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This paper aims to design a PD controller for an active suspension system to improve the car’s moving smoothness.

The controller parameters are optimized by an in-loop genetic algorithm (iL-GA). Unlike previous studies that only used conventional GAs to tune coefficients for the controller, the iL-GA designed in this paper provides outstanding efficiency when determining the optimal value range for the system. The optimal value range of parameters is determined by the in-loop algorithm based on criteria related to systematic errors. The optimal values are then calculated by the GA based on this range instead of an uncertain one.

Simulation results show that vehicle body acceleration and displacement values are significantly reduced when using the active suspension system compared to the conventional passive suspension system. The phase difference phenomenon does not occur in the iL-GA situation. In addition, the frequency domain investigation also shows the system’s stability when using iL-GA instead of conventional GA.

To the best of the authors’ knowledge, this is a new application that provides positive effects to the suspension controller. This algorithm can be applied to tune coefficients for direct controllers in the future.

This study aims to investigate the claim that there is no coherent and homogeneous body of concepts and practices that can be classified as “Islamic accounting”.

The study focuses specifically on Islamic accounting and uses a qualitative historical documentary analysis methodology to study an original manuscript from the 14th century.

The analysis of the manuscript argues that religious accounting can be seen as a value-based system for achieving social good and that in the context of Islamic accounting, it can be conceptualised as a coherent body of ideas and practices.

Firstly, the study conceptualises Islamic accounting as a homogeneous discipline with its own knowledge, concepts and practices. Secondly, it contributes to current accounting literature by examining an ancient manuscript from the 14th century, which serves as a foundation for understanding the Islamic accounting system within the context of accounting, religion and spirituality. The paper further contributes by arguing that this conceptualisation of religious accounting as a value-based approach enables its practitioners to evaluate their own accountabilities in delivering on socioeconomic objectives related to inter-human/environmental, social and financial transactions within the context of religious accounting practices.

The current body of empirical research regarding the impact of trust in the cybersecurity commitment of institutions on digital payment usage has focused solely on a macro-level analysis, overlooking the intricate dynamics between institutions' cybersecurity commitments and the trust levels of digital payment users. In light of this limitation, this study aims to offer a more comprehensive understanding of this complex relationship.

A case study was conducted on digital payment users in India through the critical realist lens. To gather data, interviews and focus group discussions were conducted with digital payment users from various regions of the country.

The citizen-centric outcomes of the national cybersecurity commitment (performance and responsiveness) are the most prominent and impactful trust indicators. These outcomes play a crucial role in shaping digital payment users' perception and trust in the cybersecurity commitment of public institutions. Individuals' value positions also influence trust judgments, as it is essential to recognize the value tensions that may arise due to security implementation and their congruence with citizens' values.

The findings of this study have significant implications for policymakers. They are potentially an artifact of the security and perception of digital payment users and the cultural uniqueness of digital payment users in India.

The study proposes a holistic understanding of the relationship between institutions' cybersecurity commitments and the trust levels of digital payment users. It offers a qualitative evaluation of how digital payment users perceive and construe efficient information security management implemented by public institutions.

Heritage building management serves as a potent catalyst for sustainability, yet it poses a distinctive set of challenges. Achieving a harmonious balance between conserving the building's historical and cultural value and ensuring modern functionality and safety remains a primary concern. The present work proposes a socio-technical approach to the development and use of a digital twin (DT) that will integrate social data related to the use of heritage buildings with building and environmental data.

The paper presents a logical and systematic joined-up management framework to the targeted heritage buildings, according to a “Whole Building” approach. Our approach is informed by the underpinning assumption that a heritage building and even more a heritage neighborhood is a socio-technical, complex and dynamic system, the change of which depends on the dynamic interconnections of materials, competences, resources, values, space/environment, senses and time.

A heritage dynamics approach is adopted to unfold the dynamic nature of heritage and to better inform decisions that can be made in the present and future, achieving people-centered and place-based heritage management. This proposition underlines the heritage transformation as a complex systemic process that consists of nonlinear interconnections of multiple heterogeneous factors (values, senses, attitudes, spaces and resources).

