Understanding cross national difference in knowledge seeking behavioral model: A survival perspective

Liwei Chen*, J. J. Po-An Hsieh, Evert Van de Vliert, Xu Huang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

Electronic Knