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Related Concept Videos

Data Collection by Experiments01:13

Data Collection by Experiments

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Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
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Data Collection by Observations01:08

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Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection III01:05

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
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Data Collection II01:29

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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Data Collection I01:30

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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The HoneyComb Paradigm for Research on Collective Human Behavior
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Intra-Company Crowdsensing: Datafication with Human-in-the-Loop.

Jaroslaw Domaszewicz1, Dariusz Parzych2

  • 1Institute of Telecommunications, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, Poland.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary

Intra-company crowdsensing (ICC) extracts valuable employee knowledge to enhance organizational situational awareness. While concerns about surveillance exist, employees generally view ICC positively, recognizing its potential for useful information gathering.

Keywords:
IoTcontext awarenessdigital/human work configurationhuman sensorhuman-computer interactioninternal crowdsourcingmobile crowdsensingorganizational aspectsparticipatory sensing

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Area of Science:

  • Information Science
  • Organizational Behavior
  • Human-Computer Interaction

Background:

  • Companies possess untapped knowledge held by employees.
  • This "occurrence data" can significantly improve situational awareness.
  • Existing methods often fail to capture this valuable internal information.

Purpose of the Study:

  • To introduce and conceptualize Intra-Company Crowdsensing (ICC) as a novel method for knowledge extraction.
  • To explore the human-system interaction, architecture, and organizational processes for ICC.
  • To evaluate employee perceptions and concerns regarding ICC.

Main Methods:

  • Conceptualization of Intra-Company Crowdsensing (ICC).
  • Development of a human-system interaction model, system architecture, and organizational process.
  • Conducting a survey to gather employee feedback on the ICC concept.

Main Results:

  • A significant majority of survey respondents reacted positively to the ICC concept.
  • Key concerns identified include the perception of ICC as an employee surveillance tool.
  • The study suggests that useful and acceptable sensing requests are feasible within organizations.

Conclusions:

  • Intra-Company Crowdsensing (ICC) offers a promising approach to leverage employee knowledge for improved situational awareness.
  • Addressing employee concerns regarding privacy and surveillance is crucial for successful ICC implementation.
  • The potential benefits of ICC in extracting valuable organizational insights are substantial.