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

Jaroslaw Domaszewicz and Dariusz Parzych

MPRA Paper from University Library of Munich, Germany

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 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 revealed 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.

Keywords: algorithmic management; context awareness; customer feedback devices; datafication; digital/human work configuration; employee communication; experience sampling; human-computer interaction; human sensor; internal crowdsourcing; IoT; mobile crowdsensing; non-hierarchy based work; organizational citizenship behavior; organizational culture; organizational process; participatory sensing; persuasive technologies; pulse surveys (search for similar items in EconPapers)
JEL-codes: M14 M54 (search for similar items in EconPapers)
Date: 2022-01-26
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