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Assessing technological opportunities and threats: an introduction to technology forecasting
2001 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The current trend of globalization and rapid technological change has thrown high-tech firms into a new situation. The overall corporate strategy is today often strongly related to the organizations technological strategy. Hence, for the long-term survival there are no other options than continuous product development and sound investments in new technology. Strategic planning is about developing and maintaining a viable fit between the organizations objectives, skills, recourses and its environmental surroundings. The ever-changing business environment produces vast amounts of information concerning trends and events in the technological, political/legal, social and economic environment that might have a substantial impact on the organization and its strategies. This highlights a need for technology forecasting methods. With some planning in advance it is possible to invest in the right technology at the right time and avoiding the bad investments. This thesis briefly introduces the subject Technology Forecasting with some commonly used forecasting techniques. It also presents, from a theoretic perspective, a methodology for assessing technological opportunities and threats using these methods. The theoretical model is then put in relation to an empirical model developed by Telia, which formed the basis for their futurological studies presented at the early nineties.

Place, publisher, year, edition, pages
2001.
Keyword [en]
Technology, marknadsföring, strategisk planering, teknik, teknologi, teknologiska prognoser, hot, omvärld, marketing strategic planning technology technological, technologies forecast anticipate prognosis scenario, intelligence opportunity opportunities threat threats, business environment method methodology tool technique case, study TF SWOT BI
Keyword [sv]
Teknik
Identifiers
URN: urn:nbn:se:ltu:diva-57523ISRN: LTU-EX--01/076--SELocal ID: e2cde7c6-ab2a-4fbf-9f8d-cf4c4ef4ca18OAI: oai:DiVA.org:ltu-57523DiVA: diva2:1030910
Subject / course
Student thesis, at least 30 credits
Educational program
Industrial and Management Engineering, master's level
Examiners
Note
Validerat; 20101217 (root)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf