Enhancing Customer Relationship Management with Data Analytics: Insights from Retail Survey

Main Article Content

Roula Jabado https://orcid.org/0000-0002-3229-8097
Rim Jallouli https://orcid.org/0000-0002-2179-3316

Keywords

Data analytics capabilities, customer relationship management, customer satisfaction, system quality, employee interaction-management capabilities

Abstract

In the contemporary digital era, understanding the role of Data Analytics Capabilities (DAC) in Customer Relationship Management (CRM) systems is essential for effective marketing decisions. DAC refers to the skills and knowledge in using technological tools, techniques, and methodologies to extract meaningful and actionable insights from various data sources. The originality of the study lies in providing an external perspective from customers on the benefits of effective DAC to improve the performance of CRM systems in the retail industry. Specifically, it evaluates the roles of technological CRM system quality, employee interaction-management capabilities empowered with the CRM system, and the DAC outcomes in enhancing the overall customer satisfaction for both online and in-store experiences. The methodology employs a quantitative approach that includes a survey for data collection of 380 retail customers, an exploratory factor analysis and a multi-linear regression analysis. Theoretically, findings advance our understanding of retail CRM systems by providing empirical evidence quantifying the positive impact of DAC outcomes on customer satisfaction. Practically, results offer managerial insights for leveraging technology and human capabilities to enhance in-store and online customer relationships. Acknowledging geographical and industry limitations, future research could explore the research model across various contexts.


 

