International Journal of Nonlinear Analysis and Applications

Designing a model for determining the level of technological complexity of research and development activities in knowledge-based companies

Document Type : Research Paper

Authors

1 Department of Technology Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

2 Department of Economics, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran

3 Department of Administrative Science Planning and Management, Faculty of Management, South Tehran Branch, Islamic Azad University, Tehran, Iran

Abstract

Today, in developed countries, the research and development department of knowledge-based companies has played a very important role in the production of new and advanced technologies and ultimately the growth of the knowledge-based economy. One of the important reasons for the success of these companies some of which have become the world's technology giants), conducting research and development activities based on global standards and having a high level of technological complexity. The current research, which is applied research, was conducted with the aim of identifying and classifying the effective factors in determining the level of technological complexity of research and development activities in knowledge-based companies. This research is a type of qualitative research that was conducted using the data-based method. The statistical population of the research was 20 research and development experts and specialists of Iranian knowledge-based companies. Data collection was done through a literature review and semi-structured interviews until theoretical saturation was achieved. By analyzing the data, the first 149 variables were extracted and during the three stages of open, central and selective coding, 98 influential factors were identified in determining the level of technological complexity of research and development activities, then, while identifying the central category, Identified factors were included in the main categories (including: causal, contextual, intervening conditions, strategies and consequences) and the research paradigm model was extracted.  In the current research, during the coding process, the identified factors were classified into 6 categories. Achieving advanced technology was considered as a central category, which includes the variables of the novelty of activity, the creativity of activity, uncertainty of result, systematicity, transferability of results, speed of development, added value of technology, distinctiveness from competitors, and credibility. The result of technology is the potential of learning, and the extent of the application of technology Conclusion: Identifying related factors will provide the possibility for knowledge-based companies to help improve the level of complexity of the country's own activities.

Keywords

[1] P. Azoulay, J.S. Graff Zivin, and B.N. Sampat, Public R&D investments and private-sector patenting: Evidence from NIH funding rules, Rev. Econ. Stud. 86 (2019), no. 1, 117–152.
[2] T. Broekel, Measuring technological complexity-current approaches and a new measure of structural complexity, arXiv preprint arXiv:1708.07357, 2017.
[3] F. Da Silva, E. de Araujo, and M. de Moraes, Innovation development process in small and medium technology-based companies, J. Innov. Manag. Rev. 13 (2016), no. 3, 176–189.
[4] E. Erasmus, S. Rothmann, and C. Van Eeden, A structural model of technology acceptance, SA J. Ind. Psycho. 41 (2015), no. 1, Art. 1222, 12.
[5] J.D. Farmer, J. McNerney, S. Redner, and J.E. Trancik, The role of design complexity in technology improvement, Atlanta Conf. Scie. Innova. Policy, Ivan Allen College of Liberal Arts, 2009.
[6] L. Ferri, R. Span`o, M. Maffei, and C. Fiondella, how risk perception influences CEOs’ technological decisions: Extending the technology acceptance model to small and medium-sized enterprises’ technology decision-makers, Eur. J. Innov. Manag. 24 (2021), no. 3, 777–798.
[7] Z. Hashemi, Investigating the behavior of research and development human resource attraction in knowledge-based companies in response to financial and tax policies: a case study of Iran, Tehsehe Tehsil 7 (2018), no. 3, 91–124.
[8] H. Jorat, Evaluation of knowledge management system using technology acceptance model, Int. Conf. Electric. Engin. Comput. Sci. Inf. (EECSI), 2017.
[9] S. Keshavarz, N.M. Yaqoubi, and A. Deghati, Assessing the success factors of knowledge-based companies in Fars Science and Technology Park with the approach of modeling structural equations, Sci. Technol. Policy Quart. 11 (2021), no. 1.
[10] A. Konjkav Monfared, Analysis of the impact of technological innovation acceptance factors and resource commitment on knowledge management capabilities in order to increase competitive advantage (research sample:
knowledge-based companies in Yazd province), Organ. Knowledge 3 (2019), no. 10, 175–147.
[11] S. Moulaei, R. Shakri, and N. Yaqoubi, The effect of personal knowledge management on culture and innovative performance in knowledge-based companies, Manag. Res. Iran 22 (2017), no. 4, 150–129.
[12] M.F. Mubarak, F.A. Shaikh, M. Mubarik, K.A. Samo, and S. Mastoi, The impact of digital transformation on business performance: A study of Pakistani SMEs, Engin. Technol. Appl. Sci. Res. 9 (2019), no. 6, 5056–5061.
[13] M. Pakniat, R. Ansari, and A. Shahin, Analysis of the impact of technological innovation capabilities on technology commercialization and performance of knowledge-based companies in Isfahan province, Innov. Manag. 5 (2015), no. 9, 59–84.
[14] A. Rezaian, N. Nezafati, and R. Bagheri, Formation of knowledge network in knowledge-based companies, Bus. Manag. Explor. 10 (2017), no. 20, 213–187.
[15] Y. Su and M. Li, Applying technology acceptance model in online, entrepreneurship education for new entrepreneurs, Front. Psycho. 12 (2021), 713239.
[16] K. Vaesen and W. Houkes, complexity and technological evolution: what everybody knows?, Bio. Philo. 32 (2017), 1245–1268.
[17] M. Yahyaei and A. Hassanzadeh, Presenting the model of technology commercialization in knowledge-based companies in the field of ICT, Danesh Invest. 7 (2017), no. 26, 63–82.
International Journal of Nonlinear Analysis and Applications
Volume 15, Issue 8
August 2024
Pages 247-258
  • Receive Date: 18 April 2023
  • Accept Date: 25 June 2023