Why 'Business Model' Can Mean Something Else to Your Students
A qualitative South African study maps how financial-instrument terms pack in hidden meaning, and where students lose the thread.
Early signal Single study, n = 8 educators, 7 students · 15 min prep to map one topic · 2nd year

About this evidence
- Evidence label
- Early signal
- Source type
- Single study · n = 8 educators, 7 students
- Design
- Qualitative · focus groups and interviews · one South African university · one financial instruments unit
- What we read
- Full text
- Works for
- Any size (tutorials for discussion)
- Time to try
- 15 min prep to map one topic
- Level
- 2nd year
You say "business model" in a financial instruments lecture and the room nods. Then the tutorial answers arrive, and some students clearly thought you meant what the company sells.
The accounting meaning is narrower. In IFRS 9, the financial instruments standard, a business model "refers to how an entity manages its financial assets in order to generate cash flows" (para. B4.1.2A). With the asset's cash flow terms, it normally decides how the asset is measured (para. 4.1.1).
Mariam Bardien and Ilse Lubbe, of the University of Cape Town, found the everyday-meaning trap in a qualitative study, which works from interviews rather than numbers. Their lens is semantic density, which is how much meaning a term packs in.
A dense term only makes sense with enough prior knowledge. The authors applied the idea to threshold concepts, the "conceptual gateways" that are troublesome to learn but, once grasped, change how a student sees the discipline.
Try this first: since students may take a dense term literally, ask them what they think it means before you define it. Then teach the gap between that and the accounting meaning. That's our suggestion, not something the study tested.
What they found
In focus groups, eight educators identified five threshold concepts in financial instruments. They were the meaning of a "financial instrument", the entity's "business model", the time value of money, recognition and measurement, and identifying the type of instrument.
The authors then coded each concept, which means they classified it, by density. Recognition and measurement came out densest, because it links to all four other concepts and draws on finance and economics. Any missing link, they argue, may hold back more advanced learning.
Business model, time value of money and instrument type sat one level down, each linking to some of the concepts and to finance and economics.
The meaning of a financial instrument was least dense, because it rests mainly on prior knowledge of assets, liabilities and equity. Even so, the authors stress that a lower rating doesn't mean a concept is straightforward.
In the interviews, one student said, "I thought 'business model' means they are a service provider." The authors read this as taking the term literally, in its everyday sense.
Life experience mattered too. One student who had funded their studies with a student loan felt at home with loan contracts and interest rates. Another said, "No one in my family speaks about these things the way I do."
From these findings, the authors suggest treating links between concepts as checkpoints and prerequisites, with assets, liabilities and equity secured first. They also suggest smaller tutorial groups, financial news and asking students which concepts troubled them.
What they did
The study focused on the financial instruments unit of a compulsory second-year Financial Accounting course at one South African university.
Of 716 students invited, 56 volunteered, and seven who had attended two voluntary tutorials were interviewed. All seven had year marks above 50%.
A translation device, a tool from Legitimation Code Theory that turns abstract theory into features you can spot in data, guided the coding. The student interviews added detail but weren't used for the coding.
The reality check: this is a small qualitative study of one unit at one university, at a single point in time. The authors note that seven students' views may not apply to the whole cohort.
It tested no teaching approach and measured no learning, so its classroom ideas are recommendations. The paper never mentions provisions, either, so the provision example in Our take is ours.
Try this in class next week
- Map the chain: for one topic, list the earlier concepts each new term depends on, and check them first.
- Ask the troublesome question: end a tutorial by asking which concept was hardest, and plan the next one around the answers.
- Bring in the news: use a real share or debenture issue from the financial press to anchor the terms.
These are our suggestions, several drawn from the authors' recommendations; none was tested in the study.
These suggestions are ours, not the authors'.
After you try it, ask yourself…
- Which term did students most often read in its everyday sense rather than its accounting sense?
- Which earlier concept did you have to revisit before the new topic made sense?
- What did students name as their most troublesome concept, and did it surprise you?
Source card
Bardien, M., & Lubbe, I. (2026). Knowledge in accounting: Using semantic density to explore complexity in threshold concepts and terminology. Accounting Education, 35(3), 399–424. Read the paper (doi.org) · What we read: full text (open access version of record; published online 26 March 2025).
Standards cited: IFRS 9 Financial Instruments (paras 4.1.1, B4.1.2A, B5.5.35 and Appendix A) and IAS 37 Provisions, Contingent Liabilities and Contingent Assets (paras 7 and 10), as adopted in Commission Regulation (EU) 2023/1803, Official Journal of the European Union, L 237, 26 September 2023. The regulation is printed as "of 13 August 2023"; a corrigendum (OJ L 239, 28 September 2023, p. 39) corrected the date to 13 September 2023. Read the regulation (eur-lex.europa.eu) · Read the corrigendum (eur-lex.europa.eu) · What we read: full official text (EU-endorsed) and the corrigendum.
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