ORIGINAL_ARTICLE
A Comparative Study of Innovation Modes and HR Configurations in Knowledge-Based Firms in Science and Technology Parks
Human capital is one of the most important factors for innovation in companies. In this paper, we focus on two characteristics of human capital, i.e. uniqueness and value creation, to conduct a comparative study on the modes of innovation and human resource (HR) configurations in knowledge-based firms located in Pardis Technology Park and the University of Tehran Science and Technology Park. Managing human capital in innovative companies needs a set of HR practices suitable for work force characteristics and special aims of firm. In this study, we try to answer the question: Do knowledge-based firms choose their HR configuration according to their human capital characteristics and innovation mode? This study is a descriptive survey, with questionnaire as data collecting tool. We perform confirmatory factor analysis to assess the construct validity and model verification, and use binominal test to assess the level of coordination between the modes. In the first stage, the maximum level of coordination is identified between productivity-based HR system and market-oriented innovation, and in the next stage, the maximum coordination is between collaborative HR system and science-based innovation mode. Also, the average of value creation scores higher than uniqueness.
https://www.nowavari.ir/article_14844_050f4482bacd27960386681baec0bc9a.pdf
2015-11-22
1
22
Human capital
uniqueness
Strategic Value
Innovation Mode
HR Configurations
Coordination
Confirmatory Factor Analysis
Vajhollah
Ghorbanizadeh
1
Faculty of Management and Accounting, Allameh Tabataba’i University
AUTHOR
Rahele
Montazer
rahelemontazer@gmail.com
2
Allameh Tabataba’i University
LEAD_AUTHOR
Mirali
Seyed Nagavi
3
Allameh Tabataba’i University
AUTHOR
Davoud
Hosseinpour
4
Allameh Tabataba’i University
AUTHOR
Alshekaili, S. & Boerhannoeddin, A., 2011. Human capital approach towards enhancing innovation performance in Omani industrial firms: The role of knowledge management. Progress in Business Innovation & Technology Management, Volume 1, pp. 23-33.
1
Battisti, G. & Stoneman, P., 2010. How innovative are UK firms? Evidence from the fourth UK community innovation survey on synergies between technological and organizational innovations. British Journal of Management, 21(1), pp. 187-206.
2
Clausen, T., Korneliussen, T. & Madsen, E., 2013. Modes of innovation, resources and their influence on product innovation: Empirical evidence from R&D active firms in Norway.. Technovation, 33(6), pp. 225-233.
3
Dakhli, M. & Clercq, D., 2004. Human capital, social capital, and innovation: a multicountry study. Entrepreneureship & Regional Developmen, 16 March.p. 107–128.
4
De Jong, J. & Marsili, O., 2006. The fruit flies of innovations: A taxonomy of innovative small firms. Research policy, 35(2), pp. 213-229.
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Frenz, M. & Lambert, R., 2009. Exploring non-technological and mixed modes of innovation across countries. In: Innovation in Firms. OECD, pp. 69-110.
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Frenz, M. & Lambert, R., 2012. Mixed Modes of Innovation:An Empiric Approach to Capturing Firms' Innovation Behaviour. OECD Science,Technology and Industry Working Papers, 2012/06.
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Hollenstein, H., 2003. Innovation modes in the Swiss sector: a cluster analysis based on firm-level data. Research Policy, 32(5), pp. 845-863.
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Huselid, M., 1995. The impact of human resource management practices on turnover, productivity, and corporate financial performance. Academy of management journal, 38((3),), pp. pp.635-672..
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Jimenez-Jimenez, D. & Sanz-Valle, R., 2005. Innovation and human resource management fit: an empirical study.. International journal of Manpower, 26(4), pp. pp.364-381.
10
Jørgensen, F., Becker, k. & Matthews, J., 2009. Human Resource Management and Innovation: What are Knowledge-Intensive Firms Doing?.
11
Laursen, K. & Foss, N., 2013. Human Resource Managemrnt Practices and Innovation. In: Prepared for the Handbook of Innovation Management. Oxford University Press.
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Leiponen, A. & Drejer, I., 2007. What exactly are technological regimes?: Intra-industry heterogeneity in the organization of innovation activities.. ResearchPolicy, 36(8), pp. 1221-1238.
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Lepak, D. & Snell, S., 2002. Examining the human resource architecture: The relationships among human capital, employment, and human resource configurations. Journal of Management, 28(4), pp. 517-543.
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Marr, B., 2008. Impacting Future Value: How to Manage your Intellectual Capita. CMA Canada.
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رضوی،سید مصطفی،اکبری،مرتضی, 1390. نظام نوآوری. تهران: انتشارات دانشگاه تهران.
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ستاری، س.، 1393. [درون خطی] Available at: http://ayaronline.ir/ 1393/02/58631.html
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26
ORIGINAL_ARTICLE
Investigating the Formation Factors of Technological Spillovers Resulted from Foreign Direct Investment in Iran's Free Trade Zone
Technological spillover at micro-level has always been one of the main works of foreign direct investment. In this paper, we study spillovers and their determining factors in free trade zones. According to the conditions of Iran's free trade zones, technological spillovers in the form of vertical links are chosen as dependent variable and the factors determining technological spillovers, including research and development activities, the presence of qualified and skilled human resources, access to information and communication technologies, and centers for scientific and technical service are selected as independent variables. Due to the limited number of statistical samples, i.e. foreign investor companies in Iran's free trade zones, the method of partial least squares (PLS) is used to test the hypotheses. The results show that all these determinant factors have positive and significant impacts on promotion of vertical links in Iran's free trade zones.
https://www.nowavari.ir/article_14857_10a183c178bd378d77a9c386a8a87771.pdf
2015-11-22
23
46
Foreign direct investment
Technological Spillovers
Technological Spillovers factors
Iran's free trade zones
PLS method
Mahyar
Khadem
khadem.mahyar.mot@gmail.com
1
Islamic Azad University, Science and Research Branch
LEAD_AUTHOR
Mohammad Reza
Razavi
2
Islamic Azad University, Science and Research Branch
AUTHOR
Yeganehsadat
Moosavi Jahromi
3
Payam-e-Noor University
AUTHOR
Aggarwal, 2007. A Impact of Special Economic Zones on Employment, Poverty and Human Development., Indian Council for Reasearch on International Economic Relation, Working Paper.
1
Banga, R., 2003. Do productivity spillovers from Japanese and US FDI differ?. Mimeo. Delhi School of Economics.
2
Blomstro¨m, M. & Sjo¨holm, F., 1999. Technology transfer and spillovers: Does local participation with multinationals matter?. European Economic Review, Volume 43, pp. 915–923.
3
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4
Chin, W., 1988. The partial least squares approach to structural equation modeling. Mahwah, New Jersey: In G.A. Marcoulides (Ed.), Modern methods for business research, Lawrence Erlbaum Associates.
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Dutse, A. Y., Okwoli, A. A. & kurfi, A. K., 2011. Promoting FDI-related Technology Spillover in Nigeria’s Manufacturing Sector: Active-firms Targeted Policy Approach.
6
Farole, T., 2011. Special Economic Zones in Africa: Comparing Performance and Learning from Global Experience., The International Bank for Reconstruction and Development: WB.
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FIAS, 2008. Special economic Zones Performance, Lessons Learned, and Implications for Zone Development. Washington DC: The World Bank Group.
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10
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11
Galina Hale, C. L., 2006. What Determines Technological Spillovers of Foreign Direct Investment: Evidence from China. Economic growth center Yale University P.O.
12
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13
Giovanni, P., 2004. World Economy Technology Spillovers. Department of Economics, University of California, Davis and NBER.
14
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Imad, m., 2002. Foreign Direct Investment Theory, Evidence and practice. First published.
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Lall, S., 1992. Technological Capabilities and Industrialisation. World Development, 20(2), pp. 165-186.
24
Lall, S. & Narula, 2004. FDI and its Role in Economic development: Do we need a new agenda?. The European Journal of Development Research, pp. 447-464.
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Lichtenberg, F. & De la Potterie, V. P., 1996. International R&D Spillovers: A Re-Examination.. NBER Working Paper Series, w5668.
