About
This webpage provides guidance for BSc, MSc, MBA and MRes students at the University of Glasgow’s Adam Smith Business School undertaking a dissertation/applied project under my supervision.
Dissertation Structure
There are some conventions that guide the structuring of dissertations in different subjects. The
following is the commonly used structure:
- Title Page
- Abstract
- Acknowledgements (optional)
- Contents Pages (including Table of Contents, List of Figures, List of Tables, List of Notations)
- Introduction
- Literature Review
- Methodology
- Results or Discussion or Findings
- Conclusion
- References
- Appendices (optional)
You should also check the dissertation requirements for your programme, including formatting guidelines and submission arrangements. If anything is unclear, please contact your programme administrator or course coordinator.
Literature Review
Business Journals
Here are three widely used lists of business journals. Some leading journals appear on all three lists.
The following are some well-regarded business journals that may be useful for your dissertation. This list is not exhaustive, and you are encouraged to explore relevant articles in other reputable journals.
Marketing, Tourism & Service
- Journal of Consumer Psychology
- Journal of Consumer Research
- Journal of Marketing
- Journal of Marketing Research
- Journal of the Academy of Marketing Science
- Marketing Science
- International Journal of Research in Marketing
- Journal of Retailing
- European Journal of Marketing
- Industrial Marketing Management
- International Marketing Review
- Journal of Advertising
- Journal of Advertising Research
- Tourism Management
- Annals of Tourism Research
- Journal of Sustainable Tourism
- Journal of Travel Research
- Journal of Service Research
Management, Information Systems & Operations Research
- Management Science
- Operations Research
- Manufacturing and Service Operations Management
- European Journal of Operational Research
- Mathematical Programming
- Journal of Operations Management
- Annals of Operations Research
- Production and Operations Management
- Computers and Operations Research
- Decision Sciences
- INFORMS Journal on Computing
- Mathematics of Operations Research
- Information Systems Research
- MIS Quarterly
- Journal of Management Information Systems
- Journal of the Association of Information Systems
- Journal of Information Technology
- Information Systems Journal
- European Journal of Information Systems
- Decision Support Systems
- Transportation Research, Series B: Methodological
- Transportation Science
Economics & Finance
- Journal of Financial Economics
- Journal of Finance
- Review of Financial Studies
- Journal of Corporate Finance
- Journal of Financial and Quantitative Analysis
- Journal of Money, Credit and Banking
- Review of Finance
- Annual Review of Financial Economics
- European Journal of Finance
Data Science, Machine Learning & Artificial Intelligence Conferences and Journals
If you are considering a dissertation topic involving data science, machine learning or AI, the following computer science journals and conferences are highly recommended. Unlike many other disciplines, particularly business studies, leading computer science conferences can carry similar academic standing to journals and play an important role in disseminating high-quality, cutting-edge research.
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- IEEE Transactions on Knowledge and Data Engineering (TKDE)
- ACM Transactions on Information Systems (TOIS)
- Journal of Machine Learning Research (JMLR)
- Journal of Artificial Intelligence Research (JAIR)
- IEEE Transactions on Evolutionary Computation (TEVC)
- IEEE Transactions on Cybernetics (TCYB)
- IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC)
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- International Conference on Machine Learning (ICML)
- Annual Conference on Neural Information Processing Systems (NeurIPS)
- AAAI Conference on Artificial Intelligence (AAAI)
- International Joint Conference on Artificial Intelligence (IJCAI)
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD)
- IEEE International Conference on Data Mining (ICDM)
- ACM International Conference on Web Search and Data Mining (WSDM)
- ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- ACM Conference on Recommender Systems (RecSys)
- ACM International Conference on Information and Knowledge Management (CIKM)
- IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- IEEE/CVF International Conference on Computer Vision (ICCV)
- Annual Meeting of the Association for Computational Linguistics (ACL)
- Conference on Empirical Methods in Natural Language Processing (EMNLP)
If you would like to further study data science and machine learning in your project, and would like
to ask my advice for directed studies, my DSML Reading
Lists can be
useful.
Data
Ethics Application
If your research involves human participants, materials or data that are not publicly available, you may need ethical approval. Please consult the
UofG Ethics Guidance in regarding the ethics application process for undergraduate and
postgraduate taught students or contact your programme administrative officer if you have anything not clear.
Publicly Available Data
The following data sources may be useful for your dissertation. Suggestions for other publicly available datasets are very welcome, please let me know and I will add them here.
Crowdsourcing Platforms/General Datasets
Other Datasets