Applicability of autonomic computing to e‐government problems

Abstract

PurposeThe purpose of this paper is to present the results of preliminary analysis and research on the potential relevance and applicability of autonomic computing principles and practices to problems unique to e‐government.Design/methodology/approachThis paper examines the applicability of autonomic computing principles to four main e‐government problems thought to be potential candidates for autonomic computing practices. These problems include issues related to interoperability, blending technology and processes, and outdated business models and systems development methodologies.FindingsThis paper concludes that based upon current research and autonomic computing practices, solutions to interoperability could become realized through the application of autonomic computing practices within the public sector.Practical implicationsAdditional research is required to determine how other e‐government problems could benefit from future research and innovative solutions potentially available from the examination of autonomic computing practices.Originality/valueProblems associated with the successful implementation of e‐government are significant around the world; if autonomic computing, or some form of enabled technology could advance progress, this would be of value to the democratization of e‐government, and its associated social and economic implications.