The customer value proposition: evolution,development, and application in marketing

The customer value proposition (CVP) has a critical role in communicating how a company aims to provide value to customers. Managers and scholars increasingly use CVP terminology, yet the concept remains poorly understood and implemented; relatively little research on this topic has been published, considering the vast breadth of investigations of the value concept. In response, this article offers a comprehensive review of fragmented CVP literature, highlighting the lack of a strong theoretical foundation; distinguishes CVPs from related concepts; proposes a conceptual model of the CVP that includes antecedents, consequences, and moderators, together with several research propositions; illustrates the application of the CVP concept to four contrasting companies; and advances a compelling agenda for research.     

Corporate social responsibility: The disclosure–performance gap

As increased stakeholder pressure requires companies to be transparent about their CSR practices, it is essential to know how reliable corporate disclosure mechanisms are, testing the gap between corporate social responsibility claims and actual practice. This study benchmarks corporate social responsibility policies and practices of ten international hotel groups of particular importance to the European leisure market. We found that corporate systems are not necessarily reflective of actual operations, environmental performance is eco-savings driven, labour policies aim to comply with local legislation, socio-economic policies are inward looking with little acceptance of impacts on the destination, and customer engagement is limited. Generally larger hotel groups have more comprehensive policies but also greater gaps in implementation, while the smaller hotel groups focus only on environmental management and deliver what they promised. As the first survey of its kind in tourism, both the methodology and the findings have implications for further research.     

MEASURING RICHNESS AND POVERTY: A MICRO DATA APPLICATION TO EUROPE AND GERMANY

In this paper, we define a new class of richness measures. In contrast to the often used headcount, these new measures are sensitive to changes in rich individuals' incomes and, therefore, allow for a more sophisticated analysis of richness. We demonstrate the application of these new measures in analyzing the development of poverty and richness over time in Germany. Moreover, we compare Germany to many other European countries and investigate the impact of tax reforms on poverty and richness. Using these examples, we show the importance of taking the intensity of changes into account and not only the number of people beyond a given richness line (headcount). We propose to use the new measures in addition to the headcount index for a more comprehensive analysis of richness.     

Die reale Zahlungsbereitschaft für Klimaschutz

Der Klimawandel und das globale ?ffentliche Gut Klimaschutz genie?en gro?e Aufmerksamkeit in der ?ffentlichen Debatte. Klimaschutz verursacht jedoch Kosten und es stellt sich die Frage, was die Menschen in Deutschland tats?chlich für Klimaschutz bereit sind zu zahlen. Dieser Beitrag stellt eine neue Studie zur Ermittlung der realen Zahlungsbereitschaft für Klimaschutz vor und diskutiert die Ergebnisse aus der Perspektive der Klimapolitik.     

Diagnostic Tests of Cross‐section Independence for Limited Dependent Variable Panel Data Models*

This article considers the problem of testing for cross‐section independence in limited dependent variable panel data models. It derives a Lagrangian multiplier (LM) test and shows that in terms of generalized residuals of Gourieroux et al. (1987) it reduces to the LM test of Breusch and Pagan (1980) . Because of the tendency of the LM test to over‐reject in panels with large N (cross‐section dimension), we also consider the application of the cross‐section dependence test (CD) proposed by Pesaran (2004) . In Monte Carlo experiments it emerges that for most combinations of N and T the CD test is correctly sized, whereas the validity of the LM test requires T (time series dimension) to be quite large relative to N. We illustrate the cross‐sectional independence tests with an application to a probit panel data model of roll‐call votes in the US Congress and find that the votes display a significant degree of cross‐section dependence.     

Exploring the Existence of Local and Global Knowledge Spillovers:Evidence from Plant‐Level Data*

We investigate the existence of local (within‐country) and global (between‐country) knowledge spillovers within a single analytical framework. Our study is based on a detailed database of domestically owned and foreign‐affiliated manufacturing plants located in Ireland. The results of our econometric analysis show that domestically owned plants benefit from the research and development (R&D) activities of other domestically owned plants, as well as from R&D activities conducted in the country of origin of foreign‐owned plants through their presence in Ireland. A fundamental difference between such locally generated and locally transmitted global spillovers appears to be that the latter are much less constrained by distance decay effects.     

Sample size requirements in structural equation models under standard conditions

When a research of risk considers researchers who wish to utilize structured equation modeling (SEM), all users would ask for their sample size. The paper argues for the formulation of a single barebones minimum standard to be accompanied by a hierarchy of higher quality standards. The paper also offers a specific recommendation for such a barebones standard and ranks quality standards by their sample size cost. In sum, the solution to this problem involves integration: over the multitude of standards, over both single-study and multi-study perspectives, and over a broad array of research environments. Our solution deals with the multitude of solutions. It seeks maximum flexibility to accommodate a multi-study perspective, and it is sensitive to the needs of research settings where sample size is constrained or collection is costly. For these reasons we offer important suggestions and summarize recommendations.