- حاجی غلام سریزدی، علی. (1399). پویایی تغییرات سطح فناوری شرکتهای فناور در پارک علم و فناوری یزد. مدیریت نوآوری، 9(2)، 63 – https://dorl.net/dor/20.1001.1.23225386.1399.9.2.3.3
- خمسه، عباس و بهروزی، علیرضا. (1396). شناسایی و بررسی عوامل کلیدی مؤثر بر رصد تکنولوژیهای پیشرفته آینده در مراکز طراحی هوافضا. آیندهپژوهی دفاعی، 2(7)، 129 –http://www.dfsr.ir/article_33784.html
- میرشاه ولایتی، فرزانه و نظری زاده، فرهاد. (1398). الگوی دیدبانی فناوری: فرایند و ساختاری برای رصد تحولهای فناورانه. آیندهپژوهی دفاعی، 4(13)، 41– doi:10.22034/dfsr.2019.36542
- نظامیپور، قدیر، طبائیان، سیدکمال، الهی، سیدمجید، ناظمی، امیر و میرشاه ولایتی، فرزانه. (1395). معرفی معیارهای دیدبانی فناوری بهعنوان ابزار آیندهپژوهی.راهبرد دفاعی، 14(1)، 137 – https://ds.sndu.ac.ir/article_231.html?lang
References
- Abramov, O., Fimin, P., & Smirnova, E. (2019). Technology scouting in chemistry: roadmap and case studies. Proceedings of MATRIZ TRIZfest-2019 International Conference. September 11-14, 2019. Heilbronn, Germany. 319-326.
- Ahammad, M.F., Basu, S., Munjal, S., Clegg, J., & Shoham, O.B. (2021). Strategic agility, environmental uncertainties and international performance: The perspective of Indian firms. Journal of World Business, 56(4), 101218. https://doi.org/10.1016/j.jwb.2021.101218
- Armenia, S., Franco, E., Iandolo, F., Maielli, G., & Vito, P. (2024). Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management. Technological Forecasting and Social Change, 200, 123131. https://doi.org/10.1016/j.techfore.2023.123131
- Benkhider, N., & Meziani, M. (2021). Digital transformation process based-technology infrastructure and employee training evidence from World Bank. Recherchers Economiques Manageriales, 15(1): 537-552. https://www.asjp.cerist.dz/en/article/153140
- Brügmann, S., Bouayad-Agha, N., Burga, A., Carrascosa, S., Ciaramella, A., Ciaramella, M., Codina-Filba, J., Escorsa, E., Judea, A., Mille, S., Müller, A., Saggion, H., Ziering, P., Schütze, H., & Leo, W. (2015). Towards content-oriented patent document processing: Intelligent patent analysis and summarization. World Patent Information, 40: 30-42. https://doi.org/10.1016/j.wpi.2014.10.003
- Cascio, W.F., & Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3: 349-375. https://doi.org/10.1146/annurev-orgpsych-041015-062352
- Cho, Y., & Daim, T. (2013). Technology Forecasting Methods. Research and Technology Management in the Electricity Industry: Methods, Tools and Case Studies (pp.67-112), Edition: 2013, Publisher: Springer.
- D’Almeida, L., Bergiante, N.C.R., Ferreira, G.S., Leta, F.R., Campos Lima, C.B., Alves Lima, G.B. (2022). Digital transformation: a review on artificial intelligence techniques in drilling and production applications. The International Journal of Advanced Manufacturing Technology, 119: 5553–5582. https://doi.org/10.1007/s00170-021-08631-w
- de Weck, O.L. (2022). Technology Scouting. In: Technology Roadmapping and Development. Springer, Cham. https://doi.org/10.1007/978-3-030-88346-1_14
- Dzhengiz, T., & Niesten, E.(2020). Competences for environmental sustainability: A systematic review on the impact of absorptive capacity and capabilities. Journal of Business Ethics, 162: 881–906. DOI: 10.1007/s10551-019-04360-z
- Evangelista, , Ardito, L., Boccaccio, A., Fiorentino, M., Petruzzelli, A.M., Uva, A.E. (2020). Unveiling the technological trends of augmented reality: A patent analysis. Computers in Industry, 118, 103221. http://dx.doi.org/10.1016/j.compind.2020.103221
- Gonçalves, L.R., & Almeida, F.C. (2018). How technology intelligence is applied in different contexts? International Journal of Innovation, 7(1): 104-118. http://dx.doi.org/10.5585/iji.v7i1.393
- Guida, M., Caniato, F., Moretto, A., & Ronchi, S.(2023). Artificial intelligence for supplier scouting: an information processing theory approach. International Journal of Physical Distribution & Logistics Management, 53(4): 387-423. https://doi.org/10.1108/IJPDLM-12-2021-0536
- Halicka, K. (2017). Main concepts of technology analysis in the light of the literature on the subject. Procedia Engineering, 182: 291–298. https://doi.org/10.1016/j.proeng.2017.03.196
- Jaehyeong, A., Kim, K., Mortara, L., & Lee, (2018). Deriving technology intelligence from patents: Preposition-based semantic analysis. Journal of Informetrics, 12: 217-236. DOI: 10.1016/j.joi.2018.01.001
- Kerr, C., & Phaal, R. (2018). Directing the technology intelligence activity: An ‘information needs’ template for initiating the search. Technological Forecasting & Social Change, 134: 265-276. DOI: 10.1016/j.techfore.2018.06.033
- Kim, M., Park, Y., & Yoon, J. (2016). Generating patent development maps for technology monitoring using semantic patent-topic analysis. Computers & Industrial Engineering, 98: 289–299. https://doi.cir-mcs.e.corpintra.net/10.1016/j.cie.2016.06.006
