Search results for "performance indicator"
showing 10 items of 126 documents
Framing the Sources of Image of a Local Area through Outcome-Based Dynamic Performance Management
2018
This article investigates the place image concept. It aims to frame major factors impacting on the image of a local area and to suggest associated measures. The adoption of a dynamic approach enables the exploration of four major factors: the level of tourism development, the fit of contextual attributes, the strength of identity, and the level of synergy between public and private sectors. The emerging conceptual model identifies twelve performance indicators driving interdependencies between outputs and outcomes. Such a model eventually is applied to the “Taormina-Etna district” – located in Sicily (Italy) – with the intent to discussing its effectiveness.
Business Model Choice for Latvian Public Employment Service: What is the Best for Labour Force Competitiveness?
2015
AbstractThis study presents a comprehensive analysis of advantages and disadvantages of different business models for public employment services (hereafter - PES) aiming to determine the model most suitable for the Latvian labour markets.The study identifies strengths and weaknesses of performance monitoring systems applied by Latvian, Estonian and Danish PES, especially in the area of the implementation of active labour market policies and suggests a set of indicators which may be used for evaluation of PES influence on the performance of the labour market in light of the EU growth strategy “Europe 2020”.The study starts with a review of the theoretical and empirical literature on the impa…
Effect of Software on CSP Performance
2009
In order to verify how (if at all) CSP's investments in software affect their business performance, the relationship between (i) CSP's spending on software and (ii) its key performance indicators (KPIs) is considered below. The investments in software are represented by internal, external, and total software spending a year or two years prior to the KPI values, while the KPIs include average revenue per user (ARPU), revenue, net income, EBIDTA, and change in revenue (as an indicator of company growth). Besides, Opex and Capex along with R&D expenses are used as control variables. We use the data collected for the years 2004–2007 (revenue, net income, EBITDA, market capitalization, R&D, CAPE…
A SYNTHETIC MEASURE FOR THE ASSESSMENT OF THE PROJECT PERFORMANCE
2009
The present paper aims to offer a synthetic project performance indicator (PPI) that aggregates two input parameters obtained by the Earned Value Analysis. The PPI is calculated by using a Fuzzy Inference System (FIS) able to single out a measure based on the input parameters, instead of formulating a mathematical model that could be a troublesome task whenever complex relations among the input variables exist. The purpose is to communicate the project performance to the stakeholders in a clear and complete way, for example, describing the PPI by means of contour lines.
Minimizing membrane bioreactor environmental footprint by multiple objective optimization.
2020
This paper presents a modelling study aimed at minimizing the environmental foot print of a membrane bioreactor (MBR) for wastewater treatment. Specifically, an integrated model for MBR was employed in view of the management optimization of an MBR biological nutrient removal (BNR) pilot plant in terms of operational costs and direct greenhouse gases emissions. The influence of the operational parameters (OPs) on performance indicators (PIs) was investigated by adopting the Extended-FAST sensitivity analysis method. Further, a multi-objective analysis was performed by applying the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results show-up that the sludge …
Empirical Orthogonal Function and Functional Data Analysis Procedures to Impute Long Gaps in Environmental Data
2016
Air pollution data sets are usually spatio-temporal multivariate data related to time series of different pollutants recorded by a monitoring network. To improve the estimate of functional data when missing values, and mainly long gaps, are present in the original data set, some procedures are here proposed considering jointly Functional Data Analysis and Empirical Orthogonal Function approaches. In order to compare and validate the proposed procedures, a simulation plan is carried out and some performance indicators are computed. The obtained results show that one of the proposed procedures works better than the others, providing a better reconstruction especially in presence of long gaps.
Multivariate Exploratory Comparative Analysis of LaLiga Teams: Principal Component Analysis
2021
The use of principal component analysis (PCA) provides information about the main characteristics of teams, based on a set of indicators, instead of displaying individualized information for each of these indicators. In this work we have considered reducing an extensive data matrix to improve interpretation, using PCA. Subsequently, with new components and with multiple linear regression, we have carried out a comparative analysis between the best and bottom teams of LaLiga. The sample consisted of the matches corresponding to the 2015/16, 2016/17 and 2017/18 seasons. The results showed that the best teams were characterized and differentiated from bottom teams in the realization of a great…
How to Sell SaaS: A Model for Main Factors of Marketing and Selling Software-as-a-Service
2011
Software-as-a-Service providers have been growing fast while the contemporary research literature has neglected analysis of their business-critical marketing and sales processes. In this paper we collect the key factors characterizing how to market and sell SaaS to business customers into an eight dimensional model. We also use an explorative multi-case study to observe six SaaS providers and validate the model. The interviewed providers emphasized use of the Internet for marketing communication while personal direct sale was the dominating sales approach. Customer acquisition cost was the key performance indicator for marketing and sales while customer lifetime value and churn were the KPI…
An academic performance indicator using flexible multi-criteria methods
2021
Composite indicators are a very useful tool for conveying summary information on the overall performance of institutions and facilitating decision-making. Increasingly, there is a demand for indicators that allow performance to be assessed after the implementation of a strategy. This has several difficulties, and in this paper, we address three of them: how to evaluate at different points in time, how to estimate the weighting of the criteria and how to normalize the data. Our proposal is based on multicriteria techniques, using a recent method, uwTOPSIS, and is applied to data collected from 2975 students enrolled in the first year of science and engineering at the Industrial University of…
A methodology for the semi-automatic generation of analytical models in manufacturing
2018
International audience; Advanced analytics can enable manufacturing engineers to improve product quality and achieve equipment and resource efficiency gains using large amounts of data collected during manufacturing. Manufacturing engineers, however, often lack the expertise to apply advanced analytics, relying instead on frequent consultations with data scientists. Furthermore, collaborations between manufacturing engineers and data scientists have resulted in highly specialized applications that are not relevant to broader use cases. The manufacturing industry can benefit from the techniques applied in these collaborations if they can be generalized for a wide range of manufacturing probl…