Case study of open-source enterprise resource planning implementation in a small business-Reference-Cited by-同舟云学术

Case study of open-source enterprise resource planning implementation in a small business

Published:2012-02 Issue:1 Volume:6 Page:79-94
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Olson David L.,Staley Jesse

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

http://www.tandfonline.com/doi/pdf/10.1080/17517575.2011.566697

Reference26 articles.

1. Babcock, C. 2009. “Open source will pay dividends in the cloud [online]”. Available from:http:Informationweek.com[Accessed 30 March 2009]

2. Baharum, Z., Ngadiman, M. S. and Haron, H. Critical factors to ensure the successful of OS-ERP implementation based on technical requirement point of view. Proceedings of 2009 International conference on modelling & simulation, Manchester, England. pp.419–424. Los Alamitos, CA: IEEE Computer Society.

3. Conry-Murray, A. 2009. “Can enterprise social networking pay off? [online]”. 23–29. Available from:http:Informationweek.com[Accessed 23 March 2009]

4. Using open source data in developing competitive and marketing intelligence

Cited by 44 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. Optimizing the client-consultant relationship to maximize ERP project benefits for Moroccan SMEs;Data and Metadata;2024-09-02

2. Assessing Industry 4.0 implementation maturity in manufacturing MSMEs – a graph theory and matrix-based approach;The TQM Journal;2024-08-09

3. The Current Status of Open Source ERP Systems: A GitHub Analysis;Lecture Notes in Computer Science;2024

4. Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case;International Journal of Information Management Data Insights;2023-04

5. An analysis of enterprise resource planning systems and key determinants using the Delphi method and an analytic hierarchy process;Data Science in Finance and Economics;2023