When will customers care about service failures that happened to strangers? The role of personal similarity and regulatory focus and its implication on service evaluation

This paper examines an interesting research question: how does a service failure that happen to a stranger customer influence an observing customer's service evaluation? Drawing on the defensive attribution theory and regulatory focus theory, we argue that an observing customer will attribute more (vs. less) blame to the company if the customer involved in the undesirable incident is personally similar (vs. not similar) to him/her. These attributions, in turn, will influence the observing customers to form a negative evaluation on service quality of the company. More importantly, a prevention-focused tendency will intensify the negative impact of personal similarity on service evaluation. Results from two experiments confirmed the hypotheses.     

Distributive impact of structural change: Does environmental degradation matter?

Vulnerability to reduction of natural capital depends on defensive substitution possibilities that, in turn, are affected by the availability of other productive factors. However in several developing countries asset distribution tends to be highly skewed. Taking into account these elements, this paper proposes a model considering an economy polarized into two classes (the rich and the poor) and characterized by the following stylized facts: income and productivity of the rural poor is highly dependent on natural resources; labour remuneration in rural sector represents the opportunity cost for wage labour; the rich can partially substitute natural capital with physical capital and wage labour. In this context, agents differ for feed back mechanisms and interactions between their choices of production and environmental dynamics. Moreover environmental depletion may trigger economic transition, but the structural change is likely to result regressive.     

A REVIEW AND COMPARISON OF TESTS OF CROSS-SECTION INDEPENDENCE IN PANELS

Abstract.  In this paper we review and compare diagnostic tests of cross-section independence in the disturbances of panel regression models. We examine tests based on the sample pairwise correlation coefficient or on its transformations, and tests based on the theory of spacings. The ultimate goal is to shed some light on the appropriate use of existing diagnostic tests for cross-equation error correlation. Our discussion is supported by means of a set of Monte Carlo experiments and a small empirical study on health. Results show that tests based on the average of pairwise correlation coefficients work well when the alternative hypothesis is a factor model with non-zero mean loadings. Tests based on spacings are powerful in identifying various forms of strong cross-section dependence, but have low power when they are used to capture spatial correlation.     

The Influences of Institution Attended and Field of Study on Graduates' Starting Salaries

This paper examines the determinants of Australian university graduates' starting salaries, with an emphasis on the institution attended and field of study. It is shown that there is little difference between the starting salaries of students who attended Group of Eight universities and those who attended other universities. There are modest differences in starting salaries across fields of study. However, these differences are considerably less than those associated with the type of employment obtained. These results suggest it is what you do in the labour market, rather than where or what you have studied, that is the main determinant of labour market outcomes.     

Making a first impression as a start-up: Strategies to overcome low initial trust perceptions in digital innovation adoption

High failure rates of digital innovations by start-ups indicate that consumers' initial trust perceptions are make-or-break for their survival. Hence, start-ups have to design adequate business models to manage consumers' initial trust perceptions of digital innovations. Five experiments explore how start-ups can signal trustworthiness in order to overcome low initial trust perceptions and boost adoption. We find three specific design strategies of start-ups' digital business models – customer ratings, benefit communication, and revenue model – to be effective to overcome low initial trust perceptions and to increase adoption of digital innovations. The findings demonstrate that initial trust serves as a critical mediator in the relationship between these design strategies and consumers' adoption intentions. Additionally, the chosen revenue model has differential effects on privacy concerns, which mediate the relationship between revenue model and initial trust. The present empirical insights help start-ups to craft business model design strategies for successful digital innovation launch.     

Industrial coal demand in China: A provincial analysis

The general concern on the environmental implications of the rising demand for coal registered in China during the last few years has induced considerable research effort to produce accurate forecasts of China's energy requirements. Nevertheless, no previous study has modelled the coal demand in China at provincial level. The aim of this paper is twofold. First, we estimate and forecast the Chinese demand for coal using panel data disaggregated by provinces and accounting for spatial heterogeneity. Second, given the spatial nature of the data, we explicitly capture the spatial autocorrelation among provinces using spatial econometrics. In particular, we specify the Chinese industrial coal demand at provincial level with fixed-effect spatial models. The empirical results show that the fixed-effect spatial ADL model is able to capture the existing interdependence between provinces. This model forecasts an average annual increase in coal demand to 2010 of nearly 2%.     

An empirical study of consumer behavior related to private labels and national brand promotions

One day while in the store, Bernard grabs his usual Dominick's cream cheese off the shelf. I notice and point out that the national brand of Philadelphia cream cheese is on sale and less expensive. Bernard looks at the two products and actually hesitates for a while to switch to the national brand. His hesitation makes it clear that his preference is not based solely on price. (Chang Coupland 2005, 115).     

Country-of-Origin Effects on Russian Wine Consumers

In recent years, Russia has experienced significant economic growth. The wine industry is among those most affected by increases in disposable income. As a consequence, Russian wine importers have widened the range at the upper end of the quality spectrum. In the current scenario, some key questions arise concerning consumer attitudes toward wine and the way it is perceived in this evolving market. This article attempts to investigate such concerns through a choice experiment approach conducted by means of a questionnaire-based survey submitted to 388 Russian households located in the country's three largest cities (Moscow, Saint Petersburg, and Novosibirsk). In the experiment, respondents were asked to choose their favorite wine among seven dry red wines. The stated choices are analyzed using a random utility model to obtain an estimation of the price effect through a triangular distribution. Our results indicate the presence of three distinct market segments in the Russian wine market: a segment with only high-quality, highly priced Italian and French wines, a medium-quality segment currently limited to Spanish wines, and a much lower quality segment of wines in which demand for alcohol is essentially satisfied.     

Pricing and hedging illiquid energy derivatives: An application to the JCC index

In this paper a simple strategy for pricing and hedging a swap on the Japanese crude oil cocktail (JCC) index is discussed. The empirical performance of different econometric models is compared in terms of their computed optimal hedge ratios, using monthly data on the JCC over the period January 2000–January 2006. An explanation to how to compute a bid/ask spread and to construct the hedging position for the JCC swap contract with variable oil volume is provided. The swap pricing scheme with backtesting and rolling regression techniques is evaluated. The empirical findings show that the price‐level regression model permits one to compute more precise optimal hedge ratios relative to its competing alternatives. © 2008 Wiley Periodicals, Inc. Jrl Fut Mark 28:464–487, 2008