Accesso libero

Data Mining Applications in SMEs: An Italian Perspective

 e   
03 dic 2020
INFORMAZIONI SU QUESTO ARTICOLO

Cita
Scarica la copertina

1. Abazi, B. (2016), “An approach to the impact of transformation from the traditional use of information and communication technology to the Internet of Things: How smart solutions can transform SMEs”, IFAC-PapersOnLine, Vol. 49 No. 29, pp. 148-151.10.1016/j.ifacol.2016.11.091Search in Google Scholar

2. Alam, F., Mehmood, R., Katib, I., Albeshri, A. (2016), “Analysis of eight data mining algorithms for smarter Internet of Things (IoT)”, Procedia Computer Science, Vol. 98, pp. 437-442.10.1016/j.procs.2016.09.068Search in Google Scholar

3. Alavi, M., Leidner, D. E. (2001), “Knowledge management and knowledge management systems: conceptual foundations and research issues”, MIS Quarterly, Vol. 25 No.1, pp. 107-136.10.2307/3250961Search in Google Scholar

4. Ali, A. B. M. S., Wasimi, S. A. (2009), “Data mining methods and techniques”, Thomson Learning Australia. South Melbourne.Search in Google Scholar

5. Almeida, P., Bernardino, J. (2016), “A survey on open source data mining tools for SMEs”, In New Advances in Information Systems and Technologies, Springer, Cham, pp. 253-262.10.1007/978-3-319-31232-3_24Search in Google Scholar

6. Assintel. (2019), “The information and communication technology market and the digital evolution in Italy”, Annual report, Assintel, Milano.Search in Google Scholar

7. Berson, A., Smith, S., Thearling, K. (1999), Building Data Mining Applications for Customer Relationship Management”, McGraw Hill, New York.Search in Google Scholar

8. Blagojević, M., Micić, I. (2013), “A web-based intelligent report e-learning system using data mining techniques”, Computers & Electrical Engineering, Vol. 39 No.2, pp. 465-474.10.1016/j.compeleceng.2012.09.011Search in Google Scholar

9. Calvello, M. (2020), “Learn data mining Techniques”, available at: https://learn.g2.com/data-mining-techniques (Apr 27, 2020)Search in Google Scholar

10. Cedrola, E., Battaglia, L., Tzannis, A. (2009), “The Italian SMEs in the International context. A model to succeed in the global arena”, Internal Report of the University of Macerata, No. 52. pp. 1-24.Search in Google Scholar

11. Chen, I. J., Popovich, K. (2003), “Understanding customer relationship management (CRM): People, process and technology”, Business Process Management Journal, Vol. 9 No. 5, pp. 672-688.10.1108/14637150310496758Search in Google Scholar

12. Coomar, D. (2020), “Elements of customer relationship management Implementation”, available at: https://www.engagebay.com/blog/crm-implementation/ (Apr 27, 2020)Search in Google Scholar

13. Corso, M., Martini, A., Paolucci, E., Pellegrini, L. (2003), “Knowledge management configurations in Italian small‐to‐medium enterprises”, Integrated Manufacturing Systems, Vol. 14 No. 1, pp. 46-56.10.1108/09576060310453344Search in Google Scholar

14. Fayyad, U. M. Piatetsky-Shapiro, G., Smyth, P. (1996), “From data mining to knowledge discovery: An overview”, in Advances in Knowledge Discovery and Data Mining, American Association for Artificial Intelligence, Menlo Park, pp. 1-34.Search in Google Scholar

15. Ghaderi, H., Fei, J. (2013), “Data mining practice in SMEs: A customer relationship management perspective”, in Lane, R., Kahn, D. (Eds.), 11th ANZAM Operations, Supply Chain and Services Management Symposium: Research Industry, 20-21 June, Australian and New Zealand Academy of Management, Brisbane, pp.1-12.Search in Google Scholar

16. Giornale delle PMI. (2019), “The Data Analytics market in Italy”, available at: https://www.giornaledellepmi.it/il-mercato-dei-big-data-analytics-in-italia-vale-17-miliardi-di-euro-23/ (Apr 27, 2020)Search in Google Scholar

