Cloud computing adoption: An empirical study of customer preferences among start-up companies

Electronic Markets

Volumn 23, Issue 2, 2013, Pages 115-148

  Repschlaeger, Jonas ^a   Erek, Koray ^a   Zarnekow, Ruediger ^a  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

Author keywords

Cloud adoption; Cloud computing; Customer preferences; Customer segmentation; Provider properties; Start up companies

Indexed keywords

EID: 84878606418     PISSN: 10196781     EISSN: 14228890     Source Type: Journal    
DOI: 10.1007/s12525-012-0119-x     Document Type: Article

References (52)

1. Backhaus, K., Erichson, B., Plinke, W., & Weiber, R. (2006). Multivariate Analysemethoden. Eine anwendungsorientierte Einführung (11th ed.). Berlin: Springer.
2. Benlian, A. (2009). A transaction cost theoretical analysis of Software-as-a-Service (SaaS)-based sourcing in SMBs and enterprises. Proceedings of the European Conference on Information Systems 2009.
3. Benlian, A., Hess, T., & Buxmann, P. (2009). Drivers of SaaS-adoption - an empirical study of different application types. Business & Information Systems Engineering, 1(5), 357-369.
4. Benlian, A., Koufaris, M., & Hess, T. (2010). The role of SaaS service quality for continued SaaS use: Empirical insights from SaaS using firms. Proceedings of the International Conference on Information Systems 2010.
5. Brosius, F. (2006). SPSS 14 (1st ed.). Heidelberg: Mitp-Verlag.
6. Clemons, E. K., & Chen, Y. (2011). Making the decision to contract for cloud services: Managing the risk of an extreme form of IT outsourcing. Proceedings of the Hawaii International Conference on System Sciences 2011.
7. Eckey, H.-F., Kosfeld, R., & Rengers, M. (2002). Multivariate Statistik. Grundlagen, Methoden, Beispiele. Wiesbaden: Gabler.
8. European Commission (2009). On the implementation of Commission Recommendation of 6 May 2003 concerning the definition of micro, small and medium-sized enterprise. Commission Staff Working Document, European Comission, http://ec.europa.eu/enterprise/policies/sme/files/sme-definition/ sme-report-2009-en.pdf
9. Field, A. (2009). Discovering statistics using SPSS (3rd ed.). Sage Publications.
10. Finch, H. (2006). Comparison of the performance of varimax and promax rotations: factor structure recovery for dichotomous items. Journal of Educational Measurement, 43(1), Article first published online: 9. Jan 2006.
11. Fridgen, G., & Mueller, H.-V. (2011). An approach for portfolio selection in multi-vendor IT outsourcing. Proceedings of the International Conference on Information Systems 2011.
12. Frochot, I., & Morrison, A. M. (2000). Benefit segmentation: a review of its applications to travel and tourism research. Journal of Travel and Tourism Marketing, 9(4), 21-45.
13. Geczy, P., Izumi, N., & Hasida, K. (2012). Cloudsourcing: managing cloud adoption. Global Journal of Business Research, 6(2), 57-70.
14. Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis. Pearson (6th ed.). Upper Saddle River: Prentice Hall.
15. Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modelling. SAS Institute.
16. Hetzenecker, J., Kammerer, S., Zeiler, V., & Amberg, M. (2012). Anforderungen an cloud computing Anbieter. Proceedings of the Multikonferenz Wirtschaftsinformatik 2012, Braunschweig.
17. Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75-105.
18. Iyer, B., & Henderson, J. C. (2010). Preparing for the future: understanding the seven capabilities of cloud computing. MIS Quarterly Executive, 9(2), 117-131.
19. Jain, A. K., Murty, M. N., & Flynn, P. J. (1999). Data clustering: a review. ACM Computing Surveys, 31(3), 264-323.
20. Janssen, M., & Joha, A. (2011). Challenges for adopting cloud-based Software as a Service (SaaS) in the public sector. Proceedings of the European Conference on Information Systems 2011
21. Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
22. Kaisler, S. (2011). Service migration in a cloud architecture. Proceedings of the Hawaii International Conference on System Sciences 2011.
23. Kaisler, S., Money, W. H., & Cohen, S. J. (2012). A decision framework for cloud computing. Proceedings of the Hawaii International Conference on System Sciences 2012.
24. Katzmarzik, A. (2011). Product differentiation for Software-as-a-Service providers. Business & Information Systems Engineering, 3(1), 19-31.
25. Ketchen, D. J., & Shook, C. L. (1996). The application of cluster analysis in strategic management research: an analysis and critique. Strategic Management Journal, 17(6), 441-458.
