The Recognition of Goodwill and Other Intangible Assets in Business Combinations – The Portuguese Case

In this study, we investigate the magnitude of goodwill recognised in business combinations during the years 2005 to 2009 by the Portuguese companies listed on Euronext Lisbon, and characterise the amount of the other intangible assets recognised separately from goodwill. We also analyse the level of compliance of those companies with the main disclosure requirements of International Financial Reporting Standard (IFRS) 3 – Business Combinations. Our study, which involves the analysis of 197 business combinations, reveals that the amounts of goodwill continue to be highly material, while conversely, the value of identifiable intangible assets in those acquisitions is very low. The results suggest that Portuguese companies do not undertake sufficient efforts to individually identify and disclose intangibles acquired in business combinations. This fact is reinforced by the reduced level of compliance with the disclosures required by IFRS 3, particularly the factors that contribute to the recognition of goodwill. Our findings provide feedback to standard setters in an effort to improve practice in the application of IFRS 3. Moreover, they reinforce their recent concerns regarding the post‐implementation review of business combinations, as well as the ongoing project of the IASB, whose objective is to improve disclosures in existing standards.     

Complex agent-based macroeconomics: a manifesto for a new paradigm

This article discusses some issues and challenges facing modern macroeconomics. We argue for the necessity to replace the reductionist approach at the heart of mainstream DSGE models with an approach rooted on the science of complexity and agent-based modelling. To strengthen and exemplify our position, we show a simple example and introduce several items for a research agenda along these lines.     

Institutional Change of Accounting Systems: The Adoption of a Regime of Adapted International Financial Reporting Standards

Richard Mattessich, New York: Garland Publishing (New Works in Accounting History), 2000, £43.00, xii +179pp. ISBN: 0-8153-3445-1     

Between Rules and Incentives: Uncovering Hayek's Moral Economy

This article uncovers Hayek's moral economy. It focuses on the relation between markets, as well as on the nonmarket institutions on which the former rely, and the motivations that guide individuals' behavior. Despite his epistemological admonitions, Hayek has a rich set of suggestions about the functional importance of particular individuals' motivation and moral makeup for the development of a market society. This contributes to undermine his claims that a market society can be neutral among different values.     

Cointegration analysis for cross-sectionally dependent panels: The case of regional production functions

This paper employs recently developed non-stationary panel methodologies that assume cross-section dependence to estimate a production function for Italian regions over the 1970–2003 period. The analysis consists of three steps. First, unit root tests for cross-sectionally dependent panels are applied. Second, the existence of a cointegrating relationship among value added, physical capital and human capital-augmented labour is investigated, fully allowing for cross-section dependence. Then, the appropriate Fully Modified Ordinary Least Square estimators developed by Bai and Kao [Bai, J., Kao, C. 2006. On the Estimation and Inference of a Panel Cointegration Model with Cross-Sectional Dependence. In: B.H. Baltagi (Ed) Panel Data Econometrics: Theoretical Contributions and Empirical Applications, Elsevier Science: Amsterdam; 2006, pp.3–30.] are used to estimate the long-run relationship. We find that neglecting cross-section dependence can have a strong impact on the estimated long-run input elasticities, generally imparting them an upward bias.     

Numeric or weighted distribution? The effect of different channel performance metrics on market share

Abstract

Previous studies have found a convex relation between weighted measures of distribution and market share for consumer products in developed economies, while companies in emerging markets often use a non-weighted (numeric) distribution measure to manage their channel strategy. In contrast to the markets with high retail concentration, the numeric distribution could be best suited to a more fragmented retail market in which the percentage of physical distribution is important. We investigate the effects of expanding numeric versus expanding weighted distribution by studying stores in channels and regions characterized by structural differences in an emerging market. Our data come from retail audits in Brazil and include 91 soft drink manufacturers, 195 brands and 1,110 stock-keeping units. Our study highlights the importance of numeric distribution as a performance measure in this market. Additionally, we show that the effects of numeric and weighted distribution on market share vary by region and channel format.     

Integral decision analysis in mutually exclusive capital investment projects. Case study: Hard Rock Cafe at Riviera Maya

Brands that have worldwide recognition are perceived as profitable businesses. One of the reasons for this perception might lie in the belief that these companies usually employ some degree of financial evaluation to make the right choice in terms of investment; Hard Rock Cafe is no exception. The brand opened one restaurant in the Riviera Maya in 2011 which closed within nine months. Could a better investment decision have been made if the Hard Rock Cafe Mexico management had followed the Integral Decision Analysis (IDA) method? This method gives decision-makers a chance to analyze mutually exclusive capital budgeting projects. The case study illustrates the type of elements that the model can yield, it provides a brief explanation on how this process could have been used by the Hard Rock Cafe management and it offers an explanation on how this knowledge might have helped in supporting a final investment decision. In conclusion, the IDA method used to analyze this project might reduce the risks in capital investments.     

A fuzzy model to assess the resilience of Protection and Civil Defense Organizations

Resilience is the intrinsic ability of a system to adjust its functioning prior to, during, or following changes and disturbances, so that it can sustain required operations under expected and unexpected conditions. Protection and Civil Defense Organizations (PCDOs), communities and cities deal with disaster management involving routine, non-routine and even unpredictable/unforeseen situations with varying degrees of complexity. It is important that such organizations continually assess their resilience, enable them to learn on their weaknesses and real capacities to cope with emergency situations. This research aimed the development of an Organization Resilience Indicator System (ORIS) based on a fuzzy model to enable PCDOs self-assesses their resilience. Based on a literature review on organizational and community’s resilience, a system of resilience indicators was defined. This system was validated by experts using fuzzy set theory to aggregate opinions in the development of a resilience ideal pattern. Then, the resilience of four PCDO organizations was self-evaluated. The results were accordingly to maturity level of the organizations evaluated, indicating that the ORIS is valuable to measure PCDOs resilience.     

Tourist expectations and perception of service providers: a Brazilian perspective

Service Business - This research studies the formation of tourist expectations around a tourist destination and the existence of a knowledge gap between this group and perceptions of tourism...