The Mini Tracks for ECRM
- Mixed Methods for Research
- The use of AI in research contexts
- Quantitative Methodologies for Finance and Business Research
Mixed Methods for Research
Mini Track Chair: Anabela Mesquita and Adriana José de Oliveira, ISCAP-IPP, Portugal
Whilst it is easy to give mixed methods research a simple definition of any research which combined both quantitative and qualitative research principles it is a methodology which can be hard to fully understand and implement.
The use of Mixed Methods research has only continued to increase and build momentum over the last decade. This has led to ever increasing interest by both experienced and early career researchers undertaking this research technique. Despite this, there remain sceptics of mixed methods and others who do not really understand, or misinterpret what mixed methods really means. This mini track is interested in papers that address the topic from different perspectives.
Suggested topics include but are not limited to:
- The nature of mixed method research
- How to collect mixed method data
- Why use a mixed method approach to data collection
- Analysing and interpreting data in mixed method research
- The various models of mixed method research
The use of AI in research contexts
Mini Track Chair: José Manuel Azevedo and Ana Azevedo, CEOS.PP, ISCAP-IPP, Portugal
The use of Artificial Intelligence (AI) is now becoming widespread in our society. AI tools, such as ChatGPT, pose important challenges, which in turn imply transformations and present some risks to society in general. These transformations and risks can also be seen in relation to the scientific community.
This mini track aims to provide an opportunity to reflect on the aspects related to the use of AI tools in research contexts. These include all stages of the research process, namely searching, writing, and reviewing. The chairs encourage submissions with critical analysis, presenting frameworks for the adequate use of AI, case studies, and literature reviews.
Topics of interest include but are not limited to:
- The role of AI in research
- Ethical issues on the use of AI
- AI peer-reviews
- Scientific writing
- Impacts of AI in academic research.
Quantitative Methodologies for Finance and Business Research
Mini Track Chair: Rui Bertuzi and Cristina Lopes, CEOS.PP, ISCAP, Polytechnic of Porto
The availability of increasingly complex and comprehensive data requires research methodologies capable of handling large volumes of data.
The use of quantitative methodologies in conjunction with different software makes it possible to organise data in such a way as to extract increasingly rich and comprehensive information, providing the answers researchers need.
Finance as well as more general Business issues are areas where the use of this methodology predominates. Quantitative research methodologies can help to obtain insights from these data, providing decision-makers with scientifically based knowledge to create more profitable businesses.
This mini track will provide network opportunities and an open forum for academics, doctoral students, and practitioners to present new research results, and discuss current and challenging issues in Finance and Business based on quantitative methodologies.
We invite both theoretical and empirical contributions, and encourage collaboration between individuals and groups within these sectors. Suggested topics include but are not limited to:
- Econometric Models;
- Structural Equations Models for Finance and Business;
- Blockchain Technology in Finance;
- Big Data Analysis for Business;
- Forecasting Methods for Finance and Business;
- Quantitative Methods Applied to Business.