Volume 6, Issue 2 (6-2018)
Jorjani Biomed J 2018, 6(2): 77-94 |
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:
Kazemi Malek Mahmoudi * S, Niaz Azari K, Jabari N. Explaining the Aspects of Resistance Economy Based on Knowledge-based Economy in University of Medical Sciences: The Viewpoints of Managers and Faculty Members. Jorjani Biomed J 2018; 6 (2) :77-94
URL: http://goums.ac.ir/jorjanijournal/article-1-614-en.html
URL: http://goums.ac.ir/jorjanijournal/article-1-614-en.html
1- Department of Management, Gorgan Branch, Islamic Azad University, Gorgan, Iran
2- Department of Management, Sari Branch, Islamic Azad University, Sari, Iran
2- Department of Management, Sari Branch, Islamic Azad University, Sari, Iran
Abstract: (11709 Views)
Background & Objectives: Knowledge-based economy is one of the major parts of the resistance economy and is recognized as the essentials of the information technology age. As one of the most important educational units and the custodian of community health, universities of medical sciences play a pivotal role in the success of resistance economy based on the knowledge-based economy. Among the employees of a university, the managers and faculty members play an important role in this regard. This study aimed to explain the dimensions of the resistance economy based on the knowledge-based economy in universities of medical sciences.
Materials and Methods: This qualitative research had a purposeful sampling method. Data were collected via library and field research. In the library method, the relevant specialized scientific texts and resources were exploited, whereas in the fieldwork, the researcher interviewed 24 faculty members. The interviews continued until saturation, and after being recorded, they were transcribed in Word software, coded, classified, and encoded by Microsoft OneNote. After that, the interviews were analyzed. It is notable that ethical considerations were observed during the research process. In the field method, the texts and books were evaluated and information searched in scientific and specialized websites. In addition, relevant articles recently published in valid international journals were translated, and primary data with the topic of translation were collected. In the field research and after coordination with faculty members and main elites with a history of article or innovation production or a management background, the opinions of the interviewees were asked about some questions in a semi-structured manner. In addition, three-stage coding, open coding, axial coding, and selective coding were applied in the research. To perform open coding, the main sentences were recorded as codes, followed by classifying the similar codes. In axial coding, the classes were related to their subclasses by comparing the primary classes of open coding and revolving the ones that resembled around the common axis. In selective coding, the integration and refining process of the categories was performed to form and present the model, and the dimensions were extracted and explained.
Results: From the perspective of the faculty members and key experts, resistance economy based on knowledge-based economy in universities of medical sciences could be explained in dimensions of information and communications technology, innovation and entrepreneurship in medical sciences, human resources and knowledge-based team, administrative and structural system, resources of equipment and abilities, policy and socio-environmental impacts. Each of these dimensions also included sub-groups and special themes.
Conclusion: According to the results of the study, it could be stated that moving towards the knowledge-based economy is one of the requirements of the country on the path to economic development, which involves dimensions such as information and communications technology, innovation and entrepreneurship, specialized knowledge-generating team, strategic planning and policy-making, formulating and ensuring the legal framework and legal system, supplying and developing electronic infrastructures, and paying attention to capabilities and resources of facilities.
Materials and Methods: This qualitative research had a purposeful sampling method. Data were collected via library and field research. In the library method, the relevant specialized scientific texts and resources were exploited, whereas in the fieldwork, the researcher interviewed 24 faculty members. The interviews continued until saturation, and after being recorded, they were transcribed in Word software, coded, classified, and encoded by Microsoft OneNote. After that, the interviews were analyzed. It is notable that ethical considerations were observed during the research process. In the field method, the texts and books were evaluated and information searched in scientific and specialized websites. In addition, relevant articles recently published in valid international journals were translated, and primary data with the topic of translation were collected. In the field research and after coordination with faculty members and main elites with a history of article or innovation production or a management background, the opinions of the interviewees were asked about some questions in a semi-structured manner. In addition, three-stage coding, open coding, axial coding, and selective coding were applied in the research. To perform open coding, the main sentences were recorded as codes, followed by classifying the similar codes. In axial coding, the classes were related to their subclasses by comparing the primary classes of open coding and revolving the ones that resembled around the common axis. In selective coding, the integration and refining process of the categories was performed to form and present the model, and the dimensions were extracted and explained.
