Developing a Comprehensive Framework for Quantitative Research Methods in Economics, Business, and Management

Area of Science:

• Social Sciences
• Quantitative Research Methods
• Methodological Literacy

Background:

• Increasing scholarly publications in social sciences, driven by big data and artificial intelligence.
• Scarcity of comprehensive syntheses on quantitative research methods.
• Challenges for early-career researchers and graduate students in method selection.

Purpose of the Study:

• Propose a conceptual framework for structured guidance on quantitative techniques.
• Enhance methodological literacy among researchers.
• Support informed decision-making in academic publishing and research design.

Main Methods:

• Integration of applied statistics and operations research.
• Development of a conceptual framework spanning basic to advanced analytics.
• Utilizing a static-dynamic continuum for technique categorization.

Main Results:

• Provides a structured guide for selecting quantitative research methods.
• Empowers novice scholars to navigate complex technique choices.
• Aims to mitigate the over-reliance on a limited set of methods in economics, business, and management.

Conclusions:

• The proposed framework enhances methodological literacy and supports effective technique selection.
• Facilitates informed decision-making for researchers in the era of big data and AI.
• Addresses the need for comprehensive guidance in quantitative social science research methods.