Impacts on the Organizational Adoption of Cloud Computing: A Reconceptualization of Influencing Factors☆

Abstract The attitude towards cloud computing is influenced by multiple factors acting as drivers and barriers for its adoption. This research paper aims at the reconceptualization and operationalization of widely accepted influencing factors on technology adoption in relation to cloud computing. A literature review on technological innovation characteristics in this context is conducted to identify potential gaps in ongoing research. The review also provides an overview of relevant empirical studies on cloud computing that are based on theories for innovation adoption such as the Diffusion of Innovation (DoI) theory and the Technology Acceptance Model (TAM). Consequently, the focus is set on the examination of the factors “compatibility”, “relative advantage”, “complexity”, “image” and “security & trust”. Furthermore, an operationalization of each factor in the context of cloud computing is provided.

[1]  Nikolay Borissov,et al.  Cloud Computing – A Classification, Business Models, and Research Directions , 2009, Bus. Inf. Syst. Eng..

[2]  Eric N. Wiebe,et al.  Cloud computing adoption and usage in community colleges , 2011, Behav. Inf. Technol..

[3]  Wei-Wen Wu,et al.  Developing an explorative model for SaaS adoption , 2011, Expert Syst. Appl..

[4]  Susanne Strahringer,et al.  Nutzung interorganisationaler Informationssysteme in der Lieferkette - Einflussfaktoren und Kausalmodell , 2009 .

[5]  Lutz Kolbe,et al.  Technology Acceptance of Cloud Computing: Empirical Evidence from German IT Departments , 2012, 2012 45th Hawaii International Conference on System Sciences.

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

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

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

[9]  Hans P. Borgman,et al.  Cloudrise: Exploring Cloud Computing Adoption and Governance with the TOE Framework , 2013, 2013 46th Hawaii International Conference on System Sciences.

[10]  Thomas Hess,et al.  Drivers of SaaS-Adoption – An Empirical Study of Different Application Types , 2009, Bus. Inf. Syst. Eng..

[11]  M. Fleischer,et al.  processes of technological innovation , 1990 .

[12]  Deborah Compeau,et al.  From Prediction to Explanation: Reconceptualizing and Extending the Perceived Characteristics of Innovating , 2007, J. Assoc. Inf. Syst..

[13]  I. Ajzen The theory of planned behavior , 1991 .

[14]  Fred D. Davis User acceptance of information systems : the technology acceptance model (TAM) , 1987 .

[15]  Montri Lawkobkit,et al.  Integrating Focal Determinants of Service Fairness into Post-Acceptance Model of IS Continuance in Cloud Computing , 2012, 2012 IEEE/ACIS 11th International Conference on Computer and Information Science.

[16]  Walter Uys,et al.  The viability of cloud computing adoption in SMME's in Namibia , 2013, 2013 IST-Africa Conference & Exhibition.

[17]  Ben Light,et al.  A Critical Success Factors Model for ERP Implementation , 1999, IEEE Softw..

[18]  B. Köstner Regional climate change in rural areas - model-based tools for the derivation of adaptation measures. , 2009 .

[19]  Tharam S. Dillon,et al.  Cloud Computing: Issues and Challenges , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

[20]  Steven Walczak,et al.  Dressing Your Online Auction Business for Success: An Experiment Comparing Two eBay Businesses , 2008, MIS Q..

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

[22]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[23]  T. M. Rajkumar,et al.  An Outsourcing Acceptance Model: An Application of TAM to Application Development Outsourcing Decisions , 2008, Inf. Resour. Manag. J..

[24]  Yongbeom Kim,et al.  Cloud Computing for Education: A Case of Using Google Docs in MBA Group Projects , 2011, 2011 International Conference on Business Computing and Global Informatization.

[25]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[26]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[27]  David Schuff,et al.  Taking a flexible approach to ASPs , 2010, Commun. ACM.

[28]  Yuan Li,et al.  A Study on User Acceptance of Cloud Computing: A Multi-Theoretical Perspective , 2012, AMCIS.

[29]  Cong Wang,et al.  Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing , 2010, 2010 Proceedings IEEE INFOCOM.

[30]  J. B. Arbaugh,et al.  Is There an Optimal Design for On-Line MBA Courses? , 2005 .

[31]  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 .

[32]  Frank Teuteberg,et al.  Vertrauen im Cloud Computing , 2012, HMD Praxis der Wirtschaftsinformatik.

[33]  Sree Nilakanta,et al.  Implementation of Electronic Data Interchange: An Innovation Diffusion Perspective , 1994, J. Manag. Inf. Syst..

[34]  Elena Karahanna,et al.  Reconceptualizing Compatability Beliefs in Technology Acceptance Research , 2006, MIS Q..

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

[36]  Sung Yul Ryoo,et al.  An empirical investigation of end-users' switching toward cloud computing: A two factor theory perspective , 2013, Comput. Hum. Behav..

[37]  Rajkumar Buyya,et al.  Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities , 2008, 2008 10th IEEE International Conference on High Performance Computing and Communications.

[38]  Dietmar Nedbal,et al.  Diffusion and Acceptance of Cloud Computing in SMEs: Towards a Valence Model of Relevant Factors , 2014, 2014 47th Hawaii International Conference on System Sciences.

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

[40]  Mary C. Whitton,et al.  Using innovation diffusion theory to guide collaboration technology evaluation: work in progress , 2001, Proceedings Tenth IEEE International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises. WET ICE 2001.

[41]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..