Communicating Ethical Arguments to Organic Consumers: A Study Across Five European Countries

Additional ethical claims were tested with mock organic egg labels in five EU countries. The attitudes towards the advertising labels were assessed by multiple copy testing measures. A total of 156 individual responses were analysed. The study confirms the difficulty of conducting advertising research in a multicultural framework, and shows that additional local/ regional claims can reinforce the appeal of organic products

Is there Still a PR Problem Online? Exploring the Effects of Different Sources and Crisis Response Strategies in Online Crisis Communication Via Social Media

This study examined the effects of source and crisis response strategy on crisis communication outcomes in the context of social media. A 3 (source: organization, CEO, or customer) × 2 (strategy: accommodative or defensive) × 2 (crisis type: airline crash or bank hacking) mixed experimental study was conducted with 391 participants. The organizational sources were more likely to be perceived as more credible than the non-organizational sources. In particular, the CEO appeared to be the most trustworthy and credible source in delivering crisis messages. The path analysis indicated that perceived source credibility mediated the effect of source on reputation and behavioral intentions. This mediation appeared to be contingent on the type of crisis response strategy

Evaluating and Aggregating Data Believability across Quality Sub-Dimensions and Data Lineage

Data quality is crucial for operational efficiency and sound decision making. This paper focuses on believability, a major aspect of data quality. The issue of believability is particularly relevant in the context of Web 2.0, where mashups facilitate the combination of data from different sources. Our approach for assessing data believability is based on provenance and lineage, i.e. the origin and subsequent processing history of data. We present the main concepts of our model for representing and storing data provenance, and an ontology of the sub-dimensions of data believability. We then use aggregation operators to compute believability across the sub-dimensions of data believability and the provenance of data. We illustrate our approach with a scenario based on Internet data. Our contribution lies in three main design artifacts (1) the provenance model (2) the ontology of believability subdimensions and (3) the method for computing and aggregating data believability. To our knowledge, this is the first work to operationalize provenance-based assessment of data believability

Blockchain-based Continuous Timestamps Tracking System: Towards Ownership Information Believability

Ownership information of high value assets such as property is often concealed and fragmented, adversely affecting information believability. Following the design science research approach, we conceptualize believability as a data quality dimension that supports ownership traceability. We then investigate how blockchain technology might improve information believability in ownership traceability systems. We represent and address our findings via the development of a blockchain-based continuous timestamps tracking system model, framework and implementation for property ownership. A use case of banking transactional data for property ownership traceability is introduced to illustrate our workflow and system design. The proposed system takes advantage of blockchain technology such as traceability and irreversibility to support information believability in the design, management, and use of information systems

Web Site Recommendation Modelling Assisted by Ontologies Networks

Web site recommendation systems help to get high quality information. The modeling of recommendation system involves the combination of many features:metrics of quality, quality criteria, recommendation criteria, user profile, specific domain, among others. At the moment of the specification of a recommendation system it must be guaranteed a right interrelation of all of this features. In this paper we propose a ontology network based process for web site recommendation modeling. This ontology network conceptualizes the different domains (web site domain, quality assurance domain, user context domain, recommendation criteria domain, specific domain) in a set of interrelated ontologies. Basically, this work introduces the semantic relationships that were used to construct this ontology network. Moreover, it shows the usefulness of this ontology network for the detection of possible inconsistencies when specifying recommendation criteria. Particularly, this approach is illustrated for the health domain