{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T22:45:46Z","timestamp":1778798746447,"version":"3.51.4"},"publisher-location":"Cham","reference-count":44,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783030624118","type":"print"},{"value":"9783030624125","type":"electronic"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-62412-5_30","type":"book-chapter","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T00:04:47Z","timestamp":1605485087000},"page":"365-378","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Artificial Intelligence in Supply Chain Operations Planning: Collaboration and Digital Perspectives"],"prefix":"10.1007","author":[{"given":"Mar\u00eda \u00c1ngeles","family":"Rodr\u00edguez","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. M. E.","family":"Alemany","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9s","family":"Boza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Llanos","family":"Cuenca","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u00c1ngel","family":"Ortiz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,11,16]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Lezoche, M., Hernandez, J.E., Alemany, M.M.E., D\u00edaz, E.A., Panetto, H., Kacprzyk, J.: Agri-food 4.0: a survey of the supply chains and technologies for the future agriculture. Comput. Ind. 117, 103\u2013187 (2020)","DOI":"10.1016\/j.compind.2020.103187"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Stock, J.R., Boyer, S.L.: Developing a consensus definition of supply chain management: a qualitative study. Int. J. Phys. Distrib. Logistics Manag. 39(8), 690\u2013711 (2009)","DOI":"10.1108\/09600030910996323"},{"issue":"1","key":"30_CR3","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1080\/13675560902736537","volume":"13","author":"H Min","year":"2010","unstructured":"Min, H.: Artificial intelligence in supply chain management: theory and applications. Int. J. Logistics Res. Appl. 13(1), 13\u201339 (2010). https:\/\/doi.org\/10.1080\/13675560902736537","journal-title":"Int. J. Logistics Res. Appl."},{"issue":"1","key":"30_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-019-0206-3","volume":"6","author":"RH Hariri","year":"2019","unstructured":"Hariri, R.H., Fredericks, E.M., Bowers, K.M.: Uncertainty in big data analytics: survey, opportunities, and challenges. J. Big Data 6(1), 1\u201316 (2019). https:\/\/doi.org\/10.1186\/s40537-019-0206-3","journal-title":"J. Big Data"},{"issue":"2019","key":"30_CR5","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/j.ijinfomgt.2019.01.021","volume":"48","author":"Y Duan","year":"2019","unstructured":"Duan, Y., Edwards, J.S., Dwivedi, Y.K.: Artificial intelligence for decision making in the era of Big Data \u2013 evolution, challenges and research agenda. Int. J. Inf. Manage. 48(2019), 63\u201371 (2019). https:\/\/doi.org\/10.1016\/j.ijinfomgt.2019.01.021","journal-title":"Int. J. Inf. Manage."},{"issue":"4","key":"30_CR6","first-page":"12","volume":"27","author":"J McCarthy","year":"2006","unstructured":"McCarthy, J., Minsky, M.L., Rochester, N., Shannon, C.E.: A proposal for the dartmouth summer research project on artificial intelligence. AI Mag. 27(4), 12\u201314 (2006)","journal-title":"AI Mag."},{"key":"30_CR7","unstructured":"Barr, A., Feigenbaum, E.A.: The Handbook of Artificial Intelligence, vol. 2. Heuristech: William Kaufmann, Pitman (1982)"},{"key":"30_CR8","unstructured":"High-Level Expert Group on Artificial Intelligence, European Commission. A definition of AI: main capabilities and disciplines (2019)"},{"key":"30_CR9","doi-asserted-by":"publisher","unstructured":"Cioffi, R., Travaglioni, M., Piscitelli, G., Petrillo, A., De Felice, F.: Artificial intelligence and machine learning applications in smart production: progress, trends, and directions. Sustainability (Switzerland) 12(2) (2020). https:\/\/doi.org\/10.3390\/su12020492","DOI":"10.3390\/su12020492"},{"issue":"6","key":"30_CR10","doi-asserted-by":"publisher","first-page":"1928","DOI":"10.1002\/er.4333","volume":"43","author":"L Cheng","year":"2019","unstructured":"Cheng, L., Yu, T.: A new generation of AI: a review and perspective on machine learning technologies applied to smart energy and electric power systems. Int. J. Energy Res. 43(6), 1928\u20131973 (2019). https:\/\/doi.org\/10.1002\/er.4333","journal-title":"Int. J. Energy Res."