Search results

Based on the job-demands resources model, this study examines the potential of human resource management practices to simultaneously improve physicians' burnout and quality of patient care during the COVID-19 pandemic.

Drawing on a sample of 499 physicians working in specialised medical units, structural equation models through PLS-SEM was used to check the proposed hypotheses.

The results show that human resource management can reduce physicians' burnout and increase quality of patient care by considering job demands and job resources as mediators. In addition, this study suggests that burnout and quality of patient care can be improved simultaneously.

This research is focused on healthcare, which opens important opportunities to extend the proposed model in other public and private industries.

Managers need to understand that fostering well-being among employees is crucial for human resource management and impacts positively on employee performance.

This study offers a double mediation process whereby job demands and job resources are key underlying mechanisms through which human resource management practices reduce burnout and improve performance in a compatible way.

The management of employee happiness and well-being has been gaining interest in academic research in recent years; however, few studies have focussed on the entrepreneur's perspective. The aim of this paper is to analyse the state of research on women-led businesses, well-being and happiness management.

A bibliometric study has been carried out since 1996, the first year in which publications in this field were detected. In total, 128 papers are identified in the most reliable database, Web of Science Core Collection. A network mapping of authorship, citation and co-occurrence of keywords in scientific publications is shown.

The results of this study confirm that societal changes resulting from crises increase research interest in improving organisational environments and happiness. After the economic crises of 2013, there was a boost, and after the pandemic, there is again a boost in research. More than half of the publications and citations on female entrepreneurship and happiness management are post-pandemic. The study offers some research directions and emphasises the role of gender.

This article brings a new approach to the study of well-being in organisations, highlighting the relevance of the role female leadership plays in promoting happiness at work.

Outside of Europe and the United States, the knowledge on skills dynamics is scarce due to a lack of data. We therefore assess whether online data on vacancies and applications to a job board can help fill this gap. We propose a taxonomy with three broad categories – cognitive, socioemotional, and manual skills – and 14 commonly observed subcategories, which we define based on unique skills identified through keywords and expressions. The taxonomy is comprehensive but succinct, suitable for developing and emerging economies, and adapted for online data. We then develop a text-mining approach to implement the taxonomy. Based on Uruguayan data from the job board BuscoJobs, we find that our model is able to assign skills to 64% of applicants' employment spells and 94% of vacancies. While online data are usually skewed toward highly qualified work, we show that our data include meaningful numbers of vacancies and applicants of intermediate and even lower qualification levels. Our approach relies on data that are currently available in many countries, thereby allowing for country-specific analysis that does not assume that occupational skills are constant across countries. This is key as we find considerable differences between our findings and those using US O-NET data. Finally, we end with an illustration of how our approach can inform the analysis of skills dynamics. To our knowledge, we are the first to explore this approach in the context of emerging economies.

Sarcasm is a sentiment in which human beings convey messages with the opposite meanings to hurt someone emotionally or condemn something in a witty manner. The difference between the text's literal and its intended meaning makes it tough to identify. Mostly, researchers and practitioners only consider explicit information for text classification; however, considering implicit with explicit information will enhance the classifier's accuracy. Several sarcasm detection studies focus on syntactic, lexical or pragmatic features that are uttered using words, emoticons and exclamation marks. Discrete models, which are utilized by many existing works, require manual features that are costly to uncover.

In this research, word embeddings used for feature extraction are combined with context-aware language models to provide automatic feature engineering capabilities as well superior classification performance as compared to baseline models. Performance of the proposed models has been shown on three benchmark datasets over different evaluation metrics namely misclassification rate, receiver operating characteristic (ROC) curve and area under curve (AUC).

Experimental results suggest that FastText word embedding technique with BERT language model gives higher accuracy and helps to identify the sarcastic textual element correctly.

