ORCID Profile
0000-0003-0536-0745
Current Organisation
University of Tasmania
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Publisher: American Accounting Association
Date: 2005
Abstract: Knowledge-based systems (KBS) have long been advocated as a method for promoting consistency in judgment across professional service organizations such as accountancy firms. Recent movements toward unification of standards for accounting, auditing and insolvency have increased the pressure on these firms to further enhance judgment consistency across firm locations throughout the world. Yet, little is known about the usefulness and/or impact of KBS in promoting judgment consistency in multicultural firm environments. This paper reports the results of a study that examines the use of a KBS in a cross-cultural experimental environment. Participants included 239 insolvency professionals from Australia and Singapore representing two erse cultures—i.e., Anglo-American and Chinese, respectively. The results of the study provide some evidence in support of both the perceived differences in focus on positive versus negative information and on the influence of a KBS in reducing these differences. However, the KBS did not significantly close the differences in judgment between the two sets of insolvency professionals.
Publisher: ACM
Date: 07-07-2022
Publisher: ACM
Date: 15-06-2020
Publisher: Wiley
Date: 06-1999
DOI: 10.1002/(SICI)1099-1174(199906)8:2<75::AID-ISAF164>3.0.CO;2-T
Publisher: ACM
Date: 03-02-2020
Publisher: ACM
Date: 21-02-2018
Publisher: ACM
Date: 30-01-2023
Publisher: Springer International Publishing
Date: 2021
Publisher: ACM
Date: 14-02-2022
Publisher: IEEE
Date: 12-2017
Publisher: American Accounting Association
Date: 2005
Abstract: Knowledge-based systems (KBS) have long been advocated as a method for promoting consistency in judgment across professional service organizations such as accountancy firms. Recent movements toward unification of standards for accounting, auditing and insolvency have increased the pressure on these firms to further enhance judgment consistency across firm locations throughout the world. Yet, little is known about the usefulness and/or impact of KBS in promoting judgment consistency in multicultural firm environments. This paper reports the results of a study that examines the use of a KBS in a cross-cultural experimental environment. Participants included 239 insolvency professionals from Australia and Singapore representing two erse cultures—i.e., Anglo-American and Chinese, respectively. The results of the study provide some evidence in support of both the perceived differences in focus on positive versus negative information and on the influence of a KBS in reducing these differences. However, the KBS did not significantly close the differences in judgment between the two sets of insolvency professionals.
Publisher: MDPI AG
Date: 03-11-2022
Abstract: Student persistence and retention in STEM disciplines is an important yet complex and multi-dimensional issue confronting universities. Considering the rapid evolution of online pedagogy and virtual learning environments, we must rethink the factors that impact students’ decisions to stay or leave the current course. Learning analytics has demonstrated positive outcomes in higher education contexts and shows promise in enhancing academic success and retention. However, the retention factors in learning analytics practice for STEM education have not been fully reviewed and revealed. The purpose of this systematic review is to contribute to this research gap by reviewing the empirical evidence on factors affecting student persistence and retention in STEM disciplines in higher education and how these factors are measured and quantified in learning analytics practice. By analysing 59 key publications, seven factors and associated features contributing to STEM retention using learning analytics were comprehensively categorised and discussed. This study will guide future research to critically evaluate the influence of each factor and evaluate relationships among factors and the feature selection process to enrich STEM retention studies using learning analytics.
Publisher: IEEE
Date: 12-2017
Publisher: ACM
Date: 30-01-2018
No related grants have been discovered for Nicole Herbert.