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Big data analytics in logistics and supply chain management: Certain investigations for research and applications

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  1. Majumdar, Adrija & Bose, Indranil, 2019. "Do tweets create value? A multi-period analysis of Twitter use and content of tweets for manufacturing firms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 1-11.
  2. Omar, Yamila M. & Minoufekr, Meysam & Plapper, Peter, 2019. "Business analytics in manufacturing: Current trends, challenges and pathway to market leadership," Operations Research Perspectives, Elsevier, vol. 6(C).
  3. Łukasz Wieczorek & Przemysław Ignaciuk, 2018. "Continuous Genetic Algorithms as Intelligent Assistance for Resource Distribution in Logistic Systems," Data, MDPI, vol. 3(4), pages 1-14, December.
  4. Hans-Joachim Schramm & Carolin Nicole Czaja & Michael Dittrich & Matthias Mentschel, 2019. "Current Advancements of and Future Developments for Fourth Party Logistics in a Digital Future," Logistics, MDPI, vol. 3(1), pages 1-17, February.
  5. Narayan Prasad Nagendra & Gopalakrishnan Narayanamurthy & Roger Moser, 2022. "Management of humanitarian relief operations using satellite big data analytics: the case of Kerala floods," Annals of Operations Research, Springer, vol. 319(1), pages 885-910, December.
  6. Govindan, Kannan & Gholizadeh, Hadi, 2021. "Robust network design for sustainable-resilient reverse logistics network using big data: A case study of end-of-life vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
  7. Akter, Shahriar & Gunasekaran, Angappa & Wamba, Samuel Fosso & Babu, Mujahid Mohiuddin & Hani, Umme, 2020. "Reshaping competitive advantages with analytics capabilities in service systems," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
  8. Jean-Sébastien Lacam & David Salvetat, 2021. "Big data and Smart data: two interdependent and synergistic digital policies within a virtuous data exploitation loop," Post-Print hal-03434863, HAL.
  9. Gang Wang & Angappa Gunasekaran & Eric W. T. Ngai, 2018. "Distribution network design with big data: model and analysis," Annals of Operations Research, Springer, vol. 270(1), pages 539-551, November.
  10. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
  11. Ahmed, Adeel & Bhatti, Sabeen Hussain & Gölgeci, Ismail & Arslan, Ahmad, 2022. "Digital platform capability and organizational agility of emerging market manufacturing SMEs: The mediating role of intellectual capital and the moderating role of environmental dynamism," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
  12. Wang, Hui & Gong, Qiguo & Wang, Shouyang, 2017. "Information processing structures and decision making delays in MRP and JIT," International Journal of Production Economics, Elsevier, vol. 188(C), pages 41-49.
  13. Hazen, Benjamin T. & Weigel, Fred K. & Ezell, Jeremy D. & Boehmke, Bradley C. & Bradley, Randy V., 2017. "Toward understanding outcomes associated with data quality improvement," International Journal of Production Economics, Elsevier, vol. 193(C), pages 737-747.
  14. Leonardo de Assis Santos & Leonardo Marques, 2022. "Big data analytics for supply chain risk management: research opportunities at process crossroads," Post-Print hal-03766121, HAL.
  15. Sijing Liu & Jiuping Xu & Xiaoyuan Shi & Guoqi Li & Dinglong Liu, 2018. "Sustainable Distribution Organization Based on the Supply–Demand Coordination in Large Chinese Cities," Sustainability, MDPI, vol. 10(9), pages 1-25, August.
  16. Qiuxia Ren & Jigan Wang, 2023. "Research on Enterprise Digital-Level Classification Based on XGBoost Model," Sustainability, MDPI, vol. 15(3), pages 1-13, February.
  17. Muhammad Saqib Khan & Haijun Wang & Qing Wang & Waseem Khan & Tahira Javed, 2021. "Examining the relationship between the level of logistics service quality, relationship quality and repurchase intention in e-retail sector of Pakistan," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 10(1), pages 189-204, January.
  18. Bag, Surajit & Gupta, Shivam & Kumar, Sameer, 2021. "Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development," International Journal of Production Economics, Elsevier, vol. 231(C).
  19. Tino T. Herden & Benjamin Nitsche & Benno Gerlach, 2020. "Overcoming Barriers in Supply Chain Analytics—Investigating Measures in LSCM Organizations," Logistics, MDPI, vol. 4(1), pages 1-27, February.
  20. Esmizadeh, Yalda & Bashiri, Mahdi & Jahani, Hamed & Almada-Lobo, Bernardo, 2021. "Cold chain management in hierarchical operational hub networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
  21. Amit Kumar Gupta & Harshit Goyal, 2021. "Framework for implementing big data analytics in Indian manufacturing: ISM-MICMAC and Fuzzy-AHP approach," Information Technology and Management, Springer, vol. 22(3), pages 207-229, September.
  22. Thamir Hamad Alaskar & Amin K. Alsadi, 2023. "Drivers of mobile commerce adoption intention by Saudi SMEs during the COVID-19 pandemic," Future Business Journal, Springer, vol. 9(1), pages 1-13, December.
  23. Daniel A. Griffith & Bradley Boehmke & Randy V. Bradley & Benjamin T. Hazen & Alan W. Johnson, 2019. "Embedded analytics: improving decision support for humanitarian logistics operations," Annals of Operations Research, Springer, vol. 283(1), pages 247-265, December.
  24. Gružauskas Valentas & Vilkas Mantas, 2017. "Managing Capabilities for Supply Chain Resilience Through it Integration," Economics and Business, Sciendo, vol. 31(1), pages 30-43, August.
  25. Xue, Fujing & Li, Xiaoyu & Zhang, Ting & Hu, Nan, 2021. "Stock market reactions to the COVID-19 pandemic: The moderating role of corporate big data strategies based on Word2Vec," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
  26. Ying, Song & Sindakis, Stavros & Aggarwal, Sakshi & Chen, Charles & Su, Jiafu, 2021. "Managing big data in the retail industry of Singapore: Examining the impact on customer satisfaction and organizational performance," European Management Journal, Elsevier, vol. 39(3), pages 390-400.
  27. Sundarakani, Balan & Ajaykumar, Aneesh & Gunasekaran, Angappa, 2021. "Big data driven supply chain design and applications for blockchain: An action research using case study approach," Omega, Elsevier, vol. 102(C).
  28. Ewa Stawiarska & Danuta Szwajca & Mirosław Matusek & Radosław Wolniak, 2021. "Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland," Sustainability, MDPI, vol. 13(9), pages 1-38, April.
  29. Arunachalam, Deepak & Kumar, Niraj & Kawalek, John Paul, 2018. "Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 416-436.
  30. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  31. Muhammad Noman Shafique & Ammar Rashid & Sook Fern Yeo & Umar Adeel, 2023. "Transforming Supply Chains: Powering Circular Economy with Analytics, Integration and Flexibility Using Dual Theory and Deep Learning with PLS-SEM-ANN Analysis," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
  32. Shuai Zhang & Kai Huang & Yufei Yuan, 2021. "Spare Parts Inventory Management: A Literature Review," Sustainability, MDPI, vol. 13(5), pages 1-23, February.
  33. Badr Bentalha, 2020. "Big-Data and Service Supply chain management: Challenges and opportunities [Big-Data et Service Supply chain management: Challenges et opportunités]," Post-Print hal-02680861, HAL.
  34. Maryam Philsoophian & Peyman Akhavan & Morteza Abbasi, 2021. "Strategic Alliance for Resilience in Supply Chain: A Bibliometric Analysis," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
  35. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
  36. Papanagnou, Christos & Seiler, Andreas & Spanaki, Konstantina & Papadopoulos, Thanos & Bourlakis, Michael, 2022. "Data-driven digital transformation for emergency situations: The case of the UK retail sector," International Journal of Production Economics, Elsevier, vol. 250(C).
  37. Catherine Marinagi & Panagiotis Reklitis & Panagiotis Trivellas & Damianos Sakas, 2023. "The Impact of Industry 4.0 Technologies on Key Performance Indicators for a Resilient Supply Chain 4.0," Sustainability, MDPI, vol. 15(6), pages 1-31, March.
  38. Anna Borucka, 2023. "Seasonal Methods of Demand Forecasting in the Supply Chain as Support for the Company’s Sustainable Growth," Sustainability, MDPI, vol. 15(9), pages 1-21, April.
  39. Yun Liu & Zhe Yan & Yijie Cheng & Xuanting Ye, 2018. "Exploring the Technological Collaboration Characteristics of the Global Integrated Circuit Manufacturing Industry," Sustainability, MDPI, vol. 10(1), pages 1-23, January.
  40. Niebel, Thomas & Rasel, Fabienne & Viete, Steffen, 2017. "BIG data - BIG gains? Empirical evidence on the link between big data analytics and innovation," ZEW Discussion Papers 17-053, ZEW - Leibniz Centre for European Economic Research.
  41. Raphaëlle Barbier & Benoit Weil & Pascal Le Masson, 2019. "Creating value from data in an ecosystem: building and expanding relationships between data and seemingly distant usages," Post-Print hal-02168086, HAL.
  42. Sheng, Jie & Amankwah-Amoah, Joseph & Wang, Xiaojun, 2017. "A multidisciplinary perspective of big data in management research," International Journal of Production Economics, Elsevier, vol. 191(C), pages 97-112.
  43. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
  44. Maryam Gallab & Hafida Bouloiz & Sekoun Abdoudrahamane Kebe & Mohamed Tkiouat, 2021. "Opportunities and challenges of the industry 4.0 in industrial companies: a survey on Moroccan firms," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(3), pages 413-439, September.
  45. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
  46. Chen, Xi & Wong, Tse Chiu, 2021. "Application of social media data in supply chain management : A systematic review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 499-523, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  47. Shenle Pan & Vaggelis Giannikas & Yufei Han & Etta Grover-Silva & Bin Qiao, 2017. "Using Customer-related Data to Enhance E-grocery Home Delivery," Post-Print hal-01482901, HAL.
  48. Francesco Facchini & Joanna Oleśków-Szłapka & Luigi Ranieri & Andrea Urbinati, 2019. "A Maturity Model for Logistics 4.0: An Empirical Analysis and a Roadmap for Future Research," Sustainability, MDPI, vol. 12(1), pages 1-18, December.
  49. Hausladen, Iris & Schosser, Maximilian, 2020. "Towards a maturity model for big data analytics in airline network planning," Journal of Air Transport Management, Elsevier, vol. 82(C).
  50. Teoman, Seyhan, 2020. "Achieving The Customized “Rights” Of Logistics By Adopting Novel Technologies: A Conceptual Approach And Literature Review," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 11(2), pages 231-242.
  51. Vecchio, Pasquale Del & Secundo, Giustina & Maruccia, Ylenia & Passiante, Giuseppina, 2019. "A system dynamic approach for the smart mobility of people: Implications in the age of big data," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
  52. Prikshat, Verma & Islam, Mohammad & Patel, Parth & Malik, Ashish & Budhwar, Pawan & Gupta, Suraksha, 2023. "AI-Augmented HRM: Literature review and a proposed multilevel framework for future research," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  53. Pan, Qiaohong & Luo, Wenping & Fu, Yi, 2022. "A csQCA study of value creation in logistics collaboration by big data: A perspective from companies in China," Technology in Society, Elsevier, vol. 71(C).
  54. Ahi, Alan A. & Sinkovics, Noemi & Shildibekov, Yelnur & Sinkovics, Rudolf R. & Mehandjiev, Nikolay, 2022. "Advanced technologies and international business: A multidisciplinary analysis of the literature," International Business Review, Elsevier, vol. 31(4).
  55. Biman Darshana Hettiarachchi & Stefan Seuring & Marcus Brandenburg, 2022. "Industry 4.0-driven operations and supply chains for the circular economy: a bibliometric analysis," Operations Management Research, Springer, vol. 15(3), pages 858-878, December.
  56. Yap, Wei Yim & Hsieh, Cheng-Hsien & Lee, Paul Tae-Woo, 2023. "Shipping connectivity data analytics: Implications for maritime policy," Transport Policy, Elsevier, vol. 132(C), pages 112-127.
  57. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "Towards a business analytics capability for the circular economy," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  58. Vinicius Luiz Ferraz Minatogawa & Matheus Munhoz Vieira Franco & Izabela Simon Rampasso & Rosley Anholon & Ruy Quadros & Orlando Durán & Antonio Batocchio, 2019. "Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations," Sustainability, MDPI, vol. 12(1), pages 1-29, December.
  59. Ayman wael AL-Khatib & Ahmed Shuhaiber, 2022. "Green Intellectual Capital and Green Supply Chain Performance: Does Big Data Analytics Capabilities Matter?," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
  60. Montero Guerra, José Manuel & Danvila-del-Valle, Ignacio & Méndez Suárez, Mariano, 2023. "The impact of digital transformation on talent management," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
  61. Claudio Vitari & Elisabetta Raguseo, 2019. "Big data analytics business value and firm performance: Linking with environmental context," Post-Print hal-02293765, HAL.
  62. Zhan, Yuanzhu & Tan, Kim Hua, 2020. "An analytic infrastructure for harvesting big data to enhance supply chain performance," European Journal of Operational Research, Elsevier, vol. 281(3), pages 559-574.
  63. Gianluca Vitale & Sebastiano Cupertino & Angelo Riccaboni, 2020. "Big data and management control systems change: the case of an agricultural SME," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 123-152, April.
  64. Judit Nagy & Judit Oláh & Edina Erdei & Domicián Máté & József Popp, 2018. "The Role and Impact of Industry 4.0 and the Internet of Things on the Business Strategy of the Value Chain—The Case of Hungary," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
  65. Vinay Reddy Venumuddala & Rajalaxmi Kamath, 2023. "Work Systems in the Indian Information Technology (IT) Industry Delivering Artificial Intelligence (AI) Solutions and the Challenges of Work from Home," Information Systems Frontiers, Springer, vol. 25(4), pages 1375-1399, August.
  66. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
  67. Vaibhav S. Narwane & Rakesh D. Raut & Sachin Kumar Mangla & Manoj Dora & Balkrishna E. Narkhede, 2023. "Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains," Annals of Operations Research, Springer, vol. 327(1), pages 339-374, August.
  68. Fernando Garrigós-Simón & Silvia Sanz-Blas & Yeamduan Narangajavana & Daniela Buzova, 2021. "The Nexus between Big Data and Sustainability: An Analysis of Current Trends and Developments," Sustainability, MDPI, vol. 13(12), pages 1, June.
  69. Guilherme F. Frederico, 2021. "Project Management for Supply Chains 4.0: A conceptual framework proposal based on PMBOK methodology," Operations Management Research, Springer, vol. 14(3), pages 434-450, December.
  70. Di Wang & Weihua Liu & Yanjie Liang & Shuang Wei, 2023. "Decision optimization in service supply chain: the impact of demand and supply-driven data value and altruistic behavior," Annals of Operations Research, Springer, vol. 324(1), pages 971-992, May.
  71. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
  72. Mikalef, Patrick & Boura, Maria & Lekakos, George & Krogstie, John, 2019. "Big data analytics and firm performance: Findings from a mixed-method approach," Journal of Business Research, Elsevier, vol. 98(C), pages 261-276.
  73. Yu, Wantao & Zhao, Gen & Liu, Qi & Song, Yongtao, 2021. "Role of big data analytics capability in developing integrated hospital supply chains and operational flexibility: An organizational information processing theory perspective," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  74. Eugenia Babiloni & Ester Guijarro & Juan R. Trapero, 2023. "Stock control analytics: a data-driven approach to compute the fill rate considering undershoots," Operational Research, Springer, vol. 23(1), pages 1-25, March.
  75. Videsh Desingh & Baskaran R, 2022. "Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 318-351, January.
  76. Yu, Wantao & Wong, Chee Yew & Chavez, Roberto & Jacobs, Mark A., 2021. "Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture," International Journal of Production Economics, Elsevier, vol. 236(C).
  77. Pan Liu & Shu-ping Yi, 2018. "A study on supply chain investment decision-making and coordination in the Big Data environment," Annals of Operations Research, Springer, vol. 270(1), pages 235-253, November.
  78. Gunasekaran, Angappa & Papadopoulos, Thanos & Dubey, Rameshwar & Wamba, Samuel Fosso & Childe, Stephen J. & Hazen, Benjamin & Akter, Shahriar, 2017. "Big data and predictive analytics for supply chain and organizational performance," Journal of Business Research, Elsevier, vol. 70(C), pages 308-317.
  79. Kalaitzi, Dimitra & Tsolakis, Naoum, 2022. "Supply chain analytics adoption: Determinants and impacts on organisational performance and competitive advantage," International Journal of Production Economics, Elsevier, vol. 248(C).
  80. Haße, Hendrik & Li, Bin & Weißenberg, Norbert & Cirullies, Jan & Otto, Boris, 2019. "Digital twin for real-time data processing in logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Proceedings of the Hamburg Int, volume 27, pages 4-28, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  81. Pietro De Giovanni, 2019. "Digital Supply Chain through Dynamic Inventory and Smart Contracts," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
  82. Wilkin, Carla & Ferreira, Aldónio & Rotaru, Kristian & Gaerlan, Luigi Red, 2020. "Big data prioritization in SCM decision-making: Its role and performance implications," International Journal of Accounting Information Systems, Elsevier, vol. 38(C).
  83. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
  84. Koopo Kwon & Jaeryong So, 2023. "Future Smart Logistics Technology Based on Patent Analysis Using Temporal Network," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
  85. Daojun Zhong & Tengfei Lyu, 2022. "Implementation of supply chain management practices and its effect on textile firm's performance at China: A mediation analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2515-2528, September.
  86. Patrucco, Andrea S. & Marzi, Giacomo & Trabucchi, Daniel, 2023. "The role of absorptive capacity and big data analytics in strategic purchasing and supply chain management decisions," Technovation, Elsevier, vol. 126(C).
  87. Neto, Anis Assad & Ribeiro da Silva, Elias & Deschamps, Fernando & do Nascimento Junior, Laercio Alves & Pinheiro de Lima, Edson, 2023. "Modeling production disorder: Procedures for digital twins of flexibility-driven manufacturing systems," International Journal of Production Economics, Elsevier, vol. 260(C).
  88. Schoenherr, Tobias, 2023. "Supply chain management professionals’ proficiency in big data analytics: Antecedents and impact on performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
  89. Andreas Thöni & Alfred Taudes & A Min Tjoa, 2018. "An information system for assessing the likelihood of child labor in supplier locations leveraging Bayesian networks and text mining," Information Systems and e-Business Management, Springer, vol. 16(2), pages 443-476, May.
  90. Sara Pourmorshed & Susanne Durst, 2022. "The Usefulness of the Digitalization Integration Framework for Developing Digital Supply Chains in SMEs," Sustainability, MDPI, vol. 14(21), pages 1-17, November.
  91. Kristoffersen, Eivind & Mikalef, Patrick & Blomsma, Fenna & Li, Jingyue, 2021. "The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance," International Journal of Production Economics, Elsevier, vol. 239(C).
