Thought leadership is a term that has been around for more than a decade. Little research has been done on exactly what thought leadership is or how to become a thought leader. Yet the business press is full or articles touting the importance of becoming a thought leader along with a variety of benefits. Additionally, social media has become an increasingly important part of any marketing strategy. This paper begins by developing a typology of business to business CEO social media presence, it clearly defines the three key attributes of a thought leader and concludes with identifying which attributes are the most important in CEO thought leadership. Chief Executive Officers (CEOs) are generally expected to represent the public face of the company, and their leadership is critical to success in product-service markets. Social media platforms offer CEOs the opportunity to benefit their companies by demonstrating leadership, communicating ideas, and motivating others, often with a personalized touch. Yet, many CEOs, particularly in business-to-business (B2B) firms, are relatively new to social media and do not have a clear social media strategy. A typology of B2B CEO social media presence was developed by utilizing cluster analysis to analyze a cross-section of B2B CEOs’ social media activity. Results shows that the Reluctants, constituting 74% of the sample, have little or no social media presence. Of CEOs with some social media presence, the main types are LinkedIn Leveragers who have a substantial LinkedIn presence only, and TweetStars, who are active only on Twitter. A CEO who is a thought leader is a business leader who communicates ideas in a way that motivates others to develop them and is recognized by others outside of their organization. Using the three attributes of thought leadership – communication, motivation of others, and public recognition, a survey was conducted to identify which of these attributes were the most important in increasing perceived thought leadership. Using choice based conjoint analysis to test the level of perceived thought leadership, public recognition followed closely by motivation were most important in contributing to perceived thought leadership. The typology developed in this paper leads to the development of a set of empirical propositions for future research. Insights gained from this analysis can help companies and their CEOs make informed decisions on their social media options and strategies. The identification of what attributes are most important to increase levels of perceived thought leadership lays the foundation for additional research. Recommendations offered in this paper can help companies and CEOs invest their resources in a marketing strategy appropriate to their goals. / Business Administration/Marketing

Perception of scale is important to our activity within a space and to our experience of a landscape. This presents a problem if people cannot predict or convey the scale effects of large structures proposed in a landscape, as has been the case for recent wind turbine proposals in Scotland. To address this problem, this research explored how people perceive scale and scale effects in a landscape. It took wind turbines as an example structure and analysed how different scales of windfarm create different scale effects in different landscapes, as well as how to best assess and communicate these effects. The research applied three methods to address the research questions: Landscape and Visual Impact Assessment (LVIA), which is a standard, structured process applied by professional landscape architects; experiential landscape assessment, which included semi-structured interviews with local people in addition to site assessment; and public attitude and preference study, which included Adaptive Choice-Based Conjoint analysis (ACBC). These different methods allowed the research questions to be explored in different ways, while overlapping in some aspects and providing triangulation. The research findings revealed that our perception of scale and scale effects in a landscape is influenced by numerous attributes and depends on how these are experienced together. Building upon the theoretical background, an important difference between visual scale and spatial scale was highlighted, as well as alternative ways in which scale references are made. Throughout the research, the need for clear communication was emphasised and the findings included identifying the specific words that people use to describe scale effects in the most discriminating way. This research supported other studies in finding that consultation with local people (professionals and the public) was vital to understand in sufficient depth how a landscape was perceived, experienced and valued. In addition, the innovative development of Conjoint Analysis demonstrated how this method can reveal how people judge the relative importance of different attributes that influence landscape and visual effects and, by doing so, offer new possibilities as a tool in landscape research. Building upon the general findings concerning scale, specific findings regarding the scale effects of windfarms included: greater influence of the proximity of a windfarm than size or numbers of wind turbines; greater importance for being in private and/or fixed locations that offer a sense of refuge compared to public locations and/or when moving; the importance of collective effects perceived and experienced by a community; the importance of perceived spatial separation between a viewer and a windfarm (affecting sensitivity to scale effects within open settings); and differences in how people judge the importance of horizontal scale effects compared to vertical scale effects. The research findings contribute to the knowledge and understanding of people’s perception of scale and scale effects in a landscape and they counter some common assumptions and current practice in landscape architecture. They can be applied in practice and policy to help assess scale effects, convey more clearly to people the type of scale effects and how these will affect them, and minimise the adverse scale effects of windfarms through siting and design. The thesis also identifies how to build upon these findings in the future, including recommendations for additional research, new approaches to assessment (including the use of prompt lists) and thresholds for acceptability of scale effects.

