Search results

The detrimental effects of increased workloads and high-stakes accountability that impact on teachers’ job satisfaction and wellbeing have been well documented in the international literature (Holloway et al., 2017; Perryman et al., 2011). This chapter will explore the factors which influence staff mental health and wellbeing in schools. The authors unpack issues of burnout, job satisfaction and teacher attrition. The authors consider the concept of teacher resilience by situating resilience within a socio-ecological framework. Specifically, the authors draw on Greenfield’s (2015) model of teacher resilience. The authors draw on our own research to explore the relationship between staff wellbeing and student wellbeing (Glazzard & Rose, 2020). In addition, the authors consider the specific issues related to the wellbeing of school leaders.

To achieve the Sustainable Development Goals (SDGs) in the era of Logistics 4.0, machine learning (ML) techniques and simulations have emerged as highly optimized tools. This study examines the operational dynamics of a supply chain (SC) in Vietnam as a case study utilizing an ML simulation approach.

A robust fuel consumption estimation model is constructed by leveraging multiple linear regression (MLR) and artificial neural network (ANN). Subsequently, the proposed model is seamlessly integrated into a cutting-edge SC simulation framework.

This paper provides valuable insights and actionable recommendations, empowering SC practitioners to optimize operational efficiencies and fostering an avenue for further scholarly investigations and advancements in this field.

This study introduces a novel approach assessing sustainable SC performance by utilizing both traditional regression and ML models to estimate transportation costs, which are then inputted into the discrete event simulation (DES) model.

CPTED’s premise to the improvement of quality of life (QOL) is crime prevention and safety, and yet there is little concern for the impact of CPTED implementation to QOL when the crime increases after the interventions.

This study systematically analyzed articles both quantitatively and qualitatively.

This study found that the CPTED–QOL relationship discussion was highly inadequate in research. Improvement of QOL has been elevated to an unquestionable and certain truth of CPTED and yet the evidence on this is highly inconclusive.

This study is a contribution to the CPTED–QOL discussion that has been lacking.

This study discusses the sources of value co-creation and its effects on businesses using social platforms such as Facebook, Instagram, Twitter and blogs.

A total of 301 survey responses were selected. The selected respondents indicated that they lived in South Korea, had an occupation as a private business or marketer and had used a social platform one or more times a day. The hypotheses were tested using a structural equation model.

The study reveals that the source of sustainable value co-creation between social platforms and businesses positively affects the competitive advantage of maintaining businesses. This advantage reveals an integrated relationship that leads to the successful financial performance of businesses through online word of mouth and customer satisfaction. Moreover, this study finds that the relationship between variables differs by social platform types (unidirectional vs bidirectional service).

The results of this study explain the relationship between value co-production, value-in-use, SCA and long-term performance. However, this study focused on private business and marketing staff working in companies in South Korea. Accordingly, more countries in which social platforms are widely utilized should be taken into account to help generalize the empirical findings.

There is a difference in the relationship between co-creation activity and cost advantage/long-term performance in accordance with the service type of a social platform. The results indicate that a bidirectional service is a more powerful tool for cost advantage and long-term performance.

This study focuses on the role of value co-creation in social platforms to ensure companies’ sustainable competitive advantage and performance. The results of this study will help companies develop online marketing strategies using social platforms.

This study aims to identify and assess the factors challenging the integration of artificial intelligence (AI) technologies in healthcare workplaces.

The study utilized a mixed approach, that starts with a literature review, then developing and testing a questionnaire survey of the factors challenging the integration of AI technologies in healthcare workplaces. In total, 46 factors were identified and classified under 6 groups. These factors were assessed by four different stakeholder categories: facilities managers, medical staff, operational staff and patients/visitors. The evaluations gathered were examined to determine the relative importance index (RII), importance rating (IR) and ranking of each factor.

