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Does turnover travel through social networks and, if so, how? Extant literature suggests that turnover can spread from one departing employee to another through a social influence process. While this assumes the existence of social relations, we lack understanding of whether and how different types of relations affect the contagion process. We build on the turnover literature, which conceives social relations as resources individuals lose when their contacts leave, to distinguish between different types of social relations (instrumental, expressive, energy) and resource providers (peers, supervisors) and examine how their loss relates to turnover contagion. We draw on a unique network dataset of 1,432 employees in the Chinese subsidiary of a Dutch multinational including employees’ date of voluntary departure (271 turnover events). We estimate models inspired from the Relational Event Framework to trace the spread of departures through social ties over time and account for the effect of each departure on the networks of remaining employees. Our results are consistent with considering turnover contagion as resource loss. However, they also suggest that contagion is triggered when losing access to specific resources from particular providers. We elaborate on our results to propose a theory of network turnover contagion.

With permission of the Academy of Management

Markush structures are molecular skeletons containing not only specific atoms but al-so placeholders to represent broad sets of chemical (sub)structures. They allow a vast number of compounds (e.g., 10^16 different compounds within patent EP 0810 209) to be claimed in a patent application without having to specify every single chemical entity. While Markush structures raise important questions regarding the functioning of the patent system, innovation researchers have been surprisingly silent on the topic. This paper summarizes the ongoing policy debate about Markush structures and provides first empirical insights into how Markush structures are used in patent documents in the pharmaceutical industry and how they affect important outcomes in the patent prosecution process. While not causing frictions in the patent prosecution process, patent documents containing Markush structures have an increased likelihood to restrict the patentability of follow-on inventions and to hamper the entry of generic competition in the product market

With permission of the Academy of Management

Social network research has made considerable progress in understanding how certain network structures emerge and the extent to which they affect outcomes such as innovation or organizational performance. In recent years, however, scholars have agreed that we also need to have a better understanding of the relational content that flows through network ties. In this symposium, we attempt to push network research forward by incorporating network content into our current understanding, especially how the content of network ties is narrated by social actors. This symposium aims to encourage fruitful discussion among organizational scholars on the extent to which studying the narrative of network tie content extends our knowledge of the impact of network structures.

With permission of the Academy of Management

Extant literature on social capital has demonstrated the positive effects of brokerage on employee productivity, particularly in knowledge-intensive and creative environments. Yet, little is known about the interactions between employee brokerage and employee mobility to competitors, another common theme in the strategic human capital literature. We posit that employees in brokerage positions face unique information and exposure and have different external opportunities than their peers in more constrained network positions. However, as brokerage is an inherently local network position, we further argue that the effect of mobility on employee productivity is substantially different for those in brokerage positions versus those in constrained networks. Moreover, the nature of these consequences is contingent on the breadth of expertise of employees. Using a large, longitudinal sample of inventors working for the world’s major pharmaceutical firms, we find partial support for the interactive effects of brokerage, mobility, and productivity. The findings of this study contribute to the social capital literature on employee brokerage and to strategic human capital research on inventor mobility.

With permission of the Academy of Management

This dissertation proposes methods that bridge network science, machine-learning, and agent-based simulations to infer information about context-dependent relationships. The methods are applied to analyze and understand the roles and actions associated with organizational leadership. Findings indicate, among other things, that effective leadership, both as found in practice and in theory, may be more authoritative and hierarchical than is commonly asserted.

Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We link dispersed knowledge on Open Innovation, Open Science, and related concepts such as Responsible Research and Innovation by proposing a unifying Open Innovation in Science (OIS) Research Framework. This framework captures the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation. Moreover, it elucidates individual-, team-, organisation-, field-, and society‐level factors shaping OIS practices. To conceptualise the framework, we employed a collaborative approach involving 47 scholars from multiple disciplines, highlighting both tensions and commonalities between existing approaches. The OIS Research Framework thus serves as a basis for future research, informs policy discussions, and provides guidance to scientists and practitioners.

The pandemic has not wholly derailed DEI as much as feared. The insights from the DEI officers of globally active companies demonstrate optimism and inspiration for those designing DEI strategies in 2022.

This introduction discusses Open Innovation in Science (OIS) as an emerging stream of research and summarizes the articles published in the Special Issue on this topic.

All day, every day, most of us are bombarded by requests at work. Sometimes these can pile up leaving us feeling overwhelmed. Learning the right way to turn some down can help us stay in our jobs, as happier and more productive employees.