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This review aims to provide synoptic documentation on acclaimed anecdotal plant-based remedies used by Latin America and the Caribbean (LAC) communities to manage COVID-19. The theoretical approaches that form the basis for using the anecdotally claimed phytotherapies were reviewed against current scientific evidence.

In this paper plant-based remedies for managing COVID-19 were searched on social and print media to identify testimonies of people from different communities in LAC countries. Information was extracted, evaluated and reviewed against current scientific evidence based on a literature search from databases such as Journal Storage (JSTOR), Excerpta Medica Database (EMBASE), SpringerLink, Scopus, ScienceDirect, PubMed, Google Scholar and Medline to explore the scientific basis for anecdotal claims.

A total of 23 medicinal plants belonging to 15 families were identified as phytotherapies used in managing COVID-19 in LAC communities.

The plant-based remedies contained valuable phytochemicals scientifically reported for their anti-inflammatory, antiviral, antioxidant and anticancer effects. Anecdotal information helps researchers investigate disease patterns, management and new drug discoveries. The identified acclaimed plant-based remedies are potential candidates for pharmacological evaluations for possible drug discovery for future pandemics.

The authors discuss the implications of the recent United States Supreme Court decision in Dobbs v. Jackson and its impact on employees and employers. Although several employers issued public statements regarding the provision of abortion-related benefits, the authors highlight some of the obstacles to their implementation.

With a focus on employee wellbeing, the authors discuss the obstacles in implementing abortion care benefits.

While it is encouraging to see many organizations make public statements in support of abortion rights, the authors temper their enthusiam with questions about practicality.

Based on the research on hidden stigmas and the job demands-resources model, the authors argue that employees who need to use abortion-related benefits may be unlikely to seek them.

The authors highlight some unanswered questions relating to the requesting and granting of abortion healthcare benefits.

The Dobbs decision takes away rights. While the authors applaud organizations’ efforts to restore them, facilitating access to an abortion in other states is quite complicated.

Although abortions are very common, very little organizational research has addressed the topic. In light of the Dobbs v. Jackson decision, the paper raises some timely questions about employer-sponsored abortion healthcare.

The purpose of this paper is to propose a process mining approach to help in making early predictions to improve students’ learning experience in massive open online courses (MOOCs). It investigates the impact of various machine learning techniques in combination with process mining features to measure effectiveness of these techniques.

Student’s data (e.g. assessment grades, demographic information) and weekly interaction data based on event logs (e.g. video lecture interaction, solution submission time, time spent weekly) have guided this design. This study evaluates four machine learning classification techniques used in the literature (logistic regression (LR), Naïve Bayes (NB), random forest (RF) and K-nearest neighbor) to monitor weekly progression of students’ performance and to predict their overall performance outcome. Two data sets – one, with traditional features and second, with features obtained from process conformance testing – have been used.

The results show that techniques used in the study are able to make predictions on the performance of students. Overall accuracy (F1-score, area under curve) of machine learning techniques can be improved by integrating process mining features with standard features. Specifically, the use of LR and NB classifiers outperforms other techniques in a statistical significant way.

Although MOOCs provide a platform for learning in highly scalable and flexible manner, they are prone to early dropout and low completion rate. This study outlines a data-driven approach to improve students’ learning experience and decrease the dropout rate.

Early predictions based on individual’s participation can help educators provide support to students who are struggling in the course.

This study outlines the innovative use of process mining techniques in education data mining to help educators gather data-driven insight on student performances in the enrolled courses.

This paper aims to demonstrate gender diversity in the structure of corporate governance and test the effect of diversity on the firm performance suffering from financial distress.

The paper is quantitative using a sample of 467 public firms in Indonesia. Data were analyzed into statistics descriptive and the hypothesis was tested using the test of logistic regression.

The preliminary results of the paper demonstrate the number of firms employing women and men in the structure of corporate governance of 13% on the commissioner board, 7% on the director board and 5% on the audit committee. Based on the test of effect, this paper further found that firms employing women and men (gender diversity) in the structure of the board of commissioners, tend to suffer from financial distress lower than firms only employing men (non-gender diversity).

This paper is not an effort to make the proportion of voices of women equal to men, however the representation of women at least exists in the structure of corporate governance as part of workforce diversity and inclusivity. In addition, this paper is considered not to use panel data with the purpose of avoiding repetitive data because of the use of a nominal scale in the logistic regression model.

The finding of the paper is addressed to deliver insights into the current conversation on the issue of women's day with the theme of Each for Equal and to firms in positioning women in the structure of boardrooms.

This paper extends the limited scholarly work on the nexus between gender diversity and financial performance. The framework of social identity theory and the tenet of corporate governance are elaborated to disclose the finding that firm shareholders tend to benefit from gender diversity in the structure of the commissioner board.

The purpose of this paper is to explore how the communication of corporate social responsibility (CSR) contributes towards a favourable corporate reputation. It explores the communication strategies and channels organisations deemed reputable by stakeholders use to achieve an effective CSR communication.

To achieve this, a qualitative content analysis using the directed approach was conducted on the textual CSR communication materials of ten reputable organisations in South Africa based on the 2018 South Africa Reptrak survey.

Result showed that seven out of ten organisations use both self-serving and society-serving motive in their CSR communication, while the other 3 use only the society serving motive. The informing strategy was also more evident in the CSR communication materials than the interactive strategy. In terms of the communication channels, the study found that organisations mainly utilise controlled channels for CSR communication.

The literature reviewed and the findings of this study reveal a gap between the theory and practice of CSR communication. This drives the need for organisations to research and tailor CSR communication based on stakeholders' unique characteristics and preferences. The paper also contributes to improving the knowledge on the role different CSR communication strategies and channels play in CSR communication.