Emerging Topics in Digital Government
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ItemAnalytics for Autonomous C4ISR within e-Government: a Research Agenda( 2020-01-07)e-Government enables big data analytics to support decision processes in governing. C4ISR (Command, Control, Communications, Computers, Intelligence, Surveillance and Reconnaissance) is essentially e-Government scoped to military decision processes. The value of big data and its challenges are common to both. High variety and demand for veracity compel domain expertise-specific data analysis, and increasing volume and velocity hinder data analytics at scale. These conditions challenge even highly automated methods for comprehensive cross-domain analytics, and motivate cognitive approaches such as underlie Autonomous Systems (AS) aimed at C4ISR. A C4ISR framework is examined by parts, linking each C to ISR capability, and a taxonomy of analytics is extended to include cognitive autonomy enablers. Coupling these frameworks, the authors propose an extension of cognitive approaches for autonomy in C4ISR to e-Government in general and outline a research agenda for attaining it.
ItemThe Association between Institutional Absorptive Capacity, Electronic Procurement Assimilation and Procurement Process in Public Sector Organizations( 2020-01-07)Public sector organizations face challenges with their procurement processes. Electronic mode of public procurement enables governments and organizations to achieve efficient and effective tendering information processing, leading to transparency and fairness in the bidding process. However, little is known on the drivers of electronic procurement assimilation in the public sector. The study examines the influence of absorptive capacity on the assimilation of electronic procurement and the subsequent effect on the procurement process in the public sector. In addition, the study explores the mediating role of electronic procurement assimilation on the relationship between institutional absorptive capacity and the procurement process. Structural equation modeling was used to analyze 306 useable data from public sector organizations in Ghana where public procurement laws demand efficient and effective procurement processes. We found support for all the four hypotheses. We offer theoretical and managerial implications.