Article

Identifying critical success factors for sustainable growth of Indian banking sector using interpretive structural modeling (ISM

Published in: International Journal of Social Economics

Aug 03, 2018

Shamshad Sarim Akhter Tabash

Purpose The purpose of this paper is to identify the critical success factors for sustainable growth of the Indian banking sector and develop a model for Indian banks by using interpretive structural modelling (ISM). It suggests some of the critical measures of sustainability for Indian banks. Design/methodology/approach This paper aims to establish a relationship among the factors of sustainable banking through the opinion of experts from the banking sector. ISM approach is applied to bring do...


Article

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,...


Article

Managing academic institutions by enhancing student experience

Published in: Int. J. Economics and Business Research

Jul 30, 2018

Abstract: Student experience or, in a more sensible terminology, ‘customer satisfaction’ is a current issue in higher education leadership. This paper discusses how academic leaders can deal with and develop positive experiences among students as providers of a key source of revenue. The paper proposes some strategic recommendations to guide the management process of enhancing student experience and satisfaction. Adopting an effective strategic planning philosophy and implementing competitive s...


Labor & Finance

Influence of board and ownership structure on earnings management: Evidence from Palestine

Published in: The 8th Annual International Conference on Accounting and Finance Conference (AF 2018)

Jul 24, 2018

/ Rafiq Hijazi

The purpose of this study is to explore the impact of the code of corporate governance in Palestine issued in November 2009 on constraining earning management practices measured by discretionary accrual among non-bank firms listed on the Palestine Exchange (PEX). We used a panel data of from 36 non-bank firms listed on the PEX during the period between 2012 and 2016. Logistic regression analysis was performed to identify the influence of a set of board of directors’ characteristics and ownershi...


Labor & Finance Full-text Available

Statistics Capacity Building and Alignment of Learning Outcomes with Business Sector Needs in The GCC Countries

Published in: Proceedings of the Tenth International Conference on Teaching Statistics (ICOTS10, July, 2018), Kyoto, Japan

Jul 15, 2018

/ Rafiq Hijazi

In quest of a common market, the Gulf Cooperation Council (GCC) countries are in need to monitor economic convergence and monetary policies. This requires a common methodology for collecting, processing, and disseminating data. National statistical agencies staffed mainly by statistics graduates of local colleges play an overarching role in this process. Hence, educators of statistics share responsibilities for provision of training, capacity building, and creation of national experience in st...


Article

Productivity growth of the Australian real estate investment trusts

Published in: Electronic Journal of Applied Statistical Analysis

Jul 12, 2018

/ Ammar Jreisat

This study aims to evaluate the productivity change of the Australian Real Estate Investment Trust (REITs) by using a Balance panel data set which cover 10 AREITs operating in the Australian market from 2004 to 2011. The study use a non-parametric approach Data Envelopment Analysis based analysis to investigate the productivity change. Input-oriented Malmquist indices of productivity change are estimated to measure total factor productivity (TFP) change. The TFP changes are decomposed into the ...


Article

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 techniq...


Article

Evaluating the usefulness of e-learning management system delivery in higher education

Published in: Int. J. Economics and Business Research

Jun 25, 2018

Learning management systems (LMSs), such as Moodle, has been used by many academic institutions to improve teaching and student learning experience. This paper examines the use of LMS as a course delivery system and an electronic assessment (e-assessment) tool for improving the learning process. This study analyses educators’ perspective on the use of Moodle based on effectiveness, helpfulness, user-friendly interface design, and flexibility in delivering online courses. Quantitative and ...


Sustainable Finance

Predicting energy Consumption using artificial neural networks: a case study of the UAE

Published in: Electronic Journal of Applied Statistical Analysis

May 30, 2018

Shorouq F Eletter Ghaleb A El Refae Abdelhafid K Belarbic

Predicting energy consumption is very important for improving resource planning and for more efficient production. This study uses artificial neural network (ANN) models to predict energy consumption in the United Arab Emirates (UAE). The multilayer perceptron model (MLP) and Radial Basis Function (RBF) were used for this purpose. Historical input and output data related to the long-term energy consumption in the UAE were used for training, validation, and testing. The developed neural network ...

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