Enterprise collaboration technologies (ECTs) are increasingly recognized for supporting effective and efficient digital collaboration, such as decision-making activities, among employees. Given the social and collaborative nature of ECT use, social network theory offers important and helpful insights into how and why employees' social network relations facilitate their ECT use. However, existing research primarily examines the effects of a single social network relation or several social network relations separately, without applying a holistic approach to investigate the joint effect of multiple social network relations on ECT use. Drawing on a novel technique of fuzzy-set qualitative comparative analysis (fsQCA) and social network analysis, this study explores how multiple social network relations (i.e., advice, friendship, and communication) collectively influence ECT use. Using multi-source data from 178 employees in the human resources department of a global technology company, we identify several configurations of multiple social network relations associated with high ECT use and low ECT use. Our findings indicate that a single social network relation is insufficient to explain ECT use and should be considered alongside other social network relations. Overall, this study provides an integrative framework to unpack the complex and contingent effects of multiple social network relations on ECT use.

企业协作技术 (ECT) 因支持员工之间有效且高效的数字协作（例如决策活动）而受到越来越多的认可。鉴于 ECT 使用的社交和协作性质，社交网络理论为员工的社交网络关系如何以及为何促进他们的 ECT 使用提供了重要且有用的见解。然而，现有研究主要考察单个社交网络关系或单独的多个社交网络关系的影响，而没有采用整体方法来研究多个社交网络关系对ECT使用的联合影响。本研究利用模糊集定性比较分析（fsQCA）和社交网络分析的新技术，探讨了多种社交网络关系（即建议、友谊、和沟通）共同影响 ECT 的使用。使用来自一家全球科技公司人力资源部门 178 名员工的多源数据，我们确定了与高 ECT 使用率和低 ECT 使用率相关的多种社交网络关系的几种配置。我们的研究结果表明，单一社交网络关系不足以解释 ECT 的使用，应与其他社交网络关系一起考虑。总体而言，本研究提供了一个综合框架来揭示多种社交网络关系对 ECT 使用的复杂和偶然影响。我们的研究结果表明，单一社交网络关系不足以解释 ECT 的使用，应与其他社交网络关系一起考虑。总体而言，本研究提供了一个综合框架来揭示多种社交网络关系对 ECT 使用的复杂和偶然影响。我们的研究结果表明，单一社交网络关系不足以解释 ECT 的使用，应与其他社交网络关系一起考虑。总体而言，本研究提供了一个综合框架来揭示多种社交网络关系对 ECT 使用的复杂和偶然影响。