},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Duan, Y., Edwards, J.S., Dwivedi, Y.K.: Artificial intelligence for decision-making in the era of big data. Evolution, challenges and research agenda. Int. J. Inf. Manag. 48, 63\u201371 (2019)","DOI":"10.1016\/j.ijinfomgt.2019.01.021"},{"key":"30_CR12","doi-asserted-by":"crossref","unstructured":"Varshney, S., Jigyasu, R., Sharma, A., Mathew, L.: Review of various artificial intelligence techniques and its applications. IOP Conf. Ser. Mater. Sci. Eng. 594(1) (2019)","DOI":"10.1088\/1757-899X\/594\/1\/012023"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Cheng, L., Yu, T.: A new generation of AI: a review and perspective on machine learning technologies applied to smart energy and electric power systems. Int. J. Energy Res. 43, 1928\u20131973 (2019)","DOI":"10.1002\/er.4333"},{"issue":"15","key":"30_CR14","doi-asserted-by":"publisher","first-page":"1699","DOI":"10.1016\/j.jclepro.2008.04.020","volume":"16","author":"S Seuring","year":"2008","unstructured":"Seuring, S., M\u00fcller, M.: From a literature review to a conceptual framework for sustainable supply chain management. J. Clean. Prod. 16(15), 1699\u20131710 (2008). https:\/\/doi.org\/10.1016\/j.jclepro.2008.04.020","journal-title":"J. Clean. Prod."},{"issue":"4","key":"30_CR15","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1023\/A:1016064126976","volume":"13","author":"KS Metaxiotis","year":"2002","unstructured":"Metaxiotis, K.S., Askounis, D., Psarras, J.: Expert Systems In Production Planning And Scheduling: A State-Of-The-Art Survey. J. Intell. Manuf. 13(4), 253\u2013260 (2002). https:\/\/doi.org\/10.1023\/A:1016064126976","journal-title":"J. Intell. Manuf."},{"issue":"2\u20133","key":"30_CR16","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1016\/j.knosys.2004.04.009","volume":"18","author":"Y Power","year":"2005","unstructured":"Power, Y., Bahri, P.A.: Integration techniques in intelligent operational management: a review. Knowl. Based Syst. 18(2\u20133), 89\u201397 (2005). https:\/\/doi.org\/10.1016\/j.knosys.2004.04.009","journal-title":"Knowl. Based Syst."},{"issue":"4","key":"30_CR17","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1016\/j.aei.2006.05.004","volume":"20","author":"W Shen","year":"2006","unstructured":"Shen, W., Hao, Q., Yoon, H.J., Norrie, D.H.: Applications of agent-based systems in intelligent manufacturing: an updated review. Adv. Eng. Inform. 20(4), 415\u2013431 (2006). https:\/\/doi.org\/10.1016\/j.aei.2006.05.004","journal-title":"Adv. Eng. Inform."},{"issue":"1","key":"30_CR18","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1057\/palgrave.jors.2602132","volume":"58","author":"KAH Kobbacy","year":"2007","unstructured":"Kobbacy, K.A.H., Vadera, S., Rasmy, M.H.: AI and OR in management of operations: history and trends. J. Oper. Res. Soc. 58(1), 10\u201328 (2007). https:\/\/doi.org\/10.1057\/palgrave.jors.2602132","journal-title":"J. Oper. Res. Soc."},{"issue":"3","key":"30_CR19","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s00170-005-0345-x","volume":"32","author":"WJ Zhang","year":"2007","unstructured":"Zhang, W.J., Xie, S.Q.: Agent technology for collaborative process planning: a review. Int. J. Adv. Manuf. Technol. 