A Novel Hybrid Model for Technology Strategy Formulating in High-tech Industries under Uncertainty: A Case Study

Document Type : Original Article

Authors

1 Technical Affairs and Network Development Department, Mobile Telecommunication Company of Iran, Tehran, Iran

2 Department of Management, University of Tehran, Tehran, Iran

3 Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract

Globalization and increased virtual communication have posed many challenges to high-tech companies; hence, such companies are sparing efforts to detect the best technologies in this field to solve new and emerging challenges addressing traffic load, communication system security, and infrastructure optimization. Telecommunications companies deal with a highly dynamic and uncertain environment, where their relevant technologies are changing and developing at an increasing speed. Regarding such an environment in telecommunications companies, the present study aimed to present an efficient model for formulating technology strategies for these companies. The proposed model is a hybrid method of attractiveness-capability matrix and, multi-criteria decision-making approaches in an uncertain and dynamic environment. The model provides the attractiveness-capability evaluation factors and criteria regarding the requirements of dynamic and uncertain environments in these companies. This approach provides a more accurate picture of the rapidly changing technologies in formulating technology strategy. The model also used the fuzzy TOPSIS to control the uncertainty aroused by widespread emerging technologies in such organizations. The proposed model is implemented concerning the requirements of the Mobile Communications Company of Iran (MCI), and its results are discussed in detail.