17. Gurău, C., Ranchhod, A., Hackney, R. (2003), “Customer-centric strategic planning: Integrating customer relationship management in online business systems”, Information Technology & Management, Vol. 4 No.2, pp. 199-214.10.1023/A:1022902412594Search in Google Scholar

18. Hsu, C. H. (2009), “Data mining to improve industrial standards and enhance production and marketing: An empirical study in apparel industry”, Expert Systems With Applications, Vol. 36 No. 3, pp. 4185-4191.10.1016/j.eswa.2008.04.009Search in Google Scholar

19. Hui, S. C., Jha, G. (2000), “Data mining for customer service support”, Information & Management, Vol. 38 No. 1, pp. 1-13.10.1016/S0378-7206(00)00051-3Search in Google Scholar

20. IDC. (2020), “IDC analyze the future”, available at: www.idc.com (Apr 27, 2020)Search in Google Scholar

21. Iqbal, M., Kazmi, S. H. A., Manzoor, A., Soomrani, A. R., Butt, S. H., Shaikh, K. A. (2018), “A study of big data for business growth in SMEs: Opportunities & challenges”, in International Conference on Computing, Mathematics and Engineering Technologies, 3-4 March, IEEE, Sukkur, pp. 1-7.10.1109/ICOMET.2018.8346368Search in Google Scholar

22. Jun, C., Lee, J. Y., Yoon, J.-S., Kim, B. H. (2017), “Applications’ integration and operation platform to support smart manufacturing by small and medium-sized enterprises”, Procedia Manufacturing, Vol. 11, pp. 1950-1957.10.1016/j.promfg.2017.07.341Search in Google Scholar

23. Kovalev, D., Shanin, I., Stupnikov, S., Zakharov, V. (2018), “Data mining methods and techniques for fault detection and predictive maintenance in housing and utility infrastructure”, in International Conference on Engineering Technologies and Computer Science, 20-21 March, IEEE, Moscow, pp. 47-52.10.1109/EnT.2018.00016Search in Google Scholar

24. Landset, S., Khoshgoftaar, T. M., Richter, A. N., Hasanin, T. (2015), “A survey of open source tools for machine learning with big data in the Hadoop ecosystem” Journal of Big Data, Vol. 2 No.1, pp. 1-24.10.1186/s40537-015-0032-1Search in Google Scholar

25. Lee, I., Lee, K. (2015), “The Internet of Things (IoT): Applications, investments, and challenges for enterprises”, Business Horizons, Vol. 58 No. 4, pp. 431-440.10.1016/j.bushor.2015.03.008Search in Google Scholar

26. Linoff, G. S., Berry, M. J. A. (2004), Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management (2nd ed.), Wiley Publishing, Indianapolis.Search in Google Scholar

27. Luo, Q. (2008), “Advancing knowledge discovery and data mining”, in First International Workshop on Knowledge Discovery and Data Mining, 23-24 January, IEEE, Adelaide, pp. 3-5.10.1109/WKDD.2008.153Search in Google Scholar

28. Marbán, O., Menasalvas, E., Fernández-Baizán, C. (2008), “A cost model to estimate the effort of data mining projects CoMo)”, Information Systems, Vol. 33 No.1, pp. 133-150.10.1016/j.is.2007.07.004Search in Google Scholar

29. Marzo, G., Scarpino, E. (2016), “Exploring intellectual capital management in SMEs: An in-depth Italian case study”, Journal of Intellectual Capital, Vol. 17 No. 1, pp. 27-51.10.1108/JIC-09-2015-0075Search in Google Scholar

30. Ministry of Economic Development. (2017), “The Italian legislation in support of innovative SMEs Executive summary”, DG for Industrial Policy, Competitiveness and SMEs, available at: https://www.mise.gov.it/images/stories/documenti/executive_summary_innovative_SMEs_23febbraio2017.pdf (Apr 27, 2020)Search in Google Scholar

