{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T01:06:39Z","timestamp":1773018399677,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":62,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,23]]},"DOI":"10.1145\/3745812.3745813","type":"proceedings-article","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T13:55:58Z","timestamp":1756821358000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Leveraging Big Data Analytics for Enhancing Operational Efficiency in IT, Manufacturing, and Supply Chain Sectors"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3913-9419","authenticated-orcid":false,"given":"Harish","family":"Venkatasubramanian","sequence":"first","affiliation":[{"name":"PSG Institute of Technology, PSG College of Technology, Coimbatore, Tamilnadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4326-8360","authenticated-orcid":false,"given":"Mansurali","family":"Anifa","sequence":"additional","affiliation":[{"name":"Management, Central University of Tamilnadu, Thiruvarur, TamailNadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5713-9955","authenticated-orcid":false,"given":"Sadika","family":"Babu","sequence":"additional","affiliation":[{"name":"PSG Institute of Management, PSG College of Technology, Coimbatore, Tamilnadu, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2264-0896","authenticated-orcid":false,"given":"Babu","family":"Subbiah","sequence":"additional","affiliation":[{"name":"Physical Education, National Institute of Technology, Puducherry, Puducherry, India"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9823-1397","authenticated-orcid":false,"suffix":"Mr","given":"viswaraj Maheswaran","family":"Naresh","sequence":"additional","affiliation":[{"name":"Management, Illinois Institute of Technology, Chicago, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,9,2]]},"reference":[{"key":"e_1_3_3_1_1_2","volume-title":"Impact of artificial intelligence-driven BDA culture on agility and resilience in humanitarian supply chain: A practice-based view.\u00a0International Journal of Production Econo","author":"Dubey R.","year":"2022","unstructured":"Dubey, R., Bryde, D. J., Dwivedi, Y. K., Graham, G., & Foropon, C. (2022). Impact of artificial intelligence-driven BDA culture on agility and resilience in humanitarian supply chain: A practice-based view.\u00a0International Journal of Production Econo"},{"key":"e_1_3_3_1_2_2","volume-title":"Dynamic Capability, and Firm Performance: The Moderating Effect of IT-Business Strategic Alignment.\u00a0IEEE Transactions on Engineering Management.","author":"Wu D.","year":"2024","unstructured":"Wu, D., Lin, X., Gupta, S., & Kar, A. K. (2024). BDA Capability, Dynamic Capability, and Firm Performance: The Moderating Effect of IT-Business Strategic Alignment.\u00a0IEEE Transactions on Engineering Management."},{"key":"e_1_3_3_1_3_2","volume-title":"BDA and application for logistics and supply chain management.\u00a0Transportation Research Part E: Logistics and Transportation Review,\u00a0114, 343-349","author":"Govindan K.","year":"2018","unstructured":"Govindan, K., Cheng, T. E., Mishra, N., & Shukla, N. (2018). BDA and application for logistics and supply chain management.\u00a0Transportation Research Part E: Logistics and Transportation Review,\u00a0114, 343-349."},{"key":"e_1_3_3_1_4_2","volume-title":"BDA for crisis management from an information processing theory perspective: A multimethodological study.\u00a0IEEE Transactions on Engineering Management","author":"Sharma P.","year":"2022","unstructured":"Sharma, P., Tiwari, S., Choi, T. M., & Kaul, A. (2022). BDA for crisis management from an information processing theory perspective: A multimethodological study.\u00a0IEEE Transactions on Engineering Management."},{"key":"e_1_3_3_1_5_2","first-page":"1","volume-title":"A detailed analysis of nosql and newsql databases for bigdata analytics and distributed computing. In\u00a0Advances in Computers\u00a0(Vol. 109","author":"Raj P.","year":"2018","unstructured":"Raj, P. (2018). A detailed analysis of nosql and newsql databases for bigdata analytics and distributed computing. In\u00a0Advances in Computers\u00a0(Vol. 109, pp. 1-48). Elsevier."