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Branding has arguably been the most crucial marketing pillar in the twentieth century. It was effective because of existing consumer behavior, which was constrained by the availability of information and customers’ ability to process it, resulting in a reliance on brands. This paper aims to examine the role of branding (and brand loyalty) in the past and how it has been disrupted recently, and makes recommendations for practicing managers to modify how they manage brands proactively.

This work is based on a review of the latest developments in the theory and practice of branding.

Today, ready access to smartphones ensures the availability of information tailored to customer needs, directing them in making choices. Improvements in the quality of artificial intelligence (AI)-driven algorithms further simplify customer purchase decisions and reduce search costs – a blow to branding. The data, which forms the foundation for information sought by customers and AI algorithms, continues to increase as more buyers leave their digital footprints, resulting in a virtuous self-precipitating cycle of better decision-making for customers and compromising the influence of brands.

To the best of authors’ knowledge, this is the first paper to focus on the implications of changes in the marketplace driven by smartphones and AI on the future of branding.

In spite of the merits of artificial intelligence (AI) in marketing and social media, harm to consumers has prompted calls for AI auditing/certification. Understanding consumers’ approval of AI certification entities is vital for its effectiveness and companies’ choice of certification. This study aims to generate important insights into the consumer perspective of AI certifications and stimulate future research.

A literature and status-quo-driven search of the AI certification landscape identifies entities and related concepts. This study empirically explores consumer approval of the most discussed entities in four AI decision domains using an online experiment and outline a research agenda for AI certification in marketing/social media.

Trust in AI certification is complex. The empirical findings show that consumers seem to approve more of non-profit entities than for-profit entities, with the government approving the most.

The introduction of AI certification to marketing/social media contributes to work on consumer trust and AI acceptance and structures AI certification research from outside marketing to facilitate future research on AI certification for marketing/social media scholars.

For businesses, the authors provide a first insight into consumer preferences for AI-certifying entities, guiding the choice of which entity to use. For policymakers, this work guides their ongoing discussion on “who should certify AI” from a consumer perspective.

To the best of the authors’ knowledge, this work is the first to introduce the topic of AI certification to the marketing/social media literature, provide a novel guideline to scholars and offer the first set of empirical studies examining consumer approval of AI certifications.

The purpose of this study is to investigate consumers' emotional responses to artificial intelligence (AI) defeating people. Meanwhile, the authors investigate the negative spillover effect of AI defeating people on consumers' attitudes toward AI companies. The authors also try to alleviate this spillover effect.

Using four studies to test the hypotheses. In Study 1, the authors use the fine-tuned Bidirectional Encoder Representations from the Transformers algorithm to run a sentiment analysis to investigate how AI defeating people influences consumers' emotions. In Studies 2 to 4, the authors test the effect of AI defeating people on consumers' attitudes, the mediating effect of negative emotions and the moderating effect of different intentions.

The authors find that AI defeating people increases consumers' negative emotions. In terms of downstream consequences, AI defeating people induces a spillover effect on consumers' unfavorable attitudes toward AI companies. Emphasizing the intention of helping people can effectively mitigate this negative spillover effect.

The authors' findings remind governments, policymakers and AI companies to pay attention to the negative effect of AI defeating people and take reasonable steps to alleviate this negative effect. The authors help consumers rationally understand this phenomenon and correctly control and reduce unnecessary negative emotions in the AI era.

This paper is the first study to examine the adverse effects of AI defeating humans. The authors contribute to research on the dark side of AI, the outcomes of competition matches and the method to analyze emotions in user-generated content (UGC).

Since the development of the COVID-19 vaccinations, questions surrounding race have been prominent in the literature on vaccine uptake. Early in the vaccine rollout, public health officials were concerned with the relatively lower rates of uptake among certain racial/ethnic minority groups. We suggest that this may also be patterned by racial/ethnic residential segregation, which previous work has demonstrated to be an important factor for both health and access to health care.

In this study, we examine county-level vaccination rates, racial/ethnic composition, and residential segregation across the U.S. We compile data from several sources, including the American Community Survey (ACS) and Centers for Disease Control (CDC) measured at the county level.

We find that just looking at the associations between racial/ethnic composition and vaccination rates, both percent Black and percent White are significant and negative, meaning that higher percentages of these groups in a county are associated with lower vaccination rates, whereas the opposite is the case for percent Latino. When we factor in segregation, as measured by the index of dissimilarity, the patterns change somewhat. Dissimilarity itself was not significant in the models across all groups, but when interacted with race/ethnic composition, it moderates the association. For both percent Black and percent White, the interaction with the Black-White dissimilarity index is significant and negative, meaning that it deepens the negative association between composition and the vaccination rate.

