Core Module Information
Module title: Digital Business and Innovation

SCQF level: 10:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SOE10109
Module leader: Max Chipulu
School The Business School
Subject area group: Management
Prerequisites

N/A

Description of module content:

This module provides you a deep exploration of how businesses and other organisations obtain value from data. First, it critically examines the nature of data as a business asset and how, therefore, data drives various digital business models, business-function integration, corporate and business strategy, and innovation. It then examines how businesses can better harness the value of (especially big) data through business analytics, machine learning, artificial intelligence, and digital oriented sustainability. Critically, the module also discusses the challenges of managing and using data, including security, implementation, cultural, and ethical issues.

The module aims to engage and enthuse you about the necessity and value of effective use of data in modern businesses. The module equips you with the knowledge and skills that will help you to:
• conceptualise a digital business model.
• understand how to use data as a source of business innovation, including sustainability-oriented innovation.
• appreciate the critical role of data in corporate and business strategy and integration of business functions.
• recognise analytics as a core function of business.
• classify and differentiate the diverse ways businesses can create value through machine learning and AI.
• develop solutions to resolve the security, ethical, cultural and implementation challenges of data use in business.

Learning Outcomes for module:

LO1: Examine and analyse the concepts underpinning the exploitation of data as a core asset by businesses and other organisations.
LO2: Evaluate how data drives diverse digital business models, business-function integration, corporate and business strategy, and innovation.
LO3: Critically assess how businesses and other organisations can gain competitive advantage through harnessing the value of (especially big) data through business analytics, machine learning, artificial intelligence, and digital oriented sustainability.
LO4: Critically discuss the firm-level challenges of managing and using data, including security, implementation, cultural, and ethical issues.

Full Details of Teaching and Assessment
2022/3, Trimester 1, BLENDED,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: BLENDED
Location of delivery: CRAIGLOCKHAR
Partner:
Member of staff responsible for delivering module: Max Chipulu
Module Organiser:


Learning, Teaching and Assessment (LTA) Approach:
The module will be organised around activities to develop core knowledge and supplemented by deeper exploration of key concepts and real cases of data use in business. It will comprise 10 interconnected ‘learning weeks’ from week 2 to 13, which will be delivered in blended format. There will be a total of 24 hours direct contact time, distributed across different learning activities.

On-campus teaching:
• 10*1-hour lectures.
• 4*1.5-hour tutorials.
Online:
• 4*1-hour Seminars (Q&A and Discussion).
• 1*2-hour Practical.

Learning and teaching methods will include:
• Introductory lectures
• Individual assignments
• Case study/problem solving activities
• In-class debate and discussion
• Private study
• Use of online materials
• Group project working
• Guest lecture or interaction with industry experts, if available.

As a result, the module learning outcomes will be developed as follows:
• LO 1 and LO 2 will be developed through case study/problem solving activities.
• LO 3 will utilize current thinking in industry and analysis of state-of-the-art applications
• LO 4 will be developed through participative and interactive in-depth class activities.

A guide, e.g., graphical syllabus, will be provided on Moodle to signpost students through the diverse learning activities.

Formative Assessment:
Formative assessment will be through in-class activities –and self-paced independent work.
Directed, verbal formative feedback will be given by the lecturers throughout the Online Q&A and discussion sessions, as well as whenever possible during the other learning activities or by personal appointments with the lecturers.
Written formative feedback will also be provided by the lecturers through email communications and Q and A forums on Moodle.


Summative Assessment:
The module will be assessed via 100% coursework, split into two components:
Component 1 will be an Individual Report weighted at 30% of the overall module mark, which will cover LO 1 and LO 2. You will choose a company from a provided list. Based on internet research of the selected company, you will then write a report (1500 words) to discuss how the selected company uses data as a core asset in its business model through strategy, integration and innovation.

Component 2 will be an Individual Analysis Project weighted at 70% of the overall mark and will cover LO 1, LO 2 and LO 3 and LO 4. It will be a continuation of the analysis from component 1. You will use feedback from assignment 1 to complete a more in-depth, and wider ranging analysis (2000 word) of how the selected company creates value through data. As well as strategy, integration and innovation, your discussion must include how the company draws value through business analytics, machine learning and AI; its use of data in sustainability and how it handles the challenges of managing data including security and ethical use.

Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 10
Face To Face Tutorial 6
Independent Learning Guided independent study 176
Online Seminar 6
Online Practical classes and workshops 2
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 30 LO1, LO2 8 , WORDS= 1500
Report 70 ALL 14/15 , WORDS= 2000
Component 1 subtotal: 30
Component 2 subtotal: 70
Module subtotal: 100

Indicative References and Reading List - URL:
SOE10109 - Digital Business and Innovation