Paper Info
Title
Designing Process Architectures for User Engagement with Enterprise Cognitive Systems.
Abstract
Cognitive capabilities can enhance a business process by offering automated analytics-based recommendations on key decisions by applying machine learning techniques. Yet the organizational adoption of such advanced capabilities is difficult as user acceptance of advice and recommendations from an automated system requires the development of trust over time. Business processes and the processes responsible for user engagement with enterprise cognitive systems need not only to be designed, but also have to change together with the supporting processes that can emerge and evolve over a period of time to monitor, evaluate, adjust, or modify the cognitively-enhanced business processes to enable employees to adapt to the enhanced capabilities of cognitive systems. In this paper, we propose a systematic modeling approach to study and guide the design and configuration of process architectures that help enterprises implement and evolve systems with cognitive capabilities. The use of suitable enterprise modeling techniques can facilitate the exploration and analysis of obstacles to adoption and guide the systematic search for viable modes of interaction and cooperation between a human user and a cognitive system.
Year
Venue
Field
2017
PoEM
Business process management,Systems engineering,Business process,Computer science,Enterprise systems engineering,Knowledge management,Enterprise modelling,Analytics,Enterprise life cycle,Business architecture,Cognitive computing,Process management
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
16
5
Name
Order
Citations
PageRank
Alexei Lapouchnian157531.57
Zia Babar272.25
Eric S. K. Yu31480200.75
Allen Chan4364.60
Sebastian Carbajales500.68