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The purpose of this paper is to demonstrate the relationship between intellectual capital and innovative performance, and to specify the boundary conditions and mechanisms of the relationship from a knowledge-based dynamic capability perspective.

This study empirically analyzes the impact of intellectual capital on innovative performance and the role knowledge-based dynamic capability plays with a sample of 217 firms in China. To test the research hypotheses, regression analysis is applied.

The results show that intellectual capital positively affects innovative performance, and knowledge-based dynamic capability is a mediator rather than a moderator which partly mediates the relationship between intellectual capital and innovative performance.

The findings suggest that realizing superior innovative performance is dependent on a firm’s intellectual capital and its ability to sense opportunities and threats, to make timely and correct decisions, and to facilitate necessary changes efficiently.

This study is the first to clarify whether knowledge-based dynamic capability plays a moderating role or a mediating role between intellectual capital and innovative performance. The present study thus helps move forward the understanding on the conditions and mechanisms of the effects of intellectual capital.

The impact of rolling on the performance of micro arc oxidation (MAO) coatings on ZM5 alloy has been underreported. The purpose of this study is to explore the correlation between rolling and the failure mechanism of MAO coatings in greater depth.

The influence of rolling on the corrosion and wear properties of MAO coating was investigated by phase structure, bond strength test (initial bond strength and wet adhesion), electrochemical impedance spectroscopy and wear test. The change of the surface electrochemical properties was studied by first principles analysis.

The results showed that the MAO coating on rolled alloy had better corrosion and wear resistance compared to cast alloy, although the structure and component content of two kinds of MAO coating are nearly identical. The difference in interface bonding between MAO coating and Mg substrate is the primary factor contributing to the disparity in performance between the two types of samples. Finally, the impact of the rolling process on MAO coating properties is explained through first-principle calculation.

A comprehensive explanation of the impact of the rolling process on MAO coating properties will provide substantial support for enhancing the application of Mg alloy anticorrosion.

This study examined subjective numeracy and its relationship with accounting judgements on probability issues.

A subjective numeracy scale (SNS) questionnaire was distributed to 231 accounting students to measure self-evaluated numeracy. Modified Bayesian reasoning tasks were applied in an accounting-related probability estimation, manipulating presentation formats.

The study revealed a positive relationship between self-evaluated numeracy and performance in accounting probability estimation. The findings suggest that switching the format of probability expressions from percentages to frequencies can improve the performance of participants with low self-evaluated numeracy.

Adding objective numeracy measurements could enhance results. Future numeracy research could add objective numeracy items and assess whether this influences participants' self-perceived numeracy. Based on this sample population of accounting students, the findings may not apply to large populations of accounting-information users.

Investors' ability to exercise sound judgement depends on the accuracy of their probability estimations. Manipulating the format of probability expressions can improve probability estimation performance in investors with low self-evaluated numeracy.

This study identified a significant performance gap among participants in performing accounting probability estimations: those with high self-evaluated numeracy performed better than those with low self-evaluated numeracy. The authors also explored a method other than additional training to improve participants' performance on probability estimation tasks and discovered that frequency formats enhanced the performance of participants with low self-evaluated numeracy.

This study aims to explore the factors influencing the evolution of emerging technology innovation network (ETIN) in combination with the key attributes and life cycle of emerging technologies, particularly the impact of multiple knowledge attributes and technology life cycle on the ETIN evolution.

This study collects 5G patent data and their citation information from the Derwent Innovations Index to construct a 5G technology innovation network (5GIN) as a sample network and conducts an empirical analysis of the 5GIN using the temporal exponential random graph model (TERGM).

The results indicate that during the 5GIN evolution, the network scale continues to expand and exhibits increasingly significant core-periphery structure, scale-free characteristic, small-world characteristic and community structure. Furthermore, the findings suggest that the multiple knowledge attributes based on the key attributes of emerging technologies, including knowledge novelty, coherence, growth and impact, have a significant positive influence on the ETIN evolution. Meanwhile, the temporal evolution of ETIN is also found to be correlated with the life cycle of emerging technologies.

This study extends the exploration of emerging technology research from a complex network perspective, providing a more realistic explanatory framework for the factors influencing ETIN evolution. It further highlights the important role that multiple knowledge attributes and the technology life cycle play within this framework.

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.

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.

The purpose of this paper is to explore and empirically test fairness in predicting online customer satisfaction in the internet banking context. The paper also aims to further explore the mechanism through which fairness influences customer satisfaction online, i.e. identifying the mediators.

A survey is used to validate a research model based on equity theory and relationship marketing theory that incorporates fairness, trust, perceived value and customer satisfaction. A total of 331 surveys were analyzed using Partial Least Square.

In internet banking, fairness that includes distributive fairness, procedural fairness and informational fairness is positively related to customer satisfaction. Trust is identified as the key mediator of fairness to customer satisfaction.

In an online context, where human interactions are replaced by graphic user interfaces, fairness still plays an important role in customer satisfaction. Further comparison of online and offline context could be conducted.

For online service managers, it is crucial to incorporate the fairness perspective into operations, which involves topics like segmented marketing efforts, consistency in procedures, and providing ample information to customers.

This research is one of the first attempts to examine fairness in internet banking, as well as to delineate the mediating process of fairness to satisfaction online.

The purpose of this paper is to determine the predominant classification of intellectual capital (IC), in terms of components, using the literature of reference on the relationship between IC and performance and considering multi-dimensional analysis axes (MAAs): organisational, regional and national.

A systematic literature review (SLR) is presented focussing on empirical studies on IC published in the period 1960-2016. A protocol for action is defined and a research question is raised, gathering data from the databases of: Web of Science, Scopus and Google Scholar. A social network analysis is also provided to determine the type of networks embracing groups, IC individual components and performance type.

Of the 777 papers included in the SLR, 189 deal with the relationship between IC and performance. The paper highlights the greater development of empirical studies starting from 2004; the organisational MAA is the most studied. The most frequently used groups of components in studies dealing with IC’s influence on performance corresponds to a triad of human capital; structural (organisational or process) capital; and relational (social or customer) capital, which determine positively the performance of organisations/regions/countries, but their influence is not linear and depends on various factors associated with the context and surrounding environment.

This study has wide-ranging implications for politicians/governments, managers and academics, providing empirical evidence about the relationships between the components of IC and performance, by MAAs, and a global vision and better understanding of how those IC components have developed and how they are related to performance.

Due to the high number of references covering a wide range of disciplines and the various dimensions (e.g. organisational, regional and national) that form IC, it becomes fundamental to carry out an SRL and systematise its MAAs to deepen knowledge about what has been discovered/developed in this domain, in terms of empirical studies, in order to situate the topic in a wider theoretical-practical context. The paper is exceptionally wide-ranging, covering the period 1960-2016. It is one of the first clarifying studies on systemisation of the literature on IC, by MAA, and an in-depth study of IC’s impact on the performance of organisations/regions and countries which may serve as a guideline for future studies using the taxonomy proposed.