A method of demand-driven and data-centric Web service configuration for flexible business process implementation-Reference-Cited by-同舟云学术

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A method of demand-driven and data-centric Web service configuration for flexible business process implementation

Published:2016-03-03 Issue:7 Volume:11 Page:988-1004
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Xu Boyi¹,Xu Li Da²,Fei Xiang³,Jiang Lihong⁴,Cai Hongming⁴,Wang Shuai⁴

Affiliation:

1. College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China

2. Department of Information Technology & Decision Sciences, Strome College of Business, Old Dominion University, Norfolk, VA, USA

3. Faculty of Engineering and Computing, Coventry University, Coventry, UK

4. School of Software, Shanghai Jiao Tong University, Shanghai, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2016.1150522

Reference21 articles.

1. The self-description data configuration model

2. Efficient adaptive QoS-based service selection

3. From On-Premise Software to Cloud Services: The Impact of Cloud Computing on Enterprise Software Vendors´ Business Models

4. Key challenges for enabling agile BPM with social software

5. The temporal perspective in business process modeling: a survey and research challenges

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1. Digital twins-based flexible operating of open architecture production line for individualized manufacturing;Advanced Engineering Informatics;2022-08

2. A Coding-Free Software Framework for Developing Lightweight Web Data Management Systems;Applied Sciences;2020-01-27

3. Restriction‐based fragmentation of business processes over the cloud;Concurrency and Computation: Practice and Experience;2019-07-09

4. Correction;Enterprise Information Systems;2019-01-13

5. A context-based service matching approach towards functional reliability for industrial systems;Enterprise Information Systems;2018-08-13

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