Abror Abror

This study investigates the influence of digital transformation capability and strategic learning capability on strategic agility as well as competitive and innovative performance of Thai hotels. The sample consisted of 303 4–5-star hotels, selected through simple random sampling from a total population of 2,079 hotels nationwide. Data were collected through questionnaires and analyzed using structural equation modeling. The results revealed that digital transformation capability significantly influences strategic agility (β = 0.249, t = 5.182). Strategic learning capability, which encompasses strategic knowledge generation (β = 0.309, t = 5.759), strategic knowledge interpretation (β = 0.118, t = 2.325), strategic knowledge implementation (β = 0.266, t = 5.561), and strategic knowledge database (β = 0.106, t = 3.395), also has a positive impact on strategic agility. Furthermore, strategic agility positively affects competitive and innovative performance (β = 0.313, t = 4.984). It also serves as a mediator in the relationships between digital transformation capability (β = 0.078, t = 3.834), strategic knowledge generation (β = 0.097, t = 3.671), strategic knowledge interpretation (β = 0.037, t = 2.015), strategic knowledge implementation (β = 0.083, t = 3.704), and strategic knowledge database (β = 0.033, t = 2.651) on competitive and innovative performance. The findings offer hotel operators valuable insights into the importance of developing digital transformation capabilities and strategic learning capabilities to enhance strategic agility, which in turn leads to improved competitive and innovative performance, particularly within a volatile and uncertain business environment.

Acknowledgments
The authors declared that this study complied with ethical guidelines by the Institutional Review Board of the Human Research Ethics Committee of Walailak University (WUEC-23-264-01), Thailand. Dr. Kanokwan Meesook is also a co-first author of this article.

Type of the article: Research Article

Abstract
Regional transfers are a key instrument of regional fiscal policy that promote balanced development and reduce disparities across districts, yet the behavioral responses of local governments to these inflows remain insufficiently understood. This study examines how regional transfer fund allocations influence government expenditure, unemployment, infrastructure development, and regional revenue in West Sumatra using quarterly data for 2014–2024. A Bayesian Vector Autoregressive framework is employed to address small-sample limitations and to capture the dynamic responses to transfer shocks. The results show that increases in regional transfers have limited, short-lived effects on unemployment, while capital expenditure on basic infrastructure declines, indicating potential crowding-out of certain government spending categories. At the same time, regional revenue responds positively, suggesting that transfers can support local fiscal capacity in the short term. These findings highlight that, although regional transfers can facilitate immediate fiscal stabilization, they may hinder long-term infrastructure investment unless accompanied by performance-based fiscal mechanisms. Improving transfer design and accountability is therefore essential to ensure that fiscal resources promote sustainable development outcomes.

Acknowledgments
This research is a grant from the Ministry of Higher Education, Science, and Technology of the Republic of Indonesia under the Impactful Leading Consortium Research Scheme (RIKUB Scheme) in accordance with research contract number 008/C3/DT.05.00/RIKUB/2025.