The study on firm acceptance of cloud service introduction from the innovation diffusion theory

This study combines the technology acceptance model and innovation diffusion theory and probes the acceptance of cloud computing services introduced in firms through the use of pre-decision, in-decision and post-decision stages. Based on this framework, the researcher attempts to identify whether the different stages of cloud service introduction will be influenced by cost, security, service continuity/completeness, perceived usefulness, perceived ease of use and compatibility. This study treats the information technology industry, in which there is an urgent demand for information applications, as the subject. Using a literature review and expert interviews, a questionnaire scale is constructed, and the researcher then conducts a questionnaire survey. According to the research findings, obtained using the process-oriented innovation diffusion theory and the technology acceptance model, cloud service cost, security and service continuity/completeness will influence the stages of cloud service introduction in the information technology industry.

[1]  Fethi Calisir,et al.  Understanding factors affecting e-reverse auction use: An integrative approach , 2009, Comput. Hum. Behav..

[2]  Y. Tao,et al.  Understanding business-level innovation technology adoption , 2009 .

[3]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[4]  Shakti Mishra,et al.  An ontology enhanced cloud service generic search engine , 2015, Int. J. Cloud Comput..

[5]  Prashant Palvia,et al.  The role of trust in e-commerce relational exchange: A unified model , 2009, Inf. Manag..

[6]  Alan T. Litchfield,et al.  Taxonomy for Identification of Security Issues in Cloud Computing Environments , 2018, J. Comput. Inf. Syst..

[7]  Mark Ryan,et al.  Cloud computing security: The scientific challenge, and a survey of solutions , 2013, J. Syst. Softw..

[8]  Benjamin T. Hazen,et al.  Cloud Computing in Support of Supply Chain Information System Infrastructure: Understanding When to go to the Cloud , 2013 .

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

[10]  John Ingham,et al.  Why do people use information technology? A critical review of the technology acceptance model , 2003, Inf. Manag..

[11]  Lori M. Kaufman,et al.  Can a Trusted Environment Provide Security? , 2010, IEEE Security & Privacy.

[12]  Amit P. Sheth,et al.  Semantic Modeling for Cloud Computing, Part 1 , 2010, IEEE Internet Computing.

[13]  Haralambos Mouratidis,et al.  A framework to support selection of cloud providers based on security and privacy requirements , 2013, J. Syst. Softw..

[14]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[15]  R. O’Brien,et al.  A Caution Regarding Rules of Thumb for Variance Inflation Factors , 2007 .

[16]  Miltiadis D. Lytras,et al.  Integrated system for e-health advisory web services provision using broadband networks , 2008, Int. J. Soc. Humanist. Comput..

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

[18]  Peter Woods,et al.  Predictors for E-government Adoption in Jordan: Deployment of an Empirical Evaluation Based on a Citizen-centric Approach , 2012, Inf. Technol. People.

[19]  M. Hsu,et al.  The impact of prior experience on shopping behaviors , 2012 .

[20]  Su-Chao Chang,et al.  An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry , 2008, Int. J. Medical Informatics.

[21]  Fred D. Davis A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[22]  C. Saricam Acceptance of apparel private sale sites by consumers: application of original and extended technology acceptance model , 2015 .

[23]  Robert L. Grossman,et al.  The Case for Cloud Computing , 2009, IT Professional.

[24]  Mun Y. Yi,et al.  Understanding information technology acceptance by individual professionals: Toward an integrative view , 2006, Inf. Manag..

[25]  Kar Yan Tam,et al.  Organizational adoption of open systems: a 'technology-push, need-pull' perspective , 2000, Inf. Manag..

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

[27]  Nir Kshetri,et al.  Cloud Computing in Developing Economies , 2010, Computer.

[28]  Anastasios D. Diamantidis,et al.  Factors affecting the adoption of internet banking in Greece , 2014 .

[29]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

[30]  Joseph Zubin,et al.  Fundamental statistics in psychology and education , 1943 .

[31]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[32]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

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

[34]  N. Schillewaert,et al.  Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research , 2002 .

[35]  Howard B. Lee,et al.  Foundations of Behavioral Research , 1973 .

[36]  H. Gilbert Miller,et al.  Cloud Computing: Will Commodity Services Benefit Users Long Term? , 2009, IT Professional.

[37]  Hakan Erdogmus,et al.  Cloud Computing: Does Nirvana Hide behind the Nebula? , 2009, IEEE Softw..

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

[39]  LegrisPaul,et al.  Why do people use information technology , 2003 .

[40]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[41]  Gerard H. Gaynor,et al.  Handbook of Technology Management , 1996 .

[42]  Shuang Xu,et al.  Moderating Effects of Task Type on Wireless Technology Acceptance , 2005, J. Manag. Inf. Syst..

[43]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

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

[45]  Kuo-Wei Lee,et al.  A Design of Multi-Functional Mouse Wheel and an Assessment of User Acceptance , 2009 .

[46]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .