نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری گروه مدیریت تکنولوژی، دانشکده مدیریت و اقتصاد، واحد علوم و تحقیقات، دانشگاه آزاد اسلامی، تهران، ایران
2 دانشیارگروه مدیریت صنعتی، واحدکرج، دانشگاه آزاد اسلامی،کرج، ایران
3 دانشیار، گروه مدیریت، واحد شیراز، دانشگاه آزاد اسلامی، شیراز، ایران
چکیده
امروزه به دلیل پیشرفتهای فناورانه، بسیاری از گیرندگان پیشین فناوری بهعنوان انتقالدهنده فناوری عمل مینمایند و این امر پیچیدگیهای جدیدی در فرآیند انتقال فناوری ایجاد کرده است. لذا این پژوهش به دنبال پاسخ به این سؤال است که ابعاد و مؤلفههای مؤثر بر انتقال فناوری از دیدگاه انتقالدهنده فناوری کدماند؟ در این پژوهش، از رویکرد مرور نظاممند ادبیات با بهرهگیری از روش فراترکیب مبتنی بر دستورالعمل سندلوفسکی و باروسو استفاده شده است. طی مرور نظاممند 188 مقاله اولیه، درنهایت 33 مقاله مرتبط باهدف پژوهش انتخاب شدند. معیارهای ورود شامل مقالات منتشرشده در خصوص انتقال فناوری از دیدگاه دهنده فناوری بین سالهای 2008 تا 2024 برای مقالات انگلیسی و 1398 تا 1403 برای مقالات فارسی بوده است. برای ارزیابی پایایی یافتهها از ضریب کاپا استفاده شده است که مقدار 75/0 پایایی قابل قبولی را نشان میدهد. برای اعتبارسنجی مدل پیشنهادی و افزایش مقبولیت آن، از روشهای بررسی توسط متخصصان این زمینه استفاده و نتایج بهدستآمده توسط آنان بررسی و تأیید شده است. بر اساس یافتهها، مهمترین ابعاد تأثیرگذار بر انتقال فناوری از منظر انتقالدهنده فناوری، شامل 127 مؤلفه که در 12 بعد اصلی شامل قوانین و سیاستها، ظرفیت جذب فناوری، فرهنگ، عوامل اقتصادی، همکاری و ارتباطات، تجاریسازی فناوری، منابع انسانی، آموزش، مالکیت فکری، انطباق فناوری، ارزیابی فناوری، جذب و تحلیل فناوری دسته بندی شدهاند.
کلیدواژهها
موضوعات
عنوان مقاله [English]
Analyzing the Dimensions and Components Affecting Technology Transfer from the Perspective of the Technology Transferor: with Meta-Synthesis Method
نویسندگان [English]
- Fariba Ahmadpanah 1
- Abbas khamseh 2
- Seyyed Javad Iranban Fard 3
1 Ph.D. Student, Department of Technology Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran
2 Associate Professor, Department of Industrial Management, Karaj Branch, Islamic Azad University, Karaj, Iran
3 Associate Professor, Department of Management, Shi.C., Islamic Azad university, Shiraz, Iran.
چکیده [English]
Nowadays, due to technological advances, many technology recipients act as technology providers, which has created new complexities in the technology transfer process. Therefore, this study seeks to answer the question of what the dimensions and components are that affect technology transfer from the perspective of the transferor. In this study, Sandelowski and Barroso's meta-synthesis qualitative approach was used. During a systematic review of 188 initial articles, 33 articles related to the research objective were finally selected. The inclusion criteria comprised articles published from the perspective of the technology provider between 2008 and 2024. The kappa coefficient was used to assess the reliability of the findings, which showed an acceptable reliability of 0.75. To validate the proposed model and increase its acceptability, review methods were used by experts in this field. The results identified 127 components in 12 main dimensions. They are categorized into laws and policies, technology absorptive capacity, culture, economic factors, cooperation and communication, technology commercialization, human resources, training, intellectual property, technology adaptation, technology assessment, and technology absorption.
Introduction
Over the past two decades, the trend of technology transfer has changed significantly. Emerging economies, such as Brazil and India, once primarily recipients of imported technologies, have emerged as key players in the global technology transfer landscape, increasingly acting as transferors (Lee, 2013). Despite extensive research on technology transfer, the literature has predominantly focused on the recipient’s perspective. This study aims to address this research gap by systematically identifying and categorizing the dimensions and components that impact technology transfer from the perspective of the transferor. By conducting a systematic literature review, this study develops a theoretical framework that not only lays the groundwork for future measurement tools but also ensures practical applicability in developing economies, such as Iran, through expert validation. This research provides a structured categorization of key factors, offering both theoretical insights and practical implications for improving policymaking in technology transfer initiatives.
esearch Background
The literature on technology transfer from the transferor’s perspective, though limited, provides critical insights into the factors influencing the process. Olakada et al. (2024) investigated the impact of technology transfer on the performance of Nigeria’s oil and gas sector through technology licensing, emphasizing dimensions such as the type of technology, licensing conditions, technical support, transparency, trust, and the institutional environment. Similarly, Sampson (2024) identified the risk of imitation, value chain type, contract type, intellectual property policies, technology development, and institutional frameworks as key determinants affecting technology transfer from the transferor’s viewpoint. In the pharmaceutical industry, Pajayatil et al. (2023) highlighted factors critical to successful technology transfer from the transferor’s perspective, including documented knowledge, employee training, analytical methods, collaboration and coordination, initial assessments and redesign, production and packaging methods, and equipment and machinery. Hipp et al. (2024), in their examination of barriers to technology transfer, underscored the influence of economic factors, international collaborations, knowledge production, accumulation, and dissemination on the transfer process.
Method
This study, aiming to identify the dimensions and components influencing technology transfer from the transferor’s perspective, employed an applied, qualitative approach based on systematic literature review and meta-synthesis, following the seven-stage model of Sandelowski and Barroso (2007). Data were collected from credible journals, databases, and institutional websites. The time frame covered English articles from 2008 to 2024 and Persian articles from 1398 to 1403. From an initial set of 188 articles, 59 were selected based on relevance and alignment with research objectives. These were evaluated using the 32-item COREQ checklist, leading to the selection of 33 high- and medium-quality articles for final analysis. To assess reliability, the kappa coefficient was applied, yielding a value of 0.75, indicating strong inter-rater agreement. Model validation involved a multi-stage expert review process. A panel of five experts—with master’s or doctoral degrees and over a decade of experience in technology transfer—was purposefully selected. Data were gathered through in-depth interviews across several sessions using triangulation, iterative reviews, and peer validation. Experts were chosen based on academic background and practical experience. Their feedback refined the conceptual framework, ensuring both reliability and contextual applicability, particularly in developing countries.
Discussion and Results
This study aimed to identify the dimensions and components influencing technology transfer from the provider’s perspective, offering a comprehensive view of its complexity. Economic factors—such as export volume, inflation, and exchange rates—directly impact provider decisions by shaping financial frameworks and offering participation incentives. Supportive legal structures and transparent policies are also essential, as they foster trust and streamline bureaucratic processes. Organizational culture emerged as another key factor; unmanaged cultural differences between provider and recipient can hinder effectiveness. Strengthening mutual understanding and intercultural communication is thus vital. Additionally, the recipient’s absorptive capacity significantly affects success. Organizations with robust infrastructure and knowledge systems are better positioned to integrate new technologies. Qualified and continuously trained human resources are foundational for transferring both explicit and tacit knowledge. Effective commercialization is equally important; technology must have market viability and economic potential, necessitating solid marketing strategies and opportunity assessments. Intellectual property rights also play a central role—clear legal protections enhance provider willingness by minimizing risks of misuse or unauthorized replication. Technology assessment—including competitiveness, complexity, and applicability—is crucial for preparing technologies for transfer and reducing uncertainties. The provider actively participates in the absorption phase by delivering structured knowledge, including models, design elements, and technical components, aligned with contractual terms. Technological adaptation is another critical dimension. Aligning imported technologies with local standards, culture, and resources improves their effectiveness and sustainability. Finally, successful transfer depends on collaboration among governments, providers, recipients, research centers, and industries. Enhancing such cooperation supports knowledge sharing, process refinement, opportunity recognition, cost efficiency, and productivity growth.
Conclusion
This study employed a meta-synthesis approach to explore the key dimensions and components influencing technology transfer from the provider’s perspective. Through the systematic review of 33 selected articles, 127 initial conceptual codes were extracted, leading to the identification of 12 core components forming a conceptual framework that clarifies the complex dynamics of the transfer process in both national and international contexts. The findings emphasize the crucial role of organizational culture, effective collaboration with recipients, and human capital development. These components, if optimized, can significantly enhance technology transfer initiatives within Iranian tech-based organizations. Policymakers can also draw on the conceptual insights to refine support structures and policies. Legal and regulatory frameworks, intellectual property rights, commercialization, and economic factors emerged as vital enablers. These dimensions help identify structural barriers and shape targeted interventions, particularly in cross-border technology transfer projects. While grounded in qualitative analysis and theoretical modeling, this framework offers practical applications—such as developing assessment checklists and operational indicators based on the identified components. However, the absence of empirical validation marks a key limitation. Future studies should employ field-based methods and structured techniques like fuzzy Delphi and agent-based simulation (e.g., using AnyLogic) to test and localize the framework. Additionally, since the components were not prioritized, multi-criteria decision-making methods like WASPAS are recommended to rank factors and guide the development of a more effective, context-specific operational model for technology transfer.