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27
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28
Marin, A. & Bell, M., (2006). Technology Spillovers from Foreign Direct Investment (FDI): an Exploration of the Active Role of MNC Subsidiaries in the Case of Argentina in the 1990s. Journal of Development Studies, Volume 42, pp. 678-697.
29
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31
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Saggi, K., 2000. Trade, Foreign Direct Investment, and International Technology Transfer: A Survey. World Bank Working Paper Series in International Economics.
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Sinani, E. & Meyer, K., 2004. Spillovers of Technology Transfer from FDI: the case of Estonia. Journal of Comparative Economics, Volume 32, pp. 445-466.
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اخلاقی، ب. و بیابانگرد، ح.، 1379. انتقال فناوری و جایگاه آن در سرمایهگذاری خارجی. مدرس. مىرس، صص. 17-34.
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رضایی و تقوی، م.، 1389. تاثیر عواملی بجز سیاست آزادسازی بر جذب سرمایهگذاری مستقیم خارجی در مناطق آزاد تجاری- صنعتی ایران. پژوهشنامه اقتصادی، (1) 10، صص. 15-40.
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طباطبائیان، س. ح. ا.، لطفی، ا. و عامری، ع.، 1384. ارائه مدل تحلیلی عوامل موثر بر سرریز تکنولوژی. مدیر، شماره 16، صص. 91-98.
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غیاثوند، ا.، 1387. کاربرد آمار و نرمافزار SPSS در تحلیل دادهها. تدوین تهران: لویه.
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نیلی، م. و همکاران.، 1382. خلاصه مطالعات طرح استراتژی توسعه صنعتی کشور. تهران: دانشگاه صنعتی شریف.
55
ORIGINAL_ARTICLE
Designing a Capability-Based Model for Defense Need Assessment and Proposing a List of Defense Capability Components for Iran
Nowadays, need assessment is one of the most important inputs to defense acquisition systems in the world. Due to the dynamic, complex and uncertain nature of future environments, the classic approach of need assessment (threat-based) is not effective anymore, therefore, some countries have recently changed their approach from threat-based to capability-based. Using threat-based approach and lack of an integrated and comprehensive model for need assessment impose high costs on defense sector of our country. This study is aimed to present a comprehensive capability-based model for need assessment and extract likely capability components of the country. For this purpose, defensive information related to need assessment of the United States, Australia, Britain and Canada are collected, interpreted, compared and analyzed. Then, their need assessment models are investigated qualitatively by meta-synthesismethod, and finally a capability-based need assessment model is presented for defense field. Also, a list of capability components of the country is proposed.
https://www.nowavari.ir/article_14901_46b81c01252e4dcc0f62cb70b5861206.pdf
2015-11-22
47
74
defense acquisition system
need assessment
Operational Requirements
capability-based approach
threat-based approach
meta-synthesis method
Siamak
Azizzadeh
azizzadeh@hotmail.com
1
Malek Ashtar University of Technology
LEAD_AUTHOR
Mehdi
Fesharaki
2
Malek Ashtar University of Technology
AUTHOR
Siamak
Tahmasebi
tahmasebysiamak@gmail.com
3
Malek Ashtar University of Technology
AUTHOR
Seyed Mohammad Javad
Ghazanfari
4
Malek Ashtar University of Technology,
AUTHOR
Hamidreza
Fartookzadeh
5
Malek Ashtar University of Technology
AUTHOR
Australian Department of Defence, 2006. Defence Capability Development Manual. [Online]
1
Available at: www.defence.gov.au/publications/dcdm.pdf. [Accessed 2015].
2
Biltgen, P., 2007. A Methodology for Capability-Based Technology Evaluation for Systems-of-Systems, Atlanta: Georgia Institute of Technology.
3
Cordesman, A. & Peacock, M., 2015. Military Spending and Arms Sales in the Gulf, Washington: Center for Strategic and International Studies.
4
Davies, H. & Crombie, I., 2009. What is a Systematic Review?, Hayward Medical Communications.
5
Defence Engineering Group, 2002. The Defence Systems Engineering Handbook, London: University College London (UCL).
6
DoD Instruction, 2008. Operation of the Defense Acquisition System Statutory and Regulatory Changes (including policy impacts from DTM 09-007, Implementation of the Weapons System Acquisition Reform Act of 2009), Virginia: American Department of Defense.
