovation', ().
Vahlne, J.-E. and J. Johanson. 2013. The Uppsala model on evolution of the multinational business enterprise – from internalization to coordination of networks. International Marketing Review 30(3): 189-210. https://doi.org/10.1108/02651331311321963
Wachter, J.M., K.M. Painter, L.A. Carpenter-Boggs, D.R. Huggins and J.P. Reganold. 2019. Productivity, economic performance and soil quality of conventional, mixed, and organic dryland farming systems in eastern Washington State. Agriculture, Ecosystems and Environment 286: 106665. https://doi.org/10.1016/j.agee.2019.106665
Wang, C.L. and P.K. Ahmed. 2007. Dynamic capabilities: a review and research agenda. International Journal of Management Reviews 9(1): 31-51. https://doi.org/10.1111/j.1468-2370.2007.00201.x
Wells, P. and P. Nieuwenhuis. 2018. Over the hill? Exploring the other side of the Rogers’ innovation diffusion model from a consumer and business model perspective. Journal of Cleaner Production 194: 444-451. https://doi.org/10.1016/j.jclepro.2018.05.144
Yu, K., B.N. Luo, X. Feng and J. Liu. 2018. Supply chain information integration, flexibility, and operational performance an archival search and content analysis. International Journal of Logistics Management 29(1): 340-364. https://doi.org/10.1108/IJLM-08-2016-0185
Zhai, Y., Y. Ding and F. Wang. 2018. Measuring the diffusion of an innovation: a citation analysis. Journal of the Association for Information Science and Technology 69(3): 368-379. https://doi.org/10.1002/asi.23898
Zheng, W., X. Ke, B. Xiao and T. Zhou. 2019. Optimising land use allocation to balance ecosystem services and economic benefits: a case study in Wuhan, China. Journal of Environmental Management 248(15): 109306. https://doi.org/10.1016/j.jenvman.2019.109306
Zhu, K. and K.L. Kraemer. 2005. Post-adoption variations in usage and value of e-business by organizations: cross-country evidence from the retail industry. Information Systems Research 16(1): 61-84. https://doi.org/10.1287/isre.1050.0045
Zhu, K., K.L. Kraemer and S. Xu. 2006. The process of innovation assimilation by firms in different countries: a technology diffusion perspective on e-business. Management Science 52: 1557-1576. https://doi.org/10.1287/mnsc.1050.0487
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 0 | 0 | 0 |
Full Text Views | 239 | 163 | 26 |
PDF Views & Downloads | 228 | 157 | 30 |
The study investigates the perceptions of the effects and impacts on the performance of agricultural and livestock farms based on the view of obtaining dynamic capabilities by the adoption of enterprise resource planning (ERP) technology. The dimensions for measuring farmers’ perceptions of ERP adoption were technological, organizational and environmental and their diffusion and the impacts measured on dynamic capabilities were on internal operations, costs, sales and natural resources. A total of 502 farmers directly involved in managing the production, located in the main agricultural areas of Brazil were interviewed. The results indicated that the perception of obtaining dynamic capabilities in the farms by adopting the ERP was significant, but with lower levels in costs and natural resources. The influence of farm size on ERP adoption and its perception on farm performance was not significant. The proposed model proved to be adequate and can be validated and compared with other producing regions.
All Time | Past 365 days | Past 30 Days | |
---|---|---|---|
Abstract Views | 0 | 0 | 0 |
Full Text Views | 239 | 163 | 26 |
PDF Views & Downloads | 228 | 157 | 30 |