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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 aims to present a multi-fidelity surrogate-based optimization (MFSBO) method for computationally accurate and efficient design of microfluidic concentration gradient generators (µCGGs).

Cokriging-based multi-fidelity surrogate model (MFSM) is constructed to combine data with varying fidelities and computational costs to accelerate the optimization process and improve design accuracy. An adaptive sampling approach based on parallel infill of multiple low-fidelity (LF) samples without notably adding computation burden is developed. The proposed optimization framework is compared with a surrogate-based optimization (SBO) method that relies on data from a single source, and a conventional multi-fidelity adaptive sampling and optimization method in terms of the convergence rate and design accuracy.

The results demonstrate that proposed MFSBO method allows faster convergence and better designs than SBO for all case studies with 49% more reduction in the objective function value on average. It is also found that parallel infill (MFSBO-4) with four LF samples, enables more robust, efficient and accurate designs than conventional multi-fidelity infill (MFSBO-1) that only adopts one LF sample during each iteration for more complex optimization problems.

A MFSM based on cokriging method is constructed to utilize data with varying fidelities, accuracies and computational costs for µCGG design. A parallel infill strategy based on multiple infill criteria is developed to accelerate the convergence and improve the design accuracy of optimization. The proposed methodology is proved to be a feasible method for µCGG design and its computational efficiency is verified.

The study focuses on influential factors of collaboration on government data security by the Chinese government.

The article explores the case of e-government in the Chinese centralized unitary state system context, using a structured–pragmatic–situational (SPS) approach and the boundary theory as an analytical lens.

The findings indicate that e-government operates in highly interconnected environments where the safe flow of government data requires collaborative and cross-boundary strategies. Any organization is a potential “weakest link”. In addition, collaboration is fragmented by ambiguous accountability and organizational inertia across government departments, resources differences and limited visibility and measurability of security efforts across government levels and conflicts and uncertainties in principal–agent relationships. The solutions for those obstacles are also discussed from the multi-function, multi-level and multi-actor dimensions, respectively. A multi-dimensional overarching security model for the flow of government data is proposed.

The study advances the technology-oriented micro-analysis of previous studies on government data security to cross-organizational revealing at the macrolevel by connecting streams of research in information systems and public administration. These findings will contribute to making the safe flow of government data more resilient in the transformation of e-government.

This paper aims to develop an optimal buyback promotion strategy for enterprises, including multibuyback strategy and self-buyback strategy, taking both the consumer's multichannel psychological acquisition attributes and remaining market into account.

Based on the game theory and Hotelling model, the authors formulate a new model to study the equilibrium of different buyback models, given the utility maximization of the consumers, the profit maximization and the constraint on nondecreasing market share of the enterprises, and the authors conduct comparative analysis.

Intuitively, enterprises buying back products of other brands would appeal to some consumers. However, the authors find that after implementing the multibuyback scheme, enterprises may not be able to seize competitors' markets or even lose their original customer base in the context considered in this article counterintuitive. In addition, the size of remaining market share and the consumer's multichannel psychological acquisition affect the choice of buyback promotion strategies. Moreover, after implementing multibuyback scheme, customers with old products subsidize those who receive additional discounts. Finally, the authors point out that the buyback strategy choices of companies with different goal-oriented are diverse.

This study has a very solid realistic background and provides guidance for enterprises to implement buyback promotion strategies. In addition, the authors unearth new influencing factors to provide a reasonable explanation for different buyback strategies in reality.

To the best of the authors’ knowledge, this study is one of the first to explore the multibuyback promotion strategy as a new buyback method, where the two influencing factors the authors have not been proposed so far.

In the context of the Industry 4.0, this paper aims to investigate the state of the art of Italian manufacturing, focusing the attention on the implementation of intelligent predictive maintenance (IPdM) and 4.0 key enabling technologies (KETs), analyzing advantages and limitations encountered by companies.

A survey has been developed by the University of Parma in cooperation with the Italian Workers' Compensation Authority (INAIL) and was submitted to a sample of Italian companies. Overall, 70 answers were collected and analyzed.

