Exploring big data analytics capabilities for supply chain: a systematic literature review
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[1] Aleš Popovič,et al. Towards business intelligence systems success: Effects of maturity and culture on analytical decision making , 2012, Decis. Support Syst..
[2] Meikang Qiu,et al. A Case Study of Sensor Data Collection and Analysis in Smart City: Provenance in Smart Food Supply Chain , 2013, Int. J. Distributed Sens. Networks.
[3] Anne-Maria Aho. Product Data Analytics Service Model for Manufacturing Company , 2015, KMO.
[4] David D. Dobrzykowski,et al. Examining Absorptive Capacity in Supply Chains: Linking Responsive Strategy and Firm Performance , 2015 .
[5] Michael Dinger,et al. Absorptive Capacity and Information Systems Research: Review, Synthesis, and Directions for Future Research , 2012, MIS Q..
[6] Stefan Seuring,et al. From a literature review to a conceptual framework for sustainable supply chain management , 2008 .
[7] Nenad Stefanovic. Proactive Supply Chain Performance Management with Predictive Analytics , 2014, TheScientificWorldJournal.
[8] T. Davenport. Competing on analytics. , 2006, Harvard business review.
[9] Jurijs Tolujevs,et al. Modelling and Analysis of Logistical State Data , 2013 .
[10] Daniel A. Levinthal,et al. ABSORPTIVE CAPACITY: A NEW PERSPECTIVE ON LEARNING AND INNOVATION , 1990 .
[11] N. Sanders. How to Use Big Data to Drive Your Supply Chain , 2016 .
[12] Hing Kai Chan,et al. The role of social media data in operations and production management , 2017, Int. J. Prod. Res..
[13] Nishikant Mishra,et al. Use of twitter data for waste minimisation in beef supply chain , 2018, Ann. Oper. Res..
[14] P. Mayring. Qualitative Content Analysis , 2000 .
[15] Peter A. O'Donnell,et al. Organisational transformation through Business Intelligence: theory, the vendor perspective and a research agenda , 2012, J. Decis. Syst..
[16] Zhiduan Xu,et al. From a systematic literature review to integrated definition for sustainable supply chain innovation (SSCI) , 2017 .
[17] Shahriar Akter,et al. How ‘Big Data’ Can Make Big Impact: Findings from a Systematic Review and a Longitudinal Case Study , 2015 .
[18] Benjamin T. Hazen,et al. Big data and predictive analytics for supply chain sustainability: A theory-driven research agenda , 2016, Comput. Ind. Eng..
[19] Morgan Swink,et al. How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management , 2015, J. Manag. Inf. Syst..
[20] Omar El Sawy,et al. Absorptive Capacity Configurations in Supply Chains: Gearing for Partner-Enabled Market Knowledge Creation , 2005, MIS Q..
[21] Kim Hua,et al. Harvesting Big Data to Enhance Supply Chain Innovation Capabilities : An Analytic Infrastructure Based on Deduction Graph , 2016 .
[22] Rahul C. Basole,et al. Visual analytics for supply network management: System design and evaluation , 2016, Decis. Support Syst..
[23] B. Chae,et al. Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research , 2015 .
[24] Guangming Cao,et al. Linking Business Analytics to Decision Making Effectiveness: A Path Model Analysis , 2015, IEEE Transactions on Engineering Management.
[25] Gang Xiong,et al. Intelligent Technologies and Systems of Material Management , 2015, Intelligent Techniques in Engineering Management.
[26] Joseph Sarkis,et al. Green supply chain management: A review and bibliometric analysis , 2015 .
[27] Peter Trkman,et al. The impact of business analytics on supply chain performance , 2010, Decis. Support Syst..
[28] Madhav Erraguntla,et al. Better management of blood supply-chain with GIS-based analytics , 2011, Ann. Oper. Res..
[29] Erik Hofmann,et al. Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect , 2017, Int. J. Prod. Res..
[30] Ray Y. Zhong,et al. Visualization of RFID-enabled shopfloor logistics Big Data in Cloud Manufacturing , 2015, The International Journal of Advanced Manufacturing Technology.
[31] Rainer Göb,et al. A predictive analytics approach for demand forecasting in the process industry , 2015, Int. Trans. Oper. Res..
[32] Ray Y. Zhong,et al. A big data approach for logistics trajectory discovery from RFID-enabled production data , 2015 .
[33] Eric W. T. Ngai,et al. Customer reviews for demand distribution and sales nowcasting: a big data approach , 2016, Annals of Operations Research.
[34] J. Bhattacharjya,et al. An exploration of logistics-related customer service provision on Twitter , 2016 .
[35] David L. Olson,et al. The impact of supply chain analytics on operational performance: a resource-based view , 2014 .
[36] Chintan Amrit,et al. Predictive analytics for truck arrival time estimation: a field study at a European distribution centre , 2017, Int. J. Prod. Res..
[37] A. Gunasekaran,et al. The role of Big Data in explaining disaster resilience in supply chains for sustainability , 2017 .
[38] Philip E. T. Lewis,et al. Research Methods for Business Students , 2006 .