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This paper aims to present a new survey data set of 9,065 private sector respondents and other stakeholder groups, in Myanmar. The primary aim of this paper is to offer new insight avenues on local business–conflict–development interactions, and offer the full survey data set itself as an open-source research tool for scholars and practitioners.

The survey was conducted over smartphone in 2018. It asked questions that aimed to better understand the relationships between business, ethnic conflict, investment, corporate social responsibility and the United Nations sustainable development goals in Myanmar and in Rakhine State in particular.

The data set captures a series of significant differences in corporate leadership perspectives on the role of business in society, across sectors (e.g. banking, agriculture, retail, manufacturing, extractives) and variations across firm country of ownership (e.g. national firms, Global North firms, Indian firms, Chinese firms).

The authors conclude with a brief discussion of possible research findings from the survey, offering suggestions for possible forward analysis. The authors offer here the raw survey data as an attachment for full global open-source use and application.

This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set.

The authors briefly discuss social implications as well, particularly regarding the role of business in peacebuilding and development.

This data set offers a unique window into stakeholder perceptions and understandings of working through conflict, and the role of business in development in a fragile conflict-affected state (Myanmar). The authors also conduct two example analyses of the data set using ANOVA and Kruskal–Wallis tests to illustrate possible uses and findings of the data set.