Training needs analysis based on mismatch between the acquired and required levels of collection management skills of academic librarians

Abstract

Purpose Training improves workers’ competencies by eliminating or reducing mismatch between the levels of acquired and required skills. However, the question of who needs the training can be pertinently managed by training needs analysis (TNA). Thus, the purpose of this paper was to explore the training needs of Pakistani university librarians on collection management skills. Design/methodology/approach The study was conducted on a randomly selected sample of Pakistani university librarians. Using survey questionnaire method, a five-point Likert scale was utilized to measure the acquired and required levels of collection management skills (CMS). A paired sample t-test was used to ascertain the significance of difference between the acquired and required skills. Further, descriptive statistics were used to perform TNA. Findings Results of the paired sample t-test showed a significant difference among all indicators of CMS. Further, findings of TNA specified more than 50 per cent of deficit (over-utilization), less than 50 per cent of surplus (under-utilization) and 20 per cent of job best-fit in terms of CMS. Based on these results, training and top-down allocation of tasks are suggested to the higher authorities to manage over and under-utilization of CMS and to produce more job best-fits. Originality/value These findings are significant to design training programs on CMS, to revise courses on collection management, to evaluate performance of collection managers and understand the causes of under and over utilization of CMS. Moreover, findings inform librarians to eliminate mismatch in the levels of acquired and required CMS through training programs that may further enhance job best-fits.