Business Research

Dr Jill Collis, BA (Hons), PhD, has a business background. Her subsequent experience as a mature student gave her considerable insight into the needs of students and those who teach them, which is reflected in her writing. She started her academic career as a research associate in the Small Business Research Centre at Kingston University London in 1998. From 2010 to 2019 she was Reader (Associate Professor) in Accounting at Brunel University London, where she was the founding director of the Accounting and Auditing Research Centre. Jill’s research has contributed to the ‘think small first’ approach in UK company law and policy on better regulation to reduce burdens on smaller entities. Internationally, she is recognised as a leading scholar on the financial reporting and auditing needs of small and micro-companies. In 2015 she received the Best Supervisor Award from the Union of Brunel Students and an award from Brunel’s College of Business, Arts and Social Sciences in recognition of her outstanding contribution to the student experience. Dr Roger Hussey is a Fellow of both the Association of Chartered Certified Accountants and holds an MSc in Industrial Relations and a PhD in Accounting from the University of Bath. He has published many books and articles on accounting and management subjects. After several years in industry, he was appointed Director of Research into Employee Communications at the Industrial Relations Unit, St Edmund Hall, University of Oxford. After six years at Oxford, he moved to the University of the West of England. In 2000 Roger became the Dean of the Odette School of Business in Windsor, Canada. He is now Emeritus Professor at the University of the West of England and the University of Windsor.

1. Understanding Research
2. Dealing with Practical Issues
3. Identifying your Research Paradigm
4. Designing the Research
5. Searching and Reviewing the Literature
6. Writing your Research Proposal
7. Collecting Qualitative Data
8. Analysing Qualitative Data
9. Integrated Qualitative Data Methods
10. Collecting Data for Statistical Analysis
11. Analysing Data Using Descriptive Statistics
12. Analysing Data Using Inferential Statistics
13. Writing your Dissertation or Thesis
14. Publishing your Research
15. Troubleshooting.