Towards a Process Theory of IS Business Value Co-creation. Insights from enterprise systems adoption in an SME cluster

There is a growing emphasis on digital transformation in research and business practice. The creation of value from IS investments is a critical factor in digital transformation. It usually requires significant organizational transformation activities to realize the potential business value. Research has documented that the ability to realize IS value is a very challenging endeavor, especially for small and medium-sized enterprises (SMEs), who because of resource poverty are dependent on external input and cooperation with other companies. There is a general lack of research on how IS business value is co-created, particularly in small and medium-sized enterprises. This paper builds on the findings on value co-creation in a cluster of performing arts enterprises, to theorize about how co-creation among enterprises contribute to IS business value. The enterprises in the cluster engaged in a project to develop a collaborative approach towards strategic audience development utilizing CRM technology. The results expand our understanding of the dynamics related to co-creation. We find that co-creation can be an important avenue for SMEs to invest in IS and realize IS business value. We propose a modified IS business value framework to explain how networks of enterprises can co-create IS business value. This paper builds on the findings on value co-creation in a cluster of performing arts enterprises, to theorize about how co-creation among enterprises contribute to IS business value. The enterprises in the cluster engaged in a project to develop a collaborative approach towards strategic audience development utilizing CRM technology. The results expand our understanding of the dynamics related to co-creation. We find that co-creation can be an important avenue for SMEs to invest in IS and realize IS business value. We propose a modified IS business value framework to explain how networks of enterprises can co-create IS business value

Local E-Government in Norway: Current Status and Emerging Issues

Recent studies indicate that e-government initiatives have not held their promise of improving government services. The majority of efforts to benchmark e-government have had central government as the unit of analysis. This study employs the MeGAP-3 (The Municipal E-Government Assessmen Project) assessment tool to assess the status of municipal e-government in the Agder region in southern Norway, an area with high Internet penetration and mature information and communication technology (ICT) use. MeGAP-3 proved effective in providing a relative positioning of these Norwegian municipalities, but we argue that country specific assessment indicators are needed to complement the tool and enable cross-country comparisons by relative scores. Surprisingly, the results show that the sophistication of local government web sites was fairly low. A series of qualitative interviews were conducted to explore the factors that shape the development of municipal egovernment. The evidence suggests that the dominant stakeholder in development is the bureaucratic administration rather than citizens or politicians. This group has a strong focus on internal efficiency and cost reduction. The majority of respondents report cost reduction as the major driver behind egovernment development. However we also identified a more citizen-centric approach that stresses the need for improving access and service quality for citizens. The study outlines a number of areas where further research will be needed to fully understand the development of e-government in Norway

Process change projects: a study of Norwegian practice

Process change, in various incarnations, has been a central topic in the IS field for several decades. This paper presents an overview of Norwegian model-supported process-change practice, based on in-depth interviews of 33 informants, each describing a different process-change effort in one of 30 Norwegian enterprises. The overview focusses on use of process models, present versus future focus, ICT as enabler of change, participation, resistance to change and process ownership. Norwegian practice is then compared with the predominantly North-American process-change literature from a national-culture perspective. In particular, we find that stakeholder participation is high in Norwegian process-change projects and that resistance tends to be low, a finding consistent with theory on national-culture differences. The paper presents the first results from a larger project that aims to contribute towards a theory of model-based process change

Institutional Work for Enterprise Architecture

Enterprise architecture (EA) is a systematic approach used for designing and implementing changes in technological systems and processes to improve organizational performance and align technology with business. This paper unpacks the process through which EA moves from strategic-level endorsement to diffusion across organizations. The insights provided are based on a longitudinal case study within the Norwegian hospital sector. An institutional work lens is adopted to analyze the purposeful activities carried out to introduce EA in Norwegian hospitals providing a granular view on diffusion. The paper provides a rich description of the institutional work employed by the key actors involved mapping them to different turns in EA’s trajectory. Drawing from this analysis, we contribute to Information Systems literature with a conceptual model that illustrates how institutional work can mitigate the challenges of moving from the strategic-level endorsement of novelty to its diffusion and institutionalization smoothing downturns along the way. The findings indicate ways to facilitate the introduction of EA within complex organizations, providing insights for practitioners involved in EA initiatives, and advancing extant EA research through an institutional perspective

Principal component analysis for the comparison of metabolic profiles from human rectal cancer biopsies and colorectal xenografts using high-resolution magic angle spinning 1H magnetic resonance spectroscopy

<p>Abstract</p> <p>Background</p> <p>This study was conducted in order to elucidate metabolic differences between human rectal cancer biopsies and colorectal HT29, HCT116 and SW620 xenografts by using high-resolution magnetic angle spinning (MAS) magnetic resonance spectroscopy (MRS) and for determination of the most appropriate human rectal xenograft model for preclinical MR spectroscopy studies. A further aim was to investigate metabolic changes following irradiation of HT29 xenografts.</p> <p>Methods</p> <p>HR MAS MRS of tissue samples from xenografts and rectal biopsies were obtained with a Bruker Avance DRX600 spectrometer and analyzed using principal component analysis (PCA) and partial least square (PLS) regression analysis.</p> <p>Results and conclusion</p> <p>HR MAS MRS enabled assignment of 27 metabolites. Score plots from PCA of spin-echo and single-pulse spectra revealed separate clusters of the different xenografts and rectal biopsies, reflecting underlying differences in metabolite composition. The loading profile indicated that clustering was mainly based on differences in relative amounts of lipids, lactate and choline-containing compounds, with HT29 exhibiting the metabolic profile most similar to human rectal cancers tissue. Due to high necrotic fractions in the HT29 xenografts, radiation-induced changes were not detected when comparing spectra from untreated and irradiated HT29 xenografts. However, PLS calibration relating spectral data to the necrotic fraction revealed a significant correlation, indicating that necrotic fraction can be assessed from the MR spectra.</p

