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Focusing on the important representative of firm intellectual capital (IC), this research explores the effects of chief executive officer’s (CEOs') managerial human capitals on sustaining superior performance in Chinese transition economy to prove the dynamic and strategic value of IC and fulfill the gap of lacking emerging market studies in this research field.

Based on dynamic managerial capability theoretical framework, the authors propose a dynamic management path to analyze the influencing mechanism of CEOs' managerial human capitals to firm performance persistence and the moderating effect of environment uncertainty. Using a panel data of Chinese publicly listed firms from 2008 to 2017, it adopts dynamic first-order autoregressive models to examine these hypotheses. Several tests are conducted to further analyze and ensure that the results are robust and reliable.

These managerial human capitals reveal heterogenous impacts on sustaining superior performance, and environment uncertainty is a valid moderating variable to further distinguish their dynamic values. The supplementary analyses show the integrating effect of an MBA degree and output functional experience is positive and significant, and the results in Chinese state-owned and private firm subsamples are distinct.

It is beneficial for corporate stakeholders to judge and select CEOs and for policymakers to improve the efficiency advantage of IC in Chinese emerging market.

This study first explores the relationship between CEOs' managerial human capitals and superior performance persistence. Through introducing a dynamic perspective, it has extended existing performance persistence research into individual level and provided a new intellectual source of sustainable competitive advantages.

The purpose of this paper is to explore the use of virtual reality environments (VRE) for maintenance activities by augmenting a virtual facility representation and integrating relevant information regarding the status of systems and the space itself, while providing simple ways to control them.

The research focuses in the implementation of a VRE prototype of a building management system using game engine technologies. To evaluate the prototype, a usability study has been conducted that contrasts the virtual reality interface with a corresponding legacy application showing the users perception in terms of productivity improvement of facilities management (FM) tasks.

The usability tests conducted indicated that VREs have the potential to increase the productivity in maintenance tasks. Users without training demonstrated a high degree of engagement and performance operating a VRE interface, when compared with that of a legacy application. The potential drop in user time and increase in engagement with a VRE will eventually translate into lower cost and to an increase in quality.

To date no commonly accepted data model has been proposed to serve as the integrated data model to support facility operation. Although BIM models have gained increased acceptance in architecture engineering and construction activities they are not fully adequate to support data exchange in the post-handover (operation) phase. The presented research developed and tested a prototype able to handle and integrate data in a flexible and dynamic way, which is essential in management activities underlying FM.

Financial transactions fraud (FTF) and financial statements fraud (FSF) grew exponentially during the past decades coupled with complex and sophisticated technological developments. This study aims to investigate the practitioners’ interpretation of fraud with recurring audit issues in the disclaimer audit opinions (DAOs) reports within the Solomon Islands public sector (SIPS).

The empirical study involves qualitative data analysis. The analysis alongside theoretical developments is informed by the “fraud triangle” theory.

The research results revealed the practitioners’ acknowledgement of FSF, FTF and fraud in the SIPS, as generally prevalent and aligned to some components of the fraud triangle theory. This study is sceptic about the good intentions of the International Public-Sector Accounting Standards –Cash-basis framework and favours the Provincial Government Act 1997 and the Public Finance Management Act 2013 requirements. It further suggests that fraud is positively linked to repeated audited report issues and the executive management when DAOs issues appear repeatedly in annual audit reports.

This study contributes to the literature on fraud and attempts to link the interpretation of fraud with recurring audit issues in the DAOs reports in the SIPS. It views fraud awareness and knowledge from the perspective of the audit practitioner. There is an increasing need to understand how fraud knowledge impacts decision making and the actions of auditors and others, an area that is underdeveloped.

This paper aims to explore the problem of power imbalance within decentralized autonomous organizations (DAOs) and propose potential solutions that could contribute to enhancing the democratic nature of DAOs.

In this paper, the authors apply a qualitative methodology. Using a thematic coding analysis, the authors process data collected from interviews with 11 experts.

