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Many of us have purchased fair trade products and paid a premium in hopes of improving the lives of farmers in developing countries.

How can we ensure that customers feel comfortable during robot-enabled services? Because why would they otherwise keep using them? With our latest empirical study published in Service Business, we investigate whether human-like service robots make customers feel more or less comfortable. In addition, we investigate to what extent the answer to this question depends on whether the service robot makes a mistake.

Recent accounting scandals, for example the Enron (2001) scandal, Petrobras (2014) scandal and the Wirecard (2019) scandal, emphasize the consequences of untrustworthy financial information. Yet, new data driven audit methods are scarce and not yet widely applied in this industry. Researchers from the University of Amsterdam and KPMG, developed a novel data driven method for financial audits.

Wang defended his PhD thesis, which was completed under the supervision of Prof. Marc Salomon, in June of last year. After 4 years in Amsterdam, he moved to China, where he is now assistant professor of Innovation and Information Management at the University of Hong Kong. Marketing, he states, has in some respects progressed further than other disciplines when it comes to the deployment of machine learning (ML).

Contrary to classical economic theories, people do not make economic decisions that benefit them the most but are biased towards default options. This bias has mostly been explained by how the options are framed. An experimental study by behavioural scientists from the University of Amsterdam now proves that biases are also built when framing is absent, originating from a person's internal state.