},{"key":"e_1_3_3_1_6_2","volume-title":"The moderating effect of strategic momentum on the relationship between BDA capabilities and lean supply chain practices.\u00a0Uncertain Supply Chain Management,\u00a011(3), 1085-1098","author":"Abuzaid A.","year":"2023","unstructured":"Abuzaid, A., Alateeq, M., Baqleh, L., Madadha, S., & Haraisa, Y. (2023). The moderating effect of strategic momentum on the relationship between BDA capabilities and lean supply chain practices.\u00a0Uncertain Supply Chain Management,\u00a011(3), 1085-1098."},{"key":"e_1_3_3_1_7_2","volume-title":"In\u00a02016 Federated Conference on Computer Science and Information Systems (FedCSIS)\u00a0(pp. 1199-1204)","author":"Robak S.","year":"2016","unstructured":"Robak, S., Franczyk, B., & Robak, M. (2016, September). Business process optimization with BDA under consideration of privacy. In\u00a02016 Federated Conference on Computer Science and Information Systems (FedCSIS)\u00a0(pp. 1199-1204). IEEE."},{"key":"e_1_3_3_1_8_2","volume-title":"In\u00a02016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\u00a0(pp. 294-302)","author":"Zhu S.","year":"2016","unstructured":"Zhu, S., Gu, T., Xu, X., & Mo, Z. (2016, October). Information splitting for BDA. In\u00a02016 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)\u00a0(pp. 294-302). IEEE."},{"key":"e_1_3_3_1_9_2","volume-title":"Big data for the comprehensive data analysis of IT organizations.\u00a0The Journal of High Technology Management Research,\u00a034(2), 100465","author":"Madugula S.","year":"2023","unstructured":"Madugula, S., Pratapagiri, S., Phridviraj, M. S. B., Rao, V. C. S., Polala, N., & Kumaraswamy, P. (2023). Big data for the comprehensive data analysis of IT organizations.\u00a0The Journal of High Technology Management Research,\u00a034(2), 100465."},{"key":"e_1_3_3_1_10_2","volume-title":"An Overview of Big Data Concepts, Methods, and Analytics: Challenges, Issues, and Opportunities. In\u00a02023 5th Global Power, Energy and Communica","author":"Mahmoudian M.","unstructured":"Mahmoudian, M., Zanjani, S. M., Shahinzadeh, H., Kabalci, Y., Kabalci, E., & Ebrahimi, F. (2023, June). An Overview of Big Data Concepts, Methods, and Analytics: Challenges, Issues, and Opportunities. In\u00a02023 5th Global Power, Energy and Communica"},{"key":"e_1_3_3_1_11_2","volume-title":"A BDA architecture for cleaner manufacturing and maintenance processes of complex products.\u00a0Journal of cleaner production,\u00a0142, 626-641","author":"Zhang Y.","year":"2017","unstructured":"Zhang, Y., Ren, S., Liu, Y., & Si, S. (2017). A BDA architecture for cleaner manufacturing and maintenance processes of complex products.\u00a0Journal of cleaner production,\u00a0142, 626-641."},{"key":"e_1_3_3_1_12_2","volume-title":"Innovations with smart service systems: analytics, big data, cognitive assistance, and the internet of everything.\u00a0Communications of the association for Information","author":"Demirkan H.","year":"2015","unstructured":"Demirkan, H., Bess, C., Spohrer, J., Rayes, A., Allen, D., & Moghaddam, Y. (2015). Innovations with smart service systems: analytics, big data, cognitive assistance, and the internet of everything.\u00a0Communications of the association for Information"},{"key":"e_1_3_3_1_13_2","volume-title":"AIAI","author":"Sfika N.","year":"2015","unstructured":"Sfika, N., Manos, K., Korfiati, A., Alexakos, C., & Likothanassis, S. (2015). Workflow Coordinated Resources Allocation for BDA in the Cloud. In\u00a0Artificial Intelligence Applications and Innovations: 11th IFIP WG 12.5 International Conference, AIAI"},{"key":"e_1_3_3_1_14_2","volume-title":"Predictive BDA for supply chain demand forecasting: methods, applications, and research opportunities.\u00a0Journal of Big Data,\u00a07(1), 53","author":"Seyedan M.","year":"2020","unstructured":"Seyedan, M., & Mafakheri, F. (2020). Predictive BDA for supply chain demand forecasting: methods, applications, and research opportunities.