O mercado de Educação Superior privado no Brasil apresenta altos índices de concentração, caracterizando-se como um oligopólio, podendo, portanto, ser estudado sob a ótica da Teoria dos Jogos. Uma das técnicas existentes para abordar este tipo de mercado é conhecida por Análise Conjunta Baseada em Escolhas (Choice Based Conjoint Analysis), que permite estimar as utilidades atribuídas para cada característica dos produtos, prevendo o desejo de cada produto gerado pela combinação dos seus atributos, possibilitando, assim, simular como as decisões de uma amostra de respondentes seriam distribuídas em um mercado simulado entre dois ou mais produtos competidores. Esses modelos, porém, limitam-se a maximizar a receita individual de cada produto, de forma isolada, não levando em conta a possibilidade das firmas terem interesses em maximizar a soma de dois ou mais produtos de forma conjunta. Isso se torna necessário, por exemplo, quando uma empresa comercializa dois produtos que competem no mesmo mercado. Com o objetivo de maximizar a receita conjunta de dois ou mais produtos, foi desenvolvido um método alternativo, baseado em Programação Não-Linar, que foi aplicado em uma cidade brasileira e em um país centro-americano. A comparação dos resultados do modelo desenvolvido com os do modelo tradicional evidencia que o modelo desenvolvido apresenta melhores resultados – soma das receitas das firmas de interesse – gerando uma taxa de crescimento na receita 3% maior, no caso brasileiro e 75% maior no estudo centro-americano. O modelo desenvolvido pode ser adaptado e utilizado em outros mercados oligopolistas ou para otimizar diferentes funções-objetivo. / The Brazilian Higher Education private market shows high levels of concentration and can be considered an oligopoly. Therefore, one can study it as a Game Theory problem. Choice Based Conjoint Analysis – a technic that can be used to approach this kind of market – can estimates the utilities of each products’ features and predict the desire of each product generated by the combination of its attributes. Such technic can simulate how the decisions of a sample of respondents would be distributed among the products of a market made of two or more competitor. These models, however, only maximize the revenues of individual products, not considering the possibility of firms wanting to maximize the sum of the revenue of two or more products. This is useful, for instance, when a company trends two or more products that compete in the same market. An alternative method, based on nonlinear programming, was developed, in order to maximize the conjoint revenue of two or more products and it was applied in a Brazilian city and in a Central American country. Comparing both models – the traditional versus the developed one –, we can see that the developed model shows better outcomes – ie, sum of both companies’ revenues – resulting in a revenue increase rate 3% higher in the Brazilian case and 75% higher in the Central American study. This model can be fitted to other oligopolistic markets or to optimize others objective functions.

Environment and its conservation is one of the key issues across the globe these days. It is even more important in the Scandinavian region.Swedenis one of the leading pro-environment nations in the world when it comes to environment-friendly or green automobiles. Introducing emissions tax, green car rebate, and congestion tax exemption for green cars on large cities have resulted in a surge of green car sales inSwedenover the past few years. The preferences of the Swedish green car consumers are examined in this study.   Consumer decision process and preferences related theories have been used for the theoretical understanding of this study and based on these understandings, the Adaptive Choice Based Conjoint Analysis has been selected to measure and understand the consumer preferences towards green cars. The Swedish green car market has been explained and understood as a prerequisite to conduct this study. Examinations of previous related studies, a small scale pre-screening survey, and expert interviews were carried out prior to formulating the conjoint experiment to ensure the inclusion of significant components into the study. The collected data were analyzed using advanced analysis software such as, SSI Web, SMRT, and SPSS, to understand and measure consumer preferences. The findings provide answers to the importance of different attributes in the purchase decision-making for green cars, the effect of each attribute to the decision-making process, the effect of prior purchase experience on the formation of preference, and the relationship between consumer’s green consciousness level and green decision-making process.   This study contributes to the theoretical field of green consumer behavior and to the practical field of marketing of green cars. The study also identifies and recommends key areas of interest that warrant further research.   Key Words: High Involvement Purchase, Green Consumer Behavior, Conjoint Analysis, Adaptive Choice Based Conjoint Analysis (ACBC), Green Preference, Green Car.

This research is the outcome of a preeminent interest in the topic of price perception. Pointedly, the perception of prices is part of the purchasing process, the same willingness to pay and the actual purchase behaviour, and is indubitably a perceptual construct. As such, perception is problematic to measure as it does not relate to an observable behaviour. On the other hand, pricing is regarded as an important variable in the marketing mix. This research contributes to theory by augmenting the current knowledge on the perception of prices including the methods used in the measurement of such perception. Moreover, this research addresses a gap in the understanding of how diverse ethnic groups perceive prices. The relationship set in this study between ethnicity and price perception is thought-provoking as it contributes to the current discussion around diversity in the marketplace. For example, the literature shows advances in areas such as multicultural and ethnic marketing and this research makes a significant contribution to these areas from price perception. Accordingly, this study involved a systematic review of the literature and presented a framework that suggested that the formation of price perception is affected by external factors such as culture and ethnicity. Furthermore, a qualitative study examined the formation of price perception around ethnic groups. Next, this research used a quantitative study that sought differences in price perception among ethnic groups. Thus, the quantitative study used a price perception scale (Lichtenstein et al., 1993) and a choice-based conjoint analysis. Also, the study adopted structural equation modelling (SEM) to measure differences among scales and the multinomial logit model to analyse the choice-based conjoint analysis. The findings of both the quantitative and the qualitative studies link to the systematic review and support the framework for the formation and measurement of price perception originally proposed.

