Volume 6, Issue 2 (Summer 2023)
Iranian Journal of Educational Sociology 2023, 6(2): 24-34 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Torab Abtahi M, Sattari S, Namvar Y. (2023). Presenting the Strategic Orientation Model of Knowledge Transfer in University of Applied Sciences and Technology. Iranian Journal of Educational Sociology. 6(2), 24-34. doi:10.61186/ijes.6.2.24
URL: http://iase-idje.ir/article-1-1282-en.html
URL: http://iase-idje.ir/article-1-1282-en.html
1- PhD student, Department of Educational Sciences, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
2- Faculty member, Department of Educational Sciences, Ardabil Branch, Islamic Azad University, Ardabil, Iran (Corresponding Author).
3- Faculty member, Department of Educational Sciences, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
2- Faculty member, Department of Educational Sciences, Ardabil Branch, Islamic Azad University, Ardabil, Iran (Corresponding Author).
3- Faculty member, Department of Educational Sciences, Ardabil Branch, Islamic Azad University, Ardabil, Iran.
Abstract: (893 Views)
Purpose: The knowledge transfer in educational systems, especially higher education plays an important role in improving their educational and non-educational functions. Therefore, the purpose of this study was to present the strategic orientation model of knowledge transfer in University of Applied Sciences and Technology.
Methodology: This study in terms of purpose was applied and in terms of implementation method was descriptive from type of correlation. The research population was all the managers and employees in University of Applied Sciences and Technology in Tehran city with number 450 people. The sample size based on Cochran's formula was estimated to be 207 people, who were selected by multi-stage cluster sampling method. The tool of the present study was a researcher-made questionnaire with 36 items, whose face validity was confirmed by the opinion of experts and its reliability was calculated by Cronbach's alpha method 0.95. The data after collecting with a researcher-made questionnaire were analyzed with the methods of exploratory factor analysis in SPSS and Smart PLS software.
Findings: The findings of the present study showed that the strategic orientation model of knowledge transfer in University of Applied Sciences and Technology has 36 items in 6 categories including causal factors (with 6 items), central phenomenon (with 3 items), contextual factors (with 7 items), intervening factors (with 4 items), strategies (with 14 items) and consequences (with 2 items), which their factor load was higher than 0.40, their average variance extracted was higher than 0.50 and combined and Cronbach reliability was higher than 0.70. Also, the strategic orientation model of knowledge transfer in University of Applied Sciences and Technology had a good fit and the causal factors had a direct and significant effect on the central phenomenon. The central phenomenon, contextual factors and intervening factors had a direct and significant effect on the strategies and the strategies had a direct and significant effect on the consequences (P<0.001).
Conclusion: The results of this study about the strategic orientation model of knowledge transfer in University of Applied Sciences and Technology can help the officials and planners of the University of Applied Sciences and Technology to improve the educational status of the university through knowledge transfer.
Methodology: This study in terms of purpose was applied and in terms of implementation method was descriptive from type of correlation. The research population was all the managers and employees in University of Applied Sciences and Technology in Tehran city with number 450 people. The sample size based on Cochran's formula was estimated to be 207 people, who were selected by multi-stage cluster sampling method. The tool of the present study was a researcher-made questionnaire with 36 items, whose face validity was confirmed by the opinion of experts and its reliability was calculated by Cronbach's alpha method 0.95. The data after collecting with a researcher-made questionnaire were analyzed with the methods of exploratory factor analysis in SPSS and Smart PLS software.
Findings: The findings of the present study showed that the strategic orientation model of knowledge transfer in University of Applied Sciences and Technology has 36 items in 6 categories including causal factors (with 6 items), central phenomenon (with 3 items), contextual factors (with 7 items), intervening factors (with 4 items), strategies (with 14 items) and consequences (with 2 items), which their factor load was higher than 0.40, their average variance extracted was higher than 0.50 and combined and Cronbach reliability was higher than 0.70. Also, the strategic orientation model of knowledge transfer in University of Applied Sciences and Technology had a good fit and the causal factors had a direct and significant effect on the central phenomenon. The central phenomenon, contextual factors and intervening factors had a direct and significant effect on the strategies and the strategies had a direct and significant effect on the consequences (P<0.001).
Conclusion: The results of this study about the strategic orientation model of knowledge transfer in University of Applied Sciences and Technology can help the officials and planners of the University of Applied Sciences and Technology to improve the educational status of the university through knowledge transfer.
Keywords: Strategic Orientation, Knowledge Transfer, University of Applied Sciences and Technology, Consequences in University Level, Consequences in Society Level
Type of Study: Research Article |
Subject:
Special
Received: 2023/02/17 | Accepted: 2023/05/25 | Published: 2023/09/1
Received: 2023/02/17 | Accepted: 2023/05/25 | Published: 2023/09/1
References
1. Adams P, Freitas IMB, Fontana R. (2019). Strategic orientation, innovation performance and the moderating influence of marketing management. Journal of Business Research. 97: 129-140. [DOI:10.1016/j.jbusres.2018.12.071]
2. Axanova L. (2012). US academic technology transfer models: Traditional, experimental and hypothetical. Les Nouvelles. 47(2): 125-142.
