Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach
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Rakesh D. Raut | Bhaskar B. Gardas | Pragati Priyadarshinee | Manoj Kumar Jha | M. Jha | P. Priyadarshinee
[1] P. Dhanapal Durai Dominic,et al. The factors associating the adoption of cloud computing: an enhancement of the healthcare ecosystem in Malaysia , 2014, Int. J. Bus. Inf. Syst..
[2] Wonseok Oh,et al. Influence of Industry Characteristics on Information Technology Outsourcing , 2011, J. Manag. Inf. Syst..
[3] Konstantinos N. Plataniotis,et al. Regularized discriminant analysis for the small sample size problem in face recognition , 2003, Pattern Recognit. Lett..
[4] Peter G.W. Keen,et al. Shaping the Future: Business Design Through Information Technology , 1991 .
[5] A. Barbati,et al. Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems , 2010 .
[6] Anca Ioana Andreescu,et al. Using Cloud Computing in Higher Education: A Strategy to Improve Agility in the Current Financial Crisis , 2011 .
[7] Sławomir Kłos,et al. Using the AHP Method to Select an ERP System for an SME Manufacturing Company , 2014 .
[8] Albert Sesé,et al. Designing an artificial neural network for forecasting tourism time series , 2006 .
[9] A. Bandura. The assessment and predictive generality of self-percepts of efficacy. , 1982, Journal of behavior therapy and experimental psychiatry.
[10] Ilan Oshri,et al. Management Innovation and Adoption of Emerging Technologies: The Case of Cloud Computing , 2013 .
[11] Thiagarajan Ravichandran,et al. Effect of Information Systems Resources and Capabilities on Firm Performance: A Resource-Based Perspective , 2005, J. Manag. Inf. Syst..
[12] 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..
[13] Sujeet Kumar Sharma,et al. A multi-analytical approach to understand and predict the mobile commerce adoption , 2016, J. Enterp. Inf. Manag..
[14] 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..
[15] Daniel A. Levinthal,et al. ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .
[16] Leonard M. Jessup,et al. Does electronic monitoring of employee internet usage work? , 2002, CACM.
[17] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[18] Dongho Won,et al. A Novel Approach to Analyzing for Detecting Malicious Network Activity Using a Cloud Computing Testbed , 2013, Mob. Networks Appl..
[19] Eric W. T. Ngai,et al. Predicting the organisational adoption of B2C e-commerce: an empirical study , 2006, Ind. Manag. Data Syst..
[20] Garry Wei-Han Tan,et al. Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card , 2016, Expert Syst. Appl..
[21] Mathews Nkhoma,et al. Contributing factors of cloud computing adoption: a technology-organisation-environment framework approach , 2013 .
[22] Alok Choudhary,et al. Risks in Enterprise Cloud Computing: The Perspective of it Experts , 2013, J. Comput. Inf. Syst..
[23] P. Mell,et al. The NIST Definition of Cloud Computing , 2011 .
[24] Won Kim,et al. Cloud Computing: Today and Tomorrow , 2009, J. Object Technol..
[25] Vivek Kundra,et al. Federal Cloud Computing Strategy , 2011 .
[26] Subhas C. Misra,et al. Identification of a company's suitability for the adoption of cloud computing and modelling its corresponding Return on Investment , 2011, Math. Comput. Model..
[27] Colin Camerer,et al. Not So Different After All: A Cross-Discipline View Of Trust , 1998 .
[28] J. Utterback. The Process of Technological Innovation Within the Firm , 1971 .
[29] P. Bentler,et al. Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .
[30] Sung Yul Ryoo,et al. An empirical investigation of end-users' switching toward cloud computing: A two factor theory perspective , 2013, Comput. Hum. Behav..
[31] Subhajyoti Bandyopadhyay,et al. Cloud computing - The business perspective , 2011, Decis. Support Syst..
[32] Izak Benbasat,et al. Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..
[33] Hwan-Seung Yong,et al. Ontology Matching Based on hypernym, hyponym, holonym, and meronym Sets in WordNet , 2010 .
[34] Kevin Zhu,et al. Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level , 2006, Inf. Manag..
[35] S. M. Faber,et al. POTENT Reconstruction from Mark III Velocities , 1998, astro-ph/9812197.
[36] Acklesh Prasad,et al. Governing cloud computing services: Reconsideration of IT governance structures , 2015, Int. J. Account. Inf. Syst..
[37] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[38] Anandhi S. Bharadwaj,et al. A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..
