Dr Sam Buxton

Research Highlights

1. Buxton, S. & Stern, P. (2010). What comes first in brand decline: lower loyalty or lower patronage.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43659
2. Buxton, S., Nikolopoulos, K., Khammash, M., & Stern, P. (2011). Modelling and Forecasting Pharmaceutical Life Cycles.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43658
3. Buxton, S., Nikolopoulos, K., Khammash, M., & Stern, P. (2012). Modelling and Forecasting Pharmaceutical Life Cycles.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43657
4. Buxton, S., Nikolopoulos, K., Khammash, M., & Stern, P. (2013). Forecasting Pharmaceutical Life Cycles: A case study of how drugs are prescribed in the NHS in the UK.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43656
5. Buxton, S., Nikolopoulos, K., Khammash, M., & Stern, P. (2014). Forecasting Pharmaceutical Life Cycles.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43655
6. Buxton, S., Khammash, M., Nikolopoulos, K., & Stern, P. (2015). Forecasting Branded and Generic Pharmaceutical Life Cycles. In International Symposium on Forecasting

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25000
7. Nikolopoulos, K., Buxton, S., Khammash, M., & Stern, P. (2016). Forecasting branded and generic pharmaceuticals. International Journal of Forecasting, 32(2), 344-357.

   https://doi.org/10.1016/j.ijforecast.2015.08.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa25001
8. Buxton, S., Nikolopoulos, K., Khammash, M., & Stern, P. (2016). Forecasting Branded and Generic Pharmaceutical Life Cycles when the the Branded drug is outperforming the Generic.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43654
9. Buxton, S. (2016). Mind-mapping as an interactive seminar tool.

   SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43653
10. Buxton, S. (2017). Effective Team Teaching Using Reflection.

    SU Repository: https://cronfa.swan.ac.uk/Record/cronfa43652

All Research

• MN-2520 Business Analytics

  Business analytics as applied to big data is a game-changing opportunity for business practice. The last decade has seen an explosion in the volume of data collected by business and government ¿ providing opportunities to analyse behaviours at individual and macro- levels. The purpose of this module is to inform students as to the major concepts of business analytics ¿ both in theory and in practice from a strategic perspective.

• MN-D004 Dissertation (Directed Independent Learning)

  This module involves the completion of a dissertation. This can be a formal research project or involve the analysis of the current situation of a business. The module will require you to complete a literature review, methodology, results and discussion. The analysis for this dissertation can be either based on primary data (i.e. that which you collect yourself such as a questionnaire) or secondary data (i.e. data that has already been collected such as statistics and company reports). Students will use knowledge gained during the MSc management programme to complete this dissertation.

• MN-D019 Business Project

  This module offers students the opportunity to apply knowledge and skills developed in MN-M595 Business Project Foundations. Specifically, students will be adopting the Evidence-Based Management framework for investigation, where they will be tasked with a real-world problem from industry partners. In groups, students will investigate these problems and present recommendations and solutions, based on a robust exercise in evidence gathering and critical analysis. The focus on this module is developing understanding of the workplace research process and how best this can be done using an evidence-based management approach.

• MN-M534 Business Analytics

  Business analytics as applied to big data is a game-changing opportunity for business practice. The last decade has seen an explosion in the volume of data collected by business and government ¿ providing opportunities to analyse behaviours at individual and macro- levels. The purpose of this module is to inform students as to the major concepts of business analytics ¿ both in theory and in practice from a strategic perspective.

• MN-M549 Research Methods

  This module will provide an introduction to the fundamentals of research methods and methodologies to better prepare students on how to conduct a dissertation. The lectures and seminars will be split to cover both the theoretical and practical nature associated with research. They will cover all aspects of research methods: from what is research, the ethics associated with conducting research, the literature review, methodology and what types of research exist such as quantitative and qualitative. This module will highlight the links that exist between each stage of the research development process.

• MN-M595 Business Project Foundations

  As preparation for your business project, this module covers the fundamentals of evidence-based practice explaining how this can be applied across a range of relevant areas of management enquiry. Case studies on related business topics (drawing on concepts covered in other modules) will be used to illustrate this application within the practical workshops. Evidence comes in many forms, and this module combines critical thinking with information search and analysis skills as a means of supporting the business project. Often, little or no attention is given to the quality of evidence relied upon when understanding business issues and planning a response. This module addresses this by training students in techniques for critically evaluating the validity, generalizability and applicability of the evidence they have to hand, as well as how to find the best available evidence from a variety of sources. Across the sessions in this module, students will be provided with the necessary knowledge and skills to enable them to embark on their business project. Practical workshops will provide the opportunity to apply and evaluate what is learned in the lectures.

Paramedics and serious illness: communication training
BMJ Supportive & Palliative Care
2019-11-15 | journal-article
DOI: 10.1136/bmjspcare-2018-001734Part of ISSN: 2045-435XPart of ISSN: 2045-4368

Increasing the levels of Interaction among multicultural students using technology
Advance HE Teaching & Learning Conference 2018: Teaching in the spotlight: Learning from global communities
2018-07-04 | conference-poster

Increasing the level of interaction in large class international teaching: clickers v slido
Learning Teaching and Student Experience Conference (Chartered Association of Business Schools (CABS) 7th Annual Conference)
2018-04 | conference-abstract

Effective Team Teaching Using Reflection
Learning Teaching and Student Experience Conference (Chartered Association of Business Schools (CABS) 6th Annual Conference)
2017-04 | conference-poster

Mind-mapping as an interactive seminar tool
SALT 16 - Swansea Academy of Learning and Teaching Annual Conference
2016-07-03 | conference-abstract

Forecasting Branded and Generic Pharmaceutical Life Cycles when the Branded drug is outperforming the Generic
36th International Symposium on Forecasting (ISF),
2016-06 | conference-abstract

Forecasting Branded and Generic Pharmaceuticals
International Journal of Forecasting
2016-04 | journal-article
DOI: 10.1016/j.ijforecast.2015.08.001

Forecasting branded and generic pharmaceutical life cycles
35th International Symposium on Forecasting (ISF)
2015-06 | conference-abstract

Forecasting Pharmaceutical Life Cycles
34th International Symposium on Forecasting (ISF)
2014-06 | conference-abstract

Forecasting Pharmaceutical Life Cycles: A case study of how drugs are prescribed in the NHS in the UK
12th International Decision Sciences Institute (IDSI) and the 18th Asia-Pacific Decision Sciences Institute (APDSI) Conference
2013-07-11 | conference-abstract

Modelling and Forecasting Pharmaceutical Life Cycles
54th Operational Research (OR54) conference
2012-09-05 | conference-abstract 

Modelling and Forecasting Pharmaceutical Life Cycles
31st International Symposium on Forecasting (ISF)
2011-06-27 | conference-abstract

What comes first in brand decline: lower loyalty or lower patronage
39th European Academy of Marketing Conference (EMAC)
2010-06 | conference-abstract