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Title: Characteristic of enterprise collaboration system and its implementation issues in business management

Authors: Shiv Prakash; Sudhanshu Joshi; Tanvi Bhatia; Sadhna Sharma; Durgesh Samadhiya; Rajiv Ratn Shah; Omprakash Kaiwartya; Mukesh Prasad

Addresses: Indian Institute of Technology, Delhi, India ' School of Management and School of Technology, Doon University, Uttarakhand, India ' Centre for Energy Policy, FEIT, University of Technology Sydney, Australia ' Department of Information Management, National Chiao Tung University, Hsinchu, Taiwan ' Department of Electrical Engineering, National Chiao Tung University, Hsinchu, Taiwan ' Department of Computer Science, National University of Singapore, Singapore ' Department of Computer and Information Sciences, Northumbria University, Newcastle upon Tyne, NE2, 1XE, UK ' School of Software, FEIT, University of Technology Sydney, Australia

Abstract: Collaboration is an extremely useful area for the most of the enterprise systems particularly within Web 2.0 and Enterprise 2.0. The collaboration provides help in enterprise collaboration system (ECS) to achieve the desired goal by unifying completed tasks of employees or people working on a similar or the same task. Thus, the collaboration systems have witnessed significant attention. The ECS provides consistent and off-the-shelf support to processes and managements within organisations. Management techniques of the ECS may be useful to a community which manages ECS systems for collaboration. In this context, this paper focuses on enterprise collaboration system and answers critical questions related to ECS including: 1) what does collaboration really means for an enterprise system; 2) how can the collaboration help to improve internal processes and management of the system; 3) how it is helpful to improve interactions with customers and partners?

Keywords: enterprise collaboration system; ECS; Web 2.0; Enterprise 2.0; management techniques; enterprise system.

DOI: 10.1504/IJBIDM.2020.103853

International Journal of Business Intelligence and Data Mining, 2020 Vol.16 No.1, pp.49 - 65

Received: 17 May 2017
Accepted: 12 Jun 2017

Published online: 12 Nov 2019 *

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