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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1052))

Abstract

Contemporary organizations face numerous challenges, including effective customer knowledge management (CKM). A knowledge about customers, their behaviors, preferences and interests has become an important asset and a source of competitive advantage. It is said that effective CKM results mainly in increase of sales, customer satisfaction and loyalty. Customer knowledge management is a complex process based on appropriate acquiring, storing and analyzing of different, dispersed information resources as well as discovering a new knowledge about customers. Nowadays, more and more information about customers originate from Internet, social media, mobile devices and different data bases that are called big data (BD). An exploration of BD has become for many organizations an excellent opportunity to better know their customers and to gain a greater understanding of the way of CKM and the challenges that confront it. The main objective of this study is to investigate a role of BD for customer knowledge management.

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References

  1. ADMA: Best Practice Guideline: Big Data. A guide to maximising customer engagement opportunities through the development of responsible Big Data strategies. Association for Data-drivers Marketing & Advertising (2013). http://datascienceassn.org. Accessed 24 Feb 2019

  2. Alexa: Spotify.com Traffic, Demographics and Competitors. https://www.alexa.com/. Accessed 05 Mar 2019

  3. Boljanović, J., Stanković, J.: The role of knowledge management in building client relationships. Singidunum J. 9(1), 16–28 (2012)

    Google Scholar 

  4. Bueren, A., Schierholz, R., Kolbe, L., Brenner, W.: Customer knowledge management - improving performance of customer relationship management with knowledge management. In: Proceedings of the 37th Annual Hawaii International Conference on System Sciences, pp. 1–10 (2004)

    Google Scholar 

  5. Bukovitz, W., Williams, R.: The Knowledge Management Fieldbook, p. 2. Financial Times – Prentice Hall, Pearsons Education Ltd., London (1999)

    Google Scholar 

  6. Chandler, R., Juhlin, K., Fransson, J., Caster, O., Edwards, I., Noren, G.: Current safety concerns with human papillomavirus vaccine: a cluster analysis of reports in VigiBase. Drug Saf. 40, 81–90 (2017)

    Article  Google Scholar 

  7. Cotobal, J.: E-intelligence tools in the customer consumption analysis introduction and background of customer intelligence’s tool. Roczniki Ekonomii i Zarządzania 117–129 (2014)

    Google Scholar 

  8. Deloitte: Knowledge Management & Big Data. Making Smart Enterprise a Reality. Confederation of Indian Industry (2018). https://www2.deloitte.com/. Accessed 22 Feb 2019

  9. Desouza, K., Awazu, Y.: What do they know? Bus. Strategy Rev. 16(1), 42–45 (2005)

    Article  Google Scholar 

  10. Du Plessis, M., Boon, J.: Knowledge management in eBusiness and customer relationship management: South African case study findings. Int. J. Inf. Manag. 24(1), 73–86 (2004)

    Article  Google Scholar 

  11. Erl, T., Khattak, W., Buhler, P.: Big Data Fundamentals: Concepts, Drivers & Techniques. Prentice Hall, Boston (2015)

    Google Scholar 

  12. Feinerer, I., Hornik, K., Meyer, D.: Text mining infrastructure in R. J. Stat. Softw. 25(5), 1–54 (2008)

    Google Scholar 

  13. Fernández, A., del Río, S., López, V., Bawakid, A., del Jesus, M., Benítez, J., Herrera, F.: Big data with cloud computing: an insight on the computing environment, MapReduce, and programming frameworks. In: Pokornowski, M. (ed.) The Fourth V, as in Evolution: How Evolutionary Linguistics Can Contribute to Data Science, Theoria et Historia Scientiarum, vol. 11, pp. 48–49 (2015)

    Google Scholar 

  14. Frizzo-Barker, J., Chow-White, P., Mozafari, M.: An empirical study of the rise of big data in business scholarship. Int. J. Inf. Manag. 36(3), 403–413 (2016)

    Article  Google Scholar 

  15. Geib, M., Riempp, G.: Customer knowledge management. In: Abecker, A., Hinkelmann, K., Maus, H., Mu¨ller, H.J. (eds.) Geschaftsprozessorientiertes Wissensmanagement – Effektive Wissensnutzung bei der Planung und Umsetzung von Gescha¨ftsprozessen, pp. 393–417. Springer, Berlin (2002)

    Google Scholar 

  16. Hammou, F., Hammouche, K., Postaire, J.: Convexity dependent anisotropic diffusion for mode detection in cluster analysis. Neurocomputing 306, 80–93 (2018)

    Article  Google Scholar 

  17. Huang Li, E., Weng, X.: Applying customer knowledge management to alignment and integration of strategy maps. In: The Thirteenth International Conference on Electronic Business, 1–4 December, Singapore (2013)

