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Extant research captures the signaling and attitudinal effects of luxury brand prominence strategy; however, little is known about the underlying mechanisms that drive this effect. This study aims to uncover brand authenticity and brand coolness as parallel mediators driving the effects of brand prominence on luxury purchase intentions and explores the moderating role of consumers’ self-brand connection.

The research consisted of three experiments. Study 1 (n = 121) explored the direct effects of brand prominence among Chinese consumers. Using a sample of Turkish consumers (n = 115), Study 2, measured the mediation effects of brand authenticity and brand coolness. Study 3 (n = 211) examined how self-brand connection moderated the mediation effects among British customers.

A luxury brand prominence strategy leads to negative perceptions of coolness and authenticity and, in turn, reduces purchase intentions. The negative effect of brand prominence is even more pronounced among consumers with high self-brand connection.

The study elaborates on how brand prominence informs consumers’ perceptions of authenticity and coolness. In examining the role of self-brand connection, the study reveals a theoretically and managerially relevant boundary condition of this focal effect.

The research highlights how luxury brands can use differing brand prominence strategies. This research informs brand managers on how to enhance brand authenticity and coolness while managing self-brand connection.

The study extends the luxury branding literature by explaining the brand prominence effect through the parallel mediators of brand authenticity and brand coolness. In contrast to extant research, the findings show that the negative effect of brand prominence is particularly strong among consumers with high self-brand connection.

Ageism refers to the systematic, cultural devaluation of agedness and concomitant discrimination against older adults that is endemic to Western industrialised societies. Age-based discrimination is expressed through the numerous, taken-for-granted, negative stereotypes that equate oldness with frailty, senility, asexuality, obsolescence and loss of attractiveness. It is also evident in the institutional policies and everyday practices that both subtly and overtly exclude older adults from full and meaningful access to resources and opportunities in various organisational settings, including the workplace. This chapter explores the ways that ageism shapes and constrains the experiences and prospects of older workers as they endeavour to obtain or retain employment and/or access to training and promotions. I will discuss how age-based stereotypes and discrimination are gendered, resulting in differential impacts on older men and women seeking employment or those who are currently employed. I will further consider how the older body more generally and appearance in particular are the focal points of ageist assumptions, norms and practices in the workplace. I will conclude by reflecting on the implications and outcomes of age-based exclusion and discrimination on the lives of older male and female employees.

The globalisation of markets, emerging concepts of sustainable development, and circular economy have defined the boundaries within which organisations must compete and address the needs of key stakeholders. As circumstances change, boundaries are often replaced by the relationships between companies and the communities they serve. Consequently, strategy has become a central aspect of sustainable leadership and the foundation for implementing strategic management in a dynamic system of relationships. Every company is born and grows within social and economic ecosystems. Drawing on the metaphor of biology, ecosystems are described as dynamic interconnections among various elements that influence and foster entrepreneurship. Interconnections between players (such as marketplaces, organisations, governments, and universities) create a flow of expertise, abilities, knowledge, experience, and tangible resources. Economic and social ecosystems involve various actors and components that continuously coexist and interact, leading to the creation of numerous mutual relationships. Consequently, it is crucial for managers to gain a comprehensive understanding of the internal and external environments. Various decision-making tools and strategies can be used to achieve this goal. These tools were developed to assist managers, researchers, and consultants in making informed decisions under complex scenarios. This chapter presents several decision-making strategies and tools, including the Boston Consulting Group (BCG) matrix, General Electric (GE) matrix, Balanced Scorecard (BSC), PEST, PESTEL analysis, and SWOT analysis.

The purpose of this study was to find the key face mask features using Kano model in combination with a hierarchical cluster analysis based on customer satisfaction (CS) and preference.

This study used 171 responses collected from a self-administrated online survey with convenience sampling where respondents were asked about 16 different features of face masks.

The study revealed that, among 6 Kano categories, 15 features were categorized as “one dimensional” and only the high price fell under the “reverse” category but all features were not equally weighted by customers. The result also showed viral protection and comfortability were the most desired features by customers regardless of its price and the “color matching” feature can act both as “one dimension” and as “attractive” feature.

