Understanding potentials of cloud ERP adoption by large organisations: a case study

Rumana Ahmed, Gillian Oliver, Mahbubur Rahim

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

3 Citations (Scopus)

Abstract

The emergence of cloud computing has both architectural and financial implications for on-premise ERP systems. ERP designed for and running in the cloud claim to be suitable for digital business environments. However, the cloud ERP adoption literature mostly refers to small and medium enterprises, since large enterprises are constrained by investment in existing resources, and rarely presents the complex stages of decision-making. The context of developing vs developed countries might also vary, given the variance and rate of internal and external environmental turbulence. This case study explores the contributing factors for the initiation stage of migration from on-premise to cloud ERP by a large organisation in a developing country. In-depth interviews with key IT decision makers were analysed and a combination of internal and external factors were identified. The findings have implications for IT decision makers as well as IT innovation researchers, interested in the complexity of the transition decision.

Original languageEnglish
Title of host publicationPACIS 2020 Proceedings
EditorsCarol Hsu, James Y.L. Thong, Sean Xin Xu, Marco De Marco, Moez Limayem
PublisherAssociation for Information Systems
Number of pages14
ISBN (Electronic)9781733632539
Publication statusPublished - 2020
EventPacific Asia Conference on Information Systems 2020 - Dubai, United Arab Emirates
Duration: 20 Jun 202024 Jun 2020
Conference number: 24th
https://web.archive.org/web/20190610205434/http://www.pacis2020.org/ (Website)
https://aisel.aisnet.org/pacis2020/ (Proceedings)

Conference

ConferencePacific Asia Conference on Information Systems 2020
Abbreviated titlePACIS 2020
Country/TerritoryUnited Arab Emirates
CityDubai
Period20/06/2024/06/20
Internet address

Keywords

  • Adoption
  • Cloud computing
  • Cloud ERP
  • Large organisation
  • On-premise ERP

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