\u00a0Journal of Big Data,\u00a07(1), 53."},{"key":"e_1_3_3_1_15_2","volume-title":"Big data and predictive analytics for supply chain and organizational performance.\u00a0Journal of Business Research,\u00a070, 308-317","author":"Gunasekaran A.","year":"2017","unstructured":"Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance.\u00a0Journal of Business Research,\u00a070, 308-317."},{"key":"e_1_3_3_1_16_2","volume-title":"AIAI 2021","author":"Puica E.","year":"2021","unstructured":"Puica, E. (2021). Regression Predictive Model to Analyze BDA in Supply Chain Management. In\u00a0Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 International Conference, AIAI 2021, Hersonissos, Crete, Greece, June 25\u201327, 2021,"},{"key":"e_1_3_3_1_17_2","volume-title":"On relating BDA to supply chain planning: towards a research agenda.\u00a0International Journal of Physical Distribution & Logistics Management,\u00a051(6), 656-682","author":"Xu J.","year":"2021","unstructured":"Xu, J., Pero, M. E. P., Ciccullo, F., & Sianesi, A. (2021). On relating BDA to supply chain planning: towards a research agenda.\u00a0International Journal of Physical Distribution & Logistics Management,\u00a051(6), 656-682."},{"key":"e_1_3_3_1_18_2","volume-title":"Software-defined network function virtualization: A survey.\u00a0IEEE Access,\u00a03, 2542-2553","author":"Li Y.","year":"2015","unstructured":"Li, Y., & Chen, M. (2015). Software-defined network function virtualization: A survey.\u00a0IEEE Access,\u00a03, 2542-2553."},{"key":"e_1_3_3_1_19_2","volume-title":"Data-driven smart manufacturing.\u00a0Journal of Manufacturing Systems,\u00a048, 157-169","author":"Tao F.","year":"2018","unstructured":"Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing.\u00a0Journal of Manufacturing Systems,\u00a048, 157-169."},{"key":"e_1_3_3_1_20_2","volume-title":"Machine learning in predictive maintenance towards sustainable smart manufacturing in industry 4.0.\u00a0Sustainability,\u00a012(19), 8211","author":"\u00c7\u0131nar Z. M.","year":"2020","unstructured":"\u00c7\u0131nar, Z. M., Abdussalam Nuhu, A., Zeeshan, Q., Korhan, O., Asmael, M., & Safaei, B. (2020). Machine learning in predictive maintenance towards sustainable smart manufacturing in industry 4.0.\u00a0Sustainability,\u00a012(19), 8211."},{"key":"e_1_3_3_1_21_2","volume-title":"Integrating Inventory Management and Distribution: A Holistic Supply Chain Strategy.\u00a0the International Journal of Managing Value and Supply Chains,\u00a015(2), 13-23","author":"Vaka D. K.","year":"2024","unstructured":"Vaka, D. K. (2024). Integrating Inventory Management and Distribution: A Holistic Supply Chain Strategy.\u00a0the International Journal of Managing Value and Supply Chains,\u00a015(2), 13-23."},{"key":"e_1_3_3_1_22_2","volume-title":"Resource allocation strategy for innovation portfolio management.\u00a0Strategic management journal,\u00a035(2), 246-268","author":"Klingebiel R.","year":"2014","unstructured":"Klingebiel, R., & Rammer, C. (2014). Resource allocation strategy for innovation portfolio management.\u00a0Strategic management journal,\u00a035(2), 246-268."},{"key":"e_1_3_3_1_23_2","volume-title":"Integrated anomaly detection for cyber security of the substations.\u00a0IEEE Transactions on Smart Grid,\u00a05(4), 1643-1653","author":"Hong J.","year":"2014","unstructured":"Hong, J., Liu, C. C., & Govindarasu, M. (2014). Integrated anomaly detection for cyber security of the substations.\u00a0IEEE Transactions on Smart Grid,\u00a05(4), 1643-1653."},{"key":"e_1_3_3_1_24_2","volume-title":"An integrated logistics routing and scheduling network model with RFID-GPS data for supply chain management.\u00a0Wireless Personal Communications,\u00a0105, 803-817","author":"Lam C. Y.","year":"2019","unstructured":"Lam, C. Y., & Ip, W. H. (2019). An integrated logistics routing and scheduling network model with RFID-GPS data for supply chain management.\u00a0Wireless Personal Communications,\u00a0105, 803-817."},{"key":"e_1_3_3_1_25_2","volume-title":"Smart manufacturing process and system automation\u2013a critical review of the standards and envisioned scenarios.