This paper presents a multi-level framework of DTs that interact hierarchically to comprehensively understand, assimilate and seamlessly integrate intricate contexts, even when faced with conflicting conditions from diverse cultural heritage entities. This paper outlines the importance of the iterative system dynamics (SD) approach, which enables adaptive management and ensures the resilience of cultural heritage over time.

Peer-to-peer (P2P) secondhand resale platforms (SRP) are competitive places where different value systems beyond market values interact. This study aims to investigate the conflicts that may arise in interactions between users on SRP and the extent to which these conflicts are (ir)resolved, by drawing on economies of worth theory.

The study takes a qualitative and interpretative approach to examine 22 active users on P2P resales platforms such as Vinted, including in-depth interviews. Following the Straussian view of grounded theory, the study uses constant comparison (open, axial and selective coding) to analyze data on SRP users’ experiences.

Drawing on the economies of worth theory, the study shows that SRP users rely on four different value systems or “worlds” when using the platforms (market, domestic, green and civic worlds) that come into conflict, at either an interactional (three conflicts identified) or an individual (two conflicts identified) level. The findings reveal that these conflicts are temporarily resolved at the interactional level and in a sustainable way at the individual level.

This study sheds further light on the relationship between consumers on SRP by offering a more nuanced perspective on these exchanges than market-oriented exchanges. It also analyzes the data through the economies of worth theory, which is an appropriate lens to better understand social interactions and conventions. Finally, the study offers recommendations on how managers can improve buyers’ and sellers’ experiences on these platforms and, thus, foster their satisfaction.

The paper positions social and technological innovation as pivotal counterforces to conservative resistance against change, particularly in light of the recurrent economic and technological upheavals characterizing the present shape of capitalism.

The research adopts a qualitative methodology, rooted in a comparative case study approach, offering a critical retrospective analysis of societal disruptions and transformations. Central to this methodological framework is the construct of sensemaking, which is characterized as the process by which collective entities retrospectively develop plausible narratives that rationalize their experiences. The approach is informed by the dynamics of socio-ecological systems, which are understood to undergo cyclical phases of growth, stabilization, collapse, and regeneration.

The study shows evidence that resilience and adaptability are more authentically gauged by socio-technological responses to cyclical disruptions and recoveries. It delineates sensemaking as a crucial socioecological mechanism through which elicitation emerges and societies and organizations navigate these cycles, forging shared narratives from collective experiences that are driven by plausibility rather than mere accuracy.

The research calls for the development of policies that synthesize disruptive innovations with strategies for social cohesion. Such policies must ensure the protection of the socioeconomic texture from implicit structural precariousness arising from innovation. The ability to integrate and institutionalize change is emphasized as crucial, demanding a synergy between innovative creativity, new normative frameworks, and the preservation of fundamental societal values.

The paper challenges reductionist technological interpretations of societal changes, advocating for a holistic perspective that accounts for the redistributive and elicitation roles as vital to the evolution of socio-economic systems. The value of this research lies in its comprehensive framing of these transformations, underscoring the importance of a multi-faceted understanding in the effective management of socioeconomic change.

The key to preventing employees from engaging in deceptive knowledge hiding is fostering a responsible environment. Drawing on social cognitive theory, this study aims to explore the factors that inhibit deceptive knowledge hiding and to construct potential pathways for enhancing individual moral cognition. This study further analyzes the moderating effect of leader–follower value congruence on these relationships.

Using data from 341 full-time employees in various service industries in China, this study conducted path analysis, the product-of-coefficients method and bootstrapping to test the hypotheses through a three-stage, time-lagged survey.

The empirical results show that responsible leadership is negatively associated with employees’ deceptive knowledge hiding. Employee moral reflectiveness mediates this relationship, whereas leader–follower value congruence moderates the indirect effect of responsible leadership on deceptive knowledge hiding through moral reflectiveness.

