Althouse Hall Room 210
Prof. Xiaolu Wang received his Bachelor’s degree in mechanical engineering from Tsinghua University (Beijing, China) and Ph.D. in economic sociology from Columbia University. His research interests include pricing theories and practices in marketing, causal inference in statistics, mathematical modeling of social systems, and big data in business. He has published in the journals of Mathematical Sociology, Sociological Studies, Chinese Economic Sociology Research, and other anthologies. His current research project uses techniques of big data, natural language processing, and large language models to study the economy of emotions in the pop music industry.
INBM 100 Fundamentals of Business
This course features an introductory focus on a wide range of business subjects including the following: business in a global environment; forms of business ownership including small businesses, partnerships, multinational and domestic corporations, joint ventures, and franchises; management decision making; ethics; marketing; accounting; management information systems; human resources; finance; business law; taxation; uses of the internet in business; and how all of the above are integrated into running a successful business. You will learn how a company gets ideas, develops products, raises money, makes its products, sells them and accounts for the money earned and spent. This course will not fulfill a distribution requirement.
INBM 300 Big Data in Business
The rise of Big Data has revolutionized our ways of perceiving and understanding the world across micro and macro levels (from decoding the human genome to predicting the result of the U.S. presidential election based on Facebook data). This is an introductory course designed to familiarize students with both the major quantitative and qualitative aspects of big data, with a particular focus on applications in the real business world-for example, tracing the formation of trust among strangers in the "sharing economies." Quantitatively, the course introduces the essential skills of managing, analyzing, and presenting data, using mainstream software packages and programming languages such as R and Python. Qualitatively, it covers the basic ideas of building the software and hardware infrastructure for a big data business system, explores various questions and problems (in business and other areas) that can be creatively addressed utilizing big data, and scrutinizes the corresponding cognitive, sociological, and ethical implications.
INBM 500 Independent Study
INBM 240 Marketing in a Global Context
The primary objective of this course is to identify how companies identify and satisfy their customers' needs. Not only are the "4p's of marketing" covered (product, price, promotional programs like advertising and public relations, and place or distribution), but working with a specific semester-long case, you will learn how to manage an integrated marketing program. We will also examine other important aspects of marketing: market research, new product development, consumer behavior, ethics, competitive analysis and strategic planning, and marketing internationally and on the Internet. Field trips and videos are used to reinforce the ideas presented in the classroom. Prerequisite: 100 or permission of the instructor. 110 is recommended but not required.
INBM 400 Sem:Intl Bus Policy & Strategy
This capstone course focuses on the challenges associated with formulating strategy in multinational organizations. The course will examine multinational business decisions from the perspective of top managers who must develop strategies, deploy resources, and guide organizations that compete in a global environment. Major topics include foreign market entry strategies, motivation and challenges of internationalization, the analysis of international industries, building competitive advantage in global industries, and the role of the country manager. Case studies will be used to increase the student's understanding of the complexities of managing international business operations. Prerequisite: Completion of INBM 290 and at least three of the four 200-level courses (220, 230, 240, 250).