Balance sheet conservatism and audit reporting conservatism

Financial reports are prepared on a going‐concern (GC) basis rather than a liquidation basis even when companies are highly distressed. This allows distressed companies to report book values of assets that greatly exceed their liquidation values, implying a lack of conservatism in the balance sheet. We argue that auditors issue going‐concern opinions in order to warn investors about this lack of balance sheet conservatism. This argument leads to two testable hypotheses. First, for companies that are at risk of bankruptcy, auditors are more likely to issue GC opinions when the book values of assets under the GC assumption are high relative to the expected liquidation values of assets (i.e., when the GC assumption causes the balance sheet to lack conservatism). Second, for companies that enter bankruptcy, the issuance of a prior GC opinion has predictive information content with respect to the wedge between the book values of assets and the future liquidation values of those same assets. Our results strongly support both hypotheses. The findings are important because they indicate that conservative audit reporting helps to compensate for a lack of conservatism in the balance sheet, which arises because the GC assumption permits the book values of assets to exceed their liquidation values.     

Fuel consumption for various driving styles in conventional and hybrid electric vehicles: Integrating driving cycle predictions with fuel consumption optimization*

Improving fuel economy and lowering emissions are key societal goals. Standard driving cycles, pre-designed by the US Environmental Protection Agency (EPA), have long been used to estimate vehicle fuel economy in laboratory-controlled conditions. They have also been used to test and tune different energy management strategies for hybrid electric vehicles (HEVs). This paper aims to estimate fuel consumption for a conventional vehicle and a HEV using personalized driving cycles extracted from real-world data to study the effects of different driving styles and vehicle types on fuel consumption when compared to the estimates based on standard driving cycles. To do this, we extracted driving cycles for conventional vehicles and HEVs from a large-scale U.S. survey that contains real-world GPS-based driving records. Next, the driving cycles were assigned to one of three categories: volatile, normal, or calm. Then, the driving cycles were used along with a driver-vehicle simulation that captures driver decisions (vehicle speed during a trip), powertrain, and vehicle dynamics to estimate fuel consumption for conventional vehicles and HEVs with power-split powertrain. To further optimize fuel consumption for HEVs, the Equivalent Consumption Minimization Strategy (ECMS) is applied. The results show that depending on the driving style and the driving scenario, conventional vehicle fuel consumption can vary widely compared with standard EPA driving cycles. Specifically, conventional vehicle fuel consumption was 13% lower in calm urban driving, but almost 34% higher for volatile highway driving compared with standard EPA driving cycles. Interestingly, when a driving cycle is predicted based on the application of case-based reasoning and used to tune the power distribution in a hybrid electric vehicle, its fuel consumption can be reduced by up to 12% in urban driving. Implications and limitations of the findings are discussed.     

Developing a Website Service Quality Scale: A Confirmatory Factor Analytic Approach

The surge in online consumers and their preference to buy over the Internet is nudging marketers to embrace e-commerce, but mere online presence without distinct user experience may not help attract and retain customers. Research suggests that website service quality is a determining factor in Internet buyer behavior. Several measurement tools have been used in the context of developed economies to measure e-service quality. The very few empirical researches in emerging economies, including India, motivated the researchers in the present study to refine the WEBQUAL 4.0 scale developed by Barnes and Vidgen (2002 Barnes, S. J., and R. T. Vidgen. 2002. An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research 3 (3):114–27. [Google Scholar]) to measure the service quality at shopping websites. The present study employs tools like SPSS 20.0 and AMOSS 20.0 to analyze the data through exploratory factor analysis and confirmatory factor analysis. Study results suggest a 14-item WEBQUAL four factor (Ease of Use, Information Quality, Reliability, and Empathy) scale that is appropriate for Indian settings.     

The adoption of blockchain technology in the financial sector during the era of fourth industrial revolution: a moderated mediated model

Quality & Quantity - Blockchain technology is considered a core technology in the financial sector with promising prospects like economic development, financial innovation, and internet...     

Overconfidence and Corporate Tax Policy

Review of Accounting Studies - Using a sample of firms experiencing exogenous CEO departures, we investigate whether firms with overconfident CEOs avoid more tax. We find robust evidence of a...     

Hospitality crisis management practices: The case of Indian luxury hotels

This study examines hospitality crisis management practices within the context of the Indian hospitality industry. The study is a replication of a study previously conducted in Israel. The study employs a questionnaire that evaluates the importance and usage of four themes of practices: marketing, hotel maintenance, human resources and governmental assistance. The findings illustrate which practices managers consider important and which practices managers actually use during a crisis. The paper concludes with recommendations for future research and management of crises.     

Waiting for service: modelling the effectiveness of service interventions

Most service businesses tend to experience unwelcome delays in service delivery that often generate strong negative impacts from customers. In response, managers develop and implement service intervention strategies, such as providing length and reason of a delay, both of which have been reported to have positive impacts on customers. However, the results from studies investigating such interventions are mixed. Accordingly, it is hypothesised that these effects may be contingent upon certain situations. This research project has investigated the wait situation using an experimental design. A 2 × 2 × 2 factorial design was first created using a restaurant scenario for the stimulus material and an online web site was used to collect data from 130 respondents. Our findings indicate a significant moderating effect of level of service use and degree of goal attractiveness on the effectiveness of providing duration and cause information. More importantly, we found that under certain conditions a service intervention may be counterproductive to the intended strategy. This finding suggests that managers need to be wary of developing and executing expensive service recovery strategies without due regard to the customer segment being targeted.     

Estimation risk and auditor conservatism

Estimation risk occurs when individuals form beliefs about parameters that are unknown. We examine how auditors respond to the estimation risk that arises when they form beliefs about the likelihood of client bankruptcy. We argue that auditors are likely to become more conservative when facing higher estimation risk because they are risk-averse. We find that estimation risk is of first-order importance in explaining auditor behavior. In particular, auditors are more likely to issue going-concern opinions, are more likely to resign, and charge higher audit fees when the standard errors surrounding the point estimates of bankruptcy are larger. To our knowledge, this is the first study to quantify estimation risk using the variance-covariance matrix of coefficient estimates taken from a statistical prediction model.     

Regulating Audit beyond the Crisis: A Critical Discussion of the EU Green Paper

With the European Commission making global leadership claims in the field of audit regulation, the content of its 2010 Green Paper on ‘Audit Policy: Lessons from the Crisis’ warrants careful scrutiny. Important issues raised in the Green Paper include regulatory oversight, competition in the audit market, the dangers of having very few firms with the capacity to audit global transnational corporations, professional judgement, innovative audit practices and, last but not least, social responsibility. This article analyses the principal perspectives and assumptions underpinning the construction of the Green Paper. The aims are threefold: to enhance understanding of the contemporary regulatory mindset of the European Commission, contribute to policy debate and inspire future research.