High technologies intelligence management model at national level organizations
Keywords:
High technologies, innovation management, technology intelligence, technology intelligence management, technology intelligence processesAbstract
The purpose of this study is to investigate the interrelation of the main variablesaffecting technology intelligence management to design an appropriate model of hightechnologies intelligence management at national level organisations. Based on a literaturereview, a conceptual model was developed. It includes 11 main variables classified into threelevels: the operational, managerial, and environmental levels. Participants in the presentresearch included 160 experts in technology intelligence from Iranian universities and industry,137 of whom completed the research questionnaire. Research information and hypotheses wereanalysed and tested using structural equation modeling, SPSS, and LISREL software. Thefindings show that to properly manage a technology intelligence system in high technologies atnational level organisations, attention to the managerial and operational levels is moreimportant than environmental factors. It also shows that to establish technology intelligence inorganisations, managers should pay more attention to these factors to gain confidence in theeffectiveness of the implementation of this system.References
Abbass, A., & Mehmood, K. 2020. Impact of
Internet of Things on business policy: the
mediating role of marketing intelligence
capability. International Journal of Business
Information Systems.
https://doi.org/10.1504/ijbis.2020.10031672.
Alzubi, Y., Malkawi, A. B., & Habib, M. 2019.
Organisational health: The role of technology
disruption and competency adequacy in
Jordanian construction sector. International
Journal of Innovative Technology and
Exploring Engineering, 8(12), 5475-5482.
Amini, Ali. 2017. Analyzing the Impact of
Technology Intelligence on Competitive
Advantage in Firm (Case Study:
Pharmaceutical Companies). Journal of
Healthcare Management, 8(2), 75-85.
An, J., Kim, K.,Mortara, L.,& Lee, S. 2018.
Deriving technology intelligence from patents:
Preposition-based semantic analysis. Journal
of Informetrics, 12(1), 217–236.
Ashton, W. B. 1997. Tech intelligence survey
finds few are world-class. Research Technology
Management, 40(2), 3.
Bonyadi Naieni, Ali, Ahadzadeh Namin, Mahnaz,
Amini, Ali. 2016. Enhancing the Efficiency of
the Technological Innovation Capabilities and
Competitiveness of Pharmaceutical
Companies by Applying Technology
Intelligence Using Data Envelopment
Analysis. Journal of Healthcare Management.
(2), 63-73.
Calof, J. and Smith, J. 2010. The integrative
domain of foresight and competitive
intelligence and its impact on R&D
management. R&D Management, 40(1), 31-39.
Chen, J., Brem, A., Viardot, E., & Wong, P. K.
(Eds.). 2019. The Routledge Companion to
Innovation Management. Routledge.
Coburn, M. M. 1999. Competitive technical
intelligence: A guide to design, analysis, and
action. American Chemical Society.
Danaiefard, Hassan, Alvani, Seyyed Mehdi, Azar,
Adel. 2004. Qualitative research methodology
in management. Tehran: Saffar Publishing
Company.
Farrukh, C. & Holgado, M. 2020. Integrating
sustainable value thinking into technology
forecasting: A configurable toolset for early
stage technology assessment. Technological
Forecasting and Social Change, 158, 120171.
Gay, L. R., Mills, G. E., & Airasian, P. 2009.
Educational research competencies for
Analysis and Applications (9th ed.), pp. 129-
, 155-157. Upper Saddle River, NJ:
Pearson Education, Inc.
Ghauri, P., Grønhaug, K., & Strange, R.
Research methods in business studies.
Cambridge University Press.
Gonçalves, L. R., & de Almeida, F. C. 2019. How
Technology Intelligence is Applied in Different
Contexts. International Journal of Innovation:
IJI Journal, 7(1), 104-118.
Greitemann, J., Zaggl, M., Hehl, M., Raasch, C.,
& Reinhart, G. 2017. Technology lifecycleoriented search for production technologies.
CIRP Journal of Manufacturing Science and
Technology, 16, 21–33.
Hambrick, D.C. 1982. Environmental scanning
and organisational strategy. Strategic
Management Journal, 3(2), 159–74.
Hataminejad, Mohammad, Akbari, Mohsen,
Ebrahim Poorazbari, Moastafa. 2017. The role
of organisational capabilities in reducing
technological risks and improving knowledgebased companies’ market performance
through the mediation of technology
intelligence. Roshd -e- Fanavari, 61 (16), 12-
Herring, J.P. 1997. Creating successful scientific
and technical intelligence programs. Battelle
Press, Columbus, Richland.
Hohhoff, B. 1997. Computer support systems for
scientific and technical intelligence. in W.B.
