Skip to main content

Unit information: Digitalisation, Big Data and Value Creation in 2021/22

Unit name Digitalisation, Big Data and Value Creation
Unit code EFIMM0152
Credit points 30
Level of study M/7
Teaching block(s) Teaching Block 2D (weeks 19 - 24)
Unit director Dr. Liu
Open unit status Not open
Pre-requisites

none

Co-requisites

none

School/department School of Management
Faculty Faculty of Social Sciences and Law

Description including Unit Aims

Pathway unit for MSc Management (Digitalisation and Big Data)

Digitalisation, Big Data and Value co-creation are the enabling drivers of change and transformation in global businesses, enterprises and public organisations. This Pathway enables students to develop their knowledge of these drivers and apply digitalisation tools to build digital strategies and business models. The Pathway addresses questions arising from digitalisation; Why does Digitalisation matter for businesses and international economies? What Digital strategies should organisations develop? What systems have changed and will change the way we buy and sell goods and services digitally? How do innovative organisations use digital applications to gain competitive advantage? What business models are used in digital businesses, what are the components? How can organisations transform into digital organisation that co-create value for society? Is digitalisation sustainable?

This unit introduces students to the digitalisation environment. It is designed to give students an overview and understanding of: Digital business models, revenue models, processes for implementing digital applications, sustainability, risks and ethics. The unit explores innovative digital systems, online services, Big data, Data Analysis, value creation, online content and media, mobile and social commerce, and emerging digital applications in developing countries.

This unit analyses the issues related to the management of digital businesses. It reviews existing digital business models and applications; compares digital to other, more traditional forms of commerce, describes its major opportunities, limitations, issues and risks. It also provides a more detailed knowledge of some of the more successful business and revenue models in digital based businesses. Finally, special attention will be paid to the application of these models to emerging global markets, developing economies and how these models enable innovation, value creation, and societal benefits.

The taught content will include the following theories and emerging concepts and practical knowledge; The Digital World & Economy, Digital Strategy, Business Models and Value, Platforms, Services, Digital Markets, Big Data, Data Analysis, Block Chain and Distributed Ledgers, Internet of Things, Digital Networks, Digital Wearables, Sustainability and Global Challenges, Management Challenges/Opportunities, International Management in a Digital World, Digitisation of Transactions and Interactions, Developing Counties and their Digital Economies, Digital Ethics, Security and Risks.

Intended Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Apply the main concepts and theories of digitalisation, big data and value creation
  2. Appraise and develop digital strategies and sustainable business models
  3. Evaluate global value creation opportunities, develop value propositions and revenue models for digital businesses and organisations
  4. Analyse service and business process interactions, developing digital process models to design services for society and organisations
  5. Analyse and evaluate big data to develop digital market entry propositions and understand patterns and ecosystems.
  6. Develop proposals and implementation plans for digital applications in emerging economies, markets and developing countries
  7. Build a digitalisation and value creation proposal for an organisation based on digital ecosystems, and networks.
  8. Document and present a report that proposes a digitalisation strategy for an existing organisation.

Teaching Information

There will be extensive use made of e-learning, digital technologies in the teaching and assessment of this unit. Appropriate use will be made of external experts from other institutions and practice to supplement the teaching on this unit.

A series of lectorials (9 hours/week over week 6-10 in TB2) will be provided on the topics related to digitalisation, big data, and value creation. Lectorials will also include short case studies and real-life problems to understand the key digital technologies used in global economies. Online and multi-media resources will also be used to communicate the knowledge effectively. A big data simulation workshop will be used during one of the lectorial sessions and this will be followed by a formative assessment in the following weeks lectorial. Students will be asked to analyse/discuss short-case studies in groups to enhance their learning. Students will analyse and review existing digital business models and develop innovative new business models. Students are encouraged to undertake structured reading on the topics covered in the lectorials and raise any query with the tutor in the class or outside the class through discussion boards on BlackBoard, journals, emails, social media and through other digital media.

The unit structure offers 45 contact hours in total.

Assessment Information

There will be a summative individual written report, a formative big data simulation and a summative group project. The group project will involve analysis of business models, a poster, peer review, a digital journal and group presentation. Students will work in randomly selected groups of 5-6 students within lectorials to analyse a Digitalisation opportunity and develop new innovative digital strategies and business models. For the individual work students will produce a digitalisation strategy for an existing organisation that they select. The formative assessment on big data will provide evaluation and feedback to the students to feed forward into the summative assessment, students create a video blog of big data workshop and their learning.

Group project (40%) and individual written report (60%) of 3,000 words which assess the learning outcomes mapped as follows:

Group Project: 1, 2, 3, 5, 6

Written Individual Report: 1, 3, 4, 5, 7, 8

For the group project, the group is allocated a mark and the individual mark would usually be the same provided individual students have contributed equally to the group work. A group mark will be awarded and apply to all group members. Participation and individual contributions will be assured and assessed through group journals, formative feedback and assessment, peer contributions and questioning individuals during the group presentation. A conflict identification and warning system for individuals not fully contributing will run and those students who are not contributing to the group work will not receive the group mark. The formative assessment also identifies non-contributing students at an early stage where feedback and a warning action will the applied. For students who fail the group assessment an additional individual assignment will be used to assess the learning outcomes 1, 2, 3, 5, 6, this will be 2000 words.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. EFIMM0152).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

Feedback