Search results for "regression"
showing 10 items of 2619 documents
Au38Q MBTR-K3
2020
Purpose The purpose of Au38Q MBTR-K3 is to test the scalability of a machine learning regression model when the number of observations and the number of features change. Background The Au38Q MBTR-K3 was created from a trajectory file regarding the density functional theory simulation of Au38Q hybrid nanoparticle performed by Juarez-Mosqueda et al. in their paper Ab initio molecular dynamics studies of Au38(SR)24 isomers under heating using the MBTR descriptor by Himanen et al. as presented in paper DScribe: Library of descriptors for machine learning in materials science. The MBTR was used with the default parameters for K=3 (angles between atoms) presented at the website of Dscribe vers…
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…
Impact of care responsibilities on women’s employment: a comparison between European and East Asian welfare states
2017
ABSTRACTWomen with care responsibilities tend to reduce their labour market activity and to work part time, even if there are cross-national differences. Empirical research often analyses this separately for childcare and elderly care, and studies are usually limited to Western societies. This article aims to explore to what extent women’s care responsibilities for children and older people impact on women’s labour market integration and how this impact differs in the context of different welfare states in Europe and Asia. The analysis is based on data from a new comparative survey for four cities (Jyvaskyla, Hamburg, Bologna and Hsinchu) in four countries (Finland, Germany, Italy and Taiwa…
Corporate governance and financial performance: The role of ownership and board structure
2018
Abstract This study examines how corporate governance and ownership structure relate to the financial performance of firms. We estimated this relationship using fsQCA. We enhanced our analysis using complementary linear and non-linear multiple regression analysis. The panel data used in this study covered 1207 companies from 59 countries across 19 sectors for the period 2013 to 2015. The study makes two main contributions. First, the multiple empirical techniques employed in this study offer a broader approach to the empirical analysis of financial performance. Second, the study aids our understanding of the role of corporate governance and ownership in the financial performance of firms.
Influence of Advertising on Brand Personality in The Airline Sector: The Case of Spain
2013
This article outlines the findings of a study employing a partial least squares (PLS) structural equation methodology to explore the relationship among advertising and brand personality (BP) dimension of a validated Aaker's model (1997) in the airline business. BP refers to the emotional side of brand image. It is created by all experiences of consumers with a brand. The model was validated using confirmatory factor analysis and the effect of advertising on BP has been tested using PLS. The findings suggest that advertising influences the formation of BP only in the sophistication dimension. These results invite managers in the airline companies sector to develop communication strategies to…
The beer market and advertising expenditure
2009
PurposeThe purpose of this paper is to examine the impacts of advertising expenditure on brands' market shares, utilizing a novel four‐week advertising‐sales data from the highly competitive oligopolistic Finnish beer market in which price competition among the homogeneous larger‐type beer brands is not allowed during the period of the study.Design/methodology/approachCompetition is modelled using the Lanchester model. The impacts of advertising on market shares are estimated using the impulse‐response functions from vector autoregression, and the full information maximum likelihood and advertising elasticities.FindingsSome new insights into beer market dynamics are obtained. First, the imp…
ANÁLISIS DEL COMPORTAMIENTO DE QUEJA DEL CONSUMIDOR: UNA INVESTIGACIÓN EXPLORATORIA EN EL CONTEXTO DE LOS RESTAURANTES /
2008
RESUMENEl objetivo de este trabajo es analizar la contribución que tiene una serie de determinantes en el comportamiento de queja con el fin de identificar la combinación que mejor explica las respuestas de queja, a terceras partes y privadas. Utilizando el contexto de los restaurantes y la metodología basada en modelos de regresión múltiple (método secuencial de estimación paso a paso), los resultados más relevantes indican que la probabilidad de éxito de la queja es la variable que mayor influencia tiene sobre las respuestas de queja, mientras que es el nivel de insatisfacción en el caso de las respuestas privadas.ABSTRACTThe aim of this paper is to analyze the contribution that a set of …
Assessing the Impact of Temporary Retail Price Discounts Intervals Using SVM Semiparametric Regression
2009
Although the marketing literature has found that temporary retail price discounts cause a significant sales increase, little is known about the specific characteristics of deals that influence the magnitude of the sales spike. In this paper, we analyse the impact of the length of temporary retail price discounts periods on the sales increase using scanner-store daily-sales data for two frequently purchased product categories: ground coffee (a storable category) and yogurt (a perishable category).Wedevelop a robust semiparametric regression model based on support vector statistical theory with several previously proposed predictors along with a daily time description. This model also makes i…
Dynamics of price sensitivity among mobile service customers
2005
PurposePrice sensitivity is one of the key factors affecting to companies pricing choices. Yet in mobile services sector business practitioners are facing problems in pricing decisions as they are short of knowledge on their customers’ price sensitivity levels and dynamics. Therefore this study aims to focus on this unexplored field in order to provide more accurate tools for mobile service providers to price their services more effectively.Design/methodology/approachThis study is conducted on Finnish mobile services markets. The focus is on examining how customers’ price sensitivity differs between different customer segments and which factors affect to the price sensitivity levels. The sa…
A novel application of fuzzy-set qualitative comparative analysis to GEM data
2016
Abstract This study constitutes a novel application of fuzzy-set qualitative comparative analysis to Global Entrepreneurship Monitor (GEM) data. This study seeks to demonstrate that fsQCA enriches previous conclusions from linear regression analyses that state that a relationship exists between the GEM's Total Entrepreneurial Activity rate (TEA) and variables representing entrepreneurial attitudes and social values of adult populations toward entrepreneurship. FsQCA allows researchers to estimate which of these attitudes and social values are necessary, sufficient, or both for full membership in the set of most entrepreneurial active countries within the set of GEM innovation-driven countri…