Consumers' appraisals of brand-related stimuli originating from both marketer-and non-
marketer-controlled sources of information may evoke negative emotional reactions toward …

When seeing algorithms err, we trust them less and decrease using them compared to after
seeing humans err; this is called algorithm aversion. This paper builds on the algorithm …

This paper examines how country of origin, in particular country of manufacture (COM),
impacts the assessment of blame by observers to a product-harm crisis when information is …

The brand relationship literature shows that the humanizing of brands and products
generates more favorable consumer attitudes and thus enhances brand performance …

Publisher's description: What do Coca-Cola, McDonalds, IBM, Microsoft and Virgin have in
common? Yes, they are all global giants striding successfully across the world, but what they …

Algorithm aversion is an important and persistent issue that prevents harvesting the benefits
of advancements in artificial intelligence. The literature thus far has provided explanations …

When viewing advertisements, consumers must decide what to believe and what is meant to
deceive. Accordingly, much behavioral research has explored strategies and outcomes of …

To counter the negative effects of a product-harm crisis, brands hope to capitalize on their
equity, and often use advertising as a communication device to regain customers' lost trust …

When a focal firm undergoes a product-harm crisis, nonfocal firms offering similar products
or services can suffer from a negative spillover effect, but can also benefit from customers …

Artificial intelligence (AI) is rapidly reconstructing consumer experiences with brands in
recent years. However, there have been the unsettled debates on whether humans react to …