Digitalization and Green Economy - Changes of business perspectives

Narcisa Roxana Moşteanu, Alessio Faccia, Luigi Pio Leonardo Cavaliere

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, the author aims to show how new technologies, digitalization of everything and green economy approach change the business environment perspective and strategy and organization of business approach. Digitalization, digital transformation, and green economy have become the most commonly used words in the last decade, but especially in recent years. If a business wants to remain competitive on the market, delivering green products and services at the same time, they must change their management approach. The research found out that the main impediments in digital and green implementation came from the lack of knowledge and understanding of the process, wrong organizational design and culture. The present paper comes to presents a possible business model to meet the current market requirements.

Original languageEnglish
Title of host publicationProceedings of the 2020 4th International Conference on Cloud and Big Data Computing, ICCBDC 2020
PublisherAssociation for Computing Machinery
Pages108-112
Number of pages5
ISBN (Electronic)9781450375382
DOIs
Publication statusPublished - 26 Aug 2020
Externally publishedYes
Event4th International Conference on Cloud and Big Data Computing, ICCBDC 2020 - Virtual, Online, United Kingdom
Duration: 26 Aug 202028 Aug 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference4th International Conference on Cloud and Big Data Computing, ICCBDC 2020
Country/TerritoryUnited Kingdom
CityVirtual, Online
Period26/08/2028/08/20

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

  • business model
  • Digitalization
  • FinTech
  • Green economy
  • organizational structure

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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