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The study aims to define the term “generation” by proposing an integrated design based on age-period-cohort effects and by proposing an Indian generational cohort framework categorizing Indian generational cohorts into four categories, namely, Baby Boomers, GenX, GenY, and GenZ. The study further aimed to capture the existing generational differences between GenY and GenZ cohorts in the Indian teams on team climate, transactive memory system, and team leader humility.

For the first two objectives a literature review methodology along with the author's proposition was adopted. An integrated design was proposed by reviewing the relevant sociological literature to define generations. Thereafter, an Indian cohort framework was proposed categorizing them into four groups Baby Boomers, GenX, GenY, and GenZ. Following that, for the last objective, i.e. to identify the differences between cohorts, empirical data were collected by a structured questionnaire that was disseminated to GenY and GenZ Indian working professionals. A total of 229 responses were used for observing the differences or similarities between GenY and GenZ cohorts on the study variables by employing an independent samples t-test.

The study proposed an integrated design (age, period, and cohort effect). Following that, an Indian generational cohort's framework has been outlined categorizing Indian cohorts based on their birth years, age groups, developmental stages, formative years, major Indian historical events, and various characteristics possessed by them. Moreover, the empirical findings support the existing generational disparities and depict that GenZ holds a higher inclination towards transactive memory systems and team climate whereas GenY holds more inclination toward leader humility.

The study put forth its contribution to research scholars by categorizing Indian generational cohorts in a rationalized manner based on an integrated design (age-period-cohort) effect. The study would further assist concerned authorities and managers in formulating HR policies to deal with the underlying generational differences highlighted by the study.

As there lies a paucity of generational frameworks in the Indian context, this study is the first attempt in this direction which categorizes Indian generational cohorts based on a unique integrated design including age-period-cohort effects. In addition, the study also investigated these cohorts in Indian organizations to observe the existing variations.

The study intends to examine the generational differences between GenY and GenZ Indian generational cohorts on the study variables, i.e. core self-evaluations (CSE), team cohesion, organizational culture and team performance. Further, the present research aims to analyze the impact of CSE, team cohesion and organizational culture on team performance as antecedents.

The study has adopted a descriptive cross-sectional survey method where the data were collected from Indian working professionals who belonged to GenY and GenZ generational cohorts. Further, a total of 370 responses were received, and thereafter, the data were analyzed by employing significant statistical tests such as exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and an independent samples t-test.

The study results revealed that GenY and GenZ cohorts significantly differ on CSE, team cohesion and organizational culture. However, no significant difference was reported in team performance between these two generational cohorts. Also, the study results disclosed that CSE, team cohesion and organizational culture positively influence team performance by acting as its determinants.

The study reports differences between GenY and GenZ that would assist managers in effectively dealing with these generational cohorts and formulating human resource (HR) policies that can accommodate the needs of these two cohorts. Additionally, the study benefits managers by highlighting the importance of core-self evaluations, team cohesion and organizational culture to enhance team performance.

Existing research depicts that there lies a paucity of generational studies in the Indian context. The present study attempts to address this lacuna by putting pioneering efforts into this field. The main contribution of the study lies in empirically investigating the Indian generational cohorts (GenY and GenZ) in the organizations. Further, the study has also conceptualized and examined a team performance model by considering factors at three levels (individual, team and organization).

As young individuals transition from educational settings to embark on their career paths, their expectations for their future careers become of paramount importance. Ng et al. (2010) examined the expectations of young people in post-secondary education in 2007; those colloquially referred to as “Millennials” or “GenY”. The present study replicates Ng et al.'s (2010) study among a sample of post-secondary students in 2019 (referred to as Generation Z or GenZ) and compares the expectations of young adults in GenY and GenZ.

This study employs a time-lag comparison of GenY and GenZ young career entrants based on data collected in 2007 (n = 23,413) and 2019 (n = 16,146).

Today's youth seem to have realistic expectations for their first jobs and the analyses suggest that young people continue to seek positive, healthy work environments which make room for work–life balance. Further, young people today are prioritizing job security and are not necessarily mobile due to preference, restlessness or disloyalty, but rather leave employers that are not meeting their current needs or expectations.

Understanding the career expectations of young people allows educators, employers and policymakers to provide vocational guidance that aligns those expectations with the realities of the labor market and the contemporary career context.

While GenY was characterized as optimistic with great expectations, GenZ can be described as cautious and pragmatic. The results suggest a shift away from opportunity, towards security, stability, an employer that reflects one's values and a job that is satisfying in the present.

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.

This study aims to examine the sequential effects of work–personal conflict (WPC) and work environment (WE) on turnover intention (TI) with a focus on generational differences in the restaurant context.

To test the two-model approach, this study uses a moderated mediation analysis based on developed scenarios for survey questionnaires completion by participants.

The results found that WE and personal–work conflict each have a unique sequential effect on TI. However, younger generations perceived external conflicts to affect their personal lives more than older generations. For older generations, external conflict affecting personal life had caused higher intentions to quit their jobs.

The study provides the unique contribution of studying the sequential effects of WPC and WE on TI. Furthermore, this study helps to fill the gap of generational research by testing generational perceptions of these relationships.

The present study aims to explore the intergenerational differences in the virtue of appreciation. The construct of appreciation takes a broadened perspective with six dimensions of “have” focus, awe, ritual, present moment, loss/adversity and interpersonal appreciation. Four different generations are studied – baby boomers (above 55 years), pre-millennial or Generation X (41–55 years), millennial or Generation Y (23–39 years) and post-millennial or Generation Z (below 23 years).

The collected data is analyzed in two stages. First, the adaptability of the scale is examined using exploratory factor analysis, confirmatory factor analysis, reliability and validity estimates. And in the second stage, the variations in appreciation scores are explored using ANOVA and post hoc analysis.

