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The purpose of this study is to shed some light on an important phenomenon – how and why intra-family succession may change if millennial cohorts are considered as successors. Specifically, it aims to explore the superordinate themes that support the success of intra-family succession from perspective of two different cohort successors (X and millennial).

An interpretative phenomenological analysis (IPA) was adopted for detailed structural analysis of in-depth interview as it aims to explore meaning of participants' experiences. A total of ten individuals participated in the study.

Seventeen superordinate themes emerged from participants' personal statements and experiences. The themes are grouped into four aspects: namely, characteristics of predecessor and successor, succession process, firm and family and succession output. These aspects were found to be different between X and millennial cohort successors. They then form an empirical model of intra-family succession from both perspectives.

This study enriches the theory of family firm by considering generational effect of successors on intra-family succession.

As millennial cohort successors prefer to go directly into business (experiential learning) and are driven by non-material motives (passion-driven), predecessors are expected to utilize them in the process of nurturing and development.

This study considers the role of generation cohort in supporting the success of intra-family succession especially in relation to the characteristics of millennial cohort successors that have been shown to differ from that of X cohort.

Using the millennial cohort the purpose of this paper is to assess differences in shopping mall behaviour between three intra-cohorts groups: adolescents (13–17), emerging adults (18–23) and young adults (24–30+).

Using a self-administered questionnaire, respondents were recruited through random customer intercepts at a major shopping mall in a capital city in Australia using a team of trained research assistants. After initial descriptive between group examinations, discriminant analysis was applied to verify group membership.

Results show significant differences between groups. Attitudes based upon mall attributes varied significantly, along with expenditure and other behaviour. The study provides evidence of transitional differences within a generational cohort as mall consumers mature.

It serves as a focus for researchers to more actively consider intra-cohort segmentation relating to other generational cohorts.

Findings show that emerging adults to be moving away from attending the mall, which means, this group may be lost if retailers are not more proactive in attracting them or at least maintaining them. Coupling this with the group’s transition towards young adulthood, and the fact that these young adults are less likely to go to the mall there is a degree of urgency to develop strategies to keep this transition group engaged if financially feasible.

This research is important to ongoing theoretical perspectives of cohort theory and life cycle positions through its application to a more nuanced examination of the millennials cohort.

Young consumers are recognized as an important and lucrative segment for the businesses across the globe. While initial steps have been taken to understand them, majority of the existing works consider both Millennials and Generation Z as a single and homogeneous market segment. The purpose of this study is to explore the consumer decision-making styles which are prevalent among Indian Millennials and Generation Z e-shoppers, and how significantly they differ from one another on each of those decision-making attributes.

This exploratory study used the generational cohort theory (GCT) as a framework. The psychographic statements (Questionnaire items) employed were adopted from several past researches on store orientation and catalog orientation, and they were rephrased to suit to the context of Indian online shopping. The principal components factor analysis with promax rotation has been used to unearth the underlying decision-styles among 503 survey participants. Subsequently, the ANOVA model was run to examine the mean differences between the cohorts.

The factor analysis has revealed that frugality (Price), convenience (Home) and social desirableness are the most dominant shopping orientations (decision-styles) that prevail among Indian (Millennials and Generation Z) online shoppers though in varying degrees. The probing of ANOVA results suggested that, though both the cohorts favor e-shopping, Generation Z are more enthusiastic about online shopping than their Millennial counterparts do.

Though Generation Z and Millennials share few characteristics between them, they exhibit different consumer behaviors. Marketers need to customize their value offerings and marketing communications that resonate well with each generational cohort.

Almost all the existing research works that have been conducted so far on generational cohorts are from Western and European countries and one could confidently say that those findings cannot be applied for the developing nations such as India which is a complex and diverse country in terms of its language, custom, religion and practices with troublesome pasts. Moreover, this is the first empirical work to be conducted to unearth the generational differences that exist between Generation Z and Millennials to the best of authors' knowledge.

