Brand Information Mitigating Negative Shocks on Animal Welfare: Is It More Effective to “Distract†Consumers or Make Them Aware?

To create and sustain a competitive advantage in markets that increasingly value animal welfare attributes, meat companies need to meet public and private production standards while communicating to final consumers through their brands. Data are collected from a representative sample of 460 U.S. residents through an on-line experiment on McDonald’s chicken breast sandwiches and analyzed with Latent Growth Modeling. This study assesses which content of positive brand information effectively mitigates the risk of negative information shocks on animal welfare. On average, brand information has the same positive impact on consumers’ beliefs and attitudes, regardless of whether it is related or unrelated to animal welfare. However, there is strong market segmentation in terms of consumers’ response when exposed to brand information, suggesting that brand managers would benefit from tailoring brand information according to consumers’ age, education, gender and income.animal welfare, brand, information, consumer behavior, multivariate statistics, Agribusiness, Livestock Production/Industries, Q1,

A Configurable Matchmaking Framework for Electronic Marketplaces

E-marketplaces constitute a major enabler of B2B and B2C e-commerce activities. This paper proposes a framework for one of the central activities of e-marketplaces: matchmaking of trading intentions lodged by market participants. The framework identifies a core set of concepts and functions that are common to all types of marketplaces and can serve as the basis for describing the distinct styles of matchmaking employed within various market mechanisms. A prototype implementation of the framework based on Web services technology is presented, illustrating its ability to be dynamically configured to meet specific market needs and its potential to serve as a foundation for more fully fledged e-marketplace frameworks

Modelling and testing consumer trust dimensions in e-commerce

Prior research has found trust to play a significant role in shaping purchase intentions of a consumer. However there has been limited research where consumer trust dimensions have been empirically defined and tested. In this paper we empirically test a path model such that Internet vendors would have adequate solutions to increase trust. The path model presented in this paper measures the three main dimensions of trust, i.e. competence, integrity, and benevolence. And assesses the influence of overall trust of consumers. The paper also analyses how various sources of trust, i.e. consumer characteristics, firm characteristic, website infrastructure and interactions with consumers, influence dimensions of trust. The model is tested using 365 valid responses. Findings suggest that consumers with high overall trust demonstrate a higher intention to purchase online

Psycho-social factors influencing forest conservation intentions on the agricultural frontier

Remnant forest fragments are critical to conserve biological diversity yet these are lost rapidly in areas under agricultural expansion. Conservation planning and policy require a deeper understanding of the psycho-social factors influencing landholders’ intentions towards conserving forest fragments. We surveyed 89 landholders in an agricultural frontier of the South American Gran Chaco and employed survey data to test three social psychological models: the Theory of Planned Behavior (TPB) and two modified versions of it, one integrated to the Norm Activation Theory (TPB-NAT) and one including the effect of identity (TPB-NAT-Identity). The TPB was the most parsimonious model and explained a large variance of conservation intentions (41%). Social norms and attitudes had the largest direct influence on intentions across the three models, and identity had a significant role in shaping social norms and attitudes. Interventions aimed at building social capital within landholder networks provide the best hope for influencing pro-conservation norms.Fil: Mastrangelo, Matias Enrique. Victoria University of Wellington; Nueva Zelanda. Instituto Nacional de Tecnología Agropecuaria; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Gavin, Michael C.. Colorado State University; Estados Unidos. Victoria University of Wellington; Nueva ZelandaFil: Laterra, Pedro. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; Argentina. Instituto Nacional de Tecnología Agropecuaria; ArgentinaFil: Linklater, Wayne L.. Victoria University of Wellington; Nueva ZelandaFil: Milfont, Taciano L.. Victoria University of Wellington; Nueva Zeland

Comprehensive Security Framework for Global Threats Analysis

Cyber criminality activities are changing and becoming more and more professional. With the growth of financial flows through the Internet and the Information System (IS), new kinds of thread arise involving complex scenarios spread within multiple IS components. The IS information modeling and Behavioral Analysis are becoming new solutions to normalize the IS information and counter these new threads. This paper presents a framework which details the principal and necessary steps for monitoring an IS. We present the architecture of the framework, i.e. an ontology of activities carried out within an IS to model security information and User Behavioral analysis. The results of the performed experiments on real data show that the modeling is effective to reduce the amount of events by 91%. The User Behavioral Analysis on uniform modeled data is also effective, detecting more than 80% of legitimate actions of attack scenarios

Multi-Stakeholder Sustainability Alliances in Agri-Food Chains: A Framework for Multi-Disciplinary Research

The IFAMR is published by (IFAMA)the International Food and Agribusiness Management Association. www.ifama.orgstakeholder, sustainability, alliances, Corporate Social Responsibility (CSR), partnerships., Agribusiness, International Relations/Trade, Teaching/Communication/Extension/Profession, Q130,

An application in the hotel sector

This article deals with the study of Corporate Responsibility (CR) under the European Customer Satisfaction Index (ECSI). The methodology of this empirical study, conducted among 629 customers staying at hotels in the city of Seville, is based on structural equation modeling (PLS). The results obtained demonstrate the applicability of the European model to the hotel sector, although not all the relationships from the original model have been proven. The main contributions are derived from a better understanding of the model's components, a variable not studied before having been incorporated: the importance of Corporate Responsibility (CR). Moreover, it means to contribute to the field of research on CR as, despite the growing interest in the subject, the effects of this construct are still poorly understood