Social entrepreneurship has been a topic of academic inquiry for nearly

Construct validity continues to pose challenges in the organizational sciences. To capture difficult-to-measure constructs of interest, researchers have often relied on content analysis. One content analysis technique, computer-aided text analysis (CATA), is particularly attractive because of the ability to process large samples with high speeds and reliabilities. Unfortunately, inconsistent guidance exists to guide researchers through the use of this tool in a manner compatible with accepted methods used to validate constructs in a rigorous manner. The authors review research using content analysis to examine the extent to which such studies integrate methods for assessing content, external, discriminant, and predictive validity. To provide direction for organizational researchers interested in using CATA to measure theoretically based constructs relevant to the management field, they suggest a number of possible procedures to enhance construct validity. They illustrate these procedures using the construct of entrepreneurial orientation.

Opportunity is a central concept within the entrepreneurship field, and there is now a critical mass of literature centered on the concept. The authors seek to make two main contributions to this literature. First, we provide a detailed review of research on the opportunity concept and the processes surrounding it, highlighting extant insights and future needs. Second, we describe ways that the entrepreneurship literature’s insights about the opportunity concept could be enhanced by research in other fields, both inside and outside business-related domains.

Microloans garnered from crowdfunding provide an important source of financial capital for nascent entrepreneurs. Drawing on cognitive evaluation theory, we assess how linguistic cues known to affect underlying motivation can frame entrepreneurial narratives either as a business opportunity or as an opportunity to help others. We examine how this framing affects fundraising outcomes in the context of prosocial lending and conduct our analysis on a sample of microloans made to over 36,000 entrepreneurs in 51 countries via an online crowdfunding platform. We find that lenders respond positively to narratives highlighting the venture as an opportunity to help others, and less positively when the narrative is framed as a business opportunity.

A long‐standing debate has focused on the extent to which different levels of analysis shape firm performance. The strategic group level has been largely excluded from this inquiry, despite evidence that group membership matters. In this study, we use hierarchical linear modeling to simultaneously estimate firm‐, strategic group‐, and industry‐level influences on short‐term and long‐term measures of performance. We assess the three levels' explanatory power using a sample of 1,165 firms in 12 industries with data from a 7‐year period. To enhance comparability to previous research, we also estimate the effects using the variance components and ANOVA methods relied on in past studies. To assess the robustness of strategic group effects, we examine both deductively and inductively defined groups. We found that all three levels are significantly associated with performance. The firm effect is the strongest, while the strategic group effect rivals and for some measures outweighs the industry effect. We also found that the levels have varying effects in relation to different performance measures, suggesting more complex relationships than depicted in previous studies. Copyright © 2007 John Wiley & Sons, Ltd.