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The primary purpose of this study is to explore the effect of technical changes on provincial-level income inequality in Vietnam. The authors also investigate whether the quality of institutions and human capital level moderate this relationship.

This research applies the fixed-effect and random-effect models on a balanced panel data set of 63 Vietnamese provinces/cities from 2010 to 2020.

The study’s empirical results show that technical improvement has a nonlinear influence on income disparity in Vietnamese localities. When the local level of technology is limited, technological change can mitigate income disparity. However, as local technological levels increase, inequality tends to rise. Moreover, the study also reveals that the quality of a province’s institutions and the level of human resources are factors that moderate the correlation between technological change and income inequality. For provinces with better institutional quality and/or better human resources, inequality tends to decline under the impact of technological change.

The results of this study suggest that while encouraging technology advancement, localities should also ensure sustainable development, reduce income inequality and focus on improving institutional quality and human resources development.

There are increasing concerns about the impact of technical change on inequality in income distribution; however, empirical evidence on this relationship in developing countries remains scarce. This study is among the few attempts to examine this issue at the provincial level of a developing country considering the moderation effect of institutional quality and human capital level.

An increased interest in inequality and entrepreneurship has led to little consensus on how to define inequality from different perspectives based on an emerging economy point of view. This article aims to discuss how the precise nature of inequality differs centered on how it is developing in emerging economies.

A review of the current literature on inequality, entrepreneurship and emerging economies was conducted to focus on understanding the main factors. This resulted in the identification of six main types of inequality in entrepreneurship (social, digital, economic, cultural, geographic and environmental) and offers specific suggestions for future research.

Inequality in emerging economies can be differentiated based on type and level of entrepreneurial development as well as integrated into a conceptual framework that integrates different ways to measure the concept.

This paper focuses on different types of inequality in entrepreneurship from an emerging economy point of view that offers a unique way to understand country differences. In addition, theoretical and methodological directions for future research are outlined, which consolidates current research and extending research on inequality, entrepreneurship and emerging economies.

The primary aim of this study is to identify and analyze the key digital transformation areas and determine their impact on technological unemployment in the textile sector. In addition, this study explores whether digital transformation contributes to neo-Luddism or Robot Breaking.

The advent of digital transformation has raised significant concerns, particularly concerning technological unemployment. This study focuses on conducting an analytical hierarchical process (AHP) analysis to determine the impact of different disciplines within digital transformation on technological unemployment. The investigation specifically delves into the ongoing transition to Industry 4.0 within the textile industry. This study uses a mixed-method approach, consisting of a literature review, bibliometric analysis, eight expert phenomenological interviews, and AHP.

This study revealed that artificial intelligence, machine learning and deep learning are the most crucial disciplines that will affect the concept of neo-Luddism. The fact that technological unemployment in the textile sector is examined with AHP Analysis makes this study unique.

This study contributes to Industry 4.0 literature by examining the nexus of technological unemployment in textile manufacturing and the emergence of neo-Luddism.

This interview study examines Hungarian journalists' and copywriters' expectations of generative AI’s impact on their professions and factors influencing these views during a period of hype.

While acknowledging the specialized knowledge of journalists and copywriters relative to the general public, the study employs the sociology of expectations framework to interpret their anticipations not as objective forecasts of the future, but rather as phenomena shaped by diverse influences. The research comprises 30 semi-structured interviews conducted in spring 2023 to explore these expectations and their contributing factors.

Results reveal ChatGPT’s media coverage as pivotal, encouraging the professionals interviewed to experiment with AI, reassess their roles, and cause a shift in their job expectations. At the same time, this shift was limited. Skepticism about hyperbolic media formulations, their own experiences with ChatGPT and projecting its constraints into the future, contextual factors, and optimism bias contributed to moderating their expectations. They perceived AI as an enhancer of efficiency and quality, not as a radical disruptor. Copywriters were more open to integrating AI in their work, than journalists.

The results underscore the importance of further research to explore subjective experiences associated with technological change, particularly considering their complex social, psychological, and cultural influences.

The study uniquely contributes to the sociology of expectations by highlighting how a complex interplay of factors can shape professionals' anticipation of the impact of AI on their careers, including optimism bias and media hype.

This work analyses how the adoption of technological innovations correlates with workers' perceived levels of job insecurity, and what factors moderate such relationship.

The study makes use of the 2018 wave of the Participation, Labour, Unemployment Survey (PLUS) from Inapp. The richness of the survey and the representativeness of the underlying sample (including 13,837 employed workers) allow employing various empirical specifications where it is possible to control and moderate for many socio-demographic features of the worker, including her occupation and industry of employment, thereby accounting for various potential confounding factors.

The results of this ordered logit estimations show that workers' perception of job insecurity is affected by many subjective, firm-related and even macroeconomic factors. This study demonstrates that the adoption of technological innovations by companies is associated with lower levels of job insecurity perceived by their workers. In fact, the adoption of technological innovations by a company is perceived by surviving workers (those who remain in the same firm even after the introduction of such innovations) as a signal of the firm's health and its commitment to preserving the activity. Individual- and occupation-specific moderating factors play a limited role.

This study estimates how perceived job insecurity relates to the technological innovations adopted by the firms in which the interviewees are employed rather than analyzing their general concerns about job insecurity. In addition, this study identifies different types of innovations, such as product and process innovation, automation and other types of innovations.

