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This paper examines thematic discourses concerning business and the Sustainable Development Goals (SDGs) on X (formerly Twitter), aiming to uncover active user groups and evaluate engagement levels across various topics. The study also explores the engagement patterns among different user categories, ultimately seeking deeper insights into platform discourse regarding business and the SDGs.

Utilizing unsupervised machine learning technique Latent Dirichlet Allocation (LDA), we perform exploratory topic modeling on X data referencing business and the SDGs, generating 16 thematic clusters. Subsequently, we analyze user descriptions to categorize users involved in these discussions. Finally, we employ binomial logit models to assess the relationship between topics and engagement and chi-squared test to evaluate the relationship between users and topics.

The exploratory research identifies 16 business and SDG topics, while the analysis of users reveals 6 stakeholder groups contributing to these discussions. Business groups emerge as the most frequent contributors, posting on topics related to partnership, action advocacy, and economic outcomes. Topics about updates on progress and transformative initiatives garnered strongest support for engagement.

This research not only sheds light on the current state of business and SDG discourse on X, but also underscores the significance of engaging external stakeholders in driving positive social change globally.

By distinguishing between types of institutional constraints based on their susceptibility to bribery, this study aims to highlight the different mechanisms through which institutions influence bribery and export intensity. This work highlights the susceptibility of institutional constraints as a key consideration in understanding how bribery influences institutions and has implications for export intensity.

This study utilizes firm-level data from World Bank Enterprise Surveys using a fractional logit estimation method.

An analysis of firm-level data from 26 emerging economies shows support for a positive relationship between permit constraints and firm-level bribery payments. In addition, results provide partial support for a negative relationship between firm-level bribery payments and export intensity. Finally, this study finds partial support for the strengthening impact of financial constraints on the negative relationship between bribery payments and export intensity. However, contrary to our expectations, results indicate that tax rate constraints can weaken the relationship between bribery payments and exports.

This work contributes to international business literature by analyzing how home market institutions influence firms' export intensity. In addition, the study contributes to corruption research by highlighting the importance of heterogeneous susceptibility of formal institutional constraints to bribery. The focus on bribery responds to calls for work on firm misbehavior in international business.