Technological Forecasting and Social Change

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Morphological analysis or general morphological analysis is a method for exploring possible solutions to a multi-dimensional, non-quantified complex problem. It was developed by Swiss astronomer Fritz Zwicky.

A technology roadmap is a flexible planning schedule to support strategic and long-range planning, by matching short-term and long-term goals with specific technology solutions. It is a plan that applies to a new product or process and may include using technology forecasting or technology scouting to identify suitable emerging technologies. It is a known technique to help manage the fuzzy front-end of innovation. It is also expected that roadmapping techniques may help companies to survive in turbulent environments and help them to plan in a more holistic way to include non-financial goals and drive towards a more sustainable development. Here roadmaps can be combined with other corporate foresight methods to facilitate systemic change.

<span class="mw-page-title-main">Theodore Modis</span>

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Technology forecasting attempts to predict the future characteristics of useful technological machines, procedures or techniques. Researchers create technology forecasts based on past experience and current technological developments. Like other forecasts, technology forecasting can be helpful for both public and private organizations to make smart decisions. By analyzing future opportunities and threats, the forecaster can improve decisions in order to achieve maximum benefits. Today, most countries are experiencing huge social and economic changes, which heavily rely on technology development. By analyzing these changes, government and economic institutions could make plans for future developments. However, not all of historical data can be used for technology forecasting, forecasters also need to adopt advanced technology and quantitative modeling from experts’ researches and conclusions.

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Corporate foresight has been conceptualised by strategic foresight practitioners and academics working and/or studying corporations as a set of practices, a set of capabilities and an ability of a firm. It enables firms to detect discontinuous change early, interpret its consequences for the firm, and inform future courses of action to ensure the long-term survival and success of the company.

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The Trend Receiver Concept is a method for developing Customer Foresight and has been overall identified as an approach to develop foresight. At the core of the Trend Receiver Concept is the identification of suitable conversation partners, so called Trend Receivers, when developing foresight on the future demands and habits of consumers.

Customer foresight is a new field of applied research. It aims to understand future consumer preferences and wishes with regard to tomorrow's products and services. It does so by combining customer research and foresight research elements. Customer foresight can be conceived as an interaction with projected future markets through selected customers by understanding their wishes and attitudes, ideas and visions as well as their perception of signals and drivers of change. Even though the concept cannot predict the future, it enables companies to prepare for different future scenarios and thus improves strategy and decision-making processes.

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Future-oriented technology analysis (FTA) is a collective term from futures studies for analyzing future technology and its consequences. It includes technology intelligence, technology forecasting, technology roadmapping, technology assessment, and technology foresight. Technology Futures Analysis or Technology Future Analysis (TFA) is a synonym.

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References

  1. Sarin, Shikhar; Haon, Christophe; Belkhouja, Mustapha; Mas-Tur, Alicia; Roig-Tierno, Norat; Sego, Trina; Porter, Alan; Merigo, Jose M.; Carley, Stephen (2020). "Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history". Technological Forecasting and Social Change. 160: 120210. doi: 10.1016/j.techfore.2020.120210 . ISSN   0040-1625.
  2. Mas-Tur, Alicia; Roig-Tierno, Norat; Sarin, Shikhar; Haon, Christophe; Sego, Trina; Belkhouja, Mustapha; Porter, Alan; Merigo, Jose M. (2021). "Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change". Technological Forecasting and Social Change. 165: 120487. doi:10.1016/j.techfore.2020.120487. hdl: 10251/184744 . ISSN   0040-1625.