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Jennifer L Ziegelmayer

Biographic Data

ID9638682
NAMEJennifer L Ziegelmayer
GIVEN NAMESJennifer L
FAMILY NAMEZiegelmayer
SIGNATUREZIEGELMAYER J L
AFFILIATIONSInstitut d'Economie Scientifique Et de Gestion
ORCID0000-0002-9674-6557
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
AUTHOR COUNT3
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2024
H-INDEX0
  • The greening of IT use

    Open Access•Frank Goethals, Jennifer L Ziegelmayer•ARTICLE•Information Technology and People•2024

    Purpose Internet use has a high environmental footprint that is often overlooked by end users. This paper contributes to limiting the negative environmental footprint of Information Technology (IT) use by understanding the relationship between environmental concerns and use of IT amongst users who are aware of the environmental footprint of IT use. Second, the paper argues that taking environmental concerns into account in technology acceptance s…

  • Anxiety buffers and the threat of extreme automation

    Open Access•Frank Goethals, Jennifer L Ziegelmayer•ARTICLE•Information Technology and People•2022

    Purpose The advent of extreme automation from new technologies such as artificial intelligence portends a massive increase in unemployment. The psychological impact of this threat on the workforce is critically important. This paper aims to examine the functioning of individuals' anxiety buffers in response to this threat. Design/methodology/approach A two-stage mixed-methods design is used. In stage 1, qualitative data are gathered through semi-…

  • The moderating effect of technology overload on the ability of online learning to meet students' basic psychological needs

    Open Access•Tabitha James, Jie Zhang et al.•ARTICLE•Information Technology and People•2022

    Purpose Most students are considered digital natives and are presumably equipped to handle extensive technology use. However, online learning turns students into involuntary telecommuters when it is the primary modality. The prevailing trends of online learning, digital socialization, telehealth and other online services, combined with remote work has increased students' reliance on information and communications technologies (ICTs) for all purpo…

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  • Anxiety buffers and the threat of extreme automation

    Open Access•Frank Goethals, Jennifer L Ziegelmayer•ARTICLE•Information Technology and People•2022

    Purpose The advent of extreme automation from new technologies such as artificial intelligence portends a massive increase in unemployment. The psychological impact of this threat on the workforce is critically important. This paper aims to examine the functioning of individuals' anxiety buffers in response to this threat. Design/methodology/approach A two-stage mixed-methods design is used. In stage 1, qualitative data are gathered through semi-…

  • The moderating effect of technology overload on the ability of online learning to meet students' basic psychological needs

    Open Access•Tabitha James, Jie Zhang et al.•ARTICLE•Information Technology and People•2022

    Purpose Most students are considered digital natives and are presumably equipped to handle extensive technology use. However, online learning turns students into involuntary telecommuters when it is the primary modality. The prevailing trends of online learning, digital socialization, telehealth and other online services, combined with remote work has increased students' reliance on information and communications technologies (ICTs) for all purpo…

  • The greening of IT use

    Open Access•Frank Goethals, Jennifer L Ziegelmayer•ARTICLE•Information Technology and People•2024

    Purpose Internet use has a high environmental footprint that is often overlooked by end users. This paper contributes to limiting the negative environmental footprint of Information Technology (IT) use by understanding the relationship between environmental concerns and use of IT amongst users who are aware of the environmental footprint of IT use. Second, the paper argues that taking environmental concerns into account in technology acceptance s…

Anxiety (2 works) · Computer Science (2 works) · COVID-19 and Mental Health (2 works) · Economics (2 works) · Political science (2 works) · Psychology (2 works) · Technology Adoption and User Behaviour (2 works) · World Wide Web (2 works) · Applied Psychology (1 works) · Business (1 works)

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