- Kujawa, K.A., Paetzold, K. (2019). External technology searching methods: A literature review. International Conference on Engineering Design, ICED19, 5-8 AUGUST 2019, Delft, Netherlands. https://doi.org/10.1017/dsi.2019.232
- Leachu, S., Clemens, F., Stich, V. (2022). Development of a pre-competitive business model for AI-Based autonomous technology scouting. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover: publish-Ing., 2022, S. 612-621. DOI: https://doi.org/10.15488/12163
- Loseto, G., Scioscia, F., Ruta, M., Gramegna, F. et al. (2023). A Cloud-Edge Artificial Intelligence Framework for Sensor Networks. 2023 9th International Workshop on Advances in Sensors and Interfaces (IWASI), Monopoli (Bari), Italy, 149-154, doi: 10.1109/IWASI58316.2023.10164335.
- Madani, F., & Khormaei, R. (2013). Overview of evolution in study of external technology search. In 2013 Proceedings of PICMET'13: Technology Management in the IT-Driven Services (PICMET) (pp. 2058-2060). IEEE.
- Manzini, R., & Nasullaev, A. (2017). Technology intelligence in practice: A systematic literature review of empirical studies and agenda for further research. http://dx.doi.org/10.25428/2532-554X/2
- Mariani, M.M., Machado, I., Magrelli, V., Dwivedi, Y.K. (2023). Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions. Technovation, 122: 102623. https://doi.org/10.1016/j.technovation.2022.102623
- Mühlroth, C., & Grottke, M. (2022). Artificial intelligence in innovation: How to spot emerging trends and technologies, in IEEE Transactions on Engineering Management, 69(2), 493-510, doi: 10.1109/TEM.2020.2989214.
- Nasullaev, A., Manzini R., & Kalvet, B. (2020). Technology intelligence practices in SMEs: Evidence from Estonia. Journal of Intelligence Studies in Business, 10(1): 6-22. https://doi.org/10.37380/jisib.v1i1.560
- Pantano, E., & Pizzi, G. (2020). Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis. Journal of Retailing and Consumer Services, 55, 102096. https://doi.org/10.1016/j.jretconser.2020.102096
- Peter, M., Grivas, S., Horn, D., Rüegg, F., Barba, R., & Graf, M. (2019). The technology matrix – A tool-based method for technology scouting. 131-138. http://dx.doi.org/10.33965/is2019_201905L017
- Porter, A.L., & Cunningham, S.W. (2005), Tech Mining: Exploiting New Technologies for Competitive Advantage. John Wiley & Sons, Inc, Hoboken, NJ, USA. https://doi.org/10.1002/0471698466.ch10
- Reez, N. (2021). Foresight-based leadership. Decision-making in a growing AI environment. In: Jacobs, G., Suojanen, I., Horton, K., Bayerl, P. (eds) International Security Management. Advanced Sciences and Technologies for Security Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-42523-4_22
- Rodriguez-Salvador, M., & Castillo-Valdez, P.F. (2021). Integrating science and technology metrics into a competitive technology intelligence methodology. Journal of Intelligence Studies in Business, 11(1): 69-77. https://doi.org/10.37380/jisib.v1i1.696
- Sahoo, S., Kumar, S., Donthu, N., Kumar Singh, A. (2024). Artificial intelligence capabilities, open innovation, and business performance – Empirical insights from multinational B2B companies. Industrial Marketing Management, 117: 28-41. https://doi.org/10.1016/j.indmarman.2023.12.008
- Sandelowski, M., & Barroso, J. (2007). Handbook for Synthesizing Qualitative Research. New York: Springer Publishing Company. https://doi.org/10.4236/crcm.2022.118046
- Schilling, M.A., & Esmundo, M. (2009). Technology S-curves in renewable energy alternatives: Analysis and implications for industry and government. Energy Policy, 37(5): 1767–1781. https://doi.org/10.1016/j.enpol.2009.01.004
- Schuh, G., Hicking, J., Stroh, M.F., & Benning J (2020). Using AI to Facilitate Technology Management – Designing an Automated Technology Radar. In 53rd CIRP Conference on Manufacturing Systems, Procedia CIRP 93 (2020): 419–424. Science Direct. http://dx.doi.org/10.1016/j.procir.2020.04.089
- Schuh, G., Boßmeyer, H.J., & Bräkling, A. (2021). Data-driven technology management supported by artificial intelligence solutions. Journal of Production Systems and Logistics, 1(4). DOI: https://doi.org/10.15488/10528
- Sikandar, H., Vaicondam, Y., Khan, N., Qureshi, M.I., & Ullah A (2021). Scientific mapping of industry 4.0 research: A bibliometric analysis. International Journal of Interactive Mobile Technologies (iJIM), 15(18): 129-147. https://doi.org/10.3991/ijim.v15i18.25535
- Stahl, B. C., Brooks, L., Hatzakis, T., Santiago, N., Wright, D. (2023). Exploring ethics and human rights in artificial intelligence – A Delphi study. Technological Forecasting & Social Change, 191, 122502. https://doi.org/10.1016/j.techfore.2023.122502
- Stock, A., Stein, F., & Brecht, L. (2020). Usage of bibliometric tools in foresight and technology scouting. Paper presented at the ISPIM Connects Global 2020, Virtual.
