Beyond brainstorming: The effectiveness of computer-mediated communication for convergence and negotiation tasks

Although a considerable body of research in information systems has established that computer-mediated communication (CMC) is beneficial for brainstorming (idea generation) tasks, less is known about its effectiveness for more complex decision-making tasks. This paper reports the results of two experiments comparing the performance of face-to-face and CMC teams in decision-making tasks that move beyond brainstorming. In the first experiment, the performance of face-to-face and computer-mediated teams was compared in two tasks: one requiring participants to engage in convergent thinking and a second brainstorming task requiring divergent thinking. Consistent with predictions derived from McGrath's task circumplex model, the results of experiment one reveal that participants using computer-mediated communication perform significantly better than those interacting face-to-face on the divergent (brainstorming) task. On the convergent task, computer-mediated and face-to-face teams performed equally well; i.e., there was not a significant difference in their performance. In the second experiment, the performance of face-to-face and computer-mediated teams was again compared in two tasks: an integrative negotiation task and an idea-generation task. The results of the second experiment were similar to those of experiment one, in that computer-mediated teams significantly outperformed face-to-face teams in the idea-generation task, while computer-mediated and face-to-face teams performed equally well on the integrative negotiation task. These experiments contribute to the literature by shedding additional light on the conditions under which computer-mediated communication is as effective as, and in some cases more effective than, face-to-face interaction.     

头脑风暴法在舞弊审计中的运用研究:回顾与启示

头脑风暴法有助于解决舞弊审计这一类非结构化问题,在舞弊审计中运用头脑风暴法成为美国注册会计师审计中的一项必要程序,头脑风暴技术也成为审计理论界和实务界关注的一个重点问题。本文对相关研究文献进行了梳理和回顾,总结文献研究发现:舞弊审计适合使用开放式头脑风暴法、循环头脑风暴法和电子头脑风暴法;头脑风暴法不仅有助于审计人员识别更多的舞弊风险因素和提高识别因素的质量,而且能够使审计人员表现得更加谨慎,调高了客户舞弊风险的预期水平;此外,头脑风暴讨论会还能够使审计人员更愿意修改拟实施的实质性测试程序,采取更为有效的舞弊风险应对程序。这些实践经验和研究成果对我国审计实践和审计理论研究都具有重要的借鉴作用。     

Team discourse explains media richness and anonymity effects in audit fraud cue brainstorming

This article contributes by extending media richness (MRT) and media synchronicity theories (MST) to explore how media richness and anonymity influence team interactions and success in audit fraud brainstorming. Sixty-three, three-person teams, with 189 student participants from two Universities, identified fraud risk cues in a SAS 99 audit planning case. Participants were assigned to one of three conditions: electronic anonymity (EA; n = 18 teams), electronic identified (EI; n = 28 teams), or identified face-to-face (FtF; n = 17 teams). Compared with teams in the low media richness conditions, i.e., the EA and EI, discussions in FtF teams produced more and better dialog, which resulted in better identification of fraud risk cues. Additionally, compared with the discussions in the EA teams, FtF team discussions evidenced less narcissism and were more focused and inhibited. Mediation analyses of team interactions indicated that the quantity of dialog (team production) completely explains, fully mediates, the effects of media richness and anonymity on risk assessments. Contributions include extending MRT and MST, and using automated content analysis, to explicate the role of media richness, anonymity, and team interactions in explaining audit team fraud identification success. The concluding section identifies the sample, design, and method limitations, and, discusses the potential for group support technologies to enhance or detract from audit team processes, depending on task, context, and technology.     

基于GONE理论的上市公司财务报告舞弊识别研究

本文基于GONE理论,剖析了财务报告舞弊诱因的影响机理和舞弊行为的决策权衡机理,并选取2006～2009年因财务舞弊受处罚的上市公司为样本,实证分析了贪婪、机会、需要和暴露四因素与财务报告舞弊的关系,结果发现:在控制了一系列因素以后,管理层的风险偏好和剩余索取权引发的个体贪婪程度越高,治理结构不完善制造的舞弊机会越多,增发配股引发的组织需要程度越高,舞弊的可能性越大;审计意见类型和会计师事务所变更代表的发现机制越完善,暴露的可能性越大,舞弊的可能性越小。     

Detection of Management Fraud: A Neural Network Approach

The detection of management fraud is an important issue facing the auditing profession. A major contributor to this issue is the Loebbecke and Willingham (1988) conceptual model for the detection of management fraud. A cascaded Logit approach using the Loebbecke and Willingham model was developed in Bell et al. (1993). The present study offers an alternative approach using Artificial Neural Networks (ANNs). This paper develops a successful discriminator of management fraud using both the generalized adaptive neural network architectures (GANNA) and the Adaptive Logic Network (ALN) approaches to designing neural networks. The discriminant functions can distinguish between fraudulent and non-fraudulent companies with superior accuracy to the cascaded Logit results of Bell et al. (1993). Finally, the discriminant function provides a parsimonious set of questions useful for detecting management fraud.     

