15,946 research outputs found

    Simulating Behavior Pattern of Key Performance Indicators to Improve Organization’s Safety Performance in Maritime Transport

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    Safety performance management is at the core of safety management system (SMS) in any organization. Managing organization\u27s safety performance in maritime transport is achieved through the identification of key performance indicators (KPIs), which are used to monitor and measure safety performance. Aim of this paper is to determine how behavior pattern of key performance indicators (KPIs) in the organization, can be simulated. Methods used for this research include methods of gathering, describing, and analyzing key performance indicators data of sample organization, as well as statistics, causal modeling, and simulation. Results show behavior pattern of key performance indicators (KPIs) in the organization due to causal impact of certain key performance indicator. In conclusion, the simulation showed how causal modeling techniques can be useful to simulate behavior pattern of key performance indicators (KPIs) in the organization in order to improve organization’s safety performance

    D6.1 (WP6): Key performance indicators (KPIs)

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    The project “Social network tools and procedures for developing entrepreneurial skills in PhD programmes” (prodPhD) aims to implement innovative social network-based methodologies for teaching and learning entrepreneurship in PhD programmes. The multidisciplinary teaching and learning methodologies to be developed will enable entrepreneurship education to be introduced into any PhD programme, providing students with the knowledge, skills, and motivation to engage in entrepreneurial activities. However, the use of the output of the project will depend on the nature and profile of the research or scientific field. In this context, key performance indicators (KPIs) form the base on which the quality and scope of the methodologies developed in the project will be quantified and benchmarked. The project’s final product will be an online tool that higher education students can use to learn entrepreneurship from a social network perspective. Performance measurement is one of the first steps of any project and involves the choice and use of indicators to measure the effectiveness and success of the project’s methods and results. All the KPIs have been selected according to criteria of relevance, measurability, reliability, and adequacy, and they cover the process, dissemination methods, and overall quality of the project. In this document, each KPI is defined together with the units and instruments for measuring it. In the case of qualitative KPIs, five-level Likert scales are defined to improve indicator measurability and reliability. The KPIs for prodPhD are divided into three main dimensions, depending on the stage of the project they evaluate. The three main dimensions are performance and development (which are highly related to the project’s process), dissemination and impact (which are more closely correlated with the project’s output), and overall project quality. Different sources (i.e., European projects and papers) have been drawn upon to define a set of 51 KPIs classified into six categories, according to the project phase they aim to evaluate. An Excel tool has been developed that collects all the KPIs analysed in the production of this document. This tool is shared in the Scipedia repository

    Key Performance Indicators (KPIs) in the Change Management of Public Administration

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    This paper is part of my progress work within the research topic focused on change management process in the public administration. The aim will be describing some specific and crucial milestones of this challenging process. Change is inevitable and a continuous process if we want to improve our public administration. If we refer to change management the first element we cross through is the concept of a new system, regulation, structure ect. While introducing the change, we have to take care not only to the context, to the typology of the process, its factors and actors. The most important is considering the successful results in the mean of facing and applying it. But how can we define this success in the terms of public administration? Which can be some measurements to use in order to evaluate the performance of change management? How is performance management linked to an effective, efficient or a viable change management? I will try to answer to these concerns, through explaining further the general key indicators of determining performance in public administration in order to lead a successful process of managing the change

    Transnational Key Performance Indicators (KPIs) for Sustainable Development

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    Nel prossimo futuro le città saranno caratterizzate da un alto tasso di popolazione; a questo sono associati una serie di questioni legate all’utilizzo di risorse ed energia e conseguente produzione di rifiuti, inquinamento (le città sono responsabili dell’emissione del 75% di emissioni di CO2) e consumo di suolo. In riferimento a quest’ultima questione, le aree e gli spazi verdi si riducono notevolmente, creandosi, in questo modo, uno squilibrio tra ambiente naturale e ambiente urbano. Oggi è necessario pensare una città in cui le aree verdi siano valorizzate in modo tale che alcuni miglioramenti (quali mitigazione del clima, impatto emissioni climalteranti, mitigazione isole di calore, barriera al rumore, deflusso acque piovane e qualità della vita percepita) possano automaticamente generarsi. Per tale motivo, nell’attuale contesto, è importante mettere in pratica delle politiche volte al miglioramento ambientale confrontando i casi considerati con alcuni valori di benchmark che possano dare un’idea sull’attuale livello di qualità di sviluppo urbano e conseguente benessere percepito dalla popolazione. Lo scopo della ricerca è la definizione di un numero preciso di indicatori transnazionali in grado di descrivere la qualità dello sviluppo sostenibile; successivamente sarà possibile la loro implementazione in un modello di supporto decisionale per favorire lo sviluppo del verde urbano. La valutazione andrà svolta a livello di distretto o di città e sarà interessante confrontare la performance ottenuta da diversi casi (situati in diversi contesti) al fine di promuovere politiche di intervento e migliori pratiche per raggiungere la sostenibilità dell’ambiente urbano. Come accennato, la performance potrà essere calcolata attraverso la definizione e l’associazione di un punteggio di alcuni indicatori riassumibili sotto tre questioni: economiche, ambientali e sociali. Per ciascuna di queste, saranno indagate alcune aspetti; per le questioni economiche, ad esempio, i costi di investimento e i costi di ciclo vita; per le questioni ambientali, ad esempio, la biodiversità, l’energia, gli impatti, l’uso del terreno, di materiali e di acqua; per le questioni sociali, per esempio, l’accessibilità, il comfort acustico, termico e visivo e la qualità dell’aria. Sarà inoltre importante stabilire delle connessioni ed influenze fra le diverse questioni e nello specifico fra i diversi indicatori appartenenti alle diverse categorie. Il presente studio fa parte del progetto Interreg Mediterranean CESBA MED

