This study analyzed the determinants of the job performance of field advisors who were working in a remote forest area. A stakeholder analysis was conducted to identify advisory organizations working in the Madhupur Sal forest, Tangail, Bangladesh. Data from 87 field advisors were collected in face-to-face interviews. The binary logistic regression was performed to identify the factors affecting the performance of the field advisors. Various factors drove the performance of field staff at organizational and individual level. Important organizational-level variables were coordination with other organizations, existence of economic incentives for fieldwork, presence of monitoring and evaluation system, total number of staff, staff training, presence of a punishment and reward system, existence of travel allowance, and access to computer and internet facilities. Variables at individual level included the interaction with forest researchers and the use of a group approach for information sharing as significant determinants of satisfactory performance of field advisors.

This study adopted a quantitative research approach and relied on questionnaire design to obtain the necessary data from face-to-face interviews with field advisors of various extension organizations from November to December 2016. Before the interviews, a stakeholder analysis was conducted with 16 local forest dwellers to identify the organizations that had an extension and advisory function. A snowball sampling approach was used to detect 87 field advisors. Snowball sampling can be described as a technique for collecting research topics by defining an initial subject which will be used to name other actors (Lewis-Beck et al., 2004). In the context of this study, the snowball approach was used as a comprehensive list of field-level extension staff was not available. Therefore, after identifying and collecting the necessary data from the first field staff of each extension organization, I asked them to help identify the location (name, address and cell number) of other advisors. I follow up then with new interviewees. It is important to note that all field advisors have been selected from the micro-context of the study area using snowball sampling.

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In the data set, the value 1 indicates the 'yes' and 0 indicates the 'no' responses of the study sample.