Migrating to the cloud: Lessons and limitations of 'traditional' is success models

Imran Khan, Mike Lewis, Theo Tryfonas

Research output: Contribution to conferenceConference Paperpeer-review

11 Citations (Scopus)

Abstract

This paper uses the 'traditional' Information Systems (IS) success model literature (e.g. Grover, DeLone and McLean, Seddon, Alter etc.) as the starting point for developing a new model intended to support better outcomes when migrating/porting an IS functionality to a cloud. In simple terms 'cloud' refers to an IS functionality accessed (rented) by users through a thin client (web browser, mobile applications, etc.) while the software, hardware and data are stored on remote servers. Its popularity as an approach reflects claims that such 'shared resources' model (akin to a utility like the electricity grid) will allow organisation to access more advanced and flexible IS services at a lower aggregate cost. This paper argues that cloud migration requires organisations to consider a range of additional success factors, including how to accommodate new delivery modes (e.g. different pricing models) and manage new risks (e.g. data out side organisational firewalls, etc). Despite burgeoning interest in the topic, specific empirical research and, more importantly, specific practitioner guidance remains limited. This paper therefore concludes by presenting a preliminary conceptual model (informed by Systems Thinking) along with steps to operationalise it and suggests empirical options to test this model.

Original languageEnglish
Pages737-746
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2013
Event11th Annual Conference on Systems Engineering Research, CSER 2013 - Atlanta, GA, United States
Duration: 19 Mar 201322 Mar 2013

Conference

Conference11th Annual Conference on Systems Engineering Research, CSER 2013
Country/TerritoryUnited States
CityAtlanta, GA
Period19/03/1322/03/13

Keywords

  • Cloud computing
  • Cloud success metrics
  • Complex systems
  • High-tech technology service provider
  • Information systems
  • Measuing cloud success
  • Success model
  • System thinking

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