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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.

There is significant debate about the appropriate governance structure in a disaster response. Complex disasters exhibit both networked and hierarchical characteristics. One challenge in the field of disaster management is how to structure a response that reconciles the need for centralized coordination among varied responders while retaining flexibility to mutually adjust operations to quickly changing conditions. A key question with both practical and theoretical relevance is, "are there patterns of relationships that are more robust, efficient and effective?" Missing from the current literature is empirical evidence and theory building concerning what actual network structures and characteristics might be associated with effective incident response to complex disasters. In this article, we collected network cognition data from 25 elite, Type 1 Incident Commanders to construct an ideal-type theoretical social network of an effective incident response network. We then analyzed this model to identify a set of propositions concerning the network structure and governance of effective incident response relative to four key network capabilities: (a) rapid adaptation in response to changing conditions, (b) management of distributed information, (c) bilateral coordination, and (d) emergent collective action. Our data suggest that the structure is neither highly integrated nor rigidly centralized. Rather, it is best characterized as a moderate core–periphery structure. Greater theoretical clarity concerning the capabilities associated with this structure is critical for advancing both research and practice in network governance of complex disasters.

AbstractAs a new technology, blockchain can be used to analyse and process the data through the effective integration of financial resources. New financial formats or service models are produced to upgrade the financial system and promote the efficiency and quality of financial operations and service from three layers (data, rules, and application) based on customers' needs. The blockchain technology can help the financial industry to automatically and accurately identify customer credit conditions, restructure the financial market credit system, and improve the efficiency of cross‐border payment. Meanwhile, it also posed a challenge for the financial industries' development. In this paper, we systematically analysed the blockchain technology and its application in the financial and economic field and the status quo and the challenges. Finally, we provided constructive suggestions to facilitate the blockchain technology development in the financial and economic field.