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Cloud Computing Services in E-Business: Case Study in Greek Companies during Economic Recession

Constantinos Halkiopoulos1, Konstantinos Giotopoulos1, Hera Antonopoulou1, Panagiotis Togias1, Konstantinos Theologos1

 

[Abstract]

The Cloud Computing is a technology that will totally dominate in the future. Companies such as Google, Microsoft, Amazon and others have invested heavily in new technological structure while increasingly focus their services to take advantage of the revolutionary Cloud Computing capabilities. There are many ways of how cloud computing is changing the business and hence the digital economy. Consumers also have preceded the business to use services based on the logic of the cloud, which allows better cooperation with blogs, wikis and social networks (Facebook, Twitter). Flexibility is the ability of an enterprise to change in order to react better and faster to the needs in order to provide updated and secure services to its consumers.

The purpose of this paper is to study the impact of cloud computing services in E-Business during the economic recession of Greek market. Through this research there is an effort to make an approach in order to determine if it is cloud computing widely used in enterprises and how many of the companies in the field of IT and non have adopted it. The tool for recording and evaluating of the impact between the Cloud Computing Services and E-Business was a closed-ended questionnaire. In particular, companies were asked to reply to a targeted questionnaire, with questions like, whether cloud computing is functional, easy to use, and economical of course whether they find it a safe tool for storing their business data. The research was conducted in 2016 during economic recession and the sample involved was Greek companies. The information was collected by the use of social media. To extract useful results we have made statistical analysis of collected data, which held at the middle of Economical year of 2016. We have also implemented appropriate Machine Learning techniques through the use of classification algorithms, clustering and correlation analysis in order to produce inference rules. For the implementation of the Machine Learning techniques we have used the open source software Machine Learning and Data Mining Code R.

Finally we came to the fact that businesses are adopting cloud computing services as backbone of their business strategy they have great potential in this way to sustainable development in the cloud era.

Keywords: Cloud Computing Services, E-Business, Social Networks, R, Economic Crisis

 

References:

  1. Babar, M.A., and Chauhan, M.A., (2011). A tale of migration to cloud computing for sharing experiences and observations, ACM.
  2. Wu, Z. H., (2011). Cloud Computing: Analysis of the Core Technology. Posts & Telecom Press.
  3. Zheng, W. M., (2010). Opportunities and Challenges to Cloud Computing.
  4. Gkintoni, E., Halkiopoulos, C., Antonopoulou, H., Togias, P., Mitropoulos, A., “Emotional Intelligence in Social Network Consumers”, International Conference on Contemporary Marketing Issues, 22-24 June 2016, Heraklion, Greece
  5. James G., Witten D., Hastie T., Tibshirani R. An Introduction to Statistical Learning with Applications in R. Springer; 2013.
  6. Maimon, Oded, and Rokach, Lior, (2010). “Data Mining and Knowledge Discovery Handbook”, 2nd ed., Springer.
  7. Halkiopoulos, C., Antonopoulou, H., Panagiotarou, A., Togias, P., (2016). “E-marketing and Online Advertising: Case Study in Greek companies during the economic crisis”, International Conference on Contemporary Marketing Issues, 22-24 June, 2016, Heraklion, Greece.
  8. Pang-Ning Tan, Michael Steinbach and Vipin Kumar, “Introduction to Data Mining”, Addison-Wesley, 2006.

1Dept. of Business Administration, Technological Educational Institute of Western Greece, Greece

[Conference Program: ICCMI 2017]


© The Author(s) 2017. Published by 5th International Conference Proceedings on behalf of C.I.CO.S Research Team and the Entrepreneurship & Digital Innovation LAB of the Business Administration Department (Technological and Educational Institute of Western Greek) and Department of Psychology (University of Crete).

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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