    Chaotic assessment of the key performance indicators for a GSM Network congestion in an election period in Nigeria

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    This paper investigates the chaos-based assessment of the Key performance Indicators (KPIs) for the Cellular network congestion during and after 2011 People Democratic Party (PDP) presidential primary election in Eagle Square within Abuja and its environs. Chaotic quantifiers such as average mutual information, Lyapunov exponents and specific attenuation were employed to study the congestion rate or dynamical state of the network. The chaotic assessment of the Wideband Code Division Multiplexing Access (WCDMA) data services provided by MTN network using KPIs are reported. The data retrieved from the three Base Transceiver Stations (BTSs) were used to analyse the performance of the network. The results revealed the state of dynamical behaviour of the congestion during the study period. Keywords: Key performance Indicators (KPIs); Wideband Code Division Multiplexing Access (WCDMA); Global System of Mobile communication (GSM); Base Transceiver Station (BTS); Chaotic Quantifier

    BENCHMARKING THE PERFORMANCE OF MALAYSIA’S CONSTRUCTION INDUSTRY

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    Malaysia’s construction industry particularly the provision of public infrastructure projects faces various debatable issues of the government’s belt-tightening budget, abandoned public projects, shoddy workmanship, over-budgeted project procurement and unresolved debts in public project provision. The current global economic downturns as well as the fluctuation in the oil prices worldwide have exacerbated the situation. Thus, in materialising the efficiency, accountability for performance, productivity and monetary policy set in confronting those controversial issues, several actions have been undertaken by Malaysian government including strengthening approval procedures, restructuring the implementation process, enhancing viability through risk distribution, reinforcing the institutional and regulatory framework as well as increasing Bumiputera participation in public infrastructure projects. Yet, these endeavours seem not to be the best solution in tackling those problems. Hence, there is a need of benchmarking the performance of Malaysia’s construction industry especially the provision of public infrastructure projects by clearly stipulating the standard regular evaluation and audition through a performance measurement technique known as Key Performance Indicators (KPIs). This paper provides a literature review of the philosophical, conceptual and functions of KPIs in improvising Malaysia’s construction industry performance. The literature will guide the development of KPIs for the assessment of public infrastructure project provision in Malaysia which forms the major part of the research undertaken.Benchmark, Key Performance Indicators (KPIs), Public Infrastructure Provision, Malaysia

    Feasibility Study of Enabling V2X Communications by LTE-Uu Radio Interface

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    Compared with the legacy wireless networks, the next generation of wireless network targets at different services with divergent QoS requirements, ranging from bandwidth consuming video service to moderate and low date rate machine type services, and supporting as well as strict latency requirements. One emerging new service is to exploit wireless network to improve the efficiency of vehicular traffic and public safety. However, the stringent packet end-to-end (E2E) latency and ultra-low transmission failure rates pose challenging requirements on the legacy networks. In other words, the next generation wireless network needs to support ultra-reliable low latency communications (URLLC) involving new key performance indicators (KPIs) rather than the conventional metric, such as cell throughput in the legacy systems. In this paper, a feasibility study on applying today's LTE network infrastructure and LTE-Uu air interface to provide the URLLC type of services is performed, where the communication takes place between two traffic participants (e.g., vehicle-to-vehicle and vehicle-to-pedestrian). To carry out this study, an evaluation methodology of the cellular vehicle-to-anything (V2X) communication is proposed, where packet E2E latency and successful transmission rate are considered as the key performance indicators (KPIs). Then, we describe the simulation assumptions for the evaluation. Based on them, simulation results are depicted that demonstrate the performance of the LTE network in fulfilling new URLLC requirements. Moreover, sensitivity analysis is also conducted regarding how to further improve system performance, in order to enable new emerging URLLC services.Comment: Accepted by IEEE/CIC ICCC 201

    Key performance indicators for improving a CRM implementation

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    This document analyses the main pros and cons factors in the implementation and configuration of instances of a Customer Relationship Management tool (CRM) in a company, with the purpose of understanding if the establishment of key performance indicators (KPIs) could help achieving a higher success rate in its implantation on a new business.info:eu-repo/semantics/acceptedVersio
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