The purpose of this study was to test whether the priming of a brainstorming task by a persona increases ideational fluency and originality, i.e. the quantitative and qualitative dimensions of creative performance. We conducted a preliminary (n = 18) and final (n = 32) experiment with international students of business. These experiments revealed that priming of brainstorming by a persona increases originality of ideas by a large effect size (Cohen’s d = .91, p = .02), and not significantly ideational fluency by a medium effect size (Cohen’s d = .33, p = .39). As an alternative explanation to empathy, the found creativity effect may be attributed to priming that retrieves related memory items and thereby facilitates idea generation. As practical implications, design thinking practitioners can expect more original ideas and overcome design fixation if they brainstorm on a persona which is modelled in a concise and consistent way that caters to understanding the user need.

Artificial intelligence is already embedded in several digital tools used across design disciplines. Although it offers advantages in automating and facilitating design tasks, this technology has constraints to empowering practitioners. AI systems steadily incorporate machine learning to deliver meaningful designs but fail in critical dimensions such as creativity. Moreover, the intensive use of AI features to provide a design solution – so-called AI design – challenges the boundaries of the design field and designers’ roles. AI-powered logo makers exemplify a horizon where non-designers can access design tools to create a personal or business visual identity. However, in the current context, these online businesses are limited to randomize layout solutions lacking the visual properties a logo requires. This article reports mixed-method research focusing on AI-powered logo makers’ processes and outcomes. We investigated their capability to deliver consistent logo designs and to what extent their algorithms address logo design principles. Initially, our study identified representative visual principles in logo design-related literature. After probing AI-powered logo makers’ features that enable logo creation, we conducted an exploratory experiment to obtain solutions. Finally, we invited logo design experts to evaluate whether three visual principles (proportion, balance and unity) were incorporated into the layouts. The assessment’s results suggest that these AI design tools must calibrate the algorithms to provide solutions that meet expected logo design standards. Even focusing on a particular AI tool and a few visual principles, our research contributes to initial directions for developing algorithms that embody the complex aspects of visual design syntax.

While the relationship between advertising expenditures and sales has been much discussed, whether product market competition affects their relationship has been little examined. We address this question by analyzing the financial performance data of 6,018 companies for 14 years (1997-2011). Our data analysis supports two hypotheses that (1) increasing advertising expenditures increase sales in the subsequent year and that (2) this effect is stronger when the product market competition is high than when it is low. Our findings advance the academic understanding of advertising effect as well as provide practical implications to advertising managers.