Multiple factors contribute to the perceived lack of democracy within DAOs, such as token concentration and effective stakeholder communication. Next, quadratic voting has the potential to enhance democracy within DAOs, but this mechanism must be implemented mindfully. Finally, the results were nuanced when it comes to the effectiveness of liquid democracy in DAOs to enhance voter participation and representation.

To the best of the authors’ knowledge, this paper is one of the first research contributions to propose recommendations to address the power imbalance within DAOs and to contribute to the advancement of decentralized decision-making structures.

This paper aims to clarify the resistance degree of group road logistics to flood disaster resilience. The paper measures the resilience of group road logistics by establishing network structure model. The purpose of this study is to improve the resilience of road log.

This paper adopts Delphi method to collect data, interviews mainly flood management experts and supply chain risk management experts, and then analyzes the data through the network structure model combined with interpretative structure model (ISM) and analytical network process (ANP).

The results show that flood frequency and drainage systems are the main factors affecting the resilience of road transport logistics in urban areas. These research results provide useful guidance for the effective planning and design of urban road construction and infrastructure.

However, the main factors affecting the resilience of road transport logistics are likely to change with the development of factors such as climate, economy and environment. Therefore, in future work, the authors' research will focus on the further application of this evaluation method.

The results show that the impact of flooding on the four dimensions of road logistics resilience varies. This shows that in deciding what intervention measures are to be taken to improve the resilience of the road network to flooding, various measures need to be considered.

This paper provides a more scientific analysis of the risk management ability of the road network in the face of floods. In addition, it also provides a useful reference for urban road planners.

This paper addresses a clear need to study how to build models to improve the resilience of road logistics in flood risk.

The current scenario shows increased adoption of off-chain voting applications in decentralized autonomous organizations (DAOs) to avoid complexity and costs for user engagement in their governance. This paper aims to comprehend the trends and patterns within the DAO community with off-chain voting systems and blockchain usage.

This exploratory study uses a two-pronged quantitative approach, combining descriptive statistical analysis and fuzzy-set qualitative comparative analysis. Input data from different DAO proposals and votes were analyzed.

Results indicate that the 179 DAOs analyzed account for 26,538 proposals and 1,268,474 followers of the entire Snapshot base in January 2023, showing high concentration in engagement. The preferred social media communication channels are Twitter and GitHub, showing a decrease of Ethereum as a main chain, with Polygon and Binance Smart Chain already accounting for 22%. Basic voting can lead to greater user involvement in the voting process.

This study complements the traditional governance theory perspective and advances in the emerging literature on DAOs and blockchain with an empirical analysis.

As blockchain technology gains increasing adoption, comprehending trends and patterns within the DAO community becomes pivotal in identifying opportunities and challenges for innovation and improvement.

Findings can facilitate the development of improved governance models and decision-making processes for DAOs, leading to a more robust and sustainable ecosystem.

This study presents a broader IT-based governance foresight via blockchain while providing an understanding of the voting process, technology features and governance mechanisms for social community engagement and decision-making in DAOs.

Among world’s economies, the circular economy (CE) has become popular especially in the European Union and China, which opens several opportunities for sustainability leaders to gain a first-mover advantage and, consequently, to pursue organizational sustainability and growth. In spite of public policy support, since CE often requires entrepreneurial innovation among complex networks of companies, most companies are still learning how to manage knowledge dynamics at the inter-organization level. The chapter starts by defining the key characteristics of CE and identifying the peculiarities in terms of inter-firm cooperative and competitive relations, which help in delineating contributions from the green supply chain literature. The second section shows – through the discussion of term maps – how multiple- and inter-disciplinary streams of research are increasingly linked by hard (i.e., information communication technologies based) and soft (i.e., relational and organizational) aspects of knowledge management. The third section provides a discussion on key hard and soft factors that characterize four knowledge dynamics, i.e., knowledge creation, knowledge storage, knowledge transfer, and knowledge sharing that can improve the adoption and integration of circular processes within inter-organizational coopetitive strategies. Particular attention is here given to the cross-analysis of outcomes from theoretical papers, case studies, and quantitative empirical researches that contribute to shaping relations between internal and external factors that might play as predictors of a successful implementation of CE principles. Finally, the last section concludes with recommendations for improving organizational and managerial capabilities to manage inter-firm knowledge dynamics while pursuing CE objectives in international business environments. Beside this guidance for practitioners, directions for further research are suggested for each pillar of the emerging conceptual model.

