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This chapter looks into China's experiences with embracing new steering instruments to promote social stability, with particular reference to the protection of households involved in city regeneration projects. During the closing years of the twentieth century, China experienced a fundamental transition, from a planned mode of urban regeneration to a new pattern that emphasised the involvement of the market. Under the planned regime, households affected by regeneration projects were provided with new apartments and temporary housing, all financed by the local government. Economic incentives were rarely employed to encourage households to resettle, as resettlement was seen as a civil obligation. The new approach, featuring marketisation, however, requires the affected households to pay for their new houses using monetary compensation and subsidies from the local governments. The local governments are strongly motivated to save such costs and thus provide limited compensation, and consequently complaints from the affected households have continued to grow (Peerenboom & He, 2009).

Multifaceted issues such as safety, social inclusion, poverty, mobility, rural development, city regeneration or labour market integration require integrated approaches in their steering. Governments are looking for instruments that can address the boundary-spanning nature of many social problems. In their quest to achieve valued social outcomes, they struggle with their new role, and the inadequacy of both market working and government-led central agency. After three decades of New Public Management (NPM)-style reforms, the strengths and weaknesses of this philosophy have become widely apparent. Fragmentation is a prominent observation in many evaluations of the NPM approach. The fragmentation of both policy and implementation lead to unsatisfactory public outcomes and a heightened experience of a loss of control on the part of policymakers. Achieving valued and sustainable outcomes requires collaboration between government departments, private actors, non-profit organisations, and citizens and requires tools that integrate the lessons of NPM with the new necessities of coordinated public governance. The public administration literature has in recent years been concerned with the ‘what's next?’ question, and many alternatives to NPM have been proposed.

This paper explores the relationship between inventory productivity and the likelihood of venture survival and then examines how financial constraints moderate the inventory productivity–survival linkage.

Accelerated failure time (AFT) model is employed to study the link between inventory productivity and venture survival by using small- and medium-sized enterprise (SME) data from Chinese Annual Survey of Industrial Firms (CASIF) database over the period 1999–2007.

The paper demonstrates a converse U-curve relation between inventory productivity and venture survival. Additionally, financial constraints as the moderator weaken the marginal effect of inventory productivity on venture survival.

Managers should pay more attention to the important inventory performance indicator: inventory productivity. In the context of prominent financing difficulties, managers should be rapid to adjust the competitive strategy and optimize the internal production process according to the inherent nature of risks in a friction environment, and thus generate resources that enterprises cannot raise in the financial market.

This study may be the first to practically investigate the role of inventory productivity on venture survival and the moderating effect of financing constraints on this relationship. It adds to abundant articles as regards the interface between operation management and venture survival by exploring how financial constraints moderate the inventory productivity–survival linkage.

The major problem that limits the widespread use of WAAM technology is the forming quality. However, most of the current research focuses on post-process detections that are time-consuming, expensive and destructive. This paper aims to achieve the on-line detection and classification of the common defects, including hump, deposition collapse, deviation, internal pore and surface slag inclusion.

This paper proposes an in-process multi-feature data fusion nondestructive testing method based on the temperature field of the WAAM process. A thermal imager is used to collect the temperature data of the deposition layer in real-time. Efficient processing methods are proposed in this paper, such as the temperature stack algorithm, width extraction algorithm and a classification model based on a residual neural network. Some features closely related to the forming quality were extracted, containing the profile image and width curve of the deposition layer and abnormal temperature features in longitudinal and cross-sections. These features are used to achieve the detection and classification of defects.

Thermal non-destructive testing is a potentially superior technology for in-process detection in the industrial field. Based on the temperature field, extracting the most relevant features of the defect information is crucial. This paper pushes current infrared (IR) monitoring methods toward real-time detection and proposes an in-process multi-feature data fusion non-destructive testing method based on the temperature field of the WAAM process.

In this paper, the single-layer and multi-layer WAAM samples are preset with various defects, such as hump, deposition collapse, deviation, pore and slag inclusion. A multi-feature nondestructive testing methodology is proposed to realize the in-process detection and classification of the defects. A temperature stack algorithm is proposed, which improves the detection accuracy of profile change and solves the problem of uneven temperature from arc striking to arc extinguishing. The combination of residual neural network greatly improves the accuracy and efficiency of detection.

Public health practitioners face citizenship pressure when requested to engage in more extra-roles behaviors during the pandemic. The purpose of the study is to reveal the potential influence mechanism of citizenship pressure on the health and work outcomes of practitioners.

The authors completed a three-wave survey from a public healthcare organization during the coronavirus disease 2019 (COVID-19) delta-variant epidemic.

Results of polynomial regression and response surface showed that increased (versus decreased) and consistently high (versus low) level of citizenship pressure induced citizenship fatigue, which in turn increases negative affect/turnover intention. These negative effects of citizenship pressure are weaker among practitioners with a higher level of future focus.

Providing counseling service to health care practitioners in adopting a future time perspective of citizenship behaviors is important for public health organizations.

This study is among the earliest attempts to reveal the potential dark side of excessive request of conducting organization citizenship behavior which is more commonly seen within public health organizations in the context of pandemic.