The rising costs of recruiting and hiring workers and the seismic shift of age demographics in the United States workforce has created much stir around the concept of generational cohorts. Although much has been done by researchers and practitioners alike to attempt a better understanding of each generational group’s leadership preferences, confusing and contradictory results has attracted much criticism. This critique has inspired efforts to look at the concept of leadership and followership preference through an alternative lifespan developmental lens. Because leadership influences are inherently social influences, a person’s overall lifespan development level may potentially provide a deeper perspicacity of the phenomenon than examining it from the more conventional generational cohort perspective. However, specific research into this area is lacking. This paper adds to the literature by uncovering what we are missing in research and practice when we look at age-related leadership phenomena solely from a generational cohort perspective. A review of the contradicting literature on generational cohorts and leadership is offered. Next, specific lifespan developmental theories are examined, and propositions and implications of such research are extended.

Omnichannel retailing has changed the behaviour of consumers by empowering activities like showrooming which is the process of collecting product information in store then making the purchase online. Since individuals, particularly Millennials, interact with multiple touchpoints throughout their shopping journey, retailers must consider how these experiences influence purchasing behaviour. Literature regarding showrooming has focussed primarily on antecedents to the phenomenon and the negative effects to brick and mortar retailers, however limited studies have investigated the quantitative influence of showrooming from the consumers' perspective. While data show that interest in online shopping is spiking, a vast majority of retail sales are made in-store suggesting barriers to online shopping still exist. Thus, the purpose of this research is to identify the role of showrooming in decreasing risk in an online shopping context. Additionally, Millennial generational cohorts (MGCs) were proposed as moderators in exploring the differences between the dimensions of perceived risk and online shopping intention.

To explore the relationship between showrooming and MGCs online shopping behaviour an online survey was administered. Data were collected from 480 Millennial consumers at a large southwestern university. Multiple linear regression was used to determine the direction, magnitude and significance of relationships within the models.

Results from the analysis revealed showrooming and MGCs influence online shopping behaviour as it relates to dimensions of risk. Moreover, showrooming increased online shopping intention specifically in relation to product and financial risk.

This paper contributes to the relevant literature by proposing a relationship between showrooming and online shopping behaviour. This research provides evidence that Millennials are not a monolithic generation and consume differently.

The aim of this research is to advance the understanding of multi-channel behaviour in terms of different generational cohorts' usage and spending patterns.

Building on previous studies on multi-channel behaviour, differences in shopping channel usage and purchase amounts were investigated between baby boomers, Gen X, xennials and millennials.

There were significant differences found between the generations in terms of multi-channel behaviour regarding purchasing frequency and average purchase amounts via a) mobile phone, b) tablet, c) computer, d) social media and e) brick-and-mortar. Fewer differences were found amongst the generational cohorts in terms of amount spent per channel.

The research was successful in analysing variances in multi-channel behaviour amongst the baby boomer, Generation X, xennial and millennial cohorts, while updating the body of literature to consider generational channel usage of mobile and social media in multi-channel retailing.

Marketers should consider xennials’ channel behaviour and focus on converting sales through integrated programmes based on their channel usage. Retailers should also consider millennials' heavy engagement with social media in their lives but spend lower amounts via the medium, which may be an opportunity to use this medium as a viable stand-alone channel in targeting millennials' shopping dollars.

This study updates the body of research on multi-channel behaviour by considering generation as a factor in channel usage and spend amount.

Online reviews have received research attention in recent years, as they work as precursors of consumer behaviors. Previous studies have suggested that the influence of online reviews may vary across generations. However, the previous literature has not analyzed yet whether millennials and Generation X react differently to online reviews. This study aims to shed light on this by analyzing whether the attitudes and behavioral intentions generated by online reviews are different for these two generational cohorts.

An experimental procedure was designed to manipulate online review valence; data were collected from 351 respondents in two samples, Generation X and millennial participants.

