{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T04:55:03Z","timestamp":1774155303007,"version":"3.50.1"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031398100","type":"print"},{"value":"9783031398117","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-39811-7_23","type":"book-chapter","created":{"date-parts":[[2023,8,27]],"date-time":"2023-08-27T18:01:28Z","timestamp":1693159288000},"page":"286-295","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Study in Analysing the Critical Determinants of Internet of Things (IoT) Based Smart Processing for Sustainable Supply Chain Management"],"prefix":"10.1007","author":[{"given":"S.","family":"Meena","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8713-7306","authenticated-orcid":false,"given":"T.","family":"Girija","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,28]]},"reference":[{"key":"23_CR1","doi-asserted-by":"crossref","unstructured":"Alc\u00e1cer, V., Cruz-Machado, V.: Scanning the industry 4.0: A literature review on technologies for manufacturing systems. Eng. Sci. Technol. Int. J. 22(3), 899\u2013919 (2019)","DOI":"10.1016\/j.jestch.2019.01.006"},{"issue":"1","key":"23_CR2","first-page":"17","volume":"3","author":"R Apiyo","year":"2018","unstructured":"Apiyo, R., Kiarie, D.: Role of ICT tools in supply chain performance. Int. J. Supply Chain Manage. 3(1), 17\u201326 (2018)","journal-title":"Int. J. Supply Chain Manage."},{"issue":"15\u201316","key":"23_CR3","doi-asserted-by":"publisher","first-page":"4719","DOI":"10.1080\/00207543.2017.1402140","volume":"57","author":"M Ben-Daya","year":"2019","unstructured":"Ben-Daya, M., Hassini, E., Bahroun, Z.: Internet of things and supply chain management: a literature review. Int. J. Prod. Res. 57(15\u201316), 4719\u20134742 (2019)","journal-title":"Int. J. Prod. Res."},{"issue":"1","key":"23_CR4","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1108\/SCM-03-2018-0142","volume":"24","author":"HS Birkel","year":"2019","unstructured":"Birkel, H.S., Hartmann, E.: Impact of IoT challenges and risks for SCM. Supply Chain Manage. Int. J. 24(1), 39\u201361 (2019)","journal-title":"Supply Chain Manage. Int. J."},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Dolgui, A., Ivanov, D., Sethi, S.P., Sokolov, B.: Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications. Int. J. Product. Res. 57(2), 411\u2013432 (2019)","DOI":"10.1080\/00207543.2018.1442948"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Fern\u00e1ndez-Caram\u00e9s, T.M., Blanco-Novoa, O., Froiz-M\u00edguez, I., Fraga-Lamas, P.: Towards an autonomous industry 4.0 Warehouse: A UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management. Sensors 19(10), 2394 (2019)","DOI":"10.3390\/s19102394"},{"issue":"1-2","key":"23_CR7","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/s10479-020-03526-7","volume":"308","author":"G Fragapane","year":"2020","unstructured":"Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F., Strandhagen, J.O.: Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Ann. Oper. Res. 308(1\u20132), 125\u2013143 (2020). https:\/\/doi.org\/10.1007\/s10479-020-03526-7","journal-title":"Ann. Oper. Res."},{"key":"23_CR8","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1007\/s10669-020-09777-w","volume":"40","author":"MS Golan","year":"2020","unstructured":"Golan, M.S., Jernegan, L.H., Linkov, I.: Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic. Environ. Syst. Dec. 40, 222\u2013243 (2020)","journal-title":"Environ. Syst. Dec."},{"key":"23_CR9","doi-asserted-by":"publisher","unstructured":"Ivanov, D., Tsipoulanidis, A., Sch\u00f6nberger, J.: Digital supply chain, smart operations and industry 4.0. In: Global Supply Chain and Operations Management. STBE, pp. 481\u2013526. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-319-94313-8_16","DOI":"10.1007\/978-3-319-94313-8_16"},{"key":"23_CR10","doi-asserted-by":"crossref","unstructured":"Javaid, M., Haleem, A., Vaishya, R., Bahl, S., Suman, R., Vaish, A.: Industry 4.0 technologies and their applications in fighting COVID-19 pandemic. Diabetes Metabol. Syndrom. Clin. Res. Rev. 14(4), 419\u2013422 (2020)","DOI":"10.1016\/j.dsx.2020.04.032"},{"issue":"10","key":"23_CR11","doi-asserted-by":"publisher","first-page":"3652","DOI":"10.3390\/su10103652","volume":"10","author":"M Kouhizadeh","year":"2018","unstructured":"Kouhizadeh, M., Sarkis, J.: Blockchain practices, potentials, and perspectives in greening supply chains. Sustainability 10(10), 3652 (2018)","journal-title":"Sustainability"},{"key":"23_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.tre.2020.101927","volume":"137","author":"X Li","year":"2020","unstructured":"Li, X.: Reducing channel costs by investing in smart supply chain technologies. Transport. Res. Part e: Logist. Transport. Rev. 137, 101927 (2020)","journal-title":"Transport. Res. Part e: Logist. Transport. Rev."},{"key":"23_CR13","doi-asserted-by":"crossref","unstructured":"Nguyen, T., Li, Z.H.O.U., Spiegler, V., Ieromonachou, P., Lin, Y.: Big data analytics in supply chain management: a state-of-the-art literature review. Comput. Oper. Res. 98, 254\u2013264 (2018)","DOI":"10.1016\/j.cor.2017.07.004"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, S., Liu, L., Zhang, L., Zhuang, Y., Du, J.: An optimization model for carbon capture utilization and storage supply chain: a case study in Northeastern China. Appl. Energy 231, 194\u2013206 (2018)","DOI":"10.1016\/j.apenergy.2018.09.129"}],"container-title":["IFIP Advances in Information and Communication Technology","Computer, Communication, and Signal Processing. AI, Knowledge Engineering and IoT for Smart Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-39811-7_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T12:03:43Z","timestamp":1698581023000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-39811-7_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031398100","9783031398117"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-39811-7_23","relation":{},"ISSN":["1868-4238","1868-422X"],"issn-type":[{"value":"1868-4238","type":"print"},{"value":"1868-422X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"28 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCSP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computer, Communication, and Signal Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Chennai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 January 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 January 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icccsp2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/icccsp.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Open","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":"123","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":"17","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":"9","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":"14% - 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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}