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Enacting learning from incidents in the workplace through knowledge boundaries crossing

  • Full or part time
  • Application Deadline
    Tuesday, May 28, 2019
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Learning from incidents (LFI) is a process through which employees and the organisation seek to understand any negative safety events that have taken place in order to prevent similar future events. Negative safety events would include both actual incidents with damages to human wellbeing, organisational resources or the environment or near miss events where larger impact incidents have been closely avoided. There have been series of studies on the complex nature of enacting LFI in practice in organisations, yet further work is still required to address this multi-faceted phenomenon (Lukic et al., 2010; Margaryan et al., 2017). One of the key issues with approaches to LFI is that they are often happening within the setting of complex sectoral, disciplinary and departmental structures and boundaries each coming with their own knowledge, values, language and understandings. Such knowledge boundaries (interdisciplinary, interprofessional, intersectoral and interdepartmental) in the workplace safety could cause challenges to understanding and enacting LFI processes in order to improve safety and increase safety knowledge opus of an organisation. On the other hand, if such diversity of knowledge is utilised and managed in a proper manner it could potentially lead to more innovative and holistic solutions to LFI and ensuring it is owned and enacted throughout the whole organisation.

The aim of this PhD project is to explore and test empirically the impact of knowledge boundary crossing on successful learning from incidents in the workplace.

Brief description of supervisor esteem

The supervisory team is composed of experts in the field of organisational learning and management processes.

Dr Dane Lukic has been involved in several LFI projects funded by the Energy Institute and other energy sector companies and has contributed to development of LFI practical tools used thought the energy sector as well as conduct research in knowledge boundary crossing in the workplace.

Dr Zhi Wang is an expert in leadership and entrepreneurship and has supervised a number of successful PhD students.

Specific requirements of the project:

Since LFI is a multifaceted problem and this is an interdisciplinary project applicant with relevant background in learning sciences, organisational learning, organisational sciences, safety engineering, knowledge management and safety management are invited to apply. Interdisciplinary backgrounds and degree/experience related to aspects of LFI are welcome as well as applicants with in background in interdisciplinarity studies. Previous work or educational background in learning from incidents and safety is desirable.

Candidates are requested to submit a more detailed proposal (of a maximum of 2000 words) on the project area as part of the application. In particular, more challenges may arise from the structures of the local/regional insurance and capital market to accommodate in the detail proposal.

How to apply:

Project Reference Number: GCUL-2019-004 Lukic


Applicants will normally hold a UK honours degree 2:1 (or equivalent); or a Masters degree in a subject relevant to the research project. Equivalent professional qualifications and any appropriate research experience may be considered. A minimum English language level of IELTS score of 6.5 (or equivalent) with no element below 6.0 is required. Some research disciplines may require higher levels.

Candidates are encouraged to contact the research supervisors for the project before applying. Applicants should complete the online GCU Research Application Form, stating the Project Title and Reference Number (listed above).

Please attach copies of academic qualifications (including IELTS if required), 2 references and any other relevant documentation to the online application.

Please send any enquiries regarding your application to:

Applicants shortlisted for the PhD project will be contacted for an interview.

For more information on how to apply and the online application form please go to:

Funding Notes

This project is self-funded. A variety of scholarship packages including funded studentships (tuition fees and stipend) and fees only scholarships are available to UK/EU and international candidates. The studentships are not guaranteed and candidates interested will be competing against others in the funding opportunity.

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