CAREER: Generating Generativity: Modeling and Fostering Creative Collaborations in Enterprise Social Media Using a Cyberinfrastructure for Smart Innovation (CSI)

该项目旨在开发基于企业社会媒体（ESM）的有效协作的多层次驱动程序、流程和社会技术实践的预测模型，利用存储在其中的无与伦比的档案数据量。最近ESM的扩散承诺为生成协作创造更好的机会，然而组织努力建立完全活跃的系统并获得承诺的好处。遵循说服系统设计的范式，本项目旨在建立和评估一个反馈系统，即智能创新的网络基础设施（CSI）。CSI从ESM内部的群体中提取近乎实时的数据，可视化他们的社会动态和活动，并建议有利于他们的生成的行动。研究将分三个阶段进行：第一阶段：通过对来自合作组织Steelcase Inc.的6年ESM档案数据的算法管理和统计分析，对不同形式的生成协作及其有效性建立基本理解和预测模型；第二阶段：使用形成性和总结性的以用户为中心的研究方法，为CSI制定一套设计指南；阶段3：通过Steelcase真实世界创新团队的准实验和客户组织样本的自我报告评估，评估CSI对生成合作的因果影响。企业社交媒体代表了一个重要的研究背景，因为有无数关于ESM对生成性的优点的轶事主张，但明显缺乏科学研究来验证这些主张，并解释这些优点何时以及如何发生。本研究项目旨在做出五个主要的智力贡献：(1)提高对ESM中生成合作的多层次前因的理解；(2)通过提供对生成协作过程的不显眼、混合方法和社会技术见解，扩展现有的组织科学文献；(3)将现有的ESM研究扩展到这些制度的实际影响；(4)提出有说服力的反馈系统（CSI），旨在促进改进的基于esm的生成协作；(5)在现实世界群体中对CSI对生成性的因果效应进行了严格的实证检验。一个综合的教育和研究计划将包括一个新的研究研讨会，学生们将努力适应CSI，以提高基于问题的学习环境中小组工作的有效性，从而为CSI创造第二个非工业测试平台，并使发现从生成协作抽象到学习环境的基本理论原则成为可能。

This project aims to develop predictive models of the multi-level drivers, processes and sociotechnical practices of effective collaborations based in Enterprise Social Media (ESM), leveraging the unparalleled amounts of archival data stored in them. The recent proliferation of ESM promises to create better opportunities for generative collaborations, yet organizations struggle to establish fully active systems and reap the promised benefits. Following the paradigm of persuasive system design, this project aims to build and evaluate a feedback system, the Cyberinfrastructure for Smart Innovation (CSI). The CSI extracts near real-time data from groups inside the ESM, visualizes their social dynamics and activities, and suggests actions beneficial to their generativity. Research will be carried out in three phases: Phase 1: Create a fundamental understanding and predictive models of distinct forms of generative collaborations and their effectiveness through the algorithmic curation and statistical analysis of six years of ESM archival data from the partner organization, Steelcase Inc.; Phase 2: Develop a suite of design guidelines for the CSI using formative and summative user-centered research methods; Phase 3: Evaluate the causal impact of the CSI on generative collaborations, through quasi-experiments within real-world innovation teams at Steelcase and self-reported evaluations with a sample of its client organizations. Enterprise Social Media represent an essential research context given the innumerable anecdotal claims about the merits of ESM for generativity, but there is a pronounced lack of scientific research validating such claims and explaining when and how these merits occur. This research project aims to make five major intellectual contributions: (1) Improved understanding of the multilevel antecedents of generative collaborations in ESM; (2) Expansion of existing organization science literatures by providing unobtrusive, mixed-method, and sociotechnical insights into processes of generative collaborations; (3) Extension of extant ESM research on the actual impact of these systems; (4) Production of the proposed persuasive feedback system (CSI) intended to foster improved ESM-based generative collaborations; (5) Rigorous empirical testing of the causal effect of the CSI on generativity in real-world groups. An integrated education and research program will include a new research seminar where students will work to adapt the CSI for improving the effectiveness of group work in problem-based learning settings, thereby creating a second, non-industry testbed for the CSI and enabling the discovery of fundamental theoretical principles that abstract from generative collaboration to learning contexts.