Cloud computing adoption decision modelling for SMEs: From the PAPRIKA perspective

The popularity of cloud computing has been growing among enterprises since its inception. It is an emerging technology which promises competitive advantages, significant cost savings, enhanced business processes and services, and various other benefits. The aim of this paper is to propose a decision modelling using Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) for the factors that have impact in SMEs cloud computing adoption process.

[1]  E. Laird Landon,et al.  Order Bias, the Ideal Rating, and the Semantic Differential , 1971 .

[2]  W. D. Perreault.  CONTROLLING ORDER-EFFECT BIAS , 1975 .

[3]  Ward Edwards,et al.  How to Use Multiattribute Utility Measurement for Social Decisionmaking , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[4]  S. Wilson.  Methods for the economic evaluation of health care programmes , 1987 .

[5]  Thomas L. Saaty,et al.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[6]  Narasimha Bolloju,et al.  Aggregation of analytic hierarchy process models based on similarities in decision makers' preferences , 2001, Eur. J. Oper. Res..

[7]  Ernest H. Forman,et al.  Decision By Objectives: How To Convince Others That You Are Right , 2001 .

[8]  David L. Olson,et al.  Ordinal judgments in multiattribute decision analysis , 2002, Eur. J. Oper. Res..

[9]  Thomas L. Saaty,et al.  DECISION MAKING WITH THE ANALYTIC HIERARCHY PROCESS , 2008 .

[10]  Mandy Ryan,et al.  Using discrete choice experiments to value health care programmes: current practice and future research reflections. , 2003, Applied health economics and health policy.

[11]  R. Baltussen,et al.  Priority setting of health interventions: the need for multi-criteria decision analysis , 2006, Cost effectiveness and resource allocation : C/E.

[12]  P. Hansen,et al.  A new method for scoring additive multi‐attribute value models using pairwise rankings of alternatives , 2008 .

[13]  David J. Weiss,et al.  How to Use Multiattribute Utility Measurement for Social Decisionmaking , 2008 .

[14]  David J. Weiss,et al.  SMARTS and SMARTER: Improved Simple Methods for Multiattribute Utility Measurement , 2008 .

[15]  Magdalene Marinaki,et al.  An evolutionary approach to construction of outranking models for multicriteria classification: The case of the ELECTRE TRI method , 2009, Eur. J. Oper. Res..

[16]  Shrikant Mulik,et al.  An Approach for Selecting Software-as-a-Service (SaaS) Product , 2009, 2009 IEEE International Conference on Cloud Computing.

[17]  Eui-nam Huh,et al.  Efficient service recommendation system for cloud computing market , 2009, ICIS.

[18]  Xiaowei Yang,et al.  CloudCmp: comparing public cloud providers , 2010, IMC '10.

[19]  Damaraju Raghavarao,et al.  Choice-Based Conjoint Analysis: Models and Designs , 2010 .

[20]  Trudy Ann Cameron,et al.  Differential Attention to Attributes in Utility-theoretic Choice Models , 2010 .

[21]  Bernd Carsten Stahl,et al.  The Ethics of Cloud Computing: A Conceptual Review , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[22]  Farookh Khadeer Hussain,et al.  Towards Multi-criteria Cloud Service Selection , 2011, 2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[23]  Tiago Oliveira,et al.  Literature Review of Information Technology Adoption Models at Firm Level , 2011 .

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

[25]  Mary Tate,et al.  A Descriptive Literature Review and Classification of Cloud Computing Research , 2012, Commun. Assoc. Inf. Syst..

[26]  Will Venters,et al.  A critical review of cloud computing: researching desires and realities , 2012, J. Inf. Technol..

[27]  T. Sullivan.  Using MCDA (Multi-Criteria Decision Analysis) to prioritise publicly-funded health care , 2012 .

[28]  Robert T. Clemen,et al.  Making Hard Decisions with DecisionTools , 2013 .

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

[30]  Rania Fahim El-Gazzar,et al.  A Literature Review on Cloud Computing Adoption Issues in Enterprises , 2014, TDIT.

[31]  P. Amer,et al.  Approaches to formulating practical breeding objectives for animal production systems , 2014 .

[32]  J. Pryce,et al.  Analyzing the heterogeneity of farmers' preferences for improvements in dairy cow traits using farmer typologies. , 2015, Journal of dairy science.

[33]  A. Ogdie,et al.  Development of Preliminary Remission Criteria for Gout Using Delphi and 1000Minds Consensus Exercises , 2016, Arthritis care & research.

[34]  Alexander Schwartz,et al.  Decision Analysis And Behavioral Research , 2016 .

[35]  Vidal Díaz de Rada Igúzquiza,et al.  Internet, Phone, Mail and Mixed-Mode Surveys: The Tailored Design Method. Don A. Dillman, Jolene D. Smyth y Leah Melani Christian. (New Jersey, John Wiley and Sons, 2014) , 2016 .