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Saif Abu Naser Mohammad (Universiti Putra, Malaysia), Rahman Azmawani Abd (Universiti Putra, Malaysia), Mostafa Rehnuma (University of Dhaka, Bangladesh)
Post-Implementation Challenges of Erp Adoption in Apparel Industry of Developing Country
LogForum, 2021, vol. 17, nr 4, s. 519-529, rys., tab., bibliogr. 48 poz.
Słowa kluczowe
Kraje rozwijające się, Rynek odzieżowy, Systemy ERP, Systemy informatyczne
Developing countries, Clothing market, ERP system, Computer system
Background: In the current tenure of fourth industrial revolution (Industry 4.0), time has come to revisit the issues of post-implementation challenges of Enterprise Resource Planning (ERP) systems in the apparel industry of developing countries around the globe. This bibliometric review aims to identify the post-implementation challenges of ERP in apparel industry of a developing country. Methods and procedures: Total 4854 published papers during the period 2000-2021 from the databases of Scopus and ScienceDirect were scanned to identify the relevant 52 publications using PRISMA flow diagram. Full bibliometric information was synthesized to create term co-occurrence network map using VOSviewer1.6.16. Later, cross-mapping the bibliometric terms from the meta-analyses with the six in-depth qualitative interviews conducted in a developing country, authors established themes through three levels of association. Results: Results of this study have portrayed three themes; technical, operational, and human. Apparel industry of developing country faces technical, operational, and human challenges at the post-implementation phase of ERP adoption. Conclusions: Technical, operational, and human are the major categories of challenges that need to be addressed to sustain the ERP implementation for developing countries. So, practitioners at the industry level, consultants, policymakers in the apparel industry, IT experts along with other knowledge workers should pay attention to these issues to build ERP systems more stable. Finally, the qualitative paper ends with the direction for further research in this specific field of enterprise information systems. (original abstract)
Pełny tekst
  1. Ahmad S., Miskon S., Alabdan R., Tlili I., 2020. Exploration of influential determinants for the adoption of business intelligence system in the textile and apparel industry. Sustainability, 12(18), 7674.
  2. Ahmad S., Miskon S., Alabdan R., Tlil, I., 2020. Towards sustainable textile and apparel industry: Exploring the role of business intelligence systems in the era of industry 4.0. Sustainability, 12(7), 2632.
  3. Alsharari N.M., Al-Shboul M., Alteneiji S., 2020. Implementation of cloud ERP in the SME: evidence from UAE. Journal of Small Business and Enterprise Development.
  4. Asif A.A.H., 2017. An overview of sustainability on apparel manufacturing industry in Bangladesh. Science Journal of Energy Engineering, 5(1), 1.
  5. Bashar A., Hasin M.A.A., 2018. Lean manufacturing awareness and its implementation status in the apparel industry in Bangladesh. International Journal of Lean Enterprise Research, 2(3), 202-217.
  6. Bashar A., Hasin A.A., Adnan Z.H., 2021. Impact of lean manufacturing: evidence from apparel industry in Bangladesh. International Journal of Lean Six Sigma.
  7. Behera R.K., Dhal S.K., 2020. A Meta-Analysis of Impact of ERP Implementation. In Advances in Data Science and Management, 123-135. Springer, Singapore.
  8. Bjelland E,. Haddara M., 2018. Evolution of ERP systems in the cloud: A study on system updates. Systems, 6(2), 22.
  9. Boza A., Cuenca L., Poler R., Michaelides Z., 2015. The interoperability force in the ERP field. Enterprise Information Systems, 9(3), pp.257-278.
  10. Chowdhury M.M.H., Umme N.J., Nuruzzaman M., 2018. Strategies for mitigating supplyside barriers in the apparel supply chain: A study on the apparel industry of Bangladesh. Global Journal of Flexible Systems Management, 19(1), 41-52.
