Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

PL EN


2023 | 21 | 3 | 71-101

Article title

Technology Intelligence as a One of the Key Factors for Successful Strategic Management in the Smart World

Authors

Content

Title variants

PL
Inteligencja technologiczna jako jeden z kluczowych czynników skutecznego zarządzania strategicznego w Smart World

Languages of publication

Abstracts

PL
Cel: w związku ze słabym rozpoznaniem w literaturze przedmiotu zjawiska inteligencji technologicznej we współczesnych organizacjach za cel pracy przyjęto próbę rozpoznania istoty i znaczenia inteligencji technologicznej organizacji funkcjonujących w Smart World. Projekt/metodologia/podejście: artykuł ma charakter koncepcyjno-empiryczny. Propozycja operacjonalizacji opiera się na identyfikacji i ocenie inteligencji technologicznej organizacji jako jednego z kluczowych filarów skutecznego zarządzania w Smart World. Wyniki: inteligencja technologiczna organizacji znacząco przyspiesza i poprawia jakość wielu procesów organizacyjnych, w tym inteligentnego zarządzania strategicznego. Niestety nie napędza się ona sama, lecz jest jednym z elementów większego systemu działań. Aby mogła wykorzystywać swój pełny potencjał, musi być wspierana inteligentnie dobranym potencjałem zasobów rozwijanym w poszczególnych filarach Smart World (Inteligentny Człowiek, Inteligentne Technologie, Inteligentna Współpraca, Inteligencja Organizacji). Inteligencja technologiczna nie może efektywnie funkcjonować bez ich wsparcia. Ograniczenia/implikacje badawcze: wyniki badań wskazują, że ankietowane przedsiębiorstwa posiadają już pewien potencjał inteligencji technologicznej, przede wszystkim w rozumieniu krajobrazu technologicznego. Niestety, często jeszcze brakuje im zasobów i kompetencji, aby zastosować te spostrzeżenia w praktyce (braki w odniesieniu do innych filarów Smart World). Głównymi ograniczeniami wydają się być zasoby finansowe i ludzkie. Organizacje powinny jednocześnie rozwijać swój potencjał we wszystkich filarch Smart World. Oryginalność/wartość: oryginalny wkład niniejszego opracowania polega na usystematyzowaniu wiedzy na temat istoty i znaczenia inteligencji technologicznej organizacji funkcjonujących w Smart World oraz zaproponowaniu sposobu badania jej dojrzałości w przedsiębiorstwach.
EN
Purpose: Due to the poor recognition in the literature of the phenomenon of Technology Intelligence in contemporary organizations, the aim of the paper is to attempt to recognize the essence and significance of Technology Intelligence of organizations operating in a Smart World. Design/methodology/approach: The paper is conceptual-empirical in nature. The operationalization proposal is based on the identification and assessment of the Technology Intelligence of organizations as one of the key pillars of effective management in the Smart World. Findings: An organization’s Technology Intelligence significantly accelerates and improves the quality of many organizational processes, including smart strategic management. Unfortunately, it does not drive itself, but is one component of a larger system of activities. In order for it to realize its full potential, it must be supported by intelligently matched resource capabilities developed in the individual pillars of the Smart World (Intelligent People, Intelligent Technology, Intelligent Collaboration, Organization Intelligence). Technology Intelligence cannot function effectively without their support. Research limitations/implications: The results of the research indicate that the interviewed companies already have some potential for Technology Intelligence, primarily in understanding the technology landscape. Unfortunately, they often still lack the resources and competences to apply the insights in practice (deficiencies in relation to the other pillars of the Smart World). The main constraints seem to be financial and human resources. Organizations should simultaneously develop their potential in all pillars of the Smart World. Originality/value: The original contribution of the study is to systematize knowledge about the essence and importance of Technology Intelligence in the Smart World and to propose a methodology for examining its maturity in enterprises.

