Data-Driven Synergy: Investigating e-CRM's Mediation in Building Intelligent Organizations

Authors

DOI:

https://doi.org/10.54489/ijcim.v5i1.526

Keywords:

Big Data, Intelligent Organization, e-Customer Relation Manager (e-CRM)

Abstract

This research explores the effects of Big Data systems on the development of intelligent organizations, particularly the mediating role played by electronic customer relationship management (e-CRM). Mixed-method research design was employed in which the research combined information from the literature with primary data collected using a self-administered questionnaire sent out to a total of 250 respondents. Data analysis was performed by SPSS v.20 and the strength of the associations between the study variables was determined using the Pearson correlation coefficient. The findings showed that Big Data has a significant effect on the development of intelligent organizations while such relation is also reinforced by the mediation role of e-CRM. These results point to the strategic need to use Big Data and e-CRM systems to increase the organizational intelligence, customer value creation, and competitive advantage in the data-driven business environment of today.

References

Ahmed, B. S., Al-Sarem, M., & Maati, M. L. B. (2021). Developed E-CRM Intelligence in Technological Trends. In Encyclopedia of Organizational Knowledge, Administration, and Technology (pp. 2095-2104). IGI Global.

Ahmed, B. S., Amroush, F., & Maati, M. B. (2019). The intelligence of E-CRM applications and approaches to the online shopping industry. In Advanced Methodologies and Technologies in Digital Marketing and Entrepreneurship (pp. 70-82). IGI Global.

Azungah, T. (2018). Qualitative research: deductive and inductive approaches to data analysis. Qualitative research journal.

Baskarada, S., & Koronios, A. (2018). A philosophical discussion of qualitative, quantitative, and mixed methods research in social science. Qualitative Research Journal.

Bucur, C. (2015). Using big data for intelligent businesses. In Proceedings of the Scientific Conference AFASES (Vol. 2, pp. 605-612).

Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165-1188.

Daif, A., Eljamiy, F., Azzouazi, M., & Marzak, A. (2015). Review current CRM architectures and introduce new adapted architectures to Big Data. In 2015 International Conference on Computing, Communication, and Security (ICCCS) (pp. 1-7). IEEE.

Dannels, S. A. (2018). Research design. In The reviewer’s guide to quantitative methods in the social sciences (pp. 402-416). Routledge.

Del Giorgio, F. (2017). Public Benchmarking: Contributions for Subnational Governments and Benchmarking Design. SSRN. https://dx.doi.org/10.2139/ssrn.5214769

Domagala, P. (2019). Internet of Things and Big Data technologies as an opportunity for organizations based on Knowledge Management. In 2019 IEEE 10th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) (pp. 199-203). IEEE.

Grover, V., & Kohli, R. (2018). Cocreating IT value: New capabilities and metrics for multifirm environments. MIS Quarterly, 42(4), 1207–1224.

Gupta, S., Leszkiewicz, A., Kumar, V., & Rishika, R. (2020). Does Social Media Create Customer Intimacy? The Role of Content Marketing. Journal of Interactive Marketing, 51, 1–18.

Hennink, M., & Kaiser, B. N. (2021). Sample sizes for saturation in qualitative research: A systematic review of empirical tests. Social Science & Medicine, 114523.

Liu, C. H. (2015). A conceptual framework of analytical CRM in the Big Data age. International Journal of Advanced Computer Science & Applications, 1(6), 149-152.

Liu, H., Ke, W., Wei, K. K., & Hua, Z. (2014). The impact of IT capabilities on firm performance: the mediating roles of absorptive capacity and supply chain agility. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.2444360

Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103169. https://doi.org/10.1016/j.im.2019.05.004

Nurjannah, N., Erwina, E., Basalamah, J., & Syahnur, M. H. (2022). The Impact of E-CRM and Customer Experience on E-Commerce Consumer Loyalty Through Satisfaction in Indonesia. MIX: Jurnal Ilmiah Manajemen, 12(1), 56-69.

Plank, R. E., Reid, D. A., Koppitsch, S. E., & Meyer, J. (2018). The sales manager as a unit of analysis: a review and directions for future research. Journal of Personal Selling & Sales Management, 38(1), 78-91.

Shahbaz, M., Gao, C., Zhai, L., Shahzad, F., Abbas, A., & Zahid, R. (2020). Investigating the impact of big data analytics on perceived sales performance: the mediating role of customer relationship management capabilities. Complexity, 2020.

Taguchi, N. (2018). Description and explanation of pragmatic development: Quantitative, qualitative, and mixed methods research system, 75, 23-32.

Trainor, K. J., Rapp, A., Beitelspacher, L. S., & Schillewaert, N. (2011). Integrating Information Technology and Marketing: An Examination of the Drivers and Outcomes of e-Marketing Capability. Industrial Marketing Management, 40(1), 162–174. https://doi.org/10.1016/j.indmarman.2010.05.001

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356–365. https://doi.org/10.1016/j.jbusres.2016.08.009

Xu, Z., Frankwick, G. L., & Ramirez, E. (2018). Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2015.10.017

Downloads

Published

2025-06-25

How to Cite

Data-Driven Synergy: Investigating e-CRM’s Mediation in Building Intelligent Organizations. (2025). International Journal of Computations, Information and Manufacturing (IJCIM), 5(1), 11-20. https://doi.org/10.54489/ijcim.v5i1.526

Similar Articles

1-10 of 37

You may also start an advanced similarity search for this article.