Analytical foundations for development of real-time supply chain capabilities

被引:83
作者
Valadares de Oliveira, Marcos Paulo [1 ]
Handfield, Robert [2 ]
机构
[1] Univ Fed Espirito Santo, Dept Business Adm, Vitoria, Brazil
[2] North Carolina State Univ, Poole Coll Management, Raleigh, NC 27695 USA
关键词
real-time control; supply chain coordination; analytics; BIG DATA; BUSINESS ANALYTICS; DATA QUALITY; INFORMATION; INTEGRATION; MANAGEMENT; PERFORMANCE; SYSTEMS; VISIBILITY; KNOWLEDGE;
D O I
10.1080/00207543.2018.1493240
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The emergence of real-time supply chain visibility technologies has raised challenges for organisations in developing the required management capabilities required to exploit enhanced visibility. The convergence of cloud computing, mobile technology, distributed computing, and data integration technologies has enabled managers for the first time to have real-time visibility of material flows in end to end supply chains, enhancing their ability to identify bottlenecks and disruptions of material flows anywhere in their network. To effectively harness these technologies, a new set of managerial decision-making capabilities as well as enhanced data governance disciplines will be required. In this research, we employ organisational information processing theory to explore the relationship of analytical capabilities, data quality, reporting quality, and real-time data capabilities on supply chain performance. Our research model suggests that the benefits of real-time information technologies are dependent on quality reporting and managerial analytical strengths to derive supply chain benefits. The implications for managerial applications and research are further described based on these findings.
引用
收藏
页码:1571 / 1589
页数:19
相关论文
共 96 条
[41]  
Davenport T. H., 2007, Competing on analytics: The new science of winning
[42]   Data to knowledge to results: Building an analytic capability [J].
Davenport, TH ;
Harris, JG ;
De Long, DW ;
Jacobson, AL .
CALIFORNIA MANAGEMENT REVIEW, 2001, 43 (02) :117-+
[43]  
Davenport TH, 2012, MIT SLOAN MANAGE REV, V54, P43
[44]   Data, information and analytics as services [J].
Delen, Dursun ;
Demirkan, Haluk .
DECISION SUPPORT SYSTEMS, 2013, 55 (01) :359-363
[45]   Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud [J].
Demirkan, Haluk ;
Delen, Dursun .
DECISION SUPPORT SYSTEMS, 2013, 55 (01) :412-421
[46]  
Eisenhardt KM, 2000, STRATEGIC MANAGE J, V21, P1105, DOI 10.1002/1097-0266(200010/11)21:10/11<1105::AID-SMJ133>3.0.CO
[47]  
2-E
[48]   Business analytics: getting behind the numbers [J].
Emblemsvag, Jan .
INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT, 2005, 54 (01) :47-+
[49]   Hybrid approach for the integrated scheduling of production and transport processes along supply chains [J].
Frazzon, Enzo Morosini ;
Albrecht, Andre ;
Pires, Matheus ;
Israel, Eduardo ;
Kueck, Mirko ;
Freitag, Michael .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (05) :2019-2035
[50]   Arcs of integration: an international study of supply chain strategies [J].
Frohlich, MT ;
Westbrook, R .
JOURNAL OF OPERATIONS MANAGEMENT, 2001, 19 (02) :185-200