Ashton and R.A. Klavans (eds), Keeping
Abreast of Science and Technology: Technical
Intelligence in Business, Columbus, Ohio:
Batelle Press, pp. 259-79.
Hooman, Heydarali. 1994. Understanding the
scientific method in behavioral sciences.
Tehran: Parsa Publishing.
Jennings, D.F. & Lumpkin, J.R. 1992. Insights
between environmental scanning and porter’s
generic strategies: An empirical analysis.
Journal of Management, 18 (4), 791–803.
Karshenas, A., Malaek, S. 2013. Deriving the
Functional Architecture of the National
Intelligence System for Fuel Cell
Technology. Journal of Technology
Development Management, 1(2), 31-55.
Kerr, C., Mortara, L., Phaal, R., & Probert, D.
A conceptual model for technology
intelligence. International Journal of
Technology Intelligence and Planning, 28(1),
-93.
Kerr, C. & Phaal, R. 2018. Directing the
technology intelligence activity: An
‘information needs’ template for initiating the
search. Technological Forecasting and Social
Change, 134(C), 265–276.
Khamseh, Abbas, Pilehvari Salmasi, Nazanin,
Neyrizi, Zohreh. 2019. Assessment and
Prioritisation of Effective Factors on
Technology Intelligence in the Power Plant
Industry (Case Study: MAPNA Power Plants
Construction & Development Company, MD1). Journal of Management Future Studies,
(1), 87-98.
Khodayari, Maryam, Nilforoushan, Hadi,
Hajiheydari, Nastaran. 2020. Pathology of
technology intelligence business models in
Iran. Technology Development Management
Quarterly, 7(4), 97-126.
Krystek, U. & Müller-Stewens, G. 1993.
Frühaufklrung für Unternehmen:
Identifikation und Handhabung zukünftiger
Chancen und Bedrohungen. Stuttgart,
Schffer-Poeschel.
Lang, H.C. 1998. Technology Intelligence: Ihre
Gestaltung in Abhngigkeit der
Wettbewerbssituation. Zürich, Industrielle
Organisation.
Lichtenthaler, E. 2000. Organisation der
Technology Intelligence: eine empirische
Untersuchung in technologieintensiven,
international ttigen Grossunternehmen.
Zürich, Dissertation ETH no. 13787.
Lichtenthaler, E. 2003. Third generation
management of technology intelligence
processes. R&D Management, 33(4), 361–375.
Lichtenthaler, E. 2004a. Technology Intelligence
Processes in leading European and North
American multinationals. R&D Management,
(2) 121–135.
Lichtenthaler, E. 2004b. Coordination of
technology intelligence processes: A study in
technology intensive multinationals.
Technology Analysis & Strategic Management,
(2), 197–221.
Lichtenthaler, E. 2004c. Technological change
and the technology intelligence process: A case
study. Journal of Engineering and Technology
Management, 21(4), 331–348.
Lichtenthaler, E. 2007. Managing technology
intelligence processes in situations of radical
technological change. Technological
Forecasting and Social Change, 74(8), 1109–
Loh, Y. W., & Mortara, L. 2017. How to measure
technology intelligence. International Journal
of Technology Intelligence and Planning,
(3), 187-211.
McDonald, D.W. and Richardson, J. L. 1997.
Designing and implementing technology
intelligence systems. In: Ashton, W.B. and
Klavans, R.A. (eds). Keeping abreast of science
and technology: technical intelligence in
business. Columbus OH: Batelle, pp. 123–155.
Majidfar, F., Taghva, M. R., Taghavifard, M. T.,
& Manteghi, M. 2013. Implementing HighTechnology Intelligence at National Level
Organisations: An Action Research Study.
European Online Journal of Natural and
Social Sciences, 2 (3(s)), 2300-2321.
Mortara, L., Kerr, C. I., Phaal, R., & Probert, D.
R. 2009. A toolbox of elements to build
Technology Intelligence systems.
International Journal of Technology
Management, 47 (4), 322-344.
Nardi, P. M. 2003. Doing Survey Research: A
guide to quantitative methods. Boston, MA:
Pearson Education, Inc.
Naruse, H., & Kosaka, M. 2011. Application of
Technology Intelligence from the viewpoint of
service value creation: Strategic planning of
financial information system using TI. In
ICSSSM11 (pp. 1-5). IEEE.
Nasullaev, A., Manzini, R., & Kalvet, T. 2020.
Technology intelligence practices in SMEs:
Evidence from Estonia. Journal of Intelligence
Studies in Business, 1(1).
Nosella, A., Petroni, G., & Salandra, R. 2008.
