Group Aggregation Techniques for Analytic Hierarchy Process and Analytic Network Process: A Comparative Analysis

The analytic hierarchy process (AHP) and the analytic network process are important multiple criteria decision making methods for supporting complex, discrete strategic management decision problems. In order to exploit a broader information basis as well as to achieve a sufficient degree of objectivity strategic decision settings are mostly embedded into a multi-personal decision context to which different individuals with expert status contribute. Owing to the fact that there is a vast number of different methods and further internal possibilities (derivation of means) to aggregate the individual expert preferences to a group consensus, the first aim of this paper is to present a comprehensive literature review on various aggregation possibilities. The second aim is the conduction of a transparent comparative analysis of selected approaches and methods (geometric/arithmetic aggregation of individual judgments, geometric/arithmetic aggregation of individual priorities, geometric/arithmetic loss function approach and Group AHP model). Therefore, we use four different evaluation scenarios and point out under which assumptions which solution is suitable. Starting from these results, the aggregation techniques adequate to a specific decision context are provided.     

Pay to Play in Parks: An Australian Policy Perspective on Visitor Fees in Public Protected Areas

Many public protected areas worldwide charge fees for entrance, overnight camping, and commercial tour permits. These visitor or user fees raise revenue and may also influence visitor behaviour. Many protected areas are forced to charge fees because government funding is inadequate for conservation and visitor management in the face of rapidly rising visitor numbers and demands. Acceptance and effects of fees, however, depend on the historical, political, legal, economic and social context. Two issues are particularly significant: (a) equity between various social groups; and (b) control and use of funds raised.     

Assessing the Comprehensiveness of Supply Chain Environmental Strategies

As environmental awareness grows, firms are expected to expand the scope of their environmental strategies beyond organisational boundaries and to address more comprehensively environmental issues in their supply chains and product life cycles. Drawing on different literature streams, international standards and corporate disclosure, this paper presents a conceptual framework for the quantitative assessment of the comprehensiveness of firms' environmental strategies. This framework allows us to capture: (i) the environmental inputs and outputs addressed, (ii) the firm versus supply chain orientation of environmental strategies, and (iii) the environmental management practices adopted by companies. We illustrate the application of this framework with a content analysis of corporate sustainability reports for a cross‐sectoral sample of sustainability leaders. Our results indicate that there is a need for greater specificity in environmental reporting and that, overall, companies remain firm‐oriented. It is also observed that supply chain orientation can generally be associated with stakeholder pressure. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.     

Rush as a key motivation in skilled adventure tourism: Resolving the risk recreation paradox

At least 14 different motivations for adventure tourism and recreation, some internal and some external, have been identified in ∼50 previous studies. Skilled adventure practitioners refer to ineffable experiences, comprehensible only to other participants and containing a strong emotional component. These are also reflected in the popular literature of adventure tourism. This contribution draws on >2000 person-days of ethnographic and autoethnographic experience to formalise this particular category of experience as rush. To the practitioner, rush is a single tangible experience. To the analyst, it may be seen as the simultaneous experience of flow and thrill. Experiences which provide rush are often risky, but it is rush rather than risk which provides the attraction. Rush is addictive and never guaranteed, but the chance of rush is sufficient motivation to buy adventure tours.     

What drives the performance of convertible-bond funds?

This paper examines the performance of US mutual funds that invest primarily in convertible bonds. Multivariate cross-sectional analyses show a significant relation between a fund’s performance and its asset composition: the higher the difference in the percentage of assets invested in convertible bonds compared to the percentage invested in stocks, the higher the performance, on average. We show that this result can be explained by factors associated with investment opportunities in the convertible-bond market and trading strategies related to convertible arbitrage, as typically performed by hedge funds. Overall, convertible-bond fund performance measured by alpha is comparable to a passive investment in stocks, bonds, and convertible bonds. This performance is the result of weak selection skills and successful timing strategies related to convertible arbitrage.     

Estimating the basis risk of index-linked hedging strategies using multivariate extreme value theory

This paper studies the empirical quantification of basis risk in the context of index-linked hedging strategies. Basis risk refers to the risk of non-payment of the index-linked instrument, given that the hedger’s loss exceeds some critical level. The quantification of such risk measures from empirical data can be done in various ways and requires special consideration of the dependence structure between the index and the company’s losses as well as the estimation of the tails of a distribution. In this context, previous literature shows that extreme value theory can be superior to traditional methods with respect to estimating quantile risk measures such as the value at risk. Thus, the aim of this paper is to conduct an empirical analysis of basis risk using multivariate extreme value theory and extreme value copulas to estimate the underlying risk processes and their dependence structure in order to obtain a more adequate picture of basis risk associated with index-linked hedging strategies. Our results emphasize that the application of extreme value theory leads to better fits of the tails of the marginal distributions in the considered stock price sample and that traditional methods in regard to estimating marginal distributions tend to overestimate basis risk, while basis risk can in contrast be higher when taking into account extreme value copulas.