Un, B; Erdiş, E; Aydınlı, S; Genç, O and Alboga, O (2025) Forecasting the outcomes of construction contract disputes using machine learning techniques. Engineering, Construction and Architectural Management, 32(10), pp. 6421-6444. ISSN 0969-9988
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | case analysis; construction contracts; construction disputes; dispute resolution; machine learning; multi-class classification; prediction model |
| Index terms: | construction contract, forecasting, prediction model, dispute, resolution, construction dispute, machine learning |
| Subjects: | conflict resolution, prediction and forecasting, contract type, dispute resolution, artificial intelligence |
| Topics: | Stakeholder Management, Research Practice, Digital Applications, Legal Issues, Procurement |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here