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Organisations need to tackle emerging trends that affect business models (BM) by modifying, changing or re‐designing their models. Attending this complex environment by understanding trends and the strategies actors use to handle these competing demands is strategically important for innovation management and sustaining organisations.. Therefore, this study aims to investigate how organisations assess and deal with these complex and relevant challenges.

A total of 18 higher management experts between the ages of 27 and 59 years participated in this four-month qualitative interview-based study. The interviews were analysed by using systematic, qualitative content analysis.

Results showed that all elements of a BM are influenced by emerged trends, and how organisations deal with them can decide whether the impact poses as risk or offers opportunities. Trends trigger two different strategies – reactive and proactive resilience strategies – which are closely related to the change sensitivity of the attributional resilience model, thereby presenting a crucial factor for enhancing resilience. Nevertheless, the proactive resilience strategy seems to be more promising for enhancing organisational resilience regarding the influence of trends on their BM. Moreover, this study found that the usage of foresight methods might be suitable as an important tool for proactive resilience strategy to modification, change or re-design of BM and consequently anticipate trends.

Overall, this study is one of the first that explains how BMs are influenced by trends and how organisations handle them by using organisational resilience strategies.

With the continuous improvement of artificial intelligence (AI) technology, intelligent personal assistants (IPAs) based on AI have seen unprecedented growth. The present study investigates the effect of anthropomorphism on cognitive and emotional trust and the role of interpersonal attraction in the relationship between anthropomorphism and trust.

A structural equation modeling technique with a sample of 263 consumers was used to analyze the data and test the conceptual model.

The findings illustrate that the anthropomorphism of IPAs did not directly induce trust. Anthropomorphism led users to assign greater social attraction and task attraction to IPAs, which in turn reinforced cognitive or emotional trust in these assistants. Compared with task attraction, social attraction was more powerful in strengthening both cognitive trust and emotional trust. The present study broadens the current knowledge about interpersonal attraction and its role in AI usage by examining two types of interpersonal attraction of IPAs.

As trust plays an important role in the rapid development of human–computer interaction, it is imperative to understand how consumers perceive these intelligent agents and build or improve trust. Prior studies focused on the impact of anthropomorphism on overall trust in AI, and its underlying mechanism was underexplored. The findings can help marketers and designers better understand how to enhance users' trust in their anthropomorphic products, especially by increasing social interactive elements or promoting communication.