\u00a0Journal of Manufacturing Systems,\u00a056, 312-325","author":"Lu Y.","year":"2020","unstructured":"Lu, Y., Xu, X., & Wang, L. (2020). Smart manufacturing process and system automation\u2013a critical review of the standards and envisioned scenarios.\u00a0Journal of Manufacturing Systems,\u00a056, 312-325."},{"key":"e_1_3_3_1_26_2","volume-title":"Modelling supply chain information collaboration empowered with machine learning technique.\u00a0Intelligent Automation & Soft Computing,\u00a029(3), 243-257","author":"Ghazal T. M.","year":"2021","unstructured":"Ghazal, T. M., & Alzoubi, H. M. (2021). Modelling supply chain information collaboration empowered with machine learning technique.\u00a0Intelligent Automation & Soft Computing,\u00a029(3), 243-257."},{"key":"e_1_3_3_1_27_2","volume-title":"BDA for intelligent manufacturing systems: A review.\u00a0Journal of Manufacturing Systems,\u00a062, 738-752","author":"Wang J.","year":"2022","unstructured":"Wang, J., Xu, C., Zhang, J., & Zhong, R. (2022). BDA for intelligent manufacturing systems: A review.\u00a0Journal of Manufacturing Systems,\u00a062, 738-752."},{"key":"e_1_3_3_1_28_2","volume-title":"Assessing the awareness and usage of quality control tools with emphasis to statistical process control (SPC) in Ethiopian manufacturing industries.\u00a0Intelligent Information Management,\u00a08(06), 143","author":"Berhe L.","year":"2016","unstructured":"Berhe, L., & Gidey, T. (2016). Assessing the awareness and usage of quality control tools with emphasis to statistical process control (SPC) in Ethiopian manufacturing industries.\u00a0Intelligent Information Management,\u00a08(06), 143."},{"key":"e_1_3_3_1_29_2","volume-title":"An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities.\u00a0Journal of big data,\u00a02, 1-26","author":"O'Donovan P.","year":"2015","unstructured":"O'Donovan, P., Leahy, K., Bruton, K., & O'Sullivan, D. T. (2015). An industrial big data pipeline for data-driven analytics maintenance applications in large-scale smart manufacturing facilities.\u00a0Journal of big data,\u00a02, 1-26."},{"key":"e_1_3_3_1_30_2","volume-title":"BDA capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment.\u00a0British journal of management,\u00a030(2), 272-298","author":"Mikalef P.","year":"2019","unstructured":"Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). BDA capabilities and innovation: the mediating role of dynamic capabilities and moderating effect of the environment.\u00a0British journal of management,\u00a030(2), 272-298."},{"key":"e_1_3_3_1_31_2","volume-title":"BDA for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions.\u00a0Cluster Computing,\u00a025(5), 3343-3387","author":"Ikegwu A. C.","year":"2022","unstructured":"Ikegwu, A. C., Nweke, H. F., Anikwe, C. V., Alo, U. R., & Okonkwo, O. R. (2022). BDA for data-driven industry: a review of data sources, tools, challenges, solutions, and research directions.\u00a0Cluster Computing,\u00a025(5), 3343-3387."},{"key":"e_1_3_3_1_32_2","volume-title":"Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing.\u00a0International Journal of Production Research,\u00a054(5), 1463-1486","author":"Govindan K.","year":"2016","unstructured":"Govindan, K., Jha, P. C., & Garg, K. (2016). Product recovery optimization in closed-loop supply chain to improve sustainability in manufacturing.\u00a0International Journal of Production Research,\u00a054(5), 1463-1486."},{"key":"e_1_3_3_1_33_2","volume-title":"An optimized system to reduce procurement risks and stock-outs: a simulation case study for a component manufacturer.\u00a0Applied Sciences,\u00a011(21), 10374","author":"Gallego-Garc\u00eda D.","year":"2021","unstructured":"Gallego-Garc\u00eda, D., Gallego-Garc\u00eda, S., & Garc\u00eda-Garc\u00eda, M. (2021). An optimized system to reduce procurement risks and stock-outs: a simulation case study for a component manufacturer.\u00a0Applied Sciences,\u00a011(21), 10374."