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References

Akter, S., Wamba, S. F., & Dewan, S. (2017). Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality. Production Planning & Control, 28(11–12), 1011–1021. https://doi.org/10.1080/09537287.2016.1267411
Akter, S., Gunasekaran, A., Wamba, S. F., Babu, M. M., & Hani, U. (2020, October). Reshaping competitive advantages with analytics capabilities in service systems. Technological Forecasting and Social Change, 159, 12018. https://doi.org/1.1016/j.techfore.202.120180
Aljawarneh, N. M., Sokiyna, M., Obeidat, A. M., Alomari, K. A. K., Alradaideh, A. T., & Alomari, Z. S. (2020). The Role of CRM Fog Computing on Innovation and Customer Service Quality: an Empirical Study. Marketing and Management of Innovations, 2, 286–297. https://doi.org/10.21272/mmi.2020.2-21
AlNuaimi, B. K., Khan, M., & Ajmal, M. M. (2021, August). The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis. Technological Forecasting and Social Change, 169, 120808. https://doi.org/1.1016/j.techfore.2021.120808
AlQershi, N. A., Mokhtar, S. S. M., & Abas, Z. B. (2020, November 16). CRM dimensions and performance of SMEs in Yemen: the moderating role of human capital. Journal of Intellectual Capital, 23(3), 516–537. https://doi.org/1.1108/jic-05-2020-0175
Alshura, M. S., Zabadi, A., & Abughazaleh, M. (2018, June 15). Big data in marketing arena. big opportunity, big challenge, and research trends: An Integrated View. Management and Economics Review, 3(1), 75–84. https://doi.org/1.24818/mer/2018.06-06
Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An Integrated Theory of the Mind. Psychological Review, 111(4), 1036–106. https://doi.org/1.1037/0033-295x.111.4.1036
Barney, J. (1991, March). Special Theory Forum the Resource-Based Model of the Firm: Origins, Implications, and Prospects. Journal of Management, 17(1), 97–98. https://doi.org/1.1177/014920639101700107
Bijadeh, M., & Rostami, H. (2020, September 29). Investigating the Effect of Knowledge Management and Customer Satisfaction on Sustainability of Customer Relationship Management (CRM). Journal of Management and Accounting Studies, 7(04), 25–28. https://doi.org/1.24200/jmas.vol7iss04pp25-28
Bharadiya, J. P. (2023). The role of machine learning in transforming business intelligence. International Journal of Computing and Artificial Intelligence, 4(1), 16–24. https://doi.org/10.33545/27076571.2023.v4.i1a.60
Brown, G. T. L. (2006). Teachers’ Conceptions of Assessment: Validation of an Abridged Version. Psychological Reports, 99(1), 166–170. https://doi.org/10.2466/pr0.99.1.166-170
Chang, S. J., Koh, S. B., Kang, D., Kim, S. A., Kang, M. G., Lee, C. G., Chung, J. J., Cho, J. J., Son, M., Chae, C. H., Kim, J. W., Kim, J. I., Kim, H. S., Roh, S. C., Park, J. B., Woo, J. M., Kim, S. Y., Kim, J. Y., Ha, M., ….& Son, D. K. (2005). Developing an Occupational Stress Scale for Korean Employees. Korean Journal of Occupational and Environmental Medicine, 17(4), 297. https://doi.org/1.35371/kjoem.2005.17.4.297
Chatterjee, S., Chaudhuri, R., & Vrontis, D. (2022, November). AI and digitalization in relationship management: Impact of adopting AI-embedded CRM system. Journal of Business Research, 150, 437–45. https://doi.org/1.1016/j.jbusres.2022.06.033
Chen, X., You, X., & Chang, V. (2021, May). FinTech and commercial banks’ performance in China: A leap forward or survival of the fittest? Technological Forecasting and Social Change, 166, 120645. https://doi.org/1.1016/j.techfore.2021.120645
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum.
Dąbrowska, J., Almpanopoulou, A., Brem, A., Chesbrough, H., Cucino, V., Di Minin, A., Giones, F., Hakala, H., Marullo, C., Mention, A., Mortara, L., Nørskov, S., Nylund, P. A., Oddo, C. M., Radziwon, A., & Ritala, P. (2022, March 17). Digital transformation, for better or worse: a critical multi‐level research agenda. R&D Management, 52(5), 930–954. https://doi.org/10.1111/radm.12531
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
Farhan, M. S., Abed, A. H., & Ellatif, M. A. (2018, December). A systematic review for the determination and classification of the CRM critical success factors supporting their metrics. Future Computing and Informatics Journal, 3(2), 398–416. https://doi.org/1.1016/j.fcij.2018.11.003
