International compliance with new Basel Accord principles for risk governance

We assess international compliance with the Basel Committee's 2010 guidance on governance of banking organisations. Based on an extensive examination of regulatory documents in selected advanced economies, we find that reform is incomplete in jurisdictions most affected by the financial crisis, and with the largest financial centres. In contrast, other countries less affected by the financial crisis have enacted risk governance reforms as protection against potential future contagion. We provide insights for policy‐makers charged with improving governance at banks, and a richer understanding for international regulators as they revise the guidelines and aim for greater compliance at the national level.     

SME Reporting in Australia: Where to Now for Decision‐usefulness?

This paper develops recommendations for simplified decision‐useful SME financial reporting in Australia – a country that has traditionally allowed a wide range of reporting standards to be used by these entities. Drawing on interviews and comment letters from a number of stakeholders, and data from a survey of users of financial statements of non‐publicly accountable unlisted entities, we analyse stakeholder arguments for and against SMEs providing less detailed reports, and identify the line items that might be most useful to users for decision making.     

Loss-leader pricing and upgrades

A new theory of loss-leader pricing is provided in which firms advertise low (below cost) prices for certain goods to signal that their other unadvertised (substitute) goods are not priced too high. The theory is applied to the pricing of upgrades. The results contrast with most existing loss-leader theories in that firms make a loss on some consumers (who buy the basic version of the good) and a profit on others (who buy the upgrade).     

Exploring human capital: putting ‘human’ back into strategic human resource management

The field of strategic human resource management has seemingly rediscovered human capital with increasing research focused on human capital as a mediator in the relationship between HR practices and performance. In this paper we review human capital definitions and measurement approaches within this literature. We then identify some of the issues emerging with human capital research. Finally, we propose some future directions for research on human capital in organisations.     

Organic Food at the Point of Purchase: Understanding Inconsistency in Consumer Choice Patterns

The organic food category, while still small in terms of world food production, has continued to grow in many markets in the developed world. This article focuses on understanding the barriers and facilitators to purchasing organic food at the final hurdle: the point of purchase (POP). A qualitative study has identified seven factors that influence buyer behavior at the POP, and these are consumer intention to purchase organic food when entering the retail outlet; habit; availability; false assumptions; visibility and access of organic food; visual and olfactory cues; and price. These can often be the final hurdle to consumers choosing (or not) organic food at the POP.     

Social assistance and dignity: South African women's experiences of the child support grant

Many women interact with the South African social security system in relation to the Child Support Grant (CSG), which is social assistance payable for children living with low-income caregivers. This paper explores women's accounts of how the CSG serves to protect and respect dignity, a foundational value in the South African Constitution. Drawing from focus groups and in-depth interviews with female CSG recipients of working age, it is argued that whilst the experience of using the CSG does protect dignity in certain important respects, other aspects including the application process, the small amount of the grant and negative discourses associated with the status of being a CSG recipient were experienced by many as erosive of dignity.     

Predicting future purchases with the Poisson log-normal model

The negative binomial distribution (NBD) has been widely used in marketing for modeling purchase frequency counts, particularly in packaged goods contexts. A key managerially relevant use of this model is Conditional Trend Analysis (CTA)—a method of benchmarking future sales utilizing the NBD conditional expectation. CTA allows brand managers to identify whether the sales change in a second period is accounted for by previous non-, light, or heavy buyers of the brand. Although a useful tool, the conditional prediction of the NBD suffers from a bias: it under predicts what the period-one non-buyer class will do in period two and over predicts the sales contribution of existing buyers. In addition, the NBD's assumption of a gamma-distributed mean purchase rate lacks theoretical support—it is not possible to explain why a gamma distribution should hold. This paper therefore proposes an alternative model using a log-normal distribution in place of the gamma distribution, hence creating a Poisson log-normal (PLN) distribution. The PLN distribution has a stronger theoretical grounding than the NBD as it has a natural interpretation relying on the central limit theorem. Empirical analysis of brands in multiple categories shows that the PLN distribution gives better predictions than the NBD.     

New development: The conceptual underpinnings of international public sector accounting

The conceptual underpinnings of accounting standards are potentially very important for the future of public sector accounting internationally. The authors explain why and comment on the implications for public sector accounting.     

Forecasting interest rates with shifting endpoints

We consider forecasting the term structure of interest rates with the assumption that factors driving the yield curve are stationary around a slowly time‐varying mean or ‘shifting endpoint’. The shifting endpoints are captured using either (i) time series methods (exponential smoothing) or (ii) long‐range survey forecasts of either interest rates or inflation and output growth, or (iii) exponentially smoothed realizations of these macro variables. Allowing for shifting endpoints in yield curve factors provides substantial and significant gains in out‐of‐sample predictive accuracy, relative to stationary and random walk benchmarks. Forecast improvements are largest for long‐maturity interest rates and for long‐horizon forecasts. Copyright © 2013 John Wiley & Sons, Ltd.