Next Article in Journal
Urban Chinese Consumers’ Willingness to Pay for Pork with Certified Labels: A Discrete Choice Experiment
Next Article in Special Issue
The Relationship between the Knowledge Economy and Global Competitiveness in the European Union
Previous Article in Journal
The Effect of Employees’ Perceptions of CSR Activities on Employee Deviance: The Mediating Role of Anomie
Previous Article in Special Issue
Sustainability, Transformational Leadership, and Social Entrepreneurship
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle
Sustainability 2018, 10(3), 602;

From Uncertainties to Successful Start Ups: A Data Analytic Approach to Predict Success in Technological Entrepreneurship

Department of Computer Science and Information Technology, La Trobe University, Kingsbury Drive, Bundoora, VIC 3083, Australia
Author to whom correspondence should be addressed.
Received: 18 January 2018 / Revised: 13 February 2018 / Accepted: 19 February 2018 / Published: 26 February 2018
Full-Text   |   PDF [1663 KB, uploaded 1 March 2018]   |  


Understanding uncertainties and assessing the risks surrounding business opportunities is essential to support the success of sustainable entrepreneurial initiatives launched on a daily basis. The contribution of this study is the identification of uncertainties surrounding opportunities in the opportunity evaluation stage of the entrepreneurial process and the examination of how the analysis and evaluation of uncertainty factors, with the help of data, can predict the future success of an organization. In the first phase, the uncertainty factors are classified based on their sources and we discuss the likely implications towards new venture success with the help of existing literatures. In the second phase, a success prediction model is implemented using machine learning techniques and strategic analysis. The model is trained in such a way that, when new data emerges, the qualitative data is transformed into quantitative data and the probability of success or failure is calculated as the result output in the pre-start-up phase. The method and findings would be relevant for nascent entrepreneurs and researchers focusing on sustainable technology entrepreneurship. View Full-Text
Keywords: entrepreneurship; uncertainties; success prediction entrepreneurship; uncertainties; success prediction

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Tomy, S.; Pardede, E. From Uncertainties to Successful Start Ups: A Data Analytic Approach to Predict Success in Technological Entrepreneurship. Sustainability 2018, 10, 602.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top