Fairness in performance evaluation and its behavioural consequences

A recent paper in Accounting and Business Research by Lau et al. (2008) offers systematic evidence to explain whether managers’ perceptions on fairness of performance evaluation procedures affect attitudes such as job satisfaction; and if it does, the different behavioural processes involved. Our paper re‐examines Lau et al.’s model and hypotheses to assess the external validity of their findings, based on a very different sample of managers. Drawing on recent organisational justice literature, it further develops the model and examines the potential interaction effects of fairness of performance evaluation procedures and other variables on job satisfaction. Finally, it extends the outcome variable to include manager performance. Using survey responses from 165 managers, supported by 24 interviews, drawn from three major organisations in the manufacturing and financial services sectors, we find that Lau et al.’s results on the indirect effects of fairness of performance evaluation procedures on job satisfaction are generalisable to other organisational settings and managerial levels. However, using their model we do not find support for the outcome‐based effects through distributive fairness. Developing a revised model we observe that the effects of distributive fairness on job satisfaction are indirect via organisational commitment. When the model is further developed to incorporate performance as the outcome variable, we observe similar findings.     

Toward resolving the debate surrounding slippery slope versus licensing behavior: The importance of individual differences in accounting ethical decision making

A great deal of attention, research and print space has been devoted to the role of the “slippery slope” in corporate malfeasance. Slippery slope refers to a pattern of behavior in which small unethical infractions lead to more egregious behaviors over time. In accounting, this escalation can relate to increasing dollar amounts or engaging in different behaviors reflecting increasing degrees of ethical grayness. Much of corporate malfeasance indeed relates accounting practices: theft fraud (Wells 2000, 2001a, 2001b, 2002) or fraudulent financial reporting (e.g., AIG, 2005; Bernie Madoff, 2008; Enron, 2001; Diamond Foods, 2012; HealthSouth, 2003; Lehman Brothers, 2008; Saytam, 2009; WorldCom, 2002). More recent research on compensatory ethics in psychology and business, however, has shown conflicting findings: that performing an initial unethical act can create an internal incentive to end or curtail subsequent unethical behavior; this behavior has also been referred to as a “licensing effect”, in which bad behavior is limited in how much individuals can license and still preserve their reputation or moral identity (Beaman et al., 1983; Brown, Rennekamp, Seybert, & Zhu, 2014; Freedman and Fraser, 1966; Gino and Bazerman, 2009; Joosetn et al., 2014; Murphy & Dacin, 2011; Zhong et al., 2010). It is our belief that both theories may be found to co-exist in accounting practice depending on individual characteristics. We conduct two studies to examine the role of individual differences in instances of malfeasance specifically related to accounting practices, heretofore largely ignored in the accounting literature. In Study One, we investigate the role of locus of control (Rotter, 1966) and negative affect (Crawford and Henry, 2004; Lowe and Reckers, 2012; Watson and Tellegen, 1985). In Study Two, we examine narcissism (Johnson et al., 2013; Little et al., 1992; Young et al., 2015) and moral disengagement (Bandura, 1999; Detert et al., 2008). Findings confirm hypotheses that both slippery slope and licensing patterns of behavior will manifest depending on individual differences among the participants.     

The Department of Justice as a gatekeeper in whistleblower-initiated corporate fraud enforcement: Drivers and consequences

We examine drivers and consequences of U.S. Department of Justice (DOJ) oversight of whistleblower cases of corporate fraud against the government. We find that the DOJ is more likely to intervene in and conduct longer investigations of cases that have a higher chance of victory and yield greater monetary proceeds, indicating that DOJ enforcement is influenced by its performance measures. DOJ intervention also affects the firm- and aggregate-level fraud environment. Firms subject to DOJ intervention improve their employee relations, internal controls, and board independence, and experience lower future whistleblowing risk. Whistleblowers avoid courts and agencies with low DOJ intervention rates. In contrast, we do not find that cases pursued by whistleblowers alone affect firms' or whistleblowers' behavior, suggesting that public enforcement through DOJ intervention has a greater deterrent effect on fraud than private enforcement by whistleblowers acting alone.     

