German Sample Clause Samples

German Sample. Due to the higher level of data protection legislation in Germany, I was unable to obtain a similar list of directors and company executives for German businesses. Therefore, I downloaded a dataset of actively trading German manufacturing firms (Industry Sector C Manufacturing Industries in the German Industry Classification Scheme WZ 2008) with 1,000 or more employees. I included all directors who were listed with their name and role description. My initial dataset contained 17,799 individual entries for 1,189 companies with a mean of 15 entries per company. As the dataset contained large variation of role and job title descriptions, I manually checked each company and scanned for the entries of the executives (e.g. CFO, CEO, CSO) or head of IT. If more than one individual per company fitted those criteria, I randomly selected one of those individuals. For every other firm, I selected two or even three individuals, especially if a firm had ten or more eligible entries that matched my criteria. This was to align the overall characteristics of the German list to that of the UK list. Once the manual scan of the list was completed, I had a list of 1,210 contacts in 1,187 firms. While the postal addresses for the firms were included in the dataset, I still needed to obtain the personal email addresses for each of the chosen contacts in each company. For this I used an online Internet platform called Neverbounce which is an online tool that tests the validity of email addresses. Neverbounce produces four different outcomes: “valid” for email addresses that can be confirmed as functional; “accept all” where the server accepts all incoming emails and thus the platform is not able to definitely confirm whether the email