A Decision Support System for Managing Demand-Driven Collection Development in University Digital Libraries

A Decision Support System for Managing Demand-Driven Collection Development in University Digital Libraries

Mohamed Hemili (LAMIS Laboratory, Larbi Tebessi University, Tebessa, Algeria), Mohamed Ridda Laouar (LAMIS Laboratory, Larbi Tebessi University, Tebessa, Algeria) and Sean B. Eom (Department of Accounting, Southeast Missouri State University, Cape Girardeau, USA)
Copyright: © 2019 |Pages: 18
DOI: 10.4018/IJISSC.2019100104

Abstract

In recent years, academic digital libraries have become a very important source of information. Academic digital libraries provide a rich collection in order to satisfy user need for information. The augmentation of user population and the volume of new publications causes many challenges to librarians in the collection development process and determining user needs of information is the fundamental challenge that librarians face. This article presents a demand-driven collection development decision support system based on the PROMETHEE II method. The DSS supports the librarians to make decisions in the collection development process to provide a rich collection that meets the users' needs. The DSS evaluates and determines a set of electronic resources for purchase, subscription, contract reviewing or cancelation. The decision support system extracts users' queries from log files to determine user preferences. Then, the revised Simos' procedure is used to derive the criteria weights. Finally, the authors applied the PROMETHEE II method to evaluate and rank the electronic resources.
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Introduction

The rapid advancements in information and communication technologies have increased the need for web-based information sources. With these changes, academic digital libraries have become a fundamental source of information for teaching, learning, and research activities (Kadir, Dollah, Saaid, & Diljit, 2009; Lee, Han, & Joo, 2008; Xie & Joo, 2009). A digital library provides access to many of the knowledge networks around the world, and enables users to search for specific information in virtual space (ÁlvaroTejeda-Lorente, Porcel, Peis, Sanz, & Herrera-Viedma, 2014).

Academic digital libraries offer an organized set of electronic resources (e-resources) to the users to satisfy their information needs. The collection of e-resources must satisfy users to avoid that academic digital libraries fall into oblivion and terminate their operation (Cabrerizo, Morente-Molinera, Pérez, López-Gijón, & Herrera-Viedma, 2015; Kadir, Dollah, Saaid, & S. Diljit, 2009). Therefore, academic digital libraries are evolving to meet the needs of teaching and learning and identify issues for continued development.

In recent years, the growth of available electronic materials and users’ population make the collection development process very difficult to manage. The large number of data sources and high volumes of data to be analyzed are the main challenges faced by librarians in the collection development process (Koenig, 1985; Tramullas, Sánchez-Casabón, & Garrido-Picazo, 2013). These challenges may lead librarians to make bad analyses, and force them to make decisions based on wrong or weak information, which means unsatisfied users, and libraries lose their users and money.

The collection development process must provide a collection that meets the appropriate needs of its users’ population within the limits of its fiscal and personnel resources of the digital library (Atkinson, 2004; Johnson, 2014). A collection development involves many activities like e-resources acquisitions, budget management and digitization (Kaur & Gaur, 2017). The fundamental process in collection development is e-resources selection for different collection development activities. The selection process may be highly complex, given the numerous factors that can be involved and that must be taken into consideration as the information needs of users community, e-resources prices and library budget (Siguenza Guzman, Saquicela, & Cattrysse, 2014).

This paper proposes a decision support system (DSS) based on PROMETHEE II method and revised SIMOS procedure (Brans, Vincke, & Mareschal, 1986; José Figueira & Bernard Roy, 2002) for evaluating and selecting e-resources based on users’ information needs. The proposed DSS tries to answer the following questions: what are e-books preferred by users? What is the e-journals and databases wanted by users? Since academic digital libraries and other type of digital libraries as well are designed for people (its users) to use, selecting e-resources by users is the most important. Simply the proposed DSS extracts users search queries from log files, and then analyzes search queries to get each user preferences, and finally, use these preferences to evaluate and rank e-resources by PROMETHEE II method.

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