Kvasir-Capsule, a video capsule endoscopy dataset

Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work demonstrates the promising benefits of AI-based computer-assisted diagnosis systems for VCE. They also show great potential for improvements to achieve even better results. Also, medical data is often sparse and unavailable to the research community, and qualified medical personnel rarely have time for the tedious labelling work. We present Kvasir-Capsule, a large VCE dataset collected from examinations at a Norwegian Hospital. Kvasir-Capsule consists of 117 videos which can be used to extract a total of 4,741,504 image frames. We have labelled and medically verified 47,238 frames with a bounding box around findings from 14 different classes. In addition to these labelled images, there are 4,694,266 unlabelled frames included in the dataset. The Kvasir-Capsule dataset can play a valuable role in developing better algorithms in order to reach true potential of VCE technology

Early prediction of response to radiotherapy and androgen-deprivation therapy in prostate cancer by repeated functional MRI: a preclinical study

<p>Abstract</p> <p>Background</p> <p>In modern cancer medicine, morphological magnetic resonance imaging (MRI) is routinely used in diagnostics, treatment planning and assessment of therapeutic efficacy. During the past decade, functional imaging techniques like diffusion-weighted (DW) MRI and dynamic contrast-enhanced (DCE) MRI have increasingly been included into imaging protocols, allowing extraction of intratumoral information of underlying vascular, molecular and physiological mechanisms, not available in morphological images. Separately, pre-treatment and early changes in functional parameters obtained from DWMRI and DCEMRI have shown potential in predicting therapy response. We hypothesized that the combination of several functional parameters increased the predictive power.</p> <p>Methods</p> <p>We challenged this hypothesis by using an artificial neural network (ANN) approach, exploiting nonlinear relationships between individual variables, which is particularly suitable in treatment response prediction involving complex cancer data. A clinical scenario was elicited by using 32 mice with human prostate carcinoma xenografts receiving combinations of androgen-deprivation therapy and/or radiotherapy. Pre-radiation and on days 1 and 9 following radiation three repeated DWMRI and DCEMRI acquisitions enabled derivation of the apparent diffusion coefficient (ADC) and the vascular biomarker <it>K</it>^trans, which together with tumor volumes and the established biomarker prostate-specific antigen (PSA), were used as inputs to a back propagation neural network, independently and combined, in order to explore their feasibility of predicting individual treatment response measured as 30 days post-RT tumor volumes.</p> <p>Results</p> <p>ADC, volumes and PSA as inputs to the model revealed a correlation coefficient of 0.54 (p < 0.001) between predicted and measured treatment response, while <it>K</it>^trans, volumes and PSA gave a correlation coefficient of 0.66 (p < 0.001). The combination of all parameters (ADC, <it>K</it>^trans, volumes, PSA) successfully predicted treatment response with a correlation coefficient of 0.85 (p < 0.001).</p> <p>Conclusions</p> <p>We have in a preclinical investigation showed that the combination of early changes in several functional MRI parameters provides additional information about therapy response. If such an approach could be clinically validated, it may become a tool to help identifying non-responding patients early in treatment, allowing these patients to be considered for alternative treatment strategies, and, thus, providing a contribution to the development of individualized cancer therapy.</p

Genetic association study of QT interval highlights role for calcium signaling pathways in myocardial repolarization.

The QT interval, an electrocardiographic measure reflecting myocardial repolarization, is a heritable trait. QT prolongation is a risk factor for ventricular arrhythmias and sudden cardiac death (SCD) and could indicate the presence of the potentially lethal mendelian long-QT syndrome (LQTS). Using a genome-wide association and replication study in up to 100,000 individuals, we identified 35 common variant loci associated with QT interval that collectively explain ∼8-10% of QT-interval variation and highlight the importance of calcium regulation in myocardial repolarization. Rare variant analysis of 6 new QT interval-associated loci in 298 unrelated probands with LQTS identified coding variants not found in controls but of uncertain causality and therefore requiring validation. Several newly identified loci encode proteins that physically interact with other recognized repolarization proteins. Our integration of common variant association, expression and orthogonal protein-protein interaction screens provides new insights into cardiac electrophysiology and identifies new candidate genes for ventricular arrhythmias, LQTS and SCD

The ALICE TPC, a large 3-dimensional tracking device with fast readout for ultra-high multiplicity events

The design, construction, and commissioning of the ALICE Time-Projection Chamber (TPC) is described. It is the main device for pattern recognition, tracking, and identification of charged particles in the ALICE experiment at the CERN LHC. The TPC is cylindrical in shape with a volume close to 90 m3 and is operated in a 0.5 T solenoidal magnetic field parallel to its axis. In this paper we describe in detail the design considerations for this detector for operation in the extreme multiplicity environment of central Pb–Pb collisions at LHC energy. The implementation of the resulting requirements into hardware (field cage, read-out chambers, electronics), infrastructure (gas and cooling system, laser-calibration system), and software led to many technical innovations which are described along with a presentation of all the major components of the detector, as currently realized. We also report on the performance achieved after completion of the first round of stand-alone calibration runs and demonstrate results close to those specified in the TPC Technical Design Report.publishedVersio