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Governments and citizens operate in a digital environment, leaving digital trails whatever they do and wherever they go.These trails generate huge quantities of information about themselves, each other and any interactions they have.In this context, the most important elements of an organization that deals with people are the information it can access and the intelligence provided by analysis of that information.Information and intelligence generate capacity for innovation, efficiency and the agility to adapt to a rapidly changing environment.These statements are as true for public as for private organizations; most governments in the 21 st century industrialised world and beyond are reliant on a large digital presence and complex network of large-scale information systems for administrative operations and policy-making.These systems go beyond being critical for policy implementation to shaping the whole context within which policy and service delivery choices are made, either facilitating innovation or constraining policy options.Simply put, many or even most government departments and agencies 'are' their information systems and digital presence -the only part of them with which many citizens will interact (Margetts, 1999;Dunleavy, Margetts et al, 2008, Steinberg, 2012).Yet those that direct, manage and study government can find it bewildering to negotiate this rapidly changing information environment or to prioritise the interactions and feedback loops that would capitalise on the potential of the internet and digital technologies for public policy solutions and service delivery, particularly in the prolonged period of austerity following the financial crash of 2008.Consequently, the online worlds of governments and citizens remain strangely separate and distinct.The state can lag behind technological trends endangering its operation.As driverless cars become a reality, for example, the technology available to service them far outstrips the development of the legal framework to govern their use or allocate responsibility, for example when two driverless cars crash.
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Stored only when both papers are in the corpus — 51 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.