MANAGING ARTIFICIAL INTELLIGENCE (phd program in business: ba9030)
Learning Objectives
The course aims to provide a comprehensive understanding of managing AI in business and society, with learning objectives spanning various dimensions. It covers the future of work, including the impact of AI on industries, labor markets, and skills, as well as AI technologies and application development, focusing on fairness, explainability, and human-AI hybrid systems design. Furthermore, it addresses AI strategy, emphasizing the combination of human and machine learning for organizational design and learning, and the evaluation of AI strategy effectiveness and governance practices. Lastly, it delves into the ethical, policy, and legal implications of AI, exploring ethical dilemmas, policy implications, and responsible AI governance.
ENGAGED SCHOLARSHIP (Executive doctoral program: EDB 9020)
Learning Objectives
This course explores the different forms of engaged scholarship. It focuses on the research process that can enable students to generate both scholarly contributions and practical knowledge, which is at the core of Robinson's Executive Doctorate program. The course is designed to enable students to develop a research focus and understand the research process. It examines the roles of theory and models in the research process and the differences between variance and process models. Students learn how to formulate a problem, motivate a research question, synthesize relevant literature’s, draw on relevant theoretical perspectives, and develop variance and process models.
THEORY DEVELOPMENT (PhD programs in business: BA 9260)
Learning Objectives
Students develop an understanding about developing theory and about its critical role in surfacing a theoretical and practical contribution. They understand how to formulate problems to develop compelling research questions. They learn about the key elements of a theory and the approaches to build a theory. They understand the distinctions between process and variance models and between different types of process and variance models. They learn how to achieve correspondence between logical arguments and the specification of the different elements of a model including constructs, measures, functional forms of relationships, assumptions, and boundary conditions. They develop an understanding about how to leverage context and time in the theory building process, and also about the roles of multi-dimensional constructs and multilevel models in theory development. Cumulatively, they develop the skills and understanding to formulate a problem and specify research questions, synthesize the relevant literature’s, build a theory, and specify a model and to achieve correspondence between these essential elements.
DIRECTED READINGS FOR PhD STUDENTS
Learning Objectives
Directed Readings for PhD students in (i) latest research methods (e.g., network analysis, text mining of user generated content, randomized online experiments) and (ii) phenomena/problems and interdisciplinary theories related to digital innovation in business and society.
TECHNOLOGY & OPERATIONS (EMBA 8355)
Learning Objectives
Students develop the ability to diagnose and analyze problems, and develop and implement improvement and innovation initiatives for enterprise and inter-enterprise processes. They apply complementary approaches to establish quality goals and an organizational system to achieve these goals, to measure quality performance, and to control process variation. They determine process requirements and develop designs for manufacturing and service processes, including self-service operations. They evaluate the performance implications of information sharing practices and allocation of decision rights in inter-enterprise processes. They also examine how information can be leveraged for physical and financial flows across multi-tiered supply networks, and how these networks should be designed to be responsive to supply and demand uncertainty.
SUPPLY CHAIN MANAGEMENT (CIS 8060)
Learning Objectives
Students develop the ability to conceptualize, design, and implement supply chains aligned with product, market, and customer characteristics. Business competition is now between supply networks rather than individual corporations. Managing the flow of products, information, and revenue across supply chains differentiates the ability of supply networks to fulfill customer needs. Students develop the ability to evaluate how information flows can substitute for the stock of physical resources, such as inventory, and why such systems succeed or fail. They assess how internet technologies, dynamic markets, and globalization are impacting supply chain strategies and practices, including logistics, digital coordination of decisions and resources, inventory and risk management, procurement and supply contracting, product and process design, and revenue management.