Dataset: Intra-Company Crowdsensing: Datafication with Human-in-the-Loop.

Intra-Company Crowdsensing: Datafication with Human-in-the-Loop (Dataset).

Abstract: Every
day employees learn about things happening in their company. This includes plain
facts witnessed while on the job, related or not to one’s job responsibilities.
Many of these facts, which we call “occurrence data,”,
are known by employees but remain unknown to the company. We suppose that some
of them are valuable and may improve the company’s situational awareness. In
the spirit of mobile crowdsensing, we propose intra-company crowdsensing (ICC),
a method to of “extracting”
occurrence data from employees. In ICC, an employee occasionally responds to
sensing requests, each about one plain fact. We elaborate the concept of ICC, proposing
a model of human-system interaction, a system architecture, and an
organizational process. We position ICC with respect to related concepts from information
technology, and we look at it from selected organizational and managerial
viewpoints. Finally, we conducted a
survey, in which we presented the concept of ICC to employees of
different companies and asked for their evaluation. Respondents
positive about ICC outnumbered skeptics by a wide margin. The
survey also revealsed some
concerns, mostly related to ICC being perceived as another employee
surveillance tool. However, useful and acceptable sensing requests are likely
to be found in every organization.

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Online Questionnaire

The survey was conducted as a
computer-assisted web interview (CAWI). We started with a short pilot phase and
noticed that a number of pilot respondents had mistakenly understood that ICC
covered not just plain facts, but also opinions or interpretations. To avoid
the confusion, we explained the concept more clearly in the introduction to the
questionnaire and added reminders to some of its questions. It took about
fifteen minutes to complete the revised questionnaire. We used
non-probabilistic, convenience sampling. An invitation
to the survey was distributed via the newsletter of the Centre for Innovation
and Technology Transfer Management at Warsaw University of Technology as well
as via social media. We stressed that we were seeking respondents with work
experience.
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