Collaborative cloud computing adoption in Australian regional municipal government: An exploratory study

Cloud computing is seen as an increasingly important enabler for improving productivity, efficiency and cost reduction. This research aims to identify factors that are perceived likely to influence the adoption of cloud computing for Australian municipal governments. The research model draws from the technology-organization-environment (TOE) framework and the diffusion of innovation (DOI) model. The research employed in-depth interviews of Australian councils' IT managers. The main factors that were identified as playing a significant role in Australian local council's adoption of cloud services were: relative advantage, compatibility, cost, technology readiness, competitive pressure.

[1]  Michael Miller,et al.  Cloud Computing: Web-Based Applications That Change the Way You Work and Collaborate Online , 2008 .

[2]  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.

[3]  M. Patton.  Qualitative research and evaluation methods , 1980 .

[4]  P. Ellis,et al.  Marketing in Cyberspace: What Factors Drive E-Commerce Adoption? , 2004 .

[5]  Gustaf Juell-Skielse,et al.  Cloud enterprise resource planning adoption: Motives a barriers , 2012 .

[6]  Kenneth L. Kraemer,et al.  A Cross-Country Investigation of the Determinants of Scope of E-commerce Use: An Institutional Approach , 2004, Electron. Mark..

[7]  Rodney S. Tucker,et al.  Green Cloud Computing: Balancing Energy in Processing, Storage, and Transport , 2011, Proceedings of the IEEE.

[8]  System Sciences , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[9]  Varun Grover,et al.  The Initiation, Adoption, and Implementation of Telecommunications Technologies in U.S. Organizations , 1993, J. Manag. Inf. Syst..

[10]  B MilesMatthew,et al.  Qualitative Data Analysis , 2009, Approaches and Processes of Social Science Research.

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

[12]  Ashley A. Bush,et al.  A Comparison of Transaction Cost, Agency, and Knowledge-Based Predictors of IT Outsourcing Decisions: A U.S.-Japan Cross-Cultural Field Study , 2007, J. Manag. Inf. Syst..

[13]  William R. King,et al.  Organizational Characteristics and Information Systems Planning: An Empirical Study , 1994, Inf. Syst. Res..

[14]  V. Grover.  An Empirically Derived Model for the Adoption of Customer‐based Interorganizational Systems* , 1993 .

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

[16]  J. Steen,et al.  Organizing time: Internationalization narratives of executive managers , 2011 .

[17]  Jeffrey Soar,et al.  Challenges and Issues Within Cloud Computing Technology , 2014, CLOUD 2014.

[18]  Adel M. Aladwani.  A Deeper Look at the Attitude-Behavior Consistency Assumption in Information Systems Satisfaction Research , 2003, J. Comput. Inf. Syst..

[19]  Ram L. Kumar,et al.  Electronic data interchange: a multi-industry investigation using grounded theory , 1998, Inf. Manag..

[20]  Anand Jeyaraj,et al.  A review of the predictors, linkages, and biases in IT innovation adoption research , 2006, J. Inf. Technol..

[21]  Andrew E. Smith,et al.  Evaluation of unsupervised semantic mapping of natural language with Leximancer concept mapping , 2006, Behavior research methods.

[22]  Nigel Melville,et al.  Information technology innovation diffusion: an information requirements paradigm , 2008, Inf. Syst. J..

[23]  S. Cummings,et al.  A Guide to the Future of Strategy? The History of Long Range Planning , 2009 .

[24]  E. Rogers.  Diffusion of Innovations , 1962 .

[25]  Jeffrey Soar,et al.  Impact of Cloud Computing Technology on E-Government , 2014, ICIST.

[26]  Peter Kawalek,et al.  SME Adoption of Enterprise Systems in the Northwest of England - An Environmental, Technological, and Organizational Perspective , 2007, Organizational Dynamics of Technology-Based Innovation.

[27]  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..

[28]  Andrew E. Smith.  Automatic Extraction of Semantic Networks from Text using Leximancer , 2003, NAACL.

[29]  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..

[30]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[31]  C. R. Hinings,et al.  Values and Organizational Structure , 1996 .

[32]  M. M. Kamal,et al.  IT innovation adoption in the government sector: identifying the critical success factors , 2006, J. Enterp. Inf. Manag..

[33]  Wojciech Cellary,et al.  e-government based on cloud computing and service-oriented architecture , 2009, ICEGOV '09.

[34]  Arlene Parisot.  Technology and teaching : the adoption and diffusion of technological innovations by a community college faculty , 1995 .

[35]  Gordon B. Davis,et al.  Testing the Determinants of Microcomputer Usage via a Structural Equation Model , 1995, J. Manag. Inf. Syst..

[36]  Jungwoo Lee,et al.  Discriminant Analysis of Technology Adoption Behavior: A Case of Internet Technologies in Small Businesses , 2004, J. Comput. Inf. Syst..

[37]  F. Damanpour.  Organizational Innovation: A Meta-Analysis Of Effects Of Determinants and Moderators , 1991 .

[38]  Melvin B. Greer,et al.  Software as a Service Inflection Point: Using Cloud Computing to Achieve Business Agility , 2009 .

[39]  Jan Schilling.  On the Pragmatics of Qualitative Assessment Designing the Process for Content Analysis , 2006 .

