IVEntrepreneurshipAnalysis
Generations at Work: What Really Lies Behind the Differences
Baby boomers, Generation X, millennials, or Generation Z: hardly any leadership topic is explained with labels as often as the coexistence of different age groups. This analysis shows what studies actually find and why life stage and circumstances usually explain more than year of birth.
Key takeaways
- A meta-analysis of 20 studies with almost 20,000 employees found only small, often near-zero differences between generations in job satisfaction, commitment, and turnover intention (Costanza et al. 2012).
- A more recent meta-analysis of 143 independent samples confirms this: hardly any systematic, meaningful differences (Ravid, Costanza, and Romero 2025).
- What looks like a generational difference can be an age effect, a period effect, or a cohort effect. The three cannot be cleanly separated with the usual data.
- For owners, it follows that life stage, role, and labor market explain more than the label. Whoever leads by labels risks creating expectations that then fulfill themselves.
Are generations at work really that different?
In many businesses today, four age groups work side by side: employees close to retirement, experienced staff in mid-career, young skilled workers, and apprentices. That this creates friction is normal. What is striking is how often this friction is explained by generations: the young do not want overtime, the older ones do not want new software, the ones in the middle have no time.
A generation in the sense of this debate is a group of people born in a certain period, for example the baby boomers between the mid-1940s and the mid-1960s. The assumption behind it: shared experiences at a young age shape shared attitudes. This piece asks: What lies behind the differences owners observe between age groups in the business, and how should they deal with them?
To answer it, I first introduce a thinking model that separates three possible causes of differences. Then I summarize what two meta-analyses find, weigh two readings, and derive what this means for leadership in the business.
The thinking model: age, period, and cohort
When a 25-year-old and a 58-year-old differ in their expectations of work, there are three possible explanations. Research calls them the age effect, the period effect, and the cohort effect. Ravid, Costanza, and Romero (2025) describe them as follows: age effects arise from maturation, life stage, and development. Period effects arise from events of a particular time that affect everyone simultaneously. Cohort effects, true generational effects, arise from experiences a birth group shared at a formative age.
| Effect | Cause | Example in the business | What follows |
|---|---|---|---|
| Age effect | Life stage, family, health, work experience | A young mother wants predictable working hours, a career starter wants fast development | Changes with age, affects every generation at some point |
| Period effect | Circumstances at a particular time, such as the labor market | In a skills shortage, all applicants make higher demands, the young most visibly | Affects all age groups at the same time |
| Cohort effect | Shared formative experiences of a birth group | A group that grew up with smartphones communicates differently | Stays with the group for life |
The problem lies in how the three quantities are connected. Whoever was born in a particular year and is surveyed today has a fixed age. Age, time of measurement, and year of birth are therefore mathematically linked. With the usual data, a survey at one point in time, it is not possible, according to Ravid and colleagues, to determine which of the three effects causes a difference. Whoever attributes a difference to a generation is therefore often making an assumption, not an observation.
An everyday analogy: whoever notices that students spend less money than fifty-year-olds does not conclude that today's youth is frugal. They simply have less money. In twenty years they will spend more. Exactly this confusion of life stage and imprinting lies in many statements about generations.
What meta-analyses find about generations at work
A meta-analysis statistically combines the results of many individual studies. It is the strongest tool for finding out whether a finding holds across many investigations. For generations at work, two such studies are now available.
Costanza, Badger, Fraser, and colleagues (2012) found 20 studies with a total of 19,961 respondents that compared four generations on job satisfaction, organizational commitment, and turnover intention. The differences were small to moderate, and in many comparisons practically zero. The authors conclude that meaningful differences between generations on these variables probably do not exist and that interventions specifically tailored to generations are unlikely to be effective.
Source: Costanza et al. (2012)
The chart deliberately shows the largest values, the outliers. Most of the 18 pairwise comparisons were well below, many close to zero. A value of 0.25 means that the averages of two groups differ by a quarter of the usual spread. The distributions of the two groups overlap for the most part.
Ravid, Costanza, and Romero (2025) repeated the analysis with much more material. They evaluated 143 independent samples and extended the variables to work values, engagement, work-life balance, and stress and burnout. Their result: few systematic, meaningful differences. In a second study, they read the discussion sections of more than 130 of these studies. The researchers there had frequently discounted null or ambiguous results and rarely questioned the concept of generations.
Source: Costanza et al. (2012); Ravid, Costanza, and Romero (2025)
Two readings: generations explain a lot or almost nothing
The first reading holds on to generations as an explanation. It points out that people who grew up with the internet really do communicate differently from those who wrote letters. Some studies find differences in individual work values. For owners, the label is also practical: it provides a quick language for tensions in the team. A critical review by Clements (2025) acknowledges that the evidence is mixed.
The second reading considers generations a weak explanation. It relies on the meta-analyses and on the problem of the three effects. Clements (2025) also points out that the boundaries between generations are drawn arbitrarily: someone born in 1964 is supposed to differ fundamentally from someone born in 1966. Ravid and colleagues compare the labels with zodiac signs: they offer belonging and differentiation, but little explanation.