Results: From the perspective of the faculty members and key experts, resistance economy based on knowledge-based economy in universities of medical sciences could be explained in dimensions of information and communications technology, innovation and entrepreneurship in medical sciences, human resources and knowledge-based team, administrative and structural system, resources of equipment and abilities, policy and socio-environmental impacts. Each of these dimensions also included sub-groups and special themes.
Conclusion: According to the results of the study, it could be stated that moving towards the knowledge-based economy is one of the requirements of the country on the path to economic development, which involves dimensions such as information and communications technology, innovation and entrepreneurship, specialized knowledge-generating team, strategic planning and policy-making, formulating and ensuring the legal framework and legal system, supplying and developing electronic infrastructures, and paying attention to capabilities and resources of facilities.
Type of Article: Original article |
Subject:
Health
Received: 2017/09/16 | Accepted: 2018/06/3 | Published: 2018/12/16
Received: 2017/09/16 | Accepted: 2018/06/3 | Published: 2018/12/16
References
1. Kazemi S. Intellectual wealth and creativity, Prospect of successful organizations, First Ed, Alimnoor,2015 (Persian).
2. Kazemi Sh. Presenting the model Resistance economy based on Knowledge-based economy in the University of Medical Sciences, PhD thesis2016 (Persian).
3. Idelkhani Y, Akhavan P, Hosnavi R. Combined model of knowledge management and Economic Strength, crisis management. 2016:65-76 (Persian).
4. Seifloo S, Concept of Resistance economy, 1ST ed, 2012: 151-173 (Persian).
5. Deputy of Budget and planning of Ferdowsi University, Resistive Economy and the role of universities in making it happen, 2014;53; 1-5 (Persian).
6. Powell, W., & Snellman, K. (2004). The knowledge economy. Annual Review of Sociology, 30 (1), 199-220. [DOI:10.1146/annurev.soc.29.010202.100037]
7. Homafar M, Pourjafar M. Explaining the role of urban planning in realizing the objectives of resistance economy in the field of knowledge economy, Case Study: Tehran, First International Conference on Urban Economics. 2016 (Persian).
8. Jafari A, Jafari H. Investigation of effective social factors of students' lifestyle in relation to resistance economics; National Congress on Lifestyle Role in Resistance, Alborz University Jihad. 2013: 1-7 (Persian).
9. Chua, A.Y.K., & Goh, D.H. Untying the knot of knowledge management measurement: A study of six public service agencies in Singapore. Journal of Information Science, 2008; 34(3): 259-274. [DOI:10.1177/0165551507084139]
10. Esmaeilzade H, Doshmangir L, Fatemi N, Commercialization in Research,1st ed, Tehran, Ayandeh Pajooh, 2015(Persian).
11. Tzortzaki, AM and Mihiotis, A.A Review of Knowledge Management Theory and Future Directions, Knowledge and Process Management, Volume 21 Number 1, 2014; pp :29-41. [DOI:10.1002/kpm.1429]
12. Ahrweiler, P. Pyka, A. & Gilbert, N., A New Model for University-Industry Links in Knowledge-Based Economies, J PROD INNOV MANAG; 28, 2011; Pp. 218-235. [DOI:10.1111/j.1540-5885.2010.00793.x]
13. Margaret, E & Kavitha N. V. Higher Education and Economic Development - Perspective and Prospects, Literacy Information and Computer Education Journal (LICEJ), Volume 5, Issue 1, March 2014, Pp: 1364-1368. [DOI:10.20533/licej.2040.2589.2014.0194]
14. Hajizadeh A, Asqari M., Methods and statistical analyzes by looking at the research method in the biological sciences and health sciences. Jahad University Press ,1st ed, 2011(Persian)
15. Zakeri M., Resistance Economics and Knowledge Economy, National Conference on New Research in Management, Economics and Humanities, 2017, Pp:1-30 (Persian)
16. Amoozadeh J, Falah V, Safarian S., Presenting Impact Model of University Education on Resistance Economics due to the Role of Cultural Infrastructure, Human Resources, political, social and Economics, Journal of Marine Science Education, 2017, Pp:17-32 (Persian)
17. Sadeghi M, Mousavi SM, Study of vulnerable industrial structure in Iran and prioritizing industries based on resistance economy, Critical Review of Human Sciences Texts and Programs, Research Institute of Humanities and Cultural Studies of Resistance Economics. 2016, Pp:83-101 (Persian)
18. Gorjizadeh A, SHarifi A. The role of knowledge-based economics in controlling inflation, economic modeling. 2014, Pp:107-125 (Persian)
19. Khaloobagheri M, Facing Space Inequality while Employing planning based on improving the quality of life, economy and city management, 2011;1(1):49-67 (Persian).
