View in EDS HTML Full Text PDF Full Text

Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments.

Saved in:
Bibliographic Details
Title: Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments.
Authors: Khern-am-nuai, Warut1 (AUTHOR) warut.khern-am-nuai@mcgill.ca, Hashim, Matthew J.2 (AUTHOR) mhashim@arizona.edu, Pinsonneault, Alain1 (AUTHOR) alain.pinsonneault@mcgill.ca, Yang, Weining3 (AUTHOR) weining.yang@bytedance.com, Li, Ninghui4 (AUTHOR) ninghui@purdue.edu
Source: Information Systems Research (INFORMS). Mar2023, Vol. 34 Issue 1, p157-177. 21p. 4 Diagrams, 6 Charts.
Database: Business Source Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: bsu
DbLabel: Business Source Ultimate
An: 163088270
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Khern-am-nuai%2C+Warut%22">Khern-am-nuai, Warut</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> warut.khern-am-nuai@mcgill.ca</i><br /><searchLink fieldCode="AR" term="%22Hashim%2C+Matthew+J%2E%22">Hashim, Matthew J.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> mhashim@arizona.edu</i><br /><searchLink fieldCode="AR" term="%22Pinsonneault%2C+Alain%22">Pinsonneault, Alain</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> alain.pinsonneault@mcgill.ca</i><br /><searchLink fieldCode="AR" term="%22Yang%2C+Weining%22">Yang, Weining</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> weining.yang@bytedance.com</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Ninghui%22">Li, Ninghui</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> ninghui@purdue.edu</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Information+Systems+Research+%28INFORMS%29%22">Information Systems Research (INFORMS)</searchLink>. Mar2023, Vol. 34 Issue 1, p157-177. 21p. 4 Diagrams, 6 Charts.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=163088270
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1287/isre.2022.1125
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 157
    Titles:
      – TitleFull: Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Khern-am-nuai, Warut
      – PersonEntity:
          Name:
            NameFull: Hashim, Matthew J.
      – PersonEntity:
          Name:
            NameFull: Pinsonneault, Alain
      – PersonEntity:
          Name:
            NameFull: Yang, Weining
      – PersonEntity:
          Name:
            NameFull: Li, Ninghui
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 10477047
          Numbering:
            – Type: volume
              Value: 34
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Information Systems Research (INFORMS)
              Type: main
ResultId 1