Helping behavior in a virtual crisis situation: effects of safety awareness and crisis communication

Incident evaluations show that bystanders tend to help: they do not wait for professionals to arrive, but act as required by the situation at hand. In the present study, we investigated how safety awareness (induced before an accident happened) and providing a course of action by emergency services affect helping behavior after witnessing a virtual accident with two victims. The main task of the participants was to arrive at a job interview in time. Safety awareness was manipulated by the specific organization they went to: either promoting safe traffic or healthy living. The results show that all participants were inclined to help. Participants who were primed towards safe traffic more often called the emergency number, but talked to the victim less often. Participants who had received specific courses of action moved the victim less often. In all, the results clearly indicate the value of effective risk communication (before an event occurs) and crisis communication (after an event has occurred), as both types of information improve the quality of actual helping behavior at the scene.     

Exploring the customer's intention to switch firms: The role of customer‐related antecedents

This study examined the customer‐related antecedents of the customer's intention to switch firms. Customer citizenship behavior was a key element in this study. Scholars have extensively studied the antecedents of customer citizenship behavior. However, the way that customer citizenship behavior relates to other attitudinal variables and the intention to switch has scarcely been analyzed. The proposed hypotheses were verified using partial least squares variance‐based structural equation modeling applied to 947 users of beauty care service firms in five countries. The results suggest that customer citizenship behavior is an antecedent of satisfaction, trust, and attitudinal loyalty. Two of these variables influence customers’ intentions to abandon relationships with the service provider. The implications of these findings enhance managers’ and scholars’ understanding of the determinants of customers’ intentions to switch firms.     

How second-generation consumers choose where to shop: A cross-cultural semiotic analysis

Using ethnographic interviews and Greimasian semiotics, this study explores second-generation ethnic consumers’ perceptions of physical shopping environments from a cultural identity perspective. It reveals how second-generation ethnic consumers make decisions about where to shop for cosmetics. The key results reveal the identity dimensions of shopping behaviour that retail stores wanting to target second-generation ethnic consumers must take into consideration.     

Remittances and incumbency: Theory and evidence

By raising household income, remittances lower the marginal utility of targeted electoral transfers, thus weakening the efficacy of vote buying. Yet, remittances make individuals wealthier and believe the national economy is performing well, which is positively attributed to the incumbent. Building on these insights, I show that the confluence of these divergent channels generate a surprising result that at increasingly higher levels of dissatisfaction with the incumbent, a remittance recipient is more likely to vote for the incumbent than a non‐remittance recipient. These predictions and their underlying mechanisms are substantiated across 18 Latin American countries.     

Creating competitive advantage: Linking perspectives of organization learning,innovation behavior and intellectual capital

Drawing on learning theories and the intellectual capital (IC) theory, organizational learning research has discussed the benefits of searching for market opportunities and maintaining a competitive advantage in dynamic environments. To explain organizational performance and survival, the previous literature has focused mainly on what organizations do, but it has failed to address how and what they should do. This study argues that if hotel management is open-minded about exploratory and exploitative learning, it can open the door to capturing opportunity and competitive advantage through increased innovation behavior and human capital accumulation. Further, IC theory has also confirmed that social capital and relational capital will strengthen the relationship between innovation behavior and human capital. This study analyzes data from 595 hotel managers and finds strong support for the proposed hypotheses.     

A Gendered Model of the Peasant Household: Time poverty and Farm Production in Rural Mozambique

Using insights from a case study on the allocation of labor in subsistence households in Mozambique, this study develops a conceptual framework for examining linkages between time poverty and farm production. An unexpected event such as a health crisis increases the demand for labor provided by women, thus making them more time poor. The model and numerical simulations show that a deterioration in a woman's time constraint will have an adverse effect on agricultural output of the household. This occurs because most women respond to an increase in household work by reducing their work hours on the farm and by reducing their leisure time. The latter outcome is expected to have a negative effect on women's physical and mental health, which will then cause a decline in their productivity on the farm.     

Following brands on Twitter: an extension of theory of planned behavior

Due to its immediacy and efficiency, Twitter has recently emerged as a form of marketing communication tool that offers unique advantages for two-way communication between marketers and consumers. This study examines brand-following behavior on Twitter using the Ajzen's model of theory of planned behavior (TPB). Results show that attitude toward brand following, subjective norm, perceived behavioral control, and brand attachment are positively associated with intention to follow brands on Twitter. Consumers’ intention to create (i.e., intention to tweet at brands) and disseminate (i.e., intention to retweet the links of brands) brand-related information, as well as purchase intention, are the outcomes of intention to follow brands on Twitter. Overall findings suggest that TPB model can be used to predict Twitter users’ brand-following behavior. More importantly, our finding that brand attachment drives consumer intention to follow brands on Twitter extends the TPB framework. This study provides both theoretical and managerial implications.     

Factors affecting donations in U.S. retail stores: A conceptual framework

The purpose of this study is to identify the factors that influence consumer donations in U.S. retail stores. The study provides a conceptual framework of factors derived from the cause-related marketing, consumer behavior and psychology literatures. These factors are categorized as consumer-related factors, retailer-related factors and context-related factors. Consumer-related factors include consumer-retailer identification, consumer-cause affinity, impure altruism, civic engagement and post-purchase cognitive dissonance. Retailer-related factors consist of retailer-cause fit, retailer's commitment to the cause, retailer image as being altruistic, and retailer credibility. Context-related factors include time pressure, social pressure, shopping amount, and perceived savings during the shopping trip. This conceptual framework serves as a foundation for future empirical studies.     

Stochastic seat allocation models for passenger rail transportation under customer choice

We study the seat allocation problem for passenger rail revenue management, in which a rail operator attempts to determine the optimal quantity of seats to be allocated to each cabin class for each train service. We formulate the problem with single-stage and multi-stage decisions as two stochastic programming models that incorporate passengers’ choice behavior. We transform the stochastic models into equivalent deterministic mathematical programs that are easy to solve. Then, we form a variety of seat allocation polices from the optimal solutions to the seat allocation models. A number of simulation tests are offered to test the policies.