Work-related tech predictions for 2022.
| Published in: | Work Vol. 71; no. 1; pp. 1 - 3 |
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| Main Author: | |
| Format: | editorial Journal Article |
| Published: |
Sage Publications Inc.
2022
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154734240&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154734240 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10519815 3RC jtl: Work issn: 10519815 maglogo: N pubinfo: dt: 2022 vid: 71 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 154734240 154734240 154734240 10.3233/WOR-213625 154734240 ppf: 1 ppct: 2 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Work-related tech predictions for 2022. aug: au: Jacobs, Karen affil: Occupational therapist & ergonomist, workjournal.org, blogs.bu.edu/kjacobs/ sug: subj: Serial Publications Technology Information Technology COVID-19 Pandemic Machine Learning pubtype: Academic Journal doctype: editorial Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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