Cloud computing has become central to current discussions about corporate Information technology. To assess the impact that cloud may have on enterprises, it is important to evaluate the claims made in the existing literature and critically review these claims against empirical evidence from the field. To this end, this paper provides a framework within which to locate existing and future research on cloud computing. This framework is structured around a series of technological and service ‘desires’, that is, characteristics of cloud that are important for cloud users. The existing literature on cloud computing is located within this framework and is supplemented with empirical evidence from interviews with cloud providers and cloud users that were undertaken between 2010 and 2012. The paper identifies a range of research questions that arise from the analysis.

The concept of "Government as a Platform" (GaaP) (O'Reilly 2009) is coined frequently, but interpreted inconsistently: views of GaaP as being solely about technology and the building of technical components ignore GaaP's radical and disruptive embrace of a new economic and organisational model with the potential to improve the way Government operates-helping resolve the binary political debate about centralised versus localised models of public service delivery. We offer a structured approach to the application of the platforms that underpin GaaP, encompassing not only their technical architecture, but also the other essential aspects of market dynamics and organisational form. Based on a review of information systems platforms literature, we develop a Platform Appraisal Framework (PAF) incorporating the various dimensions that characterise business models based on digital platforms. We propose this PAF as a general contribution to the strategy and audit of platform initiatives and more specifically as an assessment framework to provide consistency of thinking in GaaP initiatives. We demonstrate the utility of our PAF by applying it to UK Government platform initiatives over two distinct periods, 1999-2010 and 2010 to the present day, drawing practical conclusions concerning implementation of platforms within the unique and complex environment of the public sector.

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We present a reflexive retrospective account of a UK government research council funded project deploying knowledge management software to support environmental sustainability in the construction industry. This project was set up in a form typical of a Mode 2 research programme involving several academic institutions and industrial partners, and aspiring to fulfil the Mode 2 criteria seen as transdisciplinarity and business relevance. The multidisciplinary nature is analysed through retrospectively reflecting upon the research process and activities we carried out, and is found to be problematic. No real consensus was reached between the partners on the 'context of application'. Difficulties between industry and academia, within industry and within academia led to diverging agendas and different alignments for participants. The context of application does not (pre-)exist independently of institutional influences, and in itself cannot drive transdisciplinarity since it is subject to competing claims and negotiations. There were unresolved tensions in terms of private vs. public construction companies and their expectations of ICT-based knowledge management, and in terms of the sustainable construction agenda. This post hoc reflexive account, enables us to critique our own roles in having developed a managerial technology for technically sophisticated and powerful private industrial actors to the detriment of public sector construction partners, having bypassed sustainability issues, and not reached transdisciplinarity. We argue that this is due to institutional pressures and instrumentalization from academia, industry and government and a restricted notion of business relevance. There exists a politically motivated tendency to oppose Mode 1 academic research to practitioner-oriented Mode 2 approaches to management research. We argue that valuing the links between co-existing Mode 1 and 2 research activities would support a more genuine and fuller exploration of the context of application.

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Purpose: Although cloud computing has been heralded as driving the innovation agenda, there is growing evidence that cloud is actually a "slow train coming". The purpose of this paper is to seek to understand the factors that drive and inhibit the adoption of cloud particularly in relation to its use for innovative practices.Design/methodology/approach: The paper draws on a composite research base including two detailed surveys and interviews with 56 participants in the cloud supply chain undertaken between 2010 and 2013. The insights from this data are presented in relation to set of antecedents to innovation and a cloud sourcing model of collaborative innovation.Findings: The paper finds that while some features of cloud computing will hasten the adoption of cloud and its use for innovative purposes by the enterprise, there are also clear challenges that need to be addressed before cloud can be successfully adopted. Interestingly, our analysis highlights that many of these challenges arise from the technological nature of cloud computing itself. Research limitations/implications (if applicable):The research highlights a series of factors that need to be better understood for the maximum benefit from cloud computing to be achieved. Further research is needed to assess the best responses to these challenges. Practical implications (if applicable):The research suggests that enterprises need to undertake a number of steps for the full benefits of cloud computing to be achieved. It suggests that collaborative innovation is not necessarily an immediate consequence of adopting cloud computing.Originality/value: The paper draws on an extensive research base to provide empirically informed analysis of the complexities of adopting cloud computing for innovation.

This paper examines systems development in a global collaborative community of high energy physics and offers insights and implications for agile systems development in other large scale and distributed settings. The paper studies the ongoing construction of the UK's computing grid for particle physics (GridPP), a grid that is itself part of the world's largest grid, the Large Hadron Collider Computing Grid (LHC). We observe in this project a collective, agile and distributed performance through which the Grid is constructed. We express this through the concept of "collective agility" which captures a large distributed performance rather than the more conventional sense of agility as small-group and deliberate systems development practices. The collective agility of GridPP is analysed as a process of "enacted emergence" expressed through the dynamics of six improvisation-paradoxes.

This paper presents the British Council's knowledge management strategy. It outlines how, as part of this strategy, the organization attempted to engender communities of practice among a strategically significant group spread across the 110 countries in which the organization operates. Using a case study of this group, the paper explores 'degenerative structures' that impact on the ability to engender communities of practice and, through consideration of issues of individualization and risk, highlights a series of paradoxes that inhibited this organization's attempt to move from a 'hub-and-spoke' structure to become a networked organization in which communities of practice flourish.