PurposeThe purpose of the paper is to contribute to the extant sport marketing literature by positing fan engagement, team brand image and cumulative fan satisfaction with the team as factors influencing attitudinal and behavioural soccer (football) fan loyalty, with enduring involvement with the team as a moderator.Design/methodology/approachA convenience sample of Australian A-League soccer fans completed a paper-and-pencil, self-administered survey to evaluate their team on the focal constructs. A total of 207 participants were recruited from a major Australian east-coast university.FindingsUsing partial least squares-structural equation modelling (PLS-SEM), the study found that fan engagement influences both team brand image and cumulative fan satisfaction, while team brand image also influences cumulative fan satisfaction, and both of these constructs influence attitudinal loyalty and behavioural loyalty. The moderating role of enduring involvement was also found for two relationships: team brand image → attitudinal loyalty and team brand image → behavioural loyalty, along with a mediating role of attitudinal loyalty.Originality/valueThis study increases our understanding of the reasons why soccer fans are committed to and exhibit fan-related behaviours for a team, thus contributing to the sports-marketing literature on the relationships amongst fan engagement, team brand image, cumulative fan satisfaction, attitudinal loyalty and behavioural loyalty, along with the moderating role of enduring involvement. The findings also assist sports-marketing practitioners to formulate more effective, fan-centric marketing-communication strategies leading to a larger loyal fan base.

Purpose Neuroimaging technologies such as electroencephalogram and magnetic resonance imaging allow us to analyze consumers’ brains in real time as they experience emotions. These technologies collect and integrate data on consumers’ brains for big data analytics. The purpose of this paper is to identify new opportunities and challenges for neuromarketing as an applied neuroscience. Design/methodology/approach The authors discuss conceptual and methodological contributions of neuromarketing based on studies that have employed neural approaches in market-related investigations, explaining the various tools and designs of neuromarketing research. The authors identify marketing-related questions to which neuroscientific approaches can make meaningful contributions, evaluating several challenges that lie ahead for neuromarketing. Findings The authors summarize the contributions of neuromarketing and discuss synergistic findings that neuromarketing has the potential to yield. Research limitations/implications The authors ask: do consumers’ self-reported choices and their neural representations tell different stories?; what are the effects of subtle and peripheral marketing stimuli?; and can neuromarketing help to reveal the underlying causal mechanisms for perceptual and learning processes, such as motivation and emotions? Practical implications The authors identify marketing-related questions to which neuroscientific approaches can make meaningful contributions, evaluating several challenges that lie ahead for neuromarketing. Originality/value To the best of the authors’ knowledge, no current review has identified avenues for future research in neuromarketing and the emerging challenges that researchers may face. The current paper aims to update readers on what neuroscience and other psychophysiological measures have achieved, as well as what these tools have to offer in the field of marketing. The authors also aim to foster greater application of neuroscientific methods, beyond the more biased/post-test methods such as self-report studies, which currently exist in consumer research.

Will consumers accept artificial intelligence (AI) as a medical care provider? On the basis of evolution theory, we investigate the implicit psychological mechanisms that underlie consumers’ interactions with medical AI and a human doctor. In a behavioral investigation (Study 1), consumers expressed a positive intention to use medical AI's healthcare services when it used personalized rather than mechanical conversation. However, neural investigation (Study 2) using functional magnetic resonance imaging revealed that some consumers’ implicit attitudes toward medical AI differed from their expressed behavioral intentions. The brain areas linked with implicitly apathetic emotions were activated even when medical AI used a personalized conversation, whereas consumers’ brains were activated in areas associated with prosociality when they interacted with a human doctor who used a personalized conversation. On the basis of our neural evidence, consumers perceive an identical personalized conversation differently when it is offered by a medical AI versus a human doctor. These findings have implications for the area of human–AI interactions and medical decision‐making and suggest that replacing human doctors with medical AI is still an unrealistic proposition.

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