Jaffar Alalwan

Enterprise content management research: a comprehensive review

Purpose – The purpose of this paper is to provide a comprehensive literature review of enterprise content management (ECM) research, a conceptual framework of areas of concern regarding ECM, and an agenda for future ECM research, based on the review and conceptual framework.Design/methodology/approach – To gain an understanding of the ECM literature, a structured research approach is adopted, consisting of two phases. The first phase consists of identifying the relevant ECM research papers. In the second phase, the analysis phase, the current ECM research is categorized based on three structural pillars: system component dimensions, system lifecycle, and strategic managerial aspects.Findings – After a review and classification of 91 ECM publications, it is found that ECM involves several sophisticated and interacting technical, social, organizational, and business aspects. The current ECM literature can be grouped around three main pillars: the first pillar consists of the four ECM component dimensions (t...

Decision support capabilities of enterprise content management systems

Enterprise content management (ECM) systems help organizations cope with the increasing complexity and volume of data and information. Despite the growing popularity of ECM, published literature indicates that organizations primarily use ECM for operational benefits, while the strategic decision making capabilities are rarely considered. Thus, the most significant rewards of ECM implementation may be largely forgone. This study investigates the potential of ECM technology for decision support. A research model is proposed and validated via an empirical investigation. The results show that ECM positively influences problem identification and definition, decision making speed and analysis, decision quality, and decision makers satisfaction. Investigate decision support capabilities of enterprise content management systemsDevelop conceptual model linking content stewardship with decision support activitiesHypotheses on impact of enterprise content management system use on decision makingOn-line survey of enterprise content management system users at large academic institutionECM systems help with problem identification and decision making speed and improve decision quality

Designing a Semantic Tool to Evaluate Web Content of Government Websites

E-government initiatives provide enormous volume of information via online content. As public information changes over time due to changes in laws and regulations, maintaining the currency and consistency of the web content becomes acutely important. Government agencies have to regularly evaluate the web content WC to ensure high quality of information available to the citizens, businesses and public administrators. Currently there exists no standardized approach for monitoring and maintaining WC. By analyzing the guidelines of three government organizations, the authors develop WC ontology for the systematic and formal representation of the concepts and functions in evaluating web content. An ontology-based evaluation tool is proposed that can be used to improve the quality of web content and efficiency of the evaluation process. The ontological approach holds promising features and benefits including information sharing, reducing time and paper work during evaluation, assuring more accurate results, and communicating evaluation results to knowledge engineers, public administrators, evaluators and decision makers associated with e-government initiatives.

Designing ERM Ontology to Evaluate Records Management System

Organizations seek to improve their records management (RM) system to have better efficiency and to meet legislative requirements. For achieving these two goals, evaluation of RM, which is normally done manually, is a necessity for every firm. In this paper, we design and evaluate an ontology that will help in evaluating RM systems. Building the ontology will be the first step in developing an ontology-based RM evaluation system. We argue that the proposed ontology based RM evaluation system has promising features and benefits. Evaluation by using ontology will raise the efficiency of the evaluation process as well as facilitate sharing and communicating the results of evaluation.