Nothing Special   »   [go: up one dir, main page]

Skip to main content

Big Data Analytics for Customer Relationship Management: A Systematic Review and Research Agenda

  • Conference paper
  • First Online:
Advances in Computing and Data Sciences (ICACDS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1244))

Included in the following conference series:

Abstract

In today’s dynamic business scenario, customers have the power to rule the market on their terms and conditions. Customer Relationship Management (CRM) plays an imperative role by covering all methods and measures to have a better customer understanding, and to make the most of this knowledge in applications like production and marketing. With the emergence of big data, it brings a whole new inclusion of CRM strategies which can support customization of sales, personalization of services, and customer interactions. The paper aims to study the extant state of big data analytics for customer relationship management through the method of systematic literature review. Thematic analysis from the relevant studies is done and a framework is proposed as an outcome of the study. This framework can be used to analyze the present state of research in area of big data analytics and CRM and also future directions for the further research are provided in the paper.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Nisar, G., Prabhakar, T.: Trains and twitter: firm-generated content, customer relationship management and message framing. Transp. Res. Part A Pol. Pract. 113(c), 318–334 (2018)

    Google Scholar 

  2. Mikalef, P., Pappas, Ilias O., Krogstie, J., Giannakos, M.: Big data analytics capabilities: a systematic literature review and research agenda. Inf. Syst. e-Bus. Manage. 16(3), 547–578 (2017). https://doi.org/10.1007/s10257-017-0362-y

    Article  Google Scholar 

  3. Gončarovs, P.: Data analytics in crm processes: a literature review. Inf. Technol. Manage. Sci. 20(1), 103–108 (2017)

    Google Scholar 

  4. Ee-Zerbino, P., Aloini, D., Dulmin, R., Mininno, V.: Big data-enabled customer relationship management: a holistic approach. Inf. Process. Manage. 54, 818–846 (2018)

    Article  Google Scholar 

  5. Deutsch, T.: Big data: data quality’s best friend? IBM Data Manage. Mag. 7(A32) (2012)

    Google Scholar 

  6. Abu, G.M., Zabadi, A.M.: Promoting a revamped CRM through Internet of Things and big data: an AHP-based evaluation. Int. J. Organ. Anal. 28(1), 66–91 (2020)

    Article  Google Scholar 

  7. Grambau, J., Hitzges, A., Otto, B.: Reference architecture framework for enhanced social media data analytics for predictive maintenance models. In: Proceedings - 2019 IEEE International Conference on Engineering, Technology and Innovation, ICE/ITMC 2019, pp. 392–400 (2019)

    Google Scholar 

  8. Serrano, L., Ballestero, P., Romero, S., Ruiz, C., Ãlvarez, J.L.: Entropic statistical description of big data quality in hotel customer relationship management. Entropy 21(4), 419 (2019)

    Article  Google Scholar 

  9. Rawat, S., Jindal, S., Moorti, R.S., Mangal, Y., Saxena, N.: Change in IT world with the evolution of social media using Big Data. Proceedings of the 2018 International Conference on Communication, Computing and Internet of Things, IC3IoT 2018, pp. 408–412 (2019)

    Google Scholar 

  10. Arco, M.D., Presti, L.L., Marino, V., Resciniti, R.: Embracing AI and big data in customer journey mapping: From literature review to a theoretical framework. Innov. Mark. 15(4), 102–115 (2019)

    Article  Google Scholar 

  11. Chiranjeevi, H.S., Shenoy, M.K., Diwakaruni, S.S.: Evaluating the satisfaction index using automated interaction service and customer knowledgebase: a big data approach to CRM. Int. J. Electron. Custom. Relationsh. Manage. 12(1), 21–39 (2019)

    Article  Google Scholar 

  12. Manigandan, E., Shanthi, V., Kasthuri, M.: Parallel clustering for data mining in CRM. Adv. Intell. Syst. Comput. 808, 117–127 (2019)

    Google Scholar 

  13. Perera, W.K.R., Dilini, K.A., Kulawansa, T.: A review of big data analytics for customer relationship management. In: 2018 3rd International Conference on Information Technology Research, ICITR, pp. 1–6 (2018)

    Google Scholar 

  14. Elyusufi, Z., Elyusufi, Y., Aitkbir, M.: Customer profiling using CEP architecture in a big data context. In: ACM International Conference Proceeding Series, vol. 64, pp. 1–6 (2018)

    Google Scholar 

  15. Ballestero, P., Serrano, L., Ruiz, C., Romero, S., Ivarez, J.L.: Using big data from customer relationship management information systems to determine the client profile in the hotel sector. Tourism Manage. 68(1), 187–197 (2018)

    Article  Google Scholar 

  16. Zerbino, P., Aloini, D., Dulmin, R., Mininno, V.: Big data-enabled customer relationship management: a holistic approach. Inf. Process. Manage. 54(3), 818–846 (2018)

