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Tham khảo tài liệu 'practical applications and recommendations global reality_2', kinh doanh - tiếp thị, quản trị kinh doanh phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | Navigating the Complexities of a Global Organization 19 policies are guided by local laws and statutes including unions in the United States and work councils in Europe. In recent years organizations now also have to address international data privacy laws including whistleblower guidelines and data transfers EthicsPoint 2009 . In response to the growing use of technology in database management and the concern regarding technology intruding on personal privacy the European Union passed a broad law a decade ago that impacts cross-border transfer of personal data including HRIS Human Resources Information Systems data. Data privacy laws have tremendous implications for HRIS databases and the kinds of information that organizations can collect. Data collected in European countries cannot be transferred to the United States easily. This law frustrates U.S.-based multinational organizations the headquarters of which need to access HR data about their own European workforce. The EU data laws impose tight restrictions on transferring personal data outside of Europe especially to the United States and other countries whose local laws do not offer EU-caliber protections. The cross-border transfer restriction is an obstacle for any organization trying to create a global HRIS. Data privacy laws have also made some HR-specific operations more challenging. France Belgium Spain Canada Germany Ireland and Japan all have data privacy laws which are different from U.S. laws Wugmeister Retzer Rich 2007 . This creates conflicting parameters by which to conduct business. For example precoding of demographic information in employee surveys becomes problematic in countries where data privacy laws prohibit capturing and transferring this information. In those situations demographic information must be captured as self-report data adding more time for the survey participant. Precoded data adds complexity when not consistently deployed. For example ideally an organization should administer