Results show that the 54% of companies implemented smart technologies, increasing quality and safety, reducing the operating costs and sometimes improving the process' sustainability. However, IPdM was implemented only by the 37% of respondents: thanks to big data collection and analytics, Internet of Things, machine learning and collaborative robots, they reduced downtime and maintenance costs. These changes were implemented mainly by large companies, located in northern Italy. To spread the use of IPdM in Italian manufacturing, the high initial investment, lack of skilled labor and difficulties in the integration of new digital technologies with the existing infrastructure are the main obstacles to overcome.

The article gives an overview on the current state of the art of 4.0 technologies implementation in Italy: it is useful not only for companies that want to discover the implementations' advantages but also for institutions or research centres that could help them to solve the encountered obstacles.

By introducing the mass customization service mode into the cloud logistics environment, this paper studies the joint optimization of service provider selection and customer order decoupling point (CODP) positioning based on the mass customization service mode to provide customers with more diversified and personalized service content with lower total logistics service cost.

This paper addresses the general process of service composition optimization based on the mass customization mode in a cloud logistics service environment and constructs a joint decision model for service provider selection and CODP positioning. In the model, the two objective functions of minimum service cost and most satisfactory delivery time are considered, and the Pareto optimal solution of the model is obtained via the NSGA-II algorithm. Then, a numerical case is used to verify the superiority of the service composition scheme based on the mass customization mode over the general scheme and to verify the significant impact of the scale effect coefficient on the optimal CODP location.

(1) Under the cloud logistics mode, the implementation of the logistics service mode based on mass customization can not only reduce the total cost of logistics services by means of the scale effect of massive orders on the cloud platform but also make more efficient use of a large number of logistics service providers gathered on the cloud platform to provide customers with more customized and diversified service content. (2) The scale effect coefficient directly affects the total cost of logistics services and significantly affects the location of the CODP. Therefore, before implementing the mass customization logistics service mode, the most reasonable clustering of orders on the cloud logistics platform is very important for the follow-up service combination.

The originality of this paper includes two aspects. One is to introduce the mass customization mode in the cloud logistics service environment for the first time and summarize the operation process of implementing the mass customization mode in the cloud logistics environment. Second, in order to solve the joint decision optimization model of provider selection and CODP positioning, this paper designs a method for solving a mixed-integer nonlinear programming model using a multi-layer coding genetic algorithm.

The purpose of this paper is to assess how the Economic Community of West African States (ECOWAS) renewable energy policy (EREP) affects energy intensity using the difference-in-difference (DID) and the propensity score matching methods (PSM). Based on the current debates on renewable energy policies (REP) and due to the fact that energy efficiency has been a challenge for ECOWAS member states. The authors set up a framework to assess the EREP effect on energy intensity.

Using the DID and PSM approaches the paper assesses the effect of EREP on energy intensity. The following three different paths are considered: Path 1 tests the EREP effect on electricity access. Path 2 tests the use of renewable energy sources as a factor to enhance the energy intensity. Path 3 tests whether or not use of renewable energy deployment has the potential to raise the total percentage of primary energy supply. The principle is to investigate if and to what extend the EREP increases the energy intensity.

The results indicate that EREP has a significantly positive effect on increasing the percentage of energy intensity in ECOWAS member states that has implemented the policy, resulting for a large percentage of the population to electricity access in treated groups. Empirical estimation results largely corroborate the three paths’ hypotheses. The result indicated that the EREP has increased the percentage of electricity access throughout the region.

The paper explores a more appropriate framework to examine the effect of EREP and enriches the literature on the impact of REP by combining a policy evaluation approach (PSM-DID) method. This paper is the first to the knowledge to estimate the EREP effect by using a non-parametric approach. The majority of previous studies have focused on using case studies, exploratory analysis approaches and econometric methods.

The purpose of this paper is to assess the application of the nascent corporate opportunity doctrine in China by comparison with its well-established English counterpart; in particular, it evaluates whether the fine balance between business integrity and business efficiency has been struck.

It is argued that the scope of application of the corporate opportunity doctrine in China should be extended, and the rules on the burden of proof should be amended. Moreover, a stricter approach should be adopted by the Chinese judiciary for the purpose of protecting the company’s interests and enhancing business integrity.

This paper mainly focuses on the corporate opportunity doctrine. It does not discuss other duties of directors in detail.

It is useful for directors in balancing business integrity and business efficiency.

It is an original piece of work which assesses the corporate opportunity doctrine by making comparison with English law.