[40]  R. Narasimhan.  Information Technology, Development and Policy, Edward M. Roche and Michael J. Blaine, eds, Aldershot, Avebury, UK, 1996. , 1998 .

[41]  Sigi Goode,et al.  An analysis of the business characteristics of adopters and non‐adopters of World Wide Web technology , 2000, Inf. Technol. Manag..

[42]  Chee-Sing Yap,et al.  Engagement of External Expertise in Information Systems Implementation , 1994, J. Manag. Inf. Syst..

[43]  James M. Utterback,et al.  Innovation in Industry and the Diffusion of Technology , 1974, Science.

[44]  C. Perry,et al.  Qualitative Marketing Research , 2001 .

[45]  I. Sahin.  Detailed Review of Rogers' Diffusion of Innovations Theory and Educational Technology-Related Studies Based on Rogers' Theory. , 2006 .

[46]  Izak Benbasat,et al.  Electronic Data Interchange and Small Organizations: Adoption and Impact of Technology , 1995, MIS Q..

[47]  G. Gaskell,et al.  Qualitative Researching with Text, Image and Sound , 2000 .

[48]  G. Harindranath,et al.  European Conference on Information Systems ( ECIS ) 2008 ICT in Small Firms : Factors Affecting the Adoption and Use of ICT in Southeast England SMEs , 2017 .

[49]  D. Faust.  A Needed Component in Prescriptions for Science , 1982 .

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

[51]  Goel Cohen,et al.  Technology Transfer: Strategic Management in Developing Countries , 2004 .

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

[53]  Weidong Xia,et al.  Organizational size and IT innovation adoption: A meta-analysis , 2006, Inf. Manag..

[54]  Kenneth L. Kraemer,et al.  Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies , 2006, Eur. J. Inf. Syst..

[55]  Laurie J. Kirsch,et al.  Deploying Common Systems Globally: The Dynamics of Control , 2004, Inf. Syst. Res..

[56]  Susan K. Lippert,et al.  Utilization of information technology: examining cognitive and experiential factors of post-adoption behavior , 2005, IEEE Transactions on Engineering Management.

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

[58]  Serge Abiteboul,et al.  Searching Shared Content in Communities with the Data Ring , 2009, IEEE Data Eng. Bull..

[59]  Rob Schneiderman,et al.  For Cloud Computing, the Sky Is the Limit [Special Reports] , 2011, IEEE Signal Processing Magazine.

[60]  Kenneth L. Kraemer,et al.  Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry , 2005, Inf. Syst. Res..

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

[62]  Kenneth L. Kraemer,et al.  Determinants of E-Business Use in U.S. Firms , 2006, Int. J. Electron. Commer..

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

[64]  Thompson S. H. Teo,et al.  Key Dimensions of Inhibitors for the Deployment of Web-Based Business-to-Business Electronic Commerce , 2006, IEEE Transactions on Engineering Management.

[65]  C. Perry,et al.  Convergent interviewing: a starting methodology for an enterprise research program , 2007 .

[66]  Michael Aiken,et al.  Organizational Structure, Work Process, and Proposal Making in Administrative Bureaucracies , 1980 .

[67]  James Y. L. Thong,et al.  An Integrated Model of Information Systems Adoption in Small Businesses , 1999, J. Manag. Inf. Syst..

[68]  Gary K. Hunter.  Sales technology, relationship-forging tasks, and sales performance in business markets , 1999 .

[69]  G. Zaltman,et al.  Innovations and organizations , 2020, Organizational Innovation.

[70]  G. Premkumar,et al.  Adoption of new information technologies in rural small businesses , 1999 .

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

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

[73]  C. Slappendel.  Perspectives on Innovation in Organizations , 1996 .

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

[75]  Richard Heeks,et al.  Donor-funded information technology transfer projects: evaluating the life-cycle approach in four Chinese science and technology projects , 1999 .

[76]  Hsiu-Fang Hsieh,et al.  Three Approaches to Qualitative Content Analysis , 2005, Qualitative health research.

[77]  Subhajyoti Bandyopadhyay,et al.  Cloud computing - The business perspective , 2011, Decis. Support Syst..

[78]  Robert W. Zmud,et al.  The Influence of a Convergence in Understanding Between Technology Providers and Users on Information Technology Innovativeness , 1991 .

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

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

[81]  Abhijit Chaudhury,et al.  IT Outsourcing Adoption by Small and Medium Enterprises: A Diffusion of Innovation Approach , 2008, AMCIS.

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

[83]  Everett M. Rogers,et al.  Diffusion of innovations (5. ed.) , 2003 .

[84]  Jan Schilling.  On the Pragmatics of Qualitative Assessment , 2006 .

[85]  Patrick Y. K. Chau,et al.  A perception-based model for EDI adoption in small businesses using a technology-organization-environment framework , 2001, Inf. Manag..

[86]  E. Rogers,et al.  The diffusion of interactive communication innovations and the critical mass: the adoption of telecommunications services by German banks , 1999 .

[87]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[88]  Eric W. T. Ngai,et al.  Predicting the organisational adoption of B2C e-commerce: an empirical study , 2006, Ind. Manag. Data Syst..

[89]  Tiago Oliveira,et al.  Understanding e-business adoption across industries in European countries , 2010, Ind. Manag. Data Syst..