The analysis is only limited to county-level measures of racial/ethnic composition and vaccination rates, so we are unable to see at the individual-level who is getting vaccinated.

We find that segregation moderates the association between racial/ethnic composition and vaccination rates, suggesting that local race relations in a county helps contextualize the compositional effects of race/ethnicity.

Football is a popular sport among young people across Africa, incited by the heavy presence of European football that has become central to youth cultures, everyday social routines, forms of consumption and opportunities for establishing social status. A growing body of evidence suggests increasing trends in harmful gambling behaviours in African youth, while the proliferation of football betting particularly remains a critical potential risk for negative mental health outcomes among young people in Sub-Saharan Africa. This chapter draws on original empirical data from a web-based cross-sectional survey to examine the prevalence estimates and associations of socio-demographic and behavioural factors with football betting among young adults attending university in Ghana. It draws on a multivariable logistic regression model to assess the associations with football betting. Our findings point not only to the growing salience of football betting among male demographics, but also the role of peer culture, alcohol and media as predominant sources of participants' initiation of football betting. Moreover, participants indicated the motive ‘to make money’ as their single major motivation, which raises the prospect that football betting is used as a means to mitigate the adverse effects of unemployment. Overall, the study points to a need for harm prevention strategies that align more closely with public health approaches focused on students, their families, their communities and their universities/schools.

Evidence is lacking as to the superiority of dual-focused versus single-focused approaches in treating depression and alcohol use comorbidity. Different people may also value the different features of treatment options differently, necessitating a decision-support tool. This study aims to test the acceptability, feasibility, safety and potential usefulness of the Alcohol and Depression Decision-Aid for Psychological Treatments (ADDAPT).

ADDAPT was developed according to International Patient Decision-Aid Standards and in consultation with potential end users. Adults with depression and alcohol use comorbidity, who were considering/recently considered psychological treatments, were recruited via online advertisements. After clicking on the study URL, participants accessed the ADDAPT e-book and completed validated and purpose-designed questionnaires.

Of the 24 participants, most would recommend ADDAPT to others (79.2% agree) and endorsed it as easy-to-use (75%), useful in decision-making (79.2%), presenting balanced (87.5%), up-to-date (91.7%), easy-to-understand (79.2%) and trustworthy information (83.3%), which did not provoke anxiety (i.e. safety; 75%). Post-use, participants felt well prepared to decide on treatment (M = 3.48/5) and demonstrated good treatment knowledge (M = 65.83%). All but one participant indicated a treatment choice supported by best available evidence, and decisional conflict scores except for the uncertainty subscale were below the threshold for decisional delay (all M < 37.5/100).

ADDAPT is the first decision-aid of its kind, with pilot findings supporting its acceptability, feasibility, safety and potential usefulness for improving decision-making quality among people considering psychological treatment options for depression and alcohol use comorbidity.

This paper examines the experiences of a team of female academics (teaching a large cohort of undergraduate students) and the coping mechanisms used to combat the challenges they confront in the Australian higher education sector.

Using a reflective autoethnographic method and strengths perspective, the authors share experiences as female professionals whose intersectional identities presented challenges that extend beyond those typically found in the current higher education setting.

The individualized nature of academic work exacerbates the systemic marginalization of female academics. Adopting a flock culture serves as a support network for addressing the various intersectional challenges. The authors liken the “flock cultural approach” to a “sisterhood” where individuals impacted by intersectional challenges build a strong and cohesive unit to support each other by utilizing their combined strengths to create positive synergy to cope with ongoing workplace challenges.

The study highlights the benefit of the strengths perspective to understand how female academics with intersectional identities can overcome the challenges of their highly individualized profession.

This paper highlights the importance of building team-based work, cultivating collective achievement and high trust in a highly individualistic profession.

Using the strength perspective, the authors disrupt the conventional and currently narrow usage of sisterhood to help develop strong, adaptive, flexible and responsive bonds among diverse female academics. The findings point to how using a “flock culture” – a membership-based philosophy – became the key support mechanism for the marginalized groups, empowering them to confront the systemic barriers within their profession.

First, the findings of this study are shaped by the intersections of factors such as ethnicity, age, race, religion and mode of employment, which all influences the participants’ lived experiences. Second, this study contributes to the transnational feminist movement by unveiling the contextualized barriers that junior academic females from various migrant backgrounds face and identify how they synergized their collective strengths to survive the challenging academic environment. Third, using the strength perspective, the authors disrupt the conventional and currently narrow usage of sisterhood to help develop strong, adaptive, flexible and responsive bonds among diverse female academics.