Cloud computing adoption assessment model (CAAM)

Cloud Computing (Clouds) is a new trend in IT, not yet widely adopted by large-scale organisations extensive IT infrastructure and complex IT processes as they find it difficult to adopt Clouds. There are technical and socio-technical challenges that need to be addressed before adoption. There is a need for an assessment framework that would assist adoption by evaluating the organisation, its key capabilities and processes affected by Clouds. The objective of this research study is to develop a model that helps organisations in assessing and improving their readiness for Cloud Computing. Primary data in this research are user concerns and issues that are barrier in the adoption of Clouds. The primary data will be collected using Systematic Literature Review (SLR) methodology. Interviews with senior executives and IT Managers are planned to validate the findings of the SLR. The anticipated outcome of this project will be Cloud Computing Adoption Assessment Model (CAAM) that will help organisations to adopt and integrate Clouds with Enterprise IT, define new capabilities, identify their organisational readiness and provide strategies for successful adoption. The case study method will be used for evaluating CAAM in conjunction with organisations willing to adopt cloud computing. Three case studies are planned to evaluate the effectiveness of CAAM in assessing organisation's readiness for the adoption of Cloud Computing.

[1]  Subhas C. Misra,et al.  Identification of a company's suitability for the adoption of cloud computing and modelling its corresponding Return on Investment , 2011, Math. Comput. Model..

[2]  R. Yin.  Case Study Research: Design and Methods , 1984 .

[3]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[4]  Neal Leavitt,et al.  Is Cloud Computing Really Ready for Prime Time? , 2009, Computer.

[5]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[6]  Sungyoung Lee,et al.  Adoption issues for cloud computing , 2009, MoMM.

[7]  Pearl Brereton,et al.  Performing systematic literature reviews in software engineering , 2006, ICSE.

[8]  Ian Sommerville,et al.  Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[9]  L. Willcocks,et al.  Core IS Capabilities for Exploiting Information Technology , 1998 .

[10]  Mingdi Xin,et al.  Software-as-a-Service Model: Elaborating Client-Side Adoption Factors , 2008, ICIS.

[11]  Christoph Heinle,et al.  IaaS Adoption Determinants in Enterprises , 2010, GECON.

[12]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[13]  Mache Creeger,et al.  CTO Roundtable , 2009, Commun. ACM.

[14]  Rongxin Chen,et al.  Technological Expansion: the Interaction Between Diversification Strategy and Organizational Capability , 1996 .

[15]  Henry E. Schaffer,et al.  X as a Service, Cloud Computing, and the Need for Good Judgment , 2009, IT Prof..

[16]  David L. Morgan,et al.  Focus groups: A new tool for qualitative research , 1984 .

[17]  Won Kim,et al.  Cloud Computing: Today and Tomorrow , 2009, J. Object Technol..

[18]  Marguerite Schneider,et al.  Phases of the Adoption of Innovation in Organizations: Effects of Environment, Organization and Top Managers , 2006 .

[19]  S. Balaji,et al.  Critical Capabilities for Offshore Outsourcing of Information Systems , 2007, MIS Q. Executive.

[20]  Pearl Brereton,et al.  Lessons from applying the systematic literature review process within the software engineering domain , 2007, J. Syst. Softw..

[21]  Pearl Brereton,et al.  Does the technology acceptance model predict actual use? A systematic literature review , 2010, Inf. Softw. Technol..

[22]  George Feuerlicht,et al.  Next Generation SOA: Can SOA Survive Cloud Computing? , 2010 .