Digital Collaborators for Complex Systems Development: A Research Agenda

Author(s):  
Sanith Wijesinghe ◽  
Andreas Tolk ◽  
Holly Handley ◽  
Philip Barry ◽  
Steven Doskey
Author(s):  
Tuure Tuunanen ◽  
Michael David Myers

We suggest that a new type of information system appears to be increasing in importance, that of consumer information systems. Compared with traditional information systems development approaches, where the focus is on improving the efficiency and effectiveness of organizational processes, design for consumer information systems focuses more on the enjoyment, pleasure and purchases of the consumer. We argue that the shift in focus from users to consumers in consumer information systems calls for a significant re-appraisal of our current information systems development methods. Hence, this chapter proposes a new research agenda for IS researchers focusing on the development of consumer information systems. The expected contributions include new insights into effective management processes for service design, a better understanding of issues of integration of information systems development practices used to develop consumer information systems, and the development of methods for requirements discovery for service innovation.


Author(s):  
Márcio Silva Alves Branco ◽  
Geilson Loureiro ◽  
Luís Gonzaga Trabasso

2015 ◽  
Vol 46 (6) ◽  
pp. 111-125 ◽  
Author(s):  
Moses T. Adoko ◽  
Thomas A. Mazzuchi ◽  
Shahram Sarkani

2006 ◽  
Vol 16 (1) ◽  
pp. 621-635
Author(s):  
Herbert Negele ◽  
Reinhard Schmidt ◽  
Stephan Finkel ◽  
Stefan Wenzel

2019 ◽  
Author(s):  
Donald Robinaugh ◽  
Jonas M B Haslbeck ◽  
Lourens Waldorp ◽  
Jolanda Jacqueline Kossakowski ◽  
Eiko I Fried ◽  
...  

The network theory of psychopathology posits that mental disorders are complex systems of mutually reinforcing symptoms. This overarching framework has proven highly generative but does not specify precisely how any specific mental disorder operates as such a system. We address this gap in the literature by developing a network theory of Panic Disorder and formalizing that theory as a computational model. We first review prior psychological theory and research on Panic Disorder in order to identify its core components as well as the plausible causal relations among those components. We then construct and evaluate a computational model of Panic Disorder as a non-linear dynamical system. We show that this model can explain a great deal, including individual differences in the propensity to experience panic attacks, key phenomenological characteristics of those attacks, the onset of Panic Disorder, and the efficacy of cognitive behavioral therapy. We also show that the model identifies significant gaps in our understanding of Panic Disorder and propose a theory-driven research agenda for Panic Disorder that follows from our evaluation of the model. We conclude by discussing the implications of the model for how we understand and investigate mental disorders as complex systems.


Author(s):  
Isabelle Perseil ◽  
Laurent Pautet ◽  
Jean-François Rolland ◽  
Mamoun Filali ◽  
Didier Delanote ◽  
...  

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