Abstract
Leader–member exchange (LMX) research has increasingly relied upon the social exchange theory (SET) as a theoretical foundation, but the dominating way of measuring LMX has not followed this theoretical development (Gottfredson et al., 2020). With the aim of developing a measure that more coherently reflects SET, Kuvaas et al. (2012) conceptualized LMX as two qualitatively different relationships, labeled economic LMX and social LMX. Since the most applied LMX measures are under scrutiny for not being sufficiently grounded in theory (Gottfredson et al., 2020), it may be especially important to expose alternative measures. Therefore, we provide a comprehensive review of the research to date applying a two-dimensional approach to LMX, while also adding to interpretation and suggestions for how we can progress the field even further.
Highlights
The leader–member exchange (LMX) literature is hardly at its infancy, but the field is still under progressive development (Martin et al, 2019)
The results revealed that as long as social Leader–member exchange (LMX) dominated over economic LMX, there was a positive association with employee resilience
We find moderate to strong positive associations between social LMX and affective commitment; satisfaction with work family balance, employee knowledge donating, and employee resilience; and moderate negative associations with turnover intention
Summary
The leader–member exchange (LMX) literature is hardly at its infancy, but the field is still under progressive development (Martin et al, 2019). There may be less investment and trust, and more formal, quid pro quo transactions Both of these types of exchange relationships are theoretical underpinnings of the social exchange theory (SET) (Blau, 1964), in which the LMX theory has increasingly relied on as a theoretical framework (e.g., Dulebohn et al, 2012; Matta and Van Dyne, 2015; Gottfredson et al, 2020). Whereas role theory, which was the original theoretical underpinnings to LMX (e.g., Graen, 1976), failed to receive meta-analytical
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