Organizational responses to uncertainty in the airline industry: Changes in patterns of communication networks
| Autor: | Niclas Erhardt, Jody Hoffer Gittell, Saul A. Rubinstein, Carlos Martin-Rios, Varghese P. George |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Knowledge management business.industry Management science Strategy and Management Reliability (computer networking) 05 social sciences 050209 industrial relations Face (sociological concept) Transportation Organizational network analysis Management Monitoring Policy and Law Telecommunications network Communication theory 0502 economics and business Organizational communication business Resilience (network) Law Social network analysis 050203 business & management |
| Zdroj: | Journal of Air Transport Management. 57:217-227 |
| ISSN: | 0969-6997 |
| DOI: | 10.1016/j.jairtraman.2016.07.021 |
| Popis: | Changing environmental conditions introduce uncertainty into organizational operations, and airlines respond in various ways. Scholars traditionally explore responses to environmental uncertainty by drawing upon theories of communication networks, coordination, organizational resilience, and high reliability organizing. Yet, the research has competing communication predictions, which makes planning and designing organizational responses challenging, as the level and type of uncertainty changes over time. Research also does not address variations in responses across different groups of employees. Using longitudinal network data from the United Airlines operations tower in Newark Airport (USA), this research examines communication for the purpose of relational coordination in a dynamically adaptive organizational network. Results reveal different patterns of organizational communication as different employee groups (frontline, cross-functional boundary spanners, and managers) face varying conditions of uncertainty. This paper concludes with theoretical contributions and practical recommendations for managing complex communication networks to respond to dynamic conditions of uncertainty in the airline operations settings. |
| Databáze: | OpenAIRE |
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