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The purpose of the article is to show the regime of truth in the institutional commissions that have the objective of restoring history by establishing a democratic, equitable, comprehensive, inclusive and fair criterion against the attempts of re-victimization and suppression of memory that Western political and cultural traditions have installed through their mechanisms of power.

Based on the analysis of the cases of Inés Fernández Ortega and Valentina Rosendo Cantú, they establish the material conditions from which prejudices and hegemonic stereotypes are intertwined to reproduce serious violations of human rights in democratic political and epistemic frameworks. The colonial function of the truth commissions in Mexico is analyzed, which are presented as mechanisms for social development, political and colonial reproduction of liberal democracy.

The qualitative results allow considering the way in which the different truth commissions in Mexico have been strongly linked to epistemic mechanisms in which truth and justice favor the reproduction of established relationships based on race, social class and gender. Especially in the so-called democratic transition, violence, truth and justice come together to highlight power relations in situations that have been disavowed by the intelligentsia.

The limitations of the research are found in the historical configuration of the truth commissions in Mexico. The data, references and assessments are crossed by the initial function of the truth commissions and the establishment of apparatuses and mechanisms based on transitional justice. Based on this, it can be considered a methodological oversight to shift the analysis of truth commissions toward a critical assessment of the truth as a regime of government and hegemonic and colonization criteria from two very specific cases.

The originality of the work is found in the critical discernment of truth as a political category and the coloniality of power.

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.

The research aims to applying Baumol’s framework to address some research gaps in the literature. This paper aims to analyze how institutional variations at the subnational level impact entrepreneurship decisions and the path toward productive or unproductive entrepreneurship in an institutionally underdeveloped country. The results offer potentially new theoretical insights and practical implications for developing or emergent countries.

The research applies Baumol’s framework to Mexico’s context. The research collects data compounded by individual- and state-level variables from diverse sources for the 32 Mexican states. The individual level and some controls were obtained from sources of regular frequency, but the institutional variables were derived from surveys of irregular frequency, nonsynchronic and mostly nonoverlapping, which required aligning and centered them around 2016 and 2019 to match with the individual variables. The authors apply multilevel nonlinear mixed-effects probit regression to test nine hypotheses regarding the impact of institutional variables on entrepreneurial decisions and the path toward productive or unproductive entrepreneurship.

Improved formal institutions across the Mexican states reduce the entrepreneurship probability, implying interactions with other variables and indirect effects; encourage the selection of productive entrepreneurship, e.g. formal ventures; and discourage self-employment. Consequently, those institutions do not encourage entrepreneurship selection as an occupation but entrepreneurial quality, i.e. the selection of productive-formal entrepreneurship and larger ventures. Deficient informal institutions increase the entrepreneurship and formal entrepreneurship probabilities, implying the interactions with other variables and indirect effects and supporting the corruption “greases the wheels” hypothesis, consequently encouraging productive ventures. New evidence of the positive relationship between criminality and entrepreneurship types in Mexico is reported.

Our findings indicate important impacts of the individual-level variables on the entrepreneurship decisions and that most of those decisions are potentially necessity driven and a minority are driven by opportunity, given their relationship with the macroeconomic controls and the institutional variables. The authors report mixed results on the relationship between institutions and entrepreneurship partially consistent with the literature; some results contribute additional evidence on controversial hypotheses or imply the existence of indirect effects. Overall, the results suggest that institutions impact the individual decisions to venture and the type of venture consequently affecting the amount and quality of entrepreneurship across states.

The research addresses some of the literature gaps by providing empirical evidence on a middle-income country and how diverging regional institutional contexts, including formal and informal institutions, impact the individual’s entrepreneurship decisions within an institutionally underdeveloped country. The paper contributes new knowledge and insights into entrepreneurship in emerging or developing countries with implications for Baumol’s framework in this context and adds to the debated hypothesis on the relationship between some institutions, e.g. corruption and criminality and entrepreneurship.

Based on this holistic model, the authors propose and analyze seven key issues related to the admissibility of digital media in cross-border trials considering four Latin American countries.

The authors apply the modeling process of the soft systems methodology by Checkland in order to develop a holistic model focused on human situation problems involving digital media and information technology devices or systems.

The authors discuss the status of the identified key issues in each country and offer a perspective on the integration of cross-border work analyzing the contribution of these key issues to the collaboration between countries criminal cases or the use of foreign digital artifacts in domestic trials.

In this study, the authors assumed that the problems of official interaction between agencies of different countries are considered solved. However, for future studies or research, the authors recommend that these issues can be considered as relevant, since they are related to cross-border cooperation topics that will necessarily require unavoidable official arrangements, agreements and formalities.

This work is aimed at defining and analyzing the key issues that can contribute to the application of current techniques and methodologies in digital forensics as a tool to support the legal framework of each country, considering cross-border trials. Finally, the authors highlight the implications of this study lie in the identification and analysis of the key issues that must be considered for digital forensics as a support tool for the admissibility of digital evidence in cross-border trials.

The authors consider that digital forensic will have high demand in cross-border trials, and it will depend on the people mobility between the countries considered in this study.

This paper shows that the soft systems methodology allows elaborating a holistic model focused on social problems involving digital media and informatics devices.

The purpose of this research is to delve into the scientific literature on hotel housekeepers in family hotel businesses to suggest new research directions in this field.

This paper is based on a concise literature review to discuss the past and future of research on family hotel business.

Research on family hotel businesses and the relationships and working conditions of their employees is limited. Most studies are focused on family businesses in general, without specific emphasis on a particular sector, or a specific job within each sector, or the type of company within a sector.

This paper synthesizes existing research on family businesses, particularly family hotel businesses, to delve into work conditions in both fields. It seeks to establish connections with the job conditions of hotel housekeepers as a means of addressing some of the challenges they face in their working environment.

This study aims to investigate how a French multinational enterprise (MNE) is developing employee stock ownership (ESO) in its subsidiaries in Peru and Mexico, both Latin American countries with deep social and economic inequalities.

This is a qualitative case study which conducted interviews with representatives of the French MNE and its subsidiaries in Peru and Mexico.

The employee stock purchase plans offered by the company to its employees support the achievement of the sustainable development goals (SDGs) 1, 8 and 10 in these countries.

The authors argue that MNEs could become flagships in the SDG achievement in emerging economies.

By contributing to better workplace outcomes and enhanced corporate performance, ESO is in line with SDG 8. ESO also fulfills SDGs 1 and 10 by allowing employees to build up savings and wealth, whose lack is the main source of inequality and poverty. Reciprocity and binary economics theories explain these relationships.

The study aims to access, monitor and visualize the scientific progress of Twitter-based research through a bibliometric analysis of scientific publications.

The data was retrieved from 2006 to February 23, 2022 using the Web of Science, a leading indexing and abstracting database. In response to the authors’ query, 6,193 items with 101,037 citations, an average citation of 16.31 and an h index of 126 were received. The “Biblioshiny” extension of the “Bibliometrics” package (www.bibliometrix.org) of R software was used to evaluate and visualize the data.

The present study highlighted the scientific progress of the field evolved over a period of time. The obtained results uncovered the publication trends, productive countries and their collaboration pattern, active authors who nurture the field by making their contribution, prolific source titles adopted by authors to publish the literature on the topic, most productive language in which literature was written, productive institutions, funding agencies that sponsor the research, influential articles, prominent keywords used in publications were also identified which will aid scientists in identifying research gaps in a particular area.

This study comprehensively illustrates the research status of Twitter-related research by conducting a bibliometric analysis. The study’s findings can assist relevant researchers in understanding the research trend, seeking scientific collaborators and funding for their research. Further, the study will act as a ready reference tool for the scientific community to identify research gaps, select research topics and appropriate platforms for submitting their scholarly endeavors.

Between 2006 and 2012, Mexico implemented a “frontal war against organized crime”. This strategy increased criminal violence and triggered negative consequences across the country’s economic, political and social spheres. This study aims to analyse how the magnitude and visibility of criminal violence impact the housing market of Mexico City.

The authors used different violent proxies to measure the effect of the magnitude and visibility of violence in housing prices. The structure of the data set is an unbalanced panel with no conditions of strict exogeneity. To address endogeneity, the authors calculate the first differences to estimate an Arellano–Bond estimator and use the lags of the dependent variable to instrumentalise the endogenous variable.

Results suggest that the magnitude of violence negatively impacts housing prices. Similarly, housing prices are negatively affected the closer the property is to visible violence, measured through narcomessages placed next to the bodies of executed victims. Lastly, housing prices are not always affected when a violent event occurs nearby, specifically, when neighbours or potential buyers consider this event as sporadic violence.

There are only a few studies of violence in housing prices using data from developing countries, and most of these studies are conducted with aggregated data at the municipality or state level. The authors are using geocoded information, both violence events and housing prices, to estimate more disaggregated effects. Moreover, the authors used different proxies to measure different characteristics of violence (magnitude and visibility) to estimate the heterogeneous effects of violence on housing prices.