Fernando, E., Sutomo, R., Prabowo, Y. D., Gatc, J., & Winanti, W. (2023, August 30). Exploring Customer Relationship Management: Trends, Challenges, and Innovations. Journal of Information Systems and Informatics, 5(3), 984–1001. https://doi.org/1.51519/journalisi.v5i3.541
Foltean, F. S., Trif, S. M., & Tuleu, D. L. (2019, November). Customer relationship management capabilities and social media technology use: Consequences on firm performance. Journal of Business Research, 104, 563–575. https://doi.org/1.1016/j.jbusres.2018.1.047
Fornell, C. (1992, January). A National Customer Satisfaction Barometer: The Swedish Experience. Journal of Marketing, 56(1), 6–21. https://doi.org/1.1177/002224299205600103
Giebe, C., Zwerenz, D., & Hammerström, L. (2023). Big Data Analytics as an elementary Customer Loyalty Instrument for German banks – an empirical approach from a banker’s perspective. Financial Markets, Institutions and Risks, 7(1), 96–108. https://doi.org/1.21272/fmir.7(1).96-108.2023
Gil-Gomez, H., Guerola-Navarro, V., Oltra-Badenes, R., & Lozano-Quilis, J. A. (2020, January 1). Customer relationship management: digital transformation and sustainable business model innovation. Economic Research-Ekonomska Istraživanja, 33(1), 2733–275. https://doi.org/1.1080/1331677x.2019.1676283
Ginting, Y. M., Chandra, T., Miran, I., & Yusriadi, Y. (2023). Repurchase intention of e-commerce customers in Indonesia: An overview of the effect of e-service quality, e-word of mouth, customer trust, and customer satisfaction mediation. International Journal of Data and Network Science, 7(1), 329–340. https://doi.org/10.5267/j.ijdns.2022.10.001
Gkinko, L., & Elbanna, A. (2022, May 3). Hope, tolerance and empathy: employees’ emotions when using an AI-enabled chatbot in a digitalised workplace. Information Technology & People, 35(6), 1714–1743. https://doi.org/1.1108/itp-04-2021-0328
Guimaraes, T., Staples, D. S., & McKeen, J. (2007, January). Assessing the Impact From Information Systems Quality. Quality Management Journal, 14(1), 30–44. https://doi.org/1.1080/10686967.2007.11918014
Gupta, M. K., & Chandra, P. (2020, February 6). A comprehensive survey of data mining. International Journal of Information Technology, 12(4), 1243–1257. https://doi.org/1.1007/s41870-020-00427-7
Hair, J. F., Black, W. C., Babin, B., & Anderson, R.E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall.
Hikmawati, N. K., Alamsyah, D. P., & Setiadi, A. (2020, November 3). IT Implementation of Customer Relationship Management. 2020 Fifth International Conference on Informatics and Computing (ICIC). https://doi.org/1.1109/icic50835.202.9288549
Hossain, M. A., Akter, S., Yanamandram, V., & Wamba, S. F. (2023, September). Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations. Technological Forecasting and Social Change, 194, 122745. https://doi.org/1.1016/j.techfore.2023.122745
Hwang, S. Y. (2020, February 29). Effects of customer perspective e-CRM activities and customer satisfaction on loyalty: Mediating effects of customer satisfaction. International Journal of Tourism Management and Sciences, 35(1), 77–98. https://doi.org/1.21719/ijtms.35.1.5
Jabado, R. & Jallouli, R. (2023). A Systematic Literature Review on CRM Critical Success Factors. Lecture Notes in Business Information Processing, 237–262. https://doi.org/10.1007/978-3-031-42788-6_15
Jabado, R. & Jallouli, R. (2024). Impact of data analytics capabilities on CRM systems’ effectiveness and business profitability: an empirical study in the retail industry. Journal of Telecommunications and the Digital Economy, 12(1), 427–445. https://doi.org/10.18080/jtde.v12n1.845
Jallouli, R., & Kaabi, S. (2022). Mapping top strategic e-commerce technologies in digital marketing literature. Journal of Telecommunications and the Digital Economy, 10(3), 149–164. https://doi.org/10.18080/jtde.v10n3.554
Jayachandran, S., Sharma, S., Kaufman, P., & Raman, P. (2005, October). The Role of Relational Information Processes and Technology Use in Customer Relationship Management. Journal of Marketing, 69(4), 177–192. https://doi.org/1.1509/jmkg.2005.69.4.177
Karaboga, T., Zehir, C., Tatoglu, E., Karaboga, H. A., & Bouguerra, A. (2022, November 15). Big data analytics management capability and firm performance: the mediating role of data-driven culture. Review of Managerial Science, 17(8), 2655–2684. https://doi.org/1.1007/s11846-022-00596-8
