Why PLS-SEM is suitable for complex modelling? An empirical illustration in big data analytics quality-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

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

Published:2017-07-11 Issue:11-12 Volume:28 Page:1011-1021
ISSN:0953-7287
Container-title:Production Planning & Control
language:en
Short-container-title:Production Planning & Control

Author:

Akter Shahriar¹,Fosso Wamba Samuel²,Dewan Saifullah³

Affiliation:

1. Sydney Business School, University of Wollongong, Australia

2. Toulouse Business School, Toulouse University, Toulouse, France

3. Faculty of Business, Government and Law, School of Information Systems & Accounting, University of Canberra, Canberra, Australia

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/09537287.2016.1267411

Reference106 articles.

1. Enterprise systems and performance of future city logistics

2. Service quality of mHealth platforms: development and validation of a hierarchical model using PLS

3. Big data analytics in E-commerce: a systematic review and agenda for future research

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

Cited by 255 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. Impact of ITS Applications on Green Logistics and Customer Service Performance;International Conference on Information Systems Development;2024-09-09

2. A TOE-DCV approach to green supply chain adoption for sustainable operations in the semiconductor industry;International Journal of Production Economics;2024-09

3. Effectuation, Causation and Bricolage; Entrepreneurial Orientation in the Face of Crisis, a Perspective from Developing Countries;Entrepreneurship Research Journal;2024-08-23

4. Understanding Diverse E-commerce Behavior in Emerging Markets;Tehnicki vjesnik - Technical Gazette;2024-08-15

5. Modelling supply chain Visibility, digital Technologies, environmental dynamism and healthcare supply chain Resilience: An organisation information processing theory perspective;Transportation Research Part E: Logistics and Transportation Review;2024-08

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