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A Survey of Stickiness of Agriculture Knowledge Acquisition ...

A Survey of Stickiness of Agriculture Knowledge Acquisition in China

作     者:Weizhe Feng 1 Daoliang Li 2 Yanqing Duan 3 Zetian Fu 2 1 International College at Beijing China Agricultural University Beijing P. R. China 100083 2 College of Information and Electrical Engineering China Agricultural University Beijing P. R. China 100083 3 Business School University of Bedfordshire Luton LU1 3JU UK 

会议名称:《亚洲精细农业与计算机农业应用联合大会》

会议日期:2009年

学科分类:082804[工学-农业电气化与自动化] 08[工学] 0828[工学-农业工程] 

关 键 词:stickiness agriculture knowledge acquisition principal component analysis 

摘      要:The concept of stickiness in this study was borrowed from information research literature, which indicated the complex and difficulties in all process of knowledge transfer that including knowledge acquisition. To reveal the stickiness of agriculture knowledge acquisition in China, a survey was conducted of agriculture related websites in China. Firstly, an intensive literature review was done for collecting attributes closely associated with agriculture knowledge and its acquisition process. Secondly, these attributes were cate- gorized and transformed into questionnaire and surveyed in 14 provinces in China. Thirdly, the data were tested with principal component analysis methods. As results, this study concluded that four factors that may affect the stickiness of agriculture knowledge, namely, difficulty, special tacitness, available explicitness, and proven knowledge;five factors that may affect stickiness of agriculture experts. They include attitudes, professional, expression capability, teamwork, and protectiveness;and five factors that may affect stickiness of agriculture institutions, attitudes, service orientation, distance, protectiveness, and professional. In conclusion, it was suggested that the three groups of principal factors can be used to guide the planning and assessment of ICT-based knowledge projects in rural areas. The study also highlighted a new area for ICT-based information and knowledge transfer research.

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