Cultures’ Outcomes on Entrepreneurship, Innovation, and National Quality of Life

This theoretical and empirical study applies complexity theory tenets to deepen understanding, explanation, and prediction of how configurations of national cultures and need motivations influence national entrepreneurial and innovation behavior and nations’ quality of life (QOL). Also, the study examines whether or not high national ethical behavior is sufficient for indicating nations high in quality of life. Applying core tenets of complexity theory, the study constructs asymmetric, case-based (nations), explanation, and predictive models of cultures’ consequences (via Schwartz’s seven value dimensions) and implicit need motivations (via McClelland’s three need motivations) indicating national entrepreneur and innovation activities and subsequent national quality of life and ethical behavior. The study includes testing configuration models empirically for predictive accuracy. The empirical examination is for a set of data for 24 nations in Asia, Europe, North and South America, and the South Pacific. The findings confirm the usefulness of applying complexity theory to learn how culture and motivation configurations support versus have negative consequences on nations’ entrepreneurship, innovation, and human well-being. Nurturing of entrepreneur activities supports the nurturing of enterprise innovation activity, and their joint occurrence indicates nations achieving high quality of life. The findings advance the perspective that different sets of cultural value configurations indicate nations high versus low in entrepreneur and innovation activities. High entrepreneur activities without high innovation activity are insufficient for achieving high national quality of life. Achieving high ethical behavior supports high quality of life. This study is one of the first to apply complexity theory tenets in the field of entrepreneurship research. The study here advances the perspective that case-based asymmetric modeling of recipes is necessary to explain and predict entrepreneur activities and outcomes rather than examining whether or not variable relationships are statistically significant from zero.