O Economic Development, Technological Change, and Growth
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The aim of this paper is to investigate the motivations that lead higher education students to replace several Learning Management Systems (LMS) services with cloud file hosting services for information sharing and collaboration among them. The research approach is based on the Technology Acceptance Model (TAM). More specifically, the model is devoted to identifying barriers and enablers to the acceptance of these technologies. A questionnaire comprising three factors (Attitude toward using technology, Perceived ease of use and Perceived usefulness) was applied to a sample consisting of 121 higher education students. Results show that the
perceived ease of use of cloud file hosting services is above that of LMS tools and services and that cloud file hosting services presented higher levels of perceived usefulness than standard learning management tools. In addition, attitude toward using cloud file hosting services is well above that of using LMS tools.
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A key point that remains to be addressed is the assurance of service levels for end-user applications that rely on these provider models. This chapter describes an approach for addressing non-functional properties (NFPs) of services in service-oriented architectures (SOA). The approach is based on reference models such as the IT Infrastructure Library (ITIL) and the SOA life cycle model. It has been applied in several industrial settings in the telecommunications sector.
The purpose of this work is to provide a representative survey of current trends in the perception, assessment and adoption of cloud computing within the enterprise. Cloud computing can be regarded as the general principle for using and providing web and grid services. First, we provide a meta-study, where we evaluate existing and published empirical studies. Furthermore, we conduct and evaluate an own empirical study with a representative group of European and International enterprises. Key findings of the work include the significantly higher importance of Business Drivers for the adoption of cloud computing, as compared to Technical Drivers.
Enterprises today often strive to keep up with the paces of technological development. A particular case in point is the IT function where traditional governance approaches are often questioned by technology trends. Examples for such trends in the last ten years are the service-oriented architecture (SOA) and cloud computing. The introduction of SOA in the enterprise was one of the key enablers for cloud computing. Therefore, it can serve as a natural fit for bringing traditional IT governance approaches forward to the challenges of cloud governance. This article presents an approach for extending IT governance mindsets to the areas of SOA and cloud governance. It allows an IT organisation the adaptation and the continuous usage of already established governance knowledge and models during the adoption of cloud computing solutions. The authors also present an application case study where they demonstrate the feasibility of the approach in real-life scenarios in the context of an international telecommunication provider.
Knowledge of behavioral patterns of a system can contribute to an optimized management and governance of the same system, or of similar systems. While human experience often manifests itself as intuition, intuition can be notoriously misleading, particularly in the case of quantitative data and subtle relations between different data sets. This article augments managerial intuition with knowledge derived from a specific byproduct of automated transaction processing performance and log data of the processing software. More specifically, the authors consider data generated by incident management and ticketing systems within IT support departments. The authors’ approach utilizes a rigorous analysis methodology based on System Dynamics. This allows for identifying real causalities and hidden dependencies between different datasets. The authors can then use them to derive and assemble knowledge bases for improved management and governance in this context. This approach is able to provide more in depth insights as compared to typical data visualization and dashboard techniques. In the experimental results section, the authors demonstrate the feasibility of the approach. It is applied on real life datasets and log files from an international telecommunication provider and considered different improvements in management and governance that result from it.
Dependability should be considered throughout the phases of the SOA life cycle. This article proposes the application of a service level management approach to address dependability and presents dependability-related activities for every stage (Model, Assemble, Deploy, and Manage) of the SOA life cycle. Furthermore, we describe the concepts and the formalisms that are behind these activities. Following these activities service providers and aggregators can offer optimized levels of dependability from their existing services and thus better meet user requirements.
Cloud Computing is emerging as a predominant paradigm for obtaining and providing computing functionality in the enterprise. Organizations that are planning to use cloud computing offerings struggle with the question “How do I choose the right offering?” Cloud offerings exhibit a variety of pricing models and different levels of service and functionality. In this article the authors define first Cloud Computing in the context of IT Governance. Then they set criteria to compare different offerings at the level of Software-as-a-Service (SaaS). This is an important precondition for the reduction of the verifiable information asymmetry and uncertainty in the cloud market. Besides deficiencies on the supply side, regarding configuration, display and communication of service bundles, the limited knowledge of potential buyers is main reason for the modest adoption. The authors apply strategies derived from information economics to reduce this asymmetry by integrating information substitutes in the service marketplace description, thereby transforming experience and credence qualities into search qualities.
When optimizing IT operations organizations typically aim to optimize resource usage. In general, there are two kinds of IT resources - IT infrastructures and IT staff. An optimized utilization of these resources requires both quantitative and qualitative analysis. While IT infrastructures can offer raw data for such analyses, data about IT staff often requires additional preparation and augmentation. One source for IT staff-related data can be provided by incident management and ticketing systems. While performance data from such systems is often stored in logfiles it is rarely evaluated extensively. In this article we propose the usage of such data sources for IT staff behavior evaluation and also present the relevant augmentation techniques. We claim that our approach is able to provide more in-depth insights as compared to typical data visualization and dashboard techniques. Our modeling methodology is based on the approach of system dynamics. We also provide formal models and simulation results where we demonstrate the feasibility of the approach using real-life logfiles from an international telecommunication provider.