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Gathering knowledge regarding personality traits has long been the interest of academics and researchers in the fields of psychology and in computer science. Analyzing profile data from personal social media accounts reduces data collection time, as this method does not require users to fill any questionnaires. A pure natural language processing (NLP) approach can give decent results, and its reliability can be improved by combining it with machine learning (as shown by previous studies).

In this, cleaning the dataset and extracting relevant potential features “as assessed by psychological experts” are essential, as Indonesians tend to mix formal words, non-formal words, slang and abbreviations when writing social media posts. For this article, raw data were derived from a predefined dominance, influence, stability and conscientious (DISC) quiz website, returning 316,967 tweets from 1,244 Twitter accounts “filtered to include only personal and Indonesian-language accounts”. Using a combination of NLP techniques and machine learning, the authors aim to develop a better approach and more robust model, especially for the Indonesian language.

The authors find that employing a SMOTETomek re-sampling technique and hyperparameter tuning boosts the model’s performance on formalized datasets by 57% (as measured through the F1-score).

The process of cleaning dataset and extracting relevant potential features assessed by psychological experts from it are essential because Indonesian people tend to mix formal words, non-formal words, slang words and abbreviations when writing tweets. Organic data derived from a predefined DISC quiz website resulting 1244 records of Twitter accounts and 316.967 tweets.

This paper aims to explore the biodiversity and threatened species extinction reporting of 54 biodiversity-indexed companies on the Indonesia Stock Exchange (IDX). The primary objectives are to explore the rhetoric of biodiversity disclosure as a practice of virtue ethics and to identify instances of emancipatory extinction accounts on the International Union for Conservation of Nature (IUCN) Red List.

The research sample comprised 54 biodiversity-indexed companies on the IDX. A content analysis of the narrative text of their annual and sustainability reports for 2020 was conducted to discern the rhetoric of biodiversity disclosure as an ethical practice using Aristotle’s rhetoric (ethos, logos and pathos). The identification of extinction accounts listed on the IUCN Red List was conducted based on criteria established in the conceptual framework of Atkins and Maroun (2018).

All 54 companies used ethos, logos and pathos in their biodiversity disclosure as a virtuous practice. These disclosures improve the tone of corporate communications and enhance accountability and transparency. Low-profile companies showed a greater propensity for reporting biodiversity disclosures compared to high-profile companies. Additionally, the authors identified 14 companies informing extinction accounts that qualify as emancipatory accounts, with high-profile companies disclosing extinction more frequently than low-profile ones. Emancipatory accounting highlighted species such as turtles, orangutans, elephants, rhinos, turtles and medicinal plants. These accounts are intended as a form of accountability to the species.

The limitation of this research is the observation of annual reports in one period. Future studies can add more observation periods to see the consistency of companies in disclosing biodiversity and extinction.

Companies can adopt the rhetorical strategy of ethos, logos and pathos in disclosing their biodiversity. For policymakers, it is important to establish regulations to encourage companies to disclose biodiversity. The implications for accountants, to contribute more to biodiversity and extinction reporting, considering that previously sustainability accounting reporting was mostly carried out by nonaccountants.

Regarding social implications, emancipatory accounts aimed at preventing the extinction of animals such as birds, orangutans and rhinos will have significant social and natural impacts.

This research represents the first use of Aristotelian rhetoric and virtue to understand biodiversity disclosure as virtue rhetoric and extinction disclosure as emancipatory accounting. This rhetoric is a benevolent persuasion tool that can shape the audience’s thinking and behavior in a more ethical manner concerning biodiversity issues. It provides evidence of the role of accounting as a social and moral practice, which is particularly relevant in the face of a complex reality and increasing concerns, notably regarding the threat of biodiversity loss and extinction.

Low capital market literacy in Indonesian society is the cause of the low investment value in the capital market. It led to the establishment of the Indonesia Stock Exchange (IDX) investment gallery (IG). Its existence as a means of education and socialization is expected to increase capital market inclusion. This study analyzes the impact of the IG’s existence on investment interest in the capital market by taking a sample of West Java as the province with Indonesia’s largest population. The authors find that the public interest in visiting IG increases every year by an average of 38%, this is accompanied by an increase in opening new accounts in the capital market, with an average increase of 48% each year. The statistical tests results show that the greater the number of IGs, the greater the number of transactions in the capital market (p < 0.05). The results of this research can certainly be an input for the IDX to increase the number and activities of IG throughout Indonesia to increase Indonesia’s economy through capital market literacy and inclusion, besides that this research also produces a structured and systematic capital market education model. The research results can also reference countries with developing capital markets to adopt the IDX policies in attracting investors, especially domestic investors.

In this study, the authors examine artificial knowledge as a fundamental stream of knowledge management for sustainable and resilient business models in supply chain management (SCM). The study aims to provide a comprehensive overview of artificial knowledge and digitalization as key enablers of the improvement of SCM accountability and sustainable performance towards the UN 2030 Agenda.

Using the SCOPUS database and Google Scholar, the authors analyzed 135 English-language publications from 1990 to 2022 to chart the pattern of knowledge production and dissemination in the literature. The data were collected, reviewed and peer-reviewed before conducting bibliometric analysis and a systematic literature review to support future research agenda.

The results highlight that artificial knowledge and digitalization are linked to the UN 2030 Agenda. The analysis further identifies the main issues in achieving sustainable and resilient SCM business models. Based on the results, the authors develop a conceptual framework for artificial knowledge and digitalization in SCM to increase accountability and sustainable performance, especially in times of sudden crises when business resilience is imperative.

The study results add to the extant literature by examining artificial knowledge and digitalization from the resilience theory perspective. The authors suggest that different strategic perspectives significantly promote resilience for SCM digitization and sustainable development. Notably, fostering diverse peer exchange relationships can help stimulate peer knowledge and act as a palliative mechanism that builds digital knowledge to strengthen and drive future possibilities.

This research offers valuable guidance to supply chain practitioners, managers and policymakers in re-thinking, re-formulating and re-shaping organizational processes to meet the UN 2030 Agenda, mainly by introducing artificial knowledge in digital transformation training and education programs. In doing so, firms should focus not simply on digital transformation but also on cultural transformation to enhance SCM accountability and sustainable performance in resilient business models.

This study is, to the authors' best knowledge, among the first to conceptualize artificial knowledge and digitalization issues in SCM. It further integrates resilience theory with institutional theory, legitimacy theory and stakeholder theory as the theoretical foundations of artificial knowledge in SCM, based on firms' responsibility to fulfill the sustainable development goals under the UN's 2030 Agenda.