EVIDENCE-BASED DECISION MAKING (APPRENTICESHIP) - 2022/3

Module code: MAN2181

Module Overview

Evidence based decision making enables managers to make decisions based on the best available and relevant experiential and contextual evidence, and evidence gathered from research. Learners successfully completing this module will have developed critical thinking skills that enables them to analyse and synthesise complex ideas grounded in the application of existing theories and methodologies of data collection and analysis.

Learners will be supported to identify the benefits and challenges of data collection and analysis and enable justification of selected methodologies as appropriate to the workplace.

This module will also consider the internal and external influences on decision making including socio-economic drivers and ethical influences.

Module provider

Surrey Business School

Module Leader

HOLLAND Anna (SBS)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 5

JACs code:

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

Overall student workload

Workshop Hours: 7

Independent Learning Hours: 43

Module Availability

Teaching block 1

Prerequisites / Co-requisites

None

Module content

Indicative content includes:

• Theories and models of decision making, including evidence-based decision making

• Internal and external influences on decision making

• Research processes including formulating aims and questions

• Qualitative and quantitative data

• Data collection and analysis techniques

Assessment pattern

Assessment type Unit of assessment Weighting
Coursework Individual written assignment to evaluate key concepts studied in the module (Maximum 2000 words) 60
Coursework Individual analysis of internal and external factors affecting decision making in the workplace (Maximum 1000 words) 40

Alternative Assessment

N/A

Assessment Strategy

The assessment strategy is designed to provide learners with the opportunity to demonstrate all intended module learning outcomes, knowledge, skills and behaviours, and to provide maximum opportunity for applied learning.

Thus, the summative assessment for this module consists of:

Assessment 1 Individual written assignment to evaluate research, data analysis and decision-making theories and techniques and their application in the workplace (maximum 2000 words).

Assessment 2 Learners are required to carry out an analysis of the internal and external factors affecting the decision-making process in their organisation and make recommendations for how to either mitigate or maximise key factors for the benefit of the organisation. Learners may wish to utilise methods such as the application of SWOT or PESTLE analysis to frame their analysis (maximum 1000 words).

Formative assessment Learners will work regularly in groups and as individuals, participating in classroom or online discussion forums, webinars etc., to demonstrate their understanding of the subject contents and application.

Feedback

Learners will be given formal feedback on their assessments in line with the University’s policy on assessment and feedback, and within the current three-week feedback period. Learners will receive regular, informal feedback on their contribution throughout the module.

Module aims

  • This module aims to provide learners with a detailed understanding of how the use of data and research processes can be applied to the workplace to support managerial decision making. Learners will be able to distinguish between different research methodologies and processes and their application in the workplace. Learners will be supported to explore the internal and external factors that influence decision making in organisations.

    The module will enable learners to undertake independent research and support significant projects and change initiatives.

Learning outcomes

Attributes Developed
001 Apply decision making theories and models to a business management context CKP
002 Explain the impact of internal and external influences on decision making CK
003 Understand the research process to identify and analyse issues in the workplace CKT
004 Understand the stages of the research process and how to formulate research aims and questions CK
005 Distinguish between qualitative and quantitative data and identify appropriate situations in which to use them CKT
006 Identify appropriate data collection techniques and analysis procedures CKT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The hours listed within the overall student workload section represent off-the-job learning.

The learning and teaching strategy is designed to incorporate a blended learning approach, centred around the key online learning design principles of – Learner-centred; Useful; Engaging; Flexible; Consistent; Supportive and Accessible.

In line with the Apprenticeship Off the Job Training guidance, the teaching and learning undertaken on this module will reflect the following categories of training:

1. Teaching of Theory – may include lectures, role play, simulation exercises, online learning, research and networking)

2. Practical Training – may include shadowing, mentoring, industry visits and participation in competitions

3. Learning support and time spent writing assignments and partaking in assessments

4. Reflective learning and self-evaluation to impart new knowledge, skills and behaviours only.

Learners completing this module will undertake a combination of campus-based sessions and online directed learning activities supported through SurreyLearn.

Learners, with support from their employers, will be expected to demonstrate accountability and commitment to effectively managing their agreed off-the-job training hours to complete required learning activities and assessments.

Learners should take an active part in any asynchronous activities such as forums, wikis, blogs etc., as well as synchronous activities (i.e. virtual meetings, webinars etc.) as appropriate. Participation in these activities will be essential to the successful achievement of the learning outcomes in this module.

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: MAN2181

Other information

Through completion of the learning and assessments for this module, it is expected that most learners will be able to produce suitable evidence for their Portfolio of Evidence to fully or partially meet specific assessment criteria for the following areas of the Chartered Manager Degree Apprenticeship Standard. Learners may also refer to the CMDA Assessment Plan for further information. Operational Strategy 1.1. How to develop and implement organisational strategy and plans, including approaches to resource and supply chain management, workforce development, sustainability, taking and managing risk, monitoring and evaluation, and quality assurance(K) 1.5. Produce reports that clearly present information and data, using a range of interpretation and analytical processes (S) Sales and Marketing 4.4. Use customer insight and analysis of data to determine and drive customer service outcomes and improve customer relationships (S) 4.5. Use creative approaches to developing solutions to meet customer need (S) Digital Business and New Technologies 5.2. Innovation and digital technology’s impact on data and knowledge management for analysing business decision-making (K) 5.3. Identify service/organisational improvements and opportunities for innovation and growth, using qualitative and quantitative analysis of information and data and benchmarking against others (S) Communication 6.5. Use active listening and open questioning to structure conversations and discussions, and able to challenge when appropriate (S) Decision Making 12.1. How to undertake research, data analysis, problem solving and decision-making techniques (K) 12.3. Use evidence-based tools and ethical approaches to undertake problem solving and critical analysis, synthesis and evaluation to support decision making (S) K – Knowledge S – Skills B – Behaviours Degree apprenticeships are delivered over three teaching blocks: • Teaching Block 1 - September - December • Teaching Block 2 - January - April • Teaching Block 3 - May - August

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 2022/3 academic year.