Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments
Published Online:23 Mar 2022https://doi.org/10.1287/isre.2022.1125
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Volume 34, Issue 1
March 2023
Pages iii-vii, 1-397, C2
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- Received:December 10, 2020
- Accepted:February 22, 2022
- Published Online:March 23, 2022
Copyright © 2022, INFORMS
Cite as
Warut Khern-am-nuai, Matthew J. Hashim, Alain Pinsonneault, Weining Yang, Ninghui Li (2022) Augmenting Password Strength Meter Design Using the Elaboration Likelihood Model: Evidence from Randomized Experiments. Information Systems Research 34(1):157-177.
https://doi.org/10.1287/isre.2022.1125
Keywords
The authors thank the senior editor, the associate editor, and two anonymous reviewers for their helpful feedback in the review process. The authors also thank Hyunji So for her helpful suggestion. In addition, the authors are grateful for participants at the 50th Hawaii International Conference on System Sciences (HICSS 2017), Workshop on Information Technology and Systems (WITS) 2017, Information Systems and Operations Management (ISOM) Research Seminar at George Mason University, and the IS Research Seminar at Chinese University of Hong Kong for their constructive comments and discussions.
