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Measuring the complexity of students’ cognitive maps of corporate social responsibility
conference contribution
posted on 2023-06-10, 00:16 authored by Lutz Preuss, Isabel Fischer, John Da Silva LuizJohn Da Silva LuizDecision-makers in industry, government and NGOs have to deal with a multitude of tensions and uncertainties; not least, this applies in the context of corporate social responsibility (CSR) and sustainability. Interdisciplinary thinking is recognised as an essential prerequisite for tackling such complex problems. Many business schools therefore pride themselves to be encouraging students’ interdisciplinary thinking. Using an undergraduate business degree capstone module, taught at a research-active university in South-East England, we analyse the interdisciplinary thinking of business students by measuring the structure of cognitive maps through with which these students synthesised their knowledge of CSR. We find a range of demographic differences, for example female students outperforming male students in the complexity of their maps. We also find a ‘lecturer effect’ associated with the amount of real-world experience of lecturers. Overall, however, our results point to a lack of students’ interdisciplinary thinking. Drawing on sensemaking literature, we examine how we can deepen students’ understanding of the complexities associated with CSR; not least, unpacking the importance of moving beyond scanning for information, towards interpreting and developing meaning, and finally responding on that basis.
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Publication status
- Published
File Version
- Accepted version
Journal
Academy of Management ProceedingsISSN
0065-0668Publisher
Academy of ManagementExternal DOI
Issue
1Volume
2021Event name
81st Annual Meeting of the Academy of ManagementEvent location
VirtualEvent type
conferenceEvent date
29 July - 4 August 2021Department affiliated with
- Strategy and Marketing Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2021-07-01First Compliant Deposit (FCD) Date
2021-07-13Usage metrics
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