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
2023/4, 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:


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