Search results

Knowledge workers live and work in a technology-enabled, push-notification world full of interruptions that create information overload, often requiring these workers to utilize task switching as a mechanism to meet multiple competing tasks' demands. Previous research has examined both the positive and, more often, negative effects from interruptions and task switching on knowledge workers' performance. However, this paper aims to examine knowledge workers' agentic approach to managing interruption signals and consequent task switching to remain dedicated to the task at hand.

Using an inductive grounded theory approach, we analyzed data from semi-structured interviews with knowledge workers regarding their experiences with task management strategies in interruption-heavy environments.

The results indicate the emergence of a new construct that we define as “task adherence.” We identified behavioral and technological mechanisms that knowledge workers employ to adhere to tasks, and we also categorized a host of environmental, personal and task-related factors that influence a knowledge worker's task adherence level.

This study offers a novel conceptualization of key determinants of knowledge workers' task management. Through insights into how knowledge workers purposefully prepare for and address potential interruption signals, as well as manage task switching from subsequent interruptions, managers may be able to design new work processes to improve task performance.

In a world of interruptions, task adherence adds to and clarifies a missing element in the time and task management dilemma that can enhance future efforts in designing strategies that enable knowledge workers to be more productive.

The London Interbank Offered Rate (LIBOR) is considered to be the most important interest rate in finance upon which trillions in financial contracts are decided. In 2008, it was revealed that the LIBOR traders were rigging the interest rates. Yet, there is an unresolved question that regulators and banking officials did not address in their quest to seek answers to the fraud: Were the banks under financial strain when they underreported their LIBOR rates? To answer this question, the article posits that the pressure to meet market expectations led the banks to experience financial strain. Data were gathered from 2004 to 2008 on the banks that were involved in the fraud (fraud banks) and matched with a control group of non-fraud banks. The results from a logistic regression model found sufficient statistical evidence to support the claim that fraud will be greater in banks characterized by a higher level of organizational complexity. Variables such as percent of outside directors, board members on the audit committee, and number of employees were all found to be statistically significant. These variables may offer key insights into detecting and preventing frauds in banks.

Using bibliometric techniques, the author analyzes a dataset of 276 articles on cross-border mergers and acquisitions (CBMAs) published in 13 management and international business journals. The author assesses the scientific impact and visualizes the intellectual landscape of research on CBMAs by analyzing publication and citation data and interconnections between publications. First, the author assesses annual publication trends and identifies highly cited articles and productive journals in the dataset that have significantly contributed to our understanding of CBMAs. Second, the author identifies main themes in recent research on CBMAs by focusing on frequently used keywords in publications. Third, the author identifies clusters of related research and explores their interrelationships to outline emerging trends, new perspectives, and directions for future research on CBMAs. Overall, this chapter contributes to the understanding of CBMAs by documenting the progress made to date and providing important insights for future research.

The purpose of this study is twofold. First, the author posits and finds a significant positive relation between environmental performance (i.e., environmental efficiency) and firm performance (i.e., firm efficiency) by using a large panel sample from 1987 to 2015. The results are consistent with the notion in prior research (e.g., Porter, 1991; Porter & van der Linde, 1995) that pollution indicates a form of resource inefficiency and reducing pollution can increase firm performance. Second, managerial ability has recently received tremendous research attention. The author investigates the impact of managerial ability on the relation between environmental efficiency and firm efficiency and finds that the results are mainly driven by firms with low managerial ability.

This paper aims to explore the effectiveness of an artificial neural network (ANN) in predicting fraudulent financial reporting in small market capitalization companies in Malaysia.

Based on the concepts of ANN, a mathematical model was developed to compare non-fraud and fraud companies selected from among small market capitalization companies in Malaysia; the fraud companies had already been charged by the Securities Commission for falsification of financial statements. Ten financial ratios are used as fraud risk indicators to predict fraudulent financial reporting using ANN.

The findings indicate that the proposed ANN methodology outperforms other statistical techniques widely used for predicting fraudulent financial reporting.

The study is one of few to adopt the ANN approach for the prediction of financial reporting fraud.

