Raquel Florez-Lopez

Prof. Dr. Raquel Florez-Lopez

Department of Accounting and Finance, Universidad Pablo de Olavide, Sevilla, Spain
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Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2007 in Information Sciences
Verified
Journal Article
Closed access
RFRaquel Florez-Lopez
Raquel Florez-Lopez

12 June 2019 in Sustainability
Verified
Journal Article
Open access
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Juan Manuel Ramon-JeronimoJuan Manuel Ramon-Jeronimo
Juan Manuel Ramon-Jeronimo
RFRaquel Florez-Lopez
Raquel Florez-Lopez
PAPedro Araujo-Pinzon
Pedro Araujo-Pinzon
Following the resource-based view, this research empirically explores the role of formal and informal management control in mobilizing export resources to develop export capabilities, influencing the export performance of small and medium-sized enterprises (SMEs) in an interorganizational relationship context. Empirical data were collected using a survey administrated online to finance managers in Spanish SMEs which use foreign intermediaries to access export markets. In this setting, evidence mainly suggests, first, that management control systems (MCSs) play a relevant mediating role between the effect of, on the one hand, resources on capabilities, and, on the other hand, resources and capabilities on performance. Second, that MCSs and capabilities play a interrelated double mediating effect between the impact of resources on performance; more specifically, a significant double indirect effect is found (1) between financial resources, behavior control, customer relationship building capability and performance, and (2) between physical resources, behavior control, customer relationship building capability and performance.

1 October 2012 in Information Sciences
Verified
Journal Article
Closed access
RFRaquel Florez-Lopez
Raquel Florez-Lopez
Juan Manuel Ramon-JeronimoJuan Manuel Ramon-Jeronimo
Juan Manuel Ramon-Jeronimo

1 December 2007 in European Journal of Operational Research
Verified
Journal Article
Closed access
RFRaquel Florez-Lopez
Raquel Florez-Lopez

7 April 2008 in Social Science Computer Review
Verified
Journal Article
Closed access
RFRaquel Florez-Lopez
Raquel Florez-Lopez
Juan Manuel Ramon-JeronimoJuan Manuel Ramon-Jeronimo
Juan Manuel Ramon-Jeronimo
Customer relationship management (CRM) aims to build relations with the most profitable clients by performing customer segmentation and designing appropriate marketing tools. In addition, customer profitability accounting (CPA) recommends evaluating the CRM program through the combination of partial measures in a global cost—benefit function. Several statistical techniques have been applied for market segmentations although the existence of large data sets reduces their effectiveness. As an alternative, decision trees are machine learning models that do not consider a priori hypotheses, achieve a high performance, and generate logical rules clearly understood by managers. In this article, a three-stage methodology is proposed that combines marketing feature selection, customer segmentation through univariate and oblique decision trees, and a new CPA function based on marketing, data warehousing, and opportunity costs linked to the analysis of different scenarios. This proposal is applied to a large insurance marketing data set for alternative cost and price conditions showing the superiority of univariate decision trees over statistical techniques.