Mechanisms to achieve competitive advantage of petroleum Geomechanics in first-level universities in Tehran

Document Type : Original Article

Authors

1 تهران خیابان ولیعصر، تقاطع میرداماد، روبروی ساختمان های اسکان

2 Department of Educational Administration, School of Management and Economics, Islamic Azad University, University, Science and Research Branch, Tehran, Iran

3 Department of Higher Education Management/Islamic Azad University, Science and Research Unit, Faculty of Economics and Management, Tehran

4 Higher Education Management/Institute for Research and Planning in Higher Education

Abstract

This research examines and presents the mechanisms of achieving a competitive advantage in the field of petroleum geomechanics of first-level industrial universities of Tehran, the purpose of the research is to use its results to achieve a competitive advantage of the field of geomechanics of first-level universities of Tehran at the national level. And it is international. The approach used in this research was mixed (with a sequential exploratory design that started with the review of articles and books related to competitive intelligence and competitive advantage and interviews and then continued with quantitative work). Also, in terms of strategy, this research was of a survey type in the qualitative part, content analysis, and in the quantitative part, a comparison. Achieving competitive advantage mechanisms was implemented in two qualitative and quantitative stages. In the qualitative part, in addition to the review of related texts and articles, interviews were also conducted with faculty members related to petroleum geomechanics and related trends. The interviewees were selected in a purposeful way, and the mechanisms were identified.
The identified mechanisms include education and information mechanisms, research mechanisms, market research mechanisms, executive mechanisms, monitoring and evaluation mechanisms. Next, to determine the importance of each of the mechanisms, a questionnaire was prepared and distributed using an online questionnaire among faculty members related to petroleum geomechanics, managers and experts of the petroleum industry, and students and graduates of the orientation, finally 53 questionnaires were obtained. which was analyzed using fuzzy Delphi statistical methods and t-test. The results of the research showed that among the proposed mechanisms, the mechanisms of compiling and implementing educational programs; The development of intra- and extra-academic communication and the holding of joint and continuous meetings with industry representatives are of the highest importance.

