Search results

Social entrepreneurship is a topical issue in the context of entrepreneurial intention. Our quantitative study seeks to explore the complex and dynamic nexus of the ever-evolving landscape of entrepreneurial intentions, which results in socioeconomic development through the mediating influence of entrepreneurial knowledge.

The South Asian region was considered a research population, considering its characteristics and inclination toward social entrepreneurial activities. The required data were collected using an online survey questionnaire. 330 questionnaires were mailed online to the targeted participants, and 239 responses were received and analyzed using SPSS and AMOS software.

The study found a significant positive relationship between entrepreneurial intention and socioeconomic development. A 1% improvement in entrepreneurial intention corresponds to a 40% increase in socioeconomic development and 17% enhancement in entrepreneurial knowledge. Our study also demonstrates that a 1% improvement in entrepreneurial intention brings about a substantial improvement of 26% in socioeconomic development when mediated by entrepreneurial knowledge.

It is recommended that intentional learning spaces focus on intensifying social entrepreneurial intention and develop mechanisms for knowledge transfer platforms to facilitate knowledge sharing among social entrepreneurs. Organizations may support and take initiatives to bridge the gap between experienced and novice social entrepreneurs. Institutions may introduce incentive structures that promote sustainable entrepreneurship, highlight social entrepreneurs’ success stories, and emphasize the linkage between intention, knowledge, and positive societal outcomes.

Owing to the lack of literature and inadequate empirical research, our study was articulated to enhance existing knowledge and postulate the basis for high-order empirical studies in the context of social entrepreneurial intention backed by entrepreneurial knowledge. Moreover, this study provoked entrepreneurial intention based on the theory of planned behavior with the mediating influence of entrepreneurial knowledge, which adds a distinctive dimension to social entrepreneurial intention, enhances research originality, and provides practical implications for individuals seeking to thrive in dynamic environments.

The heritage and tourist attractiveness of Heritage Cities have aroused interest in establishing mechanisms to enhance their value based on the development of sustainability policies. The socioeconomic and socioenvironmental valuation of these heritage sites has become a necessary tool for decision-making.

Following the recommendations of International Council on Monuments and Sites – ICOMOS, this paper proposes a series of indicators and an exploratory model to define the factors that contribute to their valuation. Following the partial least squares structural equation modelling methodology, information was obtained from 363 intramural residents in the three Heritage Cities that currently have management plans in Spain.

The results show the importance of specifying indicators of sustainable mobility and socioeconomic and socioenvironmental sustainability for an adequate valorisation of heritage sites.

To this end, it is necessary to follow the guidelines of international bodies such as ICOMOS in relation to the management plans.

A woman's nutritional status significantly determines her overall well-being. The authors critically examine the trends — including socioeconomic disparities — in undernutrition among Muslim women in India, a notably socio-economically disadvantaged group. The authors also investigate trends and variations across the dimensions of caste, place of residence (rural/urban), education, economic status and geographic regions.

The analysis leverages the nationally representative National Family Health Surveys (NFHS) of India conducted between 1998 and 2021. The authors examined poor–rich ratios, concentration indices, disparity ratios and predicted probabilities of being underweight (captured using Body Mass Index).

From 1998 to 2021, there has been a decline in undernutrition prevalence among Muslim women. However, stark socioeconomic variations persist. While the prevalence has decreased over time across all socioeconomic groups, disparities — both within and between groups — remain significant and, in many cases, have expanded. For certain socioeconomic subgroups (e.g. Muslim women with no formal education or those in the Central and Northeast regions), the disparity doubled between 1998 and 2021. In regions like the South, where undernutrition prevalence is low or has reduced, disparities remain significant and generally have increased.

To the authors’ knowledge, the study is the first to provide a comprehensive examination of the prevalence, trends and socioeconomic disparities in undernutrition among Muslim women in India over the past two decades.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0320

This research examine participation in a dual enrollment program and a student's race and socioeconomic status. In addition to examining the college retention and graduation rates (student success) of dual and non-dual enrolled students, this study looked at potential race and socioeconomic disparities.

A quantitative ex post facto research design using logistic regression was used to analyze data from the University System of Georgia (N = 28,664) to determine the relationships between participation in a dual enrollment program, students' race and socioeconomic status and their retention and graduation.

Findings from this quantitative study indicated that the predictor variables dual enrollment participation, race and socioeconomic status were significant in predicting retention and graduation outcomes.

This study adds to existing research indicating that students from different races and socioeconomic statuses, who participated in a high school dual enrollment program, are being retained beyond the first year in college and graduating at higher rates than non-dual enrolled students.

Given the scientific and practical difficulties inherent in measuring and comparing socioeconomic deprivation (SED), and the further complexity added in cross national measurements, the main aim of this paper was to check the validity of SED measures used in PISA 2018 dataset. The SED measure used in PISA 2018 was the PISA index of economic, social and cultural status abbreviated as the ESCS index. This assessment was important as PISA analysis is based on variables derived from this instrument and the ESCS index and these reports influence and reflect international and comparative education policies and practice.

This study critically evaluates the socioeconomic status measures in the PISA 2018 dataset, focusing on their convergent validity and cross-national comparability. Using responses from over 600,000 students in 73 countries, it examines the validity of SES indicators and their comparability across countries. The study employs principal component analysis to construct local SES measures and compares them with the existing Economic, Social, and Cultural Status (ESCS) index. It explores the relationship between these SES measures and academic achievement in reading, science, and mathematics, aiming to understand their predictive validity in diverse educational settings. Statistical analyses were conducted using the IEA’s IDB Analyser and SPSS, ensuring robustness and generalisability across the diverse participant countries.

