Titular Professors
Not required.
1. Understand the fundamentals of technology business management and how they operate in a rapidly evolving digital environment.
2. Analyze the impact of artificial intelligence and digital transformation on contemporary philosophical thought.
3. Develop leadership and decision-making skills in the context of technology business management.
4. Explore the ethical and social implications of technology, with a special focus on corporate responsibility.
5. Integrate philosophical knowledge into management practice, providing a critical and reflective view on digital transformation.
6. Foster a critical perspective on the role of technology in redefining human identity and ethical values.
7. Prepare students to know how to interact in a society where technology companies transform society with great philosophical and ethical challenges in the digital age.
TECHNOLOGY BUSINESS MANAGEMENT: IMPACT OF DIGITAL TRANSFORMATION AND AI ON CONTEMPORARY THOUGHT
PROF. ISABEL BELLOT
Session 1: Introduction and Contextualization
Overview: Philosophy, technology, and business management.
Digital transformation and its relevance in contemporary philosophy.
Evolution of technology companies: from the industrial revolution to the digital age.
When machines do everything.
Session 2: Digital Transformation and Organizational Change
Adoption of new technologies: How companies integrate AI, Big Data, and automation.
Organizational culture in technology companies: Innovation, agility, and resistance to change.
Change management: Tools and techniques to manage digital transformation.
Philosophy of change: How does organizational culture influence the adoption of new technologies?
Session 3: Business Models in the Digital Age
Digital economy: How technology companies create and capture value.
Platform-based models: Examples such as Uber, Airbnb, and Amazon.
Development of technological products: Life cycle, from idea to launch.
From crisis to prosperity. New business models that are taking shape. Times to be optimistic.
Session 4: Artificial Intelligence and Contemporary Thought
Integration of AI in business strategy.
Origins and evolution of AI.
Implementation models: Innovation as a catalyst
AI technology: Machine Learning, Deep Learning, IAG. Challenges and considerations
Risks: Transformation and incorporation of new risks
Generative AI as an intelligent tool within the organization, Copilot, ChatGPT, others. Use cases in various sectors and business areas
Session 5: Ethics, Sustainability and Responsibility in the Management of Technology Companies
Philosophical perspectives on AI: Ethics, consciousness, and the "problem of the mind."
Environmental impact of technologies: Energy, electronic waste, and carbon footprint.
Sustainability strategies in technology companies: Green innovation and circular economy.
Social responsibility in technological development: Impact on society and business ethics in the digital age.
Corporate responsibility in the development and use of AI.
Debate: The ethical dilemma of technology companies.
Session 6: Technological Innovation and the Future of Work
Promoting creativity and innovation: Strategies to maintain competitiveness.
R&D management: Research, development and management of the innovation portfolio.
Intellectual property and patents: Protection of technological innovation.
The impact of automation and AI on employment.
Philosophy of work in the digital age.
New forms of work organization: teleworking, others.
Session 7: Technological Governance and Regulation
Regulatory and legal frameworks for technology companies.
Philosophy of law and its application to technology.
Ethical and legal challenges in AI governance.
Session 8: Talent Management in the Technology Sector. Humanism and Posthumanism in the Digital Age
Attracting and retaining talent: Recruitment in technology companies.
Developing digital skills: Continuous training and professional development.
Diversity and inclusion: Strategies to build diverse teams and foster inclusion.
Impact of technology on identity and the human condition.
The debate between humanism and posthumanism.
Transhumanism and the extension of human capabilities.
Session 9: Conclusions and Final Reflections
Online exam
Presentation of group work
Review of the key topics addressed.
Debate: Where is the interaction between philosophy and technology headed?
Reflections on the future of technology companies and their impact on society.
Each session is designed to combine philosophical theory with case studies and discussions, allowing students to explore the intersections between business management and the philosophical challenges of technology and AI in particular.
The teaching methodology of the program is designed to provide a dynamic, interactive and practical learning experience. The focus is on developing both theoretical knowledge and practical skills necessary to lead digitalization and digital transformation processes in organizations.
1. Prior Individual Preparation
Description: Before the start of each session, students must work autonomously on the previous tasks assigned by the teacher. These tasks include reading or viewing the recommended academic material and solving proposed cases or exercises.
Objective: To ensure that students come to class with a standardized understanding of the topics to be discussed, allowing for a deeper and more practical approach during the sessions.
2. Class Structure
Classes are divided into two blocks:
- Theory block:
At the beginning of some of the sessions, the student must raise any questions that have arisen in the previous work tasks.
The teacher teaches the concepts and tools related to the topic of the session.
