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The study aims to examine diabetic patients’ switching intentions toward self-monitoring blood glucose devices, incorporating perceived usefulness and perceived ease of use, with switching cost as a moderator.

A self-administered questionnaire was developed using established measuring scales. Data from 321 respondents was collected and analyzed using the partial least squares structural equation modeling approach.

Results indicate that perceived usefulness and perceived ease of use influence switching intention. Switching cost does not moderate the perceived usefulness, perceived ease of use and switching intention. This study reveals important information for healthcare practitioners and device manufacturers.

The significance and originality of this study stem from its pioneering investigation into the switching intentions of diabetic patients regarding self-monitoring glucose devices through the application of the technology acceptance model, thereby addressing a notable gap in the existing literature on diabetes management and technology adoption, which has lacked comprehensive examination of patients’ transition behaviors in this specific context.

The purpose of this research is to examine the potential impact of technologies on enhancing the efficiency and effectiveness of supply chain performance inside healthcare organizations, with a particular focus on cost and quality improvement.

The present investigation employs the survey method to examine the research hypothesis and objective. A total of 630 surveys were collected using an online platform, all of which were deemed to be valid. The gathered data were analyzed using SPSS version 20.0 and Smart-PLS version 3.0 software.

The finding represents a holistic investigation into Industry 4.0 technologies, quality management practices, supply chain performance and organizational performance is essential for the healthcare industry’s evolution. Embracing these elements collectively has the potential to redefine healthcare delivery, improve patient outcomes and drive operational excellence. The results seek to shed light on the broader implications for enhancing patient care, optimizing resources and improving organizational effectiveness within the evolving landscape of Industry 4.0-driven healthcare environments.

Exploration of the incorporation of Industry 4.0 technologies within the healthcare domain has the potential to augment operational efficacy, patient care and data administration. Examination of the repercussions of these technologies on quality management procedures in healthcare environments imparts an understanding of the enhancement of healthcare service quality and patient outcomes.

Implementing Industry 4.0 technologies, which encompass Internet of Things devices and analytics driven by artificial intelligence, within the healthcare sector has the potential to streamline operational procedures, minimize errors and optimize resource distribution. This, in turn, may result in heightened precision of diagnostic procedures, refined treatment strategies and an overall enhancement in the quality of care provided to patients.

There exist certain constraints inherent to this study. In the initial instance, the data were gathered from moderately sizable medical institutions situated within India. As the present investigation was conducted in India, it is possible to examine other countries in order to identify potential disparities in social conditions. Future research should consider, cross-cultural and longitudinal studies of organizational performance.

In the present investigation, the writer presents innovative research that may assist the healthcare industry in identifying the most crucial component of Industry 4.0 technologies for the relevant personnel. There is a notable relationship between the technologies of Industry 4.0 and the supply chain of healthcare, which was formerly the central focus. With a specific emphasis on big data, the Internet of things, cloud computing, blockchain, artificial intelligence and 3D printing, the authors of the current study have showcased a connection between the practice of quality management and the performance of the supply chain by employing industry 4.0 technologies. This paves the way for the healthcare sector to place a heightened emphasis on organizational performance.

COVID entered the world in 2019 as a pandemic and the intensity of this health crisis is only increasing in several regions. Therefore, it is critical to study and detect the public's frame of mind, government and economists' perception regarding the COVID crisis, as well as the primary worries that the public has expressed, and how this evolves over time. Responsive measures towards COVID-19 from the Indian economy have been explored as a key objective. Moreover, efforts have been made to explore recovery in India through economists and policymakers. Data have been explored through online interviews of key economists which were published in leading newspapers and covered through media channels such as NDTV, CNBC, etc. Moreover, various newspapers and reports were explored to understand government initiatives to address COVID-19 in India. The study's findings show how essential economic recovery from the second wave is in India, and how it may be achieved by strong fiscal and monetary policies, as well as specific attention to impoverished households, small and micro-businesses and increased employment. The short-term focus of the developing economic strategy must be on giving crisis relief to the most unprotected segments of society since long-term system stimulation is impossible.

