Weitere Artikel dieser Ausgabe durch Wischen aufrufen
Cloud computing is widely advertised as a technology-based service model and an emerging business model which is highly beneficial for the adopting organizations. But, academic landscape lacks sufficient empirical studies of cloud adoption at firm-level, and the existing cloud adoption factors are mostly anecdotal in nature. A multiple case study approach was used to extract and compare adoption characteristics of SMEs and large firms in Germany, based on the Technology-Organization and Environment (TOE) framework. The study shows that there exist important differences between SMEs and large enterprises regarding the cloud adoption factors. The results further show that large firms perceive characteristics of the cloud to be more complicated and not easy to implement compared to SMEs which contradicts the popular belief that large firms are forerunners in adopting innovations and, the widely publicized cost benefits of cloud services are perceived to be in favor of SMEs.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Abdollahzadehgan, A., Che Hussin, A. R., Gohary, M. M., & Amini, M. (2013). The organizational critical success factors for adopting cloud computing in SMEs. Journal of Information Systems Research and Innovation, 4(1), 67–74.
Adomavicius, G., Bockstedt, J. C., Gupta, A., & Kauffman, R. J. (2008). Making sense of technology trends in the information technology landscape: A design science approach. Management Information Systems Quarterly, 32(4), 779–809. CrossRef
Alshamaila, Y., Papagiannidis, S., & Li, F. (2013). Cloud computing adoption by SMEs in the north east of England: A multi-perspective framework. Journal of Enterprise Information Management, 26(3), 250–275. CrossRef
Borgman, H. P., Bahli, B., Heier, H., & Schewski, F. (2013). Cloudrise: Exploring cloud computing adoption and governance with the TOE framework. In Proceedings of the annual Hawaii international conference on system sciences (pp. 4425–4435). Washington, DC, USA: IEEE.
Buonanno, G., Faverio, P., Pigni, F., Ravarini, A., Sciuto, D., & Tagliavini, M. (2005). Factors affecting ERP system adoption: A comparative analysis between SMEs and large companies. Journal of Enterprise Information Management, 18(4), 384–426. CrossRef
Carcary, M., Doherty, E., Conway, G., & McLaughlin, S. (2014). Cloud computing adoption readiness and benefit realization in Irish SMEs-an exploratory study. Information Systems Management, 31(4), 313–327. CrossRef
Chang, V., Walters, R. J., & Wills, G. B. (Eds.) (2015). Cloud computing and frameworks for organisational cloud adoption. In Delivery and Adoption of Cloud Computing Services in Contemporary Organizations (pp. 1–25). Hershey, PA: IGI Global.
Coursaris, C. K., Van Osch, W., & Sung, J. (2013). A “cloud lifestyle”: The diffusion of cloud computing applications and the effect of demographic and lifestyle clusters. In Proceedings of the annual Hawaii international conference on system sciences (pp. 2803–2812). Washington, DC, USA: IEEE.
Downward, P., & Mearman, A. (2006). Retroduction as mixed-methods triangulation in economic research: Reorienting economics into social science. Cambridge Journal of Economics, 31(1), 77–99. CrossRef
Dwivedi, Y. K., Wade, M. R., & Schneberger, S. L. (2012). Information systems theory: Explaining and predicting our digital society. New York: Springer. CrossRef
Easton, G. (2010). Critical realism in case study research. Industrial Marketing Management, 39(1), 118–128. CrossRef
El-Gazzar, R. (2014). A literature review on cloud computing adoption issues in enterprises. In Creating Value for All Through IT (IFIP Advances in Information and Communication Technology), 429, pp. 214–242.
Elias, A. A. (2015). Analysing the stakes of stakeholders in research and development project management: A systems approach. R&D Management, 46(4), 749–760. CrossRef
Elias, A. A., Cavana, R. Y., & Jackson, L. S. (2002). Stakeholder analysis for R&D project management. R&D Management, 32(4), 301–310. CrossRef
Eurostat. (2014). Eurostat regional yearbook 2014. Publications Office of the European Union. http://ec.europa.eu/eurostat/en/web/products-statistical-books/-/8_RYB2014. Accessed 13 October 2016.
Grandon, E. E., & Pearson, J. M. (2004). Electronic commerce adoption: An empirical study of small and medium US businesses. Information Management, 42(1), 197–216. CrossRef
Hsu, P. F., Ray, S., & Li-Hsieh, Y. Y. (2014). Examining cloud computing adoption intention, pricing mechanism, and deployment model. International Journal of Information Management, 34(4), 474–488. CrossRef
Iyer, B., & Henderson, J. C. (2010). Preparing for the future: Understanding the seven capabilities of cloud computing. MIS Quarterly Executive, 9(2), 117–131.
Jeyaraj, A., Rottman, J. W., & Lacity, M. C. (2006). A review of the predictors, linkages, and biases in IT innovation adoption research. Journal of Information Technology, 21(1), 1–23. CrossRef
Kasemsap, K. (2015) The Role of Cloud Computing Adoption in Global Business. In V. Chang, R. Walters, & G. Wills (Eds.), Delivery and Adoption of Cloud Computing Services in Contemporary Organizations (pp. 26-55). Hershey, PA: IGI Global. doi: 10.4018/978-1-4666-8210-8.ch002.
