Module Code: H7TFB
Long Title Technologies for Business
Title Technologies for Business
Module Level: LEVEL 7
EQF Level: 6
EHEA Level: First Cycle
Credits: 5
Module Coordinator: Danielle Mc cartan-Quinn
Module Author: Denise Ryan
Departments: School of Business
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Introduction to business technology and the use of business technology. Understand the role of technology in business.
LO2 Solve common tasks in key functional areas of business (e.g. Excel, SAGE, etc) by using different software applications. Application of Excel for business analysis and reporting.
LO3 Evaluate and apply the functions of these packages in the areas of HR, Marketing, Financial Accounting and Business Management.
LO4 Understand the broad ethical and legal issues that are raised by widespread use of technologies.
LO5 Have a detailed knowledge of the technologies and procedures necessary to ensure systems are reliable and secure
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements

As per programme requirements (outlined in 4.2.2 Minimum requirements for general learning)  
 

Module Content & Assessment

Indicative Content
Overview and purpose technology
Types of technology   Future strategies and business technology. Trends in technology and the future of technology in business General computing terminology Networking and telecommunications Cloud computing Emerging technologies
Application of data and metrics software to improve business
Commercial off the shelf (COTS) technology. Bespoke application development, internet and e-business User-centric applications Practical techniques to assess the integrity of data and avoid common pitfalls  How to analyse data and provide insights   Understand the theoretical concepts of big data, data mining etc.  Understanding of the General Data Protection Regulation (GDPR) and ethical issues concerning analytics and use of technology. Understand how to manage and secure information systems. Have a detailed knowledge of the technologies and procedures necessary to ensure systems are reliable and secure.
Role of technology in business strategy
Building the business case for technology, creating reports and charts How to build support amongst stakeholders  Application of technology and systems for business strategic goals  Understand IT infrastructure components, hardware platform trends and emerging technologies. Examine software platform trends and emerging technologies. Use of data and technology i.e. How to build-in monitoring capacity to get insight into online customer behaviour and return on investment, analysis of company financial statements
Examination of how technology can improve business outcomes
How to examine, evaluate and improve business outcomes from the use of technology in areas such as sales, marketing, productivity, human resources, customer service etc.  How to design technology systems/solutions through case studies and practical examples  System vulnerability and abuse Business value of security and control establishing a framework for security and control Technologies and tools for security.
Assessment Breakdown%
Coursework100.00%

Assessments

Full Time

Coursework
Assessment Type: Assignment % of total: 100
Assessment Date: n/a Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
Assignment: 2,500 3,000 words (Excluding bibliography and appendices). The project for this module will use the students “Business Challenge” identified in conjunction with the student at the start of the module. The student will be tasked with outlining their business challenge using a situation analysis and enumerating the objectives comprising the challenge. They will further be asked to, with reference to the principal technologies used in Small/Medium-Sized Businesses, select appropriate technologies to meet these objectives. The selection process must reference the business objectives and wider technology/ business to ensure a future proofed solution is being proposed.
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
Reassessment Description
Candidates will attempt the repeat assessment for the module, if they do not successfully pass the module. Learners are required to attempt all assessments attaching to a module. For those modules where all learning outcomes are assessable with a final examination, the student does not have to re-sit failed individual CA components.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Classroom and demonstrations 24 Per Semester 2.00
Tutorial Mentoring and small-group tutoring 12 Per Semester 1.00
Independent Learning Independent learning 89 Per Semester 7.42
Total Weekly Contact Hours 3.00
 

Module Resources

Recommended Book Resources
  • Mehta, N. et al. (2019), Swipe to unlock: the primer on technology and business strategy, Ithaca, New York.
  • Trivedi, V. (2019), How to Speak Tech: The Non-Techie’s Guide to Key Technology Concepts, CA Apress, Berkeley.
Supplementary Book Resources
  • Barends, E. and Rousseau, D. (2018), Evidence-based management: how to use evidence to make better organizational decisions, Kogan Page, London.
  • Berenson, M., Levine, Szabat, K.A.. (2015), Basic Business Statistics, Global Edition - 13th. Pearson Education.
  • Ferrar, J. and Green, D. (2021), Excellence in People Analytics, How to Use Workforce Data to Create Business Value, Kogan Page, London.
  • Houghton, E. and Green, M. (2018), People analytics: driving business performance with people data, Chartered Institute of Personnel and Development, www.cipd.co.uk/knowledge/strategy/analytics/people-data-driving-performance.
  • Khan, N., Milliner, D. (2020), Introduction to People Analytics, A practical guide to data-driven HR, Kogan Page.
  • Marler, J.H. and Boudreau, J.W.. (2017), An evidence-based review of HR analytics, nternational Journal of Human Resource Management.
  • Mattox, J.R., Parsky, P. and Hall, C.. (2020), Learning analytics: using talent data to improve business outcomes, 2nd ed. Kogan Page.
  • Sclater, N. (2017), Learning analytics explained, Routledge, Abingdon.
  • Tucker, T. (2016), Technology business management: the four value conversations CIOs must have with their businesses, TBM Council, Bellevue, Wash.
This module does not have any article/paper resources
Other Resources
Discussion Note: