Resilience beyond formal structures: A network perspective towards the challenges of an aging workforce in the oil and gas industry

Artikel

Changes in workplace demographics in the oil and gas industry have raised a concern about the risks of a knowledge-loss crisis due to mass retirement. The industry response has often consisted of strategies aimed at mapping knowledge across organizational units, codifying knowledge in databases, and mentoring new staff. However, such common managerial responses show important limitations in terms of grasping tacit and network-based dimensions of knowledge in complex oil production operations. Therefore, there is an industrial need for innovative knowledge management practices. In this conceptual article, we look at the knowledge-loss crisis from the perspective of network resilience in complex systems. A central assumption here is that it is important to look at retiring staff not only in terms of their explicit knowledge, but also in relation to their roles in evolving networks of interactions. Why do some social systems adapt to the departure of some individuals, recover from eventual knowledge-loss crises, and keep performing its functions? From an anticipatory logic, network analysis may show the initial conditions of a system and identify possible loss scenarios. From an adaptive logic, network analysis may inform interventions aimed at facilitating processes of interactions from which new knowledge may emerge and spread. Integrated operations may be a step in this direction.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Journal: Journal of Open Innovation: Technology, Market, and Complexity ; ISSN: 2199-8531 ; Volume: 5 ; Year: 2019 ; Issue: 1 ; Pages: 1-10 ; Basel: MDPI

Classification and Topics

• Classification: Management
• Subject: oil and gas industry ; resilience ; aging workforce ; network analysis ; complex adaptive systems

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Bento, Fabio ; Garotti, Luciano
• Event: Veröffentlichung
• (who): MDPI
• (where): Basel
• (when): 2019

Further information

• DOI: doi:10.3390/joitmc5010015
• Handle: http://hdl.handle.net/10419/241306
• Last update: 10.03.2025, 11:43 AM CET