32(3), 315\u2013325 (2007). https:\/\/doi.org\/10.1007\/s00170-005-0345-x","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"30_CR20","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"360","DOI":"10.1007\/978-3-642-02319-4_43","volume-title":"Hybrid Artificial Intelligence Systems","author":"O Ib\u00e1\u00f1ez","year":"2009","unstructured":"Ib\u00e1\u00f1ez, O., Cord\u00f3n, O., Damas, S., Magdalena, L.: A review on the application of hybrid artificial intelligence systems to optimization problems in operations management. In: Corchado, E., Wu, X., Oja, E., Herrero, \u00c1., Baruque, B. (eds.) HAIS 2009. LNCS (LNAI), vol. 5572, pp. 360\u2013367. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-642-02319-4_43"},{"issue":"6","key":"30_CR21","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1108\/17410381111149602","volume":"22","author":"KAH Kobbacy","year":"2011","unstructured":"Kobbacy, K.A.H., Vadera, S.: A survey of AI in operations management from 2005 to 2009. J. Manuf. Technol. Manag. 22(6), 706\u2013733 (2011). https:\/\/doi.org\/10.1108\/17410381111149602","journal-title":"J. Manuf. Technol. Manag."},{"issue":"18","key":"30_CR22","doi-asserted-by":"publisher","first-page":"1871","DOI":"10.1177\/0040517511411968","volume":"81","author":"ZX Guo","year":"2011","unstructured":"Guo, Z.X., Wong, W.K., Leung, S.Y.S., Li, M.: Applications of artificial intelligence in the apparel industry: a review. Text. Res. J. 81(18), 1871\u20131892 (2011). https:\/\/doi.org\/10.1177\/0040517511411968","journal-title":"Text. Res. J."},{"issue":"1","key":"30_CR23","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1017\/S0890060413000516","volume":"28","author":"P Priore","year":"2014","unstructured":"Priore, P., G\u00f3mez, A., Pino, R., Rosillo, R.: Dynamic scheduling of manufacturing systems using machine learning: an updated review. Artif. Intell. Eng. Des. Anal. Manuf. AIEDAM 28(1), 83\u201397 (2014). https:\/\/doi.org\/10.1017\/S0890060413000516","journal-title":"Artif. Intell. Eng. Des. Anal. Manuf. AIEDAM"},{"key":"30_CR24","doi-asserted-by":"publisher","unstructured":"Renzi, C., Leali, F., Cavazzuti, M., Andrisano, A.: A review on artificial intelligence applications to the optimal design of dedicated and reconfigurable manufacturing systems. Int. J. Adv. Manuf. Technol. 72(1\u20134), 403\u2013418 (2014). https:\/\/doi.org\/10.1007\/s00170-014-5674-1","DOI":"10.1007\/s00170-014-5674-1"},{"issue":"1","key":"30_CR25","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1016\/j.eswa.2013.07.013","volume":"41","author":"EWT Ngai","year":"2014","unstructured":"Ngai, E.W.T., Peng, S., Alexander, P., Moon, K.K.L.: Decision support and intelligent systems in the textile and apparel supply chain: an academic review of research articles. Expert Syst. Appl. 41(1), 81\u201391 (2014). https:\/\/doi.org\/10.1016\/j.eswa.2013.07.013","journal-title":"Expert Syst. Appl."},{"key":"30_CR26","first-page":"157","volume":"11","author":"UA Rooh","year":"2015","unstructured":"Rooh, U.A., Li, A., Ali, M.M.: Fuzzy, neural network and expert systems methodologies and applications - a review. J. Mob. Multimedia 11, 157\u2013176 (2015)","journal-title":"J. Mob. Multimedia"},{"key":"30_CR27","doi-asserted-by":"crossref","unstructured":"Bello, O., Teodoriu, C., Yaqoob, T., Oppelt, J., Holzmann, J., Obiwanne, A.: Application of artificial intelligence techniques in drilling system design and operations: a state of the art review and future research pathways. In: Society of Petroleum Engineers - SPE Nigeria Annual International Conference and Exhibition (2016)","DOI":"10.2118\/184320-MS"},{"key":"30_CR28","doi-asserted-by":"publisher","unstructured":"Arvitrida, N.I.: A review of agent-based modeling approach in the supply chain collaboration context. IOP Conf. Ser. Mater. Sci. Eng. 337(1) (2018). https:\/\/doi.org\/10.1088\/1757-899x\/337\/1\/012015","DOI":"10.1088\/1757-899x\/337\/1\/012015"},{"key":"30_CR29","doi-asserted-by":"publisher","unstructured":"Zanon, L.G., Carpinetti, L.C.R.: Fuzzy cognitive maps and grey systems theory in the supply chain management context: a literature review and a research proposal. In: IEEE International