SVNN-ExpTODIM Technique for Maturity Evaluation of Digital Transformation in Retail Enterprises Under Single-Valued Neutrosophic Sets

The digital economy has become an important force driving the transformation of old and new driving forces in China's economy, and also provides an opportunity for retail enterprises to "overtake" by changing lanes. The evaluation of the maturity of digital transformation in retail enterprises plays an important role in their digital transformation process. Although more and more retail enterprises are realizing the important role of digital transformation in their own development, the digital transformation of retail enterprises is a complex issue that involves all aspects of retail enterprise management. There are still many retail enterprises that lack clear strategic goals and practical paths, as well as effective supporting assessments and institutional incentives in the process of digital transformation, which may further widen the digital level gap between retail enterprises. The maturity evaluation of digital transformation in retail enterprises is multiple-attribute group decision-making (MAGDM). Recently, the Exponential TODIM (ExpTODIM) technique was employed to cope with MAGDM. The single-valued neutrosophic sets (SVNSs) are presented as decision tool for characterizing fuzzy information during the maturity evaluation of digital transformation in retail enterprise. In this study, the single-valued neutrosophic number Exponential TODIM (SVNN-ExpTODIM) technique is presented to solve the MAGDM under SVNSs. At last, numerical study for maturity evaluation of digital transformation in retail enterprise is presented to validate the SVNN-ExpTODIM technique through comparative analysis.

@article{Yang2024,
  title     = {SVNN-ExpTODIM Technique for Maturity Evaluation of Digital Transformation in Retail Enterprises Under Single-Valued Neutrosophic Sets},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {6},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Xiaoling Yang},
  doi       = {10.14569/IJACSA.2024.0150669},
  url       = {https://doi.org/10.14569/IJACSA.2024.0150669}
}