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This paper draws attention to a new dimension of organization, the semiformal organization, and it reveals how the allocation of different membership forms can render knowledge-intensive organizations more flexible and exploratory in their knowledge creation efforts without sacrificing the functions stably enacted via the formal organization. Most knowledge-intensive organizations seek to create new spaces for collaborations through formally prescribed departments and divisions or through serendipitous, emergent, informal associations (i.e., the formal and informal organization). However, organizations also strategically manage what we call the "semiformal organization" to guide the creation of new work relations and encourage innovation. These secondary memberships are organizationally sponsored and directly related to the organizations' core research functions, but they are voluntarily joined. As such, they are distinct from formal and informal memberships. On the basis of extensive longitudinal analyses of research initiatives at Stanford University, we find that the semiformal organization provides a compelling channel through which organizations can shape employees' collaborations and overall productivity.

AbstractRelational event network data are becoming increasingly available. Consequently, statistical models for such data have also surfaced. These models mainly focus on the analysis of single networks; while in many applications, multiple independent event sequences are observed, which are likely to display similar social interaction dynamics. Furthermore, statistical methods for testing hypotheses about social interaction behavior are underdeveloped. Therefore, the contribution of the current paper is twofold. First, we present a multilevel extension of the dynamic actor-oriented model, which allows researchers to model sender and receiver processes separately. The multilevel formulation enables principled probabilistic borrowing of information across networks to accurately estimate drivers of social dynamics. Second, a flexible methodology is proposed to test hypotheses about common and heterogeneous social interaction drivers across relational event sequences. Social interaction data between children and teachers in classrooms are used to showcase the methodology.

The primary means of social and intellectual reproduction in the professoriate is through mentoring doctoral students who become faculty mentors and publish research. However, opportunities to transition into such roles are not equal, and underrepresented groups face challenges building and sustaining their representation in the professoriate. What are social resources enabling them to overcome these challenges? To study this, the authors analyze nearly all PhD recipients in the United States from 1980 to 2015 (~1.03 million) and follow their careers. Women and underrepresented minorities are less likely to transition into academia than men and whites, but their chances increase when they are paired with same-attribute advisors and when they have significant group representation in their departments. In contrast, men and white scholars receive no costs or benefits from different- or same-attribute advisors. These findings warrant inspection to see how such relations can be fostered in all mentors.

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We investigate how sociology students garner recognition from niche field audiences through specialization. Our dataset comprises over 80,000 sociology-related dissertations completed at U.S. universities, as well as data on graduates' pursuant publications. We analyze different facets of how students specialize—topic choice, focus, novelty, and consistency. To measure specialization types within a consistent methodological frame, we utilize structural topic modeling. These measures capture specialization strategies used at an early career stage. We connect them to a crucial long-term outcome in academia: becoming an advisor. Event-history models reveal that specific topic choices and novel combinations exhibit a positive influence, whereas focused theses make no substantial difference. In particular, theses related to the cultural turn, methods, or race are tied to academic careers that lead to mentorship. Thematic consistency of students' publication track also has a strong positive effect on the chances of becoming an advisor. Yet, there are diminishing returns to consistency for highly productive scholars, adding important nuance to the well-known imperative of publish or perish in academic careers.