Migration has become a challenging issue in the field of education and an ongoing crisis for many countries. The migration crisis and education have a reciprocal relationship in that the influx of migrants puts a strain on educational systems, particularly regarding resources, funding, and linguistic and cultural differences. However, education can play a crucial role in addressing some of the challenges associated with migration, such as the need to integrate, skill acquisition and cultural awareness in host countries, as well as brain drain in the countries of origin. It is crucial to investigate how education can both address the problems caused by migration and maximise its potential for sustainable development. This chapter targets analysing relevant scholarship and aims to illustrate the broad patterns of relevant scholarly sources on migration in the field of education indexed in the Web of Science between 2015 and 2022, explore their collaboration trends, and reveal the conceptual structure of these studies in the context of international sustainable development. A bibliometric methodology is employed for the exploration and analysis of the publications; 991 studies on migration in the field of education are descriptively analysed in terms of distribution of publications with their citations, topics at the micro level, journals, and the number of authors contributing to these papers. The results contribute to picturing the characteristics and collaboration trend of the scholarly sources on migration in the area of education as a challenging disabler or a driving force that contributes to societal development within the scope of international sustainable development.

Scholars highlight the lack of research that explains the mechanisms leading to knowledge sharing, which appears complex and involves many variables. The primary aim of this study is to investigate the direct effect of organizational support for innovation on job crafting behaviors and knowledge sharing. The second objective is to assess the mediating role of job crafting in the relationship between organizational support for innovation and knowledge sharing. The third aim is to compare the direct effects of organizational support for innovation on job crafting behaviors and knowledge sharing between teleworkers and office workers.

Based on an empirical study involving 193 teleworkers and 191 office workers, the structural equation modeling method was employed to examine the direct and indirect effects of organizational support for innovation on knowledge sharing via job crafting behaviors. The comparison between teleworkers and office workers was investigated using a multigroup approach in AMOS software. This research is grounded in the conservation of resources theory and social exchange theory to elucidate these relationships.

The results indicate that organizational support for innovation has a positive influence on job crafting activities, manifested by the increase in structural and social resources, as well as the amplification of work-related challenges. The results also indicate that organizational support for innovation directly promotes knowledge sharing behavior and indirectly through job crafting. Furthermore, the findings reveal that these effects on job crafting and knowledge sharing are stronger among teleworkers compared to office workers.

The study has limitations. Its cross-sectional design does not establish causality, potentially leading to common method variance. However, after implementing many procedural and performing statistical tests, common method variance was not significant in this research. Replicating the study longitudinally would be valuable. Additionally, considering personality traits and technology characteristics in job crafting behaviors would be beneficial. Lastly, the study focuses only on accountants and predates COVID-19, which may impact its findings and generalizability.

The study’s findings underscore the practical significance of supporting innovation and fostering job crafting to enhance knowledge sharing, particularly for remote workers. It highlights that the extent of employees’ engagement in job crafting depends on the level of innovation support provided in their workplace. To mitigate potential negative outcomes such as increased absenteeism, reduced productivity and retention challenges, organizations could benefit from training supervisors to prioritize and encourage job crafting and knowledge sharing behaviors among employees, especially in telework settings. Ensuring alignment between organizational messaging and managerial attitudes is crucial. Without autonomy or flexibility for job crafting, the positive effects of organizational innovation support may be limited.

This study contributes to the literature by demonstrating that job crafting behaviors serves as mechanisms between organizational support for innovation and knowledge sharing. The findings further advance the literature by revealing three psychological and motivational processes that may explain this relationship, particularly when comparing teleworkers to office workers. Our results reveal that the effect of organizational support for innovation on job crafting and knowledge sharing is stronger among workers who telework compared to office workers. This advances the theory of conservation of resources, especially the significance of resource gains, particularly in contexts where employees need resources, such as in telework.

Pupils identified with SEND represent a significant proportion of the school community, comprising four children (on average) in every classroom. Yet, evidence suggests a wide variation in provision and common instances of pupils’ learning and mental health needs being missed or not being identified accurately. Criticism has also been directed at the dominant attention afforded to academic targets at the expense of mental health needs. This chapter explores the experiences of pupils with SEND, specifically youth with 22q11.2 deletion syndrome (22q11.2DS). Our case study charts a participatory action research (PAR) project designed to identify the unique issues facing pupils with 22q11.2DS and gaps in mental health and wellbeing support. A PAR approach recognises children and their families as the experts in issues affecting them and aims to capture their authentic ‘voice’. While educators are aware that pupils with SEND have been disproportionately affected by the pandemic, there remains an urgent need to strengthen support in schools with appropriate training and resources for staff, which this case study underlines.

