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1. Verfasser: Armando Luís Vieira
Format: Artículo científico
Sprache:en
Veröffentlicht: Universidad Nacional de Colombia 2014
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Online-Zugang:https://www.redalyc.org/articulo.oa?id=81831420006
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author Armando Luís Vieira
author_facet Armando Luís Vieira
contents Exploring Data Collection Innovations by Examining the Effects of Relationship Marketing on Performance in Times of Crisis Armando Luís Vieira Administración y Contabilidad Innovation Data collection Relationship marketing Seller objective performance Structural Equation Modelling The scientific quality, rigour, and impact of a considerable number, if not the vast majority, of marketing studies depend on an effective data collection process. Most of the researchers in these and related areas rely on traditional data collection tools, such as face-to-face, pen-andpaper, or online questionnaires, which are not very effective, both in terms of the time and money required to gather a reasonable number of observations. Bearing in mind that crises should also be an opportunity for researchers and institutions to develop more productive and effective research tools and procedures, the aim of this research is twofold: 1) to test a model that relates relationship marketing (RM) efforts with performance; and 2) to explore innovative, more effective, data collection tools to be employed in a marketing research context. To this end, this study proposes and tests a model of the effects of RM antecedents and mediators on objective performance. The empirical work draws on the perceptions of 4,389 firm representatives in terms of their relationships with their counterparts in hotels, collected by using AppGeneration Npolls . Structural equation modelling results suggest that commitment is the strongest determinant of share of business, and fully mediates the impact of relationship quality (with satisfaction and trust as first-order dimensions) on objective performance. From an innovative, methodological perspective, this study demonstrates that it is possible to collect a significantly high number of observations in a very short period of time, with considerable advantages when compared to traditional data collection procedures. 2014 artículo científico 0121-5051 https://www.redalyc.org/articulo.oa?id=81831420006 en http://www.redalyc.org/revista.oa?id=818 INNOVAR. Revista de Ciencias Administrativas y Sociales application/pdf Universidad Nacional de Colombia INNOVAR. Revista de Ciencias Administrativas y Sociales (Colombia) Num.53 Vol.24
format Artículo científico
id redalyc_81831420006
language en
publishDate 2014
publisher Universidad Nacional de Colombia
spellingShingle Exploring Data Collection Innovations by Examining the Effects of Relationship Marketing on Performance in Times of Crisis
Armando Luís Vieira
Administración y Contabilidad
Innovation
Data collection
Relationship marketing
Seller objective performance
Structural Equation Modelling
Exploring Data Collection Innovations by Examining the Effects of Relationship Marketing on Performance in Times of Crisis Armando Luís Vieira Administración y Contabilidad Innovation Data collection Relationship marketing Seller objective performance Structural Equation Modelling The scientific quality, rigour, and impact of a considerable number, if not the vast majority, of marketing studies depend on an effective data collection process. Most of the researchers in these and related areas rely on traditional data collection tools, such as face-to-face, pen-andpaper, or online questionnaires, which are not very effective, both in terms of the time and money required to gather a reasonable number of observations. Bearing in mind that crises should also be an opportunity for researchers and institutions to develop more productive and effective research tools and procedures, the aim of this research is twofold: 1) to test a model that relates relationship marketing (RM) efforts with performance; and 2) to explore innovative, more effective, data collection tools to be employed in a marketing research context. To this end, this study proposes and tests a model of the effects of RM antecedents and mediators on objective performance. The empirical work draws on the perceptions of 4,389 firm representatives in terms of their relationships with their counterparts in hotels, collected by using AppGeneration Npolls . Structural equation modelling results suggest that commitment is the strongest determinant of share of business, and fully mediates the impact of relationship quality (with satisfaction and trust as first-order dimensions) on objective performance. From an innovative, methodological perspective, this study demonstrates that it is possible to collect a significantly high number of observations in a very short period of time, with considerable advantages when compared to traditional data collection procedures. 2014 artículo científico 0121-5051 https://www.redalyc.org/articulo.oa?id=81831420006 en http://www.redalyc.org/revista.oa?id=818 INNOVAR. Revista de Ciencias Administrativas y Sociales application/pdf Universidad Nacional de Colombia INNOVAR. Revista de Ciencias Administrativas y Sociales (Colombia) Num.53 Vol.24
title Exploring Data Collection Innovations by Examining the Effects of Relationship Marketing on Performance in Times of Crisis
topic Administración y Contabilidad
Innovation
Data collection
Relationship marketing
Seller objective performance
Structural Equation Modelling
url https://www.redalyc.org/articulo.oa?id=81831420006