##plugins.themes.academic_pro.article.main##

Abstract

The primary function of forecasting is to predict the future using data we have in hand. Technological forecasting is the process of predicting the future characteristics and timing of technology. The technology forecasting methods can be classified as exploratory and normative forecasting methods. There are many changes being performed in different technologies such as software technologies, computing technologies, hardware technologies, etc. There is a need to find the trends and predict the future of these technologies. The technology forecasting methods are useful to find the trends and predict the future. In this paper, we focused on various technology forecasting methods which can be used to track the trends of different technologies.

Keywords: Technology forecasting, Exploratory, Normative. 

##plugins.themes.academic_pro.article.details##

Author Biography

Abhaysinh Vishwasrao Surve, Rajarambapu Institute of Technology, An Autonomous Institute affiliated to Shivaji University, Kolhapur

Second Year M. Tech. Comp. Sci. & Engg.

How to Cite
Surve, A. V. (2014). Study of Technology Forecasting Methods. International Journal of Emerging Trends in Science and Technology, 1(05). Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/171

References

[1] Emamul Haque, Somi Doja Abid Haleem," TECHNOLOGY FORECASTING INDIAN PERSPECTIVE", Special Issue of International Journal of Sustainable Development and Green Economics (IJSDGE), ISSN No.: 2315-4721, V-2, I-1, 2, 2013
[2] Joseph P. Martino, "Technological Forecasting for Decision Making", published by McGraw-Hill, Inc.
[3] Dr. Prakash Sai L., "Technology Management", Indian Institute of Technology Madras
[4] Bala Ramadurai, "Strengths and Weaknesses of some popular Technology Forecasting techniques", a white paper
[5] Gizem Intepe, and Tufan Koc, “The Use of S Curves in Technology Forecasting and its Application On 3D TV Technology”, World Academy of Science, Engineering and Technology 71 2012
[6] Peter Pflaumer, "Forecasting the U.S. Population with the Gompertz Growth Curve", Department of Statistics, Technical University of Dortmund, Vogelpothsweg 87, Dortmund 44227, Germany
[7] Jiyeon Ryu, Soon Cheon Byeon, "Technology level evaluation methodology based on the technology growth curve", published by Elsevier Inc., 2011
[8] István Z. Kovács, Preben Mogensen, Birger Christensen, Rauli Jarvela, “Mobile Broadband Traffic Forecast Modeling for Network Evolution Studies”, published by IEEE, 2011
[9] Pei-Hsi Lee, Chih-Ping Chiang, “Applied Technology Forecasting Model on Evaluation of Quality Growth”, published by IEEE, 2010
[10] Witold Kwasnicki, “Logistic growth of the global economy and competitiveness of nations”, published by Elsevier Inc., 2012
[11] Fei Yang, Li Xuan Ye, "Method of Locating Data Center Based on Delphi", Second International Conference on Innovations in Bio-inspired Computing and Applications IEEE, 2011.
[12] V. J. Ryynänen, M. Karvonen, T.Kässi, “The Delphi Method as a Tool for Analysing Technology Evolution: Case Open Source Thin Computing”, published by IEEE, 2008
[13] Mark Keil, Hyung Koo Lee, Tianjie Deng, “Understanding the most critical skills for managing IT projects: A Delphi study of IT project managers”, published by Elsevier, 2013
[14] Jim Baker, Dino Bouchlaghem, Stephen Emmitt, “Categorisation of fire safety management: Results of a Delphi Panel”, published by Elsevier Ltd., 2013
[15] Dale C. Ray, "Technological Assessment and Forecasting for Electrical Engineering Education: A Proposed Relevance "Tree", IEEE TRANSACTIONS ON EDUCATION, VOL. E-17, NO. 4, NOVEMBER 1974.
[16] B.G. Yoon, Y.T Park, “Morphology Analysis Approach for Technology Forecasting”, published by IEEE, 2004
[17] Growth Curves:
http://www.wiley.com/college/dec/meredith298298/resources/addtopics/addtopic_s_02f.html