Year

Volume

21

Issue

3

Pages

71-101

Physical description

Dates

published
2023

Contributors

author
  • Institute of Management, Faculty of Organization and Management, Lodz University of Technology

References

  • Adamik, A. (2021). Change and Relational Strategies: Through an Organizational Intelligence Lens. In K.J. Klimczak, Y. Shachmurove (eds.), Organizational Change and Relational Resources (pp. 47–78). Routledge. https://doi.org/10.4324/9781003172604
  • Adamik, A., Ghinea, V.M., Ghinea, M., & Nowicki, M. (2022). Mapping the maturity of Smart World trends as a tool for developing business excellence and reducing organizational complexity. Management & Marketing. Challenges for the Knowledge Society, 17(2), 193–219. https://doi.org/10.2478/mmcks-2022-0011
  • Adamik, A., Nowicki, M., & Puksas, P. (2022), Energy oriented concepts and other Smart World trends as game changers of co-production – reality or future? Energies, 15(11), 4112. https://doi.org/10.3390/en15114112
  • Adamik, A., & Nowicki, M. (2018). Preparedness of companies for digital transformation and creating a competitive advantage in the age of Industry 4.0. Proceedings of the International Conference on Business Excellence, 12(1), 10–24. https://doi.org/10.2478/picbe-2018-0003
  • Adamik, A., & Sikora-Fernandez, D. (2021). Smart Organizations as a Source of Competitiveness and Sustainable Development in the Age of Industry 4.0: Integration of Micro and Macro Perspective. Energies, 14(6), 1572. https://doi.org/10.3390/en14061572
  • Agostini, L., & Filippini R. (2019). Organizational and managerial challenges in the path toward Industry 4.0. European Journal of Innovation Management, 22(3), 406–421. https:// doi.org/10.1108/EJIM-02–2018–0030/FULL/XML
  • Albrecht, K. (2002). Organizational intelligence & Knowledge Management: Thinking Outside the Silos. Executive white paper (12.10.2020).
  • Albukhitan, S. (2020). Developing Digital Transformation Strategy for Manufacturing. Procedia Computer Science, 170, 664–671. https://doi.org/10.1016/J.PROCS.2020.03.173
  • Al-Kasasbeh, M.M., Al-Kasasbeh, S.A.M., & AL-Faouri, A.H. (2016). Smart organization characteristics and its impact on social and environmental performance: An empirical study on Jordan phosphate mines company. International Journal of Business and Management, 11, 106. https://doi.org/10.5539/ijbm.v11n8p106
  • Aybek, H.S.Y. (2017). No Transition to university 4.0: A conceptual approach. Journal of Open Education Applications and Research, 3(2). 164–176. https://doi.org/10.1080/23265507.20 17.1365623
  • Awamleh, F., & Ertugan, A. (2021, April-June). The Relationship Between Information Technology Capabilities, Organizational Intelligence, and Competitive Advantage. SAGE Open. 1–14. https://doi.org/10.22478/UFPB.1809-4783.2020V30N4.57352
  • Bratianu, C., Vasilache, S., & Jianu, I. (2006). In search of intelligent organizations. Management & Marketing, 1(4).
  • Christensen, C.M., McDonald, R., Altman, E.J. & Palmer, J.E. (2018). Disruptive innovation: An Intellectual History and Directions for Future Research. Journal of Management Studies, 55(7), 1043–1078. https://doi.org/10.1111/joms.12349
  • Christensen, C., & Raynor, M. (2003). The Innovators Solution: Creating and Sustaining Successful Growth. Harvard Business School Press.
  • Daňa, J., Caputo, F., & Ráček, J. (2020). Complex Network Analysis for Knowledge Management and Organizational Intelligence. Journal of the Knowledge Economy, 11, 405–424. https://doi.org/10.1007/s13132-018-0553-x
  • Dalenogare, L.S., Benitez, G.B., Ayala, N.F., & Frank, A.G. (2018), The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383–394. https://doi.org/10.1016/J.IJPE.2018.08.019
  • De Sousa Jabbour, A.B.L., Jabbour, C.J.C., Foropon, C., & Godinho Filho, M. (2018). When titans meet-Can industry 4.0 revolutionize the environmentally-sustainable manufacturing wave? The role of critical success factors. Technological Forecasting and Social Change, 132, 18–25. https://doi.org/10.1016/j.techfore.2018.01.017
