Raising your Eminence inside the Enterprise Social Network

Kremer-Davidson, Shiri; Ronen, Inbal; Leiba, Lior; Kaplan, Avi; Barnea, Maya

doi:10.1145/2957276.2957281

Cited by 12 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…(van den Heuvel & Bondarouk, 2017); (Collins et al, 2017) Group/Organization (Levenson, 2018); (Bachman et al, 2015;Fineman, 2016) Data Structure Structured (Baesens et al, 2017); (Fern et al, 2014) Unstructured (Angrave et al, 2016;McIver et al, 2018) Data Sources Digital Traces McIver et al, 2018); (Sweeney et al, 2016) Sensors (Hüllmann et al, 2021); (Arellano et al, 2017) (Pulse) Surveys (Angrave et al, 2016;Levenson, 2018); (Guenole & Feinzig, 2016) Interviews* (Levenson, 2018); (Silvestre et al, 2015) HRIS (Levenson, 2018); (Guenole & Feinzig, 2016) Video/Audio (Hüllmann et al, 2021); (Collins et al, 2017) External Data Sets (Baesens et al, 2017); (Fern et al, 2014) Data Content Personnel Data (Baesens et al, 2017); Project Data (Baesens et al, 2017;Levenson, 2018) Psychometric Data (Arellano et al, 2017) Location (Baesens et al, 2017;Simón & Ferreiro, 2018) Behavioral (Kremer-Davidson et al, 2016); (Fineman & Solow, 2018) Market Data (Marler & Boudreau, 2017); (Fern et al, 2014)…”

Section: Appendixmentioning

confidence: 99%

“…Interview Coding, Workshops** (Kremer-Davidson et al, 2016;Levenson, 2018); (Fecheyr-Lippens et al, 2015) Consequences Ethics & Legal (Gal et al, 2017); (Guenole et al, 2017) Surveillance (Hüllmann et al, 2021); (Guenole et al, 2017;Schwieters, 2015) Wellbeing & Stress (Tursunbayeva et al, 2021); (Guenole & Feinzig, 2016) Statistical Issues validity, bias, discrimination (Gal et al, 2020;Hüllmann & Mattern, 2020); (Guenole & Feinzig, 2016) Implementation change management, skillgap DIGITAL RESTRUCTURING AND HUMAN (RE)ACTION…”

Section: Appendixmentioning

confidence: 99%

See 1 more Smart Citation

How to Use Data to Increase Bike Use by Travelers

Exalto-Sijbrands¹,

Baars²,

Wijers³

et al. 2022

35 Th Bled eConference Digital Restructuring and Human (Re)action

View full text Add to dashboard Cite

The Government of the Netherlands wants to be energy neutral by 2050 (Rijksoverheid, sd). A transition towards nonfossil energy sources also affects transport, which is one of the industries significantly contributing to CO2 emission (Centraal Bureau Statistiek, 2019). Road authorities at municipalities and provinces want a shift from fossil fuel-consuming to zero emission transport choices by their inhabitants. For this the Province of Utrecht has data available. However, they struggle how to deploy data to positively influence inhabitants’ mobility behavior. A problem analysis scoped the research towards data to stimulate cycling. Three interviews, desk research and a survey revealed the gap between the province’s current data-item approach that is infrastructure oriented and the required approach that adopts traveler’s personas to successfully stimulate cycling. For this more precisely defined captured data is needed and the focus should shift from already motivated cyclists to non-cyclers.

show abstract