3. Bozeman B, Rimes H, Youtie J. (2015). The evolving state-of-the-art in technology transfer research: Revisiting the contingent effectiveness model. Research Policy. 44(1): 34-49. [DOI:10.1016/j.respol.2014.06.008]
4. Chaney D, Carrillat FA, Zouari A. (2019). Uncovering institutional orientation as a new strategic orientation in industrial marketing. Industrial Marketing Management. 80: 242-250. [DOI:10.1016/j.indmarman.2018.07.011]
5. Chen Q, Ma X, Yu Y, Sun Y, Zhu Z. (2022). Multi-objective evolutionary multi-tasking algorithm using crossdimensional and prediction-based knowledge transfer. Information Sciences. 586: 540-562. [DOI:10.1016/j.ins.2021.12.014]
6. Feng H, Zhang L, Yang X, Liu Z. (2022). Incremental few-shot object detection via knowledge transfer. Pattern Recognition Letters. 156: 67-73. [DOI:10.1016/j.patrec.2022.01.024]
7. Ferraresi AA, Quandt CO, Dos Santos AS, Frega JR. (2012). Knowledge management and strategic orientation: leveraging innovativeness and performance. Journal of Knowledge Management. 16(5): 688-701. [DOI:10.1108/13673271211262754]
8. Giuria P, Munarib F, Scandurac A, Toschi L. (2019). The strategic orientation of universities in knowledge transfer activities. Technological Forecasting & Social Change. 138: 261-278. [DOI:10.1016/j.techfore.2018.09.030]
9. Habibi S, Mira SA. (2018). Designing and explaining the strategic orientation model in knowledge-based companies in Iran. Journal of Business Management. 10(3): 603-622. [Persian]
10. Huang RM, Lee KW. (2015). Exploitative learning in project teams: Do cognitive capability and marketing capability act as moderator variables. International Journal of Project Management. 33: 760-771. [DOI:10.1016/j.ijproman.2014.10.004]
11. Huikkola T, Kohtamaki M. (2019). Interplay of strategic orientations in the development of smart solutions. Procedia CIRP. 83: 89-94. [DOI:10.1016/j.procir.2019.02.145]
12. Kapetaniou C, Lee SH. (2017). A framework for assessing the performance of universities: The case of Cyprus. Technological Forecasting and Social Chang. 123: 169-180. [DOI:10.1016/j.techfore.2016.03.015]
13. Khanifar H, Kameli AR, Nikkhah Keyarmash R. (2020). Effect of team trust on collaborative culture: The mediating role of knowledge sharing. Organizational Culture Management. 18(1): 27-46. [Persian]
14. Kindermann B, Beutel S, De Lomana GG, Strese S, Bendig D, Brettel M. (2021). Digital orientation: Conceptualization and operationalization of a new strategic orientation. European Management Journal. 39(5): 645-657. [DOI:10.1016/j.emj.2020.10.009]
15. Panahi K, Najafi Tavani S. (2020). The impact of strategic orientations on new product development financial performance. Journal of Business Administration Researches. 12(24): 319-345. [Persian]
16. Qiu X, Haugland SA. (2019). The role of regulatory focus and trustworthiness in knowledge transfer and leakage in alliances. Industrial Marketing Management. 83: 162-173. [DOI:10.1016/j.indmarman.2019.03.014]
17. Leroux S, Vankeirsbilck B, Verbelen T, Simoens P, Dhoedt B. (2020). Training binary neural networks with knowledge transfer. Neurocomputing. 396: 534-541. [DOI:10.1016/j.neucom.2018.09.103]
18. Marchiori D, Franco M. (2020). Knowledge transfer in the context of inter-organizational networks: Foundations and intellectual structures. Journal of Innovation & Knowledge. 5(2): 130-139. [DOI:10.1016/j.jik.2019.02.001]
19. Moon H, Ham S, Kim SC, Lee BY. (2021). Influential factors for successful knowledge transfer in restaurant franchises. Journal of Hospitality and Tourism Management. 46: 224-232. [DOI:10.1016/j.jhtm.2020.12.007]
20. Mu J, Thomas E, Peng G, Di Benedetto A. (2017). Strategic orientation and new product development performance: The role of networking capability and networking ability. Industrial Marketing Management. 64: 187-201. [DOI:10.1016/j.indmarman.2016.09.007]
21. Sabzinezhad Z, Abbasi H. (2020). Explaining the effect of strategic orientation and knowledge absorption capacity on innovative capabilities in employees of ministry of sport and youth with the mediating role of strategic flexibility. Journal of Physical Education. 12(3): 721-733. [Persian]
22. Trune DR, Goslin LN. (2015). University technology transfer programs: a profit/loss analysis. Technological Forecasting and Social Chang. 57(3). 197-204. [DOI:10.1016/S0040-1625(97)00165-0]
23. Wang H, Chen K, Zheng H, Zhang G, Wu R, Yu X. (2021). Knowledge transfer methods for expressing product design information and organization. Journal of Manufacturing Systems. 58(1): 1-15. [DOI:10.1016/j.jmsy.2020.11.009]
24. Ziyae B, Rezvani M, Ahmadian Y. (2021). Investigating the Factors affecting knowledge transfer and its impact on innovation performance of international strategic alliances of pharmaceutical SMEs. Journal of Entrepreneurship Development. 13(4): 601-619. [Persian]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
.jpg)