[39] 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.
[40] Alain Yee-Loong Chong,et al. Predicting Drivers of Mobile Entertainment Adoption: A Two-Stage SEM-Artificial-Neural-Network Analysis , 2016, J. Comput. Inf. Syst..
[41] Dan Liu,et al. Functional and Symbolic Values of Cloud Terminals: A Study of User Acceptance and Purchasing Behaviors , 2014, Int. J. Inf. Technol. Decis. Mak..
[42] Deborah Compeau,et al. Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..
[43] Mathews Z. Nkhoma,et al. Contributing Factors of Information Security Investments in South East Asia SMBs: A Technology- Organisational -Environment Approach , 2013, Int. J. Inf. Secur. Priv..
[44] H. Krcmar,et al. Cloud Computing – Outsourcing 2.0 or a new Business Model for IT Provisioning? , 2011 .
[45] Nadim Jahangir,et al. Effect of perceived usefulness, ease of use, security and privacy on customer attitude and adaptation in the context of E-Banking , 2007 .
[46] Henri Barki,et al. Interpersonal Conflict and Its Management in Information System Development , 2001, MIS Q..
[47] Eun-Jeong Lee,et al. Structural Equation Modeling in Rehabilitation Counseling Research , 2007 .
[48] Pei-Fang Hsu,et al. International Journal of Information Management , 2014 .
[49] N. Venkatraman,et al. Determinants of Information Technology Outsourcing: A Cross-Sectional Analysis , 2011, J. Manag. Inf. Syst..
[50] K. Gaurangkumar,et al. To Achieve Trust in the Cloud , 2012, 2012 Second International Conference on Advanced Computing & Communication Technologies.
[51] Feng Li,et al. Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework , 2013, J. Enterp. Inf. Manag..
[52] Yogesh Kumar Dwivedi,et al. Adopting An Extended UTAUT2 To Predict Consumer Adoption Of M-Technologies In Saudi Arabia , 2014, UKAIS.
[53] Young-Gul Kim,et al. Extending the TAM for a World-Wide-Web context , 2000, Inf. Manag..
[54] Icek Ajzen,et al. From Intentions to Actions: A Theory of Planned Behavior , 1985 .
[55] Kenneth L. Kraemer,et al. Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry , 2004, J. Manag. Inf. Syst..
[56] J. Adjei. Explaining the role of trust in cloud computing services , 2015 .
[57] Srikrishna Madhumohan Govindaluri,et al. Internet banking adoption in India: Structural equation modeling approach , 2014 .
[58] Garry Wei-Han Tan,et al. Understanding and predicting the motivators of mobile music acceptance - A multi-stage MRA-artificial neural network approach , 2014, Telematics Informatics.
[59] Michael D. Hogan,et al. NIST Cloud Computing Standards Roadmap , 2013 .
[60] David C. Wyld,et al. THE CLOUDY FUTURE OF GOVERNMENT IT: CLOUD COMPUTING AND THE PUBLIC SECTOR AROUND THE WORLD , 2010 .
[61] Sean Cubitt,et al. Does cloud computing have a silver lining? , 2011 .
[62] Esben Budtz-Jørgensen,et al. Structural Equation Models , 2005 .
[63] Nabil Ahmed Sultan,et al. International Journal of Information Management , 2010 .
[64] Peter A. Todd,et al. Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..
[65] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[66] I. Ajzen,et al. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .
[67] Izak Benbasat,et al. The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..
[68] H. Kelman. Compliance, identification, and internalization three processes of attitude change , 1958 .
[69] Maria Petrescu. Cloud computing and business-to-business networks , 2012, Int. J. Bus. Inf. Syst..
[70] Fred D. Davis,et al. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.
[71] Seung-Chang Lee,et al. Prediction of concrete strength using artificial neural networks , 2003 .
[72] Yu Min Wang,et al. Understanding the determinants of RFID adoption in the manufacturing industry , 2010 .
[73] Xiaodi Huang,et al. A Novel Approach for Adopting Cloud-Based E-learning System , 2012, 2012 IEEE/ACIS 11th International Conference on Computer and Information Science.
[74] Eileen Doherty,et al. Migrating to the cloud: Examining the drivers and barriers to adoption of cloud computing by SMEs in Ireland: an exploratory study , 2015 .
[75] R. W. Rogers,et al. Attitude Change and Information Integration in Fear Appeals , 1985 .
