Abstract Technologies are pivotal for firms' success, but also resource consuming. Therefore, managers have to assess and select technologies carefully in order to allocate resources on the most promising ones, grounding their decisions on adequate sets of criteria on which experienced people can express their opinion. This work proposes an application of Multi Criteria Decision Aids to technology assessment, where Decision Support Systems offer an effective support for evaluating technology impact on firms' success, building on experts' judgments. The method is based on a peer-based modification to Intuitionistic Fuzzy multi-criteria group decision making with TOPSIS method (peer IF-TOPSIS). A case study in which this methodology is applied to a company operating in the military sector (Advanced Underwater System) is also presented. Besides the empirical proof of the method's suitability and value in assisting managers in their decision, the paper's contributions are both methodological and theoretical. Methodologically, while allowing a peer-based voting procedure, the method enhances the consensus in the firm and limits the possible biases that a supra-decision maker could introduce. Theoretically, the set of proposed criteria includes many facets of the assessment problem, and avoids being tailored to the investigated technological field, so enhancing its generalizability.
Technology assessment with IF-TOPSIS: An application in the advanced underwater system sector
D. Aloini,Riccardo Dulmin,Valeria Mininno,L. Pellegrini,G. Farina
Published 2017 in Technological forecasting & social change
ABSTRACT
PUBLICATION RECORD
- Publication year
2017
- Venue
Technological forecasting & social change
- Publication date
2017-07-22
- Fields of study
Computer Science, Engineering, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
CONCEPTS
- advanced underwater system
The company operating in the military sector that serves as the case-study setting.
Aliases: AUS
- assessment criteria
The set of criteria used by experts to judge the impact of a technology in the assessment model.
Aliases: assessment criteria set
- intuitionistic fuzzy multi-criteria group decision making
A group decision framework that uses intuitionistic fuzzy representations to aggregate expert judgments across multiple criteria.
Aliases: IF group decision making
- multi criteria decision aids
A family of decision-support approaches for evaluating options against multiple criteria.
Aliases: MCDA
- peer-based modification
A voting-based adaptation of the decision method in which peers contribute judgments to the group decision.
Aliases: peer-based voting adaptation
- supra-decision maker
A centralized decision-making role that can aggregate opinions and potentially impose its own bias on the group outcome.
Aliases: central decision maker
- technology assessment
An evaluation process for judging technologies by their expected impact on a firm's success and resource allocation.
Aliases: technology evaluation
- topsis method
A ranking method that orders alternatives by closeness to an ideal solution and distance from an anti-ideal solution.
Aliases: Technique for Order Preference by Similarity to Ideal Solution
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