Keywords


[2] تارخ، محمدجعفر (1390)، هوش رقابتی، انتشارات دانشگاه صنعتی خواجه نصیرالدین طوسی.
[3] زارع، محمدرضا. (1398). تحلیل مزیت رقابتی تعاملات علمی بین‌المللی با استفاده از شاخص ضریب مکانی. فصلنامه آموزش مهندسی ایران، 21 (84)، 119-103.
[4] یاوری، ماندانا؛ جعفری، پریوش؛ قورچیان، نادرقلی؛ زمانی، اصغر (1401). تحلیل شکاف عوامل موثر بر رقابت هوشمندانه دانشگاه از طریق ترسیم نقشه اهمیّت-عملکرد دانشگاه‌های صنعتی سطح یک شهر تهران، فصلنامه آموزش مهندسی ایران. تابستان 1401.
[5] Bose, R. (2008). “Competitive intelligence process and tools for intelligence analysis. Industrial management & data systems”, 108(4), 510-528.
[6] یاوری، ماندانا؛ جعفری، پریوش؛ قورچیان، نادرقلی؛ زمانی، اصغر. (1401)، مدل­سازی پیشران­های مهارتی با رویکرد ترکیبی DISM، فصلنامه مهارت آموزی سازمان فنی و حرفه‌ای کشور، زمستان 1401.
[7] Vriens, Dirk, and Klaus Solberg Søilen.( 2014).” Disruptive Intelligence—How to gather Information to deal with disruptive innovations”.
[8] . Bartes, F. (2015). “Defining a basis for the new concept of competitive intelligence”. ACTA Universitatis Agriculturae ET Silviculturae Mendelianae Brunensis, 62(6), 1233-1242
[9] Bartes, F. (2015). “Defining a basis for the new concept of competitive intelligence”. ACTA Universitatis Agriculturae ET Silviculturae Mendelianae Brunensis, 62(6), 1233-1242.
 [10] Calof, Jonathan, and Sheila Wright. (2008). “Competitive intelligence: A practitioner, academic and inter-disciplinary perspective”. European Journal of Marketing 42: 717–30.
[11] Calof, Jonathan, and Sheila Wright. (2018) Competitive intelligence: A practitioner, academic and inter-disciplinary perspective. European Journal of Marketing 42: 717–30.
[13] Liu, C., & Oppenheim, C. (2006). “Competitive intelligence and the development strategy of higher education in Tianjin”, China. Information Development, 22(1), 58-63.
[14] Bartes, F. (2015). “Defining a basis for the new concept of competitive intelligence”. ACTA Universitatis Agriculturae ET Silviculturae Mendelianae Brunensis, 62(6), 1233-1242.
[15] Bartes, F. (2015). “Defining a basis for the new concept of competitive intelligence”. ACTA Universitatis Agriculturae ET Silviculturae Mendelianae Brunensis, 62(6), 1233-1242.
[16] Calof, Jonathan, and Sheila Wright. (2018). Competitive intelligence: A practitioner, academic and inter-disciplinary perspective. European Journal of Marketing 42:717-30.
[17] Jakobsen Siri, Clausen Tommy Høyvarde (2015), Innovating for a greener future: the direct and indirect effects of firms, Journal of Cleaner Production, pp.1-11.
[18] Chen, Z. C., Ong, D., & Sheremeta, R. (2022). Competition between and within universities: Theoretical and experimental investigation of group identity and the desire to win. Journal of Economic Psychology, 73(1), 358-365.
[19] Song, T., Chen, M., Xu, Y., Wang, D., Song, X., & Tang, X. (2021). Competition-guided multi-neighborhood local search algorithm for the university course timetabling problem. Applied Soft Computing, 11(3), 607-624.
[20] کاظمی، محمد؛ طاهری، حسن؛ محمدی، لیال. (1398) رقابت­پذیری در آموزش عالی، سومین کنفرانس ملی پژوهشهای نوین حسابداری و مدیریت در هزاره سوم، کرج،  4(15)، 134-165
[21] دهنوی، زهرا؛ ذبیحی، لیال؛ ذبیحی، نسترن. (1399) مؤلفه­های هوش رقابتی در دانشگاه آزاد اسالمی تهران مدیریت آموزشی در سازمانهای آموزشی، 6 (1) 13-1.
[22] شاه­محمدی، محمد؛ کیانی، پروانه. 1398بررسی تحلیلی وضعیت موسسات آموزش عالی غیردولتی رویکردهای پژوهشی نوین در مدیریت و حسابداری، 3( 16)، 22-1.
[23] یزدان­پناه، احمد؛ بیات، الناز. (1391). تبیین و ارزیابی شاخص­های رقابتی دانشگاه­های مجازی. مطالعات مدیریت  122-101 (4)12.
[24] Shapira, I. (2021). The limited influence of competitive intelligence over corporate strategy in Israel: historical, organizational, conceptual, and cultural explanations. Intelligence and National Security, 36(1), 95-115.
[25] Behbood, V., Lu, J., and Zhang G., "Adaptive Inference-based learning and rule generation algorithms in fuzzy neural network for failure prediction," in Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on, 2010, pp. 33-38.
[26] Kavitha N. V., Rani Usha (2016), Green Banking – towards Sustainable Development, International Journal Of Innovation Research & Development, Vol. 5, pp. 339-345.
[27] حسن زاده، وحید؛ همتی، علی؛ شاطری، عارف. (1400) بررسی اهمیّت هوش رقابتی در صنعت بیمه. پژوهش و علوم مطالعات اسلامی. 64-51.
[28] Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management, 56(2), 212-231
[29] Schuetz, S., & Venkatesh, V. (2020). Research perspectives: The rise of human machines: How cognitive computing systems challenge assumptions of user-system interaction. Journal of the Association for Information Systems, 21(2), 2
[30] Hilbert, L., Miles, N., Othmer, J., (2009). Technological Forecasting and Social Change, Journal of the Institute of Management Sciences, N. 15.
[31] آذر، عادل؛ فرجی، حجت، (1390)، علم مدیریت فازی، مرکز مطالعات مدیریت و بهروری ایران، ایران.
[32] Abari, M. K., Nilchi, N. A., Nasri. M., Hekmatpnah, M. (2012),"Target market selection using Fuzzy analytic hierarchy process (AHP) and technique for order performance by similarity to ideal solution (Topsis) methods", African journal of Business management,6(20), 6291-6299.
[33] Cheng, C., & Lin, Y. (2002). Evaluating the best main battle tank using fuzzy decision theory with linguistic criteria evaluation European. Journal of Operational Research, 142, 174-186.
[34] Aria Andrea, Jafari Parivash, Behifar Maryam,  (2020) The Impediments to Student Engagement: A Hybrid Method Based on Fuzzy Delphi and Fuzzy DEMATEL, World Journal of Education, Vol 10, No 5.