5,523 research outputs found

    Using a Knowledge Management Approach to Support Effective Succession Planning in the Civil Service

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    The modern workforce is highly mobile. The challenge facing organisations is how to safeguard key expertise and knowledge in the face of staff mobility and turnover. The Irish Civil Service is still recovering from the impacts of significant loss of staff, and their knowledge and expertise, as a result of cutbacks over recent years. This project will establish the potential of using a Knowledge Management approach to support effective succession planning in the Civil Service. The literature review charts the evolution of Knowledge Management from when the phrase was first coined in 1986 through to what is considered to be the latest generation of Knowledge Management enabled by Social Software. The journey has not been an easy one with challenges along the way including confusing terminology, failing initiatives, and an over-emphasis on technology not entirely suited to the human endeavour that is knowing. However, the arrival of Social Software, or Web 2.0, so heavily used by the millennial generation, has revitalised the KM field with it’s the enhanced user experience. This project was initially informed by interviews with recent appointees to their roles and a case study on the experience of one organisation in using a wiki to support knowledge management. A OneNote wiki hosted on Microsoft SharePoint was implemented and a group of 16 middle managers participated in the experiment to assess its potential as a repository to capture and share key knowledge about the organisation. The conclusions of the experiment include that succession planning is important for organisations to protect key knowledge and expertise; it is important to strike the right balance between people, process, and technology; use of overly academic or technical language should be avoided; the technology is no longer a major inhibitor; structures and rules should be in place so that only appropriate content is posted to a corporate wiki; for a wiki to be successful it needs to be relevant, have a purpose, and the content updated on an on-going basis; people are the most important dimension to succession planning and any knowledge-based endeavour

    Strategic analysis of the implementation of a CRM technology in a telecommunications company

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    Después de desarrollar una práctica de 6 meses el proyecto de implementación de una plataforma CRM en una empresa Italiana de telecomunicaciones, se identificaron los principales factores que afectan el éxito del proyecto y se desarrolló un análisis a nivel estratégico. La investigación parte del análisis del proceso de ventas (proceso directamente afectado por la plataforma implementada) y su interacción con el sistema, seguido de la aplicación de un modelo que posiciona el CRM de la empresa a un nivel estratégico y finaliza con el desarrollo de un sistema de medición para evaluar el rendimiento del sistema CRM.After a 6-month internship in an Italian Telecommunications Company, in the project management of the implementation of a CRM system, the main issues regarding it were identified and a strategic analysis was developed. The study begins with the analysis of the business process affected by the CRM, then a theoretical framework that positions the company s CRM at a strategic level is applied, and finally, a measurement system to evaluate CRM performance is developed.Ingeniero (a) IndustrialPregrad

    Digital transformation as a backbone for holistic product development of transformers

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    Transformer manufacturers have a tough job competing globally, as it is a traditional, highly legacy driven, price-sensitive that also demands high reliability. With shareholders targeting to improve profits, manufacturers tend to focus on production capacity, flexibility, and improving production processes. On the contrary, when production goes global, the product development process faces critical hallenges in localisation of design and production, transnational design collaboration and meeting local regulations and standards. Therefore, it becomes key to international success. Digital transformation is a lever for transforming the product development process to realise the success of the global expansion. The article covers proven technologies from other industries and captures customers’ requirements to order execution by managing product complexity. System driven product development can be used as a tool for system thinking by adapting modularisation, knowledge management, and design automation in engineering design processes. A combination of these technologies can be successfully used to build a paperless factory and product digital twin. This article acts as a guide to top managers in defining proven approaches to the digital transformation of the product development process and hence to achieve success. Digital transformation in the product development of transformers is an important lever to increase profitability in transformer manufacturing. Digital transformation is a top management topic and needs a strategic approach. If appropriately addressed, it has the ability to transform the entire business. This encompasses multiple important functions, from customer requirements, product portfolio management, complexity management, design and development, manufacturing support, supply chain management. All these need to be integrated with a digital thread by analysing the existing process in four layers: product development process, sub-process, objects, and IT architecture. Following a combination of the top-down and bottom-up approach, management can successfully convert the benefits of digital transformation into balance sheet figures

    Challenges and opportunities managing “Breenfield” Assets – A case study from Norwegian Continental Shelf

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    This thesis examines the challenges and opportunities in managing "Breenfield" offshore energy assets during Mergers and Acquisitions in the Norwegian Continental Shelf (NCS). The study aims to analyze the dynamics of managing these assets based on existing standards, evaluate the challenges specific to the NCS, and explore methods to address these challenges during mergers and acquisitions. Key findings reveal that organizational aspects, personnel competence, and cultural differences are the primary challenges in the O&M context. Successful integration requires careful planning, consistent governance, standardization, and effective communication. Addressing personnel and organizational aspects, rather than relying solely on technology, is very important for a smooth transitioning. In addition, challenges include managing organizational changes, regulatory compliance, and harmonizing operational practices, necessitating effective communication, change management, and risk assessment. This research contributes to asset management by uncovering challenges and opportunities in managing "Breenfield" assets, filling a literature gap in offshore energy asset management during mergers and acquisitions. It also identifies best practices for future scenarios, promoting successful outcomes and a sustainable energy industry. Despite its contributions, this study has limitations, including limited relevant literature, a focus solely on the NCS offshore energy industry, confidentiality constraints, and a narrow focus on "Breenfield" assets. The research employed qualitative methods, including case study research, literature review, and report analysis. Overall, this thesis provides insights into managing "Breenfield" assets during offshore energy mergers and acquisitions. It aims to enhance asset management practices, improve efficiency, and facilitate successful integration in the energy sector, benefiting professionals, decision-makers, and future researchers

