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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Predicting Farmers¡¦ Behavioral Intention to Adopt Organic Agriculture

Wu, Ming-feng 04 July 2011 (has links)
Organic agriculture has offered a more sustainable alternative to conventional agricultural production and has grown rapidly in many countries. By 2012, over 5,000 hectares of land will be farmed organically in Taiwan. To understand and predict Taiwanese farmers¡¦ intention to become engaged in organic agricultural production, this study assessed participants¡¦ behavior determinants based on an integrated model, including Ajzen¡¦s (1988) theory of planned behavior and Roger¡¦s (1995) theory of innovation diffusion. An extra variable¡Xresponsibility¡Xwas also added to the model. The study interviews 166 farmers from organic farming class held by Agriculture Reform Fields, and 187 farmers from conventional farming class held by local Farmers¡¦ Associations. Assessments show that for farmers who attended organic-farming classes, (a) attitude, perceived behavioral control and responsibility predict participants¡¦ intention behind engagement in organic agriculture, and that (b) complexity, compatibility and observability predict their attitude. As for farmers who attended conventional-farming classes, assessments reveal that (a) attitude, subjective norm, perceived behavioral control and responsibility predict participants¡¦ intention behind engagement in organic agriculture, and that (b) environmental concern, complexity and observability predict participants¡¦ attitude. Furthermore, results also suggest that farmers who have younger ages, degrees of higher education, ownership of larger land, or suspicions that acquaintances fell ill due to pesticides are more willing to engage in organic agriculture. Implications regarding how to construct organic agriculture policy and how to distribute to farmers relevant information (e.g., certification process, sales skills and skills in organic farming) are discussed.
2

Critical Factors of KMS adoption: An Empirical Study

Lien, Bi-nien 11 September 2006 (has links)
As a result of tough competition in the marketplace and the shift form a resource-based economy to a knowledge-based economy, companies are looking more and more at gaining competitive advantage through managing and maximizing their most valuable asset ¡V knowledge. In line with the increasing need to manage knowledge systems (KMS), which involve the application of IT systems and other organizational resources to manage knowledge strategically, are growing in popularity. Given the fact that it is not difficult to find applications relevant to KMS in organizations, the topic of KMS has not been well explored by researchers and scholars. Besides, even among the limited literature on KMS, there is a scarcity of studies on the empirical perspective of KMS, especially in the area of adoption, which is an important issue of managerial capacity. This research tries to address this gap by studying the adoption of KMS in Taiwanese organizations. Specifically, we want to find the significant factors of the KMS adoption. This study is based on innovative perspective combining with some important factors to mold an integrated model. Three dimensions are involved in, including: (1) Innovative characteristics of KMS: includes relative advantage, complexity, compatibility and cost of KMS (2) Organizational factors: includes IT infrastructure inside organization, employees¡¦ IS knowledge, management support, slack resources and business size (3) External factors: only includes competitive pressure. We try to find out whether there is something critical to adopt KMS. An empirical survey methodology is applied to test the research model and hypotheses proposed in this study. Eight out of nine hypotheses are validated in our research model with Discriminant Analysis. The research result reveals that management support of a firm has the strongest discriminability; on the other hand, competitive pressure also affects the adoption of KMS of a firm strongly. In conclusion all the variables have discriminant power expect relative advantage.

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