Learning Down to Train Up: Mentors Are More Effective When They Value Insights from Below

师徒制 心理学 构造(python库) 价值(数学) 等级制度 因果关系(物理学) 数学教育 社会心理学 计算机科学 医学教育 医学 机器学习 物理 量子力学 经济 市场经济 程序设计语言
作者
Ting Zhang,Dan J. Wang,Adam D. Galinsky
出处
期刊:Academy of Management Journal [Academy of Management]
卷期号:66 (2): 604-637 被引量:12
标识
DOI:10.5465/amj.2021.0430
摘要

Although mentorship is vital for individual success, potential mentors often view it as a costly burden. To understand what motivates mentors to overcome this barrier and more fully engage with their mentees, we introduce a new construct, learning direction, which captures the beliefs people have about which individuals within a hierarchy—upward, lateral, or downward—are valuable sources of knowledge. Although most mentors believe knowledge resides higher up in hierarchies, the current research demonstrates mentors are more engaged and effective when they value insights from below. Our first three studies found that downward learning predicted mentor engagement (Study 1) because downward learning-directed mentors viewed mentoring as a worthwhile opportunity for their own learning (Studies 2A-B). A field study examined downstream consequences on mentees' learning outcomes, finding that downward learning-directed mentors trained more hireable mentees (Study 3). A final experiment established causality while also demonstrating that learning direction is open to intervention: reflecting on a downward learning experience increased mentor engagement, which enhanced the mentorship experience for their mentees (Study 4). We extend theories on learning orientation to learning direction and demonstrate that beliefs about the hierarchical sources of learning are critical to successful mentoring.
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