IT personnel perspective of the slow adoption of cloud computing in public sector: Case study in Oman

The ability to provide public eservices has tremendously increased with the rapid advancements and development of the IT infrastructure and the availability of internet. The aim to ensure the scalability, flexibility and feasibility to meet the IT infrastructure demands which can be achieved with the Cloud Computing technology. Therefore, the perspective of the IT personnel, working in Oman public sector organizations, becomes imperative towards understanding the factors that impact the willingness to adopt Cloud Computing technology. This research aims to understand whether an IT personnel's perspective is an influencing factor in the slowness of the adoption of Cloud Computing. And also whether the influencing factors are an outcome of individual characteristics of the IT personnel or an outcome of the characteristics of the technology itself. The authors examine the factors and build a research model that integrates the two types of factors; those that relate to the individual characteristics of IT personnel (Human-related factors) and those that relate to the IT personnel's perception of various characteristics of the Cloud Computing technology (system-related factors). This study is based on quantitative approach wherein the online survey is applied for collecting the information. The findings of this study will reveal and highlight the IT personnel perspective as a factor faced by Oman public sector organizations in the slow adoption of cloud computing technology.

[1]  Noriaki Izumi,et al.  Cloudsourcing: Managing Cloud Adoption , 2011 .

[2]  W. Neuman,et al.  Social Research Methods: Qualitative and Quantitative Approaches , 2002 .

[3]  Hwan-Seung Yong,et al.  Ontology Matching Based on hypernym, hyponym, holonym, and meronym Sets in WordNet , 2010 .

[4]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[5]  H. Russell Bernard,et al.  Social Research Methods: Qualitative and Quantitative Approaches , 2000 .

[6]  Christopher S. Yoo,et al.  Cloud Computing: Architectural and Policy Implications , 2011 .

[7]  Michał Polasik,et al.  Empirical Analysis of Internet Banking Adoption in Poland , 2008 .

[8]  Dimitrios Zissis,et al.  Addressing cloud computing security issues , 2012, Future Gener. Comput. Syst..

[9]  Paul T. Jaeger,et al.  Identifying the security risks associated with governmental use of cloud computing , 2010, Gov. Inf. Q..

[10]  Gi Mun Kim,et al.  Understanding dynamics between initial trust and usage intentions of mobile banking , 2009, Inf. Syst. J..

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

[12]  Cheolho Yoon,et al.  Antecedents of customer satisfaction with online banking in China: The effects of experience , 2010, Comput. Hum. Behav..

[13]  R. Scheines,et al.  Organizational Behavior and Human Decision Processes , 1977 .

[14]  S. Sackmann.  Cultural Knowledge in Organizations: Exploring the Collective Mind , 1991 .

[15]  Detmar W. Straub,et al.  Testing the technology acceptance model across cultures: A three country study , 1997, Inf. Manag..

[16]  S. Kale,et al.  Consumer perceptions of Internet banking in Finland: The moderating role of familiarity , 2008 .

[17]  David C. Wyld,et al.  THE CLOUDY FUTURE OF GOVERNMENT IT: CLOUD COMPUTING AND THE PUBLIC SECTOR AROUND THE WORLD , 2010 .

[18]  Adel M. Aladwani.  Online banking: a field study of drivers, development challenges, and expectations , 2001, Int. J. Inf. Manag..

[19]  A. Bandura.  Social Foundations of Thought and Action , 1986 .

[20]  Jeffrey M. Voas,et al.  Cloud Computing , 2013, IT Prof..

[21]  Andrew Whinston,et al.  Electronic Commerce: A Manager's Guide , 1997 .

[22]  Robert Agranoff,et al.  Human Services Integration: Past and Present Challenges in Public Administration , 1991 .

[23]  Vallabh Sambamurthy,et al.  Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment , 2000, Inf. Syst. Res..

[24]  Nicholas Walliman,et al.  Social research methods , 2006 .

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

[26]  Young-Gul Kim,et al.  Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..

[27]  Mun Y. Yi,et al.  Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model , 2003, Int. J. Hum. Comput. Stud..

[28]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

[29]  Fred D. Davis,et al.  Development and Test of a Theory of Technological Learning and Usage , 1992 .

[30]  Dimosthenis Kyriazis,et al.  Service Selection Decision Support in the Internet of Services , 2010, GECON.

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

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

[33]  Elsevier Sdol.  International Journal of Human-Computer Studies , 2009 .

[34]  Paul T. Jaeger,et al.  Cloud Computing and Information Policy: Computing in a Policy Cloud? , 2008 .