Public management scholars have suggested that employee motivation can be accentuated by organizational cultures and contexts. One of the most researched topics in this regard is the concept of public service motivation (PSM). Research shows that PSM works to direct applicants toward public service careers and, once hired, can be linked to motivated activity within public-sector organizations. Similarly, like PSM, a sense of community (SOC) and a sense of community responsibility (SOC-R) have also been posited to act as powerful predictors of employee well-being and engagement. The present study demonstrates that SOC-R is a more powerful predictor of employee engagement compared with PSM and SOC. Concurrently, SOC more strongly predicts employee well-being compared with PSM and SOC-R. The findings bring additional light and clarification to the predictive power of PSM on employee perceptions and behavior, and they demonstrate that community experiences have utility in public service settings.

Smoke Sense is a citizen science project with investigative, educational, and action-oriented objectives at the intersection of wildland fire smoke and public health. Participants engage with a smartphone application to explore current and forecast visualizations of air quality, learn about how to protect health from wildfire smoke, and record their smoke experiences, health symptoms, and behaviors taken to reduce their exposures to smoke. Through participation in the project, individuals engage in observing changes in their environment and recording changes in their health, thus facilitating progression on awareness of health effects of air pollution and adoption of desired health-promoting behaviors. Participants can also view what others are reporting. Data from the pilot season (1 August 2017 to 7 January 2018; 5,598 downloads) suggest that there is a clear demand for personally relevant data during wildfire episodes motivated by recognition of environmental hazard and the personal concern for health. However, while participants shared clear perceptions of the environmental hazard and health risks in general, they did not consistently recognize their own personal health risk. The engagement in health protective behavior was driven in response to symptoms rather than as preventive courses of action. We also observed clear differences in the adoption likelihood of various health protective behaviors attributed to barriers and perceived benefits of these actions. As users experience a greater number and severity of symptoms, the perceived benefits of taking health protective actions exceeded the costs associated with the barriers and thus increased adoption of those actions. Based on pilot season data, we summarize key insights which may improve current health risk communications in nudging individuals toward health protective behavior; there is a need to increase personal awareness of risk and compelling evidence that health protective behaviors are beneficial.Plain Language Summary An observed increase in wildfire smoke exposure highlights the need for best practices in promoting protective health behaviors during wildfire smoke events. Understanding perceptions, motivations, and barriers to behavioral change (physical, social, or financial) among impacted individuals can provide insights into how to improve health risk communication and achieve better public health outcomes during smoke events. However, almost nothing is known about how current recommendations are perceived, adopted, and adhered to by individuals impacted by smoke. Smoke Sense is a citizen science project which aims to engage participants by encouraging them to observe their environment and record changes in their health, thus facilitating progression on awareness of health effects of air pollution and adoption of desired health-promoting behaviors. We examined the feasibility of engaging smartphone users in a citizen science study and investigated the range of behavioral responses taken when experiencing smoke and health symptoms. Based on p...

In light of the burgeoning literature in whole, goal-directed networks for managing wicked problems in public management, it is timely to examine the theoretical evolution that has both shaped and constrained our understanding of these networks. In this article, we argue that contemporary study of whole networks has been dominated by an internal theoretical lens aimed at understanding how internal characteristics influence network functioning and effectiveness. This perspective assumes networks operate in differentiated environments rather than emphasizing interdependence as part of a broader ecology—networks of networks. In this article, we draw from population ecology to introduce the concept of network domains and offer evidence drawn from a population of 60 health-oriented networks in three counties to illustrate domain level characteristics. Using an inductive mode of theorizing, we leverage insights from these domains to consider population dynamics and pose propositions for advancing a program of study into domain level characteristics that may shape and constrain whole networks and their members.

Central to public health risk communication is understanding the perspectives and shared values among individuals who need the information. Using the responses from a Smoke Sense citizen science project, we examined perspectives on the issue of wildfire smoke as a health risk in relation to an individual's preparedness to adopt recommended health behaviors. The Smoke Sense smartphone application provides wildfire-related health risk resources and invites participants to record their perspectives on the issue of wildfire smoke. Within the app, participants can explore current and forecasted daily air quality, maps of fire locations, satellite images of smoke plumes, and learn about health consequences of wildfire smoke. We used cluster analysis to identify perspective trait-clusters based on health status, experience with fire smoke, risk perception, self-efficacy, access to exposure-reducing resources, health information needs, and openness to health risk messaging. Differences between traits were examined based on demographics, health status, activity level and engagement with the app. We mapped these traits to the Precaution Adoption Process Model (PAPM) to indicate where each trait lies in adopting recommended health behaviors. Finally, we suggest messaging strategies that may be suitable for each trait. We determined five distinct perspective traits which included individuals who were Protectors and have decided to engage on the issue by adopting new behaviors to protect their health; Cautious, Proactive, and Susceptible individuals who were at a Deciding stage but differed based on risk perceptions and information needs; and the Unengaged who did not perceive smoke as a health issue and were unlikely to change behavior in response to messaging. Across all five traits, the level of engagement and information needs differed substantially, but were not defined by demographics. Individuals in the Susceptible trait had the highest level of engagement and the highest information needs. Messaging that emphasizes self-efficacy and benefits of reducing exposure may be effective in motivating individuals from the deciding stage to taking health protective action. Shared perspectives define an individual's propensity for acting on recommended health behaviors, therefore, health risk message content should be tailored based on these perspectives.

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The application of network perspectives and methods to study complex problem and policy domains has proliferated in the public management literature. Network metrics are highly sensitive to boundary decisions as findings are a direct reflection of who and what was considered to be part of the network. The more complex the problem domain, the messier the network and the more challenging it is for researchers to determine network boundaries. Laumann, Marsden, and Prensky's seminal (1989) article on network bounding highlighted the theoretical and methodological significance associated with determinations of network boundaries in social network research. However, despite an expansion of network scholarship, the advancement of frameworks aimed at assisting scholars in thinking through the relative advantages and disadvantages of different boundary determinations has received limited attention. This article addresses this gap. Drawing insights from three network studies, we argue that problem domain characteristics and concerns such as formal structures, isolates, disconnected subgroups and/or the duration of the ties will be differentially emphasized with different boundary approaches. We leverage these insights to advance a framework for aiding network scholars working in complex problem domains to consider the strengths and limitations of varied bounding approaches in relation to the question at hand.

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