Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach.

ABSTRACT: This study aims to enhance the post-training evaluation of the annual performance agreement (APA) training organized by the Bangladesh Public Administration Training Centre (BPATC), the apex training institute for civil servants. Utilizing fuzzy-set qualitative comparative analysis (fsQCA) and artificial neural network (ANN) techniques within Kirkpatrick's four-stage model framework, data were collected from a self-administered questionnaire survey of 71 in-service civil servants who participated in the APA training program. This study employs an asymmetric, non-linear model analyzed through a configurational approach and ANN to explore interrelationships among the four Kirkpatrick levels namely, reaction, learning, behavior, and results. Findings indicate that trainees were satisfied acro

SUBMITTER: Islam MZ 

PROVIDER: S-EPMC11198856 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature