{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:33:27Z","timestamp":1750221207946,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":26,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3277139.3277144","type":"proceedings-article","created":{"date-parts":[[2018,11,1]],"date-time":"2018-11-01T12:19:10Z","timestamp":1541074750000},"page":"33-37","source":"Crossref","is-referenced-by-count":1,"title":["The effect of big data analytics on firms sustainable competitive advantage of quality"],"prefix":"10.1145","author":[{"given":"Guoli","family":"Pu","sequence":"first","affiliation":[{"name":"Xi'an University of Technology, Xi'an, Shaanxi, P.R.China"}]},{"given":"Yuanyuan","family":"Li","sequence":"additional","affiliation":[{"name":"Xi'an University of Technology, Xi'an, Shaanxi, P.R.China"}]},{"given":"Ju","family":"Bai","sequence":"additional","affiliation":[{"name":"Xi'an University of Technology, Xi'an, Shaanxi, P.R.China"}]}],"member":"320","reference":[{"key":"key-10.1145\/3277139.3277144-1","doi-asserted-by":"crossref","unstructured":"Kaitlin, D. W., Christopher, A. B. 2015. So Many Recalls, So Little Research: A Review of the Literature and Road map for Future Research.J. Supply Chain Management.51, 4, 54--72.","DOI":"10.1111\/jscm.12079"},{"key":"key-10.1145\/3277139.3277144-2","unstructured":"Jack, C., Lemuria, C. 2015. The impact of information technology on product recalls: exploring the role of the six \"Ts\" of supply chain management.Production Planning & Control: The Management of Operations.26, 12, 958--968."},{"key":"key-10.1145\/3277139.3277144-3","unstructured":"Erik, H. 2017. Big data and supply chain decisions: the impact of volume, variety and velocity properties on the bullwhip effect.Int. J. Production Research.55, 17, 1--19."},{"key":"key-10.1145\/3277139.3277144-4","doi-asserted-by":"crossref","unstructured":"Hahn, G. J., Packowski, J. 2015. A Perspective on Applications of In-memory Analytics in Supply Chain Management.Decision Support Systems.76, 45--52.","DOI":"10.1016\/j.dss.2015.01.003"},{"key":"key-10.1145\/3277139.3277144-5","doi-asserted-by":"crossref","unstructured":"Chae, B., et al. 2014. The impact of supply chain analytics on operational performance: a resource-based view.Int. J. Production Research.52, 16, 4695--4710.","DOI":"10.1080\/00207543.2013.861616"},{"key":"key-10.1145\/3277139.3277144-6","unstructured":"Elisabeth, I. Z., et al. 2015. Advanced predictive-analysis-based decision support for collaborative logistics networks.Supply Chain Management: An International Journal, 20.4. 369--388."},{"key":"key-10.1145\/3277139.3277144-7","doi-asserted-by":"crossref","unstructured":"Richey, R. G., et al. 2016. A global exploration of Big Data in the supply chain.Int. J. Physical Distribution & Logistics Management.46, 8, 710--739.","DOI":"10.1108\/IJPDLM-05-2016-0134"},{"key":"key-10.1145\/3277139.3277144-8","doi-asserted-by":"crossref","unstructured":"Chae, B., Olson, D. L. 2013. Business analytics for supply chain: a dynamic capabilities framework.Int. J. Information Technology & Decision Making.12, 1, 9--26.","DOI":"10.1142\/S0219622013500016"},{"key":"key-10.1145\/3277139.3277144-9","doi-asserted-by":"crossref","unstructured":"Wang, G., et al. 2016. Big data analytics in logistics and supply chain management: Certain investigations for research and applications.Int. J. Production Economics.176, 98--110.","DOI":"10.1016\/j.ijpe.2016.03.014"},{"key":"key-10.1145\/3277139.3277144-10","doi-asserted-by":"crossref","unstructured":"Wang, G., et al. 2015. The effects of firm capabilities on external collaboration and performance: The moderating role of market turbulence.J. Business Research.68, 9, 1928--1936.","DOI":"10.1016\/j.jbusres.2015.01.002"},{"key":"key-10.1145\/3277139.3277144-11","doi-asserted-by":"crossref","unstructured":"Chen, D., et al. 2015. How the use of big data analytics affects value creation in supply chain management.J. Management Information Systems.32, 4, 4--39.","DOI":"10.1080\/07421222.2015.1138364"},{"key":"key-10.1145\/3277139.3277144-12","doi-asserted-by":"crossref","unstructured":"Kache, F., Seuring, S. 2017. Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management.Int. J. Operations & Production Management.37, 1, 10--36.","DOI":"10.1108\/IJOPM-02-2015-0078"},{"key":"key-10.1145\/3277139.3277144-13","doi-asserted-by":"crossref","unstructured":"Huang, K. F., et al. 2015. From Temporary Competitive Advantage to Sustainable Competitive Advantage.British Journal of Management.26, 4, 617--636.","DOI":"10.1111\/1467-8551.12104"},{"key":"key-10.1145\/3277139.3277144-14","doi-asserted-by":"crossref","unstructured":"Su, H. C., et al. 2014. A comparative case study of sustaining quality as a competitive advantage.J. Operations Management.32, 7--8, 429--445.","DOI":"10.1016\/j.jom.2014.09.003"},{"key":"key-10.1145\/3277139.3277144-15","doi-asserted-by":"crossref","unstructured":"Kwak, D. W., et al. 2018. Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains.Int. J. Operations & Production Management.38, 1, 2--21.","DOI":"10.1108\/IJOPM-06-2015-0390"},{"key":"key-10.1145\/3277139.3277144-16","doi-asserted-by":"crossref","unstructured":"Madsen, T., Walker, G. 2017. Competitive heterogeneity, cohorts, and persistent advantage.Strategic Management Journal.38, 2, 184--202.","DOI":"10.1002\/smj.2483"},{"key":"key-10.1145\/3277139.3277144-17","doi-asserted-by":"crossref","unstructured":"Su, H. C., et al. 2015. A competitive advantage from the implementation timing of ISO management standards.J. Operations Management.37, 7, 31--44.","DOI":"10.1016\/j.jom.2015.03.004"},{"key":"key-10.1145\/3277139.3277144-18","doi-asserted-by":"crossref","unstructured":"Pradabwong, J., et al. 2017. Business process management and supply chain collaboration: effects on performance and competitiveness.Supply Chain Management: An International Journal.22, 2, 107--121.","DOI":"10.1108\/SCM-01-2017-0008"},{"key":"key-10.1145\/3277139.3277144-19","doi-asserted-by":"crossref","unstructured":"Derwik, P., Hellström, D. 2017. Competence in supply chain management: A systematic review.Supply Chain Management: An International Journal.22, 2, 200--218.","DOI":"10.1108\/SCM-09-2016-0324"},{"key":"key-10.1145\/3277139.3277144-20","doi-asserted-by":"crossref","unstructured":"Jitpaiboon, T., et al. 2016. Evolution of competitive priorities towards performance improvement: a meta-analysis.Int. J. Production Research.54, 24, 7400--7420.","DOI":"10.1080\/00207543.2016.1190878"},{"key":"key-10.1145\/3277139.3277144-21","doi-asserted-by":"crossref","unstructured":"Mikalef, P., Pateli, A. 2017. Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA.J. Business Research.70, 1--16.","DOI":"10.1016\/j.jbusres.2016.09.004"},{"key":"key-10.1145\/3277139.3277144-22","doi-asserted-by":"crossref","unstructured":"Nan, N., Tanriverdi, H. 2017. Unifying the Role of IT Hyperturbulence and Competitive Advantage Via a Multilevel Perspective of IS Strategy.MIS Quarterly.41, 3, 937--958.","DOI":"10.25300\/MISQ\/2017\/41.3.12"},{"key":"key-10.1145\/3277139.3277144-23","doi-asserted-by":"crossref","unstructured":"Gunasekaran, A., et al. 2017. Information technology for competitive advantage within logistics and supply chains: A review.Transportation Research Part E.2017b, 99, 14--33.","DOI":"10.1016\/j.tre.2016.12.008"},{"key":"key-10.1145\/3277139.3277144-24","doi-asserted-by":"crossref","unstructured":"Zhu, S., et al. 2018. How supply chain analytics enables operational supply chain transparency: An organizational information processing theory perspective.Int. J. Physical Distribution & Logistics Management.published online.","DOI":"10.1108\/IJPDLM-11-2017-0341"},{"key":"key-10.1145\/3277139.3277144-25","doi-asserted-by":"crossref","unstructured":"Akter, S., et al. 2016. How to improve firm performance using big data analytics capability and business strategy alignment?Int. J. Production Economics.182, 113--131.","DOI":"10.1016\/j.ijpe.2016.08.018"},{"key":"key-10.1145\/3277139.3277144-26","doi-asserted-by":"crossref","unstructured":"Pavlou, P.A., Ei Sawy, O.A. 2011. Understanding the elusive black box of dynamic capabilities.Decision Science.42, 1, 239--273.","DOI":"10.1111\/j.1540-5915.2010.00287.x"}],"event":{"name":"the 2018 International Conference","start":{"date-parts":[[2018,8,25]]},"number":"2018","location":"Chengdu, China","end":{"date-parts":[[2018,8,27]]},"acronym":"IMMS '18"},"container-title":["Proceedings of the 2018 International Conference on Information Management & Management Science - IMMS '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3277139.3277144","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3277144&ftid=2012918&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:39:37Z","timestamp":1750210777000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3277139.3277144"}},"subtitle":["a theory framework"],"proceedings-subject":"Information Management & Management Science","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1145\/3277139.3277144","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}