(Graphic courtesy of Express Employment Professionals)
American jobseekers and companies may be rethinking the traditional 40-hour work week as long as productivity remains at, or exceeds, current levels.
This is according to a recent survey from The Harris Poll commissioned by Express
Employment Professionals.
When given the option of working an 8-hour workday (but flexible start time), traditional 9am to 5pm or a compressed schedule such as 10 hours per day for 4 days a week, jobseekers most commonly pick an 8-hour day with a flexible start time (40%). Nearly 1 in 5 (18%) would prefer a compressed schedule.
And, if given the ability to design their own work schedule (i.e., working non-traditional hours for the same pay), most feel they would be more productive (56%) or they would have about the same level of productivity (39%).
And it appears that companies may also be embracing the idea of non-traditional work schedules.
More than 9 in 10 hiring managers (94%) report employees at their company are productive — with nearly half (48%) saying they are very productive currently. And, if given the ability to design their own schedules, hiring managers feel employees would have about the same level of productivity (53%) or even be more productive (35%).
Ultimately, it appears 40-hour work weeks are not necessarily needed to have a productive workforce. And, two-thirds of jobseekers (66%) agree they will soon be a thing of the past.
However, there still appears to be some hesitation in companies offering this amount of flexibility.
Three-quarters of hiring managers (75%) say they have some concerns about their company offering flexible work hours, including decreased productivity (30%), increased distractions (29%), delayed communications (28%), and an inability of employees to collaborate (28%).
“I think flexibility is a key component to creating a good culture within your organization when it comes to creating a good work-life balance for your employees. This leads to better staff retention and makes your openings more favorable to potential applicants.”
Said Chris Petty franchise manager of the Central Oregon Express franchise office.
Despite the return of some segments to the workforce, businesses are still desperate for workers, and figuring out what incentives work best for employees at individual companies is key, according to Express Employment International CEO Bill Stoller said.
“If production can remain high while offering flexible scheduling options, it may be worth it to try,” he said.
Survey Methodology
The Job Insights survey was conducted online within the United States by The Harris Poll on behalf of Express Employment Professionals between December 1 and December 15, 2022, among 1,002 U.S. hiring decision-makers (defined as adults ages 18+ in the U.S. who are employed full-time or self-employed, work at companies with more than one employee, and have full/significant involvement in hiring decisions at their company). Data were weighted where necessary by company size to bring them into line with their actual proportions in the population. Respondents for this survey were selected from among those who have agreed to participate in our surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within + 3.2 percentage points using a 95% confidence level. This credible interval will be wider among subsets of the surveyed population of interest.
The omnibus survey was conducted online within the United States by The Harris Poll on behalf of Express Employment Professionals from December 13-15, 2022, among 2,041 adults ages 18 and older. Data are weighted where necessary by age, gender, race/ethnicity, region, education, marital status, household size, household income and propensity to be online, to bring them in line with their actual proportions in the population. Respondents for this survey were selected from among those who have agreed to participate in our surveys. The sampling precision of Harris online polls is measured by using a Bayesian credible interval. For this study, the sample data is accurate to within + 2.8 percentage points using a 95% confidence level.
