Data Mining Techniques with Electronic Customer Relationship Management for Telecommunication Company
Keywords:
Data Mining, E-CRM, Employee, A Telecommunication Company.
Abstract
Organizations must improve decisional quality, and the continuous usage of data mining techniques is a crucial issue for management. This issue mostly involves an individual's motivation to engage in the behavior. This could perhaps be characterized in terms of the working regimen. technology utilization and employee activity are the two main difficulties that this dilemma revolves around. This study aims to address the aspect associated with data mining and E-CRM in the telecom industry. The methods that are used in the current study, analysis studies of the data mining techniques are applied to E-CRM that has been identified. Moreover, PHP with the update of the DeLone and McLean methods has been used in the current study. The results show the significance in affecting the continuance used intention of data mining techniques. User satisfaction, technology, and data mining are critical predictors of employment intentions.
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References
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Hair, J. F. et al. (2017) A primer on partial least squares structural equation modeling (PLS- SEM). Springer International Publishing. Handbook of Market Research, 1-40 pp, https://doi.org/10.1007/978-3-319-05542-8_15-1
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Published
2021-12-30
How to Cite
Anaam, E. A., Yousef Magableh, M. N., Hamdi, M., Rashid Hmoud, A. Y., & Alshalabi, H. (2021). Data Mining Techniques with Electronic Customer Relationship Management for Telecommunication Company. Amazonia Investiga, 10(48), 288-304. https://doi.org/10.34069/AI/2021.48.12.30
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