Collaboration Engineering

2014 ◽  
Vol 43 (5) ◽  
pp. 243-249
Author(s):  
Jan Marco Leimeister ◽  
Eva Alice Christiane Bittner
2017 ◽  
Vol 13 (3) ◽  
pp. 22-38
Author(s):  
Aleksandra Lazareva ◽  
Bjørn Erik Munkvold

This article explores the potential synergy between computer-supported collaborative learning (CSCL) and collaboration engineering (CE). Both areas pursue the goal of understanding how to manage interactions in collaborative groups to achieve shared understanding, reduce process losses, and improve performance. By analyzing the research in the two areas, the authors identify several topics where exchange of research findings would be of mutual benefit. For example, research on CE can inform collaboration script research on reducing learners' cognitive load, providing sufficient guidance on the use of tools, and specifying the instructor role during the collaborative learning process. Similarly, collaboration script research can provide useful insights to CE on the appropriation and internalization of effective support strategies. CE research could also learn from script research on training group participants into specific roles. Further challenges include designing scripts that balance restrictiveness and flexibility and refining the theoretical foundation of the two research areas.


Author(s):  
William Acar ◽  
Douglas A. Druckenmiller

For the purpose of aiding upper-level strategic or political decision making and some forms of conflict management, this chapter revisits the concept of dialectical inquiry (DI) from the perspective of collaborative framing or modeling for “collaboration engineering.” It does so by integrating the recent literature with its theoretical and philosophical sources. The connection of DI and the problem-framing paradigm is clarified. The chapter also establishes the general requirements or desired features of an up-to-date DI system and evaluates some current systems and their implications in light of these criteria.


Author(s):  
Johanna Bragge ◽  
Hannu Kivijärvi

Knowledge is today more than ever the most critical resource of organizations. However, at the same time it is also the least-accessible resource that is difficult to share, imitate, buy, sell, store, or evaluate. Organizations should thus have an explicit strategy for the management of their knowledge resources. In this research the authors pay special attention to a knowledge management (KM) strategy called collaboration-centered strategy. This strategy builds on the assumption that a significant part of personal knowledge can be captured and transferred, and new knowledge created through deep collaboration between the organization’s members. A critical element in the collaboration-centered KM strategy is the facilitation process that involves managing relationships between people, tasks and technology. The authors describe how the Collaboration Engineering approach with packaged facilitation techniques called ThinkLets is able to contribute to this endeavour.


Author(s):  
Alanah Davis ◽  
Gert-Jan de Vreede ◽  
Leah R. Pietron

This chapter presents a repeatable collaboration process as an approach for developing a comprehensive Incident Response Plan for an organization or team. Despite the process of incident response planning being an essential ingredient in security planning procedures in organizations, extensive literature reviews have not yielded any collaborative processes for such a crucial activity. As such, this chapter will discuss the background of incident response planning as well as Collaboration Engineering, which is an approach to design repeatable collaborative work practices. We then present a collaboration process for incident response planning that was designed using Collaboration Engineering principles, followed by a discussion of the application process in three cases. The presented process is applicable across organizations in various sectors and domains, and consist of codified “best facilitation practices” that can be easily transferred to and adopted by security managers. The chapter describes the process in detail and highlights research results obtained during initial applications of the process.


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