},{"key":"e_1_3_3_1_34_2","unstructured":"Shekhar S. (2016). A CRITICAL EXAMINATION OF CROSS-INDUSTRY PROJECT MANAGEMENT INNOVATIONS AND THEIR TRANSFERABILITY FOR IMPROVING IT PROJECT DELIVERABLES.\u00a0Quarterly Journal of Emerging Technologies and Innovations \u00a01(1) 1-18."},{"key":"e_1_3_3_1_35_2","volume-title":"From big data to smart energy services: An application for intelligent energy management.\u00a0Future Generation Computer Systems,\u00a0110, 572-586","author":"Marinakis V.","year":"2020","unstructured":"Marinakis, V., Doukas, H., Tsapelas, J., Mouzakitis, S., Sicilia, \u00c1., Madrazo, L., & Sgouridis, S. (2020). From big data to smart energy services: An application for intelligent energy management.\u00a0Future Generation Computer Systems,\u00a0110, 572-586."},{"key":"e_1_3_3_1_36_2","volume-title":"BDA capability, and strategic decision-making: Moderating roles of event criticality and disruption of COVID-19.\u00a0Decision Support Systems,\u00a0161, 113745.","author":"Chen L.","year":"2022","unstructured":"Chen, L., Liu, H., Zhou, Z., Chen, M., & Chen, Y. (2022). IT-business alignment, BDA capability, and strategic decision-making: Moderating roles of event criticality and disruption of COVID-19.\u00a0Decision Support Systems,\u00a0161, 113745."},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"publisher","DOI":"10.4018\/JGIM.2021030109"},{"key":"e_1_3_3_1_38_2","volume-title":"How can supply management really improve performance? A knowledge\u2010based model of alignment capabilities.\u00a0Journal of Supply Chain Management,\u00a051(3), 3-17","author":"Handfield R. B.","year":"2015","unstructured":"Handfield, R. B., Cousins, P. D., Lawson, B., & Petersen, K. J. (2015). How can supply management really improve performance? A knowledge\u2010based model of alignment capabilities.\u00a0Journal of Supply Chain Management,\u00a051(3), 3-17."},{"key":"e_1_3_3_1_39_2","volume-title":"User experience design using machine learning: a systematic review.\u00a0IEEE Access,\u00a010, 51501-51514","author":"Abbas A. M.","year":"2022","unstructured":"Abbas, A. M., Ghauth, K. I., & Ting, C. Y. (2022). User experience design using machine learning: a systematic review.\u00a0IEEE Access,\u00a010, 51501-51514."},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1080\/0142159X.2016.1181851"},{"key":"e_1_3_3_1_41_2","volume-title":"\u00a0The user experience team of one: A research and design survival guide. Rosenfeld Media","author":"Buley L.","year":"2024","unstructured":"Buley, L., & Natoli, J. (2024).\u00a0The user experience team of one: A research and design survival guide. Rosenfeld Media."},{"key":"e_1_3_3_1_42_2","volume-title":"A.","author":"Tamym L.","year":"2023","unstructured":"Tamym, L., Benyoucef, L., Nait Sidi Moh, A., & El Ouadghiri, M. D. (2023). BDA-based life cycle sustainability assessment for sustainable manufacturing enterprises evaluation.\u00a0Journal of Big Data,\u00a010(1), 170."},{"key":"e_1_3_3_1_43_2","volume-title":"The nexus of BDA, knowledge sharing, and product innovation in manufacturing.\u00a0Journal of Business Economics and Management,\u00a025(1), 66-84","author":"Yildiz B.","year":"2024","unstructured":"Yildiz, B., \u00c7i\u011fdem, \u015e., Meidut\u0117-Kavaliauskien\u0117, I., & \u010cin\u010dikait\u0117, R. (2024). The nexus of BDA, knowledge sharing, and product innovation in manufacturing.\u00a0Journal of Business Economics and Management,\u00a025(1), 66-84."},{"key":"e_1_3_3_1_44_2","volume-title":"Effects of BDA on Sustainable Manufacturing: A Comparative Study Analysis.\u00a0Chinese Journal of Urban and Environmental Studies,\u00a010(04), 2250022","author":"Er C. H.","year":"2022","unstructured":"Er, C. H., & Mosawi, T. A. (2022). Effects of BDA on Sustainable Manufacturing: A Comparative Study Analysis.\u00a0Chinese Journal of Urban and Environmental Studies,\u00a010(04), 2250022."},{"key":"e_1_3_3_1_45_2","volume-title":"Mapping the market for remanufacturing: An application of \u201cBig Data","author":"Neto J. Q. F.","year":"2020","unstructured":"Neto, J. Q. F., & Dutordoir, M. (2020). Mapping the market for remanufacturing: An application of \u201cBig Data\u201d analytics.