  11. Christopher M., 2018. New directions in logistics. In Global logistics and distribution planning, 27-38. Routledge.
  12. Creswell J.W., Creswell J.D., 2017. Research design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
  13. Dieste O., Padua A.G., 2007. September. Developing search strategies for detecting relevant experiments for systematic reviews. In First International Symposium on Empirical Software Engineering and Measurement, ESEM 2007, 215-224. IEEE.
  14. Domagała A., Grobler-Dębska K., Wąs, J., Kucharska E., 2021. Post-Implementation ERP Software Development: Upgrade or Reimplementation. Applied Sciences, 11(11), 4937.
  15. Ehie I.C., Madsen M., 2005. Identifying critical issues in enterprise resource planning (ERP) implementation. Computers in industry, 56(6), 545-557.
  16. Ellegaard O., Wallin J.A., 2015. The bibliometric analysis of scholarly cproduction: How great is the impact? Scientometrics, 105(3), 1809-1831.
  17. Etikan I., Musa S.A., Alkassim, R.S., 2016. Comparison of convenience sampling and purposive sampling. American journal of theoretical and applied statistics, 5(1), 1-4.
  18. Gcora N., Chigona W., 2019. Postimplementation evaluation and challenges of Integrated Financial Management Information Systems for municipalities in South Africa. South African Journal of Information Management, 21(1), 1-12.
  19. Hietala H., Päivärinta T., 2021. Benefits Realisation in Post-Implementation Development of ERP Systems: A Case Study. Procedia Computer Science, 181, 419-426.
  20. Hoque M.R., Saif A.N.M., AlBar A.M., Bao Y., 2016. Adoption of information and communication technology for development: A case study of small and medium enterprises in Bangladesh. Information Development, 32(4), 986-1000.
  21. Islam M.A., Igwe P.A., Rahman M., Saif A.N.M., 2020. Remote working challenges and solutions: Insights from SMEs in Bangladesh during the COVID-19 pandemic. International Journal of Quality and Innovation.
  22. Jayeola O., Sidek S., Rahman A.A., Bali Mahomed A.S., Jimin H., 2020. Contextual factors and strategic consequences of cloud enterprise resource planning (ERP) adoption in Malaysian manufacturing SMEs: a conceptual framework. 23456789/63114
  23. Kalantari A., Kamsin A., Kamaruddin H.S., Ebrahim N.A., Gani A., Ebrahimi A., Shamshirband S., 2017. A bibliometric approach to tracking big data research trends. Journal of Big Data, 4(1), 1-18.
  24. Kamal M., Mostafa N., 2018. The Influence of Enterprise Resource Planning (ERP) systems on Apparel Factories. Architecture, Arts and Humanistic Science Magazine, 29(5913), 1-26.
  25. Kazmi S., Mäntymäki M., 2018. Benefits and challenges of enterprise resource planning for Pakistani SMEs (Master's thesis, University of Turku, Finland).
  26. Koffel J.B., 2015. Use of recommended search strategies in systematic reviews and the impact of librarian involvement: a crosssectional survey of recent authors. PloS one, 10(5), e0125931.
  27. Kovacs A., Van Looy B., Cassiman B., 2015. Exploring the scope of open innovation: a bibliometric review of a decade of research. Scientometrics, 104(3), 951-983.
  28. Lemonakis C., Sariannidis N., Garefalakis A., Adamou A., 2020. Visualizing operational effects of ERP systems through graphical representations: current trends and perspectives. Annals of Operations Research, 294(1), 401-418.
  29. Lin Y.Y., Nagai Y., Chiang T.H., Chiang H.K., 2021. SuccERP: The design science based integration of ECS and ERP in postimplementation stage. International Journal of Engineering Business Management, 13, p.18479790211008812.
  30. Loon L.K., Hassan M.G., Udin Z.M., 2016. The effect of supply chain technology adoption: An empirical study of textile and apparel industry in Malaysia. Journal of Engineering and Applied Sciences, 100(8), 1727-1734.
