Title: Mapping intelligence concepts and positioning technology intelligence: a structural topic modelling approach

Authors: Aynur Yarga; Dilek Ozdemir Gungor; Serhat Burmaoglu; Ozcan Saritas

Addresses: Izmir Katip Celebi University, Balatcik Mahallesi Havaalanı Sosesi No: 33/2 Balatcik, 35620 Cigli, Izmir, Turkiye ' Cihannuma Economic and Societal Research and Application Center, Balatcik Mahallesi Havaalanı Sosesi No: 33/2 Balatcik, 35620 Cigli, Izmir, Turkiye; Izmir Katip Celebi University, Balatcik Mahallesi Havaalanı Sosesi No: 33/2 Balatcik, 35620 Cigli, Izmir, Turkiye ' Department of Health Management, Faculty of Economics and Administrative Sciences, Izmir Katip Celebi University, Izmir, Turkiye; Department of Management, Faculty of Economics and Administrative Sciences, Kyrgyz-Turkish Manas University Djal Campus Bishkek/Kyrgyzstan, Bishkek, Kyrgyzstan ' Graduate Programs and Research Department, Rochester Institute of Technology Dubai (RIT Dubai), Dubai, UAE; Institute of Statistical Studies and Economics of Knowledge, HSE University, Moscow, Russia; Manchester Institute of Innovation Research, The University of Manchester, Oxford Rd., Manchester, M13 9PL, UK

Abstract: Accelerating societal, technological, and economic changes with emerging challenges compel strategic managers to rely on scanning and intelligence tools to stay competitive. Numerous intelligence phrases have gained popularity in the last decade. This study aims to systematize and distinguish these intelligence phrases in scholarly publications, focusing on 'technology intelligence (TI)'. TI has garnered attention due to global technological change, increased R&D activities, external technology resource usage, and the growing complexity of technology development. We applied a qualitative approach for conceptual clarification, followed by a quantitative method, structural topic modelling, to position these terms in the literature. Our study identified two perspectives on 'intelligence': 'endogenous' and 'exogenous.' Clustering intelligence phrases based on these perspectives revealed that TI is part of the exogenous intelligence cluster. The quantitative analysis demonstrated that, unlike other intelligence approaches, TI is closely associated with emergence terms and technological change.

Keywords: conceptual analysis; technological change; technology intelligence; technology emergence; topic modelling; structural topic modelling.

DOI: 10.1504/IJTIP.2024.140623

International Journal of Technology Intelligence and Planning, 2024 Vol.13 No.3, pp.213 - 239

Received: 22 Mar 2023
Accepted: 03 Apr 2024
Published online: 28 Aug 2024 *

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