Title: Proposal of a framework for assessing data quality for technology intelligence: evidence from the building industry

Authors: Marina Flamand; Patience Le Coustumer

Addresses: VIA INNO, University of Bordeaux, Bordeaux School of Economics (BSE), UMR CNRS 6060, 16 Avenue Léon Duguit, Bât. H2, 33608 Pessac Cedex, Talence, France ' University of Bordeaux, Bordeaux School of Economics (BSE), UMR CNRS 6060, 16 avenue Léon Duguit, Bât. H2, CS 50057, 33608 Pessac Cedex, Talence, France

Abstract: Assessing data quality is a prerequisite for using it effectively to inform decision-making. This general consensus regarding data quality has not been tested from the perspective of technology intelligence, which is an information-based activity to support strategic decision-making in innovation area. This article seeks to fill this gap by proposing an operational data quality assessment framework specifically tailored to the needs of technology intelligence experts. In addition to two traditional dimensions of data assessment (availability and reliability), we have integrated a third dimension: the utility for a technology intelligence approach. It is based on three more specific criteria: relevance, richness of information and the added value for analysing innovation. We demonstrate how to use this framework and illustrate its utility by assessing the quality of technical appraisals (ATec in French and below) to support technology intelligence in the building industry.

Keywords: technology intelligence; decision-making; innovation; innovation indicator; criteria for data quality; assessment framework; operational framework; regulatory data; building industry; technical appraisals; ATec.

DOI: 10.1504/IJTIP.2024.140609

International Journal of Technology Intelligence and Planning, 2024 Vol.13 No.3, pp.191 - 212

Received: 25 Jan 2023
Accepted: 28 Aug 2023
Published online: 28 Aug 2024 *

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