7
Eisenhardt, K. M. & Martin, J. A., 2000. Dynamic Capabilities: What Are They?. Strategic Management Journal, Volume 21, pp. 1105–1121.
8
Hagan, G., 2009. Glossary of defense acquisition acronyms & terms. 13th ed. Virginia: The Defense Acquisition University Press.
9
Hamel, G. & Prahalad, C., 1992. The Distinction between Competencies and Capabilities is Purely Semantic. Harvard Business Review, Volume May/June, pp. 164-165.
10
Helfat, C. E. & Peteraf, M. A., 2003. The Dynamic Resource-based View: Capability Lifecycles. Strategic Management Journal, Volume 24, pp. 997–1010.
11
Iacobucci, J., 2012. Rapid Architecture Alternative Modeling (RAAM): a Framework for Capability-based Analysis of System of Systems Architecture, Atlanta: Georgia Institute of Technology, School of Aerospace Engineering,.
12
Jones, P., 2012. Defence Capability Development Handbook, Australian Department of Defence.
13
Major , A. & Godefroy, B., 2007. Chasing the Silver Bullet: The Evolution of Capability Development in the Canadian Army. Canadian Military Journal.
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Noblit, G. & Hare, R., 1988. Meta Ethnography: Synthesizing Qualitative Studies. Thousand Oaks: Sage Publication.
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Schumann , D., 2003. Defense Acquisitions university, Streamlining Defense Acquisitions Management: what is new?.
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Schwartz , M., 2013. Defense Acquisitions: How DOD Acquires Weapon Systems and Recent Efforts to Reform the Process. Virginia: United States Department of Defense.
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Siau , K. & Long , Y., 2005. Synthesizing e-Government Stage Models: a Meta-Synthesis Based on Meta-ethnography Approach. Industrial Management & Data Systems Journal, 105(4), pp. 443-458.
19
Tangen, S., 2009. A Methodology for the Quantification of Doctrine and Materiel Approaches in a Capability-based Assessment, Atlanta: Georgia Institute of Technology, School of Aerospace Engineering.
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Teece, D., Pisano, G. & Shuen, A., 1997. Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(7), pp. 509–533.
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Thomas, J., McNaught , J. & Ananiadou , S., 2011. Applications of Text Mining within Systematic Reviews. Research Synthesis Method, 2(1), pp. 1–14.
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US DOD, 2009. Capabilities-Based Assessment (CBA), User’s GuideVersion 3 Force Structure, Resources, and Assessments Directorate, (JCS J-8), Virginia: United States Department of Defense.
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US DOD, 2012. Manual for the operation of the Joint Capabilities Integration and Development System. Virginia: United States Department of Defense.
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Watkins, R., Meiers, M. & Visser, Y. L., 2012. A Guide to Assessing Needs. Washangton: International Bank for Reconstruction and Development.
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Winter, S. G., 2003. Understanding Dynamic Capabilities. Strategic Management Journal, Volume 24, pp. 991–996.
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استیسی، ر.، 1389. تفکر استراتژیک و مدیریت تحول. تهران: نشر رسا.
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پسندیده، ا. ا.، 1390. بررسی جایگاه مدیریت فناوری در فرایند اکتساب دفاعی انگلستان، تهران: موسسه آموزشی و تحقیقاتی صنایع دفاعی.
28
عبادی، س.، 1389. طراحی نظام تخصیص منابع به پروژههای دفاعی با رویکرد کلنگر مبتنی بر سیستم دستیابی دفاعی، تهران: موسسه آموزشی و تحقیقاتی صنایع دفاعی.
29
فولادی، ق.، 1386. مطالعه تطبیقی تعیین نیاز و مطالبات عملیاتی، موسسه آموزشی و تحقیقاتی صنایع دفاعی: تهران.
30
فولادی، ق. و دهقانی، ح.، 1385. بررسی و تحقیق در مورد الگوهای دریافت نیازهای عملیاتی به منظور پروژههای تحقیقاتی صنعتی و توسعه تکنولوژی و ارائه الگوی مناسب، تهران: موسسه آموزشی و تحقیقاتی صنایع دفاعی.
