Thomas Calvard
University of Edinburgh
52 Papers
38 Citations
Thomas Calvard is an academic researcher from University of Edinburgh. The author has contributed to research in topics: Sensemaking & Big data. The author has an hindex of 8, co-authored 48 publications.
Chat about Author
Papers
Cognition, Technology, and Organizational Limits: Lessons from the Air France 447 Disaster
TL;DR: It is argued that the same measures that make a system safe and predictable may introduce restrictions on cognition, which over time, inhibit or erode the disturbance-handling capability of the actors involved.
Big data, organizational learning, and sensemaking: Theorizing interpretive challenges under conditions of dynamic complexity:
TL;DR: Four key challenges to be addressed if organizations are to engage the phenomenon of big data effectively and reflexively are highlighted: responding to the dynamic complexity ofbig data in terms of “simplexity,” analyzing big data using interdisciplinary processes, responsible reflection on ideologies of learning and knowledge production when handling big data, and mutually aligning sensemaking with big data topics to map domains of application.
Leadership as an emergent group process: A social network study of personality and leadership:
TL;DR: A longitudinal study was conducted on the social network of a leaderless group to explore how Big Five personality traits affect leadership emergence, in the form of receiver ties (being nominated as a leader), sender ties (nominating others as leaders), and similarity effects.
Developing human resource data risk management in the age of big data
Thomas Calvard,Debora Jeske +1 more
TL;DR: The complexities of big data for employers are explored, drawing on a risk management on Human Resources (HR) perspective and normal accident theory to illustrate the evolving characteristics of these complexities.
61