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Financial analysts act as crucial conduits of information between firms and stakeholders. However, comparatively little is known about how these information intermediaries evaluate the believability and importance of corporate disclosures. We argue that a firm’s level of managerial discretion, or latitude of executive action, acts as a cue for financial analysts, which helps them interpret and respond to voluntary management earnings forecasts. Our study provides strong, robust evidence that financial analysts find management forecasts significantly less believable in low-discretion than in high-discretion environments, and therefore tend to be much less responsive to these forecasts. We also show that managerial discretion is especially impactful on analysts’ responses in those circumstances where analysts are typically most uncertain about how to interpret management forecasts.

Prior experimental budgeting research has focused primarily on individuals’ budget setting and little experimental research has examined budgeting in a group setting. Using a controlled experiment, this study extends prior participative budgeting research by examining the effects of aggregation levels of performance feedback and task interdependence on budgetary slack and the effects of different levels of feedback on group performance in a group participative budget setting.

The results suggest that aggregation levels of performance feedback differentially impact budgetary slack and group performance. Providing both group and individual performance feedback increases group performance and reduces budgetary slack compared to providing group performance feedback only. Providing information about other subordinates’ performance further increases group performance and reduces budgetary slack beyond the effects of providing individual workers information only about their own performance. The results indicate that task interdependence also affects the level of budgetary slack. Specifically, high task interdependence groups created more budgetary slack than did low task interdependence groups.

In recent work, we have developed a theory of economic forecasting for empirical econometric models when there are structural breaks. This research shows that well-specified models may forecast poorly, whereas it is possible to design forecasting devices more immune to the effects of breaks. In this chapter, we summarise key aspects of that theory, describe the models and data, then provide an empirical illustration of some of these developments when the goal is to generate sequences of inflation forecasts over a long historical period, starting with the model of annual inflation in the UK over 1875–1991 in Hendry (2001a).

Service quality has become an important area for competition among Chinese carriers. This paper focuses on studying the relationship between customer satisfaction measured by customer complaints and their expectation of the on-time performance of Chinese carriers and how the customer complaints affect the financial performance of carriers. By using a quarterly balanced panel data set covering six large listed carriers, the empirical results show that an increase in actual on-time performance reduces customer complaints. However, an increase in expected on-time performance significantly raises customer complaints. An increase in customer complaint reduces the yield measured as revenue per revenue ton kilometer (RTK) of carriers.

In this chapter we provide analytical and Monte Carlo evidence that Chow and Predictive tests can be consistent against alternatives that allow structural change to occur at either end of the sample. Attention is restricted to linear regression models that may have a break in the intercept. The results are based on a novel reparameterization of the actual and potential break point locations. Standard methods parameterize both of these locations as fixed fractions of the sample size. We parameterize these locations as more general integer-valued functions. Power at the ends of the sample is evaluated by letting both locations, as a percentage of the sample size, converge to 0 or 1. We find that for a potential break point function, the tests are consistent against alternatives that converge to 0 or 1 at sufficiently slow rates and are inconsistent against alternatives that converge sufficiently quickly. Monte Carlo evidence supports the theory though large samples are sometimes needed for reasonable power.

The study aims at reviewing a synthesis of the impact of culture on the implementation of International Financial Reporting Standards (IFRS) in an attempt to provide directions for future research. From the extensive structured review of literature from 106 articles, 23 related articles were analysed. The SCOPUS database tool was used to search the articles. Over the last three decades (188–2018), a total of 23 articles were published from 18 journals. Four journals contribute to 39% articles including Advances in Accounting (2), Critical Perspectives on Accounting (2), European Research Studies Journal (2), and International Journal of Accounting (3). In total, 22% of the articles had no citations. Most of the articles used Hofstede’s theory of culture and utilised quantitative data analysis. Interestingly, 48% of the articles did not apply any theory. The study calls for future research on comparative and regional and other theories to inform the policymakers on cultural implication on global IFRS implementation.

This chapter studies the technical efficiencies of Chinese airports by using a meta-frontier production function model which accounts for airports in different regions accessing different technologies. Our empirical results show that the technical efficiency scores of airports and provincial output in the coastal region are higher than their counterparts in the inland region. However, the technical efficiency scores of airports and provincial output in inland region are steadily increasing while the counterparts of airports and provincial output in coastal region are slowly declining. In addition, our analysis of provincial efficiency changes shows that airport productivity has a positive and statistically significant effect on the technical changes of provincial output. Our results partially confirm the success of the government policy of promoting airport construction and development in the western inland region.

We examine the role of financial and nonfinancial performance measures in managing revenues derived from life cycles of a type of intellectual property products − motion pictures.

Our study focuses on the first two markets in which audiences can watch a motion picture – the upstream theatrical market and the downstream home video market. We combine data collected from numerous public and proprietary sources and form a final sample of 654 motion pictures. Then we perform regression analysis on the data.

First, three measures of a movie’s performance in the theatrical market, opening box office revenue, peak rank, and weeks at the peak rank, have positive effects on subsequent revenues in the home video market. Second, the same set of performance measures also predicts the motion picture’s life span in the theatrical market. Third, when the actual life span of a motion picture in the theatrical market deviates from its predicted value, the total return on investment in the motion picture decreases.

We do not have data on other downstream markets related to motion pictures, such as pay-per-view and online video streaming.

This study suggests that the public and proprietary data can be used to inform managerial decisions regarding intellectual property product life cycles.

This is the first accounting study that directly examines life cycle revenues of intellectual property products. We also extend literature on revenue driver and revenue management research to the product level.