caa a22 4500 467945209 CHVBK 20180405193736.0 cr unu---uuuuu 170328e20041001xx s 000 0 eng 10.1007/s10462-004-4305-x doi (NATIONALLICENCE)springer-10.1007/s10462-004-4305-x (NATIONALLICENCE)springer-10.1023/B:AIRE.0000045503.74951.7a Kerr Don School of Management, Griffith University, Kessels Road, 4111, Nathan, QLD, Australia aut Factors influencing the Development and Adoption of Knowledge Based Decision Support Systems for Small, Owner-Operated Rural Business [Elektronische Daten] [Don Kerr] This paper provides an analysis of existing literature and practical problems associated with the adoption of a developed knowledge-based decision support system (KBDSS) within small rural businesses. The rural small businesses selected for this study were individual farms within the Australian dairy industry and the developed KBDSS was called DairyPro. The object was to determine the factors that could help with future KBDSS development and improve adoption rates. These factors were tested against DairyPro to determine their effectiveness. This analysis indicates that system developers need to have a good working knowledge of the target industry and to understand the types of decisions that are made by managers in order to develop systems that will be used. A review of the literature also suggests that adoption rates can be influenced by cultural, political, educational and age factors as well as individual characteristics of information technology itself. Small business managers needed more ownership in the process of KBDSS development. The author suggests that the factors affecting KBDSS adoption by dairy farmers can be equally applicable to other small, owner-operated rural businesses. This approach advocates the use of domain experts to provide estimates of expected production levels rather than that of the traditional approach of using the results from mathematical or simulation models to make these estimates. Kluwer Academic Publishers, 2004 decision support nationallicence knowledge based systems nationallicence small business nationallicence Artificial Intelligence Review Kluwer Academic Publishers 22/2(2004-10-01), 127-147 0269-2821 22:2<127 2004 22 10462 https://doi.org/10.1007/s10462-004-4305-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-004-4305-x text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Kerr Don School of Management, Griffith University, Kessels Road, 4111, Nathan, QLD, Australia aut NATIONALLICENCE 773 0- Artificial Intelligence Review Kluwer Academic Publishers 22/2(2004-10-01), 127-147 0269-2821 22:2<127 2004 22 10462 NATIONALLICENCE 100 1- Kerr Don School of Management, Griffith University, Kessels Road, QLD, Australia) aut NATIONALLICENCE 856 40 https://doi.org/10.1023/B:AIRE.0000045503.74951.7a text/html Onlinezugriff via DOI Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer