Cloud Services from a Consumer Perspective

Although there is an increased attention on Cloud Computing in the academic literature in the recent years, most research work focus on technical aspects of cloud computing. Research on consumers’ preferences for cloud services is limited to studies from consulting and industry companies. This paper fills the gap by empirically identifying consumer preferences for cloud service attributes. Using conjoint methods we reveal the relative importance of different attributes of cloud services. The results help both practitioners and academic researchers to better understand the prerequisites of a successful market

[1]  E GreenPaul,et al.  Thirty Years of Conjoint Analysis , 2001 .

[2]  Kim Bartel Sheehan,et al.  E-mail Survey Response Rates: A Review , 2006, J. Comput. Mediat. Commun..

[3]  C. Perry,et al.  A customer‐oriented new service development process , 2002 .

[4]  L. Youseff,et al.  Toward a Unified Ontology of Cloud Computing , 2008, 2008 Grid Computing Environments Workshop.

[5]  Randy H. Katz,et al.  Above the Clouds: A Berkeley View of Cloud Computing , 2009 .

[6]  Christoph Breidert,et al.  Estimation of willingness-to-pay. Theory, measurement, and application. , 2005 .

[7]  San Francisco 2009 CLOUD COMPUTING TRENDS REPORT , 2009 .

[8]  Peter E. Rossi,et al.  Bayesian Statistics and Marketing , 2005 .

[9]  B. Skiera,et al.  Paying Too Much and Being Happy about It: Existence, Causes, and Consequences of Tariff-Choice Biases , 2006 .

[10]  Christof Weinhardt,et al.  Business Models in the Service World , 2009, IT Professional.

[11]  Doug Johnson,et al.  Computing in the Clouds. , 2010 .

[12]  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 .

[13]  Gerard Briscoe,et al.  Digital ecosystems in the clouds: Towards community cloud computing , 2009, 2009 3rd IEEE International Conference on Digital Ecosystems and Technologies.

[14]  F. Quatraro,et al.  Economics of Information and Communication Technology , 2008 .

[15]  Jordan J. Louviere,et al.  Quick and easy choice sets: Constructing optimal and nearly optimal stated choice experiments , 2005 .

[16]  Chris Rose,et al.  A Break in the Clouds: Towards a Cloud Definition , 2011 .

[17]  Sonja Gensler Ermittlung von Präferenzen für Produkteigenschaften mit Hilfe der Choice-Based Conjoint Analyse (Teil II) , 2006 .

[18]  Jordan J. Louviere,et al.  Design and Analysis of Simulated Consumer Choice or Allocation Experiments: An Approach Based on Aggregate Data , 1983 .

[19]  Mladen A. Vouk,et al.  Cloud Computing – Issues, Research and Implementations , 2008, CIT 2008.

[20]  P. Green,et al.  Thirty Years of Conjoint Analysis: Reflections and Prospects , 2001 .

[21]  M. Wedel,et al.  The No—Choice Alternative in Conjoint Choice Experiments , 2001 .

[22]  Paul E. Green,et al.  Thirty Years of Conjoint Analysis: Reflections and Prospects , 2001, Interfaces.

[23]  R. Weiber,et al.  Auswahl von Eigenschaften und Ausprägungen bei der Conjointanalyse , 2009 .