[76] Anthony D. Miyazaki,et al. Reducing online privacy risk to facilitate e‐service adoption: the influence of perceived ease of use and corporate credibility , 2010 .
[77] R. Dholakia,et al. Factors Impacting the Adoption of the Internet among SMEs , 2004 .
[78] Tobias Ackermann,et al. IT Security Risk Management: Perceived IT Security Risks in the Context of Cloud Computing , 2012 .
[79] Christoph Heinle,et al. IaaS Adoption Determinants in Enterprises , 2010, GECON.
[80] Garry Wei-Han Tan,et al. Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach , 2013, Expert Syst. Appl..
[81] Steven A. Morris,et al. Prediction of CASE adoption: a neural network approach , 2004, Ind. Manag. Data Syst..
[82] Dongsong Zhang,et al. Predicting and explaining patronage behavior toward web and traditional stores using neural networks: a comparative analysis with logistic regression , 2006, Decis. Support Syst..
[83] Seung-Hoon Chae,et al. Drivers and inhibitors of SaaS adoption in Korea , 2013, International Journal of Information Management.
[84] Kieran Conboy,et al. Factors Affecting The Adoption Of Cloud Computing: An Exploratory Study , 2013, ECIS.
[85] Fatoki Olawale,et al. Obstacles to the growth of new SMEs in South Africa: A principal component analysis approach , 2010 .
[86] Frank Teuteberg,et al. Sustaining accessibility of information through digital preservation: A literature review , 2013, J. Inf. Sci..
[87] Kieran Mathieson,et al. Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..
[88] Alain Yee-Loong Chong,et al. Predicting open IOS adoption in SMEs: An integrated SEM-neural network approach , 2014, Expert Syst. Appl..
[89] Iliya Markov,et al. Risk perception and risk management in cloud computing: Results from a case study of Swiss companies , 2013, Int. J. Inf. Manag..
[90] A. Bandura. Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.
[91] 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 .
[92] Tiago Oliveira,et al. Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors , 2014, Inf. Manag..
[93] Alexander Benlian,et al. Perceived IT Security Risks of Cloud Computing: Conceptualization and Scale Development , 2012, ICIS.
[94] Gary Garrison,et al. The effects of IT capabilities and delivery model on cloud computing success and firm performance for cloud supported processes and operations , 2015, Int. J. Inf. Manag..
[95] Daniel Indarto Prajogo,et al. The effect of TQM on performance in R&D environments: A perspective from South Korean firms , 2008 .
[96] Wayne Hu,et al. � 1999. The American Astronomical Society. All rights reserved. Printed in U.S.A. POWER SPECTRUM TOMOGRAPHY WITH WEAK LENSING , 1999 .
[97] I. Ajzen,et al. Understanding Attitudes and Predicting Social Behavior , 1980 .
[98] Lee Ung Gyu,et al. The Effect of Self-Efficacy and Service Quality on Ease of Use and Usefulness of an e-Loaming System , 2003 .
[99] Susan K. Lippert,et al. Utilization of information technology: examining cognitive and experiential factors of post-adoption behavior , 2005, IEEE Transactions on Engineering Management.
[100] Ritu Agarwal,et al. The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .
[101] Alain Yee-Loong Chong,et al. Influence of interorganizational relationships on SMEs' e-business adoption , 2009, Internet Res..
[102] Miguel de Castro Neto,et al. The Adoption of Cloud Computing by SMEs: Identifying and Coping with External Factors , 2011 .
[103] Judy E. Scott,et al. Cognitive engagement with a multimedia ERP training tool: Assessing computer self-efficacy and technology acceptance , 2009, Inf. Manag..
[104] Hashem Salarzadeh Jenatabadi,et al. A Tutorial for Analyzing Structural Equation Modelling , 2015, 1504.03430.
[105] Will Venters,et al. A critical review of cloud computing: researching desires and realities , 2012, J. Inf. Technol..
[106] Charles J. Kacmar,et al. Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..
[107] Paul A. Pavlou,et al. Building Effective Online Marketplaces with Institution-Based Trust , 2004, Inf. Syst. Res..
[108] James C. Anderson,et al. STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .
[109] J. H. Davis,et al. An Integrative Model Of Organizational Trust , 1995 .
[110] Agnes Chigona,et al. An empirical survey on domestication of ICT in schools in disadvantaged communities in South Africa , 2010 .
[111] Galit Shmueli,et al. Predictive Analytics in Information Systems Research , 2010, MIS Q..
