How Research in Production and Operations Management May Evolve in the Era of Big Data-Reference-Cited by-同舟云学术

How Research in Production and Operations Management May Evolve in the Era of Big Data

Published:2018-01-26 Issue:9 Volume:27 Page:1670-1684
ISSN:1059-1478
Container-title:Production and Operations Management
language:en
Short-container-title:Prod Oper Manag

Author:

Feng Qi¹,Shanthikumar J. George¹

Affiliation:

1. Krannert School of Management; Purdue University; Rawls 4024, 100 S. Grant Street West Lafayette Indiana 47907 USA

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/poms.12836/fullpdf

Reference63 articles.

1. Amato-Mccoy , D. M. 2017 Study: Online shoppers want a personalized experience https://www.chainstoreage.com/real-estate/german-discount-grocery-chain-heads-east/

2. Market segmentation in container shipping services: A qualitative study;Balci;Manage. Res. Rev.,2010

3. Ban , G.-Y. C. Rudin 2017 The big data newsvendor: Practial insights from machine learning

4. Driving consumer acceptance of mobile marketing: A theoretical framework and empirical study;Bauer;J. Electron. Commer. Res.,2005

5. Seeking the ideal form: Product design and consumer response;Bloch;J. Market.,1995

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