Search results

Adolescent mental health is a global concern. There is an urgent need for creative, multimedia interventions reflecting adolescent culture to promote mental health literacy and well-being. This study aims to assess the impact of a film-based intervention on adolescent mental health literacy, well-being and resilience.

A pretest-posttest intervention with a multi-methods evaluation was used. A convenience sample of ten schools facilitated students aged 15–17 years to engage in an online intervention (film, post-film discussion, well-being Webinar). Participants completed surveys on well-being, resilience, stigma, mental health knowledge and help-seeking. Five teachers who facilitated the intervention participated in post-implementation interviews or provided a written submission. Analysis included paired-t-test and effect size calculation and thematic analysis.

Matched pretest-posttest data were available on 101 participants. There were significant increases in well-being, personal resilience and help-seeking attitudes for personal/emotional problems, and suicidal ideation. Participants’ free-text comments suggested the intervention was well-received, encouraging them to speak more openly about mental health. Teachers similarly endorsed the intervention, especially the focus on resilience.

Intinn shows promise in improving adolescents’ mental health literacy and well-being. Film-based interventions may encourage adolescents to seek professional help for their mental health, thus facilitating early intervention.

This paper aims to provide researchers and practitioners with a consumer-focused alternative for considering the integration of artificial intelligence (AI) into services.

The paper reviews and critiques the most popular frameworks for addressing AI in service. It offers an alternative approach, one grounded in social psychology and leveraging influential concepts from management and human–computer interaction.

The frameworks that dominate discourse on this topic (e.g. Huang and Rust, 2018) are fixated on assessing technology-determined feasibility rather than consumer-granted permissibility (CGP). Proposed is an alternative framework consisting of three barriers to CGP (experiential, motivational and definitional) and three responses (communicate, motivate and recreate).

The implication of this research is that consistent with most modern marketing thought, researchers and practitioners should approach service design from the perspective of customer experience, and that the exercise of classifying service occupation tasks in terms of questionably conceived AI intelligences should be avoided.

Indicative of originality, this paper offers an approach to considering AI in services that is nearly the polar opposite of that widely advocated by e.g., Huang et al., (2019); Huang and Rust (2018, 2021a, 2021b, 2022b). Indicative of value is that their highly cited paradigm is optimized for predicting the rate at which AI will take over service tasks/occupations, a niche topic compared to the mainstream challenge of integrating AI into service offerings.

Circular supply chain management (CSCM) is considered a promising solution to attain sustainability in the current industrial system. Despite the exigency of this approach, its application in the food industry is a challenge because of the nature of the industry and CSCM being a novel approach. The purpose of this study is to develop an industry-based systematic analysis of CSCM by examining the challenges for its application, exploring the effects of recognised challenges on various food supply chain (FSC) stages and investigating the business processes as drivers.

Stakeholder theory guided the need to consider stakeholders’ views in this research and key stakeholders directly from the food circular supply chain were identified and interviewed (n = 36) following qualitative methods.

Overall, the study reveals that knowledge, perception towards environmental initiatives and economic viability are the major barriers to circular supply chain transition in the UK FSC.

This research provides a holistic perspective analysing the loopholes in different stages of the supply chain and investigating the way a particular circular supply chain stage is affected by recognised challenges through stakeholder theory, which will be a contribution to designing management-level strategies. Reconceptualising this practice would be beneficial in bringing three-tier (economic, environmental and social) benefits and will be supportive to engage stakeholders in the sustainability agenda.

European rural development programmes are driving multi-actor interactive innovation initiatives and alliances to create an environment in which innovation acts as a tool for accelerating rural development processes. In Europe, where rural areas are facing many challenges, identifying which challenges, difficulties, obstacles or risk factors that interactive innovation projects have had to face in rural areas while being planned and set up would be interesting. The objective of this research work was to, therefore, identify and analyse the risk factors of 200 rural projects and initiatives that were selected as case studies from the whole of Europe.

The employed methodology consisted in conducting interviews to subsequently perform statistical independence analyses of the qualitative variables characterising the found projects and risk factors.

The findings indicated that most of the risks that rural projects and initiatives faced were related to the social domain which was, in turn, the fundamental pillar of interactive innovation. Dependence was found between social risk factors appearing and the innovation type carried out; the risk factors corresponding to the political–legal risks category and the project or initiative coordinating country; and the economic–technical risks category and the initiatives' geographic magnitude.

This paper exposes the main risks identified within various rural innovation initiatives and projects around Europe. For this purpose, a statistical analysis of independence was performed, allowing us to generate reliable and accurate results of the main risks associated with certain descriptive characteristics (coordinating region, domain, innovation type, gender balance and geographic magnitude) of the initiatives studied.

Even as governments worldwide take extraordinary measures and spend unprecedented amounts of their state budgets to combat COVID-19, tax compliance remains challenging. Therefore, this study employs previously identified predictors to investigate the factors that persuade individual taxpayers to comply with the law.

Individual taxpayers in Indonesia (N = 699) who had experienced COVID-19-related benefits were asked to assess the provided evaluation regarding the tax compliance intention and its determinants. The bootstrapping analysis was employed using smart partial least squares (SmartPLS) to test the hypotheses.