The purpose of this study is to examine whether the use of videoconferencing for communication between the audit committee (AC) and auditors affects the quality of client firms’ audits.

This paper analyzes the mandatory disclosure information on AC–auditors communication using 1,065 Korean listed firm-years for the fiscal years 2020 and 2021. The details of AC–auditor communication (i.e. the extent of firms’ use of videoconferencing) are manually collected from audit reports.

This study finds that videoconferencing has a negative impact on audit quality, suggesting that it is not an effective communication medium between AC and auditors. The results are robust to alternative research designs (e.g. entropy-balanced sample, propensity score matching analysis and change analysis) that address endogeneity concerns. This study also finds that while the negative effect of videoconferencing is mitigated by holding more frequent AC meetings, neither AC independence nor expertise mitigates this effect.

This paper suggests that videoconferencing may affect audit quality by hurting the discussion between the AC and auditors.

The findings that videoconferencing impairs the effectiveness of ACs and thus lowers audit quality have practical implications as the COVID-19 pandemic has significantly changed how AC members and auditors interact. This study offers timely and valuable insights into the potential implications of these pandemic-induced changes on audit environments.

This study provides large-sample empirical evidence that directly examines the effect of videoconferencing on audit quality, enhancing the understanding of the communication dynamics between the AC and auditors. This study also contributes to the literature on the role of ACs in emerging markets by highlighting the information processing role of the AC.

This study aims to contribute to the existing literature by empirically investigating the impact of digital competitiveness and technology on corruption under the moderating effect of some cultural and economic control variables and providing evidence on the links between corruption and various cultural dimensions at the country level.

The cross-sectional sample covers 61 countries (41 high-income and 20 lower-income countries) during the 2016–2020 period, and the analysis was carried out for both the full sample and the subsamples.

The results provide clear evidence supporting the hypothesis that digitalisation and technology significantly affect the perceived level of corruption under the moderating role of cultural framework and economic development. Furthermore, the most significant cultural dimensions of corruption are individualism versus collectivism, uncertainty avoidance, long-term orientation and indulgence versus restraint, even if, in some cases, its influence might be felt differently when the results are estimated on subsamples. Thus, in the case of indulgence versus restraint, high-income countries with higher indulgence scores would register higher scores for the corruption perception index and thus a better control of corruption, while for lower-income countries, the more indulgent these countries are, the weaker the corruption control will be. Furthermore, our results validate a powerful and significant correlation between the index of economic freedom and corruption in both digitalisation and technology.

This study may have relevant implications for policymakers who need to recognise the role of digitalisation and technology in the fight against corruption but considering the cultural and economic characteristics specific to each country.

To the authors' knowledge, the relationship between digital competitiveness, technology and corruption within an economic and cultural framework, while highlighting the differences between high-income and lower-income countries, has not been previously documented in the literature. Thus, this article argues that the level of digital competitiveness and the adoption of technology would significantly impact the level of perceived corruption, although this impact could be felt differently by countries in the high-income category compared to countries in the lower-level income category.

This study aims to test the validity of the Rajan theory in South Africa and other selected emerging markets (Chile, Peru and Brazil) during the period 1975–2019.

In this study, the researchers used time-series data to estimate a Bayesian Vector Autoregression (BVAR) model with hierarchical priors. The BVAR technique has the advantage of being able to accommodate a wide cross-section of variables without running out of degrees of freedom. It is also able to deal with dense parameterization by imposing structure on model coefficients via prior information and optimal choice of the degree of formativeness.

The results for all countries except Peru confirmed the Rajan hypotheses, indicating that inequality contributes to high indebtedness, resulting in financial fragility. However, for Peru, this study finds it contradicts the theory. This study controlled for monetary policy shock and found the results differing country-specific.

The findings suggest that an escalating level of inequality leads to financial fragility, which implies that policymakers ought to be cautious of excessive inequality when endeavouring to contain the risk of financial fragility, by implementing sound structural reform policies that aim to attract investments consistent with job creation, development and growth in these countries. Policymakers should also be cautious when implementing policy tools (redistributive policies, a sound monetary policy), as they seem to increase the risk of excessive credit growth and financial fragility, and they need to treat income inequality as an important factor relevant to macroeconomic aggregates and financial fragility.