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Many organisations, including professional councils, operate manually to ensure document flow to clients and stakeholders. This results in the loss of valuable documentation such as certificates and the incurring of costs due to the returning of post to the sender. The purpose of this study was to explore digital transformation of document flow at the South African Council for Social Science Professionals.

The methodological approach involved qualitative data collected through interviews, observation and document analysis in response to research questions. The study was a participatory action research project that involved collaboration between researchers and study participants in defining and solving the problem through needs assessment exercise. All three phases of participatory action research were followed, namely, the “look phase”: getting to know stakeholders so that the problem is defined on their terms and the problem definition is reflective of the community context; the “think phase”: interpretation and analysis of what was learned in the “look phase” and the “act phase”: planning, implementing, and evaluating, based on information collected and interpreted in the first two phases.

The study identified various issues relating to poor data quality, high rate of registered postal returns and non-delivery electronic messages that cannot reach all the intended recipients and accumulation of data for decades. In this regard, the study proposes a framework that can be used by SACSSP to update and verify their details on the portal, as well as digital certificates for membership.

Although the proposed framework is tailor-made for the professional council, it is not depended on prescribed technologies due to usage of open standards that can be used by industry and researchers. Therefore, it can be applied in other context where institutions such as universities communicate with many clients via postal or courier services.

The study used participatory action research involving the researchers and the organisation to solve the problem. The study presented a workflow that the council can use to ensure that the documents reach intended recipients. Furthermore, digital transformation of the process will ensure that the registered professionals are able to access their certificates online and can print them when necessary.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

The purpose of this study is to investigate the factors affecting the silence of internal auditors. To this end, the impacts of the perceived climate of silence, professional commitment, independence commitment, role conflict and role ambiguity on internal auditor silence have been investigated. Furthermore, the effects of role conflict and role ambiguity through independence commitment on internal auditor silence were investigated.

The statistical population of the study consisted of Iranian internal auditors in 2021. The study used a self-administered survey of 217 internal auditors. In this research, a hierarchical component model in the partial least squares structural equation modeling analysis was used to examine the hypotheses.

The results of testing the hypotheses indicated that the perceived climate of silence and role ambiguity have positive effects, and professional commitment and independence commitment have negative effects on internal auditor silence. Furthermore, role conflict has an insignificant effect on internal auditor silence. In addition, role conflict and role ambiguity affect the internal auditor silence through the independence commitment.

This study examined the factors affecting the internal auditor silence by combining the construct of the perceived climate of silence that has been previously discussed in the field of management with the professional (professional commitment and independence commitment) and role (role conflict and role ambiguity) factors that are discussed in the internal audit profession. To the best of the author’s knowledge, this is the first study that examines the factors affecting internal auditor silence behavior. The importance of conducting this study is that it investigates a phenomenon among internal auditors that conflicts with the mission and origin of internal audit.

Customer relationships and transforming customers into evangelists are imperative in today's world. Therefore, this study aimed to examine the influence of online brand experience (OBE) on brand evangelism (BEM) via relationship quality (trust-TRT, satisfaction-SAT, and commitment-CMT) by integrating the moderating effects of brand reputation (BR), particularly in the Vietnamese banking sector.

This research obtained data from 486 Vietnamese customers who routinely used online banking services. The analysis was performed using structural equation modeling.

The findings demonstrate that OBE directly/indirectly positively affects BEM via relationship quality (TRT, SAT, CMT). Likewise, this study identified relationship quality (TRT, SAT, CMT) as an important mediator. Finally, the findings demonstrate that the moderation effects of BR significantly improved relationship quality (TRT, SAT, CMT) in the banking industry.

This study showcases the significance of OBE in increasing brand evangelists in the financial sector. Thus, this study assists Vietnamese bank managers in creating new branding strategies to foster long-lasting customer relationships.

This original study contributes to the commitment-trust theory and signaling theory by examining the impact of the OBE on brand evangelism via relationship quality by considering the moderating effect of brand reputation in the Vietnamese banking sector.