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The effectiveness of a message and its attributes have become important for digital media. This study aims to investigate how different elements of a website including both argument-oriented and emotional stimuli based on the elaboration likelihood model (ELM) can affect the issue involvement and change the attitude of the website visitors of a healthcare service provider.

The Ministry of Health and Education (MOHME) website was selected to explore how its content and design can persuade visitors. An online survey was conducted on 355 adults engaging in health protection behaviors during the COVID-19 pandemic.

Structural equation modeling (SEM) analysis showed that one design element, i.e. website navigation and one social cue, i.e. social connectedness, have positive impact on issue involvement, while social presence and website satisfaction have a negative effect on issue involvement because of the random fluctuation suppressor effect. In addition, prior knowledge significantly influenced the issue's involvement. Further, website satisfaction has impacted attitudes directly. There was no significant relationship between argument quality and issue involvement.

Previous works have studied health-related behaviors in offline contexts; however, the scholars have not focused on the individuals' persuasion using ELM regarding the healthcare services provided in online communities. The results of the current study have theoretical and practical implications for scholars, website designers and policymakers.

Communication apprehension (CA) is the fear or anxiety about communicating. In addition, self-perceived communication competence (SPCC) refers to the learners' perception of their competence. CA hampers individuals' ability to communicate effectively in various communication contexts, which has an impact on their employability. Confident communicators with effective communication skills are important issues for graduation as well as desirable attributes for recruiting agencies. Given that employers value graduates who can communicate effectively in the workplace without any apprehension, this study was designed to determine the levels of CA and SPCC among final-year non-English major undergraduate students in Saudi Arabia and the extent to which SPCC could affect their CA when speaking in English with implications for their employability as the next generation of workers.

Two survey questionnaires were administered to 70 non-English major undergraduate students in their final year employing probability random sampling to measure their CA level and to assess their SPCC in different English as foreign language (EFL) contexts. Pearson's correlation and linear regression analysis were used to investigate the relationship between CA and SPCC. Data analysis was performed using descriptive statistics in SPSS 21.

The findings indicated a medium level of SPCC and CA. Moreover, the correlation formula revealed that there was a moderately significant association between learners' SPCC and their CA (r (70) = −0.524, p < 0.01). Through regression analysis, it was found that their SPCC could predict 27% of the variance in their CA. The moderate effect of SPCC on CA implied that students could be prepared to cope and perform in the workplace.

Without communication, the establishment and evolution of the human community are unattainable. This aspect is more evident and crucial in the list of graduate objectives and needed outcomes for future career endeavors. The findings encourage instructors and course designers to provide many learning opportunities in pleasurable learning environments to raise students' perceptions of their competence, in turn enhancing their confidence to speak in English and ensuring a smooth transition from academia to the workplace. Based on the findings, several suggestions for future studies in the EFL context are presented.

This study aims to carry out a critical analysis of the methods used to deal with the regulatory impact assessment while proposing an alternative method to overcome some of the drawbacks of the aforementioned methods.

To achieve the objective of this work, the methods currently used in regulatory impact analysis are presented by highlighting their scope and the problems they may pose during their applications. After that, the adjusted variant of radial measure is suggested as an alternative method to the aforementioned methods while showing its relevance with regard to other methods using pertinent criteria. Finally, for concretization, a case study related to the sanctions against Russia after its invasion of Ukraine is presented.

The findings show that regulations related to the sanctions against Russia are good enough, with a score of 0.846. However, this score is less good in several countries like Germany (0.671), Italy (0.677) and France (0.745) and in the poorest countries.

The originality of this work resides in using a novel method in the regulatory impact analysis field, which is adjusted variant of radial measure. This method increases the effectiveness of the regulatory impact assessment.

Following the theory of emotional events, this paper aims to use the bright triad and the dark tetrad as representations to investigate the role of positive and negative personality patterns in achieving positive and negative innovation. The study also examines the mediating role of emotional intelligence and abusive supervision and the interactive role of emotional exhaustion in understanding the relationship between positive and negative personality patterns and positive and negative innovation.

To test the hypotheses of the study model, a set of questionnaires was distributed to a sample of 500 medical officers working in different departments of public hospitals in southern Iraq. The data were analysed using the structured equation model.

The results of the current study confirm previous studies on emotional intelligence because the bright triad negatively associates with negative innovation and positively associates with positive innovation. Meanwhile, the dark tetrad positively associates with negative innovation through abusive supervision, and that emotional exhaustion reinforces the negative side and weakens the positive side of the relationships.

This study contributes to the literature by emphasising that the values represented by the bright triad have a strong readiness to show positive innovation and immunity to negative influence caused by abusive supervision. Meanwhile, the negative emotions of the dark tetrad pattern result in negative patterns because they correlate with negative innovation and the avoidance of positive behaviour, which is escalated by abusive supervision.

