The Benefits of Stepping Into Others' Shoes: Perspective Taking Strengthens Transactive Memory

A question of time: How demographic faultlines and deep-level diversity impact the development of psychological safety in teams

Psychological safety (PS) is a shared belief among team members that it is safe to take interpersonal risks. It can enhance team learning, experimentation with new ideas, and team performance. Considerable research has examined the positive effects of PS in diverse organizational contexts and is now shifting its focus toward exploring the nature of PS itself. This study aims to enhance our understanding of PS antecedents and development over time. Based on the model of team faultlines and research on team diversity, we examined the effects of demographic faultlines, team member personality, and member competencies on the development of PS. Over 5 months, 61 self-managed teams (N = 236) assessed their PS at the beginning, midpoint, and end of a research project. Results of a multilevel growth curve model show that PS decreased from project beginning to end. Initial levels of PS were especially low when teams had strong demographic faultlines and when team members differed in neuroticism. PS decreased more strongly over time when team members were diverse in agreeableness and assessed their task-related competencies to be relatively high. Our study identifies time and team composition attributes as meaningful predictors for the development of PS. We present ideas for future research and offer suggestions for how and when to intervene to help teams strengthen PS throughout their collaboration.

Empirical perspectives of transactive memory systems: a meta-analysis

Purpose

The purpose of this study is to synthesize the previous empirical studies on transactive memory systems (TMS) through a meta-analytical approach and test the proposed model for the relationships between TMS and different types of team outcomes.

Design/methodology/approach

TMS refers to shared memory systems developed among a group of people for encoding, storage and retrieval of their different knowledge domains. They have been widely used in group or organization settings to describe the cumulative knowledge in a group of multi-disciplinary experts. Previous literature suggests TMS as a critical concept for explaining group performance, but few studies were conducted to integrate the literature findings to identify the relationships between TMS and team outcomes.

Findings

The findings suggest that TMS is more strongly linked to affective outcomes than behavioral or performance outcomes. In addition, the authors find that the specific operationalization of TMS does not affect the relationship between TMS and team outcomes. There was not enough support for significant effects of group size and research setting on the relationships between TMS and team outcomes, which indicates that both laboratory and field studies have similar potential to generate valuable results for the research of TMS.

Originality/value

This study contributes to the body of knowledge on team effectiveness by investigating the links between TMS and team effectiveness through a broad definition of outcomes that include tangible constructs, such as performance, as well as behavioral and affective outcomes. By exploring the relationships through this broad conceptualization of team effectiveness, the authors can better understand the particular effects of TMS on different key aspects used to determine success in teams.

The ecology of multilevel intervention research

Behavior change research to promote health and prevent disease increasingly relies on a complex set of interacting characteristics across levels of influence such as biological, psychological, behavioral, interpersonal, and environmental. How to best develop health-related interventions that incorporate the individual, the macro-environment, and their interactions remains a challenge. This article considers a set of key dimensions that constitute what we refer to as the ecology of research across a broad context of multilevel research (MLR), spanning fundamental multilevel research (FMLR), multilevel intervention research (MLIR), and multilevel implementation science (MIS). With the goal of promoting improvements in MLIR, we describe the inherent interdependencies among aspects of research and consider how the growth and development of evidence and resources influence the cross-talk among researchers from different perspectives (e.g., disciplines and domains). We propose a framework that highlights opportunities to reduce barriers and address gaps in areas critical to generating an evidence base through MLR, MLIR, and MIS. Overall, we aim to support strategic decisions that can accelerate our understanding of ML health outcomes and interactions among factors within and across levels, with the goal of strengthening the effectiveness of ML interventions across health-related outcomes.