Results suggested that positive online reviews generate more positive customer attitudes and booking intentions than negative online reviews. In addition, Generation X vs millennials moderates the link among online review valence, attitudes and booking intentions. The resultant behaviors from online reviews are more intense among Generation X than for millennials.

Managers should be aware of online review valence and their customers' generational cohort, that is, whether they are millennials or Generation X, as they react differently to online reviews.

This research examines the moderating role of millennials and Generation X in the relationship between online reviews, consumer attitudes and behavioral intentions. The aim is to explain how millennial and Generation X consumers react to eWOM, that is, whether generational cohort mitigates or enhances the effects of positive vs negative online reviews on consumer reactions.

The purpose of this study is to determine a comprehensive model of millennial usage of interactive technologies in the current marketing environment based upon actual behavior.

A data mining approach using decision tree analysis (DTA) generates two comparative models (i.e. millennial versus generation X and millennial versus baby boomers) of interactive media usage across 21 technology applications. A large national sample (n=3,289) sourced from the Kantar Retail IQ constitutes the data for the models.

Millennial respondents indicate significantly higher usage of interactive media compared to both generation X and boomers across 14 applications. Models indicate that millennials use interactive technologies for utilitarian/information gathering purposes as well as for entertainment. However, they are less likely to purchase online compared to their older counterparts.

Models provide evidence that both supports and extends previous research into interactive media from a uses and gratifications perspective. Findings suggest theoretical directions for research for economic versus emotional uses of interactive media.

Findings suggest that while millennials are adept at using technology for research and interactive purposes they tend to buy in stores, presenting opportunities for multiple channel marketers and challenges for those who market online exclusively.

The paper provides a realistic, comprehensive empirical model of interactive consumer behaviors across three prominent US cohorts within the current generational cycle.

The purpose of the study is to investigate the preferences of young Millennials for a salient product category (toys) and to investigate possible within‐group differences that have relevance for marketers.

The study carried out analysis of commercially collected survey data (538 pre‐teen Millennials) from Harris On‐Line using cluster and correspondence analyses.

Segments exist within the younger Millennial cohort. Specifically, four clusters emerged including enthusiasts, social/intellectuals, creatives and the disengaged.

One limitation is the selection of the toy characteristics included in the cluster variate, which were based on scarce published research and the opinion of Harris On‐Line experts. A second limitation is that the toys were never differentiated between traditional toys and electronic toys. A third limitation revolves around the maturation of the Millennials and how that may affect the clusters over time.

The cohorts are not homogeneous and the marketers should attend to the differences within the Millennial cohort when preparing promotions and in new product development.

To date, few, if any, academic studies have been done that segment the Millennial generational cohort. The research paper utilizes both cluster and correspondence analyses, which are the most appropriate for investigating segmentation in this setting.

While there are many articles in the popular press and practitioner journals concerning the Millennials (i.e., who they are and what we need to do about them), the academic literature on the subject is more limited. This chapter (1) extensively reviews this literature as published in practitioner, popular press, and academic journals across disciplines including psychology, sociology, management, human resources, and accounting education, and (2) surveys the generational study literature to determine what, if any, rigorous empirical studies exist to support (or refute) the existence of a distinct Millennial generational cohort. While the popular press is voluminous when it comes to avowed generational differences between Millennials and their predecessors, there is a paucity of peer-reviewed, academic, empirical work in the area and most of the latter suffers in some way from the overarching problem with generational research: the linear relationship between age, period, and generation that results in these variables being inherently entwined. However, even absent strong empirical evidence of a unique generational cohort, the literature offers extensive suggestions about what to do about the Millennials in our classrooms and work places. This chapter better informs accounting faculty about the traits of the current generation of accounting students that are supported by empirical research versus claims made in the popular press. It argues for a more reasoned “continuous improvement” approach to Millennials while offering some classroom suggestions for accounting faculty members.