  92. Xu, Liming & Mak, Stephen & Brintrup, Alexandra, 2021. "Will bots take over the supply chain? Revisiting agent-based supply chain automation," International Journal of Production Economics, Elsevier, vol. 241(C).
  93. Lo, Shirleen Lee Yuen & How, Bing Shen & Leong, Wei Dong & Teng, Sin Yong & Rhamdhani, Muhammad Akbar & Sunarso, Jaka, 2021. "Techno-economic analysis for biomass supply chain: A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
  94. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Roubaud, David & Fosso Wamba, Samuel & Giannakis, Mihalis & Foropon, Cyril, 2019. "Big data analytics and organizational culture as complements to swift trust and collaborative performance in the humanitarian supply chain," International Journal of Production Economics, Elsevier, vol. 210(C), pages 120-136.
  95. Zhan, Yuanzhu & Han, Runyue & Tse, Mike & Ali, Mohd Helmi & Hu, Jiayao, 2021. "A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
  96. Deepa Mishra & Angappa Gunasekaran & Thanos Papadopoulos & Stephen J. Childe, 2018. "Big Data and supply chain management: a review and bibliometric analysis," Annals of Operations Research, Springer, vol. 270(1), pages 313-336, November.
  97. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
  98. Sena Aydoğan & Gül E. Okudan Kremer & Diyar Akay, 2021. "Linguistic summarization to support supply network decisions," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1573-1586, August.
  99. Adem Emre & Seher Somuncu & Meltem Korkmaz & Ebru Demirci, 2024. "Conceptual awareness levels of digital logistics among Turkish university students," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
  100. Elena Barzizza & Nicolò Biasetton & Riccardo Ceccato & Luigi Salmaso, 2023. "Big Data Analytics and Machine Learning in Supply Chain 4.0: A Literature Review," Stats, MDPI, vol. 6(2), pages 1-21, May.
  101. Qaisar Ali & Hakimah Yaacob & Shazia Parveen & Zaki Zaini, 2021. "Big data and predictive analytics to optimise social and environmental performance of Islamic banks," Environment Systems and Decisions, Springer, vol. 41(4), pages 616-632, December.
  102. Chung, Sai-Ho, 2021. "Applications of smart technologies in logistics and transport: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
  103. Belhadi, Amine & Kamble, Sachin & Benkhati, Imane & Gupta, Shivam & Mangla, Sachin Kumar, 2023. "Does strategic management of digital technologies influence electronic word-of-mouth (eWOM) and customer loyalty? Empirical insights from B2B platform economy," Journal of Business Research, Elsevier, vol. 156(C).
  104. Büchi, Giacomo & Cugno, Monica & Castagnoli, Rebecca, 2020. "Smart factory performance and Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 150(C).
  105. Tino T. Herden & Steffen Bunzel, 2018. "Archetypes of Supply Chain Analytics Initiatives—An Exploratory Study," Logistics, MDPI, vol. 2(2), pages 1-20, May.
  106. Xiangyu Chang & Yinghui Huang & Mei Li & Xin Bo & Subodha Kumar, 2021. "Efficient Detection of Environmental Violators: A Big Data Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1246-1270, May.
  107. Wang, Shuaian & Yan, Ran, 2023. "Fundamental challenge and solution methods in prescriptive analytics for freight transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
  108. El-Haddadeh, Ramzi & Osmani, Mohamad & Hindi, Nitham & Fadlalla, Adam, 2021. "Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics," Journal of Business Research, Elsevier, vol. 131(C), pages 402-410.
  109. Magdalena Osinska & Wojciech Zalewski, 2020. "Determinants of Using Telematics Systems in Road Transport Companies," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 474-487.
  110. Lodemann, Sebastian & Kersten, Wolfgang, 2021. "Supply chain analytics implementation: A TOE perspective," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 411-434, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
  111. Romero-Silva, Rodrigo & de Leeuw, Sander, 2021. "Learning from the past to shape the future: A comprehensive text mining analysis of OR/MS reviews," Omega, Elsevier, vol. 100(C).
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