|Men vs Women in Job attractivenss|
Tuesday, 23 July 2013 05:45Written by PR NEwswire
Although salary and benefits rank as the biggest draw for both men and women when it comes to choosing an employer, significant gender differences exist when it comes to defining other elements of employer attractiveness, according to a recent employer branding survey conducted by Randstad US.
Randstad recently surveyed 7,000 people nationwide with a variety of backgrounds and occupations to find out the key factors that go into employer attractiveness.
"How a company is perceived as an employer impacts what types of candidates it will attract," said Lisa Crawford, senior vice president, Randstad U.S. "As our research reveals, companies may need to focus on key elements, such as building culture and adopting more flexible work policies, to appeal to different demographics. Attracting and retaining talent is not a one stop shop—particularly with a diverse workforce and multiple generations sitting side-by-side to one another."
Companies Must Assess What Their Brand Means
"As the job market continues its steady momentum and employee confidence increases, more employees will keep their options open for other opportunities," Crawford said. "If companies are to retain and attract the best talent, they first need to assess what their brand really means, determine what keeps their talent coming through their doors and how to attract the next wave of workers who may have different expectations than what their company currently offers.
"With women making up half the workforce, they should also consider the unique things that women value when choosing an employer. Investing in building a strong employer brand will pay off in a stable workforce, a better match of talent within your organization and increased engagement and productivity."
Respondents are invited by means of online interviews to select the companies they know from a random list; each company is set to appear approximately 1,500 times at random during the entire survey.
The margin of error on a sample of 1,500 is plus or minus 1.245 percentage points at the 95 percent level of confidence. This means that there is a 95 percent chance that the responses of the target population as a whole would fall somewhere between 1.245 percent more or 1.245 percent less than the responses of the sample (confidence interval of 2.49 percent on the worst case percentage of 50 percent).
About Randstad US