11 - 20 of 26 results for: MKTG

Building Innovative Brands is a hands-on two-week dive into how leading brands may leverage a Design Thinking approach to become ever more participatory, experiential and experimental. Together, we will explore how leading organizations stoke conversations, co-create experiences, spark stories and build engaging relationships with consumers. Inspired by provocative real-world examples and industry guests, diverse student teams will employ human-centered design methods to conceive of and visualize their own creative proposals for how a brand could engage in innovative, brand-enhancing new ways. Teams will ultimately pitch their experience design concepts to the program leadership for feedback, consideration and potential real-world implementation.

Contemporary approaches to marketing emphasize the importance of adopting a consumer focus, from determining consumers' wants and needs, understanding their motivation, to shaping their attitudes and ensuring their loyalty. This course provides insight into consumer psychology and the means by which consumer behavior can be influenced or altered. The course has both theoretical and practical objectives in that we will: (1) explore theory and research that is relevant to understanding consumer psychology, (2) apply these theories and findings to generate novel ideas for effective marketing techniques. By shedding light on the psychological underpinnings of consumers' motivation, attitudes, preferences, and decision-making styles, this course will help students make more insightful and effective marketing decisions, as well as developing novel ideas for grabbing attention, shaping behavior, and changing consumers' minds.

The purpose of this seminar is to provide PhD level coverage of the major research work carried out in consumer behavior. For each topic considered, a selection of articles with a specific focus on "early classics"€ will be distributed and discussed. For each topic, our goals will be to determine the main ideas and research questions driving work in each topic area, how these authors positioned their work and tested their ideas, what made these papers "classics," where the gaps are, and what ideas for new research those gaps imply.

This course prepares the student to do empirical behavioral research. It will cover all aspects of the research process, from hypothesis generation to experimental design to data analysis to writing up your results.

This PhD seminar provides coverage of the major research carried out in consumer research both in marketing and psychology. A vast set of topics will be covered including conscious and non-conscious consumer goals, motivations, emotions, attention and perception, and consumer decision processes. The course will help students hone their ability to conceptualize, operationalize, and develop research ideas and will provide a grasp of what it takes to be a successful academic in the field of consumer behavior.

The goal of this seminar is to familiarize students with the quantitative marketing literature and develop the process of generating research ideas and topics. Sessions will involve a mix of: nni) a discussion of papers in a particular area in quantitative marketing; and/or nii) a discussion of students' research ideas with respect to topics. nnThe format will mix student presentations of papers with lectures by the instructor(s). When discussing papers in the literature, the focus will be on the topic and research question and not the methodological approach. When discussing research ideas, students should be able to articulate why their question is interesting, where it fits in the literature and how they would address their question.

This course will focus on empirical tools for analyzing dynamic decision contexts, wherein current actions of firms or consumers have effects on future payoffs, profits and/or competitive conduct. The course will build the relevant material generally, but our applications will be mostly focused on empirical marketing, operations and industrial organization problems. We will have an applied focus overall, emphasizing the practical aspects of implementation, especially programming. The overall aim of the class is to help students obtain the skills to implement these methods in their research. By the end of the class, students are expected to be able to formulate a dynamic decision problem, program it in a language such as Matlab or C, and to estimate the model from data. The course starts with an overview of consumer theory and static models of consumer choice. We build on this material and introduce discrete choice markovian decision problems, and continuous markovian decision problems, and focus on building the computational toolkit for the numerical analysis of these problems. We then move on to specific applications, and discuss multi-agent dynamic equilibrium models. Finally, we discuss recently proposed advanced methods for alleviating computational burden in dynamic models.

The course aims to develop a thorough understanding of Bayesian inference, with a special focus on empirical applications in marketing. The course will start with a brief theoretical foundation to Bayesian inference and will subsequently focus on empirical methods. Initial topics would include Bayesian linear regression, multivariate regression, importance sampling and its applications. Subsequently, the course will focus on Markov Chain Monte Carlo (MCMC) methods including the Gibbs Sampler and the Metropolis-Hastings algorithm and their applications. The overall focus of the course will be on applying these methods for empirical research using a programming language such as R.

This course will provide an overview of recent research on attitudes and persuasion. Content will include broad coverage of the issues of major importance to attitude theory, but will focus on more recent issues and controversies that have captured the interest of researchers in the field. The class will cover research areas such as attitude change, persuasion, and resistance processes; implicit versus explicit attitudes; attitude certainty; cognitive versus affective influences; dissonance and attitudinal ambivalence; selective exposure and biased processing; metacognition; and others. Students who take this course will become familiar with research methods and major issues in attitudes research and will have a better understanding of how individuals form, maintain, and change their evaluations. Throughout the course, students will be encouraged to critique existing research and formulate new research ideas.