Staff

  • Amer Mohammad Jaser Qasem, Ph.D

Amer Mohammad Jaser Qasem, Ph.D

Professor

Abu Dhabi Campus

Education

  • Ph.D. Accounting, University of Aberdeen, UK
  • Master in Accounting, Yarmouk University, Jordan
  • Bachelor of Accounting, Yarmouk University, Jordan

Research Interests

Data analytics in accounting, Internet Financial Reporting, Accounting for Goodwill, Investor relations, Stock Market efficiency, Corporate Governance.

Selected Publications

Teaching Courses

Principles of Financial Accounting (U), Intermediate accounting (U), Financial Management (U,G), Advanced Accounting (U, G).Managerial Accounting (U, G)

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all.

This person’s work contributes towards the following SDG(s):

 

Blockchain technology, business data analytics, and artificial intelligence: use in the accounting profession and ideas for inclusion into the accounting curriculum

Published in: Journal of Emerging Technologies in Accounting

May 01, 2020

Amer Qasim Faten Kharbat

ABSTRACT Recently, accounting academics have reported increased attention in the accounting profession toward the employment of various technologies. These studies only highlight the exploitation of these technologies in the profession and areas for future research, while missing the need for modernizing the accounting curriculum to meet the industry's technological needs. This paper follows an integrated model for curriculum redesign to reflect blockchain technology, business data analytics, and artificial intelligence employment in the accounting profession. By building on the main four educational curricula designs components, we propose ways to incorporate these technologies into the accounting curriculum. Current industry implementation of new technologies should be considered by academia when designing accounting curriculum to prepare graduates for the market and to ensure their employability. This paper calls for radical changes in the accounting curriculum to reach a balance between existing accounting knowledge and information technology skills relevant to the profession.


Examining the relationship between audit committee effectiveness and audit fees: An empirical investigation on companies listed in the UAE financial markets

Published in: Electronic Journal of Applied Statistical Analysis

Jun 04, 2019

This study seeks to understand the relationship between audit committee effectiveness and audit fees. Prior literature suggests two perspectives to explain this relationship; the first is demand based whereas a positive rela- tionship is expected, while the second is audit risk which propose a negative relationship between the two variables. In order to test the relationship be- tween the two variables, data were collected from 64 companies listed in Abu Dhabi Securities Exchange and Dubai Financial Market. Univariate and multivariate analyses were conducted to test the hypotheses of the study. Results showed that audit committee effectiveness has a significant positive impact on audit fees. This result supports the demand based perspective to explain the relationship between audit committee effectiveness and audit fees. Also, a significant positive relationship is reported for number of meet- ing of audit committees and audit committee members financial expertise with audit fees


Audit committee effectiveness: Reflections from the UAE

Published in: International Journal of Economics and Business Research

Aug 02, 2018

Abstract View references (37) This study focuses on an essential mechanism of corporate governance, the audit committee. The main objective of this research is to understand the perceptions and attitudes toward audit committees in the UAE context and to extend our understanding of what really determines the effectiveness of audit committees. To reach the objective of this research, a questionnaire is designed to target four groups of respondents: members of audit committees, external auditors, university academics, and governmental regulators. The questionnaires are used to examine the respondents' perceptions as for the importance given by them to a number of factors that are believed to increase the effectiveness of audit committees. In this regard, four factors are examined in the questionnaires: independence of audit committees' members, number of meetings, financial expertise, and size of the committee. Results showed that the most important character of audit committee effectiveness is the independence of audit committee members.


The use of data mining techniques in accounting and finance as a corporate strategic tool: An empirical investigation on banks operating in emerging economies

Published in: International Journal of Economics and Business Research

Jul 05, 2018

Globalisation and recent financial crises have increased the pressures faced by banks operating in emerging economies to maintain their competitive advantages and to insure sustainability. Recent technological advancement paved the way for the use of big data to assist companies in the decision making process. One of the methods exploited by management to make advantage of the huge amount of available information is data mining. This study aims at examining the employment of data mining techniques in the banking sector in an interesting research setting, namely: Jordan. The main objective of this study is to explore the perceptions regarding the use of data mining techniques as a strategic management tool in the banking sector from accounting and finance perspective. Toward this end, a questionnaire is designed and distributed to a sample of 76 banking employees in Jordan who are directly involved in the banking decision support systems units. Results showed that the use of data mining techniques is positively significant in data exchange with internal environment as well as with the external environment of the bank. In addition, results reported the significance impact of data mining techniques in supporting management decision making process in the areas of accounting and finance.


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