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Institution

Mahidol University International College

About: Mahidol University International College is a based out in . It is known for research contribution in the topics: Tourism & Corporate governance. The organization has 240 authors who have published 485 publications receiving 6095 citations.


Papers
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Journal ArticleDOI
TL;DR: This article investigated whether board independence substitutes for external audit quality and found that firms with stronger board independence enjoy more effective governance and therefore do not need as much external auditing quality as those with less effective governance.
Abstract: Exploiting the passage of the Sarbanes-Oxley Act (SOX) as an exogenous regulatory shock, we investigate whether board independence substitutes for external audit quality. Based on over 14,000 observation across 18 years, our difference-in-difference estimates show that firms forced to raise board independence are far less likely to employ a Big4 auditor. In particular, board independence lowers the propensity to use a Big4 auditor by about 38%. Firms with stronger board independence enjoy more effective governance and therefore do not need as much external audit quality as those with less effective governance do. Based on a natural experiment, our empirical strategy is far less vulnerable to endogeneity and is thus much more likely to show a causal effect, rather than merely an association.

9 citations

Journal ArticleDOI
TL;DR: The results of this study show that duplex RT-PCR is an easy, rapid, sensitive, and reproducible method, which is particularly valuable when numerous samples must be analyzed, and may usefully serve as an alternate tool for diagnosing TE in severely immunocompromised patients.

9 citations

Journal ArticleDOI
TL;DR: This work presents the first shared‐memory parallel data structure for union‐find (equivalently, IGC) that is both provably work‐efficient (ie, performs no more work than the best sequential counterpart) and has polylogarithmic parallel depth.
Abstract: The incremental graph connectivity (IGC) problem is to maintain a data structure that can quickly answer whether two given vertices in a graph are connected, while allowing more edges to be added to the graph. IGC is a fundamental problem and can be solved efficiently in the sequential setting using a solution to the classical union‐find problem. However, sequential solutions are not sufficient to handle modern‐day large, rapidly‐changing graphs where edge updates arrive at a very high rate. We present the first shared‐memory parallel data structure for union‐find (equivalently, IGC) that is both provably work‐efficient (ie, performs no more work than the best sequential counterpart) and has polylogarithmic parallel depth. We also present a simpler algorithm with slightly worse theoretical properties, but which is easier to implement and has good practical performance. Our experiments on large graph streams with various degree distributions show that it has good practical performance, capable of processing hundreds of millions of edges per second using a 20‐core machine.

9 citations

Journal ArticleDOI
TL;DR: In this article, the authors explore and categorise how universities in the USA and Thailand use Facebook as a platform to engage their audiences, and suggest that HEIs have to be both proactive and strategic on social media.

9 citations

Journal ArticleDOI
15 Nov 2018
TL;DR: In this paper, the authors examined the relationship between spectators' perception of event quality and their behavior during major spectator sports events in Thailand and found that the perceived quality of the event quality was correlated with their behavior.
Abstract: This study enhances the understanding of service quality at major spectator sports events in Thailand by examining the relationship between spectators’ perception of event quality and their behavio...

9 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222
202161
202055
201952
201840
201753