Page 290 - Special Topic Session (STS) - Volume 2
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STS493 Sofie d.B. et al.
                  is  mostly  useful  for  purchases  that  involve  many  products/services
                  simultaneously and that are burdensome to insert into a diary/questionnaire.
                  The  HBS  might  make  use  of  scanner  data  from  shops,  as  well  as  bank
                  transaction data and loyalty card data. Scanner data would be limited to large
                  chains and can be matched to a  respondent via time-stamp and purchase
                  amount. Bank transaction data can cover purchases independent of shops but
                  have varying coverage depending on the penetration of electronic payments
                  in  the  target  country.  Requesting  bank  transaction  data  is  of course  more
                  intrusive to the respondent’s privacy. In project @HBS, financed by Eurostat,
                  the utility of these data sources is explored.
                     The  ICT  Survey  collects  survey  data  on  the  frequencies,  durations  and
                  purposes of use of all forms of contemporary ICT (TV, internet, social media,
                  mobile devices). The survey is not burdensome and a survey type instrument
                  is well-suited due to the lack of complex latent constructs. However, ICT use,
                  especially  frequency  and  duration,  and  details  about  the  respondent  ICT
                  facilities are non-central. As mobile devices are ICT by themselves and connect
                  to other ICT, they can provide sensor data about the use of the mobile devices
                  and connected devices. Obviously, the type of device and operating system
                  (OS)  may  be  derived.  Furthermore,  the  measurements  may  consist  of  the
                  frequency and type of use of the mobile device, such as social media, online
                  browsing, SMS texting, gaming, video streaming, taking pictures and phone
                  calls. Apart from the presence of apps on the device that are used for these
                  purposes, one may also consider the frequency and amount of use. However,
                  access to app (meta)data is, of course, limited for privacy reasons and the
                  potential  amount  and  detail  varies  between  apps,  even  when  respondents
                  would consent. The mobile device may also provide  insight into other ICT
                  through  its  Wi-Fi  connection(s)  and  through  Bluetooth  connections.  The
                  mobile device can, for example, measure the type, speed and strength of the
                  Wi-Fi at home or provide a list of Bluetooth connected devices. Although it is
                  not the purpose of the ICT, the mobile use data also present a view on the
                  general ICT profile of a person. The ICT surveys could benefit from social media
                  data or mobile phone provider data or internet provider data. Social media
                  data  would  be  provided  by  global  companies  like  Facebook,  Twitter  or
                  Instagram. Data access could be requested from the respondent for public
                  data by providing user names or handles, or from the companies for private
                  data. Mobile phone provider data would be contributed by a mobile phone
                  provider local to the country of the respondents. Possible data include phone
                  call,  SMS  and  internet  usage  as  well  as  time-location  data  with  a  coarse
                  resolution in space and time. The respondent’s internet provider could supply
                  data covering the internet use.





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