LLM Driven Approach for Capability Modelling with Context-enriched Prompt Engineering

Business/IT alignment in information systems is widely discussed among researchers and industry practitioners alike. IT departments often struggle to deliver business value, often due to the lack of a coherent representation of the business operating model that can be referred to in building business applications. Whilst business capability maps offer a promising solution for the above concern, it is a tedious exercise to develop them manually. We explore the possibility of leveraging Large Language Models (LLMs) in generating industry specific capability maps, using innovative prompting that effectively incorporates concept definitions into LLM prompts. Our preliminary evaluation results indicate the capacity of the proposed LLM driven approach and the prompt engineering process in producing an effective prompting technique that improves LLM output quality. The proposed method for automated capability modelling is an original contribution to the business architecture discipline and contributes to the steadily growing literature on LLM prompt engineering.

Publication Details

Journal
Journal of the Association for Information Systems
Published
2024-12-10
Primary Topic
Medical History and Research
Type
article
Field-Weighted Citation Impact
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article

LLM Driven Approach for Capability Modelling with Context-enriched Prompt Engineering

Journal of the Association for Information Systems
Medical History and Research
article

LLM Driven Approach for Capability Modelling with Context-enriched Prompt Engineering

article en

Abstract

Business/IT alignment in information systems is widely discussed among researchers and industry practitioners alike. IT departments often struggle to deliver business value, often due to the lack of a coherent representation of the business operating model that can be referred to in building business applications. Whilst business capability maps offer a promising solution for the above concern, it is a tedious exercise to develop them manually. We explore the possibility of leveraging Large Language Models (LLMs) in generating industry specific capability maps, using innovative prompting that effectively incorporates concept definitions into LLM prompts. Our preliminary evaluation results indicate the capacity of the proposed LLM driven approach and the prompt engineering process in producing an effective prompting technique that improves LLM output quality. The proposed method for automated capability modelling is an original contribution to the business architecture discipline and contributes to the steadily growing literature on LLM prompt engineering.

Journal of the Association for Information Systems
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Medical History and Research
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