Person:

Wu, Andy

The mobilization of resources is a central and defining feature of entrepreneurship. As the body of empirical research on entrepreneurial resource mobilization has grown, the literature has become increasingly fragmented. We review the literature on entrepreneurs’ mobilization of resources, spanning human, social, financial, and other forms of capital. We identify five critical issues that hold back progress in resource mobilization research. We then propose a path ahead for future research guided by two overarching goals. First, we advocate for a process perspective, focusing attention on how an individual actor’s disposition and situation shape her responses, how these responses interact with those of other actors, and how these individual and collective responses unfold over time to generate outcomes. Second, we call for stronger unification of theory within the entrepreneurial resource mobilization literature and across contiguous conversations in strategy and organization theory. Theoretical consilience will enable the accumulation of empirical research into a cohesive body of knowledge on entrepreneurial resource mobilization.

Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of decentralized users who connect with a platform lie outside the boundaries of the platform-owning firm, whereas the accumulated data derived from that installed base exists internal to the boundaries of the firm and under firm control. Accounting for this distinction brings forth two key departures from their theory. First, the decentralized structure of a platform ecosystem makes value capture by the platform an essential consideration when analyzing the implications of data-driven learning for users. Because AI and data allow a platform to increase the share of value the platform owner captures from the users, the value perceived by users can often decline. Second, as an internal asset of the platform firm, data from users and complementors exhibits different dynamics compared with the dynamics that govern the installed base itself. As a result, the quantity and quality of the platform’s stock of data are only loosely coupled with the size of the platform’s installed base. We highlight the strategic implications of this distinction for a manager launching a new multi-sided platform.

Software platforms create value by cultivating an ecosystem of complementary products and services. Existing explanations for how a prospective complementor chooses platforms to join assume the complementor has rich information about the range of available platforms. However, complementors lack this information in many ecosystems, raising the question of how complementors learn about platforms in the first place. We investigate whether attending a temporary gathering—a hackathon—impacts the platform choices of software developers. Through a large-scale quantitative study of 1,302 developers and 167 hackathons, supported by qualitative research, we analyze the multiple channels—sponsorship, social learning, knowledge exchange, and social coordination—through which hackathons serve as a social forum for the diffusion of platform adoption among attendees.