Research related to factors affecting transfer of training in the government sector in Sri Lanka is extremely limited. Hence, this article examines the impact of two trainee characteristics (self efficacy and career commitment) and four work environmental factors (supervisory support, opportunity to perform, awareness of strategic linkages and accountability) on motivation to transfer. Data were collected from 152 officers of the Sri Lanka Administrative Service who participated in a capacity building training program. The Structural Equation Modelling technique was used to test the hypotheses derived from the extensive literature survey. The findings revealed that trainees' self efficacy has a significant impact on the motivation to transfer. Contrary to expectation, the other constructs did not significantly influence the motivation to transfer. The implications of the results and limitations of the study are also noted, along with suggestions.

Purpose: Adoption of new technology in the agricultural sector is low. This is similar to the condition in many other sectors as well. Many studies have been conducted to find out reasons for this issue. While some studies have identified similar factors affecting the decision to adopt a technology, some studies revealed factors which were uniqe to their study. Therefore, identification and compilation of these factors will support future studies and researchers.Research Method: An analysis of literature on technology adoption was conducted. Literature originated from numerous sources spanning almost 50 years were taken for the study. The factors identified by different studies were then compiled for this review paper.Findings: The factors identified can be mainly categorized into three; (1) factors related to the user, such as farm size, income, prior experience, gender, education level, and age; (2) factors related to the technology, such as affordability, availability, compatibility, complexity, trialability and observability; (3) institutional factors, such as access to extension services, inputs, markets and credit facilities. The review findings reveal that adoption is a collective and interactive effect of some or all factors. Thus, identification of priority factors and a holistic approach need to be considered to ensure greater adoption.Originality/ Value: This compilation will support practitioners in technology dissemination for proper identification of factors affecting technology adoption, and future research on technology adoption and  diffusion

ABSTRACT. The use of e-commerce in SMEs has

No abstract

Agriculture is crucial in catering to the increasing demand for food and employment. Thus, adoption of novel technologies is important. Many scientists have developed different theories and models explaining the process of behavioral change relevant to adoption. They are either completely different, similar, or improvements of previously developed models. Therefore, compilation and summarization of these theories and models will support future studies and researchers. Thus, an analysis of literature on technology adoption was conducted. The review was prepared based on literature from various sources spanning around 50 years. The theories and models identified by different studies were compiled and analyzed in this review paper. Many theories and models in agricultural technology adoption such as transtheoretical model, theory of reasoned action, theory of interpersonal behavior, model for innovation-decision process, different versions of technology acceptance model, theory of planned behavior, theory of diffusion of innovation, task-technology fit, technology readiness, unified theory of acceptance and use of technology, expectancy livelihood model, social cognitive theory, and perceived characteristics of innovating theory were compiled. Each theory and model has its own uniqueness, which had explained different aspects of technology adoption process and factors determining the behavioral change. These theories and models included affecting factors such as technological, personal, social, and economical factors. In conclusion, it can be stated that, rather than having a single theory or a model, an integrated and amalgamated form will be more explanatory for technology adoption.