    Investigation of an intelligent personalised service recommendation system in an IMS based cellular mobile network

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    Success or failure of future information and communication services in general and mobile communications in particular is greatly dependent on the level of personalisations they can offer. While the provision of anytime, anywhere, anyhow services has been the focus of wireless telecommunications in recent years, personalisation however has gained more and more attention as the unique selling point of mobile devices. Smart phones should be intelligent enough to match user’s unique needs and preferences to provide a truly personalised service tailored for the individual user. In the first part of this thesis, the importance and role of personalisation in future mobile networks is studied. This is followed, by an agent based futuristic user scenario that addresses the provision of rich data services independent of location. Scenario analysis identifies the requirements and challenges to be solved for the realisation of a personalised service. An architecture based on IP Multimedia Subsystem is proposed for mobility and to provide service continuity whilst roaming between two different access standards. Another aspect of personalisation, which is user preference modelling, is investigated in the context of service selection in a multi 3rd party service provider environment. A model is proposed for the automatic acquisition of user preferences to assist in service selection decision-making. User preferences are modelled based on a two-level Bayesian Metanetwork. Personal agents incorporating the proposed model provide answers to preference related queries such as cost, QoS and service provider reputation. This allows users to have their preferences considered automatically

    Experiences of new headteachers in cities

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    A knowledge development lifecycle for reflective practice

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    Reflective practice is valuable because of its potential for continuous improvement through feedback and learning. Conventional models of knowledge practice however do not explicitly include reflection as part of the practice, nor locate it in a developmental cycle. They focus on modelling in a knowledge plane which itself is contextualised by active knowing processes, and ignore the influence of power in their activity models. Further, many models focus on either an artefact or a process view, resulting from a conceptual disconnect between knowledge and knowing, and failure to relate passive to active views. Using the idea of higher order loops that govern knowledge development processes, in this paper we propose a conceptualisation of a reflective Knowledge Development Life Cycle (KDLC). This explicitly includes the investigator and the organisation itself as dynamic components of a systemic process and is suited to either a constructivist or realist epistemological stance. We describe the stages required in the KDLC and discuss their significance. Finally we show how incorporation of reflection into process enables dynamic interplay between the knowing and the knowledge in the organisation

    A STUDY OF GENDER IN SENIOR CIVIL SERVICE POSITIONS IN IRELAND. ESRI RESEARCH SERIES NUMBER 66 DECEMBER 2017

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    Women make up the majority of those employed in the civil service but are underrepresented at the most senior grades, where key policy and operational decisions are taken. Action 8 of the Civil Service Renewal Plan commits to improving gender balance at each level, including senior grades. The present study was commissioned by a high-level steering group set up to oversee implementation of this action. It draws on a combination of administrative data, reanalysis of the Civil Service Employee Engagement Survey conducted in 2015, and in-depth work history interviews with 50 senior civil servants across four departments. In addition, in-depth interviews were conducted with staff involved in recruitment and promotion within the public service. This rich combination of data yields new insights into the processes shaping gender differences in representation at the most senior grades of the civil service and thus provides a strong evidence base to inform future policy and practice

    Design for energy-efficient and reliable fog-assisted healthcare IoT systems

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    Cardiovascular disease and diabetes are two of the most dangerous diseases as they are the leading causes of death in all ages. Unfortunately, they cannot be completely cured with the current knowledge and existing technologies. However, they can be effectively managed by applying methods of continuous health monitoring. Nonetheless, it is difficult to achieve a high quality of healthcare with the current health monitoring systems which often have several limitations such as non-mobility support, energy inefficiency, and an insufficiency of advanced services. Therefore, this thesis presents a Fog computing approach focusing on four main tracks, and proposes it as a solution to the existing limitations. In the first track, the main goal is to introduce Fog computing and Fog services into remote health monitoring systems in order to enhance the quality of healthcare. In the second track, a Fog approach providing mobility support in a real-time health monitoring IoT system is proposed. The handover mechanism run by Fog-assisted smart gateways helps to maintain the connection between sensor nodes and the gateways with a minimized latency. Results show that the handover latency of the proposed Fog approach is 10%-50% less than other state-of-the-art mobility support approaches. In the third track, the designs of four energy-efficient health monitoring IoT systems are discussed and developed. Each energy-efficient system and its sensor nodes are designed to serve a specific purpose such as glucose monitoring, ECG monitoring, or fall detection; with the exception of the fourth system which is an advanced and combined system for simultaneously monitoring many diseases such as diabetes and cardiovascular disease. Results show that these sensor nodes can continuously work, depending on the application, up to 70-155 hours when using a 1000 mAh lithium battery. The fourth track mentioned above, provides a Fog-assisted remote health monitoring IoT system for diabetic patients with cardiovascular disease. Via several proposed algorithms such as QT interval extraction, activity status categorization, and fall detection algorithms, the system can process data and detect abnormalities in real-time. Results show that the proposed system using Fog services is a promising approach for improving the treatment of diabetic patients with cardiovascular disease
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