TY - GEN
T1 - Econometric modeling and analysis of technical efficiency of marketing productivity. An application to the U.S. Retail sector using stochastic frontier models
AU - De La Fuente, H.
PY - 2014
Y1 - 2014
N2 - The research developed in previous project has allowed the elaboration a generic model for measuring marketing productivity, which aims to serve as a basis for obtaining measurements of productivity in companies of services sector. Furthermore, it has been possible to determine what inputs / outputs and functional forms that determine and influence that productivity and technical efficiency of the organizations are. This has been measured by econometric models and stochastic frontier. This paper applies the Theoretical Model of Marketing Productivity (TMMP), developed in earlier research, in the case of U.S. retail sector. The results shows that variables, market-based assets and investments in marketing, affect negatively to marketing productivity and financial performance, respectively, while variable, marketing resources, affect positively to financial performance and marketing productivity. Moreover, it validates the relationship between financial performance and marketing productivity, further demonstrating that the companies in the sample show a decreasing efficiency in the study period.
AB - The research developed in previous project has allowed the elaboration a generic model for measuring marketing productivity, which aims to serve as a basis for obtaining measurements of productivity in companies of services sector. Furthermore, it has been possible to determine what inputs / outputs and functional forms that determine and influence that productivity and technical efficiency of the organizations are. This has been measured by econometric models and stochastic frontier. This paper applies the Theoretical Model of Marketing Productivity (TMMP), developed in earlier research, in the case of U.S. retail sector. The results shows that variables, market-based assets and investments in marketing, affect negatively to marketing productivity and financial performance, respectively, while variable, marketing resources, affect positively to financial performance and marketing productivity. Moreover, it validates the relationship between financial performance and marketing productivity, further demonstrating that the companies in the sample show a decreasing efficiency in the study period.
KW - Econometric modeling
KW - Marketing productivity
KW - Stochastic frontier models
UR - http://www.scopus.com/inward/record.url?scp=84911895467&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84911895467
T3 - OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedings
SP - 2334
EP - 2347
BT - OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedings
A2 - Lagaros, N. D.
A2 - Karlaftis, Matthew G.
A2 - Papadrakakis, M.
PB - National Technical University of Athens
T2 - 1st International Conference on Engineering and Applied Sciences Optimization, OPT-i 2014
Y2 - 4 June 2014 through 6 June 2014
ER -