Search results

The American Dream is tightly woven into the American culture and way of life. Despite the importance and ubiquitous nature of the American Dream, the topic is difficult to define and belief in the attainability of the American Dream changes over time. Because of the little academic research on the topic, this study aims to fill this gap and investigate what people think about the American Dream and what factors influence the perception that this concept is outdated among different two generations – Baby Boomers and Millennials.

An online survey containing both open-ended and close-ended questions was conducted in two age groups via Qualtrics – 245 Millennials (born 1980–1996) and 253 Baby Boomers (born 1946–1964). Open-ended questions were analyzed using NVivo and closed-ended questions were analyzed using SPSS. Items on the online survey measured the definition of the American Dream, factors in defining it, the relevancy and attainability of the Dream, whether it was outdated, as well as Schwartz’s list of values (Lindeman and Verkasalo, 2005).

Three research questions were investigated. First, the results show that Baby Boomers and Millennials define the Dream similarly in terms of a house, family, happiness, freedom and equality. Second, they differ, however, in whether they believe that the Dream is relevant and attainable. Specifically, only Baby Boomers believe that the Dream is still relevant, but both generations believe that it is harder for younger generations to achieve the Dream. Third, the authors found similarities and differences in terms of demographics and values predicting whether the two generations believed that the Dream is outdated, and new values should be added. For both generations, values were more likely to predict the belief that the Dream was outdated. Using Schwartz’s values, those high in universalism were more likely to believe that the Dream was outdated and that new values should be added to the definition of the Dream for both generations. The values of security, self-direction, achievement and benevolence differed between the generations in believing that the Dream was outdated and that new values should be added.

This research provides insight into how these macrolevel beliefs influence people at the microlevel and how businesses or public policymakers can use these concepts to influence attitudes or behaviors.

The purpose of this paper is to estimate the effect the five different generations and the key financial inclusion indicators of gender, education and location (rural–urban) in exacerbating disparities in financial inclusion in Kenya. This paper considers whether the five generational cohort groups in Kenya differ on the financial inclusion determinants and behaviour as predicted by common generational stereotypes.

The authors applied a multinomial logistic regression approach to nationally representative household survey data from Kenya to estimate the effect that key financial inclusion indicators have on belonging to one of the five generations: Z, Y, X, baby boomers and traditionalists.

The authors found significant links between all tested variables and financial inclusion. The authors found an access gap between Generations X and Y, with the latter being more prone to access and use financial services and products. These differences are compounded by gender and rurality. People in rural locations and women generally were found to have less access to financial services and products, thus causing significant exclusion of a large proportion of the population.

The research has important implications for governments, financial institutions and educational providers, notably on targeted policies and programmes that strategically aim to eliminate disparities and promote greater financial inclusion, denoting the value of such variables as generational differences and gender inclusivity.

This paper deepens the understanding of differences that can divide generations on financial inclusion.

This article aims to explore the relationship between age and emotional intelligence, as the latter emerges as essential to professional performance and an individual’s ability to adapt to an ever-changing world. The study examines the emotional intelligence of Bulgarian digital entrepreneurs from different generations.

The developed methodology for studying the emotional intelligence of digital business owners is based on Daniel Goleman’s model of emotional intelligence. The sample consists of 1,175 participants; the statistical error for the studied population is 2.8%. The demographic groups covered by the study are as follows: 1965 (Baby Boomers); 1965–1979 (Generation X); 1980–1995 (Generation Y); and 1995 (Generation Z). Data were collected using an anonymous form and subsequently analysed.

The comparison between the different generations of Bulgarian digital entrepreneurs reflects an increasing trend with age in the ability to exercise and apply emotional intelligence. The findings also show that although emotional intelligence is seen as the result of five components – self-awareness, self-regulation, motivation, empathy and social skills, the predominance of only one of these competencies does not guarantee high emotional intelligence. At the same time, self-awareness stands out as an ever-evolving component of emotional intelligence.

This paper integrates the concept of the development of emotional intelligence with age and confirms that general emotional intelligence may increase with age. Therefore, the study adds value to the literature on entrepreneurship, organisational behaviour and human resource management.

This study aims to analyze the importance and performance of customer-facing technologies in luxury hotels. The study also assessed differences between and within the four generations in the importance-performance analysis (IPA).

