Risk assessment in internal auditing: a neural network approach

Risk assessment is a systematic process for integrating professional judgments about relevant risk factors, their relative significance and probable adverse conditions and/or events leading to identification of auditable activities (IIA, 1995, SIAS No. 9). Internal auditors utilize risk measures to allocate critical audit resources to compliance, operational, or financial activities within the organization (Colbert, 1995). In information rich environments, risk assessment involves recognizing patterns in the data, such as complex data anomalies and discrepancies, that perhaps conceal one or more error or hazard conditions (e.g. Coakley and Brown, 1996; Bedard and Biggs, 1991; Libby, 1985). This research investigates whether neural networks can help enhance auditors’ risk assessments. Neural networks, an emerging artificial intelligence technology, are a powerful non‐linear optimization and pattern recognition tool (Haykin, 1994; Bishop, 1995). Several successful, real‐world business neural network application decision aids have already been built (Burger and Traver, 1996). Neural network modeling may prove invaluable in directing internal auditor attention to those aspects of financial, operating, and compliance data most informative of high‐risk audit areas, thus enhancing audit efficiency and effectiveness. This paper defines risk in an internal auditing context, describes contemporary approaches to performing risk assessments, provides an overview of the backpropagation neural network architecture, outlines the methodology adopted for conducting this research project including a Delphi study and comparison with statistical approaches, and presents preliminary results, which indicate that internal auditors could benefit from using neural network technology for assessing risk. Copyright © 1999 John Wiley & Sons, Ltd.     

Processes and effects of targeted online advertising among children

Increasingly, information from children's profile pages on social network sites is being used to target online advertising, a phenomenon known as profile targeting. This practice has raised concerns in society and academia; however, its effects among children remain unstudied. Therefore, we investigated the effects of profile targeting on children's brand responses (i.e., brand attitude and purchase intention). We examined two types of targeting: targeting of product and of form (i.e., color). In addition, we tested three underlying mechanisms: liking the advertisement, perceived personal relevance of the advertisement, and recognizing the targeting aspect of the advertisement (targeting recognition). A between-subjects experiment among 231 children aged 9–13 years showed that targeting the product leads to more positive brand attitudes and purchase intentions. In addition, the effects were explained by ad liking and not by perceived personal relevance or targeting recognition. These findings suggest that, unlike adults, children do not process profile targeting on an elaborate critical level. Rather, the processing seems to be less elaborate.     

The intellectual structure of the strategic management field: an author co-citation analysis

This paper complements a recent study by Ramos-Rodriguez and Ruiz-Navarro (2004) that investigated the intellectual structure of the strategic management field through co-citation analysis. By using authors as the units of analysis and incorporating all the citations that are included in the Science Citation Index and the Social Science Citation Index, we trace the evolution of the intellectual structure of the strategic management field during the period 1980–2000. Using a variety of data analytic techniques such as multidimensional scaling, factor analysis, and Pathfinder analysis, we (1) delineate the subfields that constitute the intellectual structure of strategic management; (2) determine the relationships between the subfields; (3) identify authors who play a pivotal role in bridging two or more conceptual domains of research; and (4) graphically map the intellectual structure in two-dimensional space in order to visualize spatial distances between intellectual themes. The analysis provides insights about the influence of individual authors as well as changes in their influence over time. Copyright © 2007 John Wiley & Sons, Ltd.     

Mobile Marketing: A Synthesis and Prognosis

Mobile marketing refers to the two- or multi-way communication and promotion of an offer between a firm and its customers using a mobile medium, device, or technology. We present the conceptual underpinnings of mobile marketing and a synthesis of the relevant literature. We identify and discuss four key issues: drivers of mobile device/service adoption, the influence of mobile marketing on customer decision-making, formulation of a mobile marketing strategy, and mobile marketing in the global context. We outline research directions related to these issues and conclude by delineating the managerial implications of mobile marketing insights.     

Payment For Risk: Constant Beta Vs. Dual-Beta Models

Fama and French's (1992) assertion that investors receive premium payments for risk associated with the book value to market price (BE/ME) and size and not for holding beta risk has sparked a lively debate concerning risk factors that are priced in the market. Howton and Peterson (1998) use a dual-beta model to test the Fama and French conclusions. They conclude that the significant relationship between beta and returns depends on the use of the dual-beta model. This work, however, ignores the results reported by Pettengill, Sundaram, and Mathur (PSM, 1995). PSM find a significant relation between a constant risk beta and returns when data are segmented between up and down markets, but do not consider the impact of size and BE/ME. In this paper we show that the PSM (1995) market segmentation procedure alone provides a sufficient condition to identify a significant relation between beta and returns in the presence of size and BE/ME. Dual market betas may be relevant in explaining risk and return. However, the market segmentation procedure of PSM (1995) is the critical condition for finding a significant relationship between returns and betas.     

Participating convertible preferred stock in venture capital exits

This paper develops a theory of the participating convertible preferred (PCP) stock commonly used in venture capital settings. I show that the participation and convertibility features of PCP stock can be used to reduce information asymmetry between the venture and potential investors at the time of exit. Further, the convertibility feature of PCP helps in alleviating the problem of insufficient entrepreneurial effort. I then derive implications for the two most common types of exits in venture capital—initial public offerings and trade sales—and explain how US venture capital markets differ from other VC markets.     

Perverse liquidity effect of monetary policy: some evidence for India

The liquidity effect of money supply increases, as policy-oriented measures, would generally lead to a decline in interest rates. This is the direct effect. However, such money supply increases lead to a sum of the direct effect plus the positive indirect price and income effects. In sum, the net effect may be positive leading to a net increase and not a decrease in the interest rate. The regular money demand function is suitably modified to capture the structural changes of the Indian economy to verify the net effect of monetary policy-induced money supply movements. The empirical evidence indicates the presence of a perverse liquidity effect.     

The boundary spanning capabilities of purchasing agents in buyer-supplier trust development

This study examines how individual purchasing agents function as boundary spanners with suppliers to influence trust development in themselves and the buying firms that employ them. Building upon boundary theory and supply chain cooperation research, we identify three boundary spanning capabilities of purchasing agents and empirically test how these capabilities shape buyer-supplier trust development. Using two samples of data collected from suppliers in the automotive industry and food industry, we found that a purchasing agent's effectiveness in strategic communication with suppliers affects a supplier's trust in the buying firm, while an agent's professional knowledge and ability toreach compromises with suppliers affect a supplier's trust in the purchasing agent representing the firm. Trust in the purchasing agent in turn affects trust in the buying firm. Theoretical and managerial implications are discussed.     

The impact of creative media advertising on consumer responses: two field experiments

Abstract

Creative media (CM) advertising is an advertising strategy wherein a non-traditional medium is creatively used for advertising purposes. This novel advertising strategy is gaining marketers’ interest; however, little is known about its persuasive effects on consumers’ cognitive, affective and behavioural responses and the processes that underlie them. Therefore, to convey a genuine experience to consumers, two field experiments with a one-factor (advertising type: creative vs. traditional) between-subjects design were conducted within a supermarket context. Results showed that creative (vs. traditional) media ads not only improve consumers’ affective and behavioural responses but also consumers’ cognitive responses. Even though no mediations were found through perceived surprise or perceived persuasive intent, results do provide evidence for the notion that perceived humor and perceived value are the underlying mechanisms through which affective and behavioural responses to creative media advertising can be explained.