Technology Valuation Method for Supporting Knowledge Management in Technology Decisions to Gain Sustainability
Janne Mämmelä,
Tero Juuti and
Pasi Julkunen
Additional contact information
Janne Mämmelä: Automation Technology and Mechanical Engineering, Tampere University, 33720 Tampere, Finland
Tero Juuti: Automation Technology and Mechanical Engineering, Tampere University, 33720 Tampere, Finland
Pasi Julkunen: Sandvik Mining and Construction Oy, 33310 Tampere, Finland
Sustainability, 2019, vol. 11, issue 12, 1-16
Abstract:
New technologies have major effects on the profitability of companies and the economic growth of society. If appropriate technologies can be routinely selected, then it is possible to achieve sustainability at a company level. Knowledge management (KM) can be used to support technology decision making and give an understanding of the potential of particular technologies in a specific business environment. In this study, the design research methodology (DRM) is used with three case studies in an industry environment to develop and evaluate a novel technology valuation method (TVM). The proposed six-step TVM focuses on the acquisition, modeling, and validation of product-related knowledge to support KM related to technology decisions. The contribution of this research is to use distinctions between product properties and behaviors with a disposition toward understanding the potential of technology. During the process, tacit knowledge is made visible and documented, which supports the reliability of technology decisions and enables companies to gain sustainability.
Keywords: technology; technology decision; knowledge management; manufacturing industry; technology valuation; sustainability (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:11:y:2019:i:12:p:3410-:d:241722
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