Be bad but (still) look good: Can controversial industries enhance corporate reputation through CSR initiatives?

Even though the link between perceived corporate social responsibility fit (PCSR‐fit) and corporate reputation has received much attention from scholars, this tradition has ignored that the underpinnings of this association vary depending on the particular characteristics of each industry under study. To delve into this matter, we investigate in the increasingly relevant context of controversial industries (CIs) how PCSR‐fit could enhance corporate reputation and which are the mediating mechanisms of this association. Our academic contribution is twofold. First, we find that controversial sectors indeed can increase corporate reputation through CSR activities. However, we find that to achieve this goal, the nature of PCSR‐fit should be different than what extant literature indicates, because companies in these settings should directly focus on avoiding or reducing their inherent controversial harm or impact. Second, we evidence that “CSR initiatives' legitimacy” and “situational skepticism” mediate the PCSR‐fit and corporate reputation relationship in CIs. Therefore, we further unravel the underpinnings of this association to advance what we know on the matter and aid practitioners in this particular context.     

Police-Monitored Cameras and Crime*

We study the effects of police monitoring on crime. We exploit detailed information on the location and date of installation of police-monitored surveillance cameras, coupled with data at the street-segment level on all reported crimes in the city of Montevideo, Uruguay. We find that the introduction of police-monitored surveillance cameras reduces crime by about 20 percent in monitored areas relative to a pure control group located outside the city. We also explore potential displacement effects, and we do not find evidence of such effects.     

Policies to increase business tourism income: A dynamic panel data model

This article aims to identify the determinants that influence business tourism income and that may be controlled by economic agents and policy makers of destination countries. For the development of the empirical study, a dynamic panel model by the Generalized Method of Moments (GMM) was estimated using the Gretl 2016a software, and a sample of 122 countries for the period 2002–2013 (12 years) was used. The study reveals that, for the development of policies to stimulate the growth in the short and long-term of business tourism income, countries should develop measures that encourage capital investment in tourism and foreign direct investment.     

Co-creation with clients of hotel services: the moderating role of top management support

Hotels can strengthen their competitiveness by expanding their innovation process beyond the boundaries of the firm to exploit the valuable knowledge and skills of their customers. This study examines the effects of new service (NS) co-creation with customers in the hotel industry on NS performance, as well as the moderating role of top management support. The research also explores the main barriers faced by hotels to co-create service innovations. Partial least squares structural equation modelling results indicate that Customer co-creation exerts a direct impact on NS market outcomes and NS development (NSD) speed, which in turn favours NS quality. NS quality translates into better NS customer-related outcomes as well as in improved NS market outcomes. Top management support enhances the effect of Customer co-creation on the NSD speed. The main barrier to NS co-creation in hotels is to find customers interested in devoting time to this activity or with the appropriate knowledge and experience.     

Identifying cycling-inducing neighborhoods: A latent class approach

Understanding how spatial attributes of cities and neighborhoods induce cycling is relevant for urban planning and policy making. In this work, ordered logit and latent class models are specified and estimated to analyze how the built environment affects bicycle-commuting frequency. Data come from a survey to 1,487 people in the city of Santiago, Chile, including sociodemographic information, travel behavior patterns and place of residence and work. Using geographic information systems tools, the built environment was characterized with variables calculated for a 500-m-radius buffer around the residential and work locations of each individual. Two models are estimated, first an ordered logit model confirms that built environment variables effect on cycling is similar to what has been reported in the literature, with some new findings such as an increase in cycling when public transport accessibility is low and the role of built environment attributes at the destination. Second, a latent class ordered logit is used to identify two classes of neighborhood in term of their cycling patterns, as a function of their density, presence of cycling infrastructure and distance to the main activity center of the city. This result allows to map the class membership probabilities, potentially helping to identify neighborhoods that encourage cycling and providing relevant information for policy making and infrastructure decisions.     

The influence of entrepreneurs’ social referents on start-up size

This paper uses social comparison theory to explore the effect that the average size of established businesses at the regional (provincial) level may have on start-up size. It is argued that established entrepreneurs at the regional level become referents of new entrepreneurs, influencing not only the decision to become entrepreneurs but also the characteristics of the new venture, such as its initial size. Specifically, the greater the average size of established businesses at the provincial level, the bigger the start-up size of new ventures. This paper further considers how this effect is moderated by two key individual level variables: knowing an entrepreneur personally (i.e., close social referent), and being the owner and manager of an existing business (i.e., past entrepreneurial and managerial experience). Predictions are tested using data that combine individual- and provincial-level information in Spain over the period 2008–2014. The results show the positive relationship of the average size of established businesses on new venture start-up size, and that this effect decreases when the entrepreneurs have previous entrepreneurial experience.     

When is escalation of commitment unstoppable in group settings? An iterative economic modeling approach to unveil the dark side of group decision-making

Escalation of commitment (EOC) has been usually studied from a psychological lens, and only recently have scholars approached EOC from an economic perspective. We contribute to this by focusing on iterative decision-making in group settings with a game theory approach. We study how the group members' strategic interaction may result in continuing failing courses of action. Drawing on the Byzantine generals' problem, our model considers an iterative decision-making process where committee participants vote based on private information to escalate or not. Our article demonstrates that if decision-makers reset their beliefs based on the committee's previous decision, then EOC becomes perpetual.     

Trump’s New Trade Tariffs: A Response to Voters’ Demands?

President Trump has dramatically changed U.S. trade policy through the adoption of steep tariffs. We argue in this article that even when there are significant geopolitical reasons, Trump’s actions on trade are a response to internal demands resonant with a long history of protectionism. We provide clear evidence of the impacts of social demographics on U.S. trade policy and show that individuals from capital-intense regions with high educational attainment tend to support protectionism.