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The set of 2,509 documents related to the human-centric aspect of manufacturing were retrieved from Scopus database and systmatically analyzed. Using an unsupervised machine learning approach based on Latent Dirichlet Allocation we were able to identify latent topics related to human-centric aspect of Industry 5.0.

This study aims to create a scientific map of the human-centric aspect of manufacturing and thus provide a systematic framework for further research development of Industry 5.0.

In this study a 140 unique research topics were identified, 19 of which had sufficient research impact and research interest so that we could mark them as the most significant. In addition to the most significant topics, this study contains a detailed analysis of their development and points out their connections.

Industry 5.0 has three pillars – human-centric, sustainable, and resilient. The sustainable and resilient aspect of manufacturing has been the subject of many studies in the past. The human-centric aspect of such a systematic description and deep analysis of latent topics is currently just passing through.

This paper investigates the application of the product differentiation and shared efficiency approaches to understand the impact of the auditor industry specialisation (IS) on audit fees in relation to Fair Value Disclosures (FVD).

The study uses 1,470 firm-year observations for the period 2005–2018 and is focused on Jordanian financial firms. Two competing theoretical approaches of IS proxied by audit fee-based measures were employed: firstly, the product differentiation approach measured using Market Share-based (MS) measure and secondly, the shared efficiency approach measured using Portfolio Share-based (PS) measure. The paper employs the Ordinary Least Squares regression to test the association between the proportion of fair-valued assets (using fair value hierarchy inputs) and audit fees.

The results suggest that the association between the proportion of fair-valued assets and audit fees is strengthened (weakened) when the client hires specialist auditors identified by MS (PS). This association varied across the fair value inputs. Level 1 assets were found to be only moderated by both scenarios positively (negatively) for MS (PS) experts. The results are robust after controlling the endogeneity of auditor self-selection.

The results provide valuable insights for policymakers into challenges of auditing FVD. These insights present a valuable input for the development of FVD policies and practices as well as providing guidance for updating auditor prices. Additionally, the results provide a foundation for policymakers and regulators to introduce and update fair value auditing practices. The current findings are generalisable to other countries, including the Middle East and North Africa, and are particularly beneficial for those countries which have adopted the fair value model.

This study contributes to the theory by demonstrating the impact of the auditor industry expertise on post-implementation costs of FVD. The novelty of the study lies in introducing principle-based standards requirements of FVD to test the relationship. This approach is based on the IFRS disclosure requirements using data from the Jordanian financial sector to examine this relationship.

Discusses the classification of information sources, by format, status and location. Proposes a typology which plots the formal/informal dimension against the personal/impersonal. The resulting matrix provides a framework for conceptualizing the totality of the complex network of sources available to the information seeker in business. Presents and discusses examples of sources from each quadrant of the matrix. Concludes with a brief introduction to newer modes of information access, with particular reference to the Internet. Forms an introduction to the more detailed consideration of formal sources in later articles of this issue.

This paper aims to study through a comprehensive set of socioeconomic indicators the regional level of well-being achieved in Romania, and monitor the improvements and disparities in well-being after a decade of accession to the European Union.

A dashboard of 20 socioeconomic indicators for measuring nine dimensions of well-being for Romanian counties is proposed. Using the Adjusted Mazziotta-Pareto method are built composite indicators, which allow us to assess the trend of overall welfare scores for each county. The data are collected at the county level, for 42 counties, and each year from 2006 to 2017, from administrative sources.

The overall well-being index has an increasing trend for all counties, but the growth rate varies from one county to another. The economic factors, geographic location and share of the urban population matter. For most counties, the evolution of well-being scores is below that recorded at the country level. Romania has registered significant improvements in health, housing, income and access to public utilities dimensions. The counties are ranked by level of well-being. Some empirical measures suggest a slight tendency of socioeconomic disparities to increase over time.

The paper attempts to fill some gaps in measuring the level and disparities of welfare in a fast-growing emerging economy. The Romanian regional context is to a lesser extent explored in a multidimensional approach, from spatial and temporal points of view.

Families play an instrumental role in helping relatives experiencing mental health issues to stay well. In the context of wider initiatives promoting family and carer needs, this study aims to evaluate the feasibility, acceptability and potential benefits of bespoke training to develop clinicians’ skills in working with families in crisis.

The study was an uncontrolled evaluation of a one-day workshop for home treatment team staff using pre- and post-questionnaires.

In total, 83 staff members participated. Overall, there was a strong agreement for the involvement of families, which increased marginally after training. There were significant changes in views about talking to family members without service user consent (p = 0.001) and keeping them informed of their relative’s well-being (p = 0.02). Qualitative feedback indicated that participants enjoyed the interactive elements, particularly role-playing. Training provided an opportunity to practice skills, share knowledge and facilitate the integration of family work into their professional role.

Confident support for families contributes to effective mediation of crisis and continuation of care; factors important in reducing admission rates and protecting interpersonal relationships. Overall, the consistency of responses obtained from participants suggests that this workshop offers a helpful introduction to a family approach at times of a mental health crisis.

