Is team resilience more than the sum of its parts?:A quantitative study on emergency healthcare teams during the COVID-19 pandemic

Due to the COVID-19 pandemic, emergency healthcare workers have come under even more pressure than before, threatening the workers’ mental health and the continuity of care delivered by their teams. This study aims to investigate what conditions increase individual and team resilience, referring to the ability to “bounce back” from stressful situations. We also assess whether team resilience is the sum of the individual resilience of team members, or whether other conditions enhance team resilience and thus continuity of care, despite limited individual resilience. We collected survey data from 129 emergency healthcare team members in the Netherlands to examine to what extent transformational leadership and team familiarity influence the level of team resilience, either directly or mediated by individual resilience, accounting for psychological characteristics and social support. The results show two distinct pathways to enhance team resilience, directly by familiarizing team members with each other and by mobilizing family support, and indirectly but with a much weaker effect, by encouraging team members’ individual resilience through transformational leadership and staffing optimistic team members with high levels of self-efficacy

A configurational explanation for performance management systems' design in project-based organizations

This paper investigates what configurations of organization-level contingencies explain different performance management system (PMS) designs in project-based organizations (PBOs). By studying organization-level contingency factors – perceived environmental uncertainty, organizational size, innovation strategy, and opportunity strategy – this paper extends prior literature on PMSs in PBOs, which predominantly focused on project and portfolio level contingencies. In addition, while prior literature studied the contingency factors separately, this paper argues that it is the configuration of contingencies that matter for PMS design choices. Data on 15 PBOs in the management consulting industry reveal that PBOs combine various controls into performance management systems that are either predominantly mechanistic or organic in nature. Qualitative Comparative Analysis (QCA) points to four configurations of organization-level characteristics, two of which are associated with the PBO's choice for mechanistic performance management system, and two that are related to organic performance management system

Dataset on performance management systems' design in project-based organizations

This data article presents the supplementary material for the paper “A configurational explanation for performance management systems' design in project-based organizations” [1]. The article introduces a dataset on 15 project-based organizations (PBOs) in the management consulting industry in the Netherlands. The dataset includes organization-level conditions at PBOs, such as perceived environmental uncertainty, organizational size, innovation strategy, opportunity strategy, and performance management system design. The dataset is prepared for a fuzzy-set Qualitative Comparative Analysis (fsQCA). Combinations of conditions are expected to be related to a mechanistic or an organic performance management system design. This article includes the original dataset with quantitative scores and a qualitative motivation for each score, calibrated data, and fsQCA truth table

Striving for state of the art with paradigm interplay and meta-synthesis: Purpose-oriented network research challenges and good research practices as a way forward

With the growing amount and increasing heterogeneity of research on purpose-oriented networks (PONs) in the public sector, it is imperative to find a way to synthesize this research. Drawing on the varied research perspectives on PONs, we advance the idea of paradigm interplay and meta-synthesis as aspirations for the field and argue this is especially key if we want the study of PONs to inform practice. However, we recognize several challenges in the current state of the PON research that prevent the field from making strides in paradigm interplay and meta-synthesis. We discuss six challenges which we consider the most critical: different labels, differences across research foci, variation in measurement, the nestedness of networks, the dynamism of networks, and variation in the network context. We suggest six good research practices that could contribute to overcoming the challenges now so as to make integration of the research field more of a possibility in the future

A temporal perspective on repeated ties across university-industry R&D consortia

Divergent time norms between participating organizations constitute a central barrier to cross-sectoral collaborations. We unpack this tension by studying two distinct time-utilization strategies of university and industry in 1845 R&D consortia. The paper shows that collaborating organizations that are subject to divergent time norms can shift the time focus in their favor through the strategic timing of repeated ties. If university-industry consortia are repeated, this repetition tends to take place either at the beginning of the consortium (parallel timing) or at the end (sequential timing) but typically not in the middle. Industry partners seek to “compress time” by working on different consortia in parallel and therefore want to repeat a collaboration early, whereas universities seek to “extend time” through sequential timing of consortia, i.e., repeat a collaboration at the end or after a consortium has ended. We provide a qualitative substantiation of the identified time-utilization strategies and show that both options coexist in multipartner consortia

Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector

In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both cluster and broker dynamics can range from low (stable) to high (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector. Our analysis reveals two equifinal combinations (stable brokers – volatile clusters and volatile brokers – stable clusters) that both generate significantly higher innovation outcomes compared to networks with low, moderate, or high dynamics across the entire network

Is team resilience more than the sum of its parts?: A quantitative study on emergency healthcare teams during the COVID-19 pandemic

Due to the COVID-19 pandemic, emergency healthcare workers have come under even more pressure than before, threatening the workers’ mental health and the continuity of care delivered by their teams. This study aims to investigate what conditions increase individual and team resilience, referring to the ability to “bounce back” from stressful situations. We also assess whether team resilience is the sum of the individual resilience of team members, or whether other conditions enhance team resilience and thus continuity of care, despite limited individual resilience. We collected survey data from 129 emergency healthcare team members in the Netherlands to examine to what extent transformational leadership and team familiarity influence the level of team resilience, either directly or mediated by individual resilience, accounting for psychological characteristics and social support. The results show two distinct pathways to enhance team resilience, directly by familiarizing team members with each other and by mobilizing family support, and indirectly but with a much weaker effect, by encouraging team members’ individual resilience through transformational leadership and staffing optimistic team members with high levels of self-efficacy

Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector

In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both cluster and broker dynamics can range from low (stable) to high (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector. Our analysis reveals two equifinal combinations (stable brokers – volatile clusters and volatile brokers – stable clusters) that both generate significantly higher innovation outcomes compared to networks with low, moderate, or high dynamics across the entire network

Network dynamics and its impact on innovation outcomes: R&D consortia in the Dutch water sector

In this study, we explore the relationship between inter-organizational network dynamics and innovation outcomes. We focus on node turnover and argue that both cluster and broker dynamics can range from low (stable) to high (volatile), resulting in differentiated outcomes. The data comprises 318 consortium members participating in 104 R&D consortia forged in a 23-year period in the Dutch water sector. Our analysis reveals two equifinal combinations (stable brokers – volatile clusters and volatile brokers – stable clusters) that both generate significantly higher innovation outcomes compared to networks with low, moderate, or high dynamics across the entire network.Values Technology and InnovationEconomics of Technology and Innovatio