The measurement of women's economic welfare and exploring its underlying factors have been undervalued in the context of Khyber Pakhtunkhwa, Pakistan. This study addressed this gap by focusing on assessing women's subjective economic welfare and its socioeconomic and cultural determinants in the education and health sectors within Mardan, Northern Pakistan.

The study used stratified random sampling techniques for the selection of sample respondents and collected data through a well-structured questionnaire. To measure women’s economic welfare, the study utilizes Lorenz curves, the Gini index, the Sen Social Welfare function and an individual's gross monthly income. Furthermore, the ordinary least squares method was utilized to analyze the determinants of economic welfare.

The findings show greater income inequality and a lower welfare level for women in the education sector compared to the health sector. Likewise, the study identifies several key determinants, such as age, educational qualification, job experience, respect for working women, outside and work-place problems and the suffering of family members of working women for their economic well-being.

This study makes valuable contributions to the literature by focusing on the cultural perspective of Pakhtun women in Mardan and providing a context-specific understanding of subjective economic welfare. Additionally, the authors collected first-hand data, which gave an original outlook on working women's current economic welfare level. Furthermore, this study undertakes a comparative analysis of working women's welfare in the health and education sectors. This comparison offers a more accurate portrayal of the challenges and opportunities specific to these occupations.

The peer-review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0246

Through the review of several journal articles on the adoption of information and communication technologies (ICTs) and how it impacts students’ motivation to continue with their studies or to drop out of their academic program, this study aims to review the literature on the impact of ICTs on student motivation at a university.

This paper is based on a systematic literature review steered by the PRISMA guidelines. This paper uses both Durban University of Technology subscription-based and publicly available papers. The research articles examined were published between 2018 and 2023 in Scopus, Web of Science and ScienceDirect.

Reviewed literature bespeaks that ICTs can increase student motivation by enhancing interactive, engaging and individualized learning. Digital technologies that engage students and offer a more engaging learning environment include instructional apps, online simulations and multimedia content. Using ICTs may be useful in lowering university dropout rates.

The systematic review yielded valuable insights for both academic research and real-world applications in education regarding the Durban University of Technology. The study offers a comprehensive analysis of the nexus between ICTs and student motivation.

This study aimed to investigate the perception and acceptance of artificial intelligence (AI) technologies among the Israeli workforce. More specifically, it examined how age, income, and education level are related to employees’ fears of being replaced by AI technologies and their willingness to adopt these technologies in their personal and professional lives.

Data were collected by surveying 502 adults from the Jewish population of Israel in February 2023 via an Internet panel. Stratified sampling was performed to ensure a representative cross-section of the population.

Contrary to the expectations from a technologically advanced society, the findings indicated varied levels of enthusiasm and apprehension. Age was found to be negatively correlated with the fear of being replaced by AI technologies and the willingness to adopt these technologies. Income was negatively correlated with the fear of being replaced by AI technologies. Education level was negatively correlated with the fear of being replaced and positively correlated with the willingness to adopt.

The findings provide valuable guidance for policymakers, educators, and business leaders in shaping AI integration strategies. They emphasize the need for targeted educational and policy initiatives to bridge the gap in AI readiness.

This study offers unique insights into the perceptions toward AI in a leading technological hub, contributing to the understanding of how advanced societies are adapting to rapid AI integration.

This chapter aims to study international experience and prospects for improving accounting practices to enhance the competitiveness of enterprises. The research is based on a sample from 202 countries for 2019–2022, relying on World Bank statistics. The authors ranked the factors related to accounting practices in terms of their significance in ensuring the global competitiveness of enterprises. The most significant factors are the detalization of accounting, communication with tax inspectors, and accounting digitalization of accounting. The least significant and contradictory factor was the inclusivity of top management. The theoretical significance lies in the fact that its results revealed previously unknown influences of accounting practices (managerial factors) on the competitiveness of enterprises. The scientific novelty of the obtained results lies in the rethinking of the process of managing the global competitiveness of enterprises in the accounting system through the prism of Sustainable Development Goals (SDGs), substantiating that this management most actively supports the implementation of SDG 16 and SDG 17, generally supports SDG 9, and slightly contributes to SDG 5. The practical significance is associated with the perspective of enhancing the competitiveness of enterprises through the improvement of accounting practices (using Uzbekistan as an example). It demonstrates that even with low activity and small market capitalization of domestic enterprises on the stock market, improving accounting practices can significantly increase this activity and capitalization. The author's recommendations will help improve accounting practices and ensure the growth of the global competitiveness of enterprises in Uzbekistan in the medium term until 2026.

To analyze the quality of transitional care for patients with COVID-19 at discharge from Brazilian university hospitals.

A cross-sectional descriptive study was carried out in five Brazilian university hospitals between April and December 2021. The sample consisted of 527 participants. Data collection consisted of a sociodemographic questionnaire and the Care Transitions Measure (CTM-15), a care transition assessment instrument, which was translated and validated in Portuguese.

Most participants were patients (n = 369; 70.0%), with primary school completion (n = 218; 43.4%), multiracial (n = 218; 43.5%) and with an income of up to two minimum wages (n = 182; 42.8%). Dimension 1 – management preparation – obtained the highest score (71.2 points, SD = 16.5), while Dimension 4 – care plan – obtained the lowest score (62.2 points, SD = 23.4). Among the participating hospitals, there was a difference in the overall mean with results ranging from 67.0 to 72.9 points.

A satisfactory quality of care transition was found, considering the context of a pandemic. The main weaknesses in the care transitions were related to the care planning after hospital discharge.