Generations explain a lot
- Formative experiences shape attitudes
- Differences in dealing with technology are visible
- Simple language for tensions in the team
- Risk: stereotypes and the wrong measures
Life stage and circumstances explain more
- Meta-analyses find hardly any differences
- Age, period, and cohort cannot be separated
- Boundaries between generations are arbitrary
- Consequence: look at people and life stages
My assessment: the second reading is much better supported by the evidence. This does not mean that there are no differences between young and older employees. It means that they can usually be better explained by life stage and labor market than by year of birth. If young applicants today negotiate more confidently, this is probably less due to their generation than to the fact that skilled workers are scarce. The article the skills shortage in sales describes how this situation is developing.
Why generational labels can do harm in the business
One might think the labels are harmless, even if they explain little. Ravid, Costanza, and Romero (2025) give three reasons why this is not so.
- Legal risks: whoever treats employees differently by age group comes close to discrimination on grounds of age. In Germany, the General Equal Treatment Act (AGG) prohibits such discrimination in working life. The study refers to American law, but the basic idea is transferable.
- Less engagement: whoever notices that their employer already has a picture of what they are like as a member of a generation does not feel seen. The authors refer to research according to which age stereotypes are associated with lower engagement and weaker performance.
- Self-fulfilling expectations: whoever assumes that young people will soon leave anyway invests less in their development. The young sense this and actually leave. The initial assumption seems to be confirmed, even though it was the cause.
Whoever leads employees by their year of birth ends up leading a cliché rather than a person.
What owners can do instead
If year of birth explains little, leadership needs other reference points. Three questions are more helpful than any label: what life stage is the person in? What role do they have in the business? What has just changed in their situation or in the labor market?
Describe differences, do not label them
When there are tensions in the team, describe the concrete behavior: who expects what, and how does the conflict show? This turns "the young ones" into a question that can be solved.
Take life stages seriously
Predictable working hours, development, health, transition into retirement: these needs change over the course of a working life. Ask about them in one-on-one conversations instead of deriving them from age.
Hold conversations about staying
Ask employees of every age what keeps them and what might make them leave. How such stay interviews work is described in employee retention in a small business.
Pass knowledge between old and young deliberately
Experienced staff have knowledge that is written down nowhere, young staff often have different skills. Mixed teams and tandems use both. How knowledge is secured before retirement is described in securing knowledge before experienced employees leave.
Review your own leadership style
Clear agreements and genuine interest in development work for all age groups. What research says about the effect of leadership styles is summarized in leadership styles compared.
- I explain tensions in the team with concrete behavior, not with generations.
- I ask about life stage and expectations in one-on-one conversations instead of assuming them.
- My rules on working hours, training, and pay apply equally to all age groups.
- Young and experienced employees deliberately work together in at least one area.
Conclusion: what lies behind differences between generations?
We began by asking lies behind the differences owners observe between age groups in the business and how they should deal with them. The research answer is sobering for everyone who likes to work with labels. Two meta-analyses with several hundred samples between them find hardly any systematic, meaningful differences between generations in satisfaction, commitment, turnover intention, engagement, and work values.
What looks like a generational difference is often a difference in life stage or a consequence of the labor market. With the usual data, these causes cannot be cleanly separated, and the generational label is therefore usually an assumption. Whoever leads by labels risks legal problems, less engagement, and expectations that fulfill themselves.
For owners, a simple rule follows: ask about the person, their life stage, and their situation, not about their year of birth. Differences in the business are real, but they rarely run along the lines the labels draw.
Frequently asked questions
Are there really differences between generations at work?
According to two meta-analyses, hardly any. Costanza and colleagues (2012) found only small, often near-zero differences in satisfaction, commitment, and turnover intention across 20 studies with almost 20,000 respondents. Ravid, Costanza, and Romero (2025) confirmed this with 143 samples and further variables such as work values and engagement.
What is the difference between age, period, and cohort effects?
An age effect arises from life stage and maturation, a period effect from events of a time that affect everyone, a cohort effect from shared formative experiences of a birth group. With surveys at one point in time, the three cannot be cleanly separated, because age, time of measurement, and year of birth are mathematically linked.
How do you lead a team with different age groups?
Explain tensions with concrete behavior instead of generations, ask about life stage and expectations in one-on-one conversations, and treat all age groups by the same rules. Mixed teams and tandems help pass on knowledge between experienced and young employees.
Does Generation Z really want to work differently?
The available meta-analyses find little evidence of fundamentally different attitudes in individual generations. If young employees make different demands today, this is often due to their life stage and to a labor market in which skilled workers are scarce. This situation affects applicants of all age groups.
Can employees be treated differently by age?
In Germany, the General Equal Treatment Act prohibits discrimination on grounds of age in working life, with narrowly limited exceptions. Rules that distinguish by age group should therefore be reviewed by an employment lawyer beforehand. This note is not legal advice.
Sources
- Costanza, D. P.; Badger, J. M.; Fraser, R. L.; Severt, J. B.; Gade, P. A. (2012): Generational Differences in Work-Related Attitudes: A Meta-analysis. Journal of Business and Psychology, 27(4), pp. 375-394.
- Ravid, D. M.; Costanza, D. P.; Romero, M. R. (2025): Generational differences at work? A meta-analysis and qualitative investigation. Journal of Organizational Behavior, 46(1), pp. 43-65.
- Clements, A. J. (2025): A critical review of research on work-related differences in generational cohorts. Occupational Psychology Outlook, 4(1), pp. 27-40.
