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The Hiring Site

New Research on Hiring Mistakes Calls for a Change to the Old Way of Thinking

Nov 14, 2008

Funny Jason Ferrara, VP of Corporate Marketing at CareerBuilder.com, should talk about how data-driven recommendation engines change our lives, because the sudden disappearance of the “recommended for you” feature on my iTunes store homepage seems to have completely disrupted mine.

In the past few months, I’ve come to rely very heavily on this feature for quick, easy help with everything from creating party mixes to adding a little variety to my workout playlist.  It was like having a music-savvy friend – there when I needed it, always with a list of new music it knows I’ll like – only better because I could download the music right away, and I know it can never judge me for owning the occasional Miley Cyrus song.

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HELP WANTED: 5 Tricks for Making Job Posting Magic

Nov 14, 2008

With your job posting, you’ve got the basics down, and your job description is top-notch—selling the position, your company, and providing the right information to ensure only qualified candidates will apply. But is it getting enough expressions of interest (EOI)?

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Every Day Should Be Veterans Day at the Office

Nov 11, 2008

Today is Veterans Day. Yesterday, CareerBuilder.com released the results from its annual Veterans Day survey, wherein nearly one in five U.S. Veterans say it took them six months or longer to find a job after getting out of military service. 

Considering all the reasons to hire veterans, including their extensive training and work ethic,  this news is disappointing.  But then, about 20 percent of the 6,842 U.S. workers surveyed believe the biggest obstacle to getting hired for a civilian position is employers’ inability to understand how military skills can fulfill qualifications for civilian positions.

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Making Social Networking Part of Your Recruiting Mix

Nov 11, 2008

Most of the marketing conferences I attend these days are heavily focused on social and/or professional networks. These online communities are places where you can do any number of things from share pictures and reminisce about college days to “meet” and interview potential employees. The two big sites out there in this space are Facebook and LinkedIn. Facebook prides itself on being a “social” network and LinkedIn is a “professional” network (don’t call it “social” when talking to their team).

And, at most of these conferences, someone on a panel or on the stage says this, “The lines have blurred between your social life and your work life.” In fact, I just said that on a panel a few weeks ago… Anyhow, it is true. If you are out there, you are out there. And, ultimately you control your destiny – as do those folks you are thinking about hiring.

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Taking Innovation into Consideration: Why These 5 Companies are “Most Admirable”

Nov 10, 2008

I recently re-read Fortune’s list of this year’s Most Admired Companies, and I noticed how much the idea of “innovation” was mentioned.  Because I also happened to have diversity on the brain, it occurred to me how closely diversity and innovation are combined.   After all, what is innovation if not the result of divergent thinking and untapped ideas?  But on top of that, it’s also about cultivating a culture that encourages new ideas, learning, skill development,  career advancement, etc. 

With all of this in mind, I looked at Fortune’s separate list of the Most Admirable Companies for managing talent to see what they’re doing right with regards to these elements, and how the combination invariably leads to continued success.

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How Recommendations Change Our Lives

Nov 10, 2008

I just finished a book titled Super Crunchers, written by Ian Ayres. The theory of the book is that large-dataset analysis is fast becoming the way to make decisions in a variety of fields, from Web analysis to purchasing to criminal justice. Call it the end of human intuition, but the notion is not as overwheming as you might think. The concept of data mining is not new and over the past ten years several major breakthroughs make it possible for real people (like me) to engage in number crunching on the piles of data we keep. All done through smaller, faster computers, more access to data than ever before and easy-to-use analytical software that doesn’t compromise rigor for speed.

An everyday example of this type of data analysis is the kind of recommendations each of us is likely to see each day. Consider some of the following:

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