This study will help face mask producers to drive their resources towards those features which customers value more by showing how to prioritize features even if they fall under the same category.

This study used customer satisfaction and dissatisfaction index along with an unsupervised machine learning tool to improve features classification based on Kano model. The findings of this study can be used to formulate future research studies.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

Framed by nostalgia marketing, this research draws upon lessons from ParticipACTION, a Canadian non-profit health promotion organization, to examine one of their most well-known campaigns, Body Break with ParticipACTION, in order to assess the potential role for nostalgia-based marketing campaigns in sport participation across generational cohorts.

Exploratory sequential mixed methods involving two studies were completed on behalf of ParticipACTION, with the authors developing the research instruments and the collection of the data undertaken by research agencies. Study 1 was the secondary analysis of qualitative data from five focus groups with different demographic compositions that followed a common question guide. Study 2 was a secondary data analysis of a pan-Canadian online survey with a sample (n = 1,475) representative of the overall adult population that assessed awareness of, and attitudes toward, ParticipACTION, Body Break, physical activity and sport participation. Path analysis tested a proposed model that was based on previous research on attitudes, brand and loyalty. Further, multi-group path analyses were conducted to compare younger generations with older ones.

The results provide direction and understanding of the importance of nostalgia in marketing sport participation programs across generational cohorts. For instance, in the four parent-adult focus groups, unaided references as well as frequent and detailed comments regarding Body Break were observed. Similarly, Millennials reported that Body Break was memorable, Canadian and nostalgic, with a mix of positive and negative comments. The importance of nostalgia was supported sequentially via results from the national survey. For example, while 54.1% of the 40–54 age-group associated ParticipACTION positively with Body Break, so did 49.8% of the 25–39-year age group, most of whom were not born when the promotion ran. Further, brand resonance was found to explain 4% more variance in moderate-to-vigorous physical activity (MVPA), the proxy for sport participation, for younger people compared to older people.

Results provide direction to brands, properties and agencies around the use of nostalgia in sport marketing campaigns and sponsorship efforts. For brands seeking to sponsor sport properties to alter their image with potential consumers in a new market, associating with a sport property that many view as nostalgic could improve the impact of the campaign. On the sport property side, event managers and marketers should both identify existing assets that members or fans are nostalgic about, as well as consider building nostalgia into current and new properties they develop.

This research is valuable to the sport marketing and sponsorship literature through several contributions. First, the use of nostalgia marketing, and nostalgia in general, is novel in the sport marketing and sponsorship literature, with future research in nostalgia and sponsorship recommended. Second, the potential to adopt or adapt Body Break to other sport participation and physical activity properties is empirically supported. Finally, the finding that very effective promotions can have a long-lasting effect, both on those who experienced the campaigns as well as younger populations who only heard about it, is notable.

This paper aims to improve the debate linking the business models of banks to their riskiness by checking if diversification exerts different impacts on the probability of bank distress depending on the level of capital buffers.

The paper focuses on a sample of listed bank holding companies observed between 2007:Q3 and 2022:Q4. The authors use three subindexes of bank diversification. The authors estimate a dynamic model specification using a system generalized method of moments with robust standard errors and consistent estimators under heteroskedasticity and autocorrelation within a panel. Sensitivity and robustness checks are performed.

Asset and income diversification increase the probability of distress in low-capitalized banks during normal periods (excluding periods of crises and high uncertainty). Concerning crisis periods, a marginal increase in asset diversification during the global financial crisis (GFC) and the COVID-19 pandemic crisis induces a more important increase in the probability of failure of well-capitalized banks relative to low-capitalized ones. Contrary to the results obtained for the GFC period, well-capitalized banks were found to pursue more careful funding diversification in reaction to the sudden increase of uncertainty during the Russia–Ukraine war.

Prudential supervision should concentrate on well-capitalized banks to encompass unexpected excessive risk-taking during crisis periods. Regulatory requirements should constrain fragile banks to avoid pursuing assets and income diversification strategies that increase earnings volatility.