This pilot evaluation suggests this new one-day workshop, is a feasible and acceptable training program, which is beneficial in developing clinicians’ skills in working with families in a crisis.

Putting this volume together of this type took a team effort from many individuals who have given of their time and talent. I would really like to express my thanks to all who reviewed chapters for this volume: Mary Lu Love Early Childhood Services at ICI; Nancy Crowell, Georgetown University; Xuejin (Kim) Lu, Children's Services Council of Palm Beach County, FL; Jianping Shen, Western Michigan University; Xin Ma, University of Kentucky; Maria Magdalena Aguilar-Crandall, Brownsville Independent School District; Stuart Reifel, University of Texas at Austin; Deborah Wisneski, University of Wisconsin Milwaukee; Amye Warren, The University of Tennessee at Chattanooga; Sarah Jo Sandefur, University of Tennessee at Chattanooga; and Shira Peterson, Children's Institute. My colleagues here at the University of Texas Brownsville, Renee Rubin, Vejoya Viren, Jaime Garcia, and Ana Laura Rodriguez-Garcia were also of great assistance in reviewing articles.

The purpose of this work is to present the implementation of weighted essentially non-oscillatory (WENO) wavelet methods for solving multiphase flow problems. The particular interest is gas–liquid two-phase mixture with velocity non-equilibrium. Numerical simulations are carried out on different scenarios of one-dimensional Riemann problems for gas–liquid flows. Results are validated and qualitatively compared with solutions provided by other standard numerical methods.

This paper extends the framework of WENO wavelet adaptive method to a fully hyperbolic two-phase flow model in a conservative form. The grid adaptivity in each time step is provided by the application of a thresholded interpolating wavelet transform. This facilitates the construction of a small yet effective sparse point representation of the solution. The method of Lax–Friedrich flux splitting is used to resolve the spatial operator in which the flux derivatives are approximated by the WENO scheme.

Hyperbolic models of two-phase flow in conservative form are efficiently solved, as shocks and rarefaction waves are precisely captured by the chosen methodology. Substantial computational gains are obtained through the grid reduction feature while maintaining the quality of the solutions. The results indicate that WENO wavelet methods are robust and sufficient to accurately simulate gas–liquid mixtures.

Resolution of two-phase flows is rarely studied using WENO wavelet methods. It is the first time such a study on the relative velocity is reported in two-phase flows using such methods.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

The purpose of this research is to identify and clarify the important variables in knowledge management capabilities that affect product/service innovation in entrepreneurial companies in Jordan.

A five-point Likert scale questionnaire was designed for measuring knowledge-based (infrastructural and dynamic) capabilities and product/service innovation in entrepreneurial companies in Jordan that specialized in information and communication technology. A questionnaire was distributed to 297 individuals in 40 companies, and only 202 questionnaires were completely filled and returned by the entrepreneurs at King Hussein Business Park and Al Hassan Business Park. Structural equation modeling was applied to statistically test the research hypotheses.

The research findings showed that knowledge-based infrastructural capabilities are a prerequisite for knowledge-based dynamic capabilities. On the other hand, knowledge combination capabilities have a statistically significant mediating effect between knowledge based infrastructural capabilities and product/service innovation.

This research contributes to the literature by studying and investigating the key variables in knowledge management that affect product/service innovation and by providing a comprehensive understanding of the knowledge management capabilities and innovation in entrepreneurial companies. This research provides academicians with a framework for better understanding of the different factors of knowledge management capabilities and how they affect product/service innovation.

This paper aims to analyse the use of level of debt as an external control mechanism against an entrenchment strategy based on corporate social responsibility (CSR) practices.

The authors use a database of 1,916 international companies for the years 2002 to 2010.

The evidence obtained confirms in a context of asymmetric information, bounded rationality and divergent interests, the use of debt as a control mechanism of managers’ discretionary comportment. In other words, CSR practices can be used by managers as an entrenchment strategy and self-defence with the aim of decreasing the possibility of being identified by those shareholders and stakeholders whose interests have been damaged. In this context, the market demands higher debt levels to solve agency frictions, playing an active role in monitoring the management. Moreover, the demand of higher debt as a control mechanism that minimises the expropriation risk by managers through CSR is lower in contexts of greater investor protection.

The findings reveal that CSR engagement can be explained by the hypothesis of being a strategy of entrenchment and self-defence. Overall, this study differs from previous literature in this field by taking an alternative approach to CSR practices, in contrast to the conventional wisdom of the benefits of CSR practices. The authors contribute by empirically testing the theoretical model proposed by Cespa and Cestone (2007) who suggest the discretionary use of CSR from an agency perspective. They also give empirical relief showing the use of CSR as an entrenchment strategy. Moreover, they demonstrate that the capital market of debt decreases in a context with a greater degree of investor protection, likewise under CSR promoted as an entrenchment tool, the demand for debt as a disciplinary mechanism is less necessary to control managers. In addition, the study is enriched by the database analysis.