SAPVoice: Should Big Data Be Used To Measure Employee Productivity? By Joe Sherwood, Human Capital Management Practice, SAP From smart phones to smart watches, GPS tracking, autonomous driving vehicles, Bluetooth headsets, and online teleconferencing, technology is becoming increasingly integrated into daily life and basic human functioning.
With the amount of interfacing we do with technology growing rapidly and exponentially, it has become easy for companies to track and collect data related to our behavior. Never before have we had the ability to collect and analyze such quantities of complex data about what people are doing and when they are doing it. Le mythe de la compétitivité par la flexi-sécurité peut-il résister au pillage du monde ? Big Data, Trying to Build Better Workers. In telephone call centers, for example, where hourly workers handle a steady stream of calls under demanding conditions, the communication skills and personal warmth of an employee’s supervisor are often crucial in determining the employee’s tenure and performance.
In fact, recent research shows that the quality of the supervisor may be more important than the experience and individual attributes of the workers themselves. New research calls into question other beliefs. Employers often avoid hiring candidates with a history of job-hopping or those who have been unemployed for a while. Scientific Management Redux: The Difference Is in the Data. John-Patrick Thomas I wrote a Sunday column about the rise of what is being called “work force science.”
Lots of companies are embracing the trend, but anyone familiar with business history might reasonably ask, What’s really new here? Certainly, the current enthusiasm for worker measurement and trait testing has its echoes in the past. Frederick Winslow Taylor’s time-and-motion studies of physical labor, like bricklaying and shoveling coal, became the “scientific management” of a century ago. And for decades, major American corporations employed industrial psychologists and routinely gave job candidates personality and intelligence tests. Companies pulled back from such statistical analysis of employees in the 1970s, amid questions about its effectiveness, worker resistance and a wave of anti-discrimination lawsuits.
Cas LinkedIn. Mesurer la productivité des employés. L'Atelier de l'emploi Manpower. Evolv. To us, business is personal. Mitchell Hoffman » Research. Publications.
Transcom. Marc Rotenberg. "Privacy is the most comprehensive of all rights and the one most cherished by a free people.
" - Justice Louis Brandeis Marc Rotenberg is Executive Director of the Electronic Privacy Information Center (EPIC) in Washington, DC. He teaches information privacy law at Georgetown University Law Center and has testified before Congress on many issues, including access to information, encryption policy, consumer protection, computer security, and communications privacy. He testified before the 9-11 Commission on "Security and Liberty: Protecting Privacy, Preventing Terrorism. " He has served on several national and international advisory panels, including the expert panels on Cryptography Policy and Computer Security for the OECD, the Legal Experts on Cyberspace Law for UNESCO, and the Countering Spam program of the ITU. He currently chairs the ABA Committee on Privacy and Information Protection.
He is the former Chair of the Public Interest Registry, which manages the .ORG domain. Yale School of Management. Le recrutement et la productivité à l’heure des Big Data. L'analyse des grandes quantités de données - le Big Data - est appelée à révolutionner bien des domaines.
L'emploi et les ressources humaines pourraient même devenir l'un de ses premiers terrains d'application. Bien sûr, rappelle Steve Lohr dans Bits, le blog techno du New York Times, "la science de la force de travail" - comme on commence à l'appeler - n'est pas nouvelle. Le management "scientifique" et la mesure statistique de l'efficacité du travail ou du recrutement ont déjà connu bien des méthodes... (et pas que des succès) : "Ce qui est différent aujourd'hui", explique Mitchell Hoffman, économiste et chercheur à l'école de Management de Yale, "est le montant et le détail des données sur les travailleurs qui sont recueillies".
Vers la science de la force de travail. Le recrutement prédictif, prochain buzzword des RH ? Quand on parle de la transformation des entreprises, beaucoup de concepts sont à la mode.
En ce moment par exemple on parle énormément (trop ?) De la digitalisation ou du big data. Il y a un autre concept RH qui va faire parler de lui de plus en plus : le recrutement prédictif. Une expression mystérieuse qui pourrait laisser croire que les recruteurs vont devenir des mediums capables de savoir avant vous si vous devez être embauché, ou si vous allez partir avant la fin de votre période d’essai. eHarmony to Help Employers Find That Special Someone. We've come a long way since SWFs sought N/S SWMs, 24-35, for LTRs.
Online dating company eHarmony, which claims that it has helped to create over half a million marriages, says it is ready to venture into new territory: the job market. The company plans to launch a new product that will match jobseekers and employers, allowing them to create lasting, meaningful (working) relationships with each other. "We know that it's between 50 and 75 percent of all people say they're not really happy with the jobs they currently have," says Neil Clark Warren, the founder and CEO of eHarmony. "We're trying to bring to bear some of the algorithms that we've already understood from all of the work we've done on matching people for marriage. " Warren says that the company hopes to launch the job-matching site in June.
Though creating a new job search tool from scratch is a daunting task, the idea is to leverage the company's existing matching expertise by moving it into new territory. EPIC - Electronic Privacy Information Center. Digital Business at MIT. Erik Brynjolfsson, Bio. Peter Cappelli - Management Department. French: The Most Productive People In The World. Wharton Center for Human Resources. eHarmony - #1 Trusted Online Dating Site. In 1997, after 35 years practicing as a clinical psychologist and counseling thousands of married couples, Dr.
Neil Clark Warren had come to believe that there was a better way to find love than leaving it up to chance. He knew from his experience in clinical work that although some American marriages were ending in divorce, many others were deeply satisfying unions of two fulfilled individuals. He observed that, in many cases, the marriages that endured were composed of compatible people, while marriages that deteriorated often did so because the differences between the individuals became harder to resolve over time. What if he could define the traits most likely to lead to relationship success? Could certain characteristics predict compatibility and lead to more satisfying relationships? Dr. Referrals.pdf.