The Dempster‐Shafer Theory: An Introduction and Fraud Risk Assessment Illustration

This article introduces the Dempster‐Shafer theory (DS theory) of belief functions for managing uncertainties, specifically in the auditing and information systems domains. The use of DS theory is illustrated by deriving a fraud risk assessment formula for a simplified version of a model developed by Srivastava et al. (2007). In this formulation, fraud risk is the normalised product of four risks: risk that management has incentives to commit fraud; risk that management has opportunities to commit fraud; risk that management has an attitude to rationalise committing fraud; and risk that an auditor's special procedures will fail to detect fraud. The article demonstrates how to use such a model to plan for a financial audit where management fraud risk is assessed to be high. In addition, it discusses whether audit planning is better served by an integrated audit/fraud risk assessment as now suggested in SAS 107 (AICPA 2006a, see also ASA 200 in AUASB 2007) or by the approach illustrated here where a parallel, but separate, assessment is made of audit risk and fraud risk.     

Electronic data interchange: an evaluation of alternative organizational forms

Electronic Data Interchange (EDI) has come to revolutionize in recent years the way in which businesses conduct their trading activities. This study examines alternative organizational forms for EDI processing within organizations and evaluates them on several task performance indices including independence, saturation, and satisfaction, and also relates them to EDI effectiveness as a function of information technology (IT) intensity and length of EDI use. Results from an extensive, two-phase survey of EDI users indicate that organizational form for EDI processing influenced task performance indices such that the more decentralized structures (i.e. star and circle structures) exhibited higher independence and lower saturation than the more centralized structures (i.e. wheel, kite, and chain structures). More decentralized forms also exhibited higher satisfaction with EDI than the more centralized forms on nonroutine EDI tasks. EDI task performance indices were also correlated with EDI effectiveness, such that higher independence, lower saturation, and higher satisfaction were associated with higher EDI effectiveness. IT intensity and length of EDI use also positively moderated the effects of decentralization on EDI effectiveness. These results are discussed in terms of the organizational implications of this strategic IT resource: EDI.     

Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach

We develop a state-of-the-art fraud prediction model using a machine learning approach. We demonstrate the value of combining domain knowledge and machine learning methods in model building. We select our model input based on existing accounting theories, but we differ from prior accounting research by using raw accounting numbers rather than financial ratios. We employ one of the most powerful machine learning methods, ensemble learning, rather than the commonly used method of logistic regression. To assess the performance of fraud prediction models, we introduce a new performance evaluation metric commonly used in ranking problems that is more appropriate for the fraud prediction task. Starting with an identical set of theory-motivated raw accounting numbers, we show that our new fraud prediction model outperforms two benchmark models by a large margin: the Dechow et al. logistic regression model based on financial ratios, and the Cecchini et al. support-vector-machine model with a financial kernel that maps raw accounting numbers into a broader set of ratios.     

A contingency model of perceived effectiveness in accounting information systems: Organizational coordination and control effects

A contingency model is advanced that examines sources of requirements for organizational coordination and control as they affect the extent of integration in an accounting information system. Requirements that are contingent on the degree of organizational formalization, information interdependence among functional areas, and dependence in interorganizational information sharing and electronic data interchange links, are examined. The congruence or fit of system integration with those requirements is a key concept that influences beliefs about system effectiveness. Results of the empirical study indicated that, as hypothesized, the fit between the accounting system design and the contingency factors resulted in a more successful system. Specifically, system fit was a significant factor that explained variations in perceived AIS effectiveness, as measured by decision makers' perceived satisfaction with the accuracy and monitoring effectiveness of output information. The effect of system fit on a second factor of perceived AIS effectiveness, as measured by decision-makers' satisfaction with the perceived quality of information content in system outputs, was only marginally significant. The study addresses an important area in accounting systems research that directly relates to the decision facilitation and control objectives of accounting information.     

Detecting insurance fraud using supervised and unsupervised machine learning

Fraud is a significant issue for insurance companies, generating much interest in machine learning solutions. Although supervised learning for insurance fraud detection has long been a research focus, unsupervised learning has rarely been studied in this context, and there remains insufficient evidence to guide the choice between these branches of machine learning for insurance fraud detection. Accordingly, this study evaluates supervised and unsupervised learning using proprietary insurance claim data. Furthermore, we conduct a field experiment in cooperation with an insurance company to investigate the performance of each approach in terms of identifying new fraudulent claims. We derive several important findings. Unsupervised learning, especially isolation forests, can successfully detect insurance fraud. Supervised learning also performs strongly, despite few labeled fraud cases. Interestingly, unsupervised and supervised learning detect new fraudulent claims based on different input information. Therefore, for implementation, we suggest understanding supervised and unsupervised methods as complements rather than substitutes.     

Detecting advance fee fraud emails using self-referential pronouns: A preliminary analysis

We promote awareness of the features of emails that propose advanced fee fraud schemes. These are commonly known as 419 emails (after Section 419 of the Nigerian Penal Code). We outline the structural features of 419 emails and conduct a preliminary study of their distinctive linguistic features, using word frequency counts and DICTION text analysis software. We find that the incidence of first person singular pronouns is seven times greater in 419 emails than non-419 emails. We suggest elements of a future research agenda that can build on our preliminary results to help reduce advanced fee fraud.     