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گوپتا، ک.، 1384. راهنمای عملی سنجش نیاز در سازمانها. تهران: آییژ.
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نوروزی، ن.، الهی، ش.، حسن زاده، ع. و حاجی حسینی، ح. ا.، 1393. ارائه چارچوبی از ابزارهای سیاستی علم و فناوری با استفاده از رویکرد فراترکیب. مدیریت نوآوری، (2) 3، صص. 123-103.
34
نیومن، و. ل.، 1389. شیوه های پژوهش اجتماعی: رویکردهای کیفی و کمی. تهران: مهربان نشر.
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نیرومند، پ.، رنجبر، م.، سعدی، م. و امیرشاهی، م.، 1391. شناسایی و طبقه بندی الگوهای کسب و کار موبایل مبتنی بر رویکرد فراترکیب. مدیریت فناوری اطلاعات، (10) 4، صص. 201-179.
36
ORIGINAL_ARTICLE
Identifying Factors Affecting the Successful Transfer of Nanotechnology
For successful technology transfer, identifying Industry needs, required technologies, technological resources, transfer methods and its factors are necessary. The purpose of this study is to evaluate and prioritize factors affecting the successful transfer of nanotechnology as an issue concerning the development of Iran. We use an exploratory mixed method in this study and the statistical samples of the qualitative phase are academic and industrial experts of nanotechnology, selected with purposeful sampling until theoretical saturation point is reached. The samples of quantitative PHASE are 83 experts selected by simple random sampling. A semi-structured interview is conducted in the qualitative phase and a questionnaire in the quantitative phase. The collected data are analyzed by SPSS 18 software. According to the results, effective components include knowledge, organizational, technological, communicational, training human resources, and understanding physical environment. These factors have different significances in the receiver and provider organizations. Technological, organizational, knowledge, communicational, training human resources and understanding physical environment components have the highest priorities in the receiver organization, and technological, organizational, communicational, knowledge, understanding physical environment and training human resources have the highest in the provider organization.
https://www.nowavari.ir/article_14903_859a8cf00ec651f5e45c73e703ff2ae6.pdf
2015-11-22
75
96
technology
Technology transfer process
Nanotechnology
successful technology transfer
Morteza
Akbari
mortezaakbari@ut.ac.ir
1
University of Tehran
LEAD_AUTHOR
Leila
Mehrabi Firozabad
2
University of Tehran
AUTHOR
Ali
Mobini Dehkordi
3
University of Tehran
AUTHOR
Allam, A., 2009. Understanding the Concept of Technology Transfer and Sustainable Development in Sudan: An Overview. The Role of Diaspora in Technology Transfer & Sustainable Development in Sudan. SPRU and WASD.
1
Bahagia, S. N., Iridiastadi, H, H. & Iridiastadi, H., 2013. Indonesian Technology Transfer Successful Model with a Macroergonomics Framework. Journal of Applied Sciences Research, 9(4), pp. 2520-2525.
2
Bosselmann, K., 2006. Poverty Alleviation and Environmental Sustainability through Improved Regimes of Technology Transfer. LEAD Journal (Law, Environment and Development Journal), pp. 20-33.
3
Bozeman, B., 2000. Technology Transfer and Public Policy: A Review of Research and Theory. Research Policy, Volume 29, pp. 627-655.
4
Choi, H. J., 2009. Technology Transfer Issues and a New Technology Transfer Model. The journal of technology studies, 35(1).
5
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Walumbwa, O. F., 1999. Rethinking the Issues of International Technology Transfer. The Journal of Technology Studies, 15(2), pp. 51-54.
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Zhu, W., Bartos, P. J. & Porro, A., 2004. Nanotechnology in Construction Materials. Materials and Structures, Volume 37, pp. 649-658.
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اسلامی، ر. 1386. عوامل موفقیت در انتقال فناوری و توسعه صنعتی کشورهای در حال توسعه، صنعت و توسعه. شماره 17.
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خلیل ط.، 1391. مدیریت فناوری: رمز موفقیت در رقابت و خلق ثروت، مترجمان: سیدمحمد اعرابی، و داود ایزدی. دفتر پژوهشهای فرهنگی، تهران، چاپ ششم.
