As business systems become more complex with retailers and manufacturers both competing in a dynamic environment, the reduction of operational variation has become crucial for both demand and inventory management. This is why many firms have undertaken lean or six-sigma programs as a means for understanding and addressing this variance. Much of this variation can be mitigated through the integration and coordination between entities in the supply chain through both human and technical systems. Coordination theory posits that there are common mechanisms for activity integration while network governance theory indicates that individuals can be relationally embedded through multiple types of connections. Most notably, individuals can utilize aspects of information sharing, trust, and problem solving to serve as human-oriented coordination mechanisms in order to enhance personal performance. This article models how the occurrence of multiple different layers of connectivity in human operational systems impacts variability in business process outcomes. Results from the social network analysis, utilizing both multi-modal blockmodeling and a multiple regression quadratic assignment procedure, indicate that information sharing, trust, and problem-solving network connectivity reduce sales performance variation, while joint-problem solving connections between individuals reduce the variance in inventory performance variation.

随着业务系统变得越来越复杂，零售商和制造商都在动态的环境中竞争，减少运营差异对于需求和库存管理都至关重要。这就是为什么许多公司采用精益或六西格玛计划作为理解和解决这种差异的一种方式的原因。可以通过人力和技术系统通过供应链中实体之间的集成和协调来缓解这种变化。协调理论认为，存在用于活动整合的通用机制，而网络治理理论则表明，可以通过多种类型的连接将个人关系嵌入。最值得注意的是，个人可以利用信息共享，信任，解决问题可以作为以人为本的协调机制，以提高个人绩效。本文对人工操作系统中连接层的多个不同层的出现如何影响业务流程结果的可变性进行建模。社交网络分析的结果同时利用多模式模块建模和多元回归二次分配过程，表明信息共享，信任和解决问题的网络连接减少了销售业绩的差异，而解决个体之间的联合问题的联系则减少了差异库存绩效差异。