This course is designed with the goal of equipping students with knowledge on how to systematically collect, manage and report field data. It is intended to particularly benefit students who are planning to collect primary data from small and medium enterprises [organizations], NGOs, and other resource-challenged communities in emerging markets. This course is also the main preparatory course for students engaged in the Student Multidisciplinary Applied Research Teams (SMART) projects over the winter intersession and, the prequisite course for AEM 4421 & AEM 5421 offered in the spring semester. As a result, the syllabus is designed to provide both a theoretical grounding and practicum opportunity that promote theoretical applications and multidisciplinary team collaboration and learning.

Outcome 1
Develop a stronger understanding of the legal and ethical considerations for research dealing with human participants.

Outcome 2
Increased awareness and sensitivity of global trends and issues that might promote social, economic, technological, and policy development within resource-poor counties, organizations, and communities.

Outcome 3
Able to identify and employ various resources that will promote meaningful cross-cultural and multidisciplinary communication, learning, and working to solve an applied business problem.

Outcome 4
Able to apply, use, and synthesize multiple environmental scanning frameworks in analyzing the macro and micro-environments of social enterprises in emerging markets.