Data quality in customer relationship management (CRM): Literature review

Author:

Petrović Marijana

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Reference27 articles.

1. Abedjan, Z., Chu, X, Deng, D, Fernandez, R.C., Ilyas, I. F., Ouzzani, M., Papotti, P., Stonebraker, M., & Tang, N. (2016). Detecting Data Errors: Where are we and what needs to be done? Proceedings of the VLDB Endowment, 9 (12), 993-1004. https://doi.org/10.14778/2994509.2994518;

2. Adamik, A., Nowicki, M., & Szymanska, K. (2018). Openness to co-creation as a method of reducing the complexity of the environment and dynamizing companies' competitive advantages, Management & Marketing -Challenges for the Knowledge Society, 13(2), 880-896;

3. Ahmed, B., Amroush, F., & Ben Maati, M. L. (2016). The implementation Trends of Intelligence E-CRM in Business process, 2016 4th IEEE International Colloquium on Information Science and Technology (CiSt). https://doi.org/10.1109/CIST.2016.7805080;

4. Alshawi, S., Missi, F., & Irani, Z. (2011). Organisational, technical and data quality factors in CRM adoption - SMEs perspective, Industrial Marketing Management, 40, 376-383. https://doi.org/10.1016/j.indmarman.2010.08.006;

5. Armeanu, D., Andrei, J., V., Lache, L., & Panait, M. (2017). A multifactor approach to forecasting Romanian gross domestic product (GDP) in the short run, PloS ONE 12 (7), 1-23. https://doi.org/10.1371/journal.pone.0181379;

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