Tatiana Sandino

Tatiana Sandino is an Associate Professor of Business Administration in the Accounting and Management Unit, teaching the first-year required MBA course Financial Reporting and Control. Prior to joining the HBS faculty, she was an assistant professor at the Marshall School of Business, University of Southern California, where she taught management accounting to evening MBA students and undergraduate accounting majors, and received the Dean’s Award for Research Excellence.

Professor Sandino''s research examines how organizations use different control mechanisms to lead employees at the executive, middle management, and lower levels toward the achievement of common goals in an organization. She is particularly interested in chain organizations, where control mechanisms can allow firms to successfully replicate a business model across different locations, and in issues concerning executive compensation. Her work has been published in The Accounting Review, the Journal of Accounting and Economics, the Journal of Accounting Research, and Contemporary Accounting Research, and it has been featured in media venues such as The Wall Street Journal, the Financial Times, The Huffington Post, and CNBC.

Professor Sandino earned a DBA in accounting and management at Harvard Business School; an MBA at INCAE Business School, Managua, Nicaragua; and a BS in industrial engineering at the Universidad de Costa Rica, San José, Costa Rica.

Education

• Doctorate in Business Administration Harvard Business School
• Master of Business Administration INCAE Business School, Managua, Nicaragua
• Bachelor of Science in Industrial Engineering Universidad de Costa Rica, San José, Costa Rica

Companies

• Associate Professor Harvard Business School (2012)
• Assistant Professor USC Marshall School of Business (2004 — 2012)
• Researcher and Teaching Assistant INCAE Business School (1997 — 1999)
• Banking and Finance Researcher INCAE Business School (1996 — 1996)

Skills

• Business Strategy
• Management
• Higher Education

Other

Financial Analysis, Research, Data Analysis