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This chapter examines how public attitudes and judgments about tax fairness reflect distributive justice rules about proportionality/contributions, needs, and equality; fairness issues that influence voluntary tax compliance (Hofmann, Hoelzl, & Kirchler, 2008; Spicer & Lundstedt, 1976). Most public polls and some prior research indicate the general public considers progressive income tax rates as fairer than flat tax rates, a reflection of the Needs rule of distributive justice theory; our 1,138 participants respond similarly. However, two-thirds of our politically representative sample of the American public actually assign “fair shares” of income taxes consistently with fairness-as-proportionality above an exempt amount of income, consistent with the Contributions rule of Equity Theory. We argue experimental assignments of fair shares of income taxes can best be understood as a combination of the Needs rule, applied by exempting incomes below the poverty line from income taxation (via current standard deductions) and taxing incomes above this exempt amount at a single tax rate (i.e., a flat-rate tax) consistent with the Proportionality/Contributions rule. Viewed in combination, these two distributive justice rules explain the tax fairness judgments of 89% of our sample and indicate surprising general agreement about what constitutes a fair share of income taxes that should be paid by US citizens from the 5th percentile to the 95th percentile of the income distribution. The joint application of these fairness rules indicates how seemingly competing, partisan distributive justice concerns can inform our understanding of social attitudes about tax fairness across income classes.

Prior research identified conflicts in implementing performance measurement systems that include both financial and non-financial measures. Attempts to incorporate non-financial measures, for example, balanced scorecards (BSCs), have shown short-term success, only to be replaced with systems that rely on financial measures. We develop a theoretical model to explore evaluators’ choice and use of the most important performance measurement criterion among financial and non-financial measures.

Our model links participants’ prior evaluation experiences with their attitudes about relative accounting qualities and with their choice of the most important performance measure. This choice subsequently affects their evaluation judgments of managers who perform differentially on financial versus non-financial measures.

Experimental testing of our structural equation model indicates that it meets the accepted goodness of fit criteria. We conclude that experience has an influence on choice of performance measures and on decision heuristics in making such evaluations. We suggest that an “experience gap” must be considered when deciding which performance metrics to emphasize in scorecards or similar performance reports. We analyzed four accounting qualities, importance, relevance, reliability, and comparability and found that importance, relevance, and reliability have strong effects on how managers prioritize and use accounting measures.

We conducted our study in a controlled, experimental setting, including participants with diverse experiences. We provide direct evidence of participants’ experience and attitudes about the relative accounting qualities of financial and non-financial measures which we link to their choice of the most important performance measure. We link this choice to their performance evaluations.

This study investigates taxpayers' assessments of what they believe to be fair amounts of federal income taxes for families that differ with regard to the number of dependent children, the number of spouses employed, and marital status. Three-hundred-and-sixty-six prospective jurors from Alabama and Colorado participated in the experiment. In a between-subjects design, tax liabilities were: (1) lower when households included dependent children, (2) the same regardless of whether one or both spouses generated the income, and (3) the same for married couples and singles with the same total incomes. Participants did not assess taxes so as to avoid a marriage penalty; instead, they assessed taxes in a manner that avoided a single's penalty, even though approximately three-fourths of the participants were married. Further, contrary to current tax policy, within-subject results suggest that participants consider it fair for a single parent to pay significantly less tax than a married couple with a child.

The objective of this study is to know how income taxpayers perceive the Jordanian income tax fairness and to determine the degree of income taxpayers’ compliance in Jordan. Moreover, the study aims to investigate the effect of income tax fairness on taxpayers’ compliance degree in Jordan. An empirical survey using self‐administered questionnaire has been carried out to achieve the objectives of this study. The survey included 275 respondents among income taxpayers in Jordan, but just 246 copies were received. Based on the revision of the literature framework, and in order to achieve the above‐mentioned objectives, eight hypotheses were developed and tested using t‐test through the methods of “one sample t‐test”, and “simple linear regression”. The study reveals that income taxpayers in Jordan perceive the Jordanian income tax as fair. The study also reveals that there is a high degree of income taxpayers’ compliance in Jordan. Moreover, the study concludes that income tax fairness affects income taxpayers’ compliance, but tax fairness alone doesn’t interpret all the change that occurs in taxpayers’ compliance issue.

In the growing debate about designing new management control systems (MCS) to include stakeholder values, there has been little discussion about information overload. Stakeholder advocates call for including more environmental and related social disclosures but do not consider how information overload might impair the use and interpretation of corporate performance measures. As we know, shareholders and boards of directors are most concerned with market data such as earnings per share, dividend rates, and market value growth. In this chapter, we assert that management control system designers must consider information overload before expanding the MCS to include social and nonfinancial disclosures.

The paradox in expanding MCS is that demand for sustainability performance measures will likely result in overload for both information preparers and information users. Corporate Social Responsibility (CSR) and similar sustainability disclosures are likely to overload MCS and overwhelm the readers and users by performance reports that include multiple dimensions.

CSR affects the design of companies' annual reports because stakeholders are increasingly concerned with how organizations address their social responsibilities and how they disclose their societal responses. Management accountants are accustomed to providing performance measures within an organization and MCS usually have an internal focus. CFOs are often not accustomed to balancing the needs of stakeholders with those of managers and owners. We suggest that companies and CFOs will face an information overload dilemma in making these determinations, and that users will be overloaded in sifting through the multiple dimensions of information that are increasingly being provided. We suggest that the bias toward financial performance measures will distort both the provision of relevant information and the use of sustainability performance measures. We modified the Epstein and Roy sustainability model (2001) to illustrate some of these potential impacts.

We note that the balanced scorecard (BSC) was developed as one such tool to reflect and communicate multiple measures. We summarize a previous study showing how managers ignored multiple performance measures in a performance scorecard study. We then relate our results to some of the information overload literature to support our suggestion that stakeholders will face many of the same information overload issues and constraints when using and processing social disclosures.

Our summary of the information overload literature results in a call for more interdisciplinary information overload research involving real-world contexts and tasks. We note that most of the extant information overload literature is restricted to discipline-based silo-oriented studies and to simplistic evaluations, brand identification, or forecasting tasks. Our study went into some depth to describe the business, its strategies and objectives, and a comparison of actual results to specific goals. As management control systems evolve or are designed to report sustainability data, the issues surrounding increasing complexity and information overload will become exponentially problematic. We suggest that future research also include consideration of information overload conditions facing preparers and disclosers of sustainability measures.

In light of advances in the theory of cognition (Anderson, 1996, 2000; Anderson & Fincham, 1994; Anderson & Lebiere, 1998) and research on learning from worked examples (Atkinson et al., 2000; Cooper & Sweller, 1987; Sweller & Cooper, 1985), this study extends earlier research findings that auditors need practice and certain kinds of feedback to acquire procedural knowledge to identify causes of variations between expected and actual financial ratios. We test an alternative form of instruction: worked examples. As predicted by Anderson's ACT-R 4.0 theory, the results indicate individuals’ pre-test declarative knowledge interacts significantly with learning method (with or without examples) on procedural knowledge acquisition. In contrast to prior findings, this study shows that improvements in auditing procedural knowledge can be achieved by passive instruction in worked examples, a potentially more efficient (cost-effective) method than practice and feedback for auditor training.