Literature DB >> 31046946

Employee acceptance of wearable technology in the workplace.

Jesse V Jacobs1, Lawrence J Hettinger2, Yueng-Hsiang Huang3, Susan Jeffries2, Mary F Lesch2, Lucinda A Simmons2, Santosh K Verma2, Joanna L Willetts2.   

Abstract

Wearable technology has many industrial applications. Optimal use adherence and outcomes largely depend on employee acceptance of the technology. This study determined factors that predict employee acceptance of wearables. An online survey of 1273 employed adults asked about demographics, job and organizational characteristics, experience with and beliefs about wearables, and willingness to use wearables. Use cases focused on workplace safety elicited the highest acceptance. An employee's performance expectancy and their organizational safety climate were common predictors of acceptance across use cases. Positive past experiences coincided with involving employees in choosing the device and adequately informing them about data use. Organizations intending to implement wearable technology should (a) focus its use on improving workplace safety, (b) advance a positive safety climate, (c) ensure sufficient evidence to support employees' beliefs that the wearable will meet its objective, and (d) involve and inform employees in the process of selecting and implementing wearable technology.
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Industrial workplace ergonomics; Safety climate; Technology acceptance; Wearable technology; Work measurement

Mesh:

Year:  2019        PMID: 31046946     DOI: 10.1016/j.apergo.2019.03.003

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  6 in total

1.  Wearable Biosensors in the Workplace: Perceptions and Perspectives.

Authors:  Lauren C Tindale; Derek Chiu; Nicole Minielly; Viorica Hrincu; Aline Talhouk; Judy Illes
Journal:  Front Digit Health       Date:  2022-07-04

Review 2.  Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics.

Authors:  Harish Chander; Reuben F Burch; Purva Talegaonkar; David Saucier; Tony Luczak; John E Ball; Alana Turner; Sachini N K Kodithuwakku Arachchige; Will Carroll; Brian K Smith; Adam Knight; Raj K Prabhu
Journal:  Int J Environ Res Public Health       Date:  2020-05-19       Impact factor: 3.390

3.  Exploring Smart Glasses for Augmented Reality: A Valuable and Integrative Tool in Precision Livestock Farming.

Authors:  Maria Caria; Gabriele Sara; Giuseppe Todde; Marco Polese; Antonio Pazzona
Journal:  Animals (Basel)       Date:  2019-11-01       Impact factor: 2.752

4.  Study for the Design of a Protocol to Assess the Impact of Stress in the Quality of Life of Workers.

Authors:  Patricia Concheiro-Moscoso; Betania Groba; Francisco José Martínez-Martínez; María Del Carmen Miranda-Duro; Laura Nieto-Riveiro; Thais Pousada; Cristina Queirós; Javier Pereira
Journal:  Int J Environ Res Public Health       Date:  2021-02-03       Impact factor: 3.390

5.  A Governance Framework to Assist with the Adoption of Sensing Technologies in Construction.

Authors:  Mona Arabshahi; Di Wang; Yufei Wang; Payam Rahnamayiezekavat; Weichen Tang; Xiangyu Wang
Journal:  Sensors (Basel)       Date:  2021-12-30       Impact factor: 3.576

6.  The Predictive Factors of New Technology Adoption, Workers' Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice.

Authors:  Chiara Panari; Giorgio Lorenzi; Marco Giovanni Mariani
Journal:  Int J Environ Res Public Health       Date:  2021-11-24       Impact factor: 3.390

  6 in total

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