Economics & Sociology
ISSN: 2071-789X eISSN: 2306-3459 DOI: 10.14254/2071-789XIndex PUBMS: f5512f57-a601-11e7-8f0e-080027f4daa0
Article information
| Title: | Multistage performance modelling in digital marketing management |
| Issue: |
Vol. 9, No 2, 2016
Published date: 06-2016 (print) / 06-2016 (online) |
| Journal: |
Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459 |
| Authors: |
Jarosław Wątróbski
Jarosław Jankowski Paweł Ziemba |
| Keywords: | TOPSIS, Dynamic MCDA, online environment |
| DOI: | 10.14254/2071-789X.2016/9-2/7 |
| Index PUBMS: | e364b022-027f-11e8-94c4-fa163e5d4f72 |
| Language: | English |
| Pages: | 101-125 (25) |
| JEL classification: | C44 |
| Website: | http://www.economics-sociology.eu/?404,en_multistage-performance-modelling-in-digital-marketing-management |
Abstract
Effective online marketing management requires developing new research methods supporting campaign performance evaluation. The paper presents a multistage approach with performance modelling based on Dynamic Multi Criteria Decision Analysis. The crisp and fuzzy versions of the TOPSIS method were used in the process of dynamic modelling. The evaluation was performed in terms of marketing management, taking into account several conflicting criteria (user experience and intensity of advertising content). Real data from advertising servers were used during the evaluation and example decision processes were performed.