\u00a0International Journal of Production Economics,\u00a0230, 107807."},{"key":"e_1_3_3_1_46_2","volume-title":"Mitigating supply chain risk via sustainability using BDA: Evidence from the manufacturing supply chain.\u00a0Sustainability,\u00a09(4), 608","author":"Mani V.","year":"2017","unstructured":"Mani, V., Delgado, C., Hazen, B. T., & Patel, P. (2017). Mitigating supply chain risk via sustainability using BDA: Evidence from the manufacturing supply chain.\u00a0Sustainability,\u00a09(4), 608."},{"key":"e_1_3_3_1_47_2","volume-title":"A big data framework for facilitating product innovation processes.\u00a0Business Process Management Journal,\u00a023(3), 518-536","author":"Zhan Y.","year":"2017","unstructured":"Zhan, Y., Tan, K. H., Ji, G., Chung, L., & Tseng, M. (2017). A big data framework for facilitating product innovation processes.\u00a0Business Process Management Journal,\u00a023(3), 518-536."},{"key":"e_1_3_3_1_48_2","volume-title":"Design and management of manufacturing systems for production quality.\u00a0Cirp Annals,\u00a063(2), 773-796","author":"Colledani M.","year":"2014","unstructured":"Colledani, M., Tolio, T., Fischer, A., Iung, B., Lanza, G., Schmitt, R., & V\u00e1ncza, J. (2014). Design and management of manufacturing systems for production quality.\u00a0Cirp Annals,\u00a063(2), 773-796."},{"key":"e_1_3_3_1_49_2","volume-title":"Agile manufacturing practices: the role of big data and business analytics with multiple case studies.\u00a0International Journal of Production Research,\u00a056(1-2), 385-397","author":"Gunasekaran A.","year":"2018","unstructured":"Gunasekaran, A., Yusuf, Y. Y., Adeleye, E. O., & Papadopoulos, T. (2018). Agile manufacturing practices: the role of big data and business analytics with multiple case studies.\u00a0International Journal of Production Research,\u00a056(1-2), 385-397."},{"key":"e_1_3_3_1_50_2","volume-title":"A comprehensive review of BDA throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions.\u00a0Journal o","author":"Ren S.","year":"2019","unstructured":"Ren, S., Zhang, Y., Liu, Y., Sakao, T., Huisingh, D., & Almeida, C. M. (2019). A comprehensive review of BDA throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions.\u00a0Journal o"},{"key":"e_1_3_3_1_51_2","volume-title":"Quality 4.0: a review of big data challenges in manufacturing.\u00a0Journal of Intelligent Manufacturing,\u00a032(8), 2319-2334","author":"Escobar C. A.","year":"2021","unstructured":"Escobar, C. A., McGovern, M. E., & Morales-Menendez, R. (2021). Quality 4.0: a review of big data challenges in manufacturing.\u00a0Journal of Intelligent Manufacturing,\u00a032(8), 2319-2334."},{"key":"e_1_3_3_1_52_2","volume-title":"BDA for supply chain risk management: research opportunities at process crossroads.\u00a0Business Process Management Journal,\u00a028(4), 1117-1145","author":"de Assis Santos L.","year":"2022","unstructured":"de Assis Santos, L., & Marques, L. (2022). BDA for supply chain risk management: research opportunities at process crossroads.\u00a0Business Process Management Journal,\u00a028(4), 1117-1145."},{"key":"e_1_3_3_1_53_2","volume-title":"Unfolding the link between BDA and supply chain planning.\u00a0Technological Forecasting and Social Change,\u00a0196, 122805","author":"Xu J.","year":"2023","unstructured":"Xu, J., Pero, M., & Fabbri, M. (2023). Unfolding the link between BDA and supply chain planning.\u00a0Technological Forecasting and Social Change,\u00a0196, 122805."},{"key":"e_1_3_3_1_54_2","volume-title":"Critical analysis of the impact of BDA on supply chain operations.\u00a0Production Planning & Control,\u00a035(1), 46-70","author":"Hasan R.","year":"2024","unstructured":"Hasan, R., Kamal, M. M., Daowd, A., Eldabi, T., Koliousis, I., & Papadopoulos, T. (2024). Critical analysis of the impact of BDA on supply chain operations.\u00a0Production Planning & Control,\u00a035(1), 46-70."},{"key":"e_1_3_3_1_55_2","volume-title":"Effect of BDA in Reverse Supply Chain: An Indian Context.