20. Tabarsa GH, Rezaiian A, Nazarpouri A, Designing and explaining a competitive intelligence model based on organizational intelligence in knowledge based organizations, Executive Management Research,2012, Pp:37-58 (Persian)
21. Aref MR, Kianibakhtiari A, the necessity of turning knowledge into technology and national wealth, volume 1, 3rd ed, Nasha elm, 2012(Persian).
22. Shahnazi R, Factors affecting manufacturing of superior technology in knowledge-based economy (Panel data Approach GLS method), Quarterly of Parks and growth centers, 2011; 9(33) (Persian).
23. Leydesdorff, L., & Etzkowitz, H. Ivanova, I. & Meyer, M. The Measurement of Synergy in Innovation Systems: Redundancy Generation in a Triple Helix of University-Industry-Government Relations. SPRU Working Paper Series, May 2017. [DOI:10.2139/ssrn.2937647]
24. Lee,Young Hoon, Kim,YoungJun. Analyzing interaction in R&D networks using the Triple Helix method: Evidence from industrial R&D programs in Korean government. Technological Forecasting and Social Change,2016,Volume 110, Pp 93-105. [DOI:10.1016/j.techfore.2015.10.017]
25. Dalmarco, G., Zawislak, P. A., Hulsink, W., & Brambilla, F. How knowledge flows in university-industry relations: An overview from two economic sectors in Brazil. European Business Review, 2015, 27(2), Pp.148-160. [DOI:10.1108/EBR-04-2013-0068]
26. Borggren, J & Eriksson, R. Human Capital, Skills, and Uneven Intraurban Employment Growth: The Case of Göteborg, Sweden, 1990-2008, Volume 2014, Article ID 260813, Pp:1-14. [DOI:10.1155/2014/260813]
27. Banoa, Sh & Taylor, J. Universities and the knowledge based economy: perceptions from a developing country, Higher Education Research & Development, 2014; Pp: 1-16. Available from : http://www.tandfonline.com.
28. Tocan, Madalina Cristina. Knowledge Based Economy Assessment. Journal of Knowledge Management, Economics and Information Technology, 2012, Issue 5, Pp:199-212.
29. Lu, T. & Chen, J. Incremental or radical? a study of organizational innovation: an artificial world approach, Expert Systems with Applications, 2010, 37(14), 8193-8200. [DOI:10.1016/j.eswa.2010.05.067]
30. Armbruster, H. Organizational innovation: the challenge of measuring non-technical innovation in large-scale surveys, Technovation, 2008, 28(7), Pp: 644-657. [DOI:10.1016/j.technovation.2008.03.003]
31. Nonaka I. (2007). A dynamic theory of organizational knowledge creation. Organization Science 5(1), pp:14-37. [DOI:10.1287/orsc.5.1.14]
32. Spender JC, Marr B. A knowledge-based perspective on intellectual capital. In Perspectives on Intellectual Capital' 2005, Marr B (ed.). Sage; 183-195. [DOI:10.1016/B978-0-7506-7799-8.50018-8]
33. Azizi N, study ways to improve faculty members' research performance in humanities, culture strategy. 2013, Pp:7-34 (Persian)
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
