Landslide risk perception survey in Angra dos Reis (Rio de Janeiro,southeastern Brazil): A contribution to support planning of non structural measures

The increasing magnitude and frequency of landslide-related disasters exposes weaknesses in disaster risk reduction (DRR) policy. One of the underlying reasons is that DRR policies tend to focus only on the physical aspects of the problem (i.e. mass movement processes) while neglecting the level of vulnerability of exposed populations to landslide threats, which affects the types and magnitude of adverse consequences. This neglect is a typical symptom of the remoteness that can exist between public administrators and local communities and undermines the implementation of participatory risk management. Certain dimensions of vulnerability depend on how communities relate to the issue of disasters based on their intuitive or rational judgment, i.e. their perception of risk. This paper seeks to shed light on the need for an understanding of risk perception based on the findings from a survey of residents in the city of Angra dos Reis, Rio de Janeiro, Brazil, to be taken into account in aiming at a more efficient landslide risk management policy. The survey was carried out through semi-structured face-to-face interviews with residents of three typical hillside communities in this municipality. In general, the study found that residents will often weigh landslide risks against other threats and opportunities existing where they live. It also found that community members find it difficult to see themselves as agents of change in the environment where they live and in mitigating landslide risks, and that better communication is needed between the government agencies involved in risk management and local residents.     

Keep up with the winners: Experimental evidence on risk taking,asset integration,and peer effects

The paper reports the result of an experimental game on asset integration and risk taking. We find some evidence that winnings in earlier rounds affect risk taking in subsequent rounds, but no evidence that real life wealth outside the experiment affects risk taking. Controlling for past winnings, participants receiving a low endowment in a round engage in more risk taking. We test a ‘keeping-up-with-the-Joneses’ hypothesis and find that subjects seek to keep up with winners, though not necessarily with average earnings. Overall, the evidence suggests that risk taking tracks a reference point affected by social comparisons.     

The impact of four CSR dimensions on a gaming company’s image and customers’ revisit intentions

The purpose of this study is to investigate whether perceptions of corporate social responsibility (CSR) initiatives affect casino customers’ corporate image as well as the customers’ behavioral intentions (i.e., revisit intentions), through the lens of Carroll’s corporate social performance model, stakeholder theory, and legitimacy theory. This study also examines the mediating effect of corporate image on the relationship between perceived CSR and behavioral intentions. An onsite survey was conducted with 596 casino customers in South Korea. The results revealed that ethical CSR had the strongest impact on corporate image, followed by economic and philanthropic CSR. Only philanthropic CSR had a significant and direct effect on behavioral intentions. Corporate image mediated the relationship between three types of CSR (ethical, economic, and philanthropic) and behavioral intentions. Companies can benefit from these findings by understanding how specific CSR initiatives can enhance corporate image and increase customer retention. This study advances the emerging field of CSR in the gaming industry.     

Customer engagement with tourism social media brands

In tourism, customer engagement has been found to boost loyalty, trust and brand evaluations. Customer engagement is facilitated by social media, but neither of these phenomena is well-researched in tourism. This research contributes in two ways. First, we validate the Customer Engagement with Tourism Brands (CETB) 25-item scale proposed by So, King & Sparks (2014) in a social media context, and offer an alternative three-factor 11-item version of the scale. Second, we replicate their proposed structural model, and test our alternative model, to predict the behavioural intention of loyalty from engagement, and to test customer involvement as an antecedent to engagement. Ultimately, we propose a customer engagement scale and a nomological framework for customer engagement, both of which can be applied in both tourism and non-tourism contexts. Managers of tourism brands on social to better assess the nature of customer engagement with the parsimonious 11-item scale.     

Understanding consumption in social virtual worlds: A sensemaking perspective on the consumption of virtual goods

Virtual consumption involves consuming virtual goods in cyberspace. Virtual consumption activities are evolving into an essential activity in social virtual worlds. Despite the growing importance of this activity, little research examines this phenomenon. The current study investigates the fundamental question of how users understand the consumption of virtual goods. Using the theory of social representations and core-periphery analysis, this study elicits and analyzes the social representation of virtual consumption. Study participants are 154 Second Life users. Results identify 32 concepts and relationships representing the collective perceptions of virtual consumption in this social virtual world. Social representation map interpretations point to several key themes that provide a foundation for future investigations of virtual economy consumption behavior.     