- Practice block:
Students apply and develop the concepts and tools through cases and practical group exercises. The different working groups propose a recommendation that must be well supported and argued.
We all discuss the case together and compare the different recommendations for solving the problem, presenting both the methodology and the process followed to reach said proposal.
Ordinary session: In order to be assessed in the ordinary session, all the activities subject to assessment must have been completed. The assessable activities must be handed in on the dates indicated by the teaching staff. If an activity subject to assessment has not been handed in or completed, it will be recorded in the minutes as "Not submitted" in the session.
Extraordinary session: The assessment criteria are the same as in the ordinary session, so all the assessment activities considered in the course must be submitted. The grades for the activities completed will be kept, pending the completion of the pending activities. In this assessment, the same weighting criteria will be applied as in the ordinary assessment.
Individual work: 30%. The development of the individual work (Individual Report) must be deposited in the eStudy pool before the start of the last session of the subject. Once the deadline has arrived and the pool has closed, the student who has not deposited it will have the subject failed, since it is an essential requirement to pass it to hand in and present the individual work.
Group work: 30%. The teacher will evaluate the group work carried out, which will be presented in the last session and will be submitted by groups on the eStudy platform.
Final exam: 40%. In the last session, students must pass a multiple choice test of 10 questions.
With a grade equal to or greater than 5 in the individual work, the average is calculated together with the rest of the evaluation systems to determine the grade for the subject. With a grade lower than 5 in the individual work, the subject is failed without the possibility of calculating the average together with the rest of the evaluation systems.
Finally, the professor will publish the grades from the different assessment systems in the eStudy, and will notify the students that they are available for consultation.
Use of AI tools:
Artificial Intelligence (AI) can help in the learning process, but we must make proper use of it. Students who choose to use AI in their work must include a paragraph at the end of the task or activity in which they have used said tool and explain why they decided to use it and the results obtained with it. Failure to include this information will be considered as an attempt at fraud or cheating, since it deceives the Assessment System. In these cases, the sanctions provided for in the Salle Campus Barcelona Copying Regulations will be applied (https://www.salleurl.edu/en/copies-regulation).
- Human + Machine: Reimagining Work in the Age of AI. Paul R. Daugherty & H. James Wilson, 2022. Examines human-machine collaboration, offering practical strategies for leveraging AI in digital transformation.
- Qué haremos cuando las máquinas lo hagan todo. Artificial Intelligence, Bots & Big Data, 2018. Malcom Frank, Paul Roehrig, Ben Pring. The book explores how artificial intelligence, bots and big data are transforming work and society, suggesting that rather than fearing automation, we should prepare to take advantage of the new opportunities it offers. It takes a positive approach to collaboration between humans and machines and provides strategies for companies and workers to adapt to this new technological era.
- The Age of Surveillance Capitalism, de Shoshana Zuboff, 2020. This book explores how technology companies have transformed the economy and society through massive data collection, addressing philosophical questions about privacy, freedom, and the ethical impact of digital capitalism. Zuboff examines how this digital transformation affects human autonomy and redefines power in the digital age.
- Cómo innovar desde el Consejo. Susana Quintás, Joaquina Garrido, Alfredo Ávila & otros autores. Biblioteca CIBG (Consejo de Innovación y Buen Gobierno). "Innovation is a risky activity, the main risk of which is not doing it." This book offers an exhaustive reflection on the challenges of innovation and the consequences of inaction, also providing a set of key questions to evaluate each company both from the individual perspective of a Director and from the collective vision of the Board.
- Capacidad Adaptativa. Juan Carlos Eichholz. 2015. How organizations can survive and thrive in a changing world.
- Artificial Intelligence: A Guide for Thinking Humans. Melanie Mitchell, 2019. It introduces artificial intelligence in an accessible and in-depth way, essential to understanding its capabilities and limitations in digital transformation.
- AI 2041: Ten Visions for Our Future. Kai-Fu Lee & Chen Qiufan, 2022. It provides a forward-looking and creative vision of how artificial intelligence will transform various aspects of our lives and businesses.
- Global Brain, Satish Nambisan, Mohanbir Sawhey, 2008. Explore how businesses can harness global collective intelligence through open innovation, networked collaboration and new digital technologies.
- eBusiness 2.0: RoadMap for success. Ravi Kalakota & Marcia Robinson. Addison-Wesley. Provides a practical and structured guide to eBusiness evolution and strategy, essential to understanding the fundamentals of eCommerce.
- Digital Transformation Industry 4.0. Jayaraman Kalaimani & Prashant Kumar, 2018. It addresses digital transformation in the context of Industry 4.0, which is crucial to understanding emerging technologies in manufacturing and production.