The results suggest that the perceived fiscal exchange, tax morality, tax fairness, tax complexity and the power of authority are significant determinants of tax compliance intention. This study also supports the indirect effects of numerous factors on tax compliance intention through the perceived fiscal exchange and tax morality. In practice, reminding taxpayers of how tax payments fund public services, improving taxpayer morale, increasing the perceived fairness of the tax system, streamlining the tax code and managing the effectiveness of tax administration could all lead to a greater intention to comply with the law.

In addition to highlighting the dynamics of tax compliance amid the unprecedented pandemic crisis, our findings also provide insight into the importance of perceived fiscal exchange and tax morality for achieving and sustaining planned behavior to comply with tax rules.

This study explores the effect of internal branding on organisational financial performance and brand loyalty with the mediating role of psychological empowerment.

The data gathered from 200 Pasargad insurance employees in Iran were analysed. Structural equation modelling and R were used to evaluate the model. Financial performance was measured by four concepts (ROI, ROE, Sales growth, ROA) based on available data from March 2010 to March 2020.

The results revealed that internal branding and psychological empowerment have no significant effect on financial performance, but both have a significant positive effect on brand loyalty. Likewise, the mediating role of psychological empowerment on the subject of the impact of internal branding on brand loyalty was confirmed. Furthermore, psychological empowerment did not play a mediating role in the impact of internal branding on financial performance.

The findings of this study could be important for managers of organisations active in the insurance industry to highlight internal branding and enhance psychological empowerment and employee brand loyalty. Moreover, managers' perception of the effective role of psychological empowerment to enhance employee brand loyalty is another practical aspect of this research.

Considering the mediating role of psychological empowerment to the effect of internal branding on financial performance and brand loyalty is an innovative aspect of the present study. Meanwhile, the use of R software for VB-SEM was another point to surge the value of this paper.

This content analysis examines the historical representation of Margaret Sanger within trade books. From the framework of the historiography, this paper unpacks how common curricular resources depict an American icon with a complicated past.

In this paper, the author conducted a content analysis of biographies and expository compilations featuring Sanger. The entire data pool were sampled and analyzed.

The trade books, particularly the biographies, historically represented Sanger in most categories. Sanger's international direct action and eugenics were two misrepresented areas. Expository compilations, with more limited space than biographies, contained more omissions and minimized or vague depictions of key areas. Findings did not appear dependent upon date of publication.

This study explores an icon of America's free speech battles and birth control rights at a time when culture wars are shaping current events. No researchers have previously explored Sanger's historical representation within trade books.

This study aims to investigate the degree to which trust influences job satisfaction and job performance by building on research in the organizational sciences about the relationships between interpersonal trust relationships, cognitive empowerment, job performance and job satisfaction. This study's primary research question is: What factors contribute to job satisfaction and job performance?

Data are collected through a field survey. The data set has 738 responses from employees who work in the financial sector in Turkey. Structural equation modelling was used to validate the hypotheses.

This study's main findings are that when considering job satisfaction and job performance, cognition-based trust (CBT) has a strong influence on both constructs, whereas affect-based faith has a medium effect on job satisfaction and no significant effect on job performance.

In an organization where trust is established, knowledge exchange will be facilitated and knowledge management will be done correctly. Therefore, trust is a critical factor for knowledge management. On the other hand, knowledge is an important key factor for job performance. Trust has two parts: affect-based trust and CBT. Psychological empowerment has four variables: impact, competence, meaningfulness and self-determination. This study aims to investigate the relationships between psychological empowerment, trust, job satisfaction and job performance.

This study aims to bring awareness to the developing of fault detection systems using the data collected from sensor devices/physical devices of various systems for predictive maintenance. Opportunities and challenges in developing anomaly detection algorithms for predictive maintenance and unexplored areas in this context are also discussed.

For conducting a systematic review on the state-of-the-art algorithms in fault detection for predictive maintenance, review papers from the years 2017–2021 available in the Scopus database were selected. A total of 93 papers were chosen. They are classified under electrical and electronics, civil and constructions, automobile, production and mechanical. In addition to this, the paper provides a detailed discussion of various fault-detection algorithms that can be categorised under supervised, semi-supervised, unsupervised learning and traditional statistical method along with an analysis of various forms of anomalies prevalent across different sectors of industry.

Based on the literature reviewed, seven propositions with a focus on the following areas are presented: need for a uniform framework while scaling the number of sensors; the need for identification of erroneous parameters; why there is a need for new algorithms based on unsupervised and semi-supervised learning; the importance of ensemble learning and data fusion algorithms; the necessity of automatic fault diagnostic systems; concerns about multiple fault detection; and cost-effective fault detection. These propositions shed light on the unsolved issues of predictive maintenance using fault detection algorithms. A novel architecture based on the methodologies and propositions gives more clarity for the reader to further explore in this area.

Papers for this study were selected from the Scopus database for predictive maintenance in the field of fault detection. Review papers published in this area deal only with methods used to detect anomalies, whereas this paper attempts to establish a link between different industrial domains and the methods used in each industry that uses fault detection for predictive maintenance.