The results reveal statistically significant intergenerational differences among four subscales of appreciation, i.e. “have” focus, awe, present moment and loss/adversity. Only one subscale of appreciation, i.e. ritual, does not vary significantly across respondents of different generations. Also, younger generations have lesser scores on subscales of appreciation than older generations. Thus, it seems that older generations are generally more appreciative than younger generations.

The present study, to the best of the authors’ knowledge, could be the first research that examines the variation among generations for the experience of broader construct of appreciation within the Indian context.

Generation Z (Gen Z) is particularly influenced by digital technologies as this cohort is found to have grown up with technology forming the pivot of most of their routine activities. Owing to the huge potential of this market, online retailers are keen to build and sustain their loyalty. Shopper’s loyalty varies across age, gender, income, service quality perceptions, etc. of customers. This study aims to show that it is necessary to identify distinct consumer segments of these shoppers which can enable online retailers to fine tune their marketing programs and increase program effectiveness.

Using a sample of 700 students pursuing Masters in Business Administration (553 usable responses) from two state universities in North India, data have been collected with reference to accessories, clothes, books and electronic goods. SPSS and AMOS have been used to analyse data using cluster analysis and multinomial logit (MNL) regression analysis.

The results of cluster analysis reveal that these shoppers can be clustered into three segments, namely disloyal shoppers (DS), staunch loyals (SL) and vacillating shoppers (VS) on the basis of their online retail loyalty. The odds ratio reveals that less frequent online shoppers are less likely to be VS or DS than being SL shoppers. People who experience flow while surfing online shopping websites are 3.260 times more likely to be VS than being SL. Further, service quality decreases the odds of a shopper acting as a VS in comparison to SL shopper by 0.113.

These findings would help marketers identify strategies that can transform the VS or the disloyal ones into loyal and profitable segments. The present study is limited to Gen Z shoppers and so results may vary for customers belonging to other age groups.

The study contributes to existing literature by understanding the antecedents which contribute to online retail loyalty of distinct segments of young shoppers.

The proliferation of information technology (IT) and IT-enabled devices has brought various challenges for modern organizations. These challenges are aggravated by the fact that the employees of different generations have a varying degree of expertise and ethical orientation regarding technology. This study has two primary objectives to have an in-depth understanding of technology-related ethical behavior of a diverse workforce. First, it aims to develop a valid and reliable scale to measure technology-oriented ethical behavior. Second, it investigates variations in technology-oriented ethical behavior among Generation X (pre-millennial), Generation Y (millennial) and Generation Z (post-millennial) using the scale.

The study is conducted in two steps. The first step, a techno-ethical scale, is developed with the help of the six steps of scale development proposed by Churchill (1979). These steps include exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis (composite reliability) and validity analysis (convergent and divergent validity). In the second step, intergenerational variation in different factors of technology-oriented ethical behavior among generation X, Y and Z employees is explored with the help of ANOVA and mean plots.

The study suggests a four-dimensional techno-ethical scale comprising fourteen statements. These four dimensions of the scale are the invasion of the right of privacy, defamation, self-enrichment and loafing during office hours. The scale is reported to have adequate reliability and validity estimates. Results also recommend statistically significant variations in all four dimensions of technology-oriented ethical behavior among pre-millennial, millennial and post-millennial. Also, except for self-enrichment, the mean values progressively increase from pre-millennial to post-millennial. Even for self-enrichment, the mean value is highest for post-millennial.

This study is one of the pioneer studies that explore ethical orientation towards technology usage of three generations of employees.

Food delivery applications (FDAs) are becoming more and more well-liked across Generations X, Y and Z, with Asia experiencing the biggest growth. These three generations of consumers have distinct views toward using FDAs because they were influenced by various social environments, cultures and experiences. Therefore, marketers ought to present customers with various values. The purpose of this study is to investigate how the theory of consumption values (TCV) affects the intention of various generational cohorts to continued usage intentions.

Online surveys were distributed to 745 Thai customers who had previously ordered meals from FDAs to collect information. The data were analyzed using partial least squares structural equation modeling and multigroup analysis.

Results reveal that there are significant differences among Generations X, Y and Z, while emotional value is insignificant. Generation X is concerned about functional and conditional value, whereas Generation Y expresses the highest concern on epistemic and social value. Meanwhile, Generation Z pays attention to epistemic, functional and social value.

The novelty of this study contributes to TCV affecting the different FDAs consumption value among Generations X, Y and Z, while the previous research only focused on gender and age difference, and this study firstly combines FDAs with TCV to predict the consumers’ intention to continuously use FDAs in the post-COVID-19 outbreak.

Drawing on expectancy violation theory, this study aims to assess the impact of corporate environmental irresponsibility (CEI) on workplace deviant behaviors (WDB) of Generation Z and Millennials through the mediation of moral outrage.

The data were collected from 328 nonmanagerial employees working in the refinery, petroleum and power distribution companies who have been convicted for committing environmental irresponsibility by a court of law. Multigroup analysis (MGA) was used to estimate the hypothesized relationships.

Results revealed that CEI affects WDBs positively. Moreover, the MGA results demonstrated that the deviant behavior of Generation Z in response to environmental irresponsibility is higher than of the Millennials.

Theoretically, the findings implicate that harming the environment will cost organizational performance through deviant behaviors.

This study provides a new lens for the executive management that eliminating social irresponsibility is more important than incurring sustainability initiatives, especially from the new generation’s perspective.

The originality of this study is that it confirmed the impact of CEI on employees’ deviant behaviors; and extended the scope of expectancy violation theory to the field of human resources.