Advertisement

The Adoption of Business Intelligence Systems in Textile and Apparel Industry: Case Studies

  • Sumera AhmadEmail author
  • Suraya Miskon
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1073)

Abstract

The textile and apparel industry are characterized by highly labor-intensive operations, short production lead times, huge capital investment, seasonal demand and frequent style changes. In the recent decade, BI systems have been broadly adopted and implemented to achieve the true effectiveness of various systems and emerging technologies that are integrated to enhance the strategic, management and operational efficiency of textile and apparel industry to cope with the rapid growing challenges of globalization and expanding international competitive business environment. This research is first attempt to investigate the adoption of BI systems and discussing the real textile and apparel industry cases based on qualitative research method and also highlight the improved processes with some leading BI solutions. In addition, some major barriers and critical success factors for BI systems adoption are identified. The study limitation is also discussed with conclusion.

Keywords

Textile industry Apparel industry BI systems adoption 

References

  1. 1.
    Balogun, A.L., Tyler, D., Han, S., Moora, H., Paco, A., Boiten, V.J., Ellams, D., Leal Filho, W.: A review of the socio-economic advantages of textile recycling. J. Clean. Prod. 218, 10–20 (2019)Google Scholar
  2. 2.
    Bordeleau, F.È., Mosconi, E., Santa-Eulalia, L.A.: Business intelligence in industry 4.0: state of the art and research opportunities. In: Proceedings of the 51st Hawaii International Conference on System Sciences, pp. 3944–3953 (2018)Google Scholar
  3. 3.
    Gaardboe, R., Svarre, T.: Business intelligence success factors: a literature review. J. Inf. Technol. Manag. 29(1), 1 (2018)Google Scholar
  4. 4.
    Moreno Saavedra, M.S., Bach, C.: Factors to determine business intelligence implementation in organizations. Eur. J. Eng. Res. Sci. 2(12), 1 (2018)Google Scholar
  5. 5.
    Rocha, Á., Correia, A.M., Costanzo, S., Reis, L.P.: New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 353, pp. III–IV. Springer, Switzerland (2015)Google Scholar
  6. 6.
    Choi, T.M.: Launching the right new product among multiple product candidates in fashion: optimal choice and coordination with risk consideration. Int. J. Prod. Econ. 202, 162–171 (2018)Google Scholar
  7. 7.
    Safra, I., Jebali, A., Jemai, Z., Bouchriha, H., Ghaffari, A.: Capacity planning in textile and apparel supply chains. IMA J. Manag. Math. 30(2), 209–233 (2018)MathSciNetzbMATHGoogle Scholar
  8. 8.
    Jain, S., Bruniaux, J., Zeng, X., Bruniaux, P.: Big data in fashion industry. In: IOP Conference Series: Materials Science and Engineering, vol. 254, no. 15, p. 152005 (2017)Google Scholar
  9. 9.
    Iqbal, M., Soomrani, A.R., Butt, S.H.: Opportunities & Challenges (2018)Google Scholar
  10. 10.
    Hänel, T., Felden, C.: Operational business intelligence meets manufacturing. In: Americas Conference on Information Systems, pp. 1–9 (2013)Google Scholar
  11. 11.
    Rostek, K.: Business intelligence for insurance companies. Found. Manag. 1(1), 65–82 (2009)Google Scholar
  12. 12.
    Božič, K., Dimovski, V.: Business intelligence and analytics for value creation: the role of absorptive capacity. Int. J. Inf. Manag. 46, 93–103 (2019)Google Scholar
  13. 13.
    Nayak, R., Singh, A., Padhye, R., Wang, L.: RFID in textile and clothing manufacturing: technology and challenges. Fash. Text. 2(1), 1–16 (2015)Google Scholar
  14. 14.
    Ooi, K.B., Lee, V.H., Tan, G.W.H., Hew, T.S., Hew, J.J.: Cloud computing in manufacturing: the next industrial revolution in Malaysia? Expert Syst. Appl. 93, 376–394 (2018)Google Scholar
  15. 15.
    Tole, A.A.: Cloud computing and business intelligence. Database Syst. J. 4, 49–57 (2014)Google Scholar
  16. 16.
    Molano, J.I.R., Lovelle, J.M.C., Montenegro, C.E., Granados, J.J.R., Crespo, R.G.: Metamodel for integration of internet of things, social networks, the cloud and industry 4.0. J. Ambient Intell. Humaniz. Comput. 9(3), 709–723 (2018)Google Scholar
  17. 17.
    Jouriles, N.: IoT and the fashion industry. Personal Interview, 10 May 2016Google Scholar
  18. 18.
    Pool, J.K., Jamkhaneh, H.B., Tabaeeian, R.A., Tavakoli, H., Shahin, A.: The effect of business intelligence adoption on agile supply chain performance. Int. J. Prod. Qual. Manag. 23(3), 289–306 (2018)Google Scholar
  19. 19.
    Istrat, V., Lalić, N.: Association rules as a decision making model in the textile industry. Fibres Text. East. Eur. 25(4), 8–14 (2017)Google Scholar
  20. 20.
    Bach, M.P., Čeljo, A., Zoroja, J.: Technology acceptance model for business intelligence systems: preliminary research. Procedia Comput. Sci. 100, 995–1001 (2016)Google Scholar
  21. 21.
    Yusof, A.F., Miskon, S., Ahmad, N., Alias, R.A., Hashim, H., Abdullah, N.S., Ali, N.M., Maarof, M.A.: Implementation issues affecting the business intelligence adoption in public university. ARPN J. Eng. Appl. Sci. (2015)Google Scholar
  22. 22.
    Webster, L.: Using narrative inquiry as a research method (2014)Google Scholar
  23. 23.
    Poba-Nzaou, P., Uwizeyemungu, S., Saada, M.: Critical barriers to business intelligence open source software adoption. Int. J. Bus. Intell. Res. 10(1), 59–79 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of ComputingUniversiti Teknologi MalaysiaJohor BahruMalaysia
  2. 2.Information Systems, Azman Hashim International Business SchoolUniversiti Teknologi MalaysiaJohor BahruMalaysia

Personalised recommendations