Data were collected using a Qualtrics panel of recent luxury hotel customers in the USA belonging to all four generations. The cross-generational IPA was conducted using t-tests and (ANAOVA).

The IPA matrix concentrated most technology items in either low importance – low performance or high importance – high performance quadrants. One-way ANOVA revealed significant differences between generations on the importance ratings of all technology items except wireless charging power solutions and on the performance ratings of all technology items. Furthermore, post hoc tests indicated that millennials rated luxury technology most favorably among the four cohorts, followed by generations Z, X and Baby Boomers. In addition, significant differences between the importance and performance of many technology items within each generational cohort were observed. Overall, Wi-Fi was unanimously ranked across generations as the most important technology among luxury guests, but it was the only one that scored lower in performance than importance.

The findings of this study contribute to hospitality scholarship in two primary ways: the importance and performance of technology and generational differences. The results advance the understanding of the impact of generational factors on customer-facing technological adoptions in the luxury hotel sector.

Technologies that are pervasive in the home also become vital offerings for hotels. The more pervasive technology, the more a luxury hotel must work to ensure that it performs at optimal levels. Additionally, which technologies are most important to targeted generations are provided so practitioners may budget for their implementation.

This research is a pivotal step forward in unraveling the intricate interplay between generational factors and technological evaluations, providing a foundation for future research and practical applications in a rapidly evolving technological landscape in the hospitality industry.

Limited research investigates the travel behavior of the retired adult population before retirement and how it changes after retirement. Currently, most of the travel research on the retired population explores their current travel patterns in retirement. Increased research on travel activity before retirement would allow managers in the tourism industry to better adapt and anticipate the changing needs and demographics of seniors, notably, the various ways this growing population manages travel and specific barriers or concerns they face. The authors examined the changes to the travel patterns – defined as travel frequency, mode of transportation, and geographic location/s (domestic or international) – of those retired traveling before and after retirement. Since retirement is a time of major life change, the authors analyzed how this event impacts travel behavior. This research identified barriers these Baby Boomers and those who are retired experience while traveling, including health, social activities, and financial status, which may impact their travel, the degree to which their travel behavior is affected, and specific environmental and personal factors impacting their travel patterns. This chapter will explore the barriers and motivations to travel for the retired population. Results show that before retirement seniors had less time to travel, obligations at home, and were not interested in as many destinations. After retirement, health barriers negatively impacted an individual’s travel frequency and they were also more concerned about safety while traveling and accessibility to the destinations. After retirement, financial barriers impacted an individual’s domestic travel frequency, with those having lower incomes traveling less. Accessibility to the destination facility and transportation options were major barriers to traveling internationally. Before and after retirement, there was a decrease of 10 percent in international travel.

While today's customer steadily adapts to various modes of shopping, their beliefs around fluency through each shopping channel, and personal factors such as income level, can impact their intention to patronage or purchase from omnichannel department stores. Hence, this study analysed the customers of omnichannel fashion department stores, using perceived fluency and income as indirect factors that help understand customers' patronage intention and purchase intention.

The overarching framework for this research is the theory of reasoned action, in which patronage and purchase intentions represent the specific likelihood-of-performance behaviours. A Seemingly Unrelated Regression model was empirically used to analyse the relationships between generational cohorts, income, and perceived channel fluency and the behaviours that lead to patronage intention and purchase intention. Researchers conducted a survey among 552 omnichannel fashion department store consumers to examine today's retail environment.

The results of this study suggest that (1) consumers between the ages of 50 and 69 years, including older Generation X and younger Baby Boomers, who earn between $60,000 and $79,999 in annual salary show a significantly positive relationship with both patronage and purchase intentions through perceived fluency and (2) consumers between the ages of 38 and 49 years, including older Millennials and younger Generation X, who earn between $80,000 and $99,999 in annual salary show a significantly positive relationship with purchase intention through perceived fluency

This study analyses correlations between a generational cohort, perceived fluency as moderated by income and the relationship between these variables and customers' patronage and purchase intentions, which has not been studied before.

