119 research outputs found

    Realising Benefits from Current ERP and CRM Systems Implementations: An Empirical Study

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    In this study we report on the benefits achieved from enterprise systems implementations. Building on the existing research this paper uses the expectation-benefits framework as an analytical lens to identify and understand realised benefits. The study comprises 14 empirical case studies that focus on projects to extend existing ERP and CRM implementations. The work serves two key objectives. First to gain greater insights into the range and scope of realised benefits and second to further validate the exp-ben framework. Benefits are identifed in all four areas of the exp-ben framework. Most notable is the continued focus on achieving integration and in the improvement of information quality and better business intelligence

    An Empirical Study of Enterprise 2.0 in Context

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    As Enterprise 2.0 (E2.0) initiatives are gradually moving out of the early experimenta-tion phase it is time to focus greater attention on examining the structures, processes and operations surrounding E2.0 projects. In this paper we present the findings of an empirical study to investigate and understand the reasons for initiating E2.0 projects and the benefits being derived from them. Our study comprises seven in-depth case studies of E2.0 implementations. We develop a classification and means of visualising the scope of E2.0 initiatives and use these methods to analyse and compare projects. Our findings indicate a wide range of motivations and combinations of technology in use and show a strong emphasis towards the content management functionality of E2.0 technologies

    The Concept of Social Business: Oxymoron or Sign of a Changing Work Culture?

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    The article discusses the source and pertinence of the term “Social Business”. We present the findings from a study of projects that are in the early stages of adoption of Social Software in organisations. Using a qualitative research approach we examine real-world cases of implementations of integrated Enterprise Collaboration Systems. 16 existing cases (desk research) and three new cases (field research) are analysed and the findings are compared and aggregated. We apply the 8C Model as an analytical lens to guide the coding of the case data. The study’s results reveal the relations between the different concepts (features, components, collaboration scenarios) that can be identified in the cases. The findings show that the most popular usage scenarios of the software are not very “social” but support people in their daily joint work with a focus on getting the job done. The study also reveals possible beneficial factors for the adoption of Social Software such as improved personal information management, mobile devices and unified communication, and better workspace and presence awareness

    An Extended Framework for Comparing Expectations and Realized Benefits of Enterprise Systems Implementations

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    Realizing business value and identifying the benefits arising from implementations of enterprise systems remains a significant challenge for both research and practice. A review of existing work on enterprise systems benefits reveals that current frameworks pay limited attention to contextual and temporal variations, socio-technical and business change, and levels of benefit realization. This research study investigates the complex mix of expected and realized benefits specifically arising from ERP systems. The aim is to address the limitations of current frameworks and extend theoretical understandings to provide a richer picture of ERP benefits and their contextual variation. Drawing on data gathered from more than 60 case study organizations of differing size, maturity and industry sector the study adopts an iterative content analysis to empirically derive a comprehensive benefits framework. The extended classification and the methodology used to construct it are presented and discussed along with their implications for future research and practice

    A Multiorganisational Study of the Drivers and Barriers of Enterprise Collaboration Systems-Enabled Change

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    Enterprise Collaboration Systems (ECS) are emerging as the de facto technology platform for the digital workplace. This paper presents findings from an in-depth, multiorganisational study that examines the drivers and barriers of ECS-enabled change from two perspectives: i) the company initiating and driving the project and ii) key practitioners responsible for delivering the change. Data is collected from ECS using companies via a survey and face-to-face workshops, analysed using qualitative content analysis methods to identify categories of change and then synthesised to provide a rich classification and visualisation of the drivers, barriers, motivations and pain points (DBMP) to ECS-enabled change. This is followed by a discussion of the similarities and differences between drivers and barriers from both personal and company perspectives. The paper concludes by exploring the potential of the research and visualisation methods used in this work to provide the foundation for the longitudinal study of ECS-enabled change

    Managing enterprise information: meeting performance and conformance objectives in a changing information environment

