Dominance Statistics: A Simulation Study on the d Statistic

Quality &; Quantity - Cliff (1993) has proposed the use of a measure of effect size alternative to traditionalmean differences: δ {? = Pr(xi1 &;gt; xj2) - Pr(xi1 &;lt; xj2)}which,...     

Finding Closest Targets in Non-Oriented DEA Models: The Case of Convex and Non-Convex Technologies

This paper draws attention for the fact that traditional Data Envelopment Analysis (DEA) models do not provide the closest possible targets (or peers) to inefficient units, and presents a procedure to obtain such targets.It focuses on non-oriented efficiency measures (which assume that production units are able to control, and thus change, inputs and outputs simultaneously) both measured in relation to a Free Disposal Hull (FDH) technology and in relation to a convex technology. The approaches developed for finding close targets are applied to a sample of Portuguese bank branches.     

Collaborative Decision-Making in Non-formal Planning Settings

Planning initiatives outside the formal planning system can constitute a favourable environment for implementing and analysing collaborative decision-making processes. The conceptualisation of the decision-making context in the light of the Policy Network analysis helps to better understand the underlining conditions, as well as their influence in the outcomes. In the case under analysis, were the decision-making conditions were of co-responsibility and power-sharing, the challenge has been to warrant the effectiveness of the decisions, which lies, as is argued, in the reliability of the framework for decision-making and in the ability to translate the collaborative participation outputs into actions at different time-frames. Moreover, as the case-study deals with strategic spatial planning, a future oriented approach is needed to warrant the flexibility and robustness of the plan in addressing the uncertainty associated with long term objectives. Those are the critical issues to be handled in the multi-criteria analysis (MCA) framework which sustains the analytical hierarchy process (AHP) that was used to support the decision-making process.     

More on the role of switching costs in service markets: A research note

The present paper focuses on several important and under-researched issues related to switching costs (SC) as a defensive marketing tool in retaining customers with complaint handling. While most previous research analyzed the effects of SC on the behavioral intent of customers, our findings have focused on the actual behavior of bank customers; that is, staying with or leaving the bank to which they had complained previously. The findings show that, of the six potential facets of SC, only two significantly affect the actual behavior of complainants, one directly (i.e., Continuity Costs) and the other as a moderator (i.e., Learning Costs). Likewise, a customer's evaluation of the complaint handling affects behavior directly.     

Affective predictors of the effectiveness of training moderated by the cognitive complexity of expected competencies

Research in training, development and education (TD&E) in organizations has produced important results in the last two decades. Evaluation of TD&E has been a special focus of this research, which has resulted in the production of relevant predictive models. The present study has the aim of testing a model of effectiveness of training on work, with the trainee's motivation and satisfaction with training as the antecedent variables and the type of training as a moderator variable. Data collection with 600 participants in a Brazilian bank was conducted with measurement scales before training, at its end and three months later. The data were analyzed through structural equation modeling. The results indicate that the motivation of the trainee and satisfaction with training are predictors of its effectiveness on work and that the type of training affects this predictive relationship. The key feature of the type of training was the cognitive complexity of expected competencies.     

Model Analysis of the Relationship Between Strategic Organization Knowledge and the Use of Information Systems in Firm Performance in Brazil

Information Technology （IT） consolidates as an essential element to support the business strategies to survive and rapidly adapts to changes in the competitive environment. This paper examines the impact of the use of information systems （IS） and strategic organization knowledge （SOK） on firm performance in 150 Brazilian companies. The study uses partial least squares structural equation modeling （PLS-SEM） and establishes models to express the relationship among the constructs examined. The study identifies that the direct influence of 1S use on performance is moderately significant. However, when mediated by orientation strategy, the total effect of IS use on firm performance is demonstrated to be highly significant. The model explains 54% of the variability of firm performance and confirms IS use as a fundamental resource to support strategic business processes.     

Revisiting low price guarantees: Does consumer versus retailer governance matter?

Retailers often use low price guarantees (LPG) as a signal to attract consumers and increase sales. Consumers interpret LPGs as a signal that a particular retailer is committed to low prices. However, if more and more retailers employ LPGs, their effectiveness as a price signal wears off. As a result, retailers adapt increasingly extreme guarantees to get an advantage over the competition. Retailers, for instance, are experimenting with taking on the responsibility of looking for lower prices and automatically refunding consumers when a competitor offers a lower price for the same product. This research shows that automatic price protection of this sort might backfire under certain conditions. Three studies show that LPGs alone are not enough to signal low prices and that retailers combining large refunds with a retailer-enforced LPG obtain less favorable reactions than those implementing other types of LPGs.     

Running for pleasure or performance? How store attributes and hedonic product value influence consumer satisfaction

Previous retailing studies have linked consumer satisfaction to perceived hedonic or utilitarian product value. This research extends previous studies by examining how the context in which the product is purchased (store attributes) and product value influence consumer satisfaction. We conducted a field study with 213 consumers attending two major running events. The findings from structural equation modelling suggest that a specific combination of store attributes (tangible and intangible) and hedonic product value has a positive influence on satisfaction. Results also show that tangible store attributes have a stronger positive impact on utilitarian (vs. hedonic) product value, and that intangible store attributes have a positive impact on hedonic product value. However, we found that only hedonic product value has a positive impact on satisfaction. This research contributes to theory by showing that a match between store attributes (tangible and intangible) and hedonic product value can positively influence satisfaction. In managerial terms, the findings provide insights on how to improve consumer satisfaction in retail environments through store attributes and hedonic product value.     

Abnormal returns before acquisition announcements: evidence from Europe

Acquisition announcements influence the stock price of target firms, providing an opportunity for insiders to obtain significant abnormal returns. We study the presence of positive abnormal returns before the announcement date, in target firms, quoted in Euronext markets (Belgium, France, The Netherlands and Portugal) from 2001 to 2007. We investigate whether the pre-announcement run-up of prices can be explained by rumours in the media and the percentage of capital previously owned by the bidding firm, among other factors. We examine cumulative abnormal returns in an event window of 60 days prior the acquisition announcement, with the event date adjusted for the previous disclosure of news about the acquisition, in the media. We compute a run-up index, and find that there are abnormal positive returns before the announcement date, confirming previous studies. We find that a significant part of the run-up is explained by: (i) market anticipation triggered by legitimate sources of information, namely, rumours in the media about the possibility of an acquisition bid and (ii) the percentage of capital previously owned in the target firm, by the bidding firm.