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To remain competitive in an unpredictable environment where the complexity and frequency of cybercrime are rapidly increasing, a cyber resiliency strategy is vital for business continuity. However, one of the barriers to improving cyber resilience is that security defense and accident recovery do not combine efficaciously, as embodied by emphasizing cyber security defense strategies, leaving firms ill-prepared to respond to attacks. The present study thus develops an expected resilience framework to assess cyber resilience, analyze cyber security defense and recovery investment strategies and balance security investment allocation strategies.

Based on the expected utility theory, this paper presents an expected resilience framework, including an expected investment resilience model and an expected profit resilience model that directly addresses the optimal joint investment decisions between defense and recovery. The effects of linear and nonlinear recovery functions, risk interdependence and cyber insurance on defense and recovery investment are also analyzed.

According to the findings, increasing the defense investment coefficient reduces defense and recovery investment while increasing the expected resilience. The nonlinear recovery function requires a smaller defense investment and overall security investment than the linear one, reflecting the former’s advantages in lowering cybersecurity costs. Moreover, risk interdependence has positive externalities for boosting defense and recovery investment, meaning that the expected profit resilience model can reduce free-riding behavior in security investments. Insurance creates moral hazard for firms by lowering defensive investment, yet after purchasing insurance, expanded coverage and cost-effectiveness incentivize firms to increase defense and recovery spending, respectively.

The paper is innovative in its methodology as it offers an expected cyber resilience framework for integrating defense and recovery investment and their effects on security investment allocation, which is crucial for building cybersecurity resilience but receives little attention in cybersecurity economics. It also provides theoretical advances for cyber resilience assessment and optimum investment allocation in other fields, such as cyber-physical systems, power and water infrastructure – moving from a resilience triangle metric to an expected utility theory-based method.

This research is aimed to examine how environmental pollution affects consumers' preference for self-improvement products.

Through a series of three experimental studies, this research substantiates our hypotheses by employing various manipulations of environmental pollution and examining different types of self-improvement products.

The research demonstrates that environmental pollution enhances consumers' preference for self-improvement products via the mediation of perceived environmental responsibility. And the effect is negatively moderated by social equity sensitivity.

The recurrent incidence of environmental pollution has elicited significant concern among the general public and academic scholars. An overwhelming majority of research examining the impact of pollution on consumer behavior has concentrated on its influence on environmentally friendly and healthy consumption patterns. Nevertheless, the current research proposes that pollution fosters a preference for products associated with self-improvement, mediated by perceived environmental responsibility, with the effects being moderated by social equity sensitivity.

The purpose of this paper is to examine the influence of intelligent manufacturing on audit quality and its underlying mechanism as well as the variation in this influence across different types of organizations.

This research utilizes a difference-in-differences (DID) method to examine how enterprises that apply intelligent manufacturing choose auditors and impact their audit work. The study is based on 15,228 observations of Chinese-listed A-shares from 2011 to 2020.

(1) There is a strong correlation between intelligent manufacturing and audit quality. (2) This positive correlation is statistically significant only in state-owned enterprises (SOEs), those that have steady institutional investors and where the roles of the CEO and chairman are distinct. (3) Enterprises that have implemented intelligent manufacturing are more inclined to employ auditors who possess extensive industry expertise. The auditor's industry expertise plays a crucial role in ensuring audit quality. (4) The adoption of intelligent manufacturing also leads to higher audit fees and longer audit delay periods.

This paper validates the beneficial impact of intelligent manufacturing on improving corporate governance. In addition, it is recommended that managers prioritize the involvement of skilled auditors with specialized knowledge in the industry to ensure the high audit quality and the transparency of information in intelligent manufacturing enterprises.

This study builds upon previous research that has shown the importance of artificial intelligence in enhancing audit procedures. It contributes to the existing body of knowledge by examining how enterprise intelligent manufacturing systems (IMS) enhance audit quality. Additionally, this study provides valuable information on how to improve audit quality in the field of intelligent manufacturing by strategically selecting auditors based on resource dependency theory.

Salt rock from salt lakes can serve as a cost-effective material for subgrade filling, as demonstrated in projects like the Qarhan Salt Lake section of the Qinghai-Tibet Railway and the Qarhan Salt Lake section of the G215 Highway. This state-of-the-art paper aims to summarize the engineering properties of salt rock filling and present the advances of its utilization.

This paper collects and analyzes laboratory and field data of salt rock filling from previous studies to present a comprehensive analysis of the engineering properties and utilization of salt rock fillings.