The main originality of this paper is to consider the interaction between three different dimensions of bank diversification and capital regulation during stable and unstable periods using the marginal effect analysis. Moreover, this paper uses, initially, the GFC as the reference crisis period to study the impact of capital buffers and diversification interactions on the probability of bank distress. Then, the authors extend the observation period until 2022:Q4 to include two additional major events, namely, the COVID-19 pandemic and the Russia-Ukraine war.

The present study assesses the commercial bank profit efficiency and its relationship to banking sector competition in a rapidly growing emerging economy, India from 2009 to 2019 using stochastic frontier analysis (SFA).

Lerner indices, conventional and efficiency-adjusted, quantify competition. Two SFA models are employed to calculate alternative profit efficiency (inefficiency) scores: the two-step time-decay approach proposed by Battese and Coelli (1992) and the recently developed single-step pairwise difference estimator (PDE) by Belotti and Ilardi (2018). In the first step of the BC92 framework, profit inefficiency is calculated, and in the second step, Tobit and Fractional Regression Model (FRM) are utilized to evaluate profit inefficiency correlates. PDE concurrently solves the frontier and inefficiency equations using the maximum likelihood process.

The results suggest that foreign banks are less profit efficient than domestic equivalents, supporting the “home-field advantage” hypothesis in India. Further, increasing competition drives bank managers to make riskier lending and investment choices, decreasing bank profit efficiency. However, this effect varies depending on bank ownership and size.

Literature on the competition bank efficiency link is conspicuously scant, with a focus on technical and cost efficiency. Less is known regarding the influence of competition on bank profit efficiency. The article is one of the first to examine commercial bank profit efficiency and its relationship to banking sector competition. Additionally, the study work represents one of the first applications of the FRM presented by Papke and Wooldridge (1996) and the PDE provided by Belotti and Ilardi (2018).

This study presents a systematic review of the literature on monetary policy and corporate investment together with bibliometric analysis.

This study selected 455 articles from databases, Scopus and Web of science and the papers are reviewed systematically to identify their theoretical and empirical contributions.

The results reveal that monetary policy can influence corporate investment. Post to the economic crisis (2008), there is an exponential growth in the number of publications. Berger, A., and Hubbard are the two prominent authors based on the highest citation score, whereas Marquez, R., and Vermuelen, P. are the two prolific authors, subject to their highest h-index. Journal of Banking & Finance was the top journal (total citations = 1482) and 5 publications.

This study positively contributes to the comprehensive understanding of corporate investment, monetary policy transmission and firm capital structure choices.

To the best of the author’s knowledge, this is the first study that conducts a systematic review of the influence of monetary policy on corporate investment.

Given inconsistent results in prior studies, this paper applies the dual process theory to investigate what social media messages yield audience engagement during a political event. It tests how affective cues (emotional valence, intensity and collective self-representation) and cognitive cues (insight, causation, certainty and discrepancy) contribute to public engagement.

The authors created a dataset of more than three million tweets during the 2020 United States (US) presidential elections. Affective and cognitive cues were assessed via sentiment analysis. The hypotheses were tested in negative binomial regressions. The authors also scrutinized a subsample of far-famed Twitter users. The final dataset, scraping code, preprocessing and analysis are available in an open repository.

The authors found the prominence of both affective and cognitive cues. For the overall sample, negativity bias was registered, and the tweet’s emotionality was negatively related to engagement. In contrast, in the sub-sample of tweets from famous users, emotionally charged content produced higher engagement. The role of sentiment decreases when the number of followers grows and ultimately becomes insignificant for Twitter participants with many followers. Collective self-representation (“we-talk”) is consistently associated with more likes, comments and retweets in the overall sample and subsamples.

The authors expand the dominating one-sided perspective to social media message processing focused on the peripheral route and hence affective cues. Leaning on the dual process theory, the authors shed light on the effectiveness of both affective (peripheral route) and cognitive (central route) cues on information appeal and dissemination on Twitter during a political event. The popularity of the tweet’s author moderates these relationships.