First, this study extends field research by introducing positive leadership factors to reduce deceptive knowledge hiding, whereas prior studies focused mainly on negative leadership antecedents. Second, this study sheds light on the underlying moral cognitive mechanisms and explains how responsible leadership can prevent implicit unethical behavior. Third, it reveals how leader–follower value congruence can enhance the impact of responsible leadership on moral reflectiveness, offering novel insights into the role of value-based fit in reducing deceptive knowledge hiding.

This study aims to propose that the corrosion resistance of the neat epoxy coating can be further enhanced by incorporating reinforcing agents.

Chitosan, silica and their hybrid compound were used to study the subject of corrosion resistance of epoxy coating systems. This work used 3.5 Wt.% NaCl solution as the electrolyte, and electrochemical impedance spectroscopy (EIS) was used to investigate the electrochemical behaviour of the studied coating systems. Standard and accelerated states were used without and with scratch on the coating layer.

It was found that the impedance value of composite coating incorporated with the hybrid compound was significantly higher at 10¹⁰ Ω after 14 days of exposure in both testing states. The breakpoint frequency (f_b) determination also proves with large capacitive region at low-to-high frequency of impedance plots corresponding to the high corrosion resistance.

The hybrid compound consisting of chitosan as organic biopolymer and silica as inorganic material, respectively, served as a promising reinforcing agent for composite coating as a promising corrosion inhibitor. Different states of EIS measurement were used which are standard (without scratch) and accelerated (with scratch) states associated with the f_b values.

In the evolution process of building construction accidents, there are key nodes of risk change. This paper aims to quickly identify the key nodes and quantitatively assess the node risk. Furthermore, it is essential to propose risk accumulation assessment method of building construction.

Authors analyzed 419 accidents investigation reports on building construction. In total, 39 risk factors were identified by accidents analysis. These risk factors were combined with 245 risk evolution chains. Based on those, Gephi software was used to draw the risk evolution network model for building construction. Topological parameters were applied to interpret the risk evolution network characteristic.

Combining complex network with risk matrix, the standard of quantitative classification of node risk level is formulated. After quantitative analysis of node risk, 7 items of medium-risk node, 3 items of high-risk node and 2 items of higher-risk nodes are determined. The application results show that the system risk of the project is 44.67%, which is the high risk level. It can reflect the actual safety conditions of the project in a more comprehensive way.

This paper determined the level of node risk only using the node degree and risk matrix. In future research, more node topological parameters that could be applied to node risk, such as clustering coefficients, mesoscopic numbers, centrality, PageRank, etc.

This article can quantitatively assess the risk accumulation of building construction. It would help safety managers could clarify the system risk status. Moreover, it also contributes to reveal the correspondence between risk accumulation and accident evolution.

This study comprehensively considers the likelihood, consequences and correlation to assess node risk. Based on this, single-node risk and system risk assessment methods of building construction systems were proposed. It provided a promising method and idea for the risk accumulation assessment method of building construction. Moreover, evolution process of node risk is explained from the perspective of risk accumulation.

This study aims to offer insights into a sounder understanding of tourist behavior and travel patterns by systematically identifying psychological manifestations reflected in the basic human value system in the pandemic-induced environment.

A large random sample (49,519 respondents from 29 European countries), generated from the core module Round 9 of the European Social Survey, was used. A post-COVID-19 psychological travel behavior model was constructed by using 12 variables within two opposing value structures (openness to change versus conservatism), shaping specific personalities.

Four types of tourists were identified by using K-means cluster analysis (risk-sensitive, risk-indifferent, risk-tolerant and risk-resistant). The risk-sensibility varied across the groups and was influenced by socio-demographic characteristics, economic status and even differed geographically among nations and traveling cultures.

First, data were collected before the pandemic and did not include information on tourism participation. Second, the model was fully driven by internal factors – motivation. Investigation of additional variables, especially those related to socialization aspects, and some external factors of influence on travel behaviors during and after the crisis, will provide more precise scientific reasoning.

The model was upgraded to some current constructs of salient short-term post-COVID-19 travel behavior embedded in the core principles of universal human values. By separating specific segments of tourists who appreciate personal safety and conformity, from those sharing the extensive need for self-direction and adventure, the suggested model presents a strong background for predicting flows in the post-COVID-19 era.