Dynamically forecasting the restructuring performance of tourism firms with a similar-scenarios-based modelling framework
The role of investors’ ex-ante attention
Bibliographic Data
| ID | 21699288 |
|---|---|
| Authors | Ling-Yang He (0000-0002-1381-6987, Nankai University), Hui Li (0000-0001-9355-1116, Nankai University, corresponding author) |
| Year | 2025 |
| Volume | 28 |
| Issue | 5 |
| Pages | 730-750 |
| Publication date | 2025-03-04 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Current Issues in Tourism (JOURNAL) |
| Journal identifiers | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2024.2309146 |
| OpenAlex | W4391238734 |
| Language | EN |
| References cited | 37 |
The tourism firm is vulnerable to suffering losses after restructuring owing to its sensitivity and vulnerability. This work investigates the foresight effect of investors’ ex-ante attention to a tourism firm on its future performance to help identify proper restructuring timing. The analysis uses a similar-scenarios-based modelling framework with dynamic concept masks (SSBMF-DCM), which integrates multiple mainstream forecasting models and can dynamically identify foresight factors according to changes in restructuring scenarios. The results show that: (1) Investors’ ex-ante attention has a foresight effect on the medium-term performance after tourism firms’ restructurings; (2) the foresight effect of two different forms of ex-ante attention displays channel heterogeneity; (3) SSBMF-DCM performs better than all benchmarks in forecasting tourism firms’ restructuring performance; (4) consideration of two industry particularities (small restructuring sample volumes available for tourism firms and the concept drift in tourism firms’ restructuring scenarios) improves the accuracy of restructuring decisions
Business · Economics · Ex-ante · Financial economics · Industrial organization · Macroeconomics · Restructuring · Tourism · Firm Innovation and Growth · Innovation Diffusion and Forecasting · Sports Analytics and Performance · Finance
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| Citation velocity | historical |
|---|---|
| Highly cited | No |