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This study conducts a comparative analysis of the diversification effects of China's national carbon market (CEA) and the EU ETS Phase IV (EUA) within major commodity markets.

The study employs the TVP-VAR extension of the spillover index framework to scrutinize the information spillovers among the energy, agriculture, metal, and carbon markets. Subsequently, the study explores practical applications of these findings, emphasizing how investors can harness insights from information spillovers to refine their investment strategies.

First, the CEA provide ample opportunities for portfolio diversification between the energy, agriculture, and metal markets, a desirable feature that the EUA does not possess. Second, a portfolio comprising exclusively energy and carbon assets often exhibits the highest Sharpe ratio. Nevertheless, the inclusion of agricultural and metal commodities in a carbon-oriented portfolio may potentially compromise its performance. Finally, our results underscore the pronounced advantage of minimum spillover portfolios; particularly those that designed minimize net pairwise volatility spillover, in the context of China's national carbon market.

This study addresses the previously unexplored intersection of information spillovers and portfolio diversification in major commodity markets, with an emphasis on the role of CEA.

We phrase our analysis around the connectedness effects and portfolio allocation in the “Carbon-Energy-Green economy” system.

This paper utilizes the TVP-VAR method provided by Antonakakis et al. (2020) and Chatziantoniou et al. (2021), and portfolio back-testing models, including bivariate portfolios and multivariate portfolios.

Firstly, the connectedness within the “Carbon-Energy-Green economy” system is strong, and is mainly driven by short-term (weekly) connectedness. Notably, the COVID-19 pandemic leads to a vertical increase in the connectedness of this system. Secondly, in the “Carbon-Energy-Green economy” system, most of the sectors in the green economy stocks tend to be the transmitters of shocks to other markets (particularly the energy efficiency sector), while the carbon and energy markets are always the recipients of shocks from other markets (particularly the crude oil market). Thirdly, Green economy sector stocks have satisfactory hedging effects on the market risk of carbon and energy assets. Interestingly, hedging risks in relatively “dirty” assets requires more green economy stocks than in relatively “clean” assets. Finally, the results indicate that portfolios that include green economy stocks significantly outperform portfolios that do not contain green economy stocks, further demonstrating the crucial role of green economy stocks in this system.

Understanding the interactions and portfolio allocation in the “Carbon-Energy-Green economy” system, especially identifying the role of the green economy performance in this system, is important for investors and policymakers.

This study explored the influence of Dervin’s sensemaking methodology (SMM).

Citation context analysis was used to identify the most influential SMM concepts in 948 articles citing 34 SMM-related studies by Dervin that were published between 1983 and 2017. Moreover, the bibliometric method and content analysis were incorporated to examine the disciplines and research topics influenced by the SMM-related studies and the role of cited content in SMM-related studies.

The influence of SMM is concentrated in information behavior research in the field of library and information science (LIS). The 1992 book chapter From the mind’s eye of the user was most frequently cited, followed by the first SMM study from 1983; 14 of the 18 content categories were relevant to SMM. “Sensemaking,” at the core of SMM, was the most influential cited concept, primarily cited from the 1983 SMM-related study. Although the SMM was developed as a research method, it has not been primarily applied to design research methods in other studies.

This study explored the interdisciplinary influence of Dervin’s SMM from several aspects and demonstrated the complex information dynamics between SMM-related works and citing articles.

This study explores the mediating effects of relationship marketing orientation (RMO) and service quality orientation (SQO) on market orientation, selling orientation, and policyholder retention in non-life insurance services. Additionally, it offers important recommendations for non-life insurers in Taiwan for policy development and improving policyholder retention.

Data were collected from a sample of policyholders belonging to the top five non-life insurance companies in Taiwan. The data were then analyzed with structural equation modeling.

RMO and SQO mediate the effects of the salesperson’s market orientation on policyholder retention. Thus, RMO and SQO are key factors influencing policyholder retention. Consequently, high levels of market orientation should be maintained to increase RMO and SQO, strengthening the retention rate of non-life insurance policyholders.

