IT as enabler of sustainable farming: An empirical analysis of farmers' adoption decision of precision agriculture technology

Decision Support Systems - Tập 54 - Trang 510-520 - 2012
Benoit A. Aubert1, Andreas Schroeder2, Jonathan Grimaudo3
1HEC Montréal, 3000 Chemin Cote-Ste-Catherine, Montréal, Canada H3T 2A7
2University of Buckingham, Hunter Street, Buckingham, MK18 1EG United Kingdom
3Consultant, Accenture Canada, 630 Rene-Lévesque Blvd West Suite 1200, Montreal, Québec, Canada H3B 1S6

Tài liệu tham khảo

Agarwal, 1997, The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies, Decision Sciences, 28, 557, 10.1111/j.1540-5915.1997.tb01322.x Alam, 2008, Factors affecting e-commerce adoption in the electronic manufacturing companies in Malaysia, International Journal of Commerce and Management, 17, 125, 10.1108/10569210710776503 Atherton, 1999, Site-specific farming: a perspective on information needs, benefits and limitations, Journal of Soil and Water Conservation, 54, 455 Aubert, 2001, Adoption of smart cards in the medical sector: the Canadian experience, Social Science & Medicine, 53, 879, 10.1016/S0277-9536(00)00388-9 Auernhammer, 2001, Precision farming—the environmental challenge, Computers and Electronics in Agriculture, 30, 31, 10.1016/S0168-1699(00)00153-8 Barclay, 1995, The partial least square (PLS) approach to casual modeling: personal computer adoption and use as an illustration, Technology, 2, 285 Bhatti, 2007, Exploring factors influencing the adoption of mobile commerce, Journal of Internet Banking and Commerce, 12, 1 Bongiovanni, 2004, Precision agriculture and sustainability, Precision Agriculture, 5, 359, 10.1023/B:PRAG.0000040806.39604.aa Bramley, 2009, Lessons from nearly 20 years of precision agriculture research, development, and adoption as a guide to its appropriate application, Crop and Pasture Science, 60, 197, 10.1071/CP08304 Chang, 2005, Literature derived reference models for the adoption of online shopping, Information Management, 42, 543, 10.1016/j.im.2004.02.006 Chau, 2001, Inhibitors to EDI adoption in small businesses: an empirical investigation, Journal of Electronic Commerce Research, 2, 78 Chau, 2001, Determinants of small business EDI adoption: an empirical investigation, Journal of Organizational Computing and Electronic Commerce, 11, 229, 10.1207/S15327744JOCE1104_02 Cheng, 2006, Adoption of internet banking: an empirical study in Hong Kong, Decision Support Systems, 42, 1558, 10.1016/j.dss.2006.01.002 Chiasson, 2005, Taking industry seriously in information systems research, MIS Quarterly, 29, 591, 10.2307/25148701 Chuang, 2007, Owner/manager characteristics, organisational characteristics and IT adoption in small and medium enterprises, International Journal of Management and Enterprise Development, 4, 619, 10.1504/IJMED.2007.014985 Compeau, 2007, From prediction to explanation: reconceptualizing and extending the perceived characteristics of innovating, Journal of the Association for Information Systems, 8, 409, 10.17705/1jais.00136 CRAAQ, 2004 Daberkow, 2003, Farm and operator characteristics affecting the awareness and adoption of precision agriculture technologies in the US, Precision Agriculture, 4, 163, 10.1023/A:1024557205871 Davis, 1989, Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13, 319, 10.2307/249008 Davis, 1993, User acceptance of information technology: system characteristics, user perceptions and behavioral impacts, International Journal of Man Machine Studies, 38, 475, 10.1006/imms.1993.1022 Davis, 1989, User acceptance of computer technology: a comparison of two theoretical models, Management Science, 35, 982, 10.1287/mnsc.35.8.982 Du, 2008, Combination of multispectral remote sensing, variable rate technology and environmental modeling for citrus pest management, Journal of Environmental Management, 86, 14, 10.1016/j.jenvman.2006.11.019 Feder, 1993, The adoption of agricultural innovations: a review, Technological Forecasting and Social Change, 43, 215, 10.1016/0040-1625(93)90053-A Fichman, 1992, Information technology diffusion: a review of empirical research, 195 Fidler, 1984, Communication and innovation implementation, Academy of Management Review, 9, 704, 10.5465/amr.1984.4277422 Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18, 39, 10.2307/3151312 Fountas, 2005, Farmer experience with precision agriculture in Denmark and the US Eastern Corn Belt, Precision Agriculture, 6, 121, 10.1007/s11119-004-1030-z Fountas, 2006, A model of decision-making and information flows for information-intensive agriculture, Agricultural Systems, 87, 192, 10.1016/j.agsy.2004.12.003 Gopal, 1992, Applying adaptive structuration theory to investigate the process of group support systems use, Journal of Management Information Systems, 9, 45, 10.1080/07421222.1992.11517967 Grandon, 2004, Electronic commerce adoption: an empirical study of small and medium US businesses, Information Management, 42, 197, 10.1016/j.im.2003.12.010 Hair, 1995 Hassall, 2010 Hebert, 1994, Adopting information technology in hospitals: the relationship between attitudes/expectations and behavior, Hospital & Health Services Administration, 39, 369 Igbaria, 1995, The effects of self-efficacy on computer usage, Omega, 23, 587, 10.1016/0305-0483(95)00035-6 Jeon, 2006, Determining factors for the adoption of e-business: the case of SMEs in Korea, Applied Economics, 38, 1905, 10.1080/00036840500427262 Karahanna, 1999, Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 183, 10.2307/249751 