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Module Code - Title:

EP6062 - TECHNOLOGY DRIVEN ENTERPRISE

Year Last Offered:

N/A

Hours Per Week:

Lecture

3

Lab

0

Tutorial

0

Other

0

Private

7

Credits

6

Grading Type:

N

Prerequisite Modules:

Rationale and Purpose of the Module:

In the context of digital transformation, the ability of enterprises to harness data, digital tools, and technology-driven decision-making processes is now central to achieving strategic advantage and operational excellence. This module prepares MBA students to understand, critique, and lead enterprise-level digital initiatives that are powered by data analytics, digital infrastructures, and intelligent decision systems. Students will explore how organisations adopt technologies to transform their operations, reimagine business models, and improve decision-making under uncertainty.

Syllabus:

The indicative syllabus includes the role of technology, information and knowledge in a strategic context; technological change and the transformation of organisations and markets in the networked economy; techniques and frameworks for strategic planning of the information resource. Topics include: The Technology Enabled Enterprise: Introduction to digitalisation and enterprise systems; Digital maturity and business impact; Data-Driven Strategy and Decision-Making; Business Intelligence Frameworks; Strategic use of analytics and dashboards; Digital Business Models and Platform Ecosystems; Multi-sided platforms, digital revenue streams; Digital transformation; AI and Machine Learning for Business Decisions; Predictive analytics, algorithmic decision-making; Automation and Intelligent Operations; RPA, workflow optimisation, and decision automation; Data Governance and Ethical AI; Data privacy, governance frameworks (GDPR); Bias, explainability, and ethical leadership; Customer Data and Digital Marketing Intelligence; CRM systems, behavioural analytics; Personalisation, customer journey mapping; Digital Risk, Cybersecurity and Resilience; Cybersecurity strategy and risk-based decision-making; Building resilience into tech-enabled operations; Organisational Change and Leadership in Digital Contexts; Leading digital transformation; Innovation and Emerging Technologies; Blockchain, digital twins, quantum computing; and investment decisions

Learning Outcomes:

Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis)

On successful completion of this module, students will be able to: - Critically analyse the strategic role of data, digital systems, and emerging technologies in enterprise decision-making. - Evaluate enterprise-level digital transformation initiatives using industry frameworks and case evidence. - Critically assess the ethical, social, and governance implications of technology-enabled decision-making in organisations.

Affective (Attitudes and Values)

On successful completion of this module, students will be able to: - Value the importance of data stewardship, digital responsibility, and ethical leadership in digital transformation. - Demonstrate curiosity and openness toward emerging technologies and their strategic implications.

Psychomotor (Physical Skills)

On successful completion of this module, students will be able to: N/A

How the Module will be Taught and what will be the Learning Experiences of the Students:

The module will be delivered in an interactive collaborative learning environment where discussion facilitates exploration of the body of knowledge adopting a combination of methods including lectures, skill-building exercises, cases studies, group-work activities and presentations. Graduate attributes will be developed in the following ways: Agile: Students are expected to be agile in their learning through independent study, self-directed learning and coursework; Articulate: Students will become articulate in expressing advice through the use of in-class discussions, presentations and written coursework; Courageous: Students will be required to participate openly in class discussions, group work and assessments that require them to step outside their comfort zone; Curious: Students will be encouraged to be curious in their acquisition of knowledge of through practical examples, coursework and in-class groupwork; Responsible: Students will develop a sense of responsibility through class discussions on various ethical and sustainable issues and challenges.

Prime Texts:

Duane, J.N. and Steve Fisher, S. (2025) SuperShifts: Transforming How We Live, Learn, and Work in the Age of Intelligence , Wiley

Other Relevant Texts:

Verhoest, K., Hammerschmid, G., Rykkja, L. and Klijn, E. (2024) Collaborating for Digital Transformation: How Internal and External Collaboration can contribute to innovate public service delivery , Edward Elgin
Christensen, Clayton, M. (1997) The Innovator's Dilemma: The Revolutionary Book that Will Change the Way You Do Business , Collins
Siebel, Thomas M. (2019) Digital transformation: Survive and Thrive in era mass extinction , RosettaBooks
Venkatraman, Venkat (2024) Fusion Strategy: How Real-Time Data and AI Will Power the Industrial Future , Harvard Business Press Review

Programme(s) in which this Module is Offered:

MASTER OF BUSINESS ADMINISTRATION - EXECUTIVE MBA

Semester(s) Module is Offered:

Spring

Module Leader:

michele.odwyer@ul.ie