The main limitation of this study is its cross-sectional nature. In the future, researchers should collect data from other countries and service industries (e.g. banks, securities, and other financial institutions), expand to different insurance contexts (e.g. life insurance), and conduct longitudinal studies or experimental research.

The results of this study can act as a guide for providers of non-life insurance services. Based on the research results, we recommend decision-makers pay increased attention to increasing policyholder retention rates by strengthening their firm’s RMO and SQO.

Few studies have investigated the relationships among market orientation, selling orientation, RMO, SQO, and policyholder retention in non-life insurance services within Asian contexts in general and specifically in Taiwan. Thus, this study’s theoretical contributions, managerial implications (especially for decision-makers), and the proposed future research directions represent timely and valuable additions to the literature.

The financial industry is becoming more intelligent and digital, and the adoption of new technologies is promoting financial innovation while making financial security subject to disruption. Internet finance, as a product of the rapid development of information technology and the financial industry, has ushered in major changes in the development of the financial industry. The application of new technologies in the financial sector will bring about the development of intelligent investment consulting businesses for financial institutions The development of such a business reduces the threshold at which a customer can obtain financial services and improves the convenience and accessibility of financial services. Under the complex domestic and international economic situation, enterprises need to pay attention to financial risks and reasonably control financial risks. Applying blockchain technology to supply chain financial risk management has a natural match for solving the traditional difficulties in supply chain risk. This chapter mainly describes the types, assessment methods and existing problems of financial risks, as well as the prevention and control of network security risk management and Internet financial risk management arising therefrom, and also involves stress testing and scenario planning, blockchain-based financial risk management and risk culture, among which financial risk assessment and Internet financial risk management are mainly the content. With the help of information technology, we can effectively identify and prevent all kinds of risks and effectively promote the sustainable and healthy development of the financial industry.

The ongoing evolution of the Internet and the subsequent digitalisation of financial services, along with the ever-increasing innovation of financial products, have rendered consumers more vulnerable to a wider range of fraud in the banking sector and, particularly, to consumer financial fraud (CFF). This paper aims to analyse the factors that may contribute to CFF exposure and victimisation among Spaniards, with a special focus on financial literacy.

This paper provides a comprehensive overview of leading publications on the topic, followed by empirical analyses using regression models with a sample of 6,207 Spanish individuals drawn from the Survey of Financial Competences.

Objective and subjective financial knowledge are positively correlated with CFF exposure via email but do not protect against CFF victimisation. Similarly, financial knowledge overconfidence is positively related to the former but fails to constitute a driver of the latter. Financial inclusion, measured by the number of financial products held, not only increases the risk of this exposure but also contributes to its subsequent victimisation.

To the best of the authors' knowledge, no previous paper has analysed the relationship between CFF and financial literacy by differentiating two types of vulnerabilities to fraud (exposure and victimisation) while considering different constructs of financial literacy. Dissecting these two domains may explain why the same financial literacy construct can have different effects at both stages of financial fraud and, furthermore, how different financial literacy constructs may affect the same stage of financial fraud.

This study aims to explore the impact mechanism of social support on individual health knowledge creation among users in online patient communities, guide and promote the creation of health knowledge and provide insights into managing online patient communities.

A theoretical model was constructed by integrating social impact and social support theories. Data were collected through questionnaires, and 750 valid responses were analysed using a structural equation model.

This study found the following. (1) Social support influences individual health knowledge creation through the mediating effects of creative self-efficacy and positive emotions. (2) The general rule of the strength of the influencing factors on individual health knowledge creation is that creative self-efficacy > positive emotions. (3) The general pattern of the mediating effect of attitude factors between social support and health knowledge creation is that creative self-efficacy > positive emotions. (4) The key path for social support to influence individual health knowledge creation is “social support → creative self-efficacy → health knowledge creation”. (5) The dimensions of social support in online patient communities can be divided into information, emotional, respect and network support. Individual health knowledge creation can be divided into health knowledge externalisation, combination, socialisation and internalisation.