Khalifa, 2008, Explaining the adoption of transactional B2C mobile commerce, Journal of Enterprise Information Management, 21, 110, 10.1108/17410390810851372 King, 2006, A meta-analysis of the technology acceptance model, Information Management, 43, 740, 10.1016/j.im.2006.05.003 Kitchen, 2002, Educational needs of precision agriculture, Precision Agriculture, 3, 341, 10.1023/A:1021588721188 Langlois, 1992, Networks and innovation in a modular system: lessons from the microcomputer and stereo component industries, Research Policy, 21, 297, 10.1016/0048-7333(92)90030-8 Lederer, 2000, The technology acceptance model and the World Wide Web, Decision Support Systems, 29, 269, 10.1016/S0167-9236(00)00076-2 Legris, 2003, Why do people use information technology? A critical review of the technology acceptance model, Information Management, 40, 191, 10.1016/S0378-7206(01)00143-4 Mackrell, 2009, A qualitative case study of the adoption and use of an agricultural decision support system in the Australian cotton industry: the socio-technical view, Decision Support Systems, 47, 143, 10.1016/j.dss.2009.02.004 A. Malhotra, N.P. Melville, R.T. Watson, Call for Papers: Information Systems and Environmental Sustainability (special issue), MIS Quarterly, Available at: http://www.misq.org/skin/frontend/default/misq/pdf/CurrentCalls/GreenIS.pdf, Accessed: 3 April 2012. Mathieson, 2001, Extending the technology acceptance model: the influence of perceived user resources, ACM SIGMIS Database, 32, 86, 10.1145/506724.506730 Matlay, 2003, Adoption of ICT and e-commerce in small businesses: an HEI-based consultancy perspective, Journal of Small Business and Enterprise Development, 10, 321, 10.1108/14626000310489790 McBratney, 2005, Future directions of precision agriculture, Precision Agriculture, 6, 7, 10.1007/s11119-005-0681-8 McBride, 2003, Information and the adoption of precision farming technologies, Journal of Agribusiness, 21, 21 Moore, 1991, Development of an instrument to measure the perceptions of adopting an information technology innovation, Information Systems Research, 2, 192, 10.1287/isre.2.3.192 Nah, 2004, An empirical investigation on end-users' acceptance of enterprise systems, Information Resources Management Journal, 17, 32, 10.4018/irmj.2004070103 Nash, 2009, Applications of open geospatial web services in precision agriculture: a review, Precision Agriculture, 10, 546, 10.1007/s11119-009-9134-0 Nunally, 1978 OECD, 2010 OECD, 2009 Oh, 2003, Adoption of broadband Internet in Korea: the role of experience in building attitudes, Journal of Information Technology, 18, 267, 10.1080/0268396032000150807 Plouffe, 2001, Research report: richness versus parsimony in modeling technology adoption decisions — understanding merchant adoption of a smart card-based payment system, Information Systems Research, 12, 208, 10.1287/isre.12.2.208.9697 Precision, 2011 Premkumar, 1994, Implementation of electronic data interchange: an innovation diffusion perspective, Journal of Management Information Systems, 157, 10.1080/07421222.1994.11518044 Recio, 2003, A decision support system for farm planning using AgriSupport II, Decision Support Systems, 36, 189, 10.1016/S0167-9236(02)00134-3 Reichardt, 2009, Dissemination of precision farming in Germany: acceptance, adoption, obstacles, knowledge transfer and training activities, Precision Agriculture, 10, 525, 10.1007/s11119-009-9112-6 Rogers, 1962 Rogers, 2003 Sassenrath, 2008, Technology, complexity and change in agricultural production systems, Renewable Agriculture and Food Systems, 23, 285, 10.1017/S174217050700213X Schimmelpfennig, 2011 Sharma, 2011, Technology adoption and pest control strategies among UK cereal farmers: evidence from parametric and nonparametric count data models, Journal of Agricultural Economics, 62, 73, 10.1111/j.1477-9552.2010.00272.x Silva, 2007, The economic feasibility of precision agriculture in Mato Grosso do Sul State, Brazil: a case study, Precision Agriculture, 8, 255, 10.1007/s11119-007-9040-2 Swanson, 1994, Information systems innovation among organizations, Management Science, 40, 1069, 10.1287/mnsc.40.9.1069 Teo, 2003, Predicting intention to adopt interorganizational linkages: an institutional perspective, MIS Quarterly, 27, 19, 10.2307/30036518 Thong, 1999, An integrated model of information systems adoption in small businesses, Journal of Management Information Systems, 15, 187, 10.1080/07421222.1999.11518227 Torbett, 2007, Perceived importance of precision farming technologies in improving phosphorus and potassium efficiency in cotton production, Precision Agriculture, 8, 127, 10.1007/s11119-007-9033-1 Venkatesh, 2000, Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model, Information Systems Research, 11, 342, 10.1287/isre.11.4.342.11872 Venkatesh, 2008, Technology acceptance model 3 and a research agenda on interventions, Decision Sciences, 39, 273, 10.1111/j.1540-5915.2008.00192.x Venkatesh, 1996, A model of the antecedents of perceived ease of use: development and test*, Decision Sciences, 27, 451, 10.1111/j.1540-5915.1996.tb01822.x Wee, 2003, Factors affecting new product adoption in the consumer electronics industry, Singapore Management Review, 25, 51 Zhang, 2002, Precision agriculture — a worldwide overview, Computers and Electronics in Agriculture, 36, 113, 10.1016/S0168-1699(02)00096-0 Zhu, 2003, Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors, European Journal of Information Systems, 12, 251, 10.1057/palgrave.ejis.3000475