Cloud computing adoption model for e-government implementation

Cloud computing essentially is a scalable, flexible and pay-per-use model for the way IT services are delivered. It can significantly improve the way a government functions, the services it provides to its citizens and institutions. This paper aims to explore the factors that influence adopting cloud computing as a part of public sector organizations’ alternatives to implement e-government services. Based on two dominant theories in the field of adoption of new technology, the Fit-Viability Model and Diffusion of Innovation Theory, a model is proposed. Data were gathered using a structured questionnaire with a sample of 296 IT staff employed in public organizations in Yemen. The results clarify the need to consider factors affecting two dimensions, fit and viability, to make a decision to adopt cloud computing in an e-government context. The fitness of cloud computing to e-government tasks is affected by factors such as relative advantage, compatibility, trialability and security, but is not affected by the complexity of the technology. On the other hand, the viability is influenced by economic factors (return on investment and asset specificity) and technological readiness (IT infrastructure and IT policy and regulations), while the results do not support the relation between the organizational factors such as top management support and cloud knowledge and viability.

[1]  S. S. Alam,et al.  An Empirical Study of Factors Affecting Electronic Commerce Adoption among SMEs in Malaysia , 2011 .

[2]  Rama Krushna Das,et al.  Adoption of Cloud Computing in e-Governance , 2011 .

[3]  F. Knight The economic nature of the firm: From Risk, Uncertainty, and Profit , 2009 .

[4]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

[5]  Binshan Lin,et al.  Adoption of mobile technology in business: a fit-viability model , 2007, Ind. Manag. Data Syst..

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

[7]  Shuguang Suo,et al.  Cloud implementation in organizations: Critical success factors, challenges, and impacts on the it function , 2013 .

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

[9]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[10]  Roger Bennett,et al.  Retailers' preparedness for the introduction of third wave (ubiquitous) computing applications: A survey of UK companies , 2011 .

[11]  R. Zmud Diffusion of Modern Software Practices: Influence of Centralization and Formalization , 1982 .

[12]  Mark John Taylor,et al.  E-Government Information Systems and Cloud Computing (Readiness and Analysis) , 2011, 2011 Developments in E-systems Engineering.

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

[14]  Y. Alshamaila,et al.  An empirical investigation of factors affecting cloud computing adoption among SMEs in the North East of England , 2013 .

[15]  Hsin-Pin Fu,et al.  An analysis of the factors affecting the adoption of cloud consumer relationship management in the machinery industry in Taiwan , 2016 .

[16]  Dale L. Goodhue,et al.  Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Inf , 1998 .

[17]  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.

[18]  Steve Drew,et al.  Challenges of e-Government Services Adoption in Saudi Arabia from an e-Ready Citizen Perspective , 2010 .

[19]  Margaret Tan,et al.  Exploring organizational adoption of cloud computing in Singapore , 2012 .

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

[21]  Elisabeth J. Umble,et al.  Enterprise resource planning: Implementation procedures and critical success factors , 2003, Eur. J. Oper. Res..

[22]  Md. Javed Hossain,et al.  CLOUD COMPUTING TECHNOLOGY IN BANGLADESH: A FRAMEWORK OF SOCIAL &ECONOMIC DEVELOPMENT , 2015 .

[23]  Thompson S. H. Teo,et al.  Knowledge portals in Chinese consulting firms: a task–technology fit perspective , 2008, Eur. J. Inf. Syst..

[24]  Hsing Kenneth Cheng,et al.  An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences , 2007, Decis. Support Syst..

[25]  Michael S. Killaly I Can, But I Won't: An Exploratory Study on People and New Information Technologies in the Military , 2011 .

[26]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[27]  Dong Li,et al.  Study on E-Government Virtual Information Service Center Model Based on Cloud Computing , 2014 .

[28]  Kuk-Hwan Jeong,et al.  E-Government, The Road to Innovation ; Principles and Experiences in Korea , 2006 .

[29]  Efraim Turban,et al.  A Framework for Adopting Collaboration 2.0 Tools for Virtual Group Decision Making , 2011 .

[30]  Thompson S. H. Teo,et al.  Pacific Asia Conference on Information Systems ( PACIS ) 9 July 2011 E-Government , E-Business , And National Environmental Performance , 2017 .

[31]  M. Abeywickrama,et al.  Public organizations flying in the cloud : A case study of cloud computing value creation in Moldova central public administration , 2015 .

[32]  Harjit Singh TECHNOLOGY TRANSFER MODEL TO MIGRATE E-GOVERNANCE TO CLOUD COMPUTING , 2012 .

[33]  Li Bo Study on massive e-government data cloud storage scheme based on Hadoop , 2013, 2013 IEEE 4th International Conference on Software Engineering and Service Science.

[34]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[35]  Kent D. Miller A Framework for Integrated Risk Management in International Business , 1992 .

[36]  Kenneth L. Kraemer,et al.  The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business , 2006, Manag. Sci..

[37]  Guilherme D Pires,et al.  Testing of a model evaluating e-Government portal acceptance and satisfaction , 2010 .