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    This paper presents the findings of an in-depth survey to examine the current status of enterprise information management (EIM) in organizations. The survey explores five key areas: drivers and capabilities of EIM; current status of EIM strategies; EIM content and technologies; EIM and compliance; and the changing role of the information professional. The survey reveals that the drivers for EIM cannot be simply reduced to a series of technical or organizational needs and that EIM is a complex sociotechnical phenomenon. A fine balance is required to achieve business performance objectives whilst at the same time also meeting conformance requirements. To date, few organizations have implemented enterprise-wide EIM strategies; however those who do have them are better able to keep track of, and achieve, performance objectives. In terms of technologies and content the landscape is complex with organizations focusing their efforts into managing and reducing this complexity. Finally information management work is changing; the survey reveals EIM as a multi-stakeholder activity requiring the combination of a wide range of professional groups, skills and knowledge. The survey findings provide the basis for further research investigations in supporting organization in their EIM initiatives

    Enterprise 2.0 Research: Meeting the Challenges of Practice

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    Through an in-depth survey of scholarly research studies and practitioner reports this study examines the extent to which current scholarly research addresses the challenges and impacts of Enterprise 2.0 (E2.0) being faced by organisations. Our findings reveal that whilst there is a growing body of work about E2.0, the first stream of research has focused primarily on providing an overview of E2.0 and its adoption and use. Our analysis of the practitioner literature reveals a different set of imperatives clustered around information management and compliance issues, the identification and measurement of benefits and the integration of social software into organisational business processes and business software. To address this misalignment of research imperatives we propose a second stream of research that moves attention from the initiation and exploration of E2.0 to its institutionalisation and integration

    Management der Nutzenrealisierung aus Informationstechnologie

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    Seit 30 Jahren beschäftigt sich die WI-Forschung mit dem Thema „Nutzen aus dem Einsatz von Informationstechnologie“. Über die Jahre sind viele Publikationen erschienen, die unterschiedliche Ausrichtungen, Begriffe und Konzepte verwenden. Der vorliegende Beitrag schafft in einem ersten Schritt einen Überblick über einen Teil der vorhandenen Literatur. Im zweiten Schritt wird ein Modell zur gezielten Realisierung von Nutzen (das NuRITModell) vorgestellt, das existierende Ansätze in einem integrierten Ansatz für Wissenschaft und Praxis nutzbar machen will

    Risk factors and prediction models for incident heart failure with reduced and preserved ejection fraction

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    Abstract: Aims: This study aims to develop the first race‐specific and sex‐specific risk prediction models for heart failure with preserved (HFpEF) and reduced ejection fraction (HFrEF). Methods and results: We created a cohort of 1.8 million individuals who had an outpatient clinic visit between 2002 and 2007 within the Veterans Affairs (VA) Healthcare System and obtained information on HFpEF, HFrEF, and several risk factors from electronic health records (EHR). Variables were selected for the risk prediction models in a ‘derivation cohort’ that consisted of individuals with baseline date in 2002, 2003, or 2004 using a forward stepwise selection based on a change in C‐index threshold. Discrimination and calibration were assessed in the remaining participants (internal ‘validation cohort’). A total of 66 831 individuals developed HFpEF, and 92 233 developed HFrEF (52 679 and 71 463 in the derivation cohort) over a median of 11.1 years of follow‐up. The HFpEF risk prediction model included age, diabetes, BMI, COPD, previous MI, antihypertensive treatment, SBP, smoking status, atrial fibrillation, and estimated glomerular filtration rate (eGFR), while the HFrEF model additionally included previous CAD. For the HFpEF model, C‐indices were 0.74 (SE = 0.002) for white men, 0.76 (0.005) for black men, 0.79 (0.015) for white women, and 0.77 (0.026) for black women, compared with 0.72 (0.002), 0.72 (0.004), 0.77 (0.017), and 0.75 (0.028), respectively, for the HFrEF model. These risk prediction models were generally well calibrated in each race‐specific and sex‐specific stratum of the validation cohort. Conclusions: Our race‐specific and sex‐specific risk prediction models, which used easily obtainable clinical variables, can be a useful tool to implement preventive strategies or subtype‐specific prevention trials in the nine million users of the VA healthcare system and the general population after external validation
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