This study investigates the change in Conservative Party behaviour during the 18 months between the 2004 and 2006 Canadian federal elections. It asks: How did the Conservative Party strategy influence the shift in voter preference during the 2006 Canadian federal election? The approach taken to address this question is rooted in the emerging field of Political Marketing. Using the Lees-Marshment taxonomy of party behaviour as a framework for analyzing the election outcome, this paper demonstrates how market intelligence was incorporated into the Conservative Party’s strategy to influence voter perceptions.
Résumé : La recherche porte sur les changements de comportement du Parti conservateur pendant les 18 mois entre les élections fédérales de 2004 et de 2006. La question posée est la suivante : Comment la stratégie du parti conservateur a influencé l’évolution du vote pendant la campagne électorale fédérale de 2006 ? Pour y répondre, nous avons choisi une approche qui relève du champ émergent des recherches en marketing politique. En utilisant la taxonomie du comportement d’un parti de Lees-Marshment en tant que cadre théorique pour analyser les résultats de l’élection, nous souhaitons démontrer de quelle façon l’intelligence du marché a été intégrée dans la communication politique du Parti conservateur afin d’influencer les perceptions des électeurs et électrices.
This brief article points out that more empirical knowledge is required about the diverse factors that influence the diffusion, implementation, outcomes and behaviours associated with the spread of information and communication technologies (ICT). This includes the domain of telemedicine and ICT-based outpatient care. A detailed understanding of these processes and the participants involved offers the potential to illuminate the multiplicity of inter-related issues with which medical practitioners and health-care policy makers must contend. More important, it is only through such a detailed, user-centred understanding--as opposed to abstract assessments of technological potential--that we can formulate effective strategies that do not lose sight of the clinical and therapeutic aspects of health care in the quest to improve its delivery.
In spring 1996, Québec's Ministry of Natural Resources began using a descriptive mathematical programming model to support various negotiations in the wood-fiber markets. The model, which uses linear programming to solve an economic-equilibrium program, allows the representative of the ministry to come to industry roundtables with accurate scenario analyses for the wood-fiber market. The tool we developed and implemented uses the large amounts of data available to government agencies to foresee and explain the general economic trends facing both lumber and paper producers. During its development, our team of operations-research experts, economists, engineers, and civil servants developed an unprecedented understanding of the wood-fiber market. The ministry incorporated these insights in subsequent government policy aimed at improving sawmill yield and stabilizing market behavior.
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