[38]  Saeed Badshah,et al.  Vibration Analysis of an Ocean Current Turbine Blade , 2012 .

[39]  Ashish Rastogi,et al.  A Model based approach to Implement Cloud Computing in E-Governance , 2010 .

[40]  Maha Attia Hana,et al.  E-government cloud computing proposed model: Egyptian E_Government Cloud Computing , 2013, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[41]  Hrishikesh Trivedi Cloud computing adoption model for governments and large enterprises , 2013 .

[42]  Arumugam Seetharaman,et al.  The usage and adoption of cloud computing by small and medium businesses , 2013, Int. J. Inf. Manag..

[43]  Stephen M. Mutula,et al.  An evaluation of e-readiness assessment tools with respect to information access: Towards an integrated information rich tool , 2006, Int. J. Inf. Manag..

[44]  Samiul Islam,et al.  E-government based on cloud computing with rational inference agent , 2011, 8th International Conference on High-capacity Optical Networks and Emerging Technologies.

[45]  David C. Yen,et al.  An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital , 2014, Int. J. Inf. Manag..

[46]  Alemayehu Hailu,et al.  Factors influencing cloud-computing technology adoption in developing countries , 2012 .

[47]  France Bélanger,et al.  The utilization of e‐government services: citizen trust, innovation and acceptance factors * , 2005, Inf. Syst. J..

[48]  Yogesh Kumar Dwivedi,et al.  Analysing challenges, barriers and CSF of egov adoption , 2013 .

[49]  Chih-Ping Wei,et al.  Introduction to the Special Issue: Mobile Commerce Applications , 2004, Int. J. Electron. Commer..

[50]  Susan K. Lippert,et al.  A supply chain study of technology trust and antecedents to technology internalization consequences , 2006 .

[51]  Othman Ibrahim,et al.  Models of Adopting Cloud Computing in the E-Government Context: A Review , 2015 .

[52]  T. Lam,et al.  A study of hotel employee behavioral intentions towards adoption of information technology , 2007 .

[53]  Gadadhar Sahoo,et al.  Cloud Computing: Future Framework for e-Governance , 2010 .

[54]  Woan-Yuh Jang,et al.  Determinants of the Adoption of Enterprise Resource Planning within the Technology-Organization-Environment Framework: Taiwan's Communications Industry , 2008, J. Comput. Inf. Syst..

[55]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[56]  Farid Shirazi,et al.  Factors Influencing the Adoption of Cloud Computing by Small and Medium Size Enterprises (SMEs) , 2014, HCI.

[57]  Christian Wagner,et al.  Critical success factors revisited: success and failure cases of information systems for senior executives , 2001, Decis. Support Syst..

[58]  Virginia Watson Ross,et al.  Factors influencing the adoption of cloud computing by decision making managers , 2010 .

[59]  Suck-hyun Song,et al.  A study on method deploying efficient cloud service framework in the public sector , 2013, 2013 15th International Conference on Advanced Communications Technology (ICACT).

[60]  Rajiv Ranjan Singh,et al.  E-GOVERNANCE & CLOUD COMPUTING: TECHNOLOGY ORIENTED GOVERNMENT POLICIES , 2012 .

[61]  Princely Ifinedo,et al.  An Empirical Analysis of Factors Influencing Internet/E-Business Technologies Adoption by SMEs in Canada , 2011, Int. J. Inf. Technol. Decis. Mak..

[62]  Jian Liang,et al.  Government Cloud: Enhancing Efficiency of E-Government and Providing Better Public Services , 2012, 2012 International Joint Conference on Service Sciences.

[63]  Aprna Tripathi,et al.  E-Governance challenges and cloud benefits , 2011, 2011 IEEE International Conference on Computer Science and Automation Engineering.

[64]  Jian Liang,et al.  Integrating Local E-Governments of China to Provide Better Public Services Based on Cloud Computing , 2013 .

[65]  D. G. Chandra,et al.  Cloud Computing Model for National E-governance Plan (NeGP) , 2012, 2012 Fourth International Conference on Computational Intelligence and Communication Networks.

[66]  Heng Wang,et al.  An integrated approach to developing a successful one-stop portal e-government , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[67]  Dong-Hee Shin,et al.  User centric cloud service model in public sectors: Policy implications of cloud services , 2013, Gov. Inf. Q..

[68]  Ali A. Al-wazir,et al.  E-government Development in Yemen: Assessment and Solutions , 2012 .

[69]  Ilze Zigurs,et al.  A Theory of Task/Technology Fit and Group Support Systems Effectiveness , 1998, MIS Q..

[70]  Hasan Nuseibeh,et al.  AIS Electronic Library (AISeL) , 2022 .

[71]  Tjan Ak,et al.  Finally, a way to put your Internet portfolio in order. , 2001 .

[72]  Chee-Chuong Sum,et al.  A multiple-case design methodology for studying MRP success and CSFs , 2002, Inf. Manag..

[73]  Hajed Al-Rashidi,et al.  The role of internal stakeholders and influencing factors during the phases of e-government initiative implementation , 2013 .

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

[75]  Wynne W. Chin How to Write Up and Report PLS Analyses , 2010 .