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Article
Publication date: 17 May 2011

Anne Pemberton, Jerome Hoskins and Caitlin Boninti

The purpose of this paper is to outline a useful model for identifying and addressing employee performance issues in academic libraries, specifically in a Learning Commons.

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Abstract

Purpose

The purpose of this paper is to outline a useful model for identifying and addressing employee performance issues in academic libraries, specifically in a Learning Commons.

Design/methodology/approach

The Human Performance Technology (HPT) model created by the International Society for Performance Improvement (ISPI) was used to identify employee performance issues in a newly created Learning Commons at a midā€size academic library.

Findings

Applying the HPT model to a Learning Commons enabled the authors to identify organizational and employee performance issues and identify solutions to these issues. The HPT model was deemed a useful tool for addressing performance issues.

Research limitations/implications

Little research has been published using the HPT model in libraries and more research should be performed to determine the suitability of this model for libraries. It should be acknowledged that the model is used to identify weaknesses and any organization using this model will likely uncover areas for improvement.

Practical implications

The HPT model provides a method to identify measurable performance indicators which could be used to set standards of performance for employees. Setting such standards can help achieve and maintain levels of high quality for any library service. This model is particularly useful when employees at one service point may include a combination of student workers, paraprofessionals, and librarians.

Originality/value

The study could identify only one article in the relevant literature addressing the use of the HPT model in a library setting. This paper more broadly introduces HPT to the field of librarianship as an assessment tool.

Details

Reference Services Review, vol. 39 no. 2
Type: Research Article
ISSN: 0090-7324

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