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Intra-Company Crowdsensing: Datafication with Human-in-the-Loop
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838806/ https://www.ncbi.nlm.nih.gov/pubmed/35161690 http://dx.doi.org/10.3390/s22030943 |
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author | Domaszewicz, Jaroslaw Parzych, Dariusz |
author_facet | Domaszewicz, Jaroslaw Parzych, Dariusz |
author_sort | Domaszewicz, Jaroslaw |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8838806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-88388062022-02-13 Intra-Company Crowdsensing: Datafication with Human-in-the-Loop Domaszewicz, Jaroslaw Parzych, Dariusz Sensors (Basel) Article 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. MDPI 2022-01-26 /pmc/articles/PMC8838806/ /pubmed/35161690 http://dx.doi.org/10.3390/s22030943 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Domaszewicz, Jaroslaw Parzych, Dariusz Intra-Company Crowdsensing: Datafication with Human-in-the-Loop |
title | Intra-Company Crowdsensing: Datafication with Human-in-the-Loop |
title_full | Intra-Company Crowdsensing: Datafication with Human-in-the-Loop |
title_fullStr | Intra-Company Crowdsensing: Datafication with Human-in-the-Loop |
title_full_unstemmed | Intra-Company Crowdsensing: Datafication with Human-in-the-Loop |
title_short | Intra-Company Crowdsensing: Datafication with Human-in-the-Loop |
title_sort | intra-company crowdsensing: datafication with human-in-the-loop |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8838806/ https://www.ncbi.nlm.nih.gov/pubmed/35161690 http://dx.doi.org/10.3390/s22030943 |
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