嘉　宾：刘嫣然  助理教授 University of Cincinnati

主持人：罗继锋  副教授  上海交通大学安泰经济与管理学院

时　间：2024年06月18日（周二）14:00-15:00

地　点：上海交通大学 徐汇校区安泰经济与管理学院A303

内容简介:

Organizing individuals to achieve collective performance, given their limited attention, is well-studied in organizational settings but understudied in open-source software (OSS) development. Unlike organizations, where managers direct individuals’ attention through hierarchical decision-making, OSS projects allow developers to self-allocate their attention to issues (e.g., feature requests or bugs) and modules (i.e., software components). We theorize collective attention configurations that emerge from such self-allocated attention. For collective attention in the domain of issues or modules, we identify four configurations: division, interlacing, interlocking, and integration. Interlacing and interlocking balance division and integration. Interlacing suggests developers separate their primary foci but overlap their secondary foci with others’ (primary or secondary) foci. In contrast, interlocking suggests flipping the choices: overlapping the primary but separating the secondary. Across domains of issues and modules, the collective attention configurations can be isomorphic or heteromorphic. Through analyzing 4,389 release cycles of 1,024 GitHub machine-learning projects, we find that dual interlacing (i.e., interlacing in the domains of both issues and modules) is sufficient to achieve high performance of OSS development in terms of speed, novelty, and quality. We also uncover contingencies—related to issue-to-module connectivity, project ownership, and release cycle length—that either restrict the effectiveness of dual interlacing or make simple division or integration an effective substitute for interlacing in one or both attentional domains. Our study advances the understanding of self-organization in OSS projects and enriches the discourse on attention management in collectives.

演讲人简介：

Dr. Yanran Liu is an Assistant Professor in the Department of Operations, Business Analytics and Information Systems, Carl H. Lindner College of Business, University of Cincinnati. She received her Ph.D. in the Center for Digital Innovation, J. Mack Robinson College of Business, Georgia State University. Her expertise lies in open collaboration, bots, and digital business strategy. She has used diverse research methods, including set-theoretic approaches, econometrics, and computational techniques, in her research. She served as an editorial assistant for MIS Quarterly from 2017 to 2020. She received the AIS Doctoral Student Service Award in 2019 and the Best Reviewer Award for ICIS in 2020.

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