Salt rock primarily contains minerals such as halite and glauberite, which contribute to its unique phase-changing behavior under varying environmental conditions, impacting its mechanical properties. Salt rock filling shrinks when in contact with vapor or unsaturated brine and expands under cooling or evaporation. Its use is particularly recommended for arid regions, with specific restrictions depending on the structure type. This paper discusses suggested countermeasures to mitigate these issues, as well as key quality acceptance indices for salt rock filling compaction. Moisture content after air-drying is recommended as a crucial parameter for construction quality control.

This review aims to support future research and engineering practices in salt rock subgrade applications.

Farmer-supermarket direct purchase (FSDP) is one of the significant innovative modes in the circulation of agricultural products. The previous studies on the FSDP mode were mainly premised on the assumption of power symmetry among cooperative players. Nevertheless, in reality, power asymmetry often exists among players because of restricted coalitions and diverse input resources. In this research, the influence of power asymmetry on profit distribution among various players in FSDP is explored.

The power asymmetry within FSDP is explored in two aspects: the distinct status of coalition structure and the varying degrees of dependence among players. Since FSDP is a typical cooperative mode, an average tree solution (abbreviated as “A-T solution”) of a cooperative game with a restricted coalition structure and the tripartite mutual deterrence model with a dependency factor are analyzed. Subsequently, the corresponding profit distribution strategies of FSDP are provided.

This research demonstrates that the cooperative coalition structure and/or location and the degree of dependence on other players can affect their profit-earning capacity during the FSDP process. Furthermore, the players' ability to distribute profits is negatively associated with the degree of interdependence (dependency factor). It is shown by the fact that cooperatives are at the center of FSDP, as farmers in China are a dispersed and powerless group; in a word, the FSDP supply chain is a restricted coalition structure. Even in an arbitrary coalition structure, farmers still remain in a weak position and lack the power of speech in the distribution of profits. Therefore, enhancing the position of farmers is necessary to stabilize cooperative relationships in supply chains.

These methods have broad potential applications to research power asymmetry in supply chain management. However, it is only applicable in situations where significant information on alliance structure and the dependence degree is available.

This study concentrates on the factors of power asymmetry and investigates the influence of power asymmetry on the profit distribution among players, thereby expanding the depth and width of the research on FSDP. The key contribution of this paper lies in explaining the “unfair” profit distribution scheme in FSDP from coalition cooperative game and bargaining game theory (a mathematical perspective). It provides a decision-making basis for enhancing the overall position of farmers in the agricultural supply chain.

This study investigates the factors influencing the saving behaviour of Chinese Generation Z (Gen Z) through Internet wealth management (IWM) services. It adopts the unified theory of acceptance and use of technology (UTAUT) as the theoretical framework, focusing on key determinants such as performance expectancy (PE), effort expectancy (EE), social influence (SI) and facilitating conditions (FC). The research also explores the mediating role of the intention to save via IWM and its subsequent influence on actual saving behaviour.

The hypotheses were assessed using data collected from 274 Gen Z users in China. The data were analysed using the partial least squares structural equation modelling.

The results suggest that the formation of intention among Gen Z to save through IWM services is directly affected by factors such as PE, EE, SI and FC. Intention to save via IWM positively influences actual saving behaviour. Mediation analysis further confirms the mediating role of intention to save via IWM in these relationships.

The findings have direct implications for financial institutions and policymakers engaged in promoting the practice of saving via IWM services among Gen Z, thereby fostering a culture of proactive financial management and encouraging saving behaviour.

The study contributes to the existing literature by being among the first to examine Gen Z’s IWM adoption as a personal saving tool through the theoretical lens of the UTAUT.

This study investigated the impact of entrepreneurship education on the international entrepreneurship intention of the university students while considering the mediating roles of entrepreneurship alertness, proactive personality, innovative behaviour and the moderating role of global mindset in this relationship.

The research employs a survey methodology, utilising a structured questionnaire for data collection. The study specifically concentrates on students enrolled at Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development (AAMUSTED) in Ghana, drawing its sample from six academic programmes within the university. Data analysis is conducted using structural equation modeling (SEM).

The findings of this research revealed that entrepreneurship education exerts a positive influence on the international entrepreneurial intention. Furthermore, entrepreneurship alertness acts as a mediator in the relationship between entrepreneurship education and innovative behaviour. Similarly, a proactive personality serves as a mediating factor between entrepreneurship education and innovative behaviour. Moreover, innovative behaviour operates as a mediator in the relationship between entrepreneurship education and international entrepreneurship intention. Additionally, a global mindset plays a crucial moderating role in the connection between entrepreneurship education and international entrepreneurship intention.