  • Feng, B., Sun, K., Chen, M., & Gao., T. (2020), The Impact of Core Technological Capabilities of High-Tech Industry on Sustainable Competitive Advantage. Sustainability, 12(7). https://doi.org/10.3390/su12072980
  • Ferrier, W.J., & Wiltbank, R. (2010). Value from Gestalt: How Sequences of Competitive Actions Create Advantage for Firms in Nascent Markets Violina Rindova. Strategic Management Journal, 31, 1474–1497. https://doi.org/10.1002/smj.892
  • Fink, L., Yogev, N., & Even, A. (2017). Business intelligence and organizational learning: An empirical investigation of value creation processes. Information and Management, 54(1), 38–56. https://doi.org/10.1016/j.im.2016.03.009
  • García-Piqueres, G., Serrano-Bedia, A.M., & Pérez-Pérez, M. (2019). Knowledge management practices and innovation outcomes: Th e moderating role of risk-taking and proactiveness. Administrative Sciences, 9(4), 75. https://doi.org/10.3390/admsci9040075
  • Gogoi, G., & Barooah, P. Kr., (2021). Knowledge Mapping, Intellectual Capital and Organizational Intelligence. Library Philosophy and Practice (e-journal), 5910. Goleman, D. (2010). Ecological Intelligence: The Hidden Impacts of What We Buy (issue 2). Broadway Books.
  • Halal, W.E. (2006). Organizational Intelligence: What is It and How Can Manager Use It. www.strategy-bussiness.com https://www.infoentrepreneurs.org/en/technological-and-strategic-intelligence/ (20.02.2023).
  • Huawei. (2021). Intelligent World 2030. https://www-file.huawei.com/-/media/corp2020/pdf/giv/intelligent_world_2030_en.pdf (15.06.2022).
  • Kiel, D., Muller, J.M., Arnold, C., & Voigt, K.I. (2017). Sustainable industrial value creation: Benefits and challenges of Industry 4.0. International Journal of Innovation Management, 21. https://doi.org/10.1142/S1363919617400151
  • Kihlstrom, J.F, & Cantor, N. (2000). Social intelligence. In R.J. Sternberg (ed.), Handbook of Intelligence (issue 2, pp. 359–379). Cambridge University Press. https://doi.org/10.1017/CBO9780511807947.017
  • Kraselsky, B.D., & Gravatt C.C. (1989). Environmental intelligence. Technology in Society, 11(1), 99–111. https://doi.org/10.1016/0160-791X(89)90044-4
  • Levine, S., Bernard, M., & Nagel, R. (2017). Strategic Intelligence: The Cognitive Capability to Anticipate Competitor Behavior. Strategic Management Journal. Published online Early View in Wiley Online Library (wileyonlinelibrary.com). https://doi.org/10.1002/smj.2660
  • Madureira, L., Popovic, A., & Castelli, M. (2021). Competitive intelligence empirical construct validation using expert in-depth interviews study. 2021 IEEE International Conference on Technology Management, Operations and Decisions, 1–6. https://doi.org/10.1109/ICTMOD52902.2021.9739422 (08.08.2023).
  • Mao, H., Liu, S., Zhang, J., & Deng, Z. (2016). Information technology resource, knowledge management capability, and competitive advantage: The moderating role of resource commitment. International Journal of Information Management, 36(6), 1062–1074. https://doi.org/10.1016/j.ijinfomgt.2016.07.001
  • Moradi, M., Salehi, M., & Mozan, S. (2022). The effect of different types of intelligence on organizational performance. The TQM Journal, 34(6), 1976-2015. https://doi.org/10.1108/TQM-03 -2021-0071
  • Najm, N.A., & Alfaqih, A.A.H. (2021). Organizational Intelligence and Market Expansion in Jordanian Pharmaceutical Companies. Organizations and Markets in Emerging Economies, 12(1), 222–251. https://doi.org/10.15388/omee.2021.12.55
  • Nogalski B., Niewiadomski P. (2019), Technological maturity as an imitation strategy basis – recognition among manufacturers of the agricultural machinery sector, Organization And Management, 4(187).
  • Noh, H., Mortara, L., & Lee. S. (2023). Development of a maturity model for technology intelligence. Technological Forecasting and Social Change, (192), 122525. https://doi.org/10.1016/j.techfore.2023.122525
  • Oubrich, M. (2011). Competitive Intelligence and Knowledge Creation – Outward insights from an empirical survey. Journal of Intelligence Studies in Business, 97–106. https://doi.org/10.37380/jisib.v1i1.18
