Analysis of the Total Cost of Ownership for Cloud Computing Technology Adoption: A Case Study of Regional Municipal Government Sector

One of the key drivers of cloud computing adoption is usage-based IT service delivery alternative to on premises IT infrastructure. Existing research supports the role of cloud computing for cost savings. We employed a mixed-method two-staged study to investigate the total cost of ownership of cloud computing in the local government sector of Queensland, Australia. The first qualitative study included 21 in-depth interviews of IT managers to understand the cost elements associated with cloud computing. This was followed by a quantitative study that analysed survey data collected from 480 IT staff across 47 local government organizations to investigate the impact of specific cost elements on cloud computing adoption. We found that cloud computing is perceived to save costs and more specifically for IT capital investments. However specific cost elements for training and operational costs may not reduce as expected. Research findings may assist to make investment decisions on cloud computing adoption.

[1]  Jose Benitez-Amado,et al.  Adoption of E-Commerce Applications in SMEs , 2011, Ind. Manag. Data Syst..

[2]  Chinyao Low,et al.  Understanding the determinants of cloud computing adoption , 2011, Ind. Manag. Data Syst..

[3]  Yu Min Wang,et al.  Understanding the determinants of RFID adoption in the manufacturing industry , 2010 .

[4]  Gary Garrison,et al.  Success factors for deploying cloud computing , 2012, CACM.

[5]  Ali Sunyaev,et al.  Determinant factors of cloud-sourcing decisions: reflecting on the IT outsourcing literature in the era of cloud computing , 2016, J. Inf. Technol..

[6]  M. Dragovic,et al.  Towards an improved measure of the Edinburgh Handedness Inventory: A one‐factor congeneric measurement model using confirmatory factor analysis , 2004, Laterality.

[7]  Alain Yee-Loong Chong,et al.  Factors affecting the Adoption Level of C-Commerce: An Empirical Study , 2009, J. Comput. Inf. Syst..

[8]  Franck Cappello,et al.  Cost-benefit analysis of Cloud Computing versus desktop grids , 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

[9]  Abdulaziz Aljabre Cloud Computing for Increased Business Value , 2012 .

[10]  Seyyed Mohsen Hashemi,et al.  Cloud computing: use cases & various applications , 2014 .

[11]  Lorraine Lee,et al.  Using cloud computing to manage costs , 2012 .

[12]  Sungyoung Lee,et al.  Adoption issues for cloud computing , 2009, iiWAS.

[13]  Viswanath Venkatesh,et al.  Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems , 2013, MIS Q..

[14]  Frédéric Thiesse,et al.  The rise of the “next‐generation bar code”: an international RFID adoption study , 2011 .

[15]  Marianne Bradford,et al.  Examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems , 2003, Int. J. Account. Inf. Syst..

[16]  Peter E.D. Love,et al.  Risks and rewards of cloud computing in the UK public sector: A reflection on three Organisational case studies , 2017, Information Systems Frontiers.

[17]  Magid Igbaria,et al.  Determinants of intranet diffusion and infusion , 2001 .

[18]  Lizhe Wang,et al.  Scientific Cloud Computing: Early Definition and Experience , 2008, 2008 10th IEEE International Conference on High Performance Computing and Communications.

[19]  Mathews Nkhoma,et al.  Contributing factors of cloud computing adoption: a technology-organisation-environment framework approach , 2013 .

[20]  Robert L. Grossman,et al.  On the Varieties of Clouds for Data Intensive Computing , 2009, IEEE Data Eng. Bull..

[21]  A. Onwuegbuzie,et al.  Mixed Methods Research: A Research Paradigm Whose Time Has Come , 2004 .

[22]  Hsiu-Fen Lin,et al.  Determinants of e-business diffusion: A test of the technology diffusion perspective , 2008 .

[23]  Feng Li,et al.  Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework , 2013, J. Enterp. Inf. Manag..

[24]  Li Yu-hui,et al.  An empirical investigation on the determinants of e-procurement adoption in Chinese manufacturing enterprises , 2008, 2008 International Conference on Management Science and Engineering 15th Annual Conference Proceedings.

[25]  Thomas F. Stafford,et al.  Online tax payment systems as an emergent aspect of governmental transformation , 2011, Eur. J. Inf. Syst..

[26]  Hsin-Chieh Wu,et al.  Determinants of RFID adoption intention: Evidence from Taiwanese retail chains , 2010, Inf. Manag..

[27]  Frank Teuteberg,et al.  Costing of Cloud Computing Services: A Total Cost of Ownership Approach , 2012, 2012 45th Hawaii International Conference on System Sciences.

[28]  Angela Lin,et al.  Cloud computing as an innovation: Percepetion, attitude, and adoption , 2012, Int. J. Inf. Manag..

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

[30]  G. Gaskell,et al.  Individual and Group Interviewing , 2000 .

[31]  Tiago Oliveira,et al.  Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors , 2014, Inf. Manag..

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

[33]  Nabil Sultan,et al.  loud computing for education : A new dawn ? , 2009 .

[34]  Tiago Oliveira,et al.  Literature Review of Information Technology Adoption Models at Firm Level , 2011 .

[35]  Alexander Stage,et al.  An economic decision model for business software application deployment on hybrid Cloud environments , 2010, MKWI.

[36]  H. Frank Cervone,et al.  An overview of virtual and cloud computing , 2010, OCLC Syst. Serv..

[37]  Hema Date,et al.  Critical Factors of Cloud Computing Adoption in Organizations: An Empirical Study , 2016 .

[38]  Dag H. Olsen,et al.  Understanding cloud computing adoption issues: A Delphi study approach , 2016, J. Syst. Softw..

[39]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[40]  Kai H. Lim,et al.  Knowledge Management Systems Diffusion in Chinese Enterprises: A Multistage Approach Using the Technology-Organization-Environment Framework , 2009, J. Glob. Inf. Manag..

[41]  S. S. Alam Adoption of internet in Malaysian SMEs , 2009 .

[42]  Jie Qiu,et al.  The Method and Tool of Cost Analysis for Cloud Computing , 2009, 2009 IEEE International Conference on Cloud Computing.

[43]  Thomas Hess,et al.  Opportunities and risks of software-as-a-service: Findings from a survey of IT executives , 2011, Decis. Support Syst..

[44]  Pei-Fang Hsu,et al.  International Journal of Information Management , 2014 .

[45]  Subhajyoti Bandyopadhyay,et al.  Cloud Computing - The Business Perspective , 2011, 2011 44th Hawaii International Conference on System Sciences.

[46]  Sang-Hyun Park,et al.  Assessing and Managing an Organization's Green IT Maturity , 2012, MIS Q. Executive.

[47]  John Hulland,et al.  Use of causal models in marketing research: A review , 1996 .