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The prison population is seldom studied and often overlooked in many countries despite their vulnerability to long-term illness. This study aims to explore the factors associated with the non-treatment for long-term illnesses among incarcerated individuals.

This study is a cross-sectional analysis. The authors conducted a secondary data analysis using information collected in the Peruvian census of incarcerated individuals. The study population consisted of incarcerated individuals diagnosed with a long-term illness. To evaluate the factors associated with non-treatment, the authors used a Poisson regression model.

The authors included 12,512 incarcerated individuals (age: 40.9 ± 13.1 years), and 39% of them did not receive treatment for their long-term illness. The authors observed that non-treatment was statistically associated with gender, age, having children, use of the Spanish language, sexual identity, judicial situation, penitentiary location, discrimination inside the penitentiary and health insurance before incarceration. However, only having children (prevalence ratio [PR]: 1.11, confidence interval [CI]95% 1.03–1.19), using the Spanish language (PR: 1.15, CI95%: 1.01–1.31), being in a penitentiary not in Lima (PR: 1.11, CI95%: 1.06–1.17) and perceiving discrimination inside the penitentiary (PR: 1.12, CI95% 1.06–1.18) increased the prevalence of non-treatment.

Identifying the factors associated with non-treatment will allow us to implement measures for prioritizing groups and developing strategies for the evaluation, close follow-up of their health and management of comorbidities.

Doctoral programs play a crucial role in promoting innovation and technology transfer in universities. To design these programs effectively and with a co-design perspective, it is essential to consider all stakeholders involved in the process, including teachers, students and employers. The main objective of this study is to enhance postgraduate programs to improve students' employability.

This empirical study was conducted over a three-year period and employed semi-structured interviews as its primary research methodology. In the first phase, 21 in-depth semi-structured interviews were conducted with managers from various sectors. The second phase involved 20 interviews, and the final phase of the study included 18 interviews with the same managers from previous phases.

The study's main results revealed that the international networks, language proficiency and analytical skills of doctoral students were highly valued by employers. The main findings come from companies with doctoral students. Therefore, the skills were identified during the learning experience of the PhD graduates in the companies.

The study's results can guide improvements in postgraduate program curricula and design to enhance students' employability.

This research presents a novel approach to its findings. On the one hand, the study's conclusions may provide valuable insights for business agents, encouraging them to hire PhD students. On the other hand, it aims to drive necessary changes that promote more PhD students' focus on non-academic careers, creating significant value for research and innovation in the private sector.

This study aims to validate the content of an instrument which identifies the organizational, sociocultural and technological characteristics that foster digital transformation (DT) in higher education institutions (HEIs) through the Delphi method.

The methodology is quantitative, non-experimental, and descriptive in scope. First, expert judges were selected; Second, Aiken's V coefficients were obtained. Nine experts were considered for the validation.

This study’s findings show that the instrument has content validity and there was strong consensus among the judges. The instrument consists of 29 questions; 13 items adjusted and 2 merged.

A novel instrument for measuring the DT at HEIs was designed and has content validity, evidenced by Aiken's V coefficients of 0.91 with a 0.05 significance, and consensus among judges evidenced by consensus coefficient of 0.81.

Environmental risks (ERs) are critical to any highway construction project (HCP). One of the main contracting parties responsible for ERs is the contractor. Hence, it has been crucial to look into ways to control ERs in HCPs from the contractor’s perspective. This study aims to investigate how ERs can be managed in HCP in Sri Lanka.

A quantitative research approach with three rounds of Delphi was used. Statistical techniques were used to analyse and validate the ERs, the parties to whom the risks were to be allocated, and risk management measures identified from the empirical data collection.

The study reveals the 11 most significant ERs for HCP. Further, the most significant ERs in HCP were mainly found to be the responsibility of contractors in Sri Lanka. Twenty-four most appropriate risk response measures were determined; 13 were found to be common measures that could be used to manage two or more risks, while the remaining 11 were unique to specific risks.

Overall, this research determines the most significant ERs in HCP, the best risk allocation among the parties and appropriate risk-handling strategies and measures for each significant ERs. Additionally, the study addresses the demand for ERs management in HCP.

The purpose of this paper is to analyse the role of quality management on the development of organisational exploration.

Partial Least Square was used on a sample of 350 companies within the Spanish organic agro-food industry.

The study results provide empirical evidence of the positive and significant impact that quality management has on the development of organisational exploration.