  • Oubrich, M., Hakmaoui, A., Bierwolf, R., & Haddani, M. (2018). Development of a competitive intelligence maturity model: Insights from Moroccan companies. Journal of Intelligence Studies in Business, 8 (1) 25–36. https://doi.org/10.37380/jisib.v8i1.303
  • Pless, N.M., & Maak, T. (2005). Relational intelligence for leading responsibly in a connected world, Academy of Management Proceedings, (1), I1–I6. https://doi.org/10.5465/ambpp.2005.18783524
  • Pol, A. (2022). The Influence of Industry 4.0 Technology on the Organizational Culture of Companies. Management Issues, 2(96), 11-30. https://doi.org/10.7172/1644-9584.96.1
  • Prescott, J.E. (2001). Competitive intelligence: Lessons from the trenches. Competitive Intelligence Review, 12(2), 5–19. https://doi.org/10.1002/cir.1013
  • Riggio, R.E. (1986). Assessment of basic social skills. Journal of Personality and Social Psychology, 51(3), 649–660. https://doi.org/10.1037/0022-3514.51.3.649
  • Rumelt, R. P. (2022, June 23), Build a Strategy that Addresses Your Gnarliest Challenges. Harvard Business Review. https://hbr.org/2022/06/build-a-strategy-that-addresses yourgnarliest- challenges [access Aug 08 2023].
  • Saniuk, S., Saniuk, A., & Cagáňová, D. (2021). Cyber industry networks as an environment of the Industry 4.0 implementation. Wireless Networks, 27, 1649–1655. https://doi.org/10.1007/s11276-019-02079-3
  • Saunila, M., Nasiri, M., Ukko, J., & Rentala, T. (2018). Technologies and corporate sustainability: The mediation effect of corporate sustainability strategy. Computers in Industry, 108, 178–185. https://doi.org/10.1016/j.compind.2019.03.003
  • Savioz, P., Luggen, M., & Tschirky, H. (2003). Technology intelligence: Structuring it into the new-technology-based firm (NTBF). Tech Monitor, July–August.
  • Savioz, P., Scacchi, M., & Tschirky, H.P. (2001). Implementing a Technology Intelligence system in a medium-sized medtech company. In PICMET’01: Portland International of Summaries, IEEE Cat. No.01CH37199). IEEE Operations Center. https://doi.org/10.1109/PICMET.2001.951946
  • Shollo, A., & Galliers, R.D. (2016). Towards an understanding of the role of business intelligence systems in organizational knowing. Information Systems Journal, 26(4), 339–367. https://doi.org/10.1111/isj.12071
  • Silber, K.H., & Kearny, L. (2009). Organizational Intelligence: A Guide to Understanding the Business of Your Organization for HR, Training, and Performance Consulting. John Wiley & Sons.
  • Smart Future Initiative. (2016). http://smart-future.net/1.html (10.07.2020). Sternberg, R.J., & Sternberg, K. (2015). Cognitive Psychology. Cengage Learning Inc.
  • Talaoui, Y., & Kohtamäki, M. (2020. 35 years of research on business intelligence process: a synthesis of a fragmented literature. Management Research Review, 44(5), 677–717. https://doi.org/10.1108/MRR-07-2020-0386
  • Torrkeli, M., & Tuominen, M. (2002). The contribution of technology selection to core competences. International Journal of Production Economics, 77(3), 271–284. https://doi.org/10.1016/S0925-5273(01)00227-4
  • Tugrul, D., Kocaoglu, D.F., & Anderson, T.R. (2011). Using technological intelligence for strategic decision making in high technology environments. Technological Forecasting and Social Change, 78(2), 197–198. https://doi.org/10.1016/j.techfore.2010.11.009
  • Závadská, Z., & Závadský, J. (2018). Quality managers and their future technological expectations related to Industry 4.0. Total Quality Management & Business Excellence, 31(7–8), 717–741. https://doi.org/10.1080/14783363.2018.1444474
  • Zawawi, N. & Wahab, S. (2019). Organizational sustainability: A redefinition? Journal of Strategy and Management, 12. www.emeraldinsight.com/1755-425X.htm (19.12.2020).
  • Zhang, Y., Robinson, D.K.R., Porter, A.L., Zhu, D., Zhang, G., & Lu, J. (2016). Technology road mapping for competitive technical intelligence. Technological Forecasting andSocial Change, 110, 175–186. https://doi.org/10.1016/j.techfore.2015.11.029

Document Type

Publication order reference

Identifiers

Biblioteka Nauki
42623281

YADDA identifier

bwmeta1.element.ojs-doi-10_7172_2956-7602_101_4
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.