Does involvement matter in online shopping satisfaction and trust?

Consumer involvement in online shopping can play a moderating role when explaining Web site effect on satisfaction and trust. This study proposes a set of hypotheses based on the Elaboration Likelihood Model (ELM) of persuasion, a conceptual model that explains the formation of individual attitudes that are prompted by central and peripheral cues. The model proposes the use of central signals when the buyer is highly involved and peripheral signals when the buyer is less involved. Nevertheless, the results of this study would suggest that these relationships are not so clearly defined in the case of online buying, which implies that certain assumptions associated with the ELM need to be revised to take the particularities of the online context into account. © 2011 Wiley Periodicals, Inc.     

Minimum Living Level and Consumer Price Index: What's in a name?

The Minimum Living Level (MLL) denotes the minimum financial requirements of members of a household to maintain an acceptable living standard, which is above the Poverty Line. Sufficient quantities of relevant expenditure items based on minimum health standards are allowed for when calculating the MLL, but rational expenditure on them is assumed. The MLL is measured in monetary value. The Consumer Price Index (CPI) is a measurement of changes in the prices over time of a basket of typical consumer goods and services and is measured by an index or percentage. The basket of expenditure items used in the CPI depends on household expenditure surveys. This article sets out to differentiate between the MLL, CPI and the Poverty Line, since the latter and the MLL are sometimes used in the same context in South Africa.     

More than just national cultural distance: Testing new distance scales on FDI in Slovakia

Over the past decade, numerous calls have been made within the international business literature for a broader conceptualization and measurement of non-geographic forms distance amongst countries. One promising response to this call has been a set of psychic distance stimuli scales put forward by Dow, D., & Karunaratna, A. (2006). Developing a multidimensional instrument to measure psychic distance stimuli. Journal of International Business Studies, 37(5), 575–577. However, to date, these new scales have only been tested in one very limited setting – predicting bi-lateral trade flows. This paper extends the generalizability of the Dow and Karunaratna scales by testing their criterion-related validity with respect to three specific foreign direct investment (FDI) issues: predicting market selection, entry mode choice and performance. The results indicate that the Dow and Karunaratna scales are significantly stronger predictors of market selection and FDI performance than the traditional Kogut and Singh index; and that researchers should go beyond using national cultural distance as their sole measure of distance amongst countries. The results for predicting entry mode choice are more ambiguous; however, the authors argue that the ambiguity may reflect the inadequacies of the classic TCE-based approach to predicting entry mode, rather than shortcomings in the measurement of the distance construct.     

The impact of German-speaking online media on tourist arrivals in popular tourist destinations for Europeans

This empirical study analyzes the relationship between the sentiments in online media with regard to travel destinations and corresponding tourist arrivals. We expect the media reports on political and economic instability and turmoil to enhance tourist arrival nowcasts and forecasts, as they can probably complement them with information on disruptions and shocks. Therefore, we believe this research will help to build better models for tourism demand nowcasting and forecasting. We use the sentiment in the German-speaking online media because the German-speaking region is the most populated in Europe and has the largest group of travelers visiting destinations in and around Europe.

An artificial neural network is used to analyze the mood of the media. The software classifies news items regarding potential tourist destinations with either positive or negative labels. The number of positive and negative news items is used to build sentiment indices for popular tourist destinations for Europeans.

Our results show strong correlations between the mood concerning tourist destinations and tourist arrivals in these countries. Indeed, disruptions and shocks prevalent in the news are reflected in similar ratios in both tourist arrivals and sentiment indices. These results can be used as a new explanatory variable for tourism demand modelling.     

The influence of variability and strategy of service supply chains on performance

This paper aims to empirically examine how customer-induced variability, process variability, supply chain strategy, and business performance interrelate in a service firm context. Quantitative data were collected via a questionnaire-based survey. A total of 376 organizations responded and 313 responses were usable. This represents an adjusted response rate of 10.43 %. The survey results were analyzed by factor analysis, ANOVA, and regression models. The results provided the basis for testing the proposed model. They indicated a positive association between customer-induced variability and process variability. Since firms have different levels of variability, each firm will have a different strategic focus. The emphasis of that strategy will, in turn, result in greater flexibility and customer satisfaction. More specifically, firms with high and low levels of variabilities are suggested to focus on the cost- and flexibility-oriented strategies, respectively.     

