A Measurement Strategy for Business Processes in Digital Transformation

10 pages•Published: November 24, 2022

Narayan Debnath, Carlos Humberto Salgado, Mario Gabriel Peralta, Daniel Riesco, Lorena Baigorria, German Montejano and Mouna Mazzi

Abstract

Facing the current situation with the correct tools has made the difference between companies that have managed to adapt to current technological and social changes and those that are in serious trouble. Today more than ever it is evident that the digital transformation of companies is the best way to follow and these transformative processes have been streamlined. There has been talk for several years about the need for companies to go through a digital transformation. Today more than ever it is necessary to face this situation of global uncertainty, having the necessary tools so that businesses can adapt quickly to the new reality. Thus, a trend that cannot be ignored in any way is the rapid growth of ecommerce. Therefore, for any organization, it will be of great help to have tools that allow evaluating the pros and cons of carrying out this digital transformation process. Therefore, in this paper we present a strategy for measuring business processes in their digital transformation process.

Keyphrases: business process, customer life cycle, digital transformation, measurement strategy, quality metrics

In: Yan Shi, Gongzhu Hu, Krishna Kambhampaty and Takaaki Goto (editors). Proceedings of 35th International Conference on Computer Applications in Industry and Engineering, vol 89, pages 11-20.

Links:	https://easychair.org/publications/paper/Gldb
	https://doi.org/10.29007/lcpk

BibTeX entry

@inproceedings{CAINE2022:Measurement_Strategy_Business_Processes,
  author    = {Narayan Debnath and Carlos Humberto Salgado and Mario Gabriel Peralta and Daniel Riesco and Lorena Baigorria and German Montejano and Mouna Mazzi},
  title     = {A Measurement Strategy for Business Processes in Digital Transformation},
  booktitle = {Proceedings of 35th International Conference on Computer Applications in Industry and Engineering},
  editor    = {Yan Shi and Gongzhu Hu and Krishna Kambhampaty and Takaaki Goto},
  series    = {EPiC Series in Computing},
  volume    = {89},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/Gldb},
  doi       = {10.29007/lcpk},
  pages     = {11-20},
  year      = {2022}}

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