ORCID Profile
0000-0003-3533-1128
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Elsevier BV
Date: 06-2019
Publisher: Wiley
Date: 29-09-2018
DOI: 10.1111/BJET.12589
Publisher: SAGE Publications
Date: 04-06-2015
Abstract: Student engagement is an ongoing concern for educators because of its positive association with deep learning and educational outcomes. This article tests the use of a social networking site (Facebook) as a tool to facilitate asynchronous learning opportunities that complement face-to-face interactions and thereby enable a stronger learning ecosystem. This student-centered learning approach offers a way to increase student engagement and can have a positive impact on academic outcomes. Using data from a longitudinal quasi-experiment, the authors show that students who participated in both face-to-face on-c us classes and asynchronous online learning opportunities were more engaged than students who only attended face-to-face classes. In addition, the findings show that participation in the asynchronous setting relates significantly and positively to students’ academic outcomes (final grades). The findings have notable implications for marketing education.
Publisher: SAGE Publications
Date: 22-09-2021
DOI: 10.1177/18393349211046633
Abstract: The integration of sustainability within luxury brands is of increasing concern to practitioners and academics alike. Thus, it is important to consider how brands can develop effective communication strategies to promote sustainable luxury brands, particularly among an increasingly skeptical consumer base. This research thus investigates the impact of advertising slogans with negations (vs. affirmations) in this regard. Three experimental studies show that advertising slogans with negations (vs. affirmations) increase brand trustworthiness (Studies 1 and 3) and favorable brand attitudes (Studies 1 and 2) among consumers with high levels of skepticism. Notably, this effect is driven by an increased cognitive flexibility (Study 3). The findings of this research can assist sustainable luxury brand managers in developing effective communication strategies to increase favorable consumer responses to sustainable luxury brands.
Publisher: Wiley
Date: 11-08-2015
DOI: 10.1002/MAR.20829
Publisher: Informa UK Limited
Date: 02-01-2020
Publisher: Elsevier BV
Date: 05-2023
Publisher: Elsevier BV
Date: 09-2020
Publisher: Emerald
Date: 05-04-2022
DOI: 10.1108/IJBM-09-2021-0438
Abstract: This paper aims, first, to examine artificial intelligence (AI) vs human delivery of financial advice second, to examine the serial mediating roles of emotion and trust between AI use in the financial service industry and their impact upon marketing outcomes including word of mouth (WOM) and brand attitude and third, to examine how political ideology moderates' consumers' reactions to AI financial service delivery. A review of the extant literature is conducted, yielding seven hypotheses underpinned by affect-as-information theory. The hypotheses are tested via three online scenario-based experiments ( n = 801) using Process Macro. The results of the three experiments reveal consumers experience lower levels of positive emotions, specifically, affection, when financial advice is provided by AI in comparison to human employees. Secondly, across the three experiments, conservative consumers are shown to perceive somewhat similar levels of affection in financial advice provided by AI and human employees. Whereas liberal consumers perceive significantly lower levels of affection when serviced by AI in comparison to conservatives and human employee financial advice. Thirdly, results reveal affection and trust to be serial mediators which explain consumers' WOM and brand attitudes when financial services are provided by AI. Fourthly, the investment type plays an important role in consumers’ reactions to the use of AI. To the best of the authors’ knowledge, this research is one of the first to study political ideology as a potential moderator of consumers’ responses to AI in financial services, providing novel contributions to the literature. It further contributes unique insights by examining emotional responses to AI and human financial advice for different amounts and types of investments using a comprehensive approach of examining both valence and discrete emotions to identify affection as a key explanatory emotion. The study further sheds insights relating to how emotions (affection) and trust mediate the relationship between AI and WOM, and brand attitudes, demonstrating an affect-attitude psychological sequence that explains consumers’ reactions to AI in financial services.
Publisher: Elsevier BV
Date: 07-2019
Publisher: Emerald
Date: 17-05-2022
DOI: 10.1108/IJBM-09-2021-0439
Abstract: This research set out to examine how financial advice provided by a human advisor (vs robo-advisor) influences investment intentions in a retail banking context. In two experiments, between-subjects experimental designs were employed to test the primary hypothesis and identify the underlying causal mechanisms that influence consumer investment decisions. The results from two experiments indicate consumers have more belief in financial advice provided by a human financial advisor (vs robo-advisor), when the level of involvement is high. The authors also identify customer belief in the information and the customer's perception of the bank's “customer focus” as the causal mechanisms that have downstream effects on investment intentions. This research is the first to examine how financial advice received from a human advisor (vs robo-advisor) influences investment intentions in a retail banking context. Furthermore, this research identifies high involvement as a key boundary condition moderating the effects on investment intention and identifies consumer belief in the advice, as well as the bank's perceived level of customer focus as the causal mechanisms influencing investment intentions.
No related grants have been discovered for Gavin Northey.