Segmentation by benefits sought: the case of rural tourism in Madeira

Rural tourism has been promoted as an effective catalyst for growth in rural areas severely hit by the rural structuring process. However, with regard to islands, rural tourism has been mainly advertised and promoted as a counterpoint to mass tourism. While in most Western countries rural tourism has been in place for decades, islands have been pursuing a rural tourism agenda only since the 1990s. Consequently, we face a dearth of research regarding motivation factors that attract tourists to the rural hinterland on islands. The purpose of this study is to segment and profile rural tourists based on benefits sought in order to gain a better understanding of the current demand trends. The data collection procedure were based on a self-administered survey applied to a sample of 180 tourists, and four clusters were identified. The relaxer cluster which comprises individuals attracted by opportunities to relax and recharge batteries, are the most dominant, suggesting that the sector mimics, to a large extent, the main tourism market. This is a problematic outcome because the sector is failing to attract a more diverse and wealthy clientele. Due attention should also be paid to other clusters. The ruralist segment values relaxation in natural segments to escape from daily routine, the ‘want it all segment’ is composed of tourists interested in all kind of activities and the family-oriented cluster is mainly interested in socialising with the family. Implications of our preliminary conclusions for theory and practice are discussed.     

Respondent uncertainty in a contingent market for carbon offsets

The main objective of this paper is to provide additional empirical evidence of what explains respondent uncertainty in contingent valuation (CV) and how this in turn affects stated willingness to pay (WTP). Air travelers asked to pay a carbon travel tax to offset carbon emissions from flying were asked how likely it is that they will actually pay if the tax is voluntary. When changing the market compliance imperative from a mandatory carbon tax to a voluntary contribution, a third of all air travelers consider it unlikely they will actually pay their stated WTP amount. An ordered probit estimation approach is applied to identify the sources of respondent uncertainty. Besides the bid price, respondent sense of responsibility and belief in the effectiveness of the voluntary carbon market are among the main reasons for the experienced uncertainty.     

Groups of companies in the Recast European Insolvency Regulation: Around and about the “group”

Regulation (EU) 2015/848 (Recast European Insolvency Regulation/Recast EIR) contains a set of articles dedicated to the insolvency proceedings relative to members of groups of companies. No substantial consolidation or any procedural nature is envisaged. Article 2(13) of Regulation 2015/848 clarifies that, for the purposes of the same, a “group of companies” must be understood as “a parent undertaking and all its subsidiary undertakings.” However, many doubts arise when one goes deeper into that definition. The author deals with some of those problems and gives some suggestions to overcome them.     

Measuring financial risks with copulas

This paper is concerned with the statistical modeling of the dependence structure of multivariate financial data using the concept of copulas. We select some special copulas and identify the type of dependency captured by each one. We fit copulas to daily returns and simulate from the fitted models. We compare the effect of the choice of copula on risk measures and assess the variability of one-step-ahead predictions of portfolio losses. We analyze extreme scenarios and fit extreme value copulas to the block maxima and minima from daily returns. The stress scenarios constructed are compared to those obtained using models from the extreme value theory. We illustrate the usefulness of the copula approach using two stock market indexes.     

The Dynamics of Productivity: A Decompostion Approach Using Distribution Functions

In this paper we use a micro panel data set of Spanish manufacturing firms to measure the contributions of continuing firms and turnover to total factor productivity growth over the period 1990–1997. The paper proposes an approach to the decomposition of productivity growth that is based on the estimation of productivity distributions. We characterize the dynamics of productivity distributions defining counterfactual distributions and using non-parametric methods. The results we obtain indicate that incumbent firms are the main factor contributing to the change in the productivity distribution. Net entry contributes positively to TFP growth. Finally, changes in the relative weights of incumbent, entering and exiting firms produce a counter-cyclical movement of productivity.