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خمسه، ع. آزادی، آ.، 1390. ارزیابی میزان موفقیت فرآیند انتقال فناوری و تعیین بهترین روش انتقال فناوری با مدل AHP، مطالعه موردی صنایع آذر آب، فصلنامه تخصصی پارکها و مراکز رشد، سال هفتم، شماره 26، بهار.
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رضایی، ر. توحیدلو، ش.ع.، عربیون، ا.، 1392. بررسی موانع توسعه ی کارآفرینی نانوفناورانه در بخش کشاورزی ایران، توسعه کارآفرینی، دوره ششم، شمار اول، بهار 1392، ص 105 - 124.
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رضوی، س.م.. اکبری، م.، جعفراده، م. و زالی، م.، 1392. بازکاوی روش تحقیق آمیخته. دانشگاه تهران. 556 ص. چاپ دوم.
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زهتابچیان. م.ح.، ناصری گیگلو. ع.، 1389. انتقال فناوری، عصر مدیریت، سال چهارم، شماره 14، ص 110.115.
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عربی، س.ع.، 1386. «انتقال و جذب تکنولوژی در جهان سوم»، ماهنامه تدبیر. سال هجدهم. شماره 179، ص 61-64.
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ناظمی، ش.، اخروی، ا.ح. ابراهیمیپور، م.ج.، 1389. ارائه مدل مفهومی انتقال فناوری از دانشگاه به صنعت: رویکرد فرا تحلیلی. دانش و فناوری. سال دوم. شماره 3.
34
ORIGINAL_ARTICLE
Investigating the Role of Talent Management in Organization's Intellectual Capital Development: A Case Study of Iran's PANHA
The purpose of this study is to investigate the role of talent management in Iranian Helicopter Support and Renewal Company (PANHA) intellectual capital development. This study is based on a main hypothesis and three sub-hypothesis which measure the effects of talent management on three intellectual capital factors, including human capital, relational structural capital and organizational structural capital. A sample consisted of 158 individuals (118 talented staff, and 40 deputies and experts of the organization) is selected and analyzed by inferential statistics using descriptive-surveyed research approach. The data is collected using questionnaires. For data analysis, first, we assess the base validity of all indicators using confirmatory factor analysis, and then the research hypotheses are examined by fitted model and structural equations model. The research findings indicate that talent management has positive and meaningful effect on intellectual capital of PANHA. Among the three components of intellectual capital, talent management has also positive and meaningful effect on the two components of human capital and relational structural capital, but has no impact on organizational structural capital.
https://www.nowavari.ir/article_14904_0ca3d857f3431ae46af9f9becfd097a5.pdf
2015-11-22
97
118
Talent Management
intellectual capital
Human capital
relational structural capital
Organization Structural Capital
Iranian Helicopter Support and Renewal Company (PANHA)
Davood
Hossinpour
1
Allameh Tabataba’i University
AUTHOR
Manouchehr
Manteghi
manteghi@ut.ac.ir
2
Malek Ashtar University of Technology
AUTHOR
Sahar
Malekmohamadi
samohamadi_90@yahoo.com
3
Allameh Tabataba’i University
LEAD_AUTHOR
Adamsky, H., 2008. Talent management: something productive this way comes. [Online]
1
Available at: http://www.ere.net/articles/db/76E79D059FEB4637A7F0FBD4439490C6.asp
2
Anwar, A., Ali Nisar, Q., Zubair Ahmad Khan, N. & Sana, A., 2014. Talent Management: Strategic Priority of Organizations. International Journal of Innovation and Applied Studies, 9(3), pp. 1148-1154.
3
Backhous, K. & Tikoo, S., 2004. Conceptualizing and Researching Employer Branding. Career Development International, 9(5), pp. 501-517.
4
Barlow, L., 2006. Talent Development: the New Imperative. Development and Learning in Organizations Journal, 20(3), pp. 6-9.
5
Brunold, J. & Durst, S., 2012. Intellectual Capital Risks and Job Rotation. Journal of Intellectual Capital, 13(2), pp. 178-195.
6
Chabault, D., Hulin, A. & Soparnot, R., 2012. Talent Management in Clusters. Organizational Dynamic, Volume 41, pp. 327-335.
7
Clark, M., Seng, D. & Whiting, R., 2011. Intellectual Capital and Firm Performance in Australia. Journal of Intellectual Capital, 12(4), pp. 505-530.
8
Culson- Thomas, C., 2013. Aiming for the Stars Can Bring an Organization Down to Earth. Human Resource Management International Digest, 21(1), pp. 28-30.
9
Cunningham, I., 2007. Talent Management: Making It Real. Emerald Group, 21(2), pp. 4-6.
10
Iles, P., 2007. Employee Resourcing and Talent Management. In: J. Storey , ed. Human Resource Management: A critical text. London: Thomson Learning, pp. 97-114.
11
Kianto, A., Hurmelinna-Laukkanen, P. & Ritala, P., 2010. Intellectual Capital in Service- and Product- oriented. Journal of Intellectual Capital, 11(3), pp. 306-325.
12
Maxwell, G. & Mclean, S., 2008. Talent Management in Hospitality and Tourism in Scotland. International Journal of Contemporary Hospitality Management, 20(7), pp. 820-830.
13
Sanchez- Canizares, S., Angel Ayuso Munoz Miguel, L. & Guzman, T., 2007. Organizational Culture and Intellectual Capital: A New Model. Journal of Intellectual Capital, 8(3), pp. 409-430.
14
احمدیان، م. و قربانی، ر.، 1392. بررسی رابطه بین سرمایه فکری و عملکرد سازمانی: مورد مطالعه وزارت امور اقتصاد و دارایی. مجله اقتصادی، جلد 11/12، صص. 130-112.
15
اورعی یزدانی، ب. و مولودی، ج.، 1389. بررسی و مطالعه رابطه بین سرمایه فکری و عدالت سازمانی. پژوهشهای مدیریت، (10) 3، صص. 69-82.
16
آذر، م.، الوانی، م. و حسین پور، د.، 1390. بهبود ساختار بر پایه سرمایه فکری و اجتماعی. نشریه بانک توسعه صادرات ایران، جلد 96-97، صص. 47-51.
17
پور کیانی، م. و ملازاده، م.، 1391. شیوه های اندازه گیری سرمایه فکری. راهبرد یاس، جلد 30، صص. 195-212.
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جوکار دهویی، م.، 1391. تحلیل رابطه بین مدیریت استعداد و ارزیابی عملکرد کارکنان نخبه با استفاده از تکنیک تحلیل پوششی دادهها DEA، تهران: دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی.
19
حاجی کریمی، ع. و سلطانی، م.، 1390. بررسی و تحلیل عوامل سنجش مدیریت استعداد (مطالعه موردی صنعت ماشینآلات و تجهیزات صنعتی ایران)». مدیریت فرهنگ سازمانی، (23) 9، صص. 95-116.
20
حسنوی، ر. و رمضان، م.، 1390. افزایش سرمایه فکری در سازمان: بررسی نقش یادگیری سازمانی. بهبود مدیریت، (1) 5، صص. 39-25.
21
حسینی، ا.، 1389-1390. نقش مدیریت استعداد در تأمین و حفظ منابع انسانی مستعد. فصلنامه اقتصاد و تجارت نوین، 23/24(4/1)، صص. 205-181.
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خاوندکار، ج.، خاوندکار، ا. و متقی، ا.، 1388. سرمایه فکری- مدیریت توسعه، مدلهای سنجش. تهران: انتشارات مرکز آموزش و تحقیقات صنعتی ایران.
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رضائیان، ع. و سلطانی، ف.، 1388. معرفی مدل جامع و سیستمی مدیریت استعداد جهت بهبود عملکرد فردی کارکنان صنعت نفت. فصلنامه مدیریت و منابع انسانی در صنعت نفت، (8) 3، صص. 7-50.
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سلیمی، ق. و راثیان، ز.، 1390. ارائه چارچوب مفهوی ارزیابی سرمایه فکری در آموزش عالی: رهیافتی برای مراکز آموزش عالی فنی مهندسی. فصلنامه آموزش مهندسی ایران، (49) 13، صص. 19-41.
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صیادی، س.، محمدی، م. و نیک پور، ا.، 1390. مدیریت استعداد، مفهومی کلیدی در حوزه سازمانی. ماهنامه کار و جامعه، جلد 135، صص. 81-86.