کلیدواژهها [English]
- Technology Transfer
- Technology Transfer Process
- Technology Transfer Dimensions
- Technology Transferor
- . زمانی، آرزو، خمسه، عباس، و ایرانبان فرد، سید جواد. (1403). واکاوی ابعاد و مؤلفههای انتقال فناوری در بستر صنعت پنج: رویکرد کارآفرینی فناورانه. مجله پژوهشهای کارآفرینی. 3 (1)، 1 -18. https://doi.org/10.22034/jer.2024.2025559.1091
- بابایی، محسن، خمسه، عباس، و حسینی شکیب، مهرداد. (1402). ارائه مدل انتقال تکنولوژی پایدار در صنعت حملونقل ریلی با رویکرد آمیخته. فصلنامه علمی پژوهشنامه حملونقل، 20 (2)، 75.
- چراغعلی، وادیه، خمسه، عباس، و رادفر، رضا. (1402). تدوین الگوی اکوسیستم تجاریسازی پژوهشهای بخش کشاورزی. مطالعات کارآفرینی و توسعه پایدار کشاورزی،10(۳)،1402. https://doi.org/10.22069/jead.2023.20919.1684
- سلطانزاده، رامین، و همکاران. (1402). تجاریسازی تکنولوژیهای تشخیصی کووید-19: مروری بر چالشها، عوامل موفقیت، و بینشهایی از سود حاصل از چارچوب نوآوری.. Technovation, 130 (2024) 102903 https://doi.org/10.1016/j.technovation.2024.102903
- زمانی، آرزو و خمسه، عباس. (1401). شناسایی ابعاد و مؤلفههای تأثیرگذار بر انتقال فناوری با تمرکز بر تحول دیجیتال. فصلنامه مدیریت توسعه فناوری،10(3)،57-90. https://doi.org/10.22034/JTDM.2023.5698.3032
- بغدادی، سعید، خمسه، عباس و مدنی، سید حسامالدین. (1402). مدل توسعه قابلیت تجاریسازی و انتقال تکنولوژی در صنعت نفت و گاز ایران. فصلنامه مطالعات راهبردی در صنعت نفت و انرژی، 15 (58)، 1-16.
- صادقی مرزناکی، یدالله، خمسه، عباس و حسینی شکیب، مهرداد. (1400). رویکرد دینامیک سیستم برای بررسی ظرفیتهای انتقال فناوری در صنعت لوله و اتصالات پلیمری ایران. Technology Analysis & Strategic Management, 36(111), 1–17. https://doi.org/10.1080/09537325.2022.2037544
- صادقی مرزناکی، یدالله، خمسه، عباس و حسینی شکیب، مهرداد. (1403). شناسایی و اولویتبندی تواناییهای کلیدی تأثیرگذار بر موفقیت انتقال تکنولوژی در صنایع پاییندستی پتروشیمی. نشریه علمی پژوهشی مدیریت فردا، 19 (65).
- صادقی مرزناکی، یدالله، حسینی شکیب، مهرداد، خمسه، عباس و ترابی، تقی. (1400). ارائه الگوی نوآورانه تواناییهای انتقال فناوری در صنایع پتروشیمی ایران. پژوهشهای مدیریت عمومی، 14(53)، 226-199. DOI: 10.22111/JMR.2020.33936.5043
- خلیلی، زهرا. (2020). شناسایی و رتبهبندی استراتژیهای مناسب برای انتقال مؤثر فناوری در صنعت خودروسازی: شواهدی از ایران., Technology in Society 62 (2020) 101264. https://doi.org/10.1016/j.techsoc.2020.101264
- موسوی، مهدیه سادات، مؤمنی، فرشاد. (1401). اراده سیاسی توسعهخواه: فرایند انتقال فناوری رهاییبخش. مجله دوفصلنامه توسعه علوم انسانی، 3 (6)، 43-72.
