Forecasting Technology Trends through the Gap Between Science and Technology: The Ñase of Software as an E-Commerce Service

Tugrul Daim (), Esraa Bukhari (), Dana Bakry (), James VanHuis (), Haydar Yalcin () and Xiaoli Wang ()
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Tugrul Daim: Portland State University, National Research University Higher School of Economics
Esraa Bukhari: Portland State University
Dana Bakry: Portland State University
James VanHuis: Portland State University
Haydar Yalcin: Ege University
Xiaoli Wang: Beijing University of Technology

Foresight and STI Governance (Foresight-Russia till No. 3/2015), 2021, vol. 15, issue 2, 12-24

Abstract: Identifying technology trends can be a key success factor for companies to be competitive and take advantage of technological trends before they occur. The companies always work to plan for future products and services. For that, it is important to turn to methods that are used for technology forecasting. These tools help the companies to define potential markets for innovative new products and services. This paper uses text mining techniques along with expert judgment to detect and analyze the near-term technology evolution trends in a Software as a Service (SaaS) case study. The longer-term technology development trend in this case is forecasted by analyzing the gaps between science and technology. This paper contributes to the technology forecasting methodology and will be of interest to those in SaaS technology. Our findings reveal five trends in the technology: 1) virtual networking, 2) the hybrid cloud, 3) modeling methodologies, 4) mobile applications, and 5) web applications. Among the results achieved, we can summarize the interesting ones as follows: it is possible to say that traditional information systems are now evolving into online information systems. On the other hand, the use of a licensing model based on subscriptions triggers the change in perpetual licensing models. The product range that has evolved towards mobile technologies has put pressure on information storage technologies and has led to the search for new methods especially in the development of database systems.

Keywords: technology trends; technology forecasting; technological trajectory; text mining; e-commerce; software as a service; SaaS; patent citation (search for similar items in EconPapers)
JEL-codes: O21 O32 O33 (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (1)

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