BUSINESS RESEARCH METHODS - 2022/3

Module Overview

The Business Research Methods module aims to provide students with the necessary skills and knowledge to determine the information necessary to address the identified basic or applied research problem and, using these skills and knowledge, develop an actionable research proposal. Students will gain an understanding of relevant approaches, elements, and stages of undertaking a research enquiry to provide insights to solving a relevant business problem. Students will develop core competence required to carry out a research enquiry, including identifying and formulating research problems, setting appropriate research objectives, selecting and applying appropriate research approaches, secondary and primary data collection and instruments, sampling and analysis methods, as well as the importance of ethical conduct in business research. This module discusses different methods and techniques essential to the execution of effective, coherent, and rigorous research for informed business decisions and practices.

Module provider

Hospitality & Tourism Management

Module Leader

KNOX Dan (SII DUFE)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 6

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

Module Availability

Semester 1

Prerequisites / Co-requisites

None

Module content

• Role of business research: informed business decisions and practices


• Business research process: types of business research and stages of the research process


• Defining a research problem: the foundation of business research  


• Formulating research aims and objectives 


• Critically reviewing the literature


• Developing a conceptual framework


• Qualitative and quantitative research tools 


• Obtaining secondary data in the digital age 


• Collecting primary data


• Survey research


• Observation methods


• Experimental research 


• Measurement and scaling concepts


• Questionnaire design 


• Sampling design and sampling procedure 


• Working with data 


• Analysing qualitative data


• Quantitative statistical analyses 


• Negotiating access and ethical issues in research

Assessment pattern

Alternative Assessment

No Alternative Assessment 

Assessment Strategy

The assessment strategy is based on an individual Research Brief of 1000 words and an individual Research Proposal of 2500 words.

Assignment 1, Research Brief, is constructed to allow students to demonstrate their ability to identify business problem, the nature of information that needs to be sourced, and actionable research objectives which will be useful for managers to decide a strategic direction to address the problem. Assignment 2, Research Proposal, is designed to be the culmination of the students' work in this module, allowing them to demonstrate their ability to develop and communicate a business research plan.

Formative feedback for will be provided at the first supervision meeting to allow students to continue with the preparation of Research Brief and Research Proposal submission.

Module aims

• Critically assess the role of research in business decisions.
• Introduce the fundamentals of business research process.
• Enable students to define research problems and formulate research questions.
• Provide students with an introduction to qualitative and quantitative research methods.
• Explain the differences between quantitative and qualitative data collection techniques and analysis procedures.
• Develop an ability to compose a detailed research proposal on a relevant research topic.
• Identify ethical aspects of research and understand how to embed them into research practice.

Learning outcomes

Methods of Teaching / Learning

The teaching and learning strategy for this module is designed to encourage students to think critically about the different stages of the business research process and to engage in evaluating the different research methods and techniques.

A. The principal teaching and learning method is a 2-hour weekly session with 1-hour seminar including several elements that achieve to module learning outcomes:

• Lectures delivered by the module tutors designed to develop an understanding of theory.


• Student-led class discussions of mini case studies and research scenarios to put theory into application and transform the acquired knowledge into practice.

B. Students are expected to support the work undertaken during each lecture by undertaking a number of independent learning activities:

• Preparatory reading with questions to guide their note taking.


• Follow up exercises to consolidate their learning, where appropriate applying this to new situations.


• Guided further reading to enable them to extend their knowledge and understanding.

C. The University’s virtual learning environment (SurreyLearn) will be used to support student learning by providing them with additional resources and links to useful websites. SurreyLearn will also be used for further discussion of the module topics between the students and the lecturers as well as the students and their colleagues. Additionally, PowerPoint presentations and case studies used by the lecturers will be placed on SurreyLearn before the lecture so that students may print off copies in time for the lecture.

The ethos of this module is that students will learn best when they become active participants in the learning process and this is reflected in all elements of the module design. For example: Students will be expected to participate in lectures and undertaking a range of other tasks. Students will be expected to actively engage in any statistics practical classes held in the computer labs. Not all elements of the curricula will be covered in detail in the lecture programme, students will be expected to find things out for themselves. Students will be expected to prepare for all lectures by undertaking the pre-reading.

The learning and teaching methods include:

• Lectures


• Seminars


• Computer workshops


• SurreyLearn online materials and training

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: MAN3160

Other information

NONE

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.