DIGITAL INNOVATION (ONLINE) - 2025/6

Module code: MANM577

Module Overview

In this module, students develop an in-depth understanding of current trends for Digital Innovation and how they affect businesses in the Digital Economy today. This will involve reviewing a range of key Digital Innovation topics and evaluating their business context including technology, business models, stakeholders and ecosystem. In conjunction, students will develop understanding for a methodology to evaluate Digital Innovation which they can apply to the different key topics for decision-making purposes.

Module provider

SOL - Surrey Business School

Module Leader

FREI Regina (SBS)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 100

Seminar Hours: 6

Guided Learning: 38

Captured Content: 6

Module Availability

Semester 2

Prerequisites / Co-requisites

None

Module content

Indicative content includes the following: 


  • Digital Economy theory including technology, business models and ecosystems.

  • Digital Innovation topics and theory such as blockchain, web3, digital platforms and metaverse.

  • Applied Innovation: learning by doing where theory is applied in a business context.

  • Data Storytelling: students evaluate data analytics related to project for decision-making purposes.

  • Stakeholder Management: analysis of how stakeholders interact in an ecosystem to support Digital Innovation.


Assessment pattern

Assessment type Unit of assessment Weighting
Coursework Individual Report 100

Alternative Assessment

None

Assessment Strategy

The assessment strategy is designed to ensure that students demonstrate that they have gained knowledge of the relevant theory of Digital Economy and Digital Innovation. In addition, students will be able to show that they have developed practical and cognitive skills with regard to their ability to apply the theoretical concepts to a given business context and to critically identify potential problems and related management solutions.
The assessment method consists of one piece of assessment as follows: 


  • Individual report, 100% (addresses all learning outcomes).



Students will choose a key Digital Innovation topic and a company to create a case study where they apply the methodology with recommendations about how the designated company can develop capabilities for the Digital Innovation and implement it to achieve a dominant competitive position.
Formative Feedback
The online seminars will offer opportunity for students to receive formative feedback on topics covered and the assessment to help improve students understanding on topics and performance in their assessed work.  


  • During the live sessions, the requirements of each assessment component and the feedback process will be explained.

  • As the live sessions are built around topic-specific group exercises, students do not only benefit from the module leader but also receive peer evaluations. 

  • A Q&A and feedback session is provided for each assessment component.



A detailed marking scheme is provided for students at the beginning of semester together with the assessment details. This allows students to identify what is expected of them. The marking scheme outlines the percentage figures for each assessment component. This is also essential as it allows for consistency in the marking process. 
Summative Feedback 
Detailed feedback will be provided for each summative assessment by the marker.

Module aims

  • To equip students with a critical understanding of key Digital Innovation trends in the Digital Economy including how they influence the business context.
  • To equip students with a critical understanding of a methodology to evaluate Digital Innovation which they can apply in a business context.
  • To provide students experience to apply Digital Innovation in a business context and to apply other business and employability skills.
  • To develop a better understanding of the Digital Economy and how it holistically influences people, businesses and society as part of an ecosystem.

Learning outcomes

Attributes Developed
001 Develop critical understanding of theory related to Digital Innovation and the Digital Economy including technology, business models and ecosystems. K
002 Demonstrate ability to discuss and evaluate decision-making for Digital Innovation in a business context. CT
003 Develop understanding for the tools and methodology to evaluate Digital Innovation. PT
004 Demonstrate project management and employability skills such as resilience and time management. PT
005 Develop understanding about the role of stakeholders that is part of a broader business ecosystem which fosters and supports Digital Innovation. KT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to provide structured formal learning through the online environment. By actively engaging in the full range of guided learning activities students will explore the fundamental concepts, tools, and theories of the module to create new knowledge and build on existing experience. The live learning sessions are designed to provide students with the opportunity to learn through the application of skills, discussion, and peer learning. Students are invited to contribute to discussions from their own background and experiences and are encouraged to be actively involved in problem solving, thus developing their own judgments, opinions, and critical thinking. Students are expected to utilise independent learning to deepen their knowledge and skills in core areas of interest.
The learning and teaching strategy is designed to provide students with an in-depth understanding of current trends in Digital Innovation and how it affects businesses in the Digital Economy today. 
The learning and teaching strategy combines recorded content, group discussion, and applied activities. In addition to literature and research studies, the module will make use of:


  • Online resources such as multimedia resources (used both in class and as part of guided learning and study/class preparation) and Canvas.  

  • Support materials.

  • Reading and class preparation via guided learning and independent study.

  • Individual work.

  • Group discussions.

  • Designated external resources to support skill development where deemed appropriate.


Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: MANM577

Other information

The module supports development of 5 pillars for learning as follows:
Employability – This module enables students to explore a topic of interest from the programme and related to their future employability.  Students will gain experience of writing clearly and cohesively for a target audience, key skills that are vital in the workplace.
Digital Capabilities – During the module, students use a range of digital capabilities previously explored in the programme.  Depending on the direction chosen some students will engage with several platforms, for example research software packages such as SPSS and NVivo.

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Strategic Marketing (Online) MSc 2 Compulsory A weighted aggregate mark of 50% is required to pass the module
International Business Management (Online) MSc 2 Compulsory A weighted aggregate mark of 50% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2025/6 academic year.