Dealing with emergent design science research projects in IS

Multiple models, methods and frameworks have been proposed to guide Design Science Research (DSR) application to address relevant classes of problems in Information Systems (IS) discipline. While much of the ambiguity around the research paradigm has been removed, only the surface has been scratched on DSR efforts where researcher takes an active role in organizational and industrial engagement to solve a specific problem and generalize the solution to a class of problems. Such DSR projects can have a significant impact on practice, link theories to real contexts and extend the scope of DSR. Considering these multiform settings, the implications to theorizing nor the crucial role of researcher in the interplay of DSR and IS projects have not been properly addressed. The emergent nature of such projects needs to be further investigated to reach such contributions for both theory and practice. This paper raises multiple theoretical, organizational and managerial considerations for a meta-level monitoring model for emergent DSR projects.

A post-structuralist analysis of Irish youth crime prevention policy with specific emphasis on the Garda youth diversion projects

Garda Youth Diversion Projects (GYDPs) have since their beginnings in the early 1990s gained an increasingly important role and now constitute a central feature of Irish youth justice provision. Managed by the Irish Youth Justice Service and implemented by the Gardai and a variety of youth work organisations as well as independent community organisations, GYDPs are located at the crossroads of welfarist and corporatist approaches to youth justice, combining diversionary and preventative aspects in their work. To date, these projects have been subjected to very little systematic analysis and they have thus largely escaped critical scrutiny. To address this gap, this thesis locates the analysis of GYDP policy and practice within a post-structuralist theoretical framework and deploys discourse analysis primarily based on the work of Michel Foucault. It makes visible the official youth crime prevention and GYDP policy discourses and identifies how official discourses relating to youth crime prevention, young people and their offending behaviour, are drawn upon, negotiated, rejected or re-contextualised by project workers and JLOs. It also lays bare how project workers and JLOs draw upon a variety of other discourses, resulting in multi-layered, complex and sometimes contradictory constructions of young people, their offending behaviour and corresponding interventions. At a time when the projects are undergoing significant changes in terms of their repositioning to operate as the support infrastructure underpinning the statutory Garda Youth Diversion Programme, the thesis traces the discursive shifts and the implications for practice that are occurring as the projects move away from a youth work orientation towards a youth justice orientation. A key contribution of this thesis is the insight it provides into how young people and their families are being constituted in individualising and sometimes pathologising ways in GYDP discourses and practices. It reveals the part played by the GYDP intervention in favouring individual and narrow familial causes of offending behaviour while broader societal contexts are sidelined. By explicating the very assumptions upon which contemporary youth crime prevention policy, as well as GYDP policy and practice are based, this thesis offers a counterpoint to the prevailing evidence-based agenda of much research in the field of Irish youth justice theory and youth studies more generally. Rather, it encourages the reader to take a step back and examine some of the most fundamental and unquestioned assumptions about the construction of young people, their offending behaviour and ways of addressing this, in contemporary Irish youth crime prevention policy and practice.

Action design research: a comparison with canonical action research and design science

This research in progress paper addresses the IS issue in relation to conducting relevant research while keeping academic rigor. In particular, it contributes to the ongoing academic conversation around the investigation on how to incor-porate action in design science research. In this document the philosophical underpinnings of the recently proposed methodology called Action Design Re-search [1] are derived, outlined and integrated into Burrel and Morgan’s Par-adigmatic Framework (1979)[6]. The results so far show how Action Design Research can be considered as a particular case of Design Science Research (rather than a methodology closely related to Action Research) although they can assume two different epistemological positions. From these philosophical perspectives, future works will involve the inclusion of actual research projects using the three different methodologies. The final goal is to outline and structure the divergences and similarities of Action Design Research with Design Science Research and Canonical Action Research.

Effectuation and its implications for socio-technical design science research in information systems

We study the implications of the effectuation concept for socio-technical artifact design as part of the design science research (DSR) process in information systems (IS). Effectuation logic is the opposite of causal logic. Ef-fectuation does not focus on causes to achieve a particular effect, but on the possibilities that can be achieved with extant means and resources. Viewing so-cio-technical IS DSR through an effectuation lens highlights the possibility to design the future even without set goals. We suggest that effectuation may be a useful perspective for design in dynamic social contexts leading to a more dif-ferentiated view on the instantiation of mid-range artifacts for specific local ap-plication contexts. Design science researchers can draw on this paper’s conclu-sions to view their DSR projects through a fresh lens and to reexamine their re-search design and execution. The paper also offers avenues for future research to develop more concrete application possibilities of effectuation in socio-technical IS DSR and, thus, enrich the discourse.

Content-aware compression for big textual data analysis

A substantial amount of information on the Internet is present in the form of text. The value of this semi-structured and unstructured data has been widely acknowledged, with consequent scientific and commercial exploitation. The ever-increasing data production, however, pushes data analytic platforms to their limit. This thesis proposes techniques for more efficient textual big data analysis suitable for the Hadoop analytic platform. This research explores the direct processing of compressed textual data. The focus is on developing novel compression methods with a number of desirable properties to support text-based big data analysis in distributed environments. The novel contributions of this work include the following. Firstly, a Content-aware Partial Compression (CaPC) scheme is developed. CaPC makes a distinction between informational and functional content in which only the informational content is compressed. Thus, the compressed data is made transparent to existing software libraries which often rely on functional content to work. Secondly, a context-free bit-oriented compression scheme (Approximated Huffman Compression) based on the Huffman algorithm is developed. This uses a hybrid data structure that allows pattern searching in compressed data in linear time. Thirdly, several modern compression schemes have been extended so that the compressed data can be safely split with respect to logical data records in distributed file systems. Furthermore, an innovative two layer compression architecture is used, in which each compression layer is appropriate for the corresponding stage of data processing. Peripheral libraries are developed that seamlessly link the proposed compression schemes to existing analytic platforms and computational frameworks, and also make the use of the compressed data transparent to developers. The compression schemes have been evaluated for a number of standard MapReduce analysis tasks using a collection of real-world datasets. In comparison with existing solutions, they have shown substantial improvement in performance and significant reduction in system resource requirements.