When Does External Knowledge Benefit Team Creativity? The Role of Internal Team Network Structure and Task Complexity

Author:

Venkataramani Vijaya1ORCID,Tang Chaoying2

Affiliation:

1. Department of Management and Organization, Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20740;

2. School of Economics and Management, and MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences (UCAS), Beijing 100049, China

Abstract

Creativity in teams is spurred by members’ access to diverse knowledge, often from interactions with external sources. However, not all teams that have the capabilities to acquire such external knowledge are equally creative. Integrating theories of absorptive capacity and creative synthesis in teams, we propose that teams’ external knowledge acquisition capabilities in securing a wide variety of knowledge resources need to be complemented by internal knowledge integration capabilities that facilitate balanced/equal participation of all team members in the creative problem-solving process. In turn, this combination enables effective information elaboration processes underlying the generation of truly creative team outcomes. We test these ideas in two field studies. First, in a sample of 81 research and development teams in three organizations in science and technology fields, we find that teams’ connections with a wide range of external parties—indicating their external knowledge acquisition capability—benefit their creativity, but only when the team’s internal team member problem-solving network structure—an indicator of the team’s knowledge integration capability—is less centralized (i.e., not controlled by one or few members). We further demonstrate that these effects are more salient when the team’s task is more complex. Replicating these findings in a second sample of 57 project teams in an energy manufacturing and services firm, we show that these effects are mediated by the team’s information elaboration processes. Theoretical and practical implications are discussed. Funding: This research was supported by grants received by C. Tang and her colleagues at UCAS, from the National Natural Science Foundation of China [Projects 71974178, 71932009], MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at UCAS, and the Fundamental Research Funds for the Central Universities [Project E2E40806X2]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2023.1661 .

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management

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