The application of big data analytics in optimizing logistics: a developmental perspective review
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Addo-Tenkorang R, Helo PT (2016) Big data applications in operations/supply-chain management: a literature review. Comput Ind Eng 101:528–543
Aliresearch (2017) Big data development report on China smart logistics. http://i.aliresearch.com/img/20170328/20170328173815.pdf . Accessed 18 June 2018
Ayed AB, Halima MB, Alimi AM (2015) Big data analytics for logistics and transportation. 2015 4th international conference on advanced logistics and transport (ICALT 2015). IEEE:311–316
Barreto L, Amaral A, Pereira T (2017) Industry 4.0 implications in logistics: an overview. Procedia Manuf 13:1245–1252
Boone CA, Skipper JB, Hazen BT (2017) A framework for investigating the role of big data in service parts management. J Clean Prod 153:687–691
Chatterjee R, Chatterjee R (2017) An overview of the emerging technology: blockchain. 2017 3rd International Conference on Computational Intelligence and Networks (CINE) IEEE:126–127
Chen H, Chiang RH, Storey VC (2012) Business intelligence and analytics: from big data to big impact. MIS Q 36:1165–1188
Dong JQ, Yang, C-H (2018) Business value of big data analytics: a systems-theoretic approach and empirical test. Inform Man in press
Fernie J, Sparks L (2014) Logistics and retail management: emerging issues and new challenges in the retail supply chain. Kogan Page
Ghosh D (2015) Big data in logistics and supply chain management: a rethinking step. 2015 International Symposium on Advanced Computing and Communication (ISACC) IEEE:168–173
Grover V, Chiang RH, Liang T-P, Zhang D (2018) Creating strategic business value from big data analytics: a research framework. J Man Inform Sy 35:388–423
Haftor D, Kajtazi M, Mirijamdotter A (2010) Research and practice agenda of industrial e-maintenance: information logistics as a driver for development. The 1st international workshop and congress on eMaintenance, Luleå, pp 56–61
Han Z, Li X, Zhang T, Chen S (2015) Research on the influence mechanism from changing logistics demand of manufacturing industry to the logistics industry based on the big data analysis. Logist Eng Man 5:23–26
Hildebrand C, Häubl G, Herrmann A (2014) Product customization via starting solutions. J Marketing Res 51:707–725
Hofmann E, Rüsch M (2017) Industry 4.0 and the current status as well as future prospects on logistics. Comput Ind 89:23–34
Jabeur N, Al-Belushi T, Mbarki M, Gharrad H (2017) Toward leveraging smart logistics collaboration with a multi-agent system based solution. Proced Comp Sci109:672–679
Jin D-H, Kim H-J (2018) Integrated understanding of big data, big data analysis, and business intelligence: a case study of logistics. Sustainability 10:3778
Kataria M, Mittal MP (2014) Big data: a review. Int J Comput Sci Mobile Comput 3:106–110
Kaur H, Singh SP (2018) Heuristic modeling for sustainable procurement and logistics in a supply chain using big data. Comp Op Res 98:301–321
Kverneland H, Chahine G, Forrester S, Brooks A (2017) Industrial platform harnesses big data to reduce cost, increase efficiency and safety. World Oil 238:77–82
Lavalle S, Lesser E, Shockley R, Hopkins MS, Kruschwitz N (2011) Big data, analytics and the path from insights to value. MIT Sloan Manag Rev 52:21–32
Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH (2011) Big data: the next frontier for innovation, competition, and productivity. McKinsey Global Institute
Ranieri L, Digiesi S, Silvestri B, Roccotelli M (2018) A review of last mile logistics innovations in an externalities cost reduction vision. Sustainability 10:782
Sagiroglu S, Sinanc D (2013) Big data: a review. 2013 International Conference on Collaboration Technologies and Systems (CTS) IEEE:42–47
Schliwa G, Armitage R, Aziz S, Evans J, Rhoades J (2015) Sustainable city logistics: making cargo cycles viable for urban freight transport. Res Transport Bus Man 15:50–57
Shen C, Tong W, Hwang J-N, Gao Q (2017) Performance modeling of big data applications in the cloud centers. J Supercomput 73:2258–2283
Ting S, Tse Y, Ho G, Chung S, Pang G (2014) Mining logistics data to assure the quality in a sustainable food supply chain: a case in the red wine industry. Int J Prod Econ 152:200–209
Urbinati A, Bogers M, Chiesa V, Frattini F (2018) Creating and capturing value from big data: a multiple-case study analysis of provider companies. Technovation in press
Walker JS (2014) Big data: a revolution that will transform how we live, work, and think. Int J Advert 33:181–183
Wang G, Gunasekaran A, Ngai EW, Papadopoulos T (2016) Big data analytics in logistics and supply chain management: certain investigations for research and applications. Int J Prod Econ 176:98–110
Wang Y, Feng L, Chang H, Wu M (2017) Research on the impact of big data on logistics. MATEC Web of Conferences 100:02015
Witkowski K (2017) Internet of things, big data, industry 4.0: innovative solutions in logistics and supply chains management. Procedia Engineer 182:763–769
Yang M, Mahmood M, Zhou X, Shafaq S, Zahid L (2017) Design and implementation of cloud platform for intelligent logistics in the trend of intellectualization. China Comm 14:180–191
Yoo J, Park M (2016) The effects of e-mass customization on consumer perceived value, satisfaction, and loyalty toward luxury brands. J Bus Res 69:5775–5784
Zhang J, Tan W (2010) The development of logistics and industrial agglomeration. ICLEM 2010: logistics for sustained economic development: infrastructure, information, integration ASCE, pp 98–104
Zhang Y, Guo Z, Lv J, Liu Y (2018) A framework for smart production-logistics systems based on CPS and industrial IoT. IEEE Trans Indust Inf 14:1409–4032
Zhong RY, Huang GQ, Lan S, Dai Q, Chen X, Zhang T (2015) A big data approach for logistics trajectory discovery from RFID-enabled production data. Int J Prod Econ 165:260–272
Zhong RY, Newman ST, Huang GQ, Lan S (2016) Big data for supply chain management in the service and manufacturing sectors: challenges, opportunities, and future perspectives. Comput Ind Eng 101:572–591