A study note on longitudinal research for MBA dissertation projects (information from perplexity.ai)
My question 1: "What is longitudinal research all about with reference to the Business Management Research?"
The reply: "Longitudinal research in business management involves repeatedly collecting data from the same subjects or entities over an extended period to observe changes, developments, and trends. This method helps capture the dynamics of variables such as employee performance, customer satisfaction, market trends, and the impact of business policies or strategies over time. It enables researchers to detect causal relationships, understand development processes, and predict future trends, offering a deeper and more comprehensive understanding than cross-sectional studies. Despite challenges like higher costs and time requirements, longitudinal studies provide rich, contextual insights critical for informed decision-making in business contexts."
My question 2: "Comment on the feasibility of MBA students to use longitudinal research in their dissertation project works, with around 6 months' time constraint. Illustrate how it can be employed in a 6-month MBA dissertation project that studies the introduction of an AI-based staff meeting support system for a mid-sized shipping company in Hong Kong."
The reply: "Feasibility of MBA Students Using Longitudinal Research in 6 Months
Longitudinal research typically requires extended time to collect data across multiple points, making it challenging for MBA students with a 6-month dissertation timeframe due to time, resource, and respondent retention constraints3. However, a short-term longitudinal design with a limited number of data collection waves can be feasible if carefully planned and focused.
How to Employ Longitudinal Research in a 6-Month MBA Dissertation on AI-Based Staff Meeting Support System
Design: Conduct a short-term longitudinal study with 2-3 data collection points spaced over the 6 months to track changes in staff attitudes, meeting efficiency, or system usage after the AI system introduction23.
Data Collection: Use surveys, interviews, or system usage logs from employees at baseline (pre-introduction), mid-point, and end of the study period.
Focus: Measure key variables such as user satisfaction, perceived productivity, and challenges encountered to observe trends and causal effects over time.
Sample: Select a manageable sample size from the mid-sized shipping company to ensure data quality and respondent retention.
Analysis: Compare changes across time points to evaluate the impact and acceptance of the AI system.
Limitations: Acknowledge that the short timeframe limits long-term impact assessment but still allows valuable insights into initial adoption and adjustment phases.
This approach balances the depth of longitudinal insight with practical constraints, making it a viable method for MBA dissertations within 6 months35."
My question 3: "Please highlight 8 main ideas and principles for a longitudinal research design with 6-month time constraint for an MBA dissertation project."
The reply: "Here are 8 main ideas and principles for designing a longitudinal research project with a 6-month time constraint for an MBA dissertation:
Clear Objectives: Define precise research questions and objectives focused on changes over the 6-month period to ensure relevance and actionable insights9.
Appropriate Study Design: Choose a short-term longitudinal design with limited data collection points (e.g., baseline, mid-point, end) to fit the 6-month timeframe19.
Sampling Strategy: Use purposive or manageable sampling from the target population to ensure representativeness and maintain participant retention9.
Data Quality: Employ validated instruments and standardized protocols to ensure accuracy and reliability of repeated measurements9.
Minimize Attrition: Implement strategies like regular communication and incentives to reduce participant dropout during the study period9.
Ethical Considerations: Obtain necessary approvals and ensure informed consent, data privacy, and confidentiality throughout the study9.
Data Management: Establish secure and organized data storage and backup systems to handle longitudinal data efficiently9.
Analytical Techniques: Use suitable longitudinal data analysis methods (e.g., growth curve analysis, repeated measures) to detect trends and causal effects within the short timeframe9.
These principles help balance the depth of longitudinal insights with practical constraints of a 6-month MBA dissertation."
A collection of blog notes on using chatgpt for research purpose.
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