Teacher: Prof. Yash Raj Shrestha
Teaching Assistant: Salvatore D’Amato and Zhuofu Zhou
Credits: 3.0 ECTS
Autumn Semester Wednesday 10:00 to 11:30
Moodle Link here
General Description
This doctoral-level course offers an in-depth examination of the multifaceted impact of Artificial Intelligence (AI) within the realm of management research. The course will begin with general technical foundations of machine learning and related advanced technologies (such as deep learning and generative AI). Following this, the course is structured into three comprehensive modules: AI as a change agent, AI as an organizational agent, and AI as a research tool. Each module is designed to provide researchers with both theoretical insights and empirical applications, fostering a nuanced understanding of AI’s transformative role. While the first two modules will focus on the AI as phenomenon of inquiry, third model will focus on AI as a research method in management.
Module I: AI as a Change Agent
This module explores AI’s profound influence on the external environment in which organizations operate. We will investigate how AI technologies are altering competitive landscapes, and consumer behaviors. This includes critical examination of contemporary empirical research and theoretical models that elucidate AI’s role in driving innovation and disruption across various industries. Students will engage with advanced literature to develop a comprehensive understanding of AI’s macroeconomic and strategic implications.
Module II: AI as an Organizational Agent
In this module, the focus shifts to the internal dynamics of organizations, examining how AI integrates with and transforms decision-making processes and problem-solving mechanisms. The module emphasizes the interplay between AI and human cognition, exploring ethical considerations necessary for responsible AI deployment. Through theoretical explorations, researchers will gain insights into the applications and challenges of AI within organizational contexts.
Module III: AI as a Research Tool
The third module transitions from AI as a phenomenon to AI as a methodological tool for advancing management research. Students will be introduced to cutting-edge AI and machine learning techniques, including natural language processing, deep learning, and advanced data analytics as a research method. The curriculum is designed to equip researchers with the skills to design and execute AI-driven empirical studies, enhancing their ability to generate novel insights and contribute to the academic discourse.
Learning Objectives
- To critically analyze the transformative impact of AI on organizations.
- To understand and evaluate the integration of AI within organizational decision-making and problem-solving processes.
- To develop understanding in utilizing AI and machine learning techniques for advanced management research.
- To foster a nuanced understanding of the ethical, theoretical, and empirical considerations surrounding AI in management research.
Evaluation
Weekly readings and homework are a prerequisite to passing the course. This course has three grading components as follows:
- Class contribution (individual) : 20%
- Article presentation (individual): 40%
- Research project presentation (Team): 40%
[See Moodle for more information]