Sarcasm detection is a sub-task of sentiment analysis. To help in appropriate data-driven decision-making, the sentiment of the text that gets reversed due to sarcasm needs to be detected properly. In online social environments, it is critical for businesses and individuals to detect the correct sentiment polarity. This will aid in the right selling and buying of products and/or services, leading to higher sales and better market share for businesses, and meeting the quality requirements of customers.

The purpose of this paper is to investigate the competitive position of the company Inditex in the period 1990-2013 as a case study, identified by academics and professionals as a successful company. The analysis has focussed on the comparison of Inditex with its competitive environment.

The methodology used to achieve the objectives was: data envelopment analysis for the analysis of efficiency and for the second the Tobit regression to determine the factors explaining efficiency. The authors have used additional methodologies such as social networks or cluster analysis.

The individual company analysis reveals that the average efficiency level by years for the period 1990-2013, is relatively high 88.8 percent. The determinants of efficiency have been; the resources of the company in terms of assets whose relationship with is U-shaped curvilinear, where the minimum value (trend change) is produced between years 2002 and 2003. The degree of internationalization of the firm, is positively related to efficiency. As the company increases its expansion, experience and skills, increases efficiency. Finally, the effect of liberalization of textile trade in 2005 had no influence on the efficiency levels.

The limitations involving the methodology, in terms of representativeness, possible generalizations and type of secondary information used, can be offset by the ability to provide good vision and establish alternatives for possible studies.

This paper contributes to the fast-fashion retail industry literature by emphasizing the importance of the case study.

The study aims to investigate the potency of fermented rice bran extract as anti-hypercholesterolemia product by looking at its effect on lipid profile levels and blood glucose levels in dyslipidemia model rats.

Rice bran was fermented using Rhizopus oligosporus-contained tempeh mold extracted using distilled water. Twenty-four Sprague Dawley rats were divided into a control group and hypercholesterolemia groups. Hypercholesterolemia, also known as dyslipidemia, was induced with fructose-supplemented high-fat diet. Rats induced with dyslipidemia received three different fermented rice bran extract doses, 0 (negative) 1102.5 mg/kgBW/day (FRBE 1) and 2205 mg/kgBW/day (FRBE 2). Blood was collected before and after four weeks of treatment for lipid profile and blood glucose analysis.

FRBE 2 had significantly lower total cholesterol (101.6 ± 3.3 vs 187.6 ± 3.7 mg/dL), triglyceride (83.3 ± 2.8 vs 130.7 ± 3.4 mg/dL) and LDL level (27.9 ± 1.7 vs 76.7 ± 1.5 mg/dL) but higher HDL level (64.1 ± 3.0 vs 25.5 ± 1.2 mg/dL) compared to the negative group (p < 0.001). Provision of fermented rice bran showed dose-response relationship in all blood lipid markers.

This study was the first to investigate the effectivity of Rhizopus sp.-fermented rice bran extract to improve glucose and lipid profile.

This paper aims to examine the relationships between socioeconomic development, renewable energy and the innovative process by providing: a descriptive analysis; a co-occurrence analysis of terms, thematic mapping and conceptual structure; and the typology of the textual corpus.

To analyze the relationship between “renewable energies, socioeconomic development and the innovative process,” it is necessary to build a theoretical foundation that contains the relevant scientific studies and reflects the current state of the art on the subject. For this, this study developed a systematic literature review (SLR) using the preferred reporting items for systematic reviews and meta-analyses research protocol to answer the relationship on the theme.

Research shows a global understanding of the need to invest in developing studies to reduce carbon dioxide emissions and improve economic growth. The main contributions lie in providing a typology of the state of the art, identifying the joint relationships between themes, insights into the key themes and indicating themes that must be developed. This study may also support future empirical studies as it provides a theoretical foundation for formulating hypotheses, which can be tested through qualitative and quantitative approaches.

The innovative character consists of addressing a shortage of SLRs on this theme. Thus, this paper fills this gap by providing a theoretical foundation for future scientific and academic knowledge generation. Furthermore, regarding the interdisciplinary aspects of this research as contributions, this paper presented different approaches and theoretical perspectives.