Causal relationships cannot be applied to this study due to cross-sectional data being used rather than longitudinal data.

Quality management must be considered by managers an essential tool to the development of organisational exploration. As a systematic approach, that moves towards to the development of policies, attitudes and behaviours which foster and boots the development of organisational exploration.

Quality management is a widely used management approach, which organisations use to improve the quality of their products, services and their overall performance. Organisational exploration is seen as a fundamental tool to ensure sustainability, profitability and the future survival of organisations; however, there is disagreement throughout previous research. Some authors point out the importance of quality management in developing activities that promote organisational exploration, whereas other authors see quality management as an inhibitor. Given the great controversy in previous research, our study clarifies the role of quality management in the development of organisational exploration.

The pandemic has enhanced the global phenomenon of disinformation. This paper aims to study the false news concerning COVID-19, spread through social media in Spain, by using the LatamChequea database for a duration from 01/22/2020, when the first false information has been detected, up to 03/09/2021.

A quantitative analysis has been conducted with regard to the correlation between fake news stories and the pandemic state, the motive to share them, their dissemination in other countries and the effectiveness of fact checking. This study is complemented by a qualitative method: a focus group conducted with representatives of different groups within the society.

Fake news has been primarily disseminated through several social networks at the same time, with two peaks taking place in over a half of the said false stories. The first took place from March to April of 2020 during complete lockdown, and we were informed of prevention measures, the country’s situation and the origin of the virus, whereas the second was related to news revolving around the coming vaccines, which occurred between October and November. The audience tends to neither cross-check the information received nor report fake news to competent authorities, and fact-checking methods fail to stop their spread. Further awareness and digital literacy campaigns are thus required in addition to more involvement from governments and technological platforms.

The main limitation of the research is the fact that it was only possible to conduct a focus group of five individuals who do not belong to generation Z due to the restrictions imposed by the pandemic, although a clear contribution to the analysis of the impact of fake news on social networks during the COVID-19 pandemic in Spain can be seen from the privileged experiences in each of the fields of work that were identified. In this sense, the results of the study are not generalizable to a larger population. On the other hand, and with a view to future research, it would be advisable to carry out a more specific study of how fake news affects generation Z.

This research is original in nature, and the findings of this study are valuable for business practitioners and scholars, brand marketers, social media platform owners, opinion leaders and policymakers.

Achieving good sustainability performance requires balancing higher economic profits with better environmental and social performance. Knowledge plays a key role in improving corporate sustainability performance, but this knowledge is becoming increasingly complex, specific and dispersed among many scientific, technological and business actors. Science and technology parks (STPs) are infrastructures designed to host varying types of organizations that can bring together new, disruptive knowledge. Our purpose is to unveil how these spaces can be drivers of sustainability performance for companies.

We test our hypotheses on a longitudinal database of Spanish companies over the period 2009–2016 using structural equation models (SEMs).

This research confirms that a firm’s location in an STP helps improve its sustainability performance, provided that conditions are optimal in the STP. These optimal conditions are based on an abundance of knowledge spillovers available to the firm and the firm’s ability to harness them, especially those of a more disruptive nature, through absorptive capacity.

Results of this study yield implications for academia in the form of future lines of research and practical implications for policymakers and managers of both STPs and the organizations that host them.

若要取得良好的可持續發展績效，我們必須以更佳的環境和社會績效來平衡更高的經濟利潤。知識在改善企業的可持續發展績效上發揮關鍵作用; 但知識對很多科學的、技術性的和商業的參與者來說，變得越來越複雜、特殊和分散。科技園是為集合嶄新而帶有顛覆性知識的各種不同組織提供軟硬體支援而設計的基礎設施。本研究擬顯露這些設施和場地如何能為企業推動其永續發展績效。

我們以結構方程模式、去測試有關涵蓋2009年至2016年期間西班牙企業的縱向數據庫的研究假設。

研究結果確認了只要在科技園內有最優良的環境和條件，企業在園內的位置是有助改善其永續發展績效的。這些最優良環境和條件是基於企業可得到的豐富的知識外溢，以及它們可透過其吸收能力去控制知識外溢的能力，特別是那些具更強顛覆性本質的知識外溢。

研究結果為學術界就未來的研究領域提供了啟示; 研究結果亦為科技園和主辦機構的政策制定者和經理、提供了實務方面的啟示。

This research aims to examine the impact of authoritarian leadership on firm-level voluntary turnover among small and medium-sized enterprises (SMEs) in Thailand and asks whether benevolent leadership can mitigate the adverse impact of authoritarian leadership.