Laukkanen, S., Sarpola, S., & Hallikainen, P. (2005). ERP system adoption - does the size matter? In Proceedings of the 38th annual Hawaii international conference on system sciences, 0(C) (pp. 1–9). Big Island, HI, USA: IEEE.
Levy, Y., & Ellis, T. J. (2006). A systems approach to conduct an effective literature review in support of information systems research. Informing Science, 9, 181-212.
Lin, A., & Chen, N. C. (2012). Cloud computing as an innovation: Percepetion, attitude, and adoption. International Journal of Information Management, 32(6), 533–540. CrossRef
Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management & Data Systems, 111(7), 1006–1023. CrossRef
Mahmood, Z., & Hill, R. (2011). Cloud computing for enterprise architectures: Concepts, principles and approaches. In Cloud computing for Enterprise architectures (pp. 3–19). London: Springer. CrossRef
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing - the business perspective. Decision Support Systems, 51(1), 176–189. CrossRef
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. NIST Special Publication, 145, 7 http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf. Accessed 13 October 2016.
Moore, G., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. CrossRef
Morgan, L., & Conboy, K. (2013). Factors affecting the adoption of cloud computing: An exploratory study. In Proceedings of the 21st European conference on information systems (pp. 1–12). Utrecht, Netherlands: AISeL.
Nkhoma, M., & Dang, D. (2013). Contributing factors of cloud computing adoption: A technology-organisation-environment framework approach. International Journal of Information Systems and Engineering, 1(1), 38–49.
Nuseibeh, H. (2011). Adoption of cloud computing in organizations adoption of cloud computing in organizations. In Proceedings of Americas Conference on Information Systems (pp. 372). Helsinki, Finland: AISeL.
Oliveira, T., & Martins, M. (2011). Literature review of information technology adoption models at firm level. Electronic Journal of Information, 14(1), 110–121.
Oliveira, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors. Information Management, 51(5), 497–510. CrossRef
Opitz, N., Langkau, T. F., Schmidt, N. H., & Kolbe, L. M. (2012). Technology acceptance of cloud computing: Empirical evidence from German IT departments. In Prodeedings of 45th Hawaii international conference on system sciences (pp. 1593–1602). Maui, HI, USA: IEEE.
Petrescu, M. (2012). Cloud computing and business-to-business networks. International Journal of Business Information Systems, 10(1), 93–108. CrossRef
Ragin, C. C. (2011). Constructing social research: The unity and diversity of method. Thousand Oaks: Pine Forge Press.
Rajagopal, P. (2002). An innovation—Diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model. Information Management, 40(2), 87–114. CrossRef
Rogers, E. M. (1962). Diffusion of innovations. New York: The Free Press.
Saedi, A., & Iahad, N. (2013). An integrated theoretical framework for cloud computing adoption by small and medium-sized enterprises. In Proceedings of Pacific Asia Conference on Information Systems. Jeju Island, South Korea : AISeL.
Samani, R., Honan, B., Reavis, J., & Jirasek, V. (2015). CSA guide to cloud computing: Implementing cloud privacy and security. Amsterdam: Syngress.
Senarathna, I., Warren, M., Yeoh, W., & Salzma, S. (2015)A conceptual model for cloud computing adoption by SMEs in Australia.. In Delivery and Adoption of Cloud Computing Services in Contemporary Organizations (pp. 100–128). Hershey, PA: IGI Global.
Stieninger, M., Nedbal, D., Wetzlinger, W., Wagner, G., & Erskine, M. a. (2014). Impacts on the organizational adoption of cloud computing: A reconceptualization of influencing factors. Procedia Technology, 16, 85–93. CrossRef
Strauss, A., & Corbin, J. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory. Thousand Oaks: Sage.
Trigueros-Preciado, S., Pérez-González, D., & Solana-González, P. (2013). Cloud computing in industrial SMEs: Identification of the barriers to its adoption and effects of its application. Electronic Markets, 23(2), 105–114. CrossRef
Webster, J., & Watson, R. T. (2003). Analyzing the past to prepare for the future: Writing a literature review. Management Information Systems Quarterly, 26(2), xiii–xxiii.
Welsh, J. A., & White, J. F. (1981). A small business is not a little big business. Harvard Business Review, 59(4), 18–27.
Wu, Y., Cegielski, C. G., Hazen, B. T., & Hall, D. J. (2013). Cloud computing in support of supply chain information system infrastructure: Understanding when to go to the cloud. Journal of Supply Chain Management, 49(3), 25–41. CrossRef
Yang, H., & Tate, M. (2012). A descriptive literature review and classification of cloud computing research. Communications of the Association of Information Systems, 31, 35–60. CrossRef
Yin, R. K. (2009). Case study research: Design and methods, essential guide to qualitative methods in organizational research. Essential guide to qualitative methods in organizational research (4th ed.). Thousand Oaks: Sage.
Zhu, K., Kraemer, K. L., Xu, S., & Dedrick, J. (2004). Information technology payoff in E-business environments : An international perspective on value creation of E-business in the financial services industry. Journal of Management Information Systems, 21(1), 17–54. CrossRef
- Differential cloud adoption: A comparative case study of large enterprises and SMEs in Germany
Saji K Mathew
- Springer US
Neuer Inhalt/© ITandMEDIA