Kim, H. G., & Wang, Z. (2018). Defining and measuring social customer-relationship management (CRM) capabilities. Journal of Marketing Analytics, 7(1), 40–50. https://doi.org/10.1057/s41270-018-0044-8
Kulkarni, U. R., Ravindran, S., & Freeze, R. (2006, December). A Knowledge Management Success Model: Theoretical Development and Empirical Validation. Journal of Management Information Systems, 23(3), 309–347. https://doi.org/1.2753/mis0742-1222230311
Kumar, P., & Mokha, A. K. (2021, February 14). Relationship between E-CRM, Customer Experience, Customer Satisfaction and Customer Loyalty in Banking Industry: A Review of Literature. Research Review International Journal of Multidisciplinary, 6(2), 127–137. https://doi.org/1.31305/rrijm.2021.v06.i02.022
Kumar, P., & Mokha, A. K. (2023). Linking Electronic Customer Relationship Management (E-CRM) and Customer loyalty through Serial Mediation of Customer Experience and Customer Satisfaction. International Journal of Electronic Customer Relationship Management, 1(1). https://doi.org/1.1504/ijecrm.2023.10059220
Kotler, P. (1997). Marketing Management: Analysis, Planning, Implementation and Control. 9th ed. Upper Saddle River, NJ: Prentice Hall.
Lamrhari, S., Ghazi, H. E., Oubrich, M., & Faker, A. E. (2022). A social CRM analytic framework for improving customer retention, acquisition, and conversion. Technological Forecasting & Social Change, 174, 121275. https://doi.org/10.1016/j.techfore.2021.121275
Ledro, C., Nosella, A., & Vinelli, A. (2022, March 30). Artificial intelligence in customer relationship management: literature review and future research directions. Journal of Business & Industrial Marketing, 37(13), 48–63. https://doi.org/1.1108/jbim-07-2021-0332
Lee, D. J., & Hwang, J. H. (2022, June 30). Structural relationship among CRM Factors, Customer Satisfaction, Customer Trust, and CRM Outcomes in Golf Practice Ranger. Korean Journal of Sports Science, 31(3), 331–343. https://doi.org/1.35159/kjss.2022.6.31.3.331
Li, L. (2023, August 15). Customer relationship management, customer satisfaction and customer loyalty: Basis for CRM consolidated framework. International Journal of Research Studies in Management, 11(5). https://doi.org/10.5861/ijrsm.2023.1062
Mahafzah, A., Mohammad Aljawarneh, N., Abdel Kader Alomari, K., Altahat, S., & Saleh Alomari, Z. (2020, March 19). Impact of Customer Relationship Management on Food and Beverage Services Quality: The Mediating Role of Employees Satisfaction. Humanities & Social Sciences Reviews, 8(2), 222–230. https://doi.org/10.18510/hssr.2020.8226
Makinde, A. S., Vincent, O. R., Akinwale, A. T., Oguntuase, A., & Acheme, I. D. (2020, March). An Improved Customer Relationship Management Model for Business-to-Business E-commerce Using Genetic-Based Data Mining Process. 2020 International Conference in Mathematics, Computer Engineering and Computer Science (ICMCECS). https://doi.org/1.1109/icmcecs4769.202.240875
Maulana, A., & Napitupulu, T. A. (2022, May 31). Lost Won Opportunity Prediction in Sales Pipeline B2b CRM Using Machine Learning. Journal of Theoretical and Applied Information Technology, 100(10), Article E-ISSN: 1817-3195. http://www.jatit.org/volumes/Vol100No10/31Vol100No1.pdf
Mikalef, P., & Krogstie, J. (2020, April 16). Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities. European Journal of Information Systems, 29(3), 260–287. https://doi.org/10.1080/0960085x.2020.1740618
Mokha, A. K., & Kumar, P. (2021, December 28). Examining the Interconnections Between E-CRM, Customer Experience, Customer Satisfaction and Customer Loyalty. Journal of Electronic Commerce in Organizations, 20(1), 1–21. https://doi.org/1.4018/jeco.292474
Monod, E., Lissillour, R., Köster, A., & Jiayin, Q. (2022, April 26). Does AI control or support? Power shifts after AI system implementation in customer relationship management. Journal of Decision Systems, 32(3), 542–565. https://doi.org/1.1080/12460125.2022.2066051
Morimura, F., & Sakagawa, Y. (2023, March). The intermediating role of big data analytics capability between responsive and proactive market orientations and firm performance in the retail industry. Journal of Retailing and Consumer Services, 71, 103193. https://doi.org/1.1016/j.jretconser.2022.103193
