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A Method for Developing and Applying Metrics Profiles for the Benefits Management of Enterprise Collaboration Platforms
- Source :
- Procedia Computer Science. 181:553-561
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- In recent years, Enterprise Collaboration Systems (ECS) have increasingly been introduced as core components of the digital workplace. Organizations have a range of different goals that they want to achieve when they implement a new collaboration software. In our paper, we argue that traditional controlling indicators with a focus on delivery dates and costs are not suitable to measure the return on investment and the benefit that a user company can achieve from the digital support of work. Conventional indicators provide limited value because they cannot be used to directly attribute the contribution of a digital collaboration project to the achievement of corporate goals. The research described in this paper is part of a long-term university-industry research initiative and the findings contribute to a broader understanding of the metric-based analysis of benefits from ECS use in organizations. We present a method for developing and applying “metrics profiles” to ECS, which makes it possible to analyze the realization of benefits over time. The method was tested and evaluated using non-reactive ECS data from an operational collaboration platform that has been in operation for more than seven years.
- Subjects :
- Benefits management
Focus (computing)
Measure (data warehouse)
Collaborative software
Process management
Computer science
business.industry
020206 networking & telecommunications
02 engineering and technology
Work (electrical)
Return on investment
0202 electrical engineering, electronic engineering, information engineering
General Earth and Planetary Sciences
020201 artificial intelligence & image processing
Metric (unit)
business
General Environmental Science
Subjects
Details
- ISSN :
- 18770509
- Volume :
- 181
- Database :
- OpenAIRE
- Journal :
- Procedia Computer Science
- Accession number :
- edsair.doi...........bf54c2db5ed25c02a8eac90162194275