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Manage."},{"key":"ref22","first-page":"241","article-title":"Technology readiness impact on high-tech R&D projects","volume":"75","author":"Ilas","year":"2013","journal-title":"UPB Sci. Bull. Ser. D: Mech. Eng."},{"key":"ref23","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1111\/poms.12410","article-title":"Managing R&D project shifts in high-tech organizations: A multi-method study","volume":"25","author":"Chandrasekaran","year":"2016","journal-title":"Prod. Oper. Manage."},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1016\/j.cities.2022.103973","article-title":"Exploring the microgeography and typology of US high-tech clusters","volume":"131","author":"Zandiatashbar","year":"2022, Art. no. 103973","journal-title":"Cities"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"315","DOI":"10.30525\/2256-0742\/2018-4-5-315-319","article-title":"Common features and distinctions between high technology and innovation","volume":"4","author":"Serediuk","year":"2018","journal-title":"Baltic J. Econ. 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Sci."},{"key":"ref29","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1126\/science.aaa8415","article-title":"Machine learning: Trends, perspectives, and prospects","volume":"349","author":"Jordan","year":"2015","journal-title":"Science"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/TEM.2021.3109983","article-title":"The AI digital revolution in innovation: A conceptual framework of artificial intelligence technologies for the management of innovation","volume":"70","author":"Brem","year":"2021","journal-title":"IEEE Trans. Eng. 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Big Data (ICAIBD)","first-page":"970","article-title":"Applications and challenges of Artificial Intelligence in Aerospace Engineering","author":"Qiu","year":"2023"},{"key":"ref48","first-page":"2820","article-title":"Data-driven aerospace engineering: Reframing the industry with machine learning","volume":"59","author":"Brunton","year":"2021","journal-title":"AIAA J."},{"key":"ref49","doi-asserted-by":"crossref","DOI":"10.1016\/j.ast.2023.108354","article-title":"Improving aircraft performance using machine learning: A review","volume":"138","author":"Le Clainche","year":"2023, Art. no. 108354","journal-title":"Aerosp. Sci. Technol."},{"key":"ref50","series-title":"Proc. 1st Conf. Fairness, Account. 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ACM"},{"key":"ref55","author":"Russell","year":"2016","journal-title":"Artificial Intelligence: A Modern Approach"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"1736","DOI":"10.1007\/s13132-023-01183-2","article-title":"Artificial intelligence and economic development: An evolutionary investigation and systematic review","volume":"15","author":"Qin","year":"2024","journal-title":"J. Knowl. Econ."},{"key":"ref57","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41467-019-14108-y","article-title":"The role of artificial intelligence in achieving the sustainable development goals","volume":"11","author":"Vinuesa","year":"2020","journal-title":"Nat. Commun."},{"key":"ref58","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.jretai.2021.03.001","article-title":"A framework for collaborative artificial intelligence in marketing","volume":"98","author":"Huang","year":"2022","journal-title":"J. Retailing"},{"key":"ref59","doi-asserted-by":"crossref","DOI":"10.1016\/j.im.2021.103434","article-title":"Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance","volume":"58","author":"Mikalef","year":"2021, Art. no. 103434","journal-title":"Inform. Manage."},{"key":"ref60","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/0952813X.2024.2323042","article-title":"Artificial intelligence: Reflecting on the past and looking towards the next paradigm shift","author":"Radanliev","year":"2024","journal-title":"J. Exp. Theor. Artif. Intell."},{"key":"ref61","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1109\/MITP.2021.3070985","article-title":"The duality of data and knowledge across the three waves of AI","volume":"23","author":"Sheth","year":"2021","journal-title":"IT Prof."},{"key":"ref62","doi-asserted-by":"crossref","DOI":"10.1007\/s11948-021-00325-6","article-title":"Ethical Artificial Intelligence in chemical research and development: A dual advantage for sustainability","volume":"27","author":"Hermann","year":"2021","journal-title":"Sci. Eng. Ethics"},{"key":"ref63","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compind.2015.11.001","article-title":"An intelligent decision support approach for reviewer assignment in R&D project selection","volume":"76","author":"Liu","year":"2016","journal-title":"Comput. Ind."},{"key":"ref64","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.compind.2017.08.001","article-title":"Developing an research and development (R&D) process improvement system to simulate the performance of R&D activities","volume":"92-93","author":"Lee","year":"2017","journal-title":"Comput. Ind."},{"key":"ref65","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/EMR.2020.3007748","article-title":"Decision support systems for managing innovation through project selection in public sector R&D environments","volume":"48","author":"Havins","year":"2020","journal-title":"IEEE Eng. Manage. Rev."