  31. Mahmud I., Ramayah T., Kurnia S., 2017. To use or not to use: Modelling end user grumbling as user resistance in preimplementation stage of enterprise resource planning system. Information Systems, 69, 164-179.
  32. Majeed A.A., Rupasinghe T.D., 2017. Internet of things (IoT) embedded future supply chains for industry 4.0: An assessment from an ERP-based fashion apparel and footwear industry. International Journal of Supply Chain Management, 6(1), 25-40.
  33. Moh'd Anwer A.S., 2019. Towards better understanding of determinants logistical factors in SMEs for cloud ERP adoption in developing economies. Business Process Management Journal.
  34. Nayak R., Akbari M., Far S.M., 2019. Recent sustainable trends in Vietnam's fashion supply chain. Journal of Cleaner Production, 225, 291-303.
  35. Osnes K.B., Olsen J.R., Vassilakopoulou P., Hustad E., 2018. ERP systems in multinational enterprises: a literaturę review of post-implementation challenges. Procedia computer science, 138, 541-548.
  36. Panic N., Leoncini E., De Belvis G., Ricciardi W., Boccia S., 2013. Evaluation of the endorsement of the preferred reporting items for systematic reviews and metaanalysis (PRISMA) statement on the quality of published systematic review and metaanalyses. PloS one, 8(12), e83138.
  37. Parthasarathy S., Sharma S., 2017. Impact of customization over software quality in ERP projects: an empirical study. Software Quality Journal, 25(2), 581.
  38. Perera B.H.D., Munasinghe S.L.A., 2020. Factors Effect to the Post ERP Implementation in Sri Lankan Apparel Industry.
  39. Rahman M.A., Qi X., Saif A.N.M., Ibrahim I.B., Sultana R., 2017. Assessing service quality of online bill payment system using extended SERVQUAL model (SERVQUAL-Butterfly model): A case study of Dhaka electric supply company limited (DESCO), Bangladesh. Cogent Business & Management, 4(1), 1301195.
  40. Razzaq A., Mohammed A.A., 2020. Cloud ERP in Malaysia: Benefits, challenges, and opportunities. International Journal, 9(5).
  41. Ruivo P., Johansson B., Sarker S., Oliveira T., 2020. The relationship between ERP capabilities, use, and value. Computers in Industry, 117, 103209.
  42. Safder I., Hassan S.U., 2019. Bibliometricenhanced information retrieval: a novel deep feature engineering approach for algorithm searching from full-text publications. Scientometrics, 119(1), 257-277.
  43. Saldana J., 2011. Fundamentals of qualitative research. OUP USA. Sandelowski M., 1995. Sample size in qualitative research. Research in nursing & health, 18(2), 179-183.
  44. Seethamraju R., 2015. Adoption of software as a service (SaaS) enterprise resource planning (ERP) systems in small and medium sized enterprises (SMEs). Information systems frontiers, 17(3), 475-492.
  45. Sternad Zabukovšek S., Picek R., Bobek S., Šišovska Klančnik I., Tominc P., 2019. Technology acceptance model based study of students' attitudes toward use of enterprise resource planning solutions. Journal of Information and Organizational Sciences, 43(1), 49-71.
  46. Stewart L.A., Clarke M., Rovers M., Riley R.D., Simmonds M., Stewart G., Tierney J.F., 2015. Preferred reporting items for a systematic review and meta-analysis of individual participant data: the PRISMAIPD statement. Jama, 313(16), 1657-1665.
  47. Syafira A., Puspitasari W., Witjaksono W., 2020. Analysis and Evaluation of User Acceptance on the Use of Enterprise Resource Planning (ERP) Systems at PT Trisco Tailored Apparel Manufacturing. IJAIT (International Journal of Applied Information Technology), 4(01), 17-26.
  48. Venkatraman S., Fahd, K., 2016. Challenges and success factors of ERP systems in Australian SMEs. Systems, 4(2), 20.
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