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In recent years, various concepts such as ESG, SDGs, and CSV have been published to realize a sustainable society and economy. These concepts have become an indispensable theme for corporate management. For example, governments are considering requiring companies to disclose sustainability information. This course explains the theory on sustainability and its application to practice for the purpose of understanding sustainability and the latest management trends.
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COURSE DETAIL
The course builds upon all areas of business and their related theories that are introduced by ELE402 Enterprise Management. These include the roles of personnel, marketing, sales, and production. The roles of these departments is further developed in terms of the introduction of a new product and the impact of the business on the development of that product and vice-versa, i.e. the implication of success and failure, risk assessment etc.
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The course focuses on the intersection between business culture and sustainable practices in the European context. It analyzes strategic business frameworks to assess the environmental impact of business activities, highlighting the emerging paradigm of circular economy and economic development. It also discusses cultural differences between European countries exploring the particularities of the regions of the North, the Mediterranean, and the new Eastern Europe.
This course is also referred to as Culture and Sustainability for Companies in Europe.
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This course (1) enhances students’ theoretical understanding of consumers and their decision-making processes and (2) provides students with the basic skills necessary to conduct experiments that allow them to get insights into these processes in a marketing context. The course is structured into three components: (1) the course discusses theories from pertinent literature in behavioral economics, psychology, and marketing that provide an understanding of how consumers make judgments and decisions and the factors influencing them; (2) the course examines how to use experimental research to inform and improve marketing decisions; that is, how to pose relevant research questions, design experiments and interpret the results and (3) students apply the acquired theoretical knowledge and methodological skills hands-on to solve a real-world marketing problems.
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This course critically evaluates Corporate Social Responsibility (CSR), focusing on firms’ attempts to prevent labor standards violations in their supply chains. Students begin by analyzing the rise of CSR, setting it in the context of global value chains, international labor standards, and emerging private forms of regulation. They then analyze topics such as the impact of CSR on corporate financial performance; whether CSR is an effective means of raising labor standards; theories of CSR; and how to embed CSR within the firm and comparative CSR. The course includes examples of how large firms are dealing with the ethical challenges posed by global supply chains. The course will include one lecture from a CSR professional.
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This course provides a psychological foundation for understanding consumer behavior and marketing strategy. The course builds from current psychological theory to understand recent marketing applications. Topics include perception, attention, memory, language, categorization, creativity, social cognition, and personality, and their application to product design, marketing communications, and brand management. Students on this course learn: how the basic principles of psychology constrain and predict consumer perceptions and preferences; how psychological models can be used to develop effective marketing strategies and campaigns. Topics covered in this course include: perception and sensory marketing; perceiving similarity and differentiation; consumer memory; the language of marketing communication; marketing emotions; creative consumption; brand personality; social aspects of consumption. Prerequisites for this course include an introductory marketing course.
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This course provides the conceptual inventory and practical tool kits that enable students to achieve circularity across organizational spaces. By integrating ethnographic methods with key concepts from entrepreneurship, the class equips students with the theoretical and practical knowledge needed to make transitions to sustainability. The course is intensive and follows a problem-based learning approach, where students develop solutions to a real-world circular challenge presented by a case company. The class requires active participation from students, with classroom activities and discussions as well as working in project teams inside and outside the classroom. It facilitates learning by participating, learning by observing, and learning by in-class presentations and critical reflections. Students are supported in their learning process with mentoring and coaching in collaboration with the Copenhagen School of Entrepreneurship.
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This course studies practical issues of international tax law through case studies to develop a general understanding for business, tax strategy and controversy. The course also discusses indirect tax matters such as customs duty and VATs given the recent high profile of such taxes. Lectures focus on learning how tax laws affect the daily operations of multinational companies and how such companies overcome the handling of complex tax laws around the world.
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This course examines how to make decisions in business by leveraging a structured approach based on theorizing about possible future scenarios and implementing data-driven actions. The first part focuses on theoretical aspects of decision-making, while the second part focuses on data-driven analysis and interpretation of data from a business point of view. Through concrete and practical applications, students learn how to diagnose business problems, offer appropriate solutions, and generate innovative opportunities. The course focuses on the best practices that a firm can adopt to make rational decisions, namely: a structured course of action to make more rational decisions; a language to describe decisions and distinguish strategies, scenarios, and outcomes; models and statistical techniques; structured descriptive statistics; linear regression model; applications; and real cases using statistical software (Stata).
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