},{"key":"ref66","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.dss.2019.03.010","article-title":"A decision support framework for robust R&D budget allocation using machine learning and optimization","volume":"121","author":"Jang","year":"2019","journal-title":"Decis. Support Syst."},{"key":"ref67","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.physa.2018.05.108","article-title":"Development of the mitigation strategy against the schedule risks of the R&D project through controlling the cascading failure of the R&D network","volume":"508","author":"Wang","year":"2018","journal-title":"Physica A: Stat. Mech. Appl."},{"key":"ref68","doi-asserted-by":"crossref","first-page":"437","DOI":"10.20965\/jaciii.2018.p0437","article-title":"Research on innovation knowledge spillover effect of China\u2019s high-tech industry R&D-base on multidimensional spatial weight matrices","volume":"22","author":"Zhang","year":"2018","journal-title":"J. Adv. Comput. Intell. Intell. Informat."},{"key":"ref69","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1007\/s10614-021-10150-5","article-title":"A neural network approach to value R&D compound american exchange option","volume":"60","author":"Villani","year":"2022","journal-title":"Comput. Econ."},{"key":"ref70","doi-asserted-by":"crossref","DOI":"10.3389\/fnins.2019.00723","article-title":"Neuronal circuit-based computer modeling as a phenotypic strategy for CNS R&D","volume":"13","author":"Geerts","year":"2019","journal-title":"Front. Neurosci."},{"key":"ref71","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1007\/s00502-021-00882-5","article-title":"Let\u2019s teach computers to listen: 20 years of AI in acoustic research and development at JOANNEUM RESEARCH","volume":"138","author":"Graf","year":"2021","journal-title":"Elektrotechnik Und Informationstechnik"},{"key":"ref72","doi-asserted-by":"crossref","DOI":"10.1108\/EJIM-11-2023-1004","article-title":"R&D team network configurations, knowledge diversity and breakthrough innovation: A combined effect framework","author":"Zhou","year":"2024","journal-title":"Eur. J. Innov. Manage."},{"key":"ref73","doi-asserted-by":"crossref","DOI":"10.1108\/MD-06-2023-0978","article-title":"Evolution of cooperation in R&D alliance portfolios considering aspirations","author":"Guo","year":"2024","journal-title":"Manage. Decis."},{"key":"ref74","doi-asserted-by":"crossref","DOI":"10.1016\/j.techfore.2021.120970","article-title":"Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions","volume":"171","author":"Keding","year":"2021, Art. no. 120970","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref75","doi-asserted-by":"crossref","first-page":"87","DOI":"10.22215\/timreview\/1340","article-title":"The effect of machine learning on knowledge-intensive R&D in the technology industry","volume":"10","author":"Viberg","year":"2020","journal-title":"Technol. Innov. Manage. Rev."},{"key":"ref76","doi-asserted-by":"crossref","DOI":"10.3390\/en13071847","article-title":"Prediction of air-conditioning energy consumption in R&D building using multiple machine learning techniques","volume":"13","author":"Liao","year":"2020, Art. no. 1847","journal-title":"Energies"},{"key":"ref77","article-title":"Accelerating pharmaceutical R&D with a user-friendly AI system for histopathology image analysis","volume":"14","author":"Lutnick","year":"2023, Art. no. 100337","journal-title":"J. Pathol. Inf."},{"key":"ref78","article-title":"Application and teaching of computer molecular simulation embedded technology and artificial intelligence in drug research and development","volume":"18","author":"Chen","year":"2023","journal-title":"Open Life Sci."},{"key":"ref79","doi-asserted-by":"crossref","DOI":"10.2196\/resprot.4995","article-title":"Patient-centered pain care using artificial intelligence and mobile health tools: Protocol for a randomized study funded by the US Department of Veterans Affairs Health Services Research and Development Program","volume":"5","author":"Piette","year":"2016","journal-title":"JMIR Res. Protoc."},{"key":"ref80","doi-asserted-by":"crossref","DOI":"10.1016\/j.techfore.2021.120871","article-title":"A hybrid recommendation model for successful R&D collaboration: Mixing machine learning and discriminant analysis","volume":"170","author":"Jun","year":"2021, Art. no. 120871","journal-title":"Technol. Forecast. Soc. Change"},{"key":"ref81","article-title":"Data-driven public R&D project performance evaluation: Results from China","volume":"13","author":"Li","year":"2021, Art. no. 7147","journal-title":"Sustainability"},{"key":"ref82","doi-asserted-by":"crossref","DOI":"10.3390\/math10091466","article-title":"Stacking machine learning model for the assessment of R&D product\u2019s readiness and method for its cost estimation","volume":"10","author":"Chukhray","year":"2022, Art. no. 1466","journal-title":"Mathematics"},{"key":"ref83","doi-asserted-by":"crossref","DOI":"10.3390\/s23104879","article-title":"Can ChatGPT help in electronics research and development? A case study with applied sensors","volume":"23","author":"Tafferner","year":"2023, Art. no. 4879","journal-title":"Sensors"},{"key":"ref84","doi-asserted-by":"crossref","first-page":"1991","DOI":"10.1142\/S0219622022500961","article-title":"Development of a decision support system for selection of reviewers to evaluate research and development projects","volume":"22","author":"Kocak","year":"2023","journal-title":"Int. J. Inf. Technol. Decis. Mak."