    Google Scholar 

  18. IBM: Big Data Analytics. Employ the most effective big data technology. www.ibm.com/. Accessed 10 Feb 2019

  19. Izhar, T., Shoid, M., Baharuddin, M., Mohamad, A., Ramli, A.: Understanding big data to improve knowledge management practices: gaps and limitations. Soc. Sci. 21(2), 241–244 (2017)

    Google Scholar 

  20. Khan, Z., Vorley, T.: Big data text analytics: an enabler of knowledge management. J. Knowl. Manag. 21(1), 18–34 (2014)

    Article  Google Scholar 

  21. Kordvalouei, H., Vakili, Y., Moradi, M.: A survey on the relationship between knowledge sharing and organizational performance (case study: Bandarabas municipality). Arth Prabhand: J. Econ. Manag. 3(6), 147–156 (2014)

    Google Scholar 

  22. Kumer Roy, T., Stavropoulos, C.: Customer knowledge management (CKM) in the e-business environment cases from Swedish bank. M.S. thesis in Business Administration, Lulea University of Technology, Sweden (2007)

    Google Scholar 

  23. Lahiru, F.: 7 V’s of Big Data (2017). http://blogsofdatawarehousing.blogspot.com. Accessed 22 Feb 2019

  24. Lau, R., Zhao, J., Chen, G., Guo, X.: Big data commerce. Inf. Manag. 53(8), 929–933 (2016)

    Article  Google Scholar 

  25. Lim, A., William, W.: R High Performance Programming. Packt Publishing, Birmingham-Mumbai (2015)

    Google Scholar 

  26. Liu, B.: Sentiment Analysis and Opinion Mining. Synthesis Lectures on Human Language Technologies (2012)

    Article  Google Scholar 

  27. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.: Big Data: The Next Frontier for Innovation, Competition and Productivity. McKinsey Global Institute (2011)

    Google Scholar 

  28. Olszak, C.M.: Toward better understanding and use of Business Intelligence in organizations. Inf. Syst. Manag. 33(2), 105–123 (2016)

    Article  Google Scholar 

  29. Patil, M., Yogi, A.: Importance of data collection and validation for systematics software development process. Int. J. Comput. Sci. Inf. Technol. (IJCSIT) 3(2) (2011)

    Google Scholar 

  30. Pavićić, J., Alfirević, N., Źnidar, K.: Customer knowledge management: toward social CRM. Int. J. Manag. Cases 13(3), 203–209 (2011)

    Article  Google Scholar 

  31. Pedrycz, W., Chen, S.M.: Information Granularity, Big Data and Computational Intelligence. Studies in Big Data. Springer, Heidelberg (2015)

    Google Scholar 

  32. Ren, K.: Learning R Programming. Become an Efficient Data Scientist with R. Packt Publishing, Birmingham – Mumbai (2016)

    Google Scholar 

  33. Rico, N., Diaz, I.: Chord progressions selection based on song audio features. In: Cos Juez, F., Villar, J., la Cal, E., Saez, J., Corchado, E. (eds.) Hybrid Artificial Intelligent Systems. 13th International Conference, HAIS 2018, Oviedo, Spain, Proceedings (2018)

    Google Scholar 

  34. Rollins, M., Haliens, A.: Customer knowledge management competence: towards a theoretical framework. In: Proceedings of the 38th Hawaii International Conference on System Sciences (2005)

    Google Scholar 

  35. Rowley, J.: Eight questions for customer knowledge management in e-business. J. Knowl. Manag. 6, 500–511 (2002)

    Article  Google Scholar 

  36. Sa’ad Al-Hyari, H.: Customer knowledge management towards customer attraction from managers’ perspective; a case study of Arab Bank in Amman City. Inf. Knowl. Mang. 6(11), 47–57 (2016)

    Google Scholar 

  37. SAS2: Big Data. Czym są i dlaczego mają znaczenie? https://www.sas.com. Accessed 05 Mar 2019

  38. Spotify: What is Spotify? https://support.spotify.com/. Accessed 05 Mar 2019

  39. Velicer, W.F., Fava, J.L.: Time series analysis. In: Schinka, J.A., Velicer, W.F. (eds.) Handbook of Psychology: Research Methods in Psychology, Hoboken, NJ, vol. 2, pp. 581–606 (2003)

    Google Scholar 

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Correspondence to Arkadiusz Kisiołek .

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Olszak, C., Kisiołek, A. (2020). Big Data for Customer Knowledge Management. In: Wilimowska, Z., Borzemski, L., Świątek, J. (eds) Information Systems Architecture and Technology: Proceedings of 40th Anniversary International Conference on Information Systems Architecture and Technology – ISAT 2019. ISAT 2019. Advances in Intelligent Systems and Computing, vol 1052. Springer, Cham. https://doi.org/10.1007/978-3-030-30443-0_22

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