Is anonymity dead?

Journal article

Some business leaders of manufacturing enterprises lack strategies to mitigate supply chain disruptions to prevent financial loss. Business leaders need strategies to mitigate such disruptions to return their organizations to normal operational status. Grounded in stakeholder theory, the purpose of this qualitative multiple-case study was to identify and explore successful strategies business leaders of manufacturing enterprises in southern Ghana use to mitigate supply chain disruptions. The participants were six business leaders who had experienced and successfully mitigated supply chain disruptions over the past 5 years. The data sources were semistructured interviews, direct observation, and organizational records. Reflexive thematic analysis yielded three themes: (a) engage employees, develop customer interest, and manage suppliers’ strategy; (b) encourage interfirm and institutional collaboration strategy; and (c) address adverse behavior among stakeholders’ strategy. A key recommendation for business leaders is to collaborate with interested groups, embrace stakeholders’ adverse behavior, and create a healthy relationship with all stakeholders to mitigate supply chain disruption and avoid financial loss successfully. The implications for positive social change include the potential to help business leaders create a conducive and collaborative work environment to enhance employees\u27 mental health, transform stakeholder behavior, and improve people\u27s lives in the communities where the organizations operate

Authors: Spilda, FU; Howson, K; Johnston, H; Bertolini, A; Feuerstein, P

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Pluto Journals
• Journal: Work Organisation Labour & Globalisation
• Volume: 16
• Issue: 1
• Pages: 72-87
• Publication date: 2022-01-01
• DOI: 10.13169/workorgalaboglob.16.1.0072
• ISSN: 1745-641X
• Language: English
• Keywords: Business; Anonymity; Computer science; Marketing; Transparency (behavior); Respondent; Intermediary; Political science; Internet privacy; Knowledge management; Process (computing); Set (abstract data type); Computer security