31. Mourtzis, D., Vlachou, E., Milas, N. (2016), “Industrial big data as a result of IoT adoption in manufacturing”, Procedia CIRP, Vol. 55, pp. 290-295.10.1016/j.procir.2016.07.038Search in Google Scholar

32. Ngai, E. W. T., Xiu, L., Chau, D. C. K. (2009), “Review: Application of data mining techniques in customer relationship management: A literature review and classification”, Expert Systems With Applications, Vol. 36 No.2, pp. 2592-2602.10.1016/j.eswa.2008.02.021Search in Google Scholar

33. Packianather, M. S., Davies, A., Harraden, S., Soman, S., White, J. (2017), “Data mining techniques applied to a manufacturing SME”, Procedia CIRP, Vol. 62, pp. 123-128.10.1016/j.procir.2016.06.120Search in Google Scholar

34. Pejić Bach, M. (2014), “Exploring information and communications technology adoption in enterprises and its impact on innovation performance of European countries”, Ekonomický časopis, Vol. 62, No. 4, pp. 335-362.Search in Google Scholar

35. Rojas-Torres, D., Kshetri, N. (2019), “Big data solutions for micro-, small-, and medium-sized enterprises in developing countries”, IT Professional, Vol. 21 No. 5, pp. 67-70.10.1109/MITP.2019.2932236Search in Google Scholar

36. Rygielski, C., Wang, J., Yen, D. (2002), “Data mining techniques for customer relationship management”, Technology in Society, Vol. 24, pp. 483-502.10.1016/S0160-791X(02)00038-6Search in Google Scholar

37. Sali, G. (2020), “Network digital 360: Digital innovation observatory”, available at: https://www.digital4.biz/pmi/pmi-digitale-cresce-attenzione-innovazione-a-rilento/ (Apr 27, 2020)Search in Google Scholar

38. Sen, D., Ozturk, M., Vayvay, O. (2016), “An overview of big data for growth in SMEs” Procedia - Social and Behavioral Sciences, Vol. 235, pp. 159-167.10.1016/j.sbspro.2016.11.011Search in Google Scholar

39. Shaw, M. J., Subramaniam, C., Tan, G. W., Welge, M. E. (2001), “Knowledge management and data mining for marketing”, Decision Support Systems, Vol. 31 No.1, pp. 127-137.10.1016/S0167-9236(00)00123-8Search in Google Scholar

40. Skaates, M. A., Seppänen, V. (2002), “Managing relationship-driven competence dynamics in professional service organisations”, European Management Journal, Vol. 20 No. 4, pp. 430-437.10.1016/S0263-2373(02)00066-XSearch in Google Scholar

41. Smart Working Observatory. (2020), “Digital innovation research: The smart working”, available at: https://www.osservatori.net/ (Apr 27, 2020)Search in Google Scholar

42. Stringfellow, A., Nie, W., Bowen, D. E. (2004), “Customer relationship management: Profiting from understanding customer needs”, Business Horizons, Vol. 47 No. 5, pp. 45-52.10.1016/j.bushor.2004.07.008Search in Google Scholar

43. Thomsen, C., Pedersen, T. B. (2009), “A survey of open source tools for business intelligence”, International Journal of Data Warehousing and Mining, Vol. 5 No. 3, pp. 56-75.10.4018/jdwm.2009070103Search in Google Scholar

44. Wanghualin. (2010), “Data mining and Its Applications in CRM”, in International Conference on Computer Research and Development, 7-10 May, IEEE, Kuala Lumpur, pp. 822-825.10.1109/ICCRD.2010.184Search in Google Scholar

45. Witten, I. H., Frank, E., Hall, M. A. (1999), Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kauffmann, San Francisco.Search in Google Scholar

46. Yang, J., Niu, Z., Wang, S., Li, F. (2011), “Individual customer management system for small and medium enterprises and management method of management system”, available at: https://patents.google.com/patent/CN102024202A/en (Apr 27, 2020)Search in Google Scholar