Three ethical frames of reference: insights into Millennials' ethical judgements and intentions in the workplace

The paper investigates the ethical decisions of Millennials, who are not only part of an expanding cohort of the workforce, but also represent potential future managers with a growing influence on work practices and employment relationships. In the conceptual model, we propose that three ethical frames of reference, represented by perceived organisational ethics, perceived employee ethics and reflective moral attentiveness, antecede ethical judgements, which further influence the ethical intentions of Millennials. Using structural equation modelling, we test the model for three different business ethics scenarios: paying a consulting fee, dumping hazardous waste, and running an offensive advertising campaign. The findings confirm the link between ethical judgements and intentions across the board, while the influence of the ethical frames of reference varies among the scenarios. We propose that the differences in the predictive ability of the ethical frames of reference depend on the nature of the ethical issue, which holds important implications for today's managers in their attempts to encourage ethical behaviour of Millennial employees.     

Examining macroeconomic models through the lens of asset pricing

We develop new methods for representing the asset-pricing implications of stochastic general equilibrium models. We provide asset-pricing counterparts to impulse response functions and the resulting dynamic value decompositions (DVDs). These methods quantify the exposures of macroeconomic cash flows to shocks over alternative investment horizons and the corresponding prices or investors’ compensations. We extend the continuous-time methods developed in Hansen and Scheinkman (2012) and Borovi?ka et al. (2011) by constructing discrete-time, state-dependent, shock-exposure and shock-price elasticities as functions of the investment horizon. Our methods are applicable to economic models that are nonlinear, including models with stochastic volatility.     

Change of U.S.‐Russia relations after the September 11 terrorist attacks

This paper analyzes the changes of U.S.‐Russia relations after September 11. The analysis deals with the issues relating to both military and economic cooperation. In particular, this article focuses on examining the impact of the terrorist attacks on U.S.‐Russian relations. Specifically, the paper discusses the results of the visit of U.S. President Bush to Russia and its impacts on the relations between the two countries. First, the paper analyzes the U.S. position toward Russia under the Bush Administration before the terrorist attacks. Second, it looks at how Russia perceived and took advantage of the terrorist attacks to improve its relations with the United States. Third, it explores the nature of the quasi alliance between the United States and Russia. And finally, it examines the possibilities and limitations of the long‐term cooperation agreement between the U.S. and Russia from an economic and military perspective.     

Modelling perceived quality,visitor satisfaction and behavioural intentions at the destination level

Visitor perceptions of the quality of a tourist destination, satisfaction with their experience and the resulting behavioural intentions are vital for successful destination management and marketing. The purpose of our research is to explore the complex relationships between these constructs using structural equation modelling, whereby both formative and reflective constructs are included. The structural model was tested on a sample of 1056 visitors at four tourist destinations in Slovenia. The empirical validation of the conceptual model supports the research hypotheses. Destination attributes affect the perceived quality of tourist offerings, which positively relates to satisfaction as well as visitors' behavioural intentions. The link between satisfaction and behavioural intentions was also confirmed. These research findings contribute to a better understanding of which behavioural mechanisms and factors represent a viable basis for increasing customer retention at the level of individual providers as well as a destination as a whole.     

Service firms and customer loyalty programs: a regulatory fit perspective of reward preferences in a health club setting

In this paper, we examine the impact of various configurations of regulatory fit on the attitudes, exercise intentions and actual behavior of members of a health club loyalty program. Regulatory fit is conceptualized as both the match between types of program rewards and how they are communicated, as well as the congruence between reward types and regulatory focus as a stable, individual disposition. In two experimental designs, non-point reward programs offering a short-term cash bonus were used. The results of Study 1 suggest that regulatory fit has a positive impact on perceived value, exercise intentions and exercise intensity, but not on visit frequency. Analysis of repeated behavioral measures further reveals that regulatory fit has a stronger impact on exercise intensity over time relative to nonfit. Study 2 also confirms the predictive power of regulatory fit over nonfit when conceptualized as the match between reward type and trait regulatory focus.     

The view from above: the relevance of shared aerial drone videos for destination marketing

ABSTRACT

The use of drones to produce videos has generated a large amount of visually appealing footage of various destinations. They attract much attention, but there are issues that affect their production, and their relevance to destination marketing. This research examines YouTube meta-data and spatial overlay analysis of shared aerial drone videos from the United Kingdom (UK). The results suggest that shared aerial drone videos have some unique user-generated content (UGC) characteristics and their spatial distribution tends to favor more populated areas. Theoretical and practical implications for destination marketing are further discussed.     

Bass model estimates for broadband diffusion in European countries

The paper presents a broadband diffusion analysis for European OECD member countries. The Bass diffusion model is used to estimate the total number of potential adopters, the coefficient of innovation and the coefficient of imitation. The analysis shows that if the present trends continue broadband services will not reach the 100% penetration rate in the near future. Based on these findings, the question of a possible revitalization is discussed with a focus on those segments of the population which are slower to adopt broadband. A survey of households in rural areas provides preliminary investigation of reasons for continuing non-adoption, such as social habits and lack of both knowledge and interest.     

Learning from Trade through Innovation

This paper explores the idea that firms learn from trade by introducing either new products or processes influenced by their trade links with foreign markets. By exploring microdata for Spain, including data on innovation and trade, we find a robust relationship between imports, exports and innovation. The results suggest that firms learn primarily from import links, which enable them to innovate and to ‘dress up’ for starting to export. This sequencing between trade and innovation, however, is shown to be more pronounced for small firms only and technologically advanced firms.