Although much attention has been devoted to the study of accounting students’ performance, little attention has been shown to the process of accounting students’ performance. Attention to process necessitates that the subject of accounting students’ test-taking behavior be explored. This study invites attention to the amount of time students take to return their examinations. Time spent on this critical task can be understood as a measure of student ambition to do well, student preparation or cognitive engagement. Using data collected from many classes taught by several instructors at one selective private institution, the results suggest that there is a non-linear relationship between the order in which exams are returned and exam performance. Specifically, those who work on their exams for longer tend to score lower. However, those that return their exams relatively quickly do not necessarily score better. The middle range, wherein students complete their exams neither early nor late relative to others, is associated with better test performance. The relationship between exam return order and test performance also varies by the type of exam and by the matriculation level. The study offers to add to our understanding of accounting students, an achievement that may be an underappreciated prerequisite to effective instructional outcomes.

The purpose of this paper is to investigate the compliance of Saudi shareholding companies with the requirements of corporate governance issued by the Board of Capital Market Authority in the Kingdom and their impact on earnings management.

A questionnaire was used to collect data about the compliance of the Saudi shareholding companies with corporate governance requirements and discretionary accruals (DAs) were calculated from the financial statements of these companies using the modified Jones model, then multiple regression was used to test the relationship between the variables.

The results of the study revealed that there was no statistically significant linear dependence of the mean of DAs on corporate governance. Additionally, no statistically significant effect for internal audit, audit committee and board of directors on earnings management was detected. However, the results revealed that there was a slight negative effect for internal audit scope of work and independence and audit committee independence on DAs.

This research paper is applied on Saudi Arabia, a Middle East country with specific characteristics, that is, a specific context, and, therefore, the results must be interpreted within this context

Regulators of Saudi corporations may need to reassess the effectiveness of corporate governance requirements issued by the Capital Market Authority and the actual implementation of these requirements. Researchers also may need further investigation of this phenomenon within its context.

The results of the study are very important to the Saudi society because they put a big question mark on the relevance of corporate governance of the Saudi shareholding companies

The paper provides new evidence about the effect of corporate governance mechanisms on earnings management in a Middle East environment, which may suggest that there is a need to expand this study using other methodologies to delve into the depths and understand this phenomenon within its context.

In management accounting research, the capabilities of Partial Least Squares Structural Equation Modelling (PLS-SEM) have only partially been utilized. These yet unexploited capabilities of PLS-SEM are a useful tool in the often explorative state of research in management accounting. After reviewing eleven top-ranked management accounting journals through the end of 2013, 37 articles in which PLS-SEM is used are identified. These articles are analysed based on multiple relevant criteria to determine the progress in this research area, including the reasons for using PLS-SEM, the characteristics of the data and the models, and model evaluation and reporting. A special focus is placed on the degree of importance of these analysed criteria for the future development of management accounting research. To ensure continued theoretical development in management accounting, this article also offers recommendations to avoid common pitfalls and provides guidance for the advanced use of PLS-SEM in management accounting research.

The financial world of today is evolving at a rate that can be challenging to keep up with and comprehend due to developments in information and communication technology. When compared to a conventional disclosure, the eXtensible Business Reporting Language (XBRL), which was named one of the top ten accounting technologies, has a clear advantage in reducing information asymmetry by providing interactive data disclosure. This study aims to examine whether forcing companies to adopt XBRL would cause them to prefer misclassifying income statement items as an alternative to more risky earnings management methods.

The study sample includes nonfinancial UAE companies listed on Dubai Financial Market and Abu Dhabi Securities Exchange from 2012 to 2019. Fixed effect and system General Method of Moments regressions were used to analyze the study data.

The study found that XBRL reporting resulted in lowering the quality of financial reporting as companies have a higher tendency to misclassify income statement items as earnings management mechanism.

The findings of this research can be used by stakeholders and practitioners in the UAE to better understand whether the use of XBRL is linked to the engagement of financial reporting manipulative practices. The findings of this study also inform policymakers and regulators about the consequences of companies formally adopting digital disclosure language in an effort to improve the quality of their reporting. Besides, the results offer guidance to regulators considering imposing XBRL usage regulations.

Limited number of studies have tested the association between XBRL mandatory adoption and misclassification of income statement items as an earnings management tool in the Gulf Cooperation Council region.