Conference on Fuzzy Systems, July 2018, pp. 1\u20138 (2018). https:\/\/doi.org\/10.1109\/fuzz-ieee.2018.8491473","DOI":"10.1109\/fuzz-ieee.2018.8491473"},{"key":"30_CR30","doi-asserted-by":"publisher","unstructured":"Burggr\u00e4f, P., Wagner, J., Koke, B.: Artificial intelligence in production management: a review of the current state of affairs and research trends in academia. In: 2018 International Conference on Information Management and Processing, ICIMP 2018, January 2018, pp. 82\u201388 (2018). https:\/\/doi.org\/10.1109\/icimp1.2018.8325846","DOI":"10.1109\/icimp1.2018.8325846"},{"key":"30_CR31","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.inffus.2018.10.005","volume":"50","author":"A Diez-Olivan","year":"2019","unstructured":"Diez-Olivan, A., Del Ser, J., Galar, D., Sierra, B.: Data fusion and machine learning for industrial prognosis: trends and perspectives towards Industry 4.0. Inf. Fusion 50, 92\u2013111 (2019). https:\/\/doi.org\/10.1016\/j.inffus.2018.10.005","journal-title":"Inf. Fusion"},{"issue":"7","key":"30_CR32","doi-asserted-by":"publisher","first-page":"1463","DOI":"10.1007\/s13042-019-01050-0","volume":"11","author":"D Ni","year":"2019","unstructured":"Ni, D., Xiao, Z., Lim, M.K.: A systematic review of the research trends of machine learning in supply chain management. Int. J. Mach. Learn. Cybernet. 11(7), 1463\u20131482 (2019). https:\/\/doi.org\/10.1007\/s13042-019-01050-0","journal-title":"Int. J. Mach. Learn. Cybernet."},{"key":"30_CR33","doi-asserted-by":"publisher","first-page":"434","DOI":"10.1016\/j.compchemeng.2019.03.034","volume":"125","author":"C Ning","year":"2019","unstructured":"Ning, C., You, F.: Optimization under uncertainty in the era of big data and deep learning: when machine learning meets mathematical programming. Comput. Chem. Eng. 125, 434\u2013448 (2019). https:\/\/doi.org\/10.1016\/j.compchemeng.2019.03.034","journal-title":"Comput. Chem. Eng."},{"issue":"2","key":"30_CR34","doi-asserted-by":"publisher","first-page":"1555","DOI":"10.1007\/s13202-018-0560-2","volume":"9","author":"MO Okwu","year":"2018","unstructured":"Okwu, M.O., Nwachukwu, A.N.: A review of fuzzy logic applications in petroleum exploration, production and distribution operations. J. Petrol. Explor. Prod. Technol. 9(2), 1555\u20131568 (2018). https:\/\/doi.org\/10.1007\/s13202-018-0560-2","journal-title":"J. Petrol. Explor. Prod. Technol."},{"issue":"3","key":"30_CR35","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1108\/DPRG-09-2018-0050","volume":"21","author":"FD Weber","year":"2019","unstructured":"Weber, F.D., Sch\u00fctte, R.: State-of-the-art and adoption of artificial intelligence in retailing. Digit. Policy Regul. Gov. 21(3), 264\u2013279 (2019). https:\/\/doi.org\/10.1108\/DPRG-09-2018-0050","journal-title":"Digit. Policy Regul. Gov."},{"key":"30_CR36","doi-asserted-by":"publisher","first-page":"95376","DOI":"10.1109\/ACCESS.2019.2928979","volume":"7","author":"C Giri","year":"2019","unstructured":"Giri, C., Jain, S., Zeng, X., Bruniaux, P.: A detailed review of artificial intelligence applied in the fashion and apparel industry. IEEE Access 7, 95376\u201395396 (2019). https:\/\/doi.org\/10.1109\/ACCESS.2019.2928979","journal-title":"IEEE Access"},{"issue":"15\u201316","key":"30_CR37","doi-asserted-by":"publisher","first-page":"4766","DOI":"10.1080\/00207543.2018.1424372","volume":"57","author":"SP Leo Kumar","year":"2019","unstructured":"Leo Kumar, S.P.: Knowledge-based expert system in manufacturing planning: State-of-the-art review. Int. J. Prod. Res. 57(15\u201316), 4766\u20134790 (2019). https:\/\/doi.org\/10.1080\/00207543.2018.1424372","journal-title":"Int. J. Prod. Res."},{"key":"30_CR38","doi-asserted-by":"publisher","DOI":"10.1016\/j.rtbm.2020.100453","author":"L Barua","year":"2020","unstructured":"Barua, L., Zou, B., Zhou, Y.: Machine learning for international freight transportation management: a comprehensive review. Res. Transp. Bus. Manag. (2020). https:\/\/doi.org\/10.1016\/j.rtbm.2020.100453","journal-title":"Res. Transp. Bus. Manag."