HUSBAND AND WIFE PARTNERSHIPS - A KEY FACTOR IN THE IMPROVED ADOPTION OF DECISION SUPPORT SYSTEMS FOR RURAL SMALL BUSINESSES Dale Gartshore1), Don Kerr2) and Heidimarie Winklhofer3) 1) Griffith University (d.gartshore@mailbox.gu.edu.au) 2) Griffith University (d.gartshore@mailbox.gu.edu.au) 3) Griffith University (d.gartshore@mailbox.gu.edu.au) Abstract There is increasing concern by rural research and development funding bodies over the considerable investment in, yet poor uptake of agricultural computer-based decision support systems (DSS). Gender differences in the acceptance and usage of computerised DSS can be used to advantage through a joint husband and wife team approach to their use. Research indicates that farm women are the main computer users for standard "off the shelf" applications and more willing than men to enter data on a regular basis. For men, the perceived usefulness is a strong determinant in their decision to use agricultural DSS. While the paradigms underlying these systems may already discourage use, adoption rates are also low because male farmers feel that the outside practical work is more important. It is proposed that encouraging farm women in the competent use of agricultural DSS software may help convince male farmers of its strategic benefits. This in turn may enhance rural business decisionmaking. 1 1. Introduction Farm businesses are overwhelmingly small businesses: 99.6% of Australian farm businesses are family owned, the majority are husband and wife partnerships with women becoming increasingly active in both management and practical aspects of the businesses (Kilpatrick 1999). Studies (Rural Women and ICT’s Research Team 2000) have found that, on the family farm, rural women are the main users of computerised cashbooks, and e-mail, the World Wide Web and word processing for social networking. However, they are hesitant to use computer technology as a tool for computerised farm management. James (1990) reports that there is a prevalence of husband and wife farm partnerships and an increase in participation by women in farm policy making. We suggest that a collaborative approach by husband and wife to farm management through the adoption of computer-based DSS will benefit both the family farm and the rural sector. 2. Rural Women and Technology Stewart (1997) supports the feminist claim that ideologies of technology, like family farming ideologies (Alston, 1995), are predominantly masculine. That is, technology is gendered according to whether it is predominantly an indoor or outdoor tool. For instance, mobile phones being either hand-held or located in vehicles are considered masculine devices, while computers and telephones, based in the farm house, are associated with women. According to research by Stubbs, Markham and Straw (1998), male farmers qualify as farmer producers, while farm women, who are usually more comfortable with computers, are generally defined as the lower status computer users or data operators. 2 This attitude was confirmed by Stewart (1997) who found farm women often lack confidence as controllers of data, and therefore avoided responsibility for applying information systems for decision-making purposes. A more pragmatic approach to the use of computers in agriculture is argued by Urquhart and Rowley (1999) in claiming that many farmers find that the use of computers conflicts with their lifestyle. Farmers usually work in isolation during the day and value evening family time. The prospect of further solitary work at the computer may therefore not appeal to them. This argument implies that the role of the farm woman as a home-based computer user will remain unchanged. 3. Will adoption rates be improved with new technology? Stewart (1997) predicts that as male farmers become more computer literate, and as computers become more portable, women’s superior keyboard skills will lose their value and men will compete with women in the use of on-farm computer software. This prediction is based on an analogy with the use of mobile phones. As mobile phones have been purchased for the family farm, it has become more efficient and effective to the male farmer to receive and make calls using the mobile phone on the tractor instead of waiting to make them back at the house at the end of each working day. Stewart (1997) further contends that increased device portability and useability through the use of icons, mouse and touch screens will make computers ideally suited for field work. This could remove them from the sphere of the farm house. Therefore it is conceivable that, as the farm enterprise purchases a notebook computer or a hand- 3 held device such as a personal digital assistant (PDA) the male farmer will be encouraged to enter the data himself and transact business from the field rather than leaving the data to be entered by the farm woman in the evenings on the home-based computer. 4. Agricultural DSS However, others such as Cox (1996) and Newman (1999) propose that there are more fundamental reasons for the non-adoption of computerised DSS in rural businesses. These authors suggest that most agricultural DSS development has traditionally been based on research models that have the primary aim of discovering and understanding relationships between data or applied models that are used as a decision or policy making tool. Farmers, however, look for tools that directly relate to their practical and action-oriented mode of operation. Many of these systems have therefore not had widespread acceptance by end-users (Cox 1996), (Carayannis and Sagi 2000), (Kuhlmann and Brodersen 2001) and (Ohlmer et al 1998). Cox (1996) outlines many of the problems associated with the adoption of DSS by farmers. He suggests that these problems revolve around the different approaches to problem solving between professional researchers and farmers. He also maintains that farmers are not as computer literate as professional researchers and that DSS have been too rigid because they are developed using a different paradigm, based on a scientific approach rather than practical knowledge as would be used by the farmer. Based on authors such as Cox (1996) and others, it would seem unlikely that adoption rates would improve dramatically with the use of PDA technology because farmers have fundamental problems