Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience

Published:2019-02-27 Issue:1 Volume:59 Page:110-128
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Dubey Rameshwar¹^ORCID,Gunasekaran Angappa²,Childe Stephen J.³^ORCID,Fosso Wamba Samuel⁴,Roubaud David¹,Foropon Cyril¹

Affiliation:

1. Montpellier Business School, Montpellier Research in Management, Montpellier, France

2. School of Business and Public Administration, California State University, Bakersfield, CA, USA

3. Plymouth Business School, Plymouth University, Plymouth, UK

4. Toulouse Business School, Toulouse, France

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2019.1582820

Reference139 articles.

1. Big data, knowledge co-creation and decision making in fashion industry

2. Supply chain resilience: a dynamic and multidimensional approach

3. Editorial—Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research

4. Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality

5. How to improve firm performance using big data analytics capability and business strategy alignment?

Cited by 518 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. How does data-driven supply chain analytics capability enhance supply chain agility in the digital era?;International Journal of Production Economics;2024-11

2. Fostering Information Sharing Willingness: An Organizational Privacy Calculus for Industry 4.0 Supply Chains;Journal of Organizational Computing and Electronic Commerce;2024-09-12

3. Evaluation Methodology for Circular and Resilient Information Systems;Applied Sciences;2024-09-09

4. Can the Reform of the Commercial System Enhance the Resilience of Enterprises? Evidence Based on Quasi Natural Experiments;Sustainability;2024-09-02

5. Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework;Transportation Research Part E: Logistics and Transportation Review;2024-09

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3