26
صیادی، س.، محمدی، م. و نیک پور، ا.، 1391. بررسی رابطه بین مدیریت استعداد و رضایت شغلی کارکنان در ستاد مرکزی صندوق تأمین اجتماعی. فرآیند مدیریت توسعه، (2) 25.
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طهماسبی، ر.، قلی پور، آ. و جواهری زاده، ا.، 1391. مدیریت استعدادها: شناسایی و رتبهبندی عوامل موثر بر جذب و نگهداشت استعدادهای علمی. پژوهشهای مدیریت عمومی، (17) 5.
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عباسی، ا. و گلدی صدقی، ا.، 1389. بررسی تاثیر کارایی عناصر سرمایه فکری بر عملکرد مالی شرکتها در بورس تهران. بررسیهای حسابداری و حسابرسی، (2) 17، صص. 74-57.
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عسکری باجگرانی، م.، شائمی، ع. و علامه، س. م.، 1390. سنجش سطح حاکمیت استراتژی مدیریت استعداد در شهرداری شهر اصفهان. مدیریت شهری، جلد 28، صص. 277-286.
30
کلانتری، خ.، 1388. مدلسازی معادلات ساختاری در تحقیقات اجتماعی- اقتصادی (با برنامه SIMPLIS LISREL). تهران: فرهنگ مصفا.
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معالی تفتی، م. و تاج الدین، م.، 1387. نگهداشت استعدادها در سازمان به کمک فرایند اجتماعی کردن. تدبیر، شماره 194، صص. 75-74.
33
موغلی، ع. و یداللهی، س.، 1393. بررسی تاثیر نظام مدیریت استعداد بر جانشن پروری در سازمانهای دولتی شهر شیراز. تهران، موسسه اطلاعرسانی نارکیش.
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مهرابی، ا.، همتی، ح. و رحیمیان، ن. ا.، 1389. بررسی ارتباط بین سرمایه فکری و بازده مالی شرکتهای پذیرفته شده در بورس اوراق بهادار. پیام دریا، جلد 192، صص. 56-61.
35
میرکمالی، م. و ظهور پرونده، و.، 1387. مدیریت سرمایه فکری ضرورتی برای سازمانهای عصر دانایی محور. پیام مدیریت، جلد 28، صص. 81-105.
36
نادر علی، م.، 1389. رابطه مدیریت استعداد با رضایتمندی، تمایل به ترک و موفقیت در مسیر شغلی، تهران: دانشکده مدیریت و حسابداری، دانشگاه علامه طباطبایی.
37
ORIGINAL_ARTICLE
Presenting a Model for Analyzing the Risks of Strategic and Technological Alliances
Technological alliance is an intelligence solution to obtaining the strategic goals of firms. While the trend of this type of collaboration is increasing, the failure rate is still high. The high rate of risk is due to the nature of internal cooperation of organizations in technological alliance. Most analytical methods and models consider the sources of risk in alliance process in two types: relational and functional risks. In this paper, the resources of risk are identified in the phases of strategic alliance process based on the literature. Then the level of importance of differenr phases of alliance and their influence on the success of alliance is weighted in a checklist by expert panel through Delphi technique. The method used in this study is design science with method output and design precision strategy using two Delphi panel rounds. The results show that risk factors in each phases of alliance are not the same and also the same risk factors in different phases of alliance process do not have the same weights. The aim of this paper is to present a flexible, dynamic and reliable method for alliance risk assessment, including identification, analysis and evaluation of risk resources. Proposing a structured method that can predict and estimate the level of risk for each phase of alliance based on the opinions of the employees and stakeholders of two sides of alliance is a significant result of this study.
https://www.nowavari.ir/article_14905_6258eb20f9a24efb190934c2f4018904.pdf
2015-11-22
119
140
the risk of alliances
Technological Strategic Alliances
the failure of alliances
Risk Assessment Model
Nima
Mokhtarzadeh
mokhtarzadeh@ut.ac.ir
1
University of Tehran
AUTHOR
Shapor
Keramat
keramat@ut.ac.ir
2
University of Tehran
LEAD_AUTHOR
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