Technological change and technology
monitoring process: Evidence from four Italian
case studies. Journal of Engineering and
Technology Management, 25(4), 321–337.
Peyrot, M., Childs, N., Van Doren, D., & Allen, K.
An empirically based model of
competitor intelligence use. Journal of
Business Research, 55(9), 747–758
Qasemi, E. 2002. A practical guide to research in
practice. Tehran: Research Institute of
Education.
Ranjbar, M. S., & Cho, N. 2016. Exploiting
technology intelligence in designing and
manufacturing complex product systems.
Asian Journal of Information and
Communications, 8(2), 55-68.
Rea, L. M. & Parker, R. A. 2005. Designing &
conducting survey research: A comprehensive
Guide (3rd ed.). Hoboken, NJ: John Wiley &
Sons, Inc.
Safdari Ranjbar, M., Elyasi, M., Tavakkoli, G.
A Review on Technology Intelligence
Concept (Definitions, Structure, Process,
Players, Methods and Tools). Industrial
Technology Development Quarterly, 15 (30),
-58.
Samadi, A., Sohrabi, R., Erfani, F. 2018.
Investigating the relationship between
technology intelligence and strategic
innovation in companies located in technology
parks (Case study: Pardis Technology Park).
Public Management Researches, 11(41), 111-
Savioz, P. 2004. Technology intelligence in
technology-based SMEs: Design and
implementation of a concept to identify,
collect, analyze, disseminate and apply
relevant information from a company's
technological environment to support business
decision-making processes. Doctoral Thesis,
ETH Zürich, Switzerland.
Schuh, G., Bräkling, A., & Drescher, T. 2015.
Configuration model for focused crawlers in
technology intelligence. Proceedings of 24th
International Association for Management of
Technology (IAMOT), 832-839.
Taghva, M. R., Majidfar, F., Salami, R., &
Karshenas, A. A. 2014. A conceptual model for
university-industry knowledge transfer
through technology intelligence cycles and
social networks: multiple case study of
technology transfer projects. Asian Journal of
Research in Business Economics and
Management, 4(9), 57.
Talaoui, Y., & Kohtamäki, M. 2020. Of BI
research: a tale of two communities.
Management Research Review, 43(11), 1371-
Tao, Q., & Prescott, J. 2000. China: competitive
intelligence practices. Competitive Intelligence
Review, 11 (4), 65-78.
Teza, P., Buchele, G. T., de Souza, J. A., &
Dandolini, G. A. 2016. Analysis of quantitative
empirical papers on diffusion and adoption of
methods, techniques and tools for innovation.
RAI Revista de Administração e Inovação,
(2), 107-115.
Thavorn, J., Gowanit, C., Muangsin, V., &
Muangsin, N. 2020. Foresight through
Strategic Technology Intelligence for
Collaboration and Innovation Pathways. In
The International Society for Professional
Innovation Management (ISPIM) Conference
Proceedings (pp. 1-16), Manchester.
Thomas L, W., Hunger, J. D., Hoffman, A. N., &
Bamford, C. E. 2018. Concepts in strategic
management and business policy:
Globalisation, Innovation and Sustainability.
Pearson.
Trochim, W. M. K. & Donnelly, J. P. 2008. The
research methods knowledge base (3rd ed.), pp.
-65. Mason, OH: Atomic Dog.
Ulrich, H., & Probst, G. J. 1988. Guide to holistic
thinking. A breviary for managers. Bern,
Stuttgart: main.
Veugelers, M., Bury, J,Viaene, S. 2010. Linking
technology intelligence to open innovation.
Technological Forecasting & Social Change,
(2), 335–343.
Wickramasinghe, N. & Lubitz, D. 2007.
Knowledge-based enterprise: theories and
fundamentals. Idea Group Publishing.
Wu, Q., Wu, C., & Liu, Y. 2018. Research on the
development of scientific and technological
intelligence in big data environment. In ITM
Web of Conferences (Vol. 17, p. 03018). EDP
Sciences.
Yoon, J., Ko, N., Kim, J., Lee, J. M., Coh, B. Y., &
Song, I. 2015. A function-based knowledge
base for technology intelligence. Industrial
Engineering & Management Systems, 14(1),
-87.
Yoon, J., Park, H., Seo, W., Lee, J., Coh, B., &
Kim, J. 2015. Technology opportunity
discovery (TOD) from existing technologies
and products: A function-based TOD
framework. Technological Forecasting and
Social Change, 100(C), 153–167.
Downloads
Published
Issue
Section
License
Copyright (c) 2022 Journal of Intelligence Studies in Business
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