The current inquiry advances the public relations field and practice in several ways. First, this research addresses a clear gap in research on subjective well-being, specifically among PR professionals across career stages and generations. Second, the findings reveal important generational similarities and differences in how PR practitioners talk about well-being. This provides an empirical basis for developing tailored, multi-generational approaches to supporting well-being in PR workplaces. Lastly, this research provides practical implications for PR professionals to understand generational perspectives and to implement flexible policies to improve well-being.

The current study explored subjective well-being (SWB) across generations of public relations professionals. Using a qualitative approach, semi-structured interviews were conducted with 12 PR practitioners at various career levels – entry, mid-level and senior.

Analysis revealed several similarities but a key disparity among cohorts. Senior-level professionals specifically reported struggling with work–life balance and the perceived ability to be autonomous, while entry-level professionals expressed commitment to setting boundaries on their time. These findings highlight a need for the PR industry to establish flexible workplace standards that enable employees at different career stages to collaborate and support one another’s well-being.

Our findings will appeal to your readers who seek to cultivate employee subjective well-being and understand generational issues via qualitative methods. By conducting a qualitative study in an understudied area, PR industry leaders and managers can support employee well-being across generations and career stages.

Our study is the first to examine generational dispositions as it relates to SWB across the public relations industry.

This study aims to explore how social media affects decision-making among tourists and whether there is a potential effect of age, which is studied through generations. For this purpose, baby boomers, Gen X, Gen Y and Gen Z tourists are studied and real-time implications are offered.

The study adopts a descriptive and exploratory design where the conceptual model of social media-based decision-making is developed through a review of the literature. Quantitative analysis is conducted on primary data from 600 Indian tourists. This is done using a self-administered questionnaire adopted from Gulati (2022) after checking its validity and reliability. The statistical analysis for hypothesis testing is done using PLS-SEM path modelling on pooled data. To study the categorical moderating effect of generations, partial least squares multigroup analysis (PLS-MGA) is performed as a paired comparison on every successive generation.

After testing every successive younger generation with an older generation through PLS-MGA, none of the pairs found any significant differences in path coefficients, as the values obtained were 0.05 < p < 0.95 for all five paths (SM → NR, SM → IS, SM → E, SM → P, SM → PPB). This indicates all the generations behave in a similar manner irrespective of them being older or younger, and age does not moderate social media’s impact on decision-making among Indian tourists.

The study establishes India as a unique geographical market and suggests tourism marketers to treat all generations at par, irrespective of age, as they behave and interact with social media in a similar manner. But, because this study is restricted to a single geographical location, i.e. India, further regions can be explored for global generalisation. Future research can also explore other demographics for combined, moderated analysis. Findings from the study suggest that marketers should ensure that equal attention is given to all generations as they engage with social media in a similar manner. Targeted marketing using artificial intelligence can help in ensuring custom ads. Personalisation according to generations can also facilitate greater purchases.

The study fills a major population and knowledge gap by exploring a topic that has been highly under-researched. Also, the study adopts an inclusive approach by analysing all the generations, both younger and older, to understand the potential effect of age on moderating the impact that social media has on tourist decision-making. Further, real-time suggestions and implications are offered to tourism marketers with special reference to the Indian tourism industry.

With the trend of adopting and studying artificial intelligence (AI) service robots at restaurants, the authors’ understanding of how customers perceive robots differently across restaurant segments remains limited. Therefore, building upon expectancy theory, this study aims to propose a trust-based mechanism to explain customers’ support for AI-based service robots.

For cross-segment validation, data were collected from online survey participants under the scenarios of experiencing AI service robots in luxury (n = 428), fine-dining (n = 420), casual (n = 409) and quick-service (n = 410) restaurant scenarios.

In all four segments, trust in technology increased willingness to accept AI service robots, which was then positively related to customers’ support for AI-based service robots. Meanwhile, customers’ AI performance expectancy mediated the relationship between trust in technology and willingness to accept AI service robots. On the other hand, at luxury, fine-dining and casual restaurants, males perceived a stronger positive relationship between trust in technology and AI performance expectancy. No generational differences were found in the four restaurant segments between trust in technology and AI performance expectancy.

To the best of the authors’ knowledge, this study is one of the first attempts in hospitality research to examine cross-segment validation of customers’ responses to AI-based service robots in the luxury, fine-dining, casual and quick-service restaurant segments.