The Causes and Effects of Consumer Competence Perceptions

Consumers are constantly making consumption decisions and engaging in marketplace activities that require some level of competence. In other words, consumers possess and require some knowledge, skills, and abilities to engage in the marketplace and obtain what they want. But what causes consumers to infer they are or are not competent? And, what are the consequences of these competence inferences on consumer behaviour? This dissertation examines the role consumption plays in consumers’ inferences of their own competence to enhance our understanding of these issues. By integrating the literature on competence and attributions of blame, this dissertation develops a theory for when and how consumption influences self-perceptions of competence and how these self-perceptions of competence impact future consumer behaviours. Evidence from five studies suggests that consumers infer their own competence from their consumption outcomes, despite who is actually responsible for causing these outcomes. This means consumers potentially see themselves as incompetent for negative outcomes that are entirely firm-caused. This dissertation argues that people infer their own competence from firm-caused outcomes because they conflate their decisions made prior to an outcome with the cause of that outcome. This dissertation also examines how these variations in self-perceptions of competence can influence future consumer behaviours.

"Can you ask her to help?" An examination of the factors that promote and discourage prosocial intervention in preschool children

Previous research has examined young children’s ability to detect who would be most likely to provide help to others in a given situation, but little is known about their ability to intervene based on this knowledge in a real-life setting. In the current study, 48 three-year-old children chose between two actors to retrieve an out-of-reach object for the Experimenter; one actor was physically incapable of providing the object (blocked by a tall barrier), and one was capable. Participants’ looking behaviour between the two actors during the study was also recorded and analyzed as an additional, nonverbal measure of their prediction about who would help. Approximately half of the participants in the sample actively intervened on behalf of the Experimenter, but only after a direct request for help was made. Though the other participants did not engage in this helping behaviour, they chose the unblocked actor to help the Experimenter in a subsequent interview. Children also spent more time looking at the unblocked actor. Secondary analyses indicated that shyness prevented many children in the study from asking for help on behalf of the Experimenter from one of the actors. Finally, an unexpected side bias for looking behaviour toward the actors was found that has implications for how the study design could be improved for future research.

UTILIZATION OF GIS AND SPATIAL ANALYSIS TECHNIQUES IN ARTISANAL AND SMALL SCALE MINING TO LOCATE A CENTRALIZED PROCESSING CENTRE

One of the global phenomena with threats to environmental health and safety is artisanal mining. There are ambiguities in the manner in which an ore-processing facility operates which hinders the mining capacity of these miners in Ghana. These problems are reviewed on the basis of current socio-economic, health and safety, environmental, and use of rudimentary technologies which limits fair-trade deals to miners. This research sought to use an established data-driven, geographic information (GIS)-based system employing the spatial analysis approach for locating a centralized processing facility within the Wassa Amenfi-Prestea Mining Area (WAPMA) in the Western region of Ghana. A spatial analysis technique that utilizes ModelBuilder within the ArcGIS geoprocessing environment through suitability modeling will systematically and simultaneously analyze a geographical dataset of selected criteria. The spatial overlay analysis methodology and the multi-criteria decision analysis approach were selected to identify the most preferred locations to site a processing facility. For an optimal site selection, seven major criteria including proximity to settlements, water resources, artisanal mining sites, roads, railways, tectonic zones, and slopes were considered to establish a suitable location for a processing facility. Site characterizations and environmental considerations, incorporating identified constraints such as proximity to large scale mines, forest reserves and state lands to site an appropriate position were selected. The analysis was limited to criteria that were selected and relevant to the area under investigation. Saaty’s analytical hierarchy process was utilized to derive relative importance weights of the criteria and then a weighted linear combination technique was applied to combine the factors for determination of the degree of potential site suitability. The final map output indicates estimated potential sites identified for the establishment of a facility centre. The results obtained provide intuitive areas suitable for consideration