A Robust Unsupervised Method for Fraud Rate Estimation

If one is interested in managing fraud, one must measure the fraud rate to be able to assess the degree of the problem and the effectiveness of the fraud management technique. This article offers a robust new method for estimating fraud rate, PRIDIT‐FRE (PRIDIT‐based Fraud Rate Estimation), developed based on PRIDIT, an unsupervised fraud detection method to assess individual claim fraud suspiciousness. PRIDIT‐FRE presents the first nonparametric unsupervised estimator of the actual rate of fraud in a population of claims, robust to the bias contained in an audited sample (arising from the quality or individual hubris of an auditor or investigator, or the natural data‐gathering process through claims adjusting). PRIDIT‐FRE exploits the internal consistency of fraud predictors and makes use of a small audited sample or an unaudited sample only. Using two insurance fraud data sets with different characteristics, we illustrate the effectiveness of PRIDIT‐FRE and examine its robustness in varying scenarios.     

Sources of professional staff turnover in public accounting firms: Some further evidence

A recent article by Rhode et al. (1977) identified 39 variables associated with professional staff turnover in public accounting firms. The present study attempted to extend this prior work by examining the antecedents of the turnover act, namely those variables associated with the turnover decision. Using a valence-instrumentality-expectancy framework, measures of task outcome valence and instrumentality were evaluated with turnover expectations for a sample of 306 staff-level accountants. The findings indicated that the turnover decision was largely a function of negatively-valued task outcomes and the likelihood of obtaining these outcomes in one's current position, and the higher likelihood of obtaining certain positive outcomes in alternative positions.     

Industry informational interactions and corporate fraud

We examine three information channels through which product market interactions in an industry can affect firms' incentives to misreport financial information to investors. We find that lower product market sensitivity to individual firms' information and greater use of relative performance evaluation encourage the commission of financial fraud. Industry structures that give rise to less collection of information about individual firms decrease the probability of fraud detection and increase the probability of fraud commission. We also examine dynamic effects of fraud. Our results suggest that, in fragmented industries, fraud can amplify cyclical fluctuations in the real economy.     

Opaque financial reports and R2: Revisited

In this study, we revisit the link between R² (synchronicity) and earnings management (opacity) because of the importance of the ongoing debate on the relation between idiosyncratic risk and earnings management in the finance and accounting literatures. Hutton et al. (J. Financial Economics, 2009) provide evidence of a positive link between opacity and R². They interpret their finding to imply that firms with high R² (high synchronicity) have less firm-specific information impounded in their stock price. Our results for this relationship fail to unequivocally support the results reported in Hutton et al. (2009). We show that their results are not only time variant but also not robust to the alternative empirical technique recommended for panel data by Petersen (2009) and alternative estimation of discretionary accruals adjusted for firm performance prescribed by Kothari et al. (2005). We also find no support for a convex relation between idiosyncratic risk and opacity. The findings documented in this study substantially revise some of Hutton et al.'s findings in this important and growing area of research.     

The real effects of corporate fraud: evidence from class action lawsuits

Using a sample of lawsuit firms from 1996 to 2009, this study examines whether fraud revelation through shareholder class action affects corporate financing and investment policies. We predict that revelation of fraud damages defendant firms' reputation and undermines credibility of their financial disclosure. As a result, such firms experience difficulty in financing and reduce investment accordingly. Consistent with our prediction, we find that fraud‐committing firms experience a decline in total financing (total investment) by 1.5 per cent (0.8 per cent) of total assets after fraud revelation. Difference‐in‐differences analyses reinforce our main findings. The impact is more pronounced for firms with lower inherent fraud incidence.     

Holliston Helping Hands

This case focuses on fraud investigation in a not‐for‐profit organization, along with an examination of governance and management control practices. The student assumes the role of an accountant investigating a possible fraud. The student is first presented with sample invoices paid by the organization that are fraught with irregularities and red flags of potential fraud. Drawing on the student's knowledge of control systems and corporate governance, the student's task is to identify suspicions of possible fraudulent transactions, identify key suspects, and develop an investigative plan. The class can also discuss recommendations to improve governance and control mechanisms to avoid future occurrences of fraud. The case is presented in three parts, and closely parallels a fraud investigation as additional information is revealed in each successive part of the case. This is much like peeling the layers of an onion which is a common way to describe the evolution of a fraud investigation. This case is based on a real fraud investigation conducted by one of the authors who was engaged by the province's Ministry of Health. Students who express disbelief about issues portrayed in the case can be reassured that these faithfully represent actual events.