- Sampson, T. (2024). Technology transfer and global value chains. American Economic Journal: Microeconomics, 16(2), 103–146. https://doi.org/10.1257/mic.20220016
- Olawore, A., Wonga, K., & Ma'aram, A. (2023). Prioritization of technology commercialization success factors using fuzzy best worst method. Journal of Open Innovation: Technology, Market and Complexity, 9, 100096.DOI: 10.1016/j.joitmc.2023.100096
- Corsi, A., Souza, F., & Pagani, R. (2021). Technology transfer oriented to sustainable development: Proposal of a theoretical model based on barriers and opportunities. Scientometrics, 6, 5081-5112. https://doi.org/10.1007/s11192-021-03969-0
- Raslan, R. (2021). Climbing up the ladder: Technology transfer-related policies in the context of the Belt and Road Initiative. Utrecht Law Review, 17(3), 19–43. https://doi.org/10.36633/ulr.922
- Pandey, K., Joshi, H., Paliwal, S., Pawar, S., & Kumar, N. (2020). Technology transfer: An overview of process transfers from development to commercialization. International Journal of Current Research and Review, 12(19), 188–192. https://doi.org/10.31782/IJCRR.2020.121913
- Lee, S., & Shvetsova, O. A. (2019). Optimization of the technology transfer process using Gantt charts and critical path analysis flow diagrams: Case study of the Korean automobile industry. Processes, 7(12), 917. https://doi.org/10.3390/pr7120917
- Waroonkun, T., & Stewart, R. A. (2008). Modeling the international technology transfer process in construction projects: Evidence from Thailand. The Journal of Technology Transfer, 33(2), 192–215. https://doi.org/10.1007/s10961-007-9043-1
- Urban, F. (2018). Challenging the North-South technology transfer paradigm for climate change mitigation and low carbon energy. Energy Policy, 113, 320–333. https://doi.org/10.1016/j.enpol.2017.11.007
- Han, J.-S., & Lee, S.-Y. T. (2012). The impact of technology transfer contract on a firm’s market value in Korea. The Journal of Technology Transfer, 33(2), 192–215. https://doi.org/10.1007/s10961-012-9257-8
- De Prato, G., & Nepelski, D. (2013). International technology transfer between China and the rest of the world. European Commission, Joint Research Centre, Institute for Prospective Technological Studies. Institute for Prospective Technological Studies Working Paper, EUR 25960 EN. https://doi.org/10.2791/12741
- Lee, S., & Shvetsova, P. (2019). Optimizing technology transfer processes using Gantt charts and critical path analysis: A case study in the automotive industry. Processes, 7(11), 917. doi:10.3390/pr7120917
- Hipp, A., Jindra, B., & Medase, K. (2024). Overcoming barriers to technology transfer: Empirical evidence from the German Democratic Republic. Journal of Technology Transfer, 49, 1787-1821. https://doi.org/10.1007/s10961-023-10055-5
- Gunsel, A., Dodourova, M., & Ergün, A. (2018). Research on effectiveness of technology transfer in technology alliances: Evidence from Turkish SMEs. Technology Analysis & Strategic Management, 31(3), 279-291. https://doi.org/10.1080/09537325.2018.1495836
- Amoussohoui, R., Arouna, A., & Bavorova, M. (2022). A business model for sustainable agricultural technology transfer. Technology in Society, 68, 101901. https://doi.org/10.1016/j.techsoc.2022.101901
- Haessler, P., Giones, F., & Brem, A. (2023). The who and how of commercializing emerging technologies: A technology-focused review. Technovation, 121, 102637. https://doi.org/10.1016/j.technovation.2022.102637
- Alkhazaleh, R., Mykoniatis, K., & Alahmer, A. (2022). The success of technology transfer in the Industry 4.0 era: A systematic literature review. Journal of Open Innovation: Technology, Market and Complexity, 8(4), 202. https://doi.org/10.3390/joitmc8040202
- Salanță, I. I., Beleiu, I., & Mihăilă, A. (2018). Technology transfer related concepts. Review of International Comparative Management, 19(4), 422–432. https://doi.org/10.24818/RMCI.2018.4.422
- Da Silva, V., Kovaleski, J., & Pagani, R. (2021). Fundamental elements in technology transfer: An in-depth analysis. Technology Analysis & Strategic Management, 34(2). https://doi.org/10.1080/09537325.2021.1894328
- Lavoie, R., & Daim, T. (2020). Technology transfer evaluation: Driving organizational changes through a hierarchical scoring model. IEEE Transactions on Engineering Management, 99, 1-15. https://doi.org/10.1109/TEM.2020.3042452
- Lee, S., Kim, B., & Kim, Y. (2017). The framework for factors affecting technology transfer for suppliers and buyers of technology in Korea. Technology Analysis & Strategic Management, 30(2), 1-14. https://doi.org/10.1080/09537325.2017.1297787
- Cho, D., & Shenkoya, T. (2019). Technology transfer: Economic factors that influence transferor and transferee’s choice. Technology Analysis & Strategic Management, 32(6), 621-633. https://doi.org/10.1080/09537325.2019.1687873
- Olakada, N., Adewale, B., & George, S. (2024). Understanding technology transfer mechanisms: Assessing impact of technology licensing on performance of Nigerian oil and gas industry. Journal of Human Resource and Sustainability Studies, 12, 110–131. https://www.scirp.org/journal/jhrss