Guan Jian, Chen Xiao-Ping, Yu Sitong, Qin Xin
Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai, China.
Michael G. Foster School of Business, University of Washington, Seattle, Washington, United States of America.
PLoS One. 2025 Apr 16;20(4):e0321173. doi: 10.1371/journal.pone.0321173. eCollection 2025.
In this study, we aim to explain the large disparities among countries and regions on industrial robot application in terms of robot density and robot growth. Based on the premise that people in all cultures have the same potential for innovation, we propose a cross-level lens of cultural tightness-looseness to predict that, in the nascent robotics industry where rules and regulations are underdeveloped (i.e., a loose domain), people in tight cultures (e.g., Singapore, Japan, China) are more likely to innovate than those in loose cultures (e.g., the UK, U.S., the Netherlands) because their creativity is permitted in this or a few other loose domains only. We test this theoretical lens using multi-source longitudinal archival data on robot applications. Several significant findings emerge. First, there is a significant positive relationship between cultural tightness and robot application across 32 countries and territories from 1993 to 2022 (Study 1). Second, such a positive relationship also appears across 50 states in the United States from 1998 to 2022 (Study 2a), and across 31 provinces in China from 2008 to 2022 (Study 2b). Finally, the interaction effect between country- and region-level cultural tightness on robot application is significant (Study 3). These findings provide strong empirical support for our cross-level lens of cultural tightness and shed light on how cultural tightness at different levels interacts to affect incremental innovation (i.e., robot application) in a loose domain (i.e., the robotics industry). Moreover, these findings suggest that loosening tight control on certain domains of a tight culture would remarkably boost creativity and incremental innovation in these domains.
在本研究中,我们旨在从机器人密度和机器人增长的角度解释各国和各地区在工业机器人应用方面存在的巨大差异。基于所有文化背景的人都具有相同创新潜力这一前提,我们提出了一种文化松紧程度的跨层次视角,以预测在规则和法规尚不完善的新兴机器人行业(即一个宽松的领域)中,文化紧密型国家(如新加坡、日本、中国)的人们比文化宽松型国家(如英国、美国、荷兰)的人们更有可能进行创新,因为他们的创造力仅在这一个或其他几个宽松领域中才被允许发挥。我们使用关于机器人应用的多源纵向档案数据来检验这一理论视角。出现了几个重要发现。第一,1993年至2022年期间,在32个国家和地区,文化紧密程度与机器人应用之间存在显著的正相关关系(研究1)。第二,1998年至2022年期间,在美国的50个州以及2008年至2022年期间在中国的31个省份,这种正相关关系同样存在(研究2a和研究2b)。最后,国家和地区层面的文化紧密程度对机器人应用的交互作用是显著的(研究3)。这些发现为我们的文化紧密程度跨层次视角提供了有力的实证支持,并揭示了不同层面的文化紧密程度如何相互作用,从而在一个宽松领域(即机器人行业)中影响渐进式创新(即机器人应用)。此外,这些发现表明,放松对紧密型文化某些领域的严格控制将显著提高这些领域的创造力和渐进式创新。