Nina Krey

Purpose: This study examines the relationship between artificial intelligence (AI) and bias in banking and financial services. It identifies key themes and research patterns by analyzing publication trends, citations and author influence through bibliometric analysis, and by exploring theoretical foundations, methodologies and empirical designs through a systematic literature review. Design/methodology/approach: This study adopts a two-phase mixed-method design combining bibliometric analysis with a systematic literature review to examine AI bias in banking and financial services. We analyze 65 peer-reviewed articles published between 2011 and 2025 in A or A* journals listed in the Australian Business Deans Council ranking. Findings: Results from a bibliometric analysis reveal an increase in publication output in recent years, indicating the continued importance of this topic. Moreover, emerging topics such as cryptocurrency and blockchain reflect a shift toward ethical AI applications in financial decision-making. Results from the systematic literature review reveal four major themes, including AI as a strategic infrastructure for digital transformation, human–algorithm interaction and the duality of algorithmic opacity, fairness frameworks and responsible AI governance, and behavioral finance in the age of AI and machine learning (ML). Finally, the article introduces a comprehensive future research agenda outlining not only research questions but also proposed methodologies within each of the four themes. Originality/value: This research is among the first to synthesize perspectives on cognitive and algorithmic bias within the context of AI adoption in banking and financial services. This study provides a comprehensive overview of the intellectual, theoretical and methodological development of the field by combining bibliometric and systematic literature review approaches. It gives a conceptual roadmap for future research on fairness-by-design, bias-aware governance and the ethical implementation of AI in financial ecosystems.

Drawing on cognitive science research, this study explores mental time travel and its elicitation through digital product displays. Specifically, we examine how digital product displays elicit mental time travel to the past and future and how this cognitive process positively influences three purchase‐oriented outcomes: inspiration to purchase, booking intention, and willingness to pay. We test these effects across three studies using distinct digital product displays spanning three product categories and contexts: a low‐involvement fast‐moving consumer good (snack food), a high‐involvement experiential travel product (cruise ship), and a hedonic, symbolic food and beverage product (wine). Results from Study 1 demonstrate that mental time travel to the past positively influences future mental time travel and, in turn, enhances inspiration to purchase. Study 2 focuses on future mental time travel and shows that it positively affects booking intention. Across Studies 1 and 2, we further examine immersion as a boundary condition and find no evidence that it alters the proposed relationships. Study 3 extends these findings by showing that mental time travel positively influences willingness to pay and reveals a novel moderating effect of brain plasticity, such that habitual fiction engagement strengthens the impact of future mental time travel on willingness to pay. Finally, results across all three studies highlight the mediating role of future mental time travel in linking mental time travel to the past with all three purchase‐oriented outcomes examined.

Purpose: This study explores how initial exposure to immersive spatial computing experiences using AR headsets generates lasting inspiration and shapes consumers expected long-term life consequences (i.e., enhancement of reality, perceived substitutability and social impact). Design/methodology/approach: The study uses a time-lagged research design based on 148 first-time users of spatial computing devices (AR headsets). Respondents were interviewed once shortly after being exposed to AR and a few days later. Data is analyzed using partial least squares structural equation modeling (PLS-SEM). Findings: Users' immediate “inspired-by” experiences predict increased “inspired-to” intentions days later. Such inspiration translates into anticipated consequences such as virtually customizing their physical environments, substituting physical products with AR content, and influencing social relationships with other users. Research limitations/implications: The current research focuses on positive life outcomes for consumers. However, the ubiquitous and pervasive use of AR may also lead to negative, undesired effects. Practical implications: The study demonstrates that AR experiences can produce detectable effects long after initial exposure and underscores that AR adoption results from the synergy of hardware and content, providing insights for future research in immersive spatial computing technologies. Originality/value: The current research is one of the first to study AR users over time. Drawing on inspiration theory, findings show that an initial exposure to spatial computing through AR can have lasting effects when consumers think about how these technologies could impact their lives.

Purpose: Augmented reality (AR) and virtual reality (VR), broadly referred to as extended reality (XR) technologies, offer consumers highly engaging experiences that can transform their interactions with firms and their offerings. While over 16 years of research has explored these technologies, a comprehensive review is lacking. This study assesses how XR research in marketing has evolved over time and internationally. Design/methodology/approach: This study applies different bibliometric analysis techniques and conducts a systematic literature review covering 379 articles published from 2009 to 2024 in peer-reviewed journals with a marketing focus. Findings: Novel insights relating to publication and citation trends, influential journals and publications, authorship trends, most productive countries, and keywords are found. In addition, commonly used theories, methodologies, variables, and research designs are discovered. Furthermore, an assessment of different types of XR experiences and technologies provides unique international insights. Originality/value: This research is the first to comprehensively review both AR and VR research across all potential marketing applications rather than a specific usage context or industry. As a result, it proposes numerous directions for future research within the XR domain.

Purpose: The current study explores two distinct augmented reality (AR) experiences (hedonic and utilitarian) to determine the drivers of satisfaction and word-of-mouth (WOM). Specifically, this research investigates how different AR characteristics (person–virtual environment (VE) interaction, novelty) impact reality congruence and immersion, which ultimately lead to satisfaction and WOM.Design/methodology/approach: We tested the proposed model using a US consumer sample (N = 401) by applying partial least squares structural equation modeling (PLS-SEM) to reveal differences across the AR experiences regarding the mediating effects of immersion and reality congruence. Furthermore, we administered PLS-SEM multigroup analysis to identify differences for hedonic and utilitarian AR experiences.Findings: This study provides important insights into the use of AR to create value-driven consumer experiences and outcome behaviors. Interacting with the virtual environment (VE) enhances immersion for hedonic AR experiences while it leads to higher levels of reality congruence for utilitarian AR experiences. While established relationships such as novelty to immersion continue to be significant, new constructs such as person–VE interaction and reality congruence immerge as stronger influences.Originality/value: To date, most studies have implemented apps such as IKEA Place and have considered value as one comprehensive construct. However, limited research has examined differences in hedonic and utilitarian AR experiences. The current findings enhance the understanding of utilizing value-driven consumer experiences within the AR context to achieve desirable outcome behaviors.

While discourse on technology and consumer well‐being has been at the forefront of academics' and practitioners' agendas, the theoretical understanding of the complex interplay between technology and consumer well‐being has remained tenuous. To address this gap in our understanding of technology's influence on consumer well‐being, this research provides a comprehensive literature review of recent articles published in Psychology & Marketing. Findings indicate a double‐edged sword where technology has the propensity to not only foster a state of negative well‐being but can also enhance consumers' well‐being. Additionally, a technology well‐being paradox is uncovered whereby technology is used to manage the negative effects of technology use. Accordingly, we introduce the Technology and Consumer Well‐being Paradox Model that incorporates technology's propensity to enhance, diminish, and manage eudaimonic and hedonic consumer well‐being. Furthermore, the influence of the purpose of technology use and changes to consumer well‐being over time with technology use are also considered. Finally, we provide pertinent avenues for future research to further understanding on the technology and consumer well‐being paradox.

Drawing on cognitive science research, this study presents mental time travel experiences to the marketing literature and explores their value to brands. Specifically, we examine how marketing stimuli can be used to elicit mental time travel experiences and the impact these experiences have on important brand outcomes including purchase intentions, word of mouth, loyalty intentions, and learning. We do so with two studies using branded experiences from two marketing campaigns across four different conditions: augmented reality, a 360° website, a video, and a static image. Results identify positive episodic memories as an important primer of mental time travel experiences and that mental time travel to the past is a key factor to influencing purchase intentions, word of mouth, loyalty intentions, and learning. We also show that cognitive load can have an inhibiting effect on mental time travel's ability to influence purchase intentions, word of mouth, and loyalty intentions. Finally, we demonstrate that a state of immersion can enhance mental time travel's ability to influence learning.