with the use of DSS. 4 The limited use of information technology by farming men and women for farm enterprises is discussed by Bryant (1999) in a report for the Rural Industries Research and Development Corporation (RIRDC). The recommendations for a workable outcome were that men and women should work collaboratively to enter data, analyse and interpret it. This study (Bryant 1999) identified the most compelling reasons why farmers generally are not interested in computers for farm management. Apart from the inflexibility and limitations of the farm management software, the reasons include the perceived distinctions between inside and outside work. In effect, the attitude of the farmer indicates that office work unlike physical, outside work, is not considered to be real work. Further, the findings show the preservation of the traditional practice where men are decision-makers and women support the enterprise as bookkeepers. It is unlikely that this attitude is going to change with the introduction of mobile devices that removes the indoor / outdoor distinction to computer-based management. 5. Is teamwork between men and women the answer? There is evidence that divisions of responsibilities in farm management, largely based on gender, may actually contribute to poor decision-making. A report for the RIRDC (Daniels and Woods 1997) evaluated the use of training activities to improve farm business management skills. The key findings were that that discontinuity existed between management roles. For example, although women collect, record and analyse financial information for computerised cashbooks, ineffective communication often results in poor decision-making with the male farmer making decisions without the participation of his wife. In these cases, even though the woman has the computer expertise and financial knowledge, her advice is not sought. Attitudes to decision- 5 making must change, if women are to achieve a greater involvement in farm management, and their extensive use and experience of information technology results in wider acceptance of agricultural DSS. 6. Focussing on computer training for rural women Information systems research (Venkatesh & Morris, 2000) has examined gender differences in technology acceptance and usage behaviour in the context of underutilised information systems. The findings establish that men and women are different with respect to technology acceptance and usage. While perceived usefulness is a strong determinant for men, women are influenced by perceived ease of use and even subjective norms. These results may have important implications for the development, usage and training in information systems, such as computer-based DSS. Hargreaves and McCown (2000) and Kerr (2000) have researched computerised rural decision and management support and confirm that it needs to be both practical and essential to farm management. Kerr (2000) considers that user involvement in the development process is essential and that this will result in a more acceptable product. To increase computer self-efficacy, computer systems designers and trainers should emphasise productivity-related factors for men and a more balanced analysis for women which incorporates user-friendliness and peer acceptance. Kilpatrick (1999) asserts that there is a recognition by rural industry leaders and educators that education and training are essential for managing farm businesses if they are to be viable and sustainable. Institutes of Technical and Further Education 6 (TAFE), the Queensland Department of Primary Industry (DPI), computer suppliers, as well as rural industry associations are conscious of the need to run workshops to train farmers in how to develop the skills in the use of information systems. According to Stewart (1997) and Bryant (1999), more women prefer to do formal training courses than men, especially in the initial stages of computer ownership. This is yet another reason why women could play a significant role in the adoption of agricultural DSS. The Rural Women and ICT’s Research Team (2000) report that in their workshops women can see the potential for new technologies to improve both their efficiencies as farmers and their way of life. While the women are prepared to learn how to use computers, they need to be supported and resourced, and the training needs to be accessible, affordable and appropriate. Therefore to enhance farm women’s use of computer-based support for decision-making, training courses should be set up with particular attention to the needs of farm women and include DSS. 7. Conclusion With the gaining of legal partnership status and through economic necessity, women are moving away from their traditional support roles to become more involved in the farm management side of the business enterprise. Increases in the number of husband and wife farming partnerships suggest that a shared role is the way of the future. In many cases, farm men have greater day-to-day working knowledge than their homebased female partner while farm women are more at ease with information systems and its people-centred technology. Stewart (1997) suggests that close cooperation between husbands (with farming knowledge) and wives (with computer knowledge) 7 could hold the key to improved adoption and usage of the computer for farm management. These partnerships could also provide the key to improved adoption rates of DSS for small rural enterprises as many problems associated with adoption involve male farmer’s aversion to entering and collating data. A joint team approach using the strengths of both genders could be a useful strategy to increase the dissemination of DSS to small rural businesses. References 1) Alston, M. (1995). Women on the Land: The Hidden Heart of Rural Australia. Kensington, NSW: UNSW. 2) Alston, M. (Ed.). (1998). Australian Rural Women Towards 2000: An Edited Collection of Papers on Women in Rural Australia. 3) Bryant, D. L. (1999). Computers on the Farm: Farmers' usage patterns and impact on farm management ( 99/13): Rural Industries Research & Development Corporation (RIRDC). 4) Carayannis. E.G. and Sagi, J (2000) Dissecting the professional culture: insights from inside the IT “black box”. Technovation, 21: 91-98. 5) Cox, P.G. (1996). 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