How do stakeholder interactions influence national food security policy in the Caribbean? The case of Saint Lucia

Increasingly, multi-stakeholder processes have been recognized as being necessary to the development of public policies seeking to promote systemic innovation in response to complex and multidimensional challenges, such as household food security, rural development, and environmental change. Saint Lucia, a small island developing state located in the Caribbean, has been grappling with a wide range of agriculture, food and nutrition security challenges with varying degrees of policy success. Recognizing the significance of the challenge, this paper explores the nature of the stakeholder interactions surrounding the development of Saint Lucia’s 2009–2015 National Agricultural Policy and considers some of the implications for food and agriculture-related policy outcomes. Results reveal a general lack of supportive conditions for effective multi-stakeholder processes, including low stakeholder participation levels, conflicting roles of different forms of social capital in the interactions between stakeholders, and missing “boundary” organizations capable of facilitating a transition towards more flexible and adaptive institutions, enhanced knowledge exchange and learning, and greater trust among stakeholders in the policy network. Future avenues for research and development are subsequently identified.     

The impact of the social servicescape,density, and restaurant type on perceptions of interpersonal service quality

The purpose of this study was to investigate how density in the servicescape affects the three interpersonal dimensions of Stevens et al., (1995) DINESERV conceptualization of service quality (responsiveness, assurance, and empathy) across various restaurant types. Using the framework of information processing theory, it was predicted that when a customer uses density to evaluate anticipated service quality, the information processing style will vary depending on the restaurant context. For fine dining restaurants and sports bars, it was predicted that customers will use heuristic processing, but would use systematic processing when evaluating a family casual restaurant. A 3 (contextual service norms) × 2 (built density) × 2 (human density) between subjects factorial design was employed. The results identified a three-way interaction between human density, built density, and restaurant type, suggesting that the type of restaurant does indeed matter when considering how density impacts potential customers’ perceptions of a restaurant.     

Applying LSA text mining technique in envisioning social impacts of emerging technologies: The case of drone technology

This research proposes a novel method of identifying and understanding the holistic overview of emerging technologies’ unintended consequences. Latent Semantic Analysis (LSA) text mining technique is employed to yield multiple groups of contextually similar terms from future-oriented data sources, comprising both experts’ and the public's concerns regarding future technologies. Resulting term clusters are considered as new abstractions, or so-called scenarios, of future social impacts. Furthermore, the study acquires greater depth and breadth in conceptualizing social impacts through considering condition- and value-related terms as key linking factors to previous social impact-related literature. Our proposed methodology seeks to gain insights into the utilization of future-oriented data sources for the foresight activity, hoping to mitigate public skepticism and pursue a better social acceptance of emerging technologies.     

Socio-economic and biophysical determinants of land degradation in Vietnam: An integrated causal analysis at the national level

Recognizing the socio-economic and biophysical causes of land degradation at the national level is important for cause-targeted strategies when designing policies for combating land degradation. This study aims to identify the biophysical and socio-economic factors that significantly affect land degradation across Vietnam and to interpret the causalities underlying the effects. The dependent variables considered in the study are spatial, the extent and intensity of degradation in three land-use zones (agriculture, forest and severely degraded abandonment). The hypothesized explanatory variables are common economic and demographic drivers and bio-physical factors such as soil, terrain constraints, and neighborhood land-use structures that are often neglected in many large-scale land degradation assessments. Instead of using a single inferential statistic technique, we used multi-linear regression and binary logistic regression in a complementary manner to increase the detectability and credibility of the degradation cause analyses. The results showed agricultural production growth had strong and consistent effects on land degradation extent and intensity. Population growth, especially in rural areas, had a strong effect on the extent of overall land degradation. The importance of a neighboring forest was revealed for its ability to reduce land degradation intensity in abandoned, unproductive lands. The concrete faceting of the causal analysis for each land-use zone as social–ecological stratum allowed us to combine the defined social–ecological contexts, contemporary theories, and hypotheses in the field to clarify the causal factors of a complex phenomenon like land degradation. The study demonstrates these contemporary inferential statistics can be complementarily used to sufficiently detect and understand land degradation causes at the national level. The results suggest implications for national land management policy: internalizing land degradation costs in the farming system evaluation for payment for ecosystem services policy, restricting forest conversion, and improving extension services and education in agrarian communities.     

Does higher government debt link to higher social expenditure? New method,new evidence

Scholars believe that higher social expenditures are usually linked with higher government debts, whereas higher debts reduce social expenditures. However, it is reasonable to speculate that higher government debt may contribute to higher social spending, while fiscal deficits occur during a recession, which commonly creates greater demand for social expenditure. For a deeper investigation, this paper revisits the dynamic relationship between social spending and public debts in the time-frequency domain, using the novel wavelet-coherency analysis as well as the phase-difference technique to derive the co-moved and causal relationships between social spending and public debts in 13 OECD countries. The evidence identifies a dynamic relationship between variables. While higher social expenditures increase government debts, the shocks from government debts to social expenditures are conversely uncertain. We discover that higher government debt does reduce social expenditures, but it may be linked to higher social spending. The robustness of partial coherency and phase-difference discovers the role of a political party in the decision over social welfare programmes in the sample countries.