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Corporate Reputation of Companies on Twitter Seen from a Sustainability Perspective

Corporate reputation is becoming increasingly important for firms; social media platforms such as Twitter are used to convey their message. In this paper, corporate reputation will be assessed from a sustainability perspective. Using sentiment analysis, the top 100 brands of the Netherlands were scraped and analyzed. The companies were registered in the sustainable industry classification system (SICS) to perform the analysis on an industry level. A semantic search tool called Open Semantic Desktop Search was used to filter through the data to find keywords related to sustainability and corporate reputation. Findings show that companies that tweet more often about corporate reputation and sustainability receive overall a more positive sentiment from the public.

Reputation Effects in Socially Driven Sharing Economy Transactions

Reputation has often been proposed as the central mechanism that creates trust in the sharing economy. However, some sharing platforms that focus primarily on social rather than economically driven exchanges have managed to facilitate exchanges between users without the use of a reputation system. This could indicate that socially driven exchanges are in less need of reputation systems and that having sufficient trust is less problematic. We examine the effect of seller reputation on sales and price as proxies for trust, using a large dataset from a Dutch meal-sharing platform. This platform aims to stimulate social interactions between people via meal sharing. Multilevel regression analyses were used to test the association of reputation with trust. Our main empirical results are that reputation affects both sales and price positively, consistent with the existing reputation literature. We also found evidence of the presence of an information effect, i.e., the influence of reputation on sharing decreases when additional profile information is provided (e.g., a profile photo, a product description). Our results thus confirm the effectiveness of reputation in more socially driven exchanges also. Consequently, platform owners are advised to use reputation on their platform to increase sharing between its users.

A company’s corporate reputation through the eyes of employees measured with sentiment analysis of online reviews

Regaining the organisational trust in the fossil fuel industry

Electronic book. Book of Abstracts of the 26th International Public Relations Research Symposium BledCom on the theme Trust and Reputation. Trust is a foundation of social (and organizational) order and also serves as the underpinning of healthy relationships, exchanges and transactions. There is a growing concern globally that social and organizational trust is eroding, and that it has become harder for organizations to build and protect relationships with stakeholders many of whom themselves seem to be in conflict. Digitalization and globalization have contributed significantly to changing the world order, leaving many people confused, disoriented and perhaps even scared.

Sentiment polarity classification of corporate review data with a bidirectional Long-Short Term Memory (biLSTM) neural network architecture

A considerable amount of literature has been published on Corporate Reputation, Branding and Brand Image. These studies are extensive and focus particularly on questionnaires and statistical analysis. Although extensive research has been carried out, no single study was found which attempted to predict corporate reputation performance based on data collected from media sources. To perform this task, a biLSTM Neural Network extended with attention mechanism was utilized. The advantages of this architecture are that it obtains excellent performance for NLP tasks. The state-of-the-art designed model achieves highly competitive results, F1 scores around 72%, accuracy of 92% and loss around 20%.

Coping with immersive negative employer ratings: An employee perspective

Online reputation systems (ORS) are platforms that collect and share feedback about products, services, or companies, primarily focusing on consumer reviews. However, employee rating platforms, a subset of ORS, allow workers to review their employers, providing valuable insights for job seekers and current employees. These reviews, often neglected in research, can significantly impact employees' perceptions and workplace dynamics by revealing hidden opinions and experiences. This study explores how employees manage the fear of interpersonal conflict arising from negative reviews and its effects on turnover intentions and recovery. Theoretical analysis utilizes the transactional model of stress and coping to understand these dynamics.