This study makes a significant contribution to the field by shedding light on the mediating roles of proactive personality, entrepreneurial alertness, innovative behaviour and global mindset moderating the relationship between entrepreneurship education and international entrepreneurship intention. These insights offer fresh perspectives on the complex dynamics at play in the realm of entrepreneurship education and its impact on students' intentions for the international entrepreneurship.

Recognizing the crucial role of leadership in innovation, this study aims to investigate the role of ambidextrous leadership (opening and closing leadership behaviors) in marketing departments’ innovation ambidexterity (exploratory and exploitative innovations), including the mediating and moderating roles of marketing managers’ psychological capital (PsyCap) and proactive personality, respectively.

A two-wave survey of 198 marketing managers from firms in Vietnam was conducted. Partial least squares structural equation modeling was used in hypotheses testing (net effects), and necessary condition analysis was used to decipher the necessity level of the determinants of innovation ambidexterity.

Opening leadership behavior positively affects exploratory innovation while closing leadership behavior enhances exploitative innovation. The effect of opening leadership behavior on exploratory innovation is mediated and moderated by PsyCap and proactive personality, respectively; the opposite is found for the relationship between closing leadership behavior and exploitative innovation. Finally, PsyCap is a necessary condition for exploratory innovation, whereas PsyCap and closing leadership behavior are necessary conditions for exploitative innovation.

Firms should pay attention to the role of ambidexterity in leadership to enable marketing managers to direct their marketing departments to acquire new knowledge, skills and processes, and reinforce existing ones to foster innovation ambidexterity. They should also consider the necessary role of the factors that help achieve the desired level of target outcomes.

This study identifies two boundary conditions (PsyCap, a mediator; and proactive personality, a moderator) for the relationship between opening leadership behavior and exploratory innovation. To the best of the authors’ knowledge, this study is among the first to decipher the necessity level of the determinants of innovation ambidexterity.

The purpose of this paper is to combine triboelectric nanogeneration technology with ball bearing structure to achieve energy collection and fault monitoring.

In this paper, according to the rotation mode of ball bearings, the freestanding mode of triboelectric nanogeneration is selected to design and manufacture a novel triboelectric nanogeneration device Rolling Ball Triboelectric Nanogenerator (RB-TENG) which combines rotary energy collection with ball bearing fault self-sensing.

The 10,000s continuous operation experiment of the RB-TENG is carried out to verify its robustness. The accurate feedback relationship between the RB-TENG and rotation velocity can be demonstrated by the fitting comparison between the theoretical and experimental electrical signal periods at a certain time. By comparing the output electrical signals of the normal RB-TENG and the rotor spalling RB-TENG and polytetrafluoroethylene (PTFE) balls with different degrees of wear at 500 r/min, it can be concluded that the RB-TENG has an ideal monitoring effect on the radial clearance distance of bearings. The spalling fault test of the RB-TENG stator inner ring and rotor outer ring is carried out.

Through coupling experiments of rotor spalling fault of the RB-TENG and PTFE balls fault with different degrees of wear, it can be seen that when rotor spalling fault occurs, balls wear has a greater impact on the normal operation of the RB-TENG, and it is easier to identify. The fault self-sensing ability of the RB-TENG can be obtained, which is expected to provide an effective scheme for monitoring the radial wear clearance distance of ball bearings.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-08-2024-0295/

This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques.

This study explores a substantial large data set of 330,399 user reviews available in the form of unstructured textual data from neobanking mobile applications. This study is aimed to extract meaningful patterns, topics, sentiments and themes from the data.

The results show that the success of neobanking mobile applications depends on user experience, security features, personalised services and technological innovation.

This study is limited to textual resources available in the public domain, and hence may not present the entire range of user experiences. Further studies should incorporate a wider range of data sources and investigate the impact of regional disparities on user preferences.

This study provides actionable ideas for neobanking service providers, enabling them to improve service quality and mobile application user experience by integrating customer input and the latest trends. These results can offer important inputs to the process of user interaction design, implementation of new features and customer support services.

This study uses text mining approaches to analyse neobanking mobile applications, which further contribute to the growing literature on digital banking and FinTech. This study offers a unique view of consumer behaviour and preferences in the realm of digital banking, which will add to the literature on the quality of service concerning mobile applications.