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

Author

Listed:
  • Domaszewicz, Jaroslaw
  • Parzych, Dariusz

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.

Suggested Citation

  • Domaszewicz, Jaroslaw & Parzych, Dariusz, 2022. "Intra-Company Crowdsensing: Datafication with Human-in-the-Loop," MPRA Paper 112608, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:112608
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    References listed on IDEAS

    as
    1. Virginia Pilloni, 2018. "How Data Will Transform Industrial Processes: Crowdsensing, Crowdsourcing and Big Data as Pillars of Industry 4.0," Future Internet, MDPI, vol. 10(3), pages 1-14, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    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;
    All these keywords.

    JEL classification:

    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management

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