Equity financing in entrepreneurship primarily includes venture capital, corporate venture capital, angel investment, crowdfunding and accelerators. We take stock of venture financing research to date with two main objectives: a) to integrate, organize and assess the large and disparate literature on venture financing; and b) to identify key considerations relevant for the domain of venture financing moving forward. The net effect is that organizing and assessing existing research in venture financing will assist in launching meaningful, theory-driven research as existing funding models evolve and emerging funding models forge new frontiers.

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Computer-aided text analysis (CATA) is a form of content analysis that enables the measurement of constructs by processing text into quantitative data based on the frequency of words. CATA has been proposed as a useful measurement approach with the potential to lead to important theoretical advancements. Ironically, while CATA has been offered to overcome some of the known deficiencies in existing measurement approaches, we have lagged behind in regard to assessing the technique’s measurement rigor. Our article addresses this knowledge gap and describes important implications for past as well as future research using CATA. First, we describe three sources of measurement error variance that are particularly relevant to studies using CATA: transient error, specific factor error, and algorithm error. Second, we describe and demonstrate how to calculate measurement error variance with the entrepreneurial orientation, market orientation, and organizational ambidexterity constructs, offering evidence that past substantive conclusions have been underestimated. Third, we offer best-practice recommendations and demonstrate how to reduce measurement error variance by refining existing CATA measures. In short, we demonstrate that although measurement error variance in CATA has not been measured thus far, it does exist and it affects substantive conclusions. Consequently, our article has implications for theory and practice, as well as how to assess and minimize measurement error in future CATA research with the goal of improving the accuracy of substantive conclusions.

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Role theories examine how individual behavior is shaped by prevailing social roles and provide insights into how behavior is perceived by others in light of such roles. Current movements for police reform as well as the landmark decision by the U.S. Supreme Court concerning the employment rights of LGBTQIA individuals have brought conversations concerning roles and their potential impact to the forefront of public discourse. Academic perspectives in management research have aided in building knowledge concerning how roles impact individuals and organizations in a variety of research domains, including entrepreneurship, human resource management, organizational behavior, and strategic management. While the utilization of role theory has gained tremendous momentum over the past two decades, its central tenets are often blurred given that several related but unique perspectives surrounding roles exist in the literature. We trace the origins and development of specific role theories by defining central constructs to bring clarity to the conceptual ambiguities between various role theories and key concepts. Next, we provide an integrative review of empirical role research in management journals over the past 20 years. Here, we identify the five most prominent research themes in the management literature: roles and identity, work–nonwork interface, biases and stereotypes, career life cycles, and ethics and other-oriented behavior. Finally, we provide an agenda for future research that highlights missed opportunities in management research that draws from the key themes identified in our review.