Understanding cloud ERP adoption phenomenon: large organizational perspective

Rumana Ahmed, Mahbubur Rahim, Gillian Oliver

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

Abstract

Ushered by the emergence of cloud computing technologies in the late 2000s, cloud enterprise resource planning (ERP) systems are becoming the 'new normal' as organizations have started migrating from their on-premise ERP to the cloud environment. Consensus in the literature indicates the criticality of transition to cloud-based technologies is fraught with benefits and risks alike. Experts have advocated for extensive judgement and insights of IT decision makers, which are more applicable for large organizations. A research model, influenced by the Theory of Reasoned Action (TRA) and ambidexterity construct, has been developed to understand senior managers' decision-making process for cloud ERP adoption. Being exploratory and theory building in nature, a multi-case study method will be applied. This study is expected to contribute to innovation adoption literature as well as help in clients' better understanding for resolution of decisional dilemma for adopting a complex system like cloud ERP.

Original languageEnglish
Title of host publicationAMCIS 2020 Proceedings
EditorsKathy Chudoba, Kelly Fadel, Sue Brown
Place of PublicationAtlanta Georgia USA
PublisherAssociation for Information Systems
Number of pages5
ISBN (Electronic)9781733632546
Publication statusPublished - 2020
EventAmericas Conference on Information Systems 2020 - Virtual, Salt Lake City, United States of America
Duration: 10 Aug 202014 Aug 2020
Conference number: 26th
https://aisel.aisnet.org/amcis2020/adoption_diffusion_IT/ (Proceedings)
https://amcis2020.aisconferences.org/ (Website)

Conference

ConferenceAmericas Conference on Information Systems 2020
Abbreviated titleAMCIS 2020
Country/TerritoryUnited States of America
CitySalt Lake City
Period10/08/2014/08/20
Internet address

Keywords

  • Adoption
  • Cloud computing
  • Cloud ERP
  • Large organization

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