Keywords

Main Subjects

References

  1. Akbari, M., Safaie, N., Jahani, Z. and Saadatmand, M.R., "An analytical model for confronting the omicron variant during covid-19 pandemic: A system dynamic approach", International Journal of Engineering, Transactions B: Applications, Vol. 35, No. 8, (2022), 1533-1546. doi: 10.5829/ije.2022.35.08b.10.
  2. Ghazinoory, S., Nozari, M. and Hoshdar, F., "Cascade roadmaps as a tool for technology strategy formulation: The case of iran oil industry", Journal of the Knowledge Economy, (2023), 1-18. doi: 10.1007/s13132-023-01221-z.
  3. Shehabuddeen, N., Probert, D. and Phaal, R., "From theory to practice: Challenges in operationalising a technology selection framework", Technovation, Vol. 26, No. 3, (2006), 324-335. doi: 10.1016/j.technovation.2004.10.017.
  4. Heidenberger, K. and Stummer, C., "Research and development project selection and resource allocation: A review of quantitative modelling approaches", International Journal of Management Reviews, Vol. 1, No. 2, (1999), 197-224. doi: 10.1111/1468-2370.00012.
  5. Nezhad, A.J., Nikoukar, G.H. and Habibi, M., "A suitable model for formulating technology strategy (case study: A car parts manufacturer in iran khodro company)", International Journal of Learning and Development, Vol. 3, No. 4, (2013), 96-107. doi: 10.5296/ijld.v3i4.4246.
  6. Arasti, M.R., Mokhtarzade, N. and Khanlari, A., "Proposing an integrated technology strategy model based on positioning approach", Journal of Industrial Management Perspective, Vol. 3, No. 2, Summer 2013, (2013), 185-209. http://jimp.sbu.ac.ir/article_87319.html
  7. Ebrahimi, M., Baerz, A.M., Hosseini, S.H.K. and Azar, A., "A new model of petrochemical technology strategic planning", International Journal of Business Administration, Vol. 4, No. 2, (2013), 57. doi: 10.5430/ijba.v4n2p57.
  8. Alvarado, D.C., Acha, S., Shah, N. and Markides, C.N., "A technology selection and operation (TSO) optimisation model for distributed energy systems: Mathematical formulation and case study", Applied Energy, Vol. 180, (2016), 491-503. doi: 10.1016/j.apenergy.2016.08.013.
  9. Mohammadzadeh, S., Mokhtarzadeh, N. and Rasaei, M.R., "Strategic technologies selection for oil production: An application of attractiveness-capability matrix of technology", Iranian Journal of Oil and Gas Science and Technology, Vol. 10, No. 1, (2021), 66-79. doi: 10.22050/ijogst.2020.231146.1551.
  10. Schuh, G., Patzwald, M. and Warzawa, T., "Turbulence-induced initiation of technology strategy development in a volatile business environment", in 2022 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), IEEE., (2022), 1399-1405.
  11. Shen, Y.-C., Lin, G.T. and Tzeng, G.-H., "Combined dematel techniques with novel mcdm for the organic light emitting diode technology selection", Expert Systems with Applications, Vol. 38, No. 3, (2011), 1468-1481. doi: 10.1016/j.eswa.2010.07.056.
  12. Moazenzadeh, D. and Hamidi, H., "Analysis and development of technology acceptance model in mobile bank field", International Journal of Engineering, Transactions C: Aspects, Vol. 31, No. 9, (2018), 1521-1528. doi: 10.5829/ije.2018.31.09c.07.
  13. Arora, H., Naithani, A. and Gupta, S., "Distance measures of pythagorean fuzzy topsis approach for online food delivery apps", International Journal of Engineering, Transactions A: Basics, Vol. 35, No. 10, (2022), 1877-1886. doi: 10.5829/ije.2022.35.10a.07.
  14. Gitinavard, H. and Mousavi, S., "Evaluating construction projects by a new group decision-making model based on intuitionistic fuzzy logic concepts", International Journal of Engineering, Transactions C: Aspects, Vol. 28, No. 9, (2015), 1312-1319. doi: 10.5829/idosi.ije.2015.28.09c.08.
  15. Cil, I., Arisoy, F., Kilinc, H., Özgürbüz, E. and Cil, A.Y., "Fuzzy ahp-topsis hybrid method for indoor positioning technology selection for shipyards", in 2021 5th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), IEEE., (2021), 766-771.
  16. Aliakbari Nouri, F., Khalili Esbouei, S. and Antucheviciene, J., "A hybrid mcdm approach based on fuzzy anp and fuzzy topsis for technology selection", Informatica, Vol. 26, No. 3, (2015), 369-388. doi: 10.15388/Informatica.2015.53.
  17. Schuh, G., Patzwald, M. and Studerus, B., "Development of technology strategies under volatility and uncertainty: A concept for the continuous-iterative analysis of the firm and its environment", in 2022 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE. (2022), 1-19.
  18. Schuh, G., Patzwald, M. and Cardoso, M.C.I., "Resilient technology strategy in volatile environments: Derivation of requirements to enable long-term strategic positioning in times of volatility, uncertainty, complexity and ambiguity", in 2019 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE. (2019), 1-15.
  19. Valinejad, F., Safaie, N., Rahmani, D. and Saadatmand, M., "A hybrid model for supply chain risk management based on five-dimensional sustainability approach in telecommunication industry", International Journal of Engineering, Transactions C: Aspects, Vol. 35, No. 6, (2022), 1096-1110. doi: 10.5829/ije.2022.35.06c.01.
  20. Zhao, F., Kuang, X., Hao, H. and Liu, Z., "Selection of emerging technologies: A case study in technology strategies of intelligent vehicles", Engineering Management Journal, Vol. 34, No. 1, (2022), 37-49. doi: 10.1080/10429247.2020.1839844.
  21. Chen, C.-T., "Extensions of the topsis for group decision-making under fuzzy environment", Fuzzy sets and systems, Vol. 114, No. 1, (2000), 1-9. doi: 10.1016/S0165-0114(97)00377-1.
  22. Hax, A.C. and No, M., "Linking technology and business strategies: A methodological approach and an illustration, Springer, (1993).
  23. Jolly, D.R., "Development of a two-dimensional scale for evaluating technologies in high-tech companies: An empirical examination", Journal of Engineering and Technology Management, Vol. 29, No. 2, (2012), 307-329. doi: 10.1016/j.jengtecman.2012.03.002.
  24. Wu, C.-Y. and Hu, M.-C., "The development trajectory and technological innovation capabilities in the global renewable energy industry", in 2015 Portland International Conference on Management of Engineering and Technology (PICMET), IEEE. (2015), 2574-2580.
  25. Lizarralde, R., Ganzarain, J. and Zubizarreta, M., "Adaptation of the mives method for the strategic selection of new technologies at an r&d centre. Focus on the manufacturing sector", Technovation, Vol. 115, (2022), 102462. doi: 10.1016/j.technovation.2022.102462.
  26. Ertuğrul, İ. and Karakaşoğlu, N., "Comparison of fuzzy ahp and fuzzy topsis methods for facility location selection", The International Journal of Advanced Manufacturing Technology, Vol. 39, (2008), 783-795. doi: 10.1016/j.aej.2022.04.005.
  27. Ahmadabadi, M.H., Keramati, M.A. and Sohrabi, T., "Emblematical pattern of main criteria to selection of foresight technology strategy in advanced aerospace industries", Defensive Future Study Researches Journal, Vol. 5, No. 18, (2020), 141-168. doi: 10.22034/DFSR.2021.130445.1407.
International Journal of Engineering
Volume 36, Issue 6
TRANSACTIONS C: Aspects
June 2023
Pages 1166-1178

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