26. Kim, J. O., & Mueller, C. W. (1978). Factor analysis: Statistical methods and pracrical issues (Sage University Paper Series on Quantitative Applications in the Social Sciences). Beverly Hills: Sage Publications.
27. Koehler, P., Anandasivam, A., & Dan, M.A. (2010a). Cloud services from a consumer perspective cloud services from a consumer perspective. Proceedings of the Americas Conference on Information Systems 2010.
28. Koehler, P., Anandasivam, A., Dan, M. A., & Weinhardt, C. (2010b). Customer heterogeneity and tariff biases in cloud computing. Proceedings of the International Conference on Information Systems 2010.
29. Leavitt, N. (2009). Is cloud computing really ready for prime time? Computer, 42(1), 15-20.
30. Leimeister, S. (2010). IT outsourcing governance: Client types and their management strategies. PhD-thesis, Gabler Verlag.
31. Leimeister, S., Boehm, M., Riedl, C., & Krcmar, H. (2010). The business perspective of cloud computing: Actors, roles and value networks. Proceedings of the European Conference on Information Systems 2010.
32. Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006-1023.
33. Luoma, E., & Nyberg, T. (2011). Four scenarios for adoption of cloud computing in China. Proceedings of the European Conference on Information Systems 2011.
34. Mahesh, S., Landry, B. J. L., Sridhar, T., & Walsh, K. R. (2011). A decision table for the cloud computing decision in small business. Information Resources Management Journal, 24(3), 9-25.
35. Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing - the business perspective. Decision Support Systems, 51(1), 176-189.
36. Martens, B., & Teuteberg, F. (2011). Risk and compliance management for cloud computing services: Designing a reference model. Proceedings of the Americas Conference on Information Systems 2011.
37. Martens, B., Teuteberg, F., & Graeuler, M. (2011). Design and implementation of a community platform for the evaluation and selection of cloud computing services: a market analysis. Proceedings of the European Conference on Information Systems 2011.
38. Milligan, G. W., & Cooper, M. C. (1985). An examination of procedures for determining the number of clusters in a data set. Psychometrika, 50(2), 159-179.
39. Nuseibeh, H. (2011). Adoption of cloud computing in organizations. Proceedings of the Americas Conference on Information Systems 2011.
40. OECD (2009). Measuring entrepreneurship - A collection of indicators. OECD-Eurostat Entrepreneurship Indicators Programme (EIP).
41. Ponemon Institute (2011). Security of cloud computing providers study. Ponemon Institute, Research Report.
42. Punj, G., & Stewart, D. W. (1983). Cluster analysis in marketing research: review and suggestions for application. Journal of Marketing Research, 20(2), 134-148.
43. Ramireddy, S., Chakraborthy, R., Raghu, T. S., & Rao, H. R. (2010). Privacy and security practices in the arena of cloud computing - a research in progress. Proceedings of the Americas Conference on Information Systems 2010.
44. Robinson, J. P., Shaver, P. R. & Wrightsman, L. S. (1991). Criteria for scale selection and evaluation. In J. P. Robinson, P. R. Shaver, & L. S. Wrightsman (Eds.), Measures of personality and social psychological attitudes. San Diego: Academic Press.
45. Son, I., & Lee, D. (2011). Assessing a new IT service model, cloud computing. Proceedings of the Pacific Asia Conference on Information Systems 2011.
46. Staten, J., Yates, S., & Echols, B. (2009). TechRadar for infrastructure & operations professionals: cloud computing, Q3, Forrester report.
47. Tabachnick, B. G., & Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Needham Heights: Ally and Bacon.
48. T-Systems (2009). White paper cloud computing I - Alternative sourcing strategy for business ICT. T-Systems Enterprise Services GmbH, White Paper, Frankfurt, 14-16.
49. Vehlow, M., & Golkowsky, C. (2010). Cloud computing - Navigating the Cloud. PwC market study, Published by PricewaterhouseCoopers AG: Frankfurt.
50. Weiss, D. (1976). Multivariate procedures. In M. D. Dunnette (Ed.), Handbook of industrial/Organizational psychology. Chicago: Rand McNally.
51. Wiedenbeck, M., & Zuell, C. (2001). Klassifikation mit Clusteranalyse: Grundlegende Techniken hierarchischer und k-means-Verfahren. ZUMA How-to-Reihe.
52. Zainuddin, E., & Gonzalez, P. (2011). Configurability, maturity, and value co-creation in SaaS: an exploratory case study. Proceedings of the International Conference on Information Systems 2011.