Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/31925| Author(s): | Geada, N. |
| Editor: | John Wang |
| Date: | 2023 |
| Title: | Change management science innovation methodologies |
| Book title/volume: | Encyclopedia of data science and machine learning |
| Pages: | 1614 - 1626 |
| Reference: | Geada, N. (2023). Change management science innovation methodologies. In J. Wang (Eds.), Encyclopedia of data science and machine learning (pp. 1614-1626). IGI Global. https://doi.org/10.4018/978-1-7998-9220-5.ch096 |
| ISBN: | 9781799892205 |
| DOI (Digital Object Identifier): | 10.4018/978-1-7998-9220-5.ch096 |
| Keywords: | Digitalization Digital sustainability Transformação digital -- Digital transformation Information Technology Infrastructure Library (ITIL) Change management Gestão de sistemas de informação -- Information systems management Processes |
| Abstract: | A question of central importance for researchers and practitioners is how information technology can help organizations to survive and thrive in turbulent and constantly changing business environments. The objective of this study is to identify the leading trends that have influenced the research and the prominent themes published using a scientific approach. Major themes discussed in this article include change management, digital transformation, digitalization, sustainability. Some areas of research have been extensively studied, while others are starting recently. In addition, trends are identified, and different future research themes are proposed. |
| Peerreviewed: | yes |
| Access type: | Open Access |
| Appears in Collections: | ISTAR-CLI - Capítulos de livros internacionais |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| bookPart_94181.pdf | 305,43 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.