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Sukanlaya is a researcher with a primary focus on the psychology aspects of small business/entrepreneurship and innovation management. Her research is framed by three broad topics, each offering unique insights into the intersection of entrepreneurship, innovation, and well-being.  

The first area of focus is small business and innovation. In this area, she seeks to identify critical factors that go beyond finance to promote innovation in small businesses. By exploring the psychological aspects that drive innovation, Sukanlaya aims to help small businesses unlock their potential for growth and success.

The second area of focus  is small business and well-being. She draws on the perspective that the measurement of small business success should not only be captured by economic growth but instead should include the procedures that lead to economic outcomes, such as entrepreneurs’ mental health and well-being. By placing a greater emphasis on well-being within small businesses, Sukanlaya hopes to promote more sustainable models of entrepreneurship.

Thirdly, Sukanlaya's third area of focus is technological innovation and well-being. Here, she examines how digital initiatives can enhance or hinder small business well-being and learning. By exploring whether impacts differ across cultures, she hopes to help entrepreneurs navigate an increasingly complex technological landscape.

Sukanlaya's current research focus is on the crucial intersection of sustainability and entrepreneurship. Specifically, she is exploring how entrepreneurs in remote areas can create sustainable businesses while maintaining their own well-being. This topic is not only timely but also essential for promoting economic growth in rural communities and preserving the environment for future generations. Sukanlaya's dedication to this research area reflects her passion for creating positive change through innovative thinking and practical solutions.
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Read her article about why middle-aged entrepreneurs are better than young ones
Full research publication list  
Psychometric properties