- Stute, M., Sardesai, S., Parlings, M., Senna, P.P., Fornasiero, R., & Balech, (2021). Technology scouting to accelerate innovation in supply chain. Lecture Notes in Management and Industrial Engineering (Springer), 129-145. http://dx.doi.org/10.1007/978-3-030-63505-3_6
- Sundhararajan, , Gao, X.Z., & Vahdatnejad, H. (2018). Artificial intelligent techniques and its applications. Journal of Intelligent & Fuzzy Systems, 34: 755-760. DOI: 10.3233/JIFS-169369.
- Tabrizi, B., Lam, E., Girard, K., & Irvin, V. (2019). Digital transformation is not about technology. Harvard Business Review, 13, 1-6.
- Vuorio, A.M., Puumalainen, K., & Fellnhofer, K. (2018). Drivers of entrepreneurial intentions in sustainable entrepreneurship. International Journal of Entrepreneurial Behavior & Research, 24(2): 359-381. http://dx.doi.org/10.1108/IJEBR-03-2016-0097
- Wang, C.H. & Quan, X.I. (2021). The role of external technology scouting in inbound open innovation generation: evidence from high-technology industries. In IEEE transactions on Engineering Management, 68(6): 1558-1569. http://dx.doi.org/10.1109/TEM.2019.2956069
- Wang, Y., Yu, Y., Cao, S., Zhang, X., & Gao, S. (2020). A review of applications of artificial intelligent algorithms in wind farms. Artificial Intelligence Review, 53: 3447–3500. https://doi.org/10.1007/s10462-019-09768-7
- Wang, X., Daim, T., Huang, L., Li, Z., Shaikh, R., & Francois Kassi, D. (2022). Monitoring the development trend and competition status of high technologies using patent analysis and bibliographic coupling: The case of electronic design automation technology. Technology in Society, 71, 102076. DOI: 10.1016/j.techsoc.2022.102076
- Wustmans, M., Haubold, T., & Bruens, B. (2022). Bridging trends and patents: Combining different data sources for the evaluation of innovation fields in blockchain technology, in IEEE Transactions on Engineering Management, 69(3), 825-837, doi: 10.1109/TEM.2020.3043478.
- Xu, Z., Ge Z., Wang W., Skare M. (2021). Bibliometric analysis of technology adoption literature published from 1997 to 2020. Technological Forecasting and Social Change, 170. 120896. http://dx.doi.org/10.1016/j.techfore.2021.120896
References [In Persian]
- Hajigholamsaryazdi, A. (2020). Dynamics of technology changes in technology-based firms in Yazd Science and Technology Park. Innovation Management Journal, 9(2), 63-94. https://dorl.net/dor/20.1001.1.23225386.1399.9.2.3.3
- Khamseh, A., & Behroozi, A. (2018). Identifying and studying the key factors affecting scouting the future high technologies in aerospace design centers. Defensive Future Studies, 2(7), 129-152. http://www.dfsr.ir/article_33784.html
- Mir Shahvelayati, F., & Nazarizadeh, F. (2019). Technology scouting model: A process & structure for monitoring technological changes. Defensive Future Studies, 4(13), 41-68. doi:10.22034/dfsr.2019.36542
- Nezamipour, G., Tabaeian, S.K., Elahi, S.M., Nazemi, A., & Mirshahvelayati, F. (2016). Introduce of surveillance measures technology as a tool for future study. Defence Studies, 14(1), 137-171. https://ds.sndu.ac.ir/article_231.html?lang
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