Our research findings challenge the assumed superiority of local measures over broader constructs like the Economic, Social, and Cultural Status (ESCS). It suggests that standardised measures like ESCS may provide more reliable predictions of academic achievement across various educational contexts, underscoring the complex relationship between SES measures and academic performance.

Our novel analysis shows that local and cross-national SED measures are poorly correlated. Our findings raise questions about the measures' validity while acknowledging the methodological challenges. We provide empirical evidence to support ongoing debates on the topic.

This study aims at identifying various socioeconomic variables that influence the development of work alienation among Indian bank employees.

Data were collected from a sample of 552 employees working in ten public and ten private sector banks in Punjab. Statistical techniques such as the independent sample t-test, Welch’s F-test and Games–Howell procedure were used for data analysis.

Results of this study indicated that socioeconomic variables, namely, age, educational qualification, monthly income and work experience, significantly influence work alienation among bank employees. In contrast, gender, marital status, type of bank and cadre did not have any significant relationship with work alienation.

This study is one of the limited research studies that has examined the linkage between socioeconomic variables and work alienation in the context of the banking sector of a developing nation like India.

Financial inclusion in Peru has been addressed through coverage, quality of financial services, movement of transactions, and service points. The purpose of this chapter is to evaluate for the department of Ancash, Peru, the link between financial inclusion and its socioeconomic factors. Socioeconomic variables and financial inclusion of the Ancash department of the National Household Survey are taken as indicators, later contrasted through the logit model, with the financial inclusion variable being the explained variable.

There is evidence of positive and negative relationships between financial inclusion and socioeconomic variables; these are important components for planning financial inclusion. Raising the levels of formal employment, the educational level and considering the area of residence would be a strategy to generate a dynamic of inclusion in the department of Ancash.

This article analyzes the relationships between different conceptions of time, socioeconomic development and cultural values.

We focus on three major aspects of time, namely, 1) duration, 2) orientation and 3) tempo. Furthermore, we draw on modernization theory to distinguish between agrarian/traditional and industrial/modern societies and their respective cultural values.

Analyses indicate that agrarian/traditional societies with cultural values such as collectivism, survival, religiosity and hierarchical structures are marked by subjective/cyclical/inaccurate, past-oriented and slow-paced conceptions of time. In contrast, industrial/modern societies with cultural values such as individualism, self-expression, secularism and egalitarianism are marked by objective/linear/accurate, future-oriented and accelerated conceptions of time.

This paper introduces an original conceptualization of the three dimensions of time – duration, orientation and tempo – previously overlooked in the literature. Additionally, it provides an in-depth and comprehensive analysis of the relationships between time, culture and socioeconomic development.

This chapter focuses on the problem of socioeconomic development of the Kyrgyz Republic's regions based on the analysis of the gross regional product per capita in all regions and determines the need for interregional alignment in the sustainable development context. The subject of this research is the issue of interregional inequality. This chapter aims to study and develop proposals for the socioeconomic alignment of the regions of the Kyrgyz Republic in the sustainable development context. The methodological basis of this chapter is based on economic and mathematical methods of data processing and the method of scientific analysis, including statistical data analysis. The authors propose measures to reduce the socioeconomic differentiation of the regions of the Kyrgyz Republic. The relevant state bodies in the development of regional socioeconomic programs can use the recommendations and conclusions of this chapter. The scientific value of the publication is that its results can be used in further research on territorial alignment.

This study aims to analyze how ready a firm is to transform into Industry 4.0 using the Readiness Index (INDI 4.0) assessment. It also investigates the differences (before and after) of the program “Making Indonesia 4.0” in 2018 in socioeconomic and demographic aspects.

The INDI 4.0 assessment involved a self-evaluation by 622 companies across 13 industry sectors, subsequently verified by the Ministry of Industry. This study incorporates discussions with industry experts to enhance the interpretation of the analytical findings.

This study explores the interrelation among the components of INDI 4.0 across different levels, assessing the readiness of each sector for Industry 4.0. The findings reveal the diverse impact of implementing Industry 4.0 in Indonesia on socioeconomic and demographic aspects. Furthermore, the study proposes several policy recommendations for the Indonesian government’s consideration.

This study’s scope is confined to the industrial context of Indonesia, as the assessment components are tailored to the specific characteristics and culture of the country’s industry. Subsequent research endeavors can leverage this study as a foundational reference, adapting the components to align with the particular interests of other nations.

Businesses, especially those in Indonesia, can employ these findings to evaluate their position in the context of Industry 4.0 transformation compared to their industry. Simultaneously, the Indonesian government can use these results as a starting point to evaluate and potentially enhance their policies related to Industry 4.0. We recommend five policy proposals for the Indonesian government: diversifying measurement models, shifting terminology, emphasizing soft skills, promoting continuous learning and implementing Center of Digital Industry Indonesia 4.0 (PIDI 4.0) initiatives.

This study offers a broad impact of Industry 4.0 implementation in socioeconomic and demographic aspects in Indonesia, such as income, job-shifting, age, educational background and gender.

To the best of our knowledge, no prior research has explored the repercussions of industrial implementation on socioeconomic and demographic facets.