},{"key":"ref85","first-page":"13","article-title":"HiRAND: A novel GCN semi-supervised deep learning-based framework for classification and feature selection in drug research and development","volume":"13","author":"Huang","year":"2023","journal-title":"Front. Oncol."},{"key":"ref86","doi-asserted-by":"crossref","first-page":"7","DOI":"10.2533\/chimia.2023.7","article-title":"How to accelerate R&D and optimize experiment planning with machine learning and data science","volume":"77","author":"Gutierrez","year":"2023","journal-title":"Chimia"},{"key":"ref87","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1557\/s43580-023-00505-5","article-title":"How to lead R&D digital transformation in a chemical corporation","volume":"8","author":"Takemoto","year":"2023","journal-title":"MRS Adv."},{"key":"ref88","article-title":"Information analysis on foreign institution for international R&D collaboration using natural language processing","volume":"16","author":"Jung","year":"2023, Art. no. 33","journal-title":"Energies"},{"key":"ref89","doi-asserted-by":"crossref","DOI":"10.1007\/s13218-023-00809-6","article-title":"Opportunities and challenges for AI-based analysis of RWD in pharmaceutical R&D: A practical perspective","author":"Behr","year":"2023","journal-title":"K\u00fcnstl. Intell."},{"key":"ref90","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/09537325.2023.2295994","article-title":"Predicting low-performance government-sponsored R&D project: Comprehensive framework and machine learning approach","volume":"25","author":"Ma","year":"2023","journal-title":"Technol. Anal. Strateg. Manage."},{"key":"ref91","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-023-34684-w","article-title":"Prediction of SMEs\u2019 R&D performances by machine learning for project selection","volume":"13","author":"Yoo","year":"2023, Art. no. 7598","journal-title":"Sci. Rep."},{"key":"ref92","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1108\/JM2-03-2021-0057","article-title":"Synergistic effect of R&D and exports on performance in US manufacturing industries: High-tech vs low-tech","volume":"18","author":"Lee","year":"2023","journal-title":"J. Model. Manage."},{"key":"ref93","article-title":"AI patenting and employment: Evidence from the world\u2019s top R&D investors","author":"Sterlacchini","year":"2024","journal-title":"Innovation: The Eur. J. Soc. Sci. Res."},{"key":"ref94","doi-asserted-by":"crossref","DOI":"10.1016\/j.cie.2024.110018","article-title":"Dynamic scheduling of decentralized high-end equipment R&D projects via deep reinforcement learning","volume":"190","author":"Wang","year":"2024, Art. no. 110018","journal-title":"Comput. Ind. Eng."},{"key":"ref95","doi-asserted-by":"crossref","DOI":"10.1016\/j.respol.2024.105037","article-title":"Economic impacts of AI-augmented R&D","volume":"53","author":"Besiroglu","year":"2024, Art. no. 105037","journal-title":"Res. Policy"},{"key":"ref96","doi-asserted-by":"crossref","first-page":"392","DOI":"10.60087\/jklst.vol2.n3.p400","article-title":"The intricate dance of knowledge, innovation, and AI: Navigating the human element","volume":"2","author":"Jo","year":"2023","journal-title":"J. Knowl. Learn. Sci. Technol."},{"key":"ref97","unstructured":"R. Alur, M. Raghavan, and D. Shah, \u201cDistinguishing the indistinguishable: Human expertise in algorithmic prediction,\u201d 2024, arXiv:2402.00793."},{"key":"ref98","first-page":"2066","article-title":"Hybrid intelligence systems combining human expertise and AI\/RPA for complex problem solving","volume":"9","author":"Venigandla","year":"2024","journal-title":"Int. J. Innov. Sci. Res. Technol."},{"key":"ref99","doi-asserted-by":"crossref","first-page":"145","DOI":"10.61927\/igmin158","article-title":"Balancing act: Exploring the interplay between human judgment and Artificial Intelligence in problem-solving, creativity, and decision-making","volume":"2","author":"Al-Zahrani","year":"2024","journal-title":"IgMin Res."},{"key":"ref100","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1038\/s41746-023-00906-8","article-title":"How AI can learn from the law: Putting humans in the loop only on appeal","volume":"6","author":"Cohen","year":"2023","journal-title":"npj Digital Med."}],"container-title":["Computers, Materials & Continua"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.techscience.com\/files\/cmc\/2024\/TSP_CMC-81-2\/TSP_CMC_57094\/TSP_CMC_57094.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T04:20:54Z","timestamp":1741321254000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.techscience.com\/cmc\/v81n2\/58669"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":100,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.32604\/cmc.2024.057094","relation":{},"ISSN":["1546-2226"],"issn-type":[{"value":"1546-2226","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"2024-08-07","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-09-24","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-11-18","order":2,"name":"published","label":"Published Online","group":{"name":"publication_history","label":"Publication History"}}]}}