The purpose of this paper is to elucidate how the advice-giving affects innovative capability by involving knowledge exchange and combination as a mediator and contextual ambidexterity as an important contingency.

Based on a survey of 96 Chinese teams, a set of hypotheses was tested using regression analyzes.

The findings showed that contextual ambidexterity moderates the indirect effect of advice-giving on innovative capability through knowledge exchange and combination. When contextual ambidexterity is high, workers engage in more knowledge exchange and combination for the team at intermediate levels of advice-giving, the indirect effect of advice-giving at low levels and at high levels exist. When contextual ambidexterity is low, there is no indirect effect of advice-giving at any level.

Managers should be aware of the inverted U-shaped relationship between advice-giving and innovative capability and strengthen the construction of contextual ambidexterity.

This paper makes up for the theoretical gap between advice-giving and innovative capability. Furthermore, it provides a theoretical reference for practitioners to improve their innovative capability.

Compliant mechanism has been receiving a great interest in precision engineering. However, analytical methods involving their behavior analysis is still a challenge because there are unclear kinematic behaviors. Especially, design optimization for compliant mechanisms becomes an important task when the problem is more and more complex. Therefore, the purpose of this study is to design a new hybrid computational method. The hybridized method is an integration of statistics, numerical method, computational intelligence and optimization.

A tensural bistable compliant mechanism is used to clarify the efficiency of the developed method. A pseudo model of the mechanism is designed and simulations are planned to retrieve the data sets. Main contributions of design variables are analyzed by analysis of variance to initialize several new populations. Next, objective functions are transformed into the desirability, which are inputs of the fuzzy inference system (FIS). The FIS modeling is aimed to initialize a single-combined objective function (SCOF). Subsequently, adaptive neuro-fuzzy inference system is developed to modeling a relation of the main geometrical parameters and the SCOF. Finally, the SCOF is maximized by lightning attachment procedure optimization algorithm to yield a global optimality.

The results prove that the present method is better than a combination of fuzzy logic and Taguchi. The present method is also superior to other algorithms by conducting non-parameter tests. The proposed computational method is a usefully systematic method that can be applied to compliant mechanisms with complex structures and multiple-constrained optimization problems.

The novelty of this work is to make a new approach by combining statistical techniques, numerical method, computational intelligence and metaheuristic algorithm. The feasibility of the method is capable of solving a multi-objective optimization problem for compliant mechanisms with nonlinear complexity.

This paper aims to investigate the effects of informativeness, entertainment and credibility of social media on the perceived value of advertising for Muslim millennial parents. It evaluates the impact of these variables on brand awareness and purchase intention.

This study uses a mixed-method analysis with two stages. In the first stage, information from social media was collected. The second stage involved an online survey of 210 Muslim millennial parents. Structural equation modeling-partial least squares was used to test the study’s prediction.

The results showed that informativeness, entertainment and credibility of the message significantly influence Muslim millennial parents’ perceived value of social media advertising. These aspects also have a significant effect on brand awareness and purchase intention. The parents appreciate entertainment most, followed by the informativeness and credibility of the message.

This study offers new insights on Muslim millennial parents as a new segment in the market. Social media advertising is the most appropriate strategy for approaching this segment, and therefore, should be given much attention by marketers. The message created needs to be informative, entertaining and credible. It should consider culture, Islamic values and tradition.

The study contributes to the evaluation of a new trend for Muslim millennials as young parents. The tendency to spend more time using social media as the primary source of information is evaluated. Additionally, this study gives marketers a better understanding of Muslim millennial parents, especially in a collective society.