All 46 factors were assessed as “Very Important” through the overall assessment by the four stakeholder categories. The results indicated that the most important factors, across all groups, are “AI ability to learn from patient data”, “insufficient data privacy measures for patients”, “availability of technical support and maintenance services”, “physicians’ acceptance of AI in healthcare”, “reliability and uptime of AI systems” and “ability to reduce medical errors”.

Determining the importance ratings of the factors can lead to better resource allocation and the development of strategies to facilitate the adoption and implementation of these technologies, thus promoting the development of innovative solutions to improve healthcare practices.

This study contributes to the body of knowledge in the domain of technology adoption and implementation in the medical workplace, through improving stakeholders’ comprehension of the factors challenging the integration of AI technologies.

The study specifically focused on ethical leadership and help seeking during innovation and tested the moderating effect of happiness on the path from help seeking to innovation.

In this longitudinal study, 472 employees from an HR outsourcing company in China participated in the first survey. However, only 184 employees completed two surveys (1 month apart). We used path analysis to test all hypotheses through Mplus.

We found that ethical leadership, through help-seeking, is correlated to innovation. We also found that one’s happiness level is related to innovation, and when employees are chronically happy, the positive effect of help-seeking on innovation is stronger.

Working in an ethical environment, employees are comfortable acknowledging mistakes, hearing feedback and making corrections, which fosters continuous innovation. Conversely, without the influence from ethical leaders, employees may choose to remain silent and abandon continuous innovation due to the concern of losing “face” the context of China.

The aim of this research is twofold: first, to get more insights on digital maturity to face the emerging 4.0 augmented scenario by identifying artificial intelligence (AI) competencies for becoming hybrid employees and leaders; and second, to investigate digital maturity, training and development support and HR satisfaction with the organization as valuable predictors of AI competency enhancement.

A survey was conducted on 123 participants coming from different industries and involved in functions dealing with the ramifications of Industry 4.0 technologies. The sample has included predominately small-to-medium organizations. A quantitative analysis based on both exploratory factor analysis and multiple linear regression was used to test the research hypotheses.

Three main competency clusters emerge as facilitators of AI–human interaction, i.e. leadership, technical and cognitive. The interplay among these clusters gives rise to plastic knowledge, a kind of moldable knowledge possessed by a particular human agent, here called hybrid. Moreover, organizational digital maturity, training and development support and satisfaction with the organization were significant predictors of AI competency enhancement.

The size of the sample, the convenience sampling method and the geographical context of analysis (i.e. California) required prudence in generalizing results.

Hybrids’ plastic knowledge conceptualized and operationalized in the overall quantitative analysis allows them to fill in the knowledge gaps that an AI agent-human interplay may imply, generating alternative solutions and foreseeing possible outcomes.

Performance management systems (PMSs) must remain dynamic and maintain the ability to withstand the high degrees of complexity brought about by digital technologies (DTs). Academics and practitioners have explored DTs and PMSs separately. This study aims to bridge the academic and practitioner discourse surrounding PMSs and DTs to promote knowledge diffusion and collaboration.

The authors adopted a mixed method approach, combining quantitative and qualitative content analysis, which were validated through semi-structured interviews with academics and practitioners. The authors first conducted a content analysis of the academic literature contained in the Scopus database and the practitioners' literature featured in the Nexis Uni database.

The combined academic-practitioners’ body of knowledge underscores the risk and environmental dimension, as well as the theoretical frameworks employed to explore digitally empowered PMSs. These findings were corroborated by 17 confirmatory interviews conducted with scholars and practitioners.

Due to its scope, the research is limited to publications listed on Scopus and Nexis Uni. Additionally, its qualitative and interpretative nature presents some generalizability issues.

This study connects the intentions of scholars and practitioners concerning PMSs and DTs to promote collaborative efforts and knowledge diffusion. Moreover, considering the broader spectrum of insights, this manuscript postulates new avenues of research that address the key issues and concerns of both academics and practitioners. Finally, this article showcases PMs- and DT-appropriate theoretical frameworks that can inform practitioners’ discourse and work.