Information Systems and Digital Innovation

Understanding how new digital technologies are influencing the design and development of organisations is key for the leaders of the future. This module aims to inspire the leaders of the future in understanding how they can make a social impact from both an ethical and sustainable perspective. Subject areas will include:

• consider the emergence of fluid, agile and decentralised organisations that follow holacratic principles of self-organisation.
• gain an understanding of how networks can influence interaction and collaboration to create practical solutions to complex challenges and co-create conditions for collective benefit.
• understand how design thinking/co-design principles can be used for creative problem solving within complex, interconnected environments.
• encourage and use personal skills of communication, teamwork, decision-making and collaborative leadership.
• understand and encourage a holistic approach (systems thinking) when dealing with the complexity of global social challenges.

This module is now more timely than ever. In the past Information Architecture was relevant in the context of information and knowledge-based organisations. In these post pandemic times of smartphones and iPads, however, digital platforms—and all the big data that they generate—have become fundamental to our daily lives. How can vast volumes of unstructured big data be transformed into machine readable, retrievable, and therefore useful information? The aims of this module are for students to be able to:

• recognise the information needs of users.
• become familiar with the technology that has defined the semantic web.
• distinguish between the new technologies that make up the semantic web.
• identify and apply the methods available for integrating external and internal data, information, and knowledge.

The aims of this module are to:

• Understand and critically review the societal and ethical issues associated with the digital technologies in the 21st century. Understand the minimum legal standard required and also consider higher standards that reflect societal moral operating principles. Consider a holistic view from the differing perspectives of citizens, individuals, parents, employees, employers and leaders.
• Understand the basics of bias and its impact on ethical decision making.
• Understand the elements that build trust, how these are measured and their impact both societally and economically.
• Understand the basic concepts of data ethics and its application.
• Understand the impact of cultural differences in a globally connected society.
• Apply multidisciplinary concepts including diversity, equality, inclusion, critical thinking, reflection to construct, articulate and communicate ethical purpose from a leadership perspective.
• Be able to rationalise personal thinking, decision making and reaction (from an understanding of bias).
• Create an ethical framework that could be applied for leadership development. Apply data ethics in design, accounting for cultural difference.
• Encourage critical thinking, personal reflection.
• Work and collaborate in a diverse team.
• Articulate a critical analysis of the ethical standards required by senior leaders in today's society.
• Encourage a holistic approach when dealing with the complexity of a digitally connected global society.

The aims of this module are to:

• introduce and develop the key principles of enterprise resource planning (ERP);
• introduce the fundamental concepts of supplier and customer relationship management in the context of ERP;
• provide an understanding of the role of ERP systems in the effective management of organisational processes;
• provide hands-on experience of SAP, an industry standard ERP software.

The aim of this module is to give students an understanding of how to manage projects and their risks for both the individual managing their own and for the team leader managing a larger-scale project. The emphasis is on getting a quality product or service delivered on time and within budget.

The aim of this module is to enable students to develop a critical appreciation of current theories and practices of information and knowledge management with a view to applying theoretical understanding of information and knowledge management to real life situations.

Innovations in information management, analytics and digital technologies have increasingly been driving and impacting business operations, management, and strategy throughout the 21^st century digital revolution. Digital platforms (e.g., Airbnb, Uber, etc.) now facilitate entirely new business models and value creation. The aims of this module are to:

• develop a critical understanding of digital technology driven platform business models.
• introduce fundamental ICT technologies involved in running digital platforms, such as the web/client-server protocol, cloud computing, web, and API infrastructure, as well as key cybersecurity issues.
• develop critical knowledge of digital technologies and concepts, such as surveillance capitalism, as well as databases, AI based analytics, related ethical issues, and challenges of digital platform business models.
• develop a critical understanding and practical ability in the use of core IT infrastructure, web systems, processes and technologies that underpin business efficiency and effectiveness in the modern digital organisation.

The aims of this module are to understand:

• data science per se
• the process and cultures required to conduct data science
• technology platforms and programming techniques for data science projects
• the value data science can generate for organisations.

The aims of this module are to:

• equip students with the relevant theoretical and practical research method knowledge required to design, plan and execute an individual dissertation;
• give students an understanding of research methods which will allow them to critically review research by others in information science, management and business technology fields;
• apply and develop knowledge, skills and experience acquired during the programme of study.

The aims of this module are to:

• apply appropriate varieties of research methods used in information science, management and business technology fields;
• undertake research, which would usually be of an applied nature, into an appropriate aspect of information management and/or business technology, or a cognate field, under supervision;
• apply and develop knowledge, skills and experience acquired during the programme of study.