Machines as Teammates: A Collaboration Research Agenda
| Autor: | Alexander B. Merz, Isabella Seeber, Triparna de Vreede, Matthias Söllner, Sarah Oeste-Reiß, Gerhard Schwabe, Nils L. Randrup, Robert O. Briggs, Ronald Maier, Eva A. C. Bittner, Gert-Jan de Vreede, Douglas A. Druckenmiller |
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| Jazyk: | němčina |
| Rok vydání: | 2018 |
| Předmět: |
Information management
Knowledge management business.industry 05 social sciences Frame (networking) Process design information management 02 engineering and technology Smart technology economics Business studies Test (assessment) business studies 020204 information systems Political science 0502 economics and business 0202 electrical engineering electronic engineering information engineering Robot Artificial Intelligence Collaboration Collaboration Engineering Reference Model Research Agenda 050211 marketing other research area business Reference model |
| Zdroj: | HICSS Scopus-Elsevier |
| Popis: | Humans will soon need to adapt to a collaborative setting in which technology becomes a smart collaboration partner that works with a group to achieve its goals. It is therefore time for collaboration researchers to explore the vast opportunities afforded by smart technology and to test its utility for enhancing team processes and outcomes. In this paper, we take a long view on the implications of smart technology for collaboration process design, and propose a research agenda for the next decade of collaboration research. We create a reference model to frame the research agenda. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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