The purpose of this paper is to understand how social and commercial ventures interact with each other. It investigates how the entry, exit and prevalence of commercial ventures in a given region can influence the creation of social ventures.

Market failure theory has been used as a framework for analysing the interaction between social and commercial ventures. The results of the theoretical analysis were further empirically examined using a large-scale database covering all 290 municipalities in Sweden from 1990 to 2014 and applying the panel-corrected standard errors method.

The results of this study, in general, reveal a competition between social and commercial ventures. Its specific results, however, are related to influences that the entry, exit and prevalence of commercial ventures can have on the creation of social ventures. The study’s results reveal that while the entry and prevalence of commercial ventures in a region negatively influence the creation of social ventures, commercial ventures’ exits have a positive influence.

Within social entrepreneurship literature, this is the first study that empirically investigates the influence of commercial ventures’ entry and exit on social venture creation and the second study to investigate the influence of commercial ventures’ prevalence on social venture creation. It is also the first of such studies in the Swedish context. The study is also unique due to the large-scale database it uses.

This study conducts a systematic review to analyze the impact of blockchain technology and smart contracts on digital entrepreneurial finance and venture funding. It aims to investigate how these technologies can transform business operations, offering enhanced transparency, security and efficiency in various financial contexts.

A systematic literature review was conducted following PRISMA guidelines to assess the effectiveness of blockchain and smart contracts in generating business value. The study used the Scopus database to identify relevant articles published between 2015 and 2023. Quantitative and qualitative analyses were performed on the data using IRAMUTEQ software and Bibliometrix tool, both based in the “R” programming language.

The study reveals significant potential for blockchain and smart contracts to disrupt traditional venture funding models by automating contract execution and reducing administrative costs. Blockchain’s secure, decentralized ledger offers advantages in peer-to-peer transactions and risk mitigation, particularly in supply chain management and international trade. However, challenges related to scalability, energy consumption and regulatory compliance were also identified.

Despite the contributions, systematic review of the literature has limitations. Only articles in English, published in journals, were considered for this research, omitting, for example, conference articles and research in other languages, which may also contain relevant information.

The study contributes to the existing literature by synthesizing recent advancements in blockchain and smart contract applications within entrepreneurial finance. It highlights the transformative potential of these technologies while addressing their limitations and offering insights into future research directions. The findings provide valuable implications for academics, practitioners and policymakers interested in leveraging blockchain for financial innovation.

Women’s entrepreneurial activity can significantly impact economic and social development globally, particularly in developing countries. The significant challenges entrepreneurial women face draw the attention of researchers and policymakers. This paper aims to analyse the impact of gender disparity on the likelihood of obtaining equity financing through crowdfunding. The equity crowdfunding industry was selected because it is a non-traditional financial market where gender bias may act differently for women.

To investigate the relationship between gender and equity financing through crowdfunding, this paper applies ordinary least squares regression. The analysis is based on a unique data set of 492 equity crowdfunding campaigns launched between 2013 and 2017 on all existing platforms in Brazil, Chile and Mexico.

The analysis reveals that the involvement of at least one woman on the board of firms seeking equity financing increases campaign success rates in terms of the investors’ average pledge, the target amount reached at the end of the campaign and the percentage raised at the end of the campaign exceeding the initial fundraising goal. Altogether, this suggests that equity crowdfunding campaigns should be based on gender equality in the firms’ boards. The research finds evidence that there is no gender disparity in the likelihood of a campaign being financed by a greater number of investors.

These findings have implications for Latin American female entrepreneurs when selecting funding sources and policymakers when defining political actions to remove the barriers at the root of this historic inequality in female entrepreneurs’ access to finance.

To the best of the authors’ knowledge, this document analyses the gender disparity in the Latin American equity crowdfunding market, shedding light on women’s access to crowdfunding financing for the first time.