This paper elucidates the role of anger in error management (EM) and organizational learning behaviors. The study explores how anger can catalyze learning, emphasizing its strategic implications.

A double-layered moderated-mediated model was developed and tested using data from 744 Chinese CEOs. The psychometric properties of the survey instrument were rigorously examined through structural equation modeling, and hypotheses were tested using Hayes's PROCESS macros.

The findings reveal that anger is a precursor for recognizing the value of significant errors, leading to a positive association with learning behavior among top management team members. Additionally, the study uncovers a triple interaction effect of anger, EM culture and supply chain disruptions on the value of learning from errors. Extensive experience and positive grieving strengthen the relationship between recognizing value from errors and learning behavior.

This study uniquely integrates affect-cognitive theory and organizational learning theory, examining anger in EM and learning. The authors provide empirical evidence that anger can drive error value recognition and learning. The authors incorporate a more fine-grained approach to leadership when including executive anger as a trigger to learning behavior. Factors like experience and positive grieving are explored, deepening the understanding of emotions in learning. The authors consider both negative and positive emotions to contribute to the complexity of organizational learning.

At the beginning of the 21st century, multiple and diverse social entities, including the public (consumers), private and nonprofit healthcare institutions, government (public health) and other industry sectors, began to recognize the limitations of the current fragmented healthcare system paradigm. Primary stakeholders, including employers, insurance companies, and healthcare professional organizations, also voiced dissatisfaction with unacceptable health outcomes and rising costs. Grand challenges and wicked problems threatened the viability of the health sector. American health systems responded with innovations and advances in healthcare delivery frameworks that encouraged shifts from intra- and inter-sector arrangements to multi-sector, lasting relationships that emphasized patient centrality along with long-term commitments to sustainability and accountability. This pathway, leading to a population health approach, also generated the need for transformative business models. The coproduction of health framework, with its emphasis on cross-sector alignments, nontraditional partner relationships, sustainable missions, and accountability capable of yielding return on investments, has emerged as a unique strategy for facing disruptive threats and challenges from nonhealth sector corporations. This chapter presents a coproduction of health framework, goals and criteria, examples of boundary spanning network alliance models, and operational (integrator, convener, aggregator) strategies. A comparison of important organizational science theories, including institutional theory, network/network analysis theory, and resource dependency theory, provides suggestions for future research directions necessary to validate the utility of the coproduction of health framework as a precursor for paradigm change.

A Digital Twin (DT) is a digital replica of an artefact which is updated on real-time or semi–real-time basis. In 2017, Gartner listed DT as one of the top 10 emerging technologies of the year. Since then, there have been numerous attempts to develop architecture and reference models for DTs, and in some studies, DT construction for real-world case studies is reported. This chapter attempts to provide a contextualised background on DT for smart cities. It also discusses various stakeholders involved in devising and/or employing DTs in a smart city. The chapter concludes with a set of recommendations for the training requirements of final DT users.

Miscarriage is the most common adverse pregnancy outcome, with an estimated one in four pregnancies ending in loss. Despite its prevalence, and significant effects, early pregnancy loss is commonly unacknowledged by organizations, and the intersect of miscarriage experiences while navigating work remains sparsely researched. Available literature, and preliminary research from my Ph.D., reveal stark findings, notably that women commonly conceal miscarriage at work, and when they do disclose, they often experience inconsistent support, or none at all. Minimization, and even discriminatory practice, are commonly witnessed (including inappropriate absence reporting, formal warnings, jeopardization of promotional opportunities, and redundancy). Effective support is often due to empathetic line managers, who sometimes have first-hand experience. Partners are commonly assigned to the “supporter role”, resulting in insufficient leave and support. The absence of formal initiatives, including policy and training, exacerbate the issue. Workplaces that fail to address miscarriage likely face reduced engagement and productivity, and increased absenteeism, presenteeism, and staff turnover. Key recommendations are presented, emphasizing the need for organizations to (i) implement a pregnancy loss policy; (ii) train managers, HR, and colleagues; (iii) provide specialist support; and (iv) tackle pro-natal cultures. Avenues for future research are explored, notably the need to adopt an intersectional lens, and to obtain management/HR and partner perspectives.

This chapter discussed the implementation of the digital twin (DT) idea into construction. Through the adoption of DTs into construction practices, construction professionals have been able to project an identical virtual concept of sections of the project execution right from the onset. In the introduction and discussing of its origin, the DT was further assessed about its applications in construction beneficial in enhancing project delivery. Other sections like barriers, drivers and benefits of the DT in construction summarised what this chapter represents in terms of discussing the new involvement of digital tools in construction execution, management and sustainability.