\u00a0International Journal of Information Systems and Supply Chain Management (IJISSCM),\u00a015(1), 1-14","author":"Behera A. K.","year":"2022","unstructured":"Behera, A. K., Mohapatra, S., Mahapatra, R., & Das, H. (2022). Effect of BDA in Reverse Supply Chain: An Indian Context.\u00a0International Journal of Information Systems and Supply Chain Management (IJISSCM),\u00a015(1), 1-14."},{"key":"e_1_3_3_1_56_2","volume-title":"Impact of BDA on supply chain performance: an analysis of influencing factors.\u00a0Annals of Operations Research,\u00a0333(2), 769-797","author":"Gopal P. R. C.","year":"2024","unstructured":"Gopal, P. R. C., Rana, N. P., Krishna, T. V., & Ramkumar, M. (2024). Impact of BDA on supply chain performance: an analysis of influencing factors.\u00a0Annals of Operations Research,\u00a0333(2), 769-797."},{"key":"e_1_3_3_1_57_2","volume-title":"Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society.\u00a0Production Planning & Control,\u00a033(2-3), 123-137","author":"Ogbuke N. J.","year":"2022","unstructured":"Ogbuke, N. J., Yusuf, Y. Y., Dharma, K., & Mercangoz, B. A. (2022). Big data supply chain analytics: ethical, privacy and security challenges posed to business, industries and society.\u00a0Production Planning & Control,\u00a033(2-3), 123-137."},{"key":"e_1_3_3_1_58_2","volume-title":"The effects of the blockchain technology and BDA on supply chain performance: The mediating effect supply chain risk management.\u00a0Uncertain","author":"Kalbouneh N.","year":"2023","unstructured":"Kalbouneh, N., Bataineh, K., Al-Hamad, A., Dwakat, M., Abualoush, S., Almasarweh, M., & Al-Smadi, R. (2023). The effects of the blockchain technology and BDA on supply chain performance: The mediating effect supply chain risk management.\u00a0Uncertain"},{"key":"e_1_3_3_1_59_2","volume-title":"An investigation into factors causing delays in road construction projects in Kenya","author":"Atibu M.","year":"2015","unstructured":"Atibu, M. (2015). An investigation into factors causing delays in road construction projects in Kenya."},{"key":"e_1_3_3_1_60_2","volume-title":"Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0.\u00a0Journal of Intelligent Manufacturing,\u00a031, 1531-1558","author":"Usuga Cadavid J. P.","year":"2020","unstructured":"Usuga Cadavid, J. P., Lamouri, S., Grabot, B., Pellerin, R., & Fortin, A. (2020). Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0.\u00a0Journal of Intelligent Manufacturing,\u00a031, 1531-1558."},{"key":"e_1_3_3_1_61_2","series-title":"Vol. 128","volume-title":"\u00a0Inventory management in multi-echelon networks: On the Optimization of Reorder Points\u00a0","author":"Grob C.","year":"2018","unstructured":"Grob, C. (2018).\u00a0Inventory management in multi-echelon networks: On the Optimization of Reorder Points\u00a0(Vol. 128). Springer."},{"key":"e_1_3_3_1_62_2","volume-title":"Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers.\u00a0Transportation research part E: Logistics and transport","author":"Fattahi M.","year":"2017","unstructured":"Fattahi, M., Govindan, K., & Keyvanshokooh, E. (2017). Responsive and resilient supply chain network design under operational and disruption risks with delivery lead-time sensitive customers.\u00a0Transportation research part E: Logistics and transport"}],"event":{"name":"ICIMMI 2024: 6th INTERNATIONAL CONFERENCE ON INFORMATION MANAGEMENT & MACHINE INTELLIGENCE","location":"Jaipur RJ India","acronym":"ICIMMI 2024"},"container-title":["Proceedings of the 6th International Conference on Information Management &amp; Machine Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3745812.3745813","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T16:19:06Z","timestamp":1756829946000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3745812.3745813"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,23]]},"references-count":62,"alternative-id":["10.1145\/3745812.3745813","10.1145\/3745812"],"URL":"https:\/\/doi.org\/10.1145\/3745812.3745813","relation":{},"subject":[],"published":{"date-parts":[[2024,12,23]]},"assertion":[{"value":"2025-09-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}