TY - CHAP
T1 - The interdependence of data analytics and operations management
AU - Dutta, Kaushik
AU - Ghoshal, Abhijeet
AU - Kumar, Subodha
N1 - Funding Information:
This project was initiated by M.A.S. and R.G.R. in 1995. The Gnuraren Progress Association and the Bibbulmun Mia allowed C.E.D., J.D., M.A.S., and R.G.R. to undertake the fieldwork for this study in 1995. A. Baynes and the W.A. Museum provided samples for ESR dating. The original fieldwork was supported by the ANU Faculty Research Fund, ABA-BC 14C dates were supported by an AINSE grant to R.G.R., and ABOX-SC 14C dates were supported by a grant from the Institute of Aboriginal and Torres Strait Islander Studies to M.I.B. and L.K.F. The Australian Research Council provided fellowships to C.S.M.T., M.I.B., and R.G.R. H. Yoshida assisted with the optical dating, J. Olley provided the high-resolution gamma-spectrometry analyses, Q. Hua and U. Zoppi assisted with the ABA-BC 14C dating, and R. Jones provided advice on the identification of artifacts. J. Allen read an earlier draft of this manuscript, and R. Gillespie, S. Forman, and an anonymous reviewer provided helpful comments.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The chapter explores the applications of the Data analytics and operations management (OM) techniques in various domains. It describes the existing research on the use of big data and analytics on the topic, which is then followed by future research directions according to the interests of OM researchers. The chapter broadly outlines how these techniques have been applied in the contexts of retail, mobile, energy, advertising, smart city, and healthcare. It presents several relatively new issues that need fresh attention given the availability of big data and new tools for data analytics. The chapter describes that organizations and managers should be encouraged to apply OM-based decision tools in solving data driven problems that could help them make better decisions. Researchers to investigate cutting-edge problems and issues relevant to future managers should be encouraged.
AB - The chapter explores the applications of the Data analytics and operations management (OM) techniques in various domains. It describes the existing research on the use of big data and analytics on the topic, which is then followed by future research directions according to the interests of OM researchers. The chapter broadly outlines how these techniques have been applied in the contexts of retail, mobile, energy, advertising, smart city, and healthcare. It presents several relatively new issues that need fresh attention given the availability of big data and new tools for data analytics. The chapter describes that organizations and managers should be encouraged to apply OM-based decision tools in solving data driven problems that could help them make better decisions. Researchers to investigate cutting-edge problems and issues relevant to future managers should be encouraged.
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U2 - 10.4324/9781315687803
DO - 10.4324/9781315687803
M3 - Chapter
AN - SCOPUS:85025698385
SN - 9781138919594
SP - 291
EP - 308
BT - The Routledge Companion to Production and Operations Management
PB - Taylor and Francis
ER -