Teaching Marketing Research at the University Level—From Academic and Professional Perspectives

Author:

de la Ballina JavierORCID,Cachero SilviaORCID

Abstract

The evolution of marketing research (MR) has run parallel to marketing; however, nowadays, statistical techniques and data technologies are gaining more importance. The need for alignment regarding MR training between professors, students, and professionals is becoming increasingly urgent. This work continues on a double survey administered to professors and MR professionals in Spain to determine their proposals for adapting MR courses’ format and content to the companies’ current information needs. The results show that not only do professionals lead in terms of wanting changes to training, but also that these professionals are by no means extreme in their demands regarding university professors. The findings also show that, although there are significant differences in priorities at both the statistical and technical levels, the solution may be to combine and slightly adjust the current mandatory MR courses in business administration degrees. In addition, an elective course that develops training in new data and intelligent technologies for MR should be implemented.

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference34 articles.

1. Statistics in marketing research: A brief review on unique methods and applications;Lipovetsky;Model Assist. Stat. Appl.,2022

2. Big data, marketing analytics, and firm marketing capabilities;Cao;J. Comput. Inf. Syst.,2022

3. Marketing research on Mobile apps: Past, present and future;Stocchi;J. Acad. Mark. Sci.,2021

4. Can neuromarketing add value to traditional marketing research? An exemplary experiment with functional near-infrared spectroscopy (fNIRS);Meyerding;J. Bus. Res.,2020

5. Consumer privacy and the future of databased innovation and marketing;Bleier;Int. J. Res. Mark.,2020

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