    Article  Google Scholar 

  17. Shrivastava, P., Sahoo, L., Pandey, M.: Recognition of telecom customer’s behavior as data product in CRM big data environment. Smart Innov. Syst. Technol. 79(1), 165–173 (2018)

    Article  Google Scholar 

  18. Shrivastava, P., Sahoo, L., Pandey, M., Agrawal, S.: Development of policy designing technique by analyzing customer behavior through big data analytics. Adv. Intell. Syst. Comput. 710(1), 573–581 (2018)

    Google Scholar 

  19. Francisco, M.M.C., Alves-Souza, S.N., Campos, E.G.L., De Souza, L.S.: Total data quality management and total information quality management applied to customer relationship management. In: ACM International Conference Proceeding Series, pp. 40–45 (2017)

    Google Scholar 

  20. Gallego, C., De-Pablos-Heredero, C.: Customer relationship management (CRM) and big data: a conceptual approach and their impact over the power of data applied to selling strategies. Dyna (Spain) 92(3), 274–279 (2017)

    Article  Google Scholar 

  21. Gončarovs, P., Grabis, J.: Using data analytics for continuous improvement of CRM processes: case of financial institution. In: Kirikova, M., Nørvåg, K., Papadopoulos, George A., Gamper, J., Wrembel, R., Darmont, J., Rizzi, S. (eds.) ADBIS 2017. CCIS, vol. 767, pp. 313–323. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67162-8_31

    Chapter  Google Scholar 

  22. Orenga-Roglá, S., Chalmeta, R.: Social customer relationship management: taking advantage of Web 2.0 and big data technologies. SpringerPlus 5(1), 1–17 (2016). https://doi.org/10.1186/s40064-016-3128-y

    Article  Google Scholar 

  23. GÃ3mez-Mateu, M., et al.: Big data in biomedical research. In: Perspectives from the biostatnet-CRM Workshop. Boletin de Estadistica e Investigacion Operativa 32(3), pp. 257–277 (2016)

    Google Scholar 

  24. Ennaji, F.Z., El Fazziki, A., El Alaouiel Abdallaoui, H., Sadiq, A., Sadgal, M., Benslimane, D.: Multi-agent framework for social CRM: extracting and analyzing opinions. J. Eng. Sci. Technol. 12(8), 2154–2174 (2017)

    Google Scholar 

  25. Ennaji, F.Z., El Fazziki, A., Sadgal, M., Benslimane, D.: Social intelligence framework: Extracting and analyzing opinions for social CRM. In: Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA, pp. 1–7 (2016)

    Google Scholar 

  26. Tiefenbacher, K., Olbrich, S.: Capabilities and impediments to leverage customer value from data - A case study from the automotive industry. In: International Conference on Information Systems 2018, ICIS 2018 (2018)

    Google Scholar 

  27. Xu, L., Chu, H.-C.: Big data analytics toward intelligent mobile service provisions of customer relationship management in e-commerce. J. Comput. (Taiwan) 26(4), 63–72 (2016)

    Google Scholar 

  28. Li, K., Deolalikar, V., Pradhan, N.: Big data gathering and mining pipelines for CRM using open-source. In: Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data, pp. 2936–2938 (2015)

    Google Scholar 

  29. Daif, A., Eljamiy, F., Azzouazi, M., Marzak, A.: Review current CRM architectures and introducing new adapted architecture to big data. In: 2015 International Conference on Computer and Computational Sciences, ICCCS 2015 (2015)

    Google Scholar 

  30. Jung, L.-S., Jung, D.-H.: A study on application plans of big data to improve customer satisfaction in auto maintenance industry. Inf. (Jpn) 18(6), 2679–2684 (2015)

    Google Scholar 

  31. Xu, L., Chu, H.-C.: The cooperation mechanism of multi-agent systems with respect to big data from customer relationship management aspect. In: Nguyen, N.T., Trawiński, B., Kosala, R. (eds.) ACIIDS 2015. LNCS (LNAI), vol. 9011, pp. 562–572. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-15702-3_54

    Chapter  Google Scholar 

  32. Zhang, Y., Wang, Y., He, C., Yang, T.: Modeling and application research on customer churn warning system based in big data era. Int. J. Multimed. Ubiquit. Eng. 9(9), 281–298 (2014)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sarika Sharma .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Sharma, S. (2020). Big Data Analytics for Customer Relationship Management: A Systematic Review and Research Agenda. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T., Valentino, G. (eds) Advances in Computing and Data Sciences. ICACDS 2020. Communications in Computer and Information Science, vol 1244. Springer, Singapore. https://doi.org/10.1007/978-981-15-6634-9_39

Download citation

  • DOI: https://doi.org/10.1007/978-981-15-6634-9_39

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-6633-2

  • Online ISBN: 978-981-15-6634-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics