Open Access
| Issue |
SHS Web of Conf.
Volume 92, 2021
The 20th International Scientific Conference Globalization and its Socio-Economic Consequences 2020
|
|
|---|---|---|
| Article Number | 04019 | |
| Number of page(s) | 10 | |
| Section | Innovation and Investment on Industry 4.0 | |
| DOI | https://doi.org/10.1051/shsconf/20219204019 | |
| Published online | 13 January 2021 | |
- Gu, Y., Qi, L., Wang, J. (2018). Breaking The Monolith: Strategy, Variety, and Performance of Enterprise Information Systems. Journal of Systems Science and Systems Engineering, 27(6), 727-770. [CrossRef] [Google Scholar]
- Alpers., S., Becker, Ch., Eryilmaz, E., Schuster, T. (2014). A Systematic Approach for Evauation and Selection of ERP Systems. In S. Wrycza (Eds.), SIGSAND/PLAIS 2014 (pp. 36–48). Gdansk: Springer. [Google Scholar]
- Olson, D.L., Johansson, B., Atem de Carvalho, R. (2012). A Combined Method for Evaluating Criteria When Selecting EPR Systems. In Ch. Moeller, S. Chaudhry (Eds.), Re-conceptualizing Enterprise Information Systems (pp. 64-74). Aalborg: Springer. [CrossRef] [Google Scholar]
- Haddara, M. (2014). ERP Selection: The SMART Way. Procedia Technology, 16, 394-403. [CrossRef] [Google Scholar]
- Alaskari, O., Pinedo-Cuenca, R., Ahmad, M.M (2019). Framework for Selection of ERP System: Case Study. Procedia Manufacturing, 38, 69-75. [CrossRef] [Google Scholar]
- Wei, Ch., Chien, Ch., Wang., M.J. (2005). An AHP-based approach to ERP system selection. International Journal of Production Economics, 96(1), 47-62. [CrossRef] [Google Scholar]
- Kilic, H.S., Zaim, S., Delen, D. (2014). Development of a hybrid methodology for ERP system selection: The case of Turkish Airlines. Decision Support Systems, 66, 82-92. [CrossRef] [Google Scholar]
- Karsak, E.E., Ozogul, C.O. (2009). An integrated decision making approach for ERP system selection. Expert Systems with Applications, 36(1), 660-667. [CrossRef] [Google Scholar]
- Efe, B. (2016). An integrated fuzzy multi criteria group decision making approach for ERP system selection. Applied Soft Computing, 38, 106-117. [CrossRef] [Google Scholar]
- Vacek, J., Dvorakova, L., Cerna, M., Horak, J., Caha, Z., & Machova, V. (2019). Identifikace, analyza a hodnoceni principu, postupu, metod a nastroju pro adaptaci sektoru sluzeb na technicke, ekonomicke, socialni a environmentalni podminky Spolecnosti 4.0. [Google Scholar]
- Hofmann, E., Rusch, M. (2017). Industry 4.0 and the current status as well as future prospects on logistics. Computers in Industry, 89, 23-34. [CrossRef] [Google Scholar]
- Inkermann, D., Schneider, D., Martin, N.L., Lembeck, H., Zhang, J., Thiede, S. (2019). A framework to classify Industry 4.0 technologies across production and product development. Procedia CIRP, 84, 973-978. [CrossRef] [Google Scholar]
- Rojko, A. (2017). Industry 4.0 Concept: Backgroun and Overview. International Journal of Interactive Mobile Technologies, 11(5), 77-90. [CrossRef] [Google Scholar]
- Vaidya, S., Ambad, P., Bhosle, S. (2018). Industry 4.0 – A Glimpse. Procedia Manufacturing, 20, 233-238. [CrossRef] [Google Scholar]
- Polivka, M., Dvorakova, L. (2019). Vyuziti automaticke identifikace a sberu dat prostrednictvim radiofrekvencnich technologii v prostredi Prumyslu 4.0. Trendy v podnikani, 9(2), 53-61. [CrossRef] [Google Scholar]
- Leyh, Ch., Schaffer, T., Bley, K., Forstenhausler, S. (2017). Assessing the IT and Software Landscapes of Industry 4.0-Enterprises: The Maturity Model SIMMI 4.0. In E. Ziemba (Ed.), Information technology for management: new ideas and real solutions. Cham: Springer, 277, 103-119. [CrossRef] [Google Scholar]
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