Nikzad, N., Radi, M., Chipara, O., & Griswold, W. G. (2015, November 24). Managing the Energy-Delay Tradeoff in Mobile Applications with Tempus. Proceedings of the 16th Annual Middleware Conference. https://doi.org/1.1145/2814576.2814803
Oliver, R. L. (1999). Whence Consumer Loyalty? Journal of Marketing, 63, 33. https://doi.org/10.2307/12520995
Pandey, S., & Sharma, S. (2023, November). A comparative study of retrieval-based and generative-based chatbots using Deep Learning and Machine Learning. Healthcare Analytics, 3, 100198. https://doi.org/1.1016/j.health.2023.100198
Parker, S. K., & Grote, G. (2020, February 13). Automation, Algorithms, and Beyond: Why Work Design Matters More Than Ever in a Digital World. Applied Psychology, 71(4), 1171–1204. https://doi.org/1.1111/apps.12241
Pitt, L. F., Watson, R. T., & Kavan, C. B. (1995, June). Service Quality: A Measure of Information Systems Effectiveness. MIS Quarterly, 19(2), 173. https://doi.org/1.2307/249687
Rane, N. (2023). Enhancing Customer Loyalty through Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies: Improving Customer Satisfaction, Engagement, Relationship, and Experience. SSRN Electronic Journal. https://doi.org/1.2139/ssrn.4616051
Rane, N., Choudhary, S., & Rane, J. (2023). Hyper-personalization for enhancing customer loyalty and satisfaction in Customer Relationship Management (CRM) systems. SSRN Electronic Journal. https://doi.org/1.2139/ssrn.4641044
Ruivo, P., Oliveira, T., & Mestre, A. (2017, September 11). Enterprise resource planning and customer relationship management value. Industrial Management & Data Systems, 117(8), 1612–1631. https://doi.org/1.1108/imds-08-2016-0340
Schmenner, R. W., & Swink, M. L. (1998). On theory in operations management. Journal of Operations Management, 17(1), 97–113. https://doi.org/10.1016/s0272-6963(98)00028-x
Shah, D., & Murthi, B. (2021). Marketing in a data-driven digital world: Implications for the role and scope of marketing. Journal of Business Research, 125, 772–779. https://doi.org/10.1016/j.jbusres.2020.06.062
Shahbaz, M., Gao, C., Zhai, L., Shahzad, F., Abbas, A., & Zahid, R. (2020, June 22). Investigating the Impact of Big Data Analytics on Perceived Sales Performance: The Mediating Role of Customer Relationship Management Capabilities. Complexity, 2020, 1–17. https://doi.org/10.1155/2020/5186870
Singh, P., & Singh, V. (2024). The power of AI: enhancing customer loyalty through satisfaction and efficiency. Cogent Business & Management, 11(1). https://doi.org/10.1080/23311975.2024.2326107
Utz, M., Johanning, S., Roth, T., Bruckner, T., & Strüker, J. (2023, February). From ambivalence to trust: Using blockchain in customer loyalty programs. International Journal of Information Management, 68, 102496. https://doi.org/10.1016/j.ijinfomgt.2022.102496
Vargo, S. L., & Lusch, R. F. (2004). Evolving to a New Dominant Logic for Marketing. Journal of Marketing, 68(1), 1–17. https://doi.org/10.1509/jmkg.68.1.1.24036
Vittinghoff, E., Glidden, D. V., Shiboski, S. C., & McCulloch, C. E. (2012, March 6). Regression Methods in Biostatistics. Springer Science & Business Media.
Wang, N. Y. G., & Feng, N. H. (2008). CRM capability in service industries: Conceptualization and scale development. 2008 IEEE International Conference on Service Operations and Logistics, and Informatics. https://doi.org/10.1109/soli.2008.4686367
Wang, Z., & Dong, F. (2022, November 3). Experience of Pro-Poor Tourism (PPT) in China: A Sustainable Livelihood Perspective. Sustainability, 14(21), 14399. https://doi.org/10.3390/su142114399
Wang, Y., & Feng, H. (2012). Customer relationship management capabilities. Management Decision, 50(1), 115–129. https://doi.org/10.1108/00251741211194903
Wassouf, W. N., Alkhatib, R., Salloum, K., & Balloul, S. (2020, April 23). Predictive analytics using big data for increased customer loyalty: Syriatel Telecom Company case study. Journal of Big Data, 7(1). https://doi.org/10.1186/s40537-020-00290-0
Wijono, F. D., & Efrata, T. C. (2023, September 15). Strengthening Customer Loyalty through Customer Engagement, Customer Experience, and Service Innovation. Jurnal Entrepreneur Dan Entrepreneurship, 12(2). https://doi.org/10.37715/jee.v12i2.4177

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