Cloud computing adoption decision modelling for SMEs: a conjoint analysis

Cloud computing is an emerging technology that promises competitive advantages, cost savings, enhanced business processes and services, and various other benefits to enterprises. Despite the rapid technological advancement, the adoption of cloud computing is still growing slowly among small and medium-sized enterprises SMEs. This paper presents a model to support the decision-making process, using a multi-criteria decision method PAPRIKA for the socio-technical aspects influencing SMEs cloud adoption decision. Due to the multifaceted nature of the cloud computing adoption process, the evaluation of various cloud services and deployment models have become a major challenge. This paper presents a systematic approach to evaluating cloud computing services and deployment models. Subsequently, we have conducted conjoint analysis activities with five SMEs decision makers as part of the distribution process of this decision modelling based on predetermined criteria. With the help of the proposed model, cloud services and deployment models can be ranked and selected.

[1]  Lawrence W. Lan,et al.  Factors hindering acceptance of using cloud services in university: A case study , 2013, Electron. Libr..

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

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

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

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

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

[7]  Prasad Saripalli,et al.  MADMAC: Multiple Attribute Decision Methodology for Adoption of Clouds , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

[8]  Dr. Marian Carcary,et al.  The Adoption of Cloud Computing by Irish SMEs – an Exploratory Study , 2014 .

[9]  Alok Choudhary,et al.  Risks in Enterprise Cloud Computing: The Perspective of it Experts , 2013, J. Comput. Inf. Syst..

[10]  P. Mell,et al.  The NIST Definition of Cloud Computing , 2011 .

[11]  Sungyoung Lee,et al.  Adoption issues for cloud computing , 2009, MoMM.

[12]  Zhaoyi Wei,et al.  Emerging Issues in Cloud Storage Security: Encryption, Key Management, Data Redundancy, Trust Mechanism , 2014 .

[13]  E. Yeboah-Boateng,et al.  Factors Influencing the Adoption of Cloud Computing by Small and Medium Enterprises (SMEs) in Developing Economies , 2014 .

[14]  J. Abor,et al.  Issues in SME development in Ghana and South Africa , 2010 .

[15]  Pei-Fang Hsu,et al.  International Journal of Information Management , 2014 .

[16]  Victor I. Chang,et al.  A Categorisation of Cloud Computing Business Models , 2010, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing.

[17]  John A. Welsh,et al.  A Small Business is not a Little Big Business Harvard Business Review, Vol. 59, No. 4, July/August, 1981, pp.18 (9 pages , 1982 .

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

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

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

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

[22]  Ian Sommerville,et al.  Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS , 2010, 2010 IEEE 3rd International Conference on Cloud Computing.

[23]  Qiang He,et al.  A Multi Perspective Approach for Understanding the Determinants of Cloud Computing Adoption among Australian SMEs , 2016, ACIS.

[24]  Heidi Winklhofer,et al.  The Effect of Website and E-Commerce Adoption on the Relationship between SMEs and Their Export Intermediaries , 2004 .

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

[26]  Mengxiang Li,et al.  Cloud Computing Services Adoption in Australian SMEs: a Firm-Level Investigation , 2016, PACIS.

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

[28]  Computing Hilda Lawrance Efficient Qos Based Resource Scheduling Using PAPRIKA Method for Cloud , 2013 .

[29]  Mengxiang Li,et al.  Cloud computing adoption decision modelling for SMEs: From the PAPRIKA perspective , 2016 .

[30]  J. Curran,et al.  Researching the small enterprise , 2001 .

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

[32]  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.

[33]  Dimosthenis Kyriazis,et al.  Platform-as-a-Service Architecture for Real-Time Quality of Service Management in Clouds , 2010, 2010 Fifth International Conference on Internet and Web Applications and Services.

[34]  Injazz J. Chen,et al.  Understanding customer relationship management (CRM): People, process and technology , 2003, Bus. Process. Manag. J..

[35]  Mpho J. Mohlameane,et al.  The Awareness of Cloud Computing: A Case Study of South African SMEs , 2014 .

[36]  Eileen Doherty,et al.  Cloud Computing Adoption Readiness and Benefit Realization in Irish SMEs—An Exploratory Study , 2014, Inf. Syst. Manag..

[37]  Indu Saini,et al.  ERP SYSTEMS: PROBLEMS AND SOLUTION WITH SPECIAL REFERENCE TO SMALL & MEDIUM ENTERPRISES , 2012 .

[38]  Arun Anandasivam,et al.  Cloud Services from a Consumer Perspective , 2010, AMCIS.

[39]  Tiago Oliveira,et al.  Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors , 2014, Inf. Manag..

[40]  Mengxiang Li,et al.  Cloud Computing Adoption Determinants: an Analysis of Australian SMEs , 2016, PACIS.

[41]  Jim Minifie The silver lining: cloud computing and small and medium enterprises A Grattan paper , 2014 .

[42]  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.

[43]  R. Beattie Understanding Enterprise, Entrepreneurship and Small Business , 1998 .

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

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

[46]  Gottfried Vossen,et al.  SaaS cloud computing in small and medium enterprises: a comparison between Germany and New Zealand , 2015, Int. J. Inf. Technol. Commun. Convergence.

[47]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[48]  Wei-Tek Tsai,et al.  Towards a scalable and robust multi-tenancy SaaS , 2010, Internetware.

[49]  Gaizka Garechana,et al.  New Management Models Based in Cloud-Computing , 2012 .

[50]  Rob Schneiderman,et al.  For Cloud Computing, the Sky Is the Limit [Special Reports] , 2011, IEEE Signal Processing Magazine.

[51]  V. Kavitha,et al.  A survey on security issues in service delivery models of cloud computing , 2011, J. Netw. Comput. Appl..

[52]  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..