[112] WenAn Tan,et al. A Business Process Intelligence System for Enterprise Process Performance Management , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[113] Cyro Gudolle Sobragi,et al. Cloud computing adoption: A multiple case study , 2014 .
[114] Viswanath Venkatesh,et al. Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..
[115] Theingi,et al. Service quality, satisfaction, and behavioural intentions , 2009 .
[116] Keng-Boon Ooi,et al. An SEM-artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline , 2015, Expert Syst. Appl..
[117] Alain Yee-Loong Chong,et al. A two-staged SEM-neural network approach for understanding and predicting the determinants of m-commerce adoption , 2013, Expert Syst. Appl..
[118] YoungJae Song,et al. Relative Weight Decision of Qualiy Attributes in Cloud Computing Service Using ANP , 2012 .
[119] Arumugam Seetharaman,et al. The usage and adoption of cloud computing by small and medium businesses , 2013, Int. J. Inf. Manag..
[120] Chuen-Tsai Sun,et al. Neuro-fuzzy And Soft Computing: A Computational Approach To Learning And Machine Intelligence [Books in Brief] , 1997, IEEE Transactions on Neural Networks.
[121] Shrikant Mulik,et al. An Approach for Selecting Software-as-a-Service (SaaS) Product , 2009, 2009 IEEE International Conference on Cloud Computing.
[122] 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..
[123] Chinyao Low,et al. Understanding the determinants of cloud computing adoption , 2011, Ind. Manag. Data Syst..
[124] Thomy Eko Saputro,et al. Supplier Selection Using Integrated Fuzzy TOPSIS and MCGP: A Case Study , 2014 .
[125] Alain Yee-Loong Chong,et al. A SEM-neural network approach for understanding determinants of interorganizational system standard adoption and performances , 2012, Decis. Support Syst..
[126] Angelika Dimoka,et al. What Does the Brain Tell Us About Trust and Distrust? Evidence from a Functional Neuroimaging Study , 2010, MIS Q..
[127] Sujeet Kumar Sharma,et al. Predicting motivators of cloud computing adoption: A developing country perspective , 2016, Comput. Hum. Behav..
[128] Sangjae Lee,et al. Factors affecting the implementation success of Internet-based information systems , 2007, Comput. Hum. Behav..
[129] Muniruddeen Lallmahamood,et al. An Examination of IndividualâÂÂs Perceived Security andPrivacy of the Internet in Malaysia and the Influence ofThis on Their Intention to Use E-Commerce: Using AnExtension of the Technology Acceptance Model , 2007 .
[130] B. S. Ahn,et al. ERP system selection using a simulation-based AHP approach: a case of Korean homeshopping company , 2008, J. Oper. Res. Soc..
[131] Garry Wei-Han Tan,et al. Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural Networks approach , 2014, Comput. Hum. Behav..
[132] A. Bartlett,et al. The hospitality industry culture profile: a measure of individual values, organizational culture, and person–organization fit as predictors of job satisfaction and behavioral intentions , 2002 .
[133] Wei-Wen Wu,et al. Mining significant factors affecting the adoption of SaaS using the rough set approach , 2011, J. Syst. Softw..
[134] Brad Quinn Post,et al. A Business Case Framework for Group Support Technology , 1992, J. Manag. Inf. Syst..
[135] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[136] Jin Tong,et al. NIST cloud computing standards roadmap :: version 1.0 , 2011 .
[137] Hsiu-Fen Lin,et al. Determinants of e-business diffusion: A test of the technology diffusion perspective , 2008 .
[138] Scott Shane,et al. Introduction to the Focused Issue on Entrepreneurship , 2006, Manag. Sci..
[139] Netsanet Haile,et al. Risk-Benefit-Mediated Impact of Determinants on the Adoption of Cloud Federation , 2015, PACIS.
[140] Tiago Oliveira,et al. Understanding e-business adoption across industries in European countries , 2010, Ind. Manag. Data Syst..
[141] Moez Limayem,et al. How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..
[142] Tiago Oliveira,et al. Cloud Computing Adoption by firms , 2012, MCIS.
[143] Randy H. Katz,et al. A view of cloud computing , 2010, CACM.
[144] Jin-woo Park,et al. The effect of airline service quality on passengers' behavioural intentions: a Korean case study , 2004 .
[145] Keng-Boon Ooi,et al. Knowledge management: a key determinant in advancing technological innovation? , 2013, J. Knowl. Manag..