O mercado de Educação Superior privado no Brasil apresenta altos índices de concentração, caracterizando-se como um oligopólio, podendo, portanto, ser estudado sob a ótica da Teoria dos Jogos. Uma das técnicas existentes para abordar este tipo de mercado é conhecida por Análise Conjunta Baseada em Escolhas (Choice Based Conjoint Analysis), que permite estimar as utilidades atribuídas para cada característica dos produtos, prevendo o desejo de cada produto gerado pela combinação dos seus atributos, possibilitando, assim, simular como as decisões de uma amostra de respondentes seriam distribuídas em um mercado simulado entre dois ou mais produtos competidores. Esses modelos, porém, limitam-se a maximizar a receita individual de cada produto, de forma isolada, não levando em conta a possibilidade das firmas terem interesses em maximizar a soma de dois ou mais produtos de forma conjunta. Isso se torna necessário, por exemplo, quando uma empresa comercializa dois produtos que competem no mesmo mercado. Com o objetivo de maximizar a receita conjunta de dois ou mais produtos, foi desenvolvido um método alternativo, baseado em Programação Não-Linar, que foi aplicado em uma cidade brasileira e em um país centro-americano. A comparação dos resultados do modelo desenvolvido com os do modelo tradicional evidencia que o modelo desenvolvido apresenta melhores resultados – soma das receitas das firmas de interesse – gerando uma taxa de crescimento na receita 3% maior, no caso brasileiro e 75% maior no estudo centro-americano. O modelo desenvolvido pode ser adaptado e utilizado em outros mercados oligopolistas ou para otimizar diferentes funções-objetivo. / The Brazilian Higher Education private market shows high levels of concentration and can be considered an oligopoly. Therefore, one can study it as a Game Theory problem. Choice Based Conjoint Analysis – a technic that can be used to approach this kind of market – can estimates the utilities of each products’ features and predict the desire of each product generated by the combination of its attributes. Such technic can simulate how the decisions of a sample of respondents would be distributed among the products of a market made of two or more competitor. These models, however, only maximize the revenues of individual products, not considering the possibility of firms wanting to maximize the sum of the revenue of two or more products. This is useful, for instance, when a company trends two or more products that compete in the same market. An alternative method, based on nonlinear programming, was developed, in order to maximize the conjoint revenue of two or more products and it was applied in a Brazilian city and in a Central American country. Comparing both models – the traditional versus the developed one –, we can see that the developed model shows better outcomes – ie, sum of both companies’ revenues – resulting in a revenue increase rate 3% higher in the Brazilian case and 75% higher in the Central American study. This model can be fitted to other oligopolistic markets or to optimize others objective functions.

O mercado de Educação Superior privado no Brasil apresenta altos índices de concentração, caracterizando-se como um oligopólio, podendo, portanto, ser estudado sob a ótica da Teoria dos Jogos. Uma das técnicas existentes para abordar este tipo de mercado é conhecida por Análise Conjunta Baseada em Escolhas (Choice Based Conjoint Analysis), que permite estimar as utilidades atribuídas para cada característica dos produtos, prevendo o desejo de cada produto gerado pela combinação dos seus atributos, possibilitando, assim, simular como as decisões de uma amostra de respondentes seriam distribuídas em um mercado simulado entre dois ou mais produtos competidores. Esses modelos, porém, limitam-se a maximizar a receita individual de cada produto, de forma isolada, não levando em conta a possibilidade das firmas terem interesses em maximizar a soma de dois ou mais produtos de forma conjunta. Isso se torna necessário, por exemplo, quando uma empresa comercializa dois produtos que competem no mesmo mercado. Com o objetivo de maximizar a receita conjunta de dois ou mais produtos, foi desenvolvido um método alternativo, baseado em Programação Não-Linar, que foi aplicado em uma cidade brasileira e em um país centro-americano. A comparação dos resultados do modelo desenvolvido com os do modelo tradicional evidencia que o modelo desenvolvido apresenta melhores resultados – soma das receitas das firmas de interesse – gerando uma taxa de crescimento na receita 3% maior, no caso brasileiro e 75% maior no estudo centro-americano. O modelo desenvolvido pode ser adaptado e utilizado em outros mercados oligopolistas ou para otimizar diferentes funções-objetivo. / The Brazilian Higher Education private market shows high levels of concentration and can be considered an oligopoly. Therefore, one can study it as a Game Theory problem. Choice Based Conjoint Analysis – a technic that can be used to approach this kind of market – can estimates the utilities of each products’ features and predict the desire of each product generated by the combination of its attributes. Such technic can simulate how the decisions of a sample of respondents would be distributed among the products of a market made of two or more competitor. These models, however, only maximize the revenues of individual products, not considering the possibility of firms wanting to maximize the sum of the revenue of two or more products. This is useful, for instance, when a company trends two or more products that compete in the same market. An alternative method, based on nonlinear programming, was developed, in order to maximize the conjoint revenue of two or more products and it was applied in a Brazilian city and in a Central American country. Comparing both models – the traditional versus the developed one –, we can see that the developed model shows better outcomes – ie, sum of both companies’ revenues – resulting in a revenue increase rate 3% higher in the Brazilian case and 75% higher in the Central American study. This model can be fitted to other oligopolistic markets or to optimize others objective functions.

This research is the outcome of a preeminent interest in the topic of price perception. Pointedly, the perception of prices is part of the purchasing process, the same willingness to pay and the actual purchase behaviour, and is indubitably a perceptual construct. As such, perception is problematic to measure as it does not relate to an observable behaviour. On the other hand, pricing is regarded as an important variable in the marketing mix. This research contributes to theory by augmenting the current knowledge on the perception of prices including the methods used in the measurement of such perception. Moreover, this research addresses a gap in the understanding of how diverse ethnic groups perceive prices. The relationship set in this study between ethnicity and price perception is thought-provoking as it contributes to the current discussion around diversity in the marketplace. For example, the literature shows advances in areas such as multicultural and ethnic marketing and this research makes a significant contribution to these areas from price perception. Accordingly, this study involved a systematic review of the literature and presented a framework that suggested that the formation of price perception is affected by external factors such as culture and ethnicity. Furthermore, a qualitative study examined the formation of price perception around ethnic groups. Next, this research used a quantitative study that sought differences in price perception among ethnic groups. Thus, the quantitative study used a price perception scale (Lichtenstein et al., 1993) and a choice-based conjoint analysis. Also, the study adopted structural equation modelling (SEM) to measure differences among scales and the multinomial logit model to analyse the choice-based conjoint analysis. The findings of both the quantitative and the qualitative studies link to the systematic review and support the framework for the formation and measurement of price perception originally proposed.

Les systèmes de santé accordent une attention croissante au point de vue des usagers dans l’organisation de l’offre de soins. L’instauration d’une offre de soins sensible aux besoins et préférences des patients constitue un enjeu majeur de qualité et d’efficacité des soins. Ce travail analyse le point de vue des patients pour l’offre de soins de médecine générale en utilisant différentes méthodes permettant d’obtenir des informations complémentaires en termes d’expérience de soins, de satisfaction, d’importance ou encore de préférences. Il s’agit des méthodes Delphi, de classement du meilleur au pire et de révélation des préférences par les choix discrets. Ces méthodes sont appliquées sur deux échantillons : en population générale pour la première et chez des patients poly-pathologiques pour les 2 autres afin d’identifier les principaux enjeux actuels et à venir de la réorganisation de l’offre de soins de médecine générale du point de vue des patients. Les résultats montrent le rôle central de la relation médecin-patient et plus particulièrement de l’échange d‘informations entre le médecin et le patient. Cependant une relation médecin-patient de qualité ne doit pas pour autant être réalisée au détriment de la qualité technique du soin et de la coordination de la prise en charge du patient. Ce travail montre également l’importance de prendre en compte l’expérience de soins des patients lors de l’analyse de leur point de vue, et plus particulièrement de leur disposition au changement. L’évaluation systématique et régulière des préférences des patients en pratique quotidienne peut permettre d’améliorer la communication médecin-patient ainsi que le contenu de l’offre de soins du point de vue des patients. / The healthcare systems are paying a great interest to the patients’ perspective for the organization of health care provision. Healthcare system which is accountable and responsive of patients’ needs and preferences is a major issue for the quality and efficiency of care. In this thesis, we analyze the views of patients for the supply of GP care in using different complementary methods about patients’ experience, satisfaction, importance or preferences. These methods are applied to a sample of patients in GP and to a sample of chronically ill patients in order to identify current and future major issues for the reorganization of GP care from the patients’ perspective. The results show the main role of the doctor-patient relationship and especially of the information exchange between doctor and patient and between patient and doctor. However the quality of the doctor-patient relationship is not enough. The technical quality of care (i.e. thoroughness) and the coordination are of high importance for patients. This work highlights that it is necessary to take into account the patients’ experiences in the analysis of their perspective (e.g. preferences) to fully and appropriately understand the results, especially in terms of willingness to change. The systematic and regular screening of patient preferences in daily GP practice can improve the doctor-patient communication and the content of the provision of care from the perspective of patients.