A total of 110 owner-managers of SMEs and 951 employees in Thailand were invited to participate in the study. Tobit regression was used for analyzing aggregated data (i.e. employees' assessment of owner-managers' leadership styles) and firm-level voluntary turnover data provided by SME owner-managers.

The results showed that authoritarian leadership was positively related to voluntary turnover, whereas benevolent leadership was negatively related to voluntary turnover. Furthermore, the relationship between authoritarian leadership and voluntary turnover was moderated by benevolent leadership, such that the highest levels of voluntary turnover rates were observed among firms with high-authoritarian and low-benevolent leaders. In contrast, firms with high-authoritarian and high-benevolent leaders were not necessarily associated with high turnover rates. These results were observed for both the voluntary turnover rates of full-time and part-time employees and the weighted voluntary turnover rate.

These findings suggest that owner-managers of SMEs should take a balanced leadership approach to managing their employees, acting as paternalistic leaders who tread a fine line between being “strict and cold” and being “strict and warm.” They can achieve this by showing care and genuine concern for employees when enacting authority.

While past research has shed important light on the additive and joint effects of authoritarian and benevolent leadership styles on individual-level outcomes, this study contributes to this body of work by being among the first to show that these effects are also isomorphic at the organizational level of analysis.

This study aims to analyse student and teaching staff views on how higher education (HE) can contribute to sustainable development, and to provide examples of how a medical university has adopted the sustainable development goals (SDGs) as part of its institutional strategies and practises.

The study is based on participant views from a conference, which aimed to identify actions needed for HE to contribute to the SDGs. More than 500 students, teachers and academic leaders participated at workshops to discuss and reflect on the role of higher education institutions (HEIs) in sustainable development. The discussion key points were recorded on flipcharts, and the analysis builds on all written statements from the nine workshops. Based on the findings from the workshop, steering documents and activities of a medical university were identified as examples of implementation.

Two overarching interdependent themes were identified and indicated a need to rethink the role not only of HE per se but also that of HEIs at large, to meet the challenges of sustainable development. The study also provides an example of how such organizational change can be practically implemented at a medical university, through the establishment of overarching institutional strategies, funding opportunities and external collaborations.

The findings reflect a “bottom-up” call from students and educational staff for HEIs to step up and contribute to systems change – both through a change in pedagogies, as well as through an institution-wide approach and a shift in the role of HEIs in society.

The study is unique in providing an exemplar of the implementation of sustainable development in HE at a specific medical university.

The research documented in this paper aims to examine multiple factors related to borrowers' default in peer-to-peer (P2P) lending in the USA. This study is motivated by the hypothesis that both P2P loan characteristics and macroeconomic variables have influence on loan performance. The authors define a set of loan characteristics, borrower characteristics and macroeconomic variables that are significant in determining the probability of default and should be taken into consideration when assessing credit risk.

The research question in this study is to find the significant explanatory variables that are essential in determining the probability of default for LendingClub loans. The empirical study is based on a total number of 1,863,491 loan records issued through LendingClub from 2007 to 2020Q3 and a logistic regression model is developed to predict loan defaults.

The results, in line with prior research, show that a number of borrower and contractual loan characteristics predict loan defaults. The innovation of this study is the introduction of specific macroeconomic indicators. The study indicates that macroeconomic variables assessed alongside loan data can significantly improve the forecasting performance of default model. The general finding demonstrates that higher percentage change in House Price Index, Consumer Sentiment Index and S&P500 Index is associated with a lower probability of delinquency. The empirical results also exhibit significant positive effect of unemployment rate and GDP growth rate on P2P loan default rates.

The results have important implications for investors for whom it is of great importance to know the determinants of borrowers' creditworthiness and loan performance when estimating the investment in a certain P2P loan. In addition, the forecasting performance of the model could be applied by authorities in order to deal with the credit risk in P2P lending and to prevent the effects of increasing defaults on the economy.

This paper fulfills an identified need to shed light on the association between specific macroeconomic indicators and the default risk from P2P lending within an economy, while the majority of the existing literature investigate loan and borrower information to evaluate credit risk of P2P loans and predict the likelihood of default.