This study expands the application scope of social influence theory and opens up the “black box” of the impact of social support on individual health knowledge creation behaviour. Simultaneously, the dimensions of social support, individual health knowledge creation and the mediating role between social support and health knowledge creation are discussed.

Autistic individuals are employed and access higher education opportunities at significantly lower rates than their nondisabled peers (US Bureau of Labor Statistics [BLS], 2023; Newman, 2015). Schools are an optimal setting for intervention as most individuals access the school setting. However, traditional support to facilitate postsecondary transition effectively, such as transition plans, is currently lacking (Greene, 2018; Hughes et al., 2023). The authors of the present chapter conducted a systematic review to identify school-based interventions available for autistic youth intended to support the transition from high school to higher education, entrepreneurship, and employment. The data extraction methods used by the authors identified 19 articles on interventions. Across all studies, the authors found variation in the extent to which researchers addressed entrepreneurial skills and identified two key skill development areas across different intervention modalities: employability skills and interpersonal communication skills. Based on these results, the authors discuss available school-based programming intended to prepare autistic youth for postsecondary careers and entrepreneurial opportunities and the implications of existing interventions for practitioners and researchers interested in improving outcomes for autistic students as they transition to the workplace, particularly entrepreneurial endeavors.

In the digital workplace, enterprise social media (ESM) are widely used for work and social purposes, which may afford employees resources to build their career adaptability. However, limited theoretical evidence is about how to build career adaptability through different ESM uses (work-oriented ESM use and socialization-oriented ESM use). This study thus aims to enrich the theoretical understanding of the relationship between different ESM uses and career adaptability by examining the different mediating mechanisms of role clarity and psychological closeness and the moderating effect of mindfulness based on affordance theory.

SPSS PROCESS and AMOS were used to analyze the data collected from 209 full-time employees at three-time points.

Our results showed that work-oriented ESM use exerts a positive effect on employees’ career adaptability via role clarity, while socialization-oriented ESM use has a positive effect on employees’ career adaptability via psychological closeness. Mindfulness strengthens the positive effect of work-oriented ESM use on career adaptability via role clarity.

Managers need to notice that both work-oriented and socialization-oriented ESM use can benefit employees, but there are different effecting mechanisms of ESM use for work and social purposes, and organizations should keep cultivating the mindfulness of employees.

This study contributes to the ESM literature by investigating two different influencing mechanisms of ESM uses on employees’ career adaptability and the moderating effects of mindfulness.

Autonomous underwater vehicle (AUV) is widely used in resource prospection and underwater detection due to its excellent performance. This study considers input saturation, nonlinear model uncertainties and external ocean current disturbances. The containment errors can be limited to a small neighborhood of zero in finite time by employing control strategy. The control strategy can keep errors within a certain range between the trajectory followed by AUVs and their intended targets. This can mitigate the issues of collisions and disruptions in communication which may arise from AUVs being in close proximity or excessively distant from each other.

The tracking errors are constrained. Based on the directed communication topology, a cooperative formation control algorithm for multi-AUV systems with constrained errors is designed. By using the saturation function, state observers are designed to estimate the AUV’s velocity in six degrees of freedom. A new virtual control algorithm is designed through combining backstepping technique and the tan-type barrier Lyapunov function. Neural networks are used to estimate and compensate for the nonlinear model uncertainties and external ocean current disturbances. A neural network adaptive law is designed.

The containment errors can be limited to a small neighborhood of zero in finite time so that follower AUVs can arrive at the convex hull consisting of leader AUVs within finite time. The validity of the results is indicated by simulations.

The state observers are designed to approximate the speed of the AUV and improve the accuracy of the control method. The anti-saturation function and neural network adaptive law are designed to deal with input saturation and general disturbances, respectively. It can ensure the safety and reliability of the multiple AUV systems.