},{"key":"30_CR39","doi-asserted-by":"publisher","unstructured":"Chai, J., Ngai, E.W.T.: Decision-making techniques in supplier selection: recent accomplishments and what lies ahead. Expert Syst. Appl. 140 (2020). https:\/\/doi.org\/10.1016\/j.eswa.2019.112903","DOI":"10.1016\/j.eswa.2019.112903"},{"issue":"6","key":"30_CR40","doi-asserted-by":"publisher","first-page":"1531","DOI":"10.1007\/s10845-019-01531-7","volume":"31","author":"JP Usuga Cadavid","year":"2020","unstructured":"Usuga Cadavid, J.P., Lamouri, S., Grabot, B., Pellerin, R., Fortin, A.: Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0. J. Intell. Manuf. 31(6), 1531\u20131558 (2020). https:\/\/doi.org\/10.1007\/s10845-019-01531-7","journal-title":"J. Intell. Manuf."},{"key":"30_CR41","series-title":"Advances in Information Security","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1007\/978-3-030-38181-3_8","volume-title":"Blockchain Cybersecurity, Trust and Privacy","author":"A Ekramifard","year":"2020","unstructured":"Ekramifard, A., Amintoosi, H., Seno, A.H., Dehghantanha, A., Parizi, R.M.: A systematic literature review of integration of blockchain and artificial intelligence. In: Choo, K.-K.R., Dehghantanha, A., Parizi, R.M. (eds.) Blockchain Cybersecurity, Trust and Privacy. AIS, vol. 79, pp. 147\u2013160. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-38181-3_8"},{"key":"30_CR42","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1007\/978-3-030-27015-5_51","volume-title":"Digital Age: Chances, Challenges and Future","author":"J Vrbka","year":"2020","unstructured":"Vrbka, J., Rowland, Z.: Using artificial intelligence in company management. In: Ashmarina, S.I., Vochozka, M., Mantulenko, V.V. (eds.) ISCDTE 2019. LNNS, vol. 84, pp. 422\u2013429. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-27015-5_51"},{"key":"30_CR43","doi-asserted-by":"crossref","unstructured":"Leslie, D.: Understanding artificial intelligence ethics and safety: a guide for the responsible design and implementation of AI systems in the public sector. The Alan Turing Institute (2019)","DOI":"10.2139\/ssrn.3403301"},{"key":"30_CR44","doi-asserted-by":"publisher","unstructured":"Queiroz, M.M., Ivanov, D., Dolgui, A., et al.: Impacts of epidemic outbreaks on supply chains: mapping a research agenda amid the COVID-19 pandemic through a structured literature review. Ann Oper Res (2020). https:\/\/doi.org\/10.1007\/s10479-020-03685-7","DOI":"10.1007\/s10479-020-03685-7"}],"container-title":["IFIP Advances in Information and Communication Technology","Boosting Collaborative Networks 4.0"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-62412-5_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,16]],"date-time":"2024-11-16T00:17:36Z","timestamp":1731716256000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-62412-5_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030624118","9783030624125"],"references-count":44,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-62412-5_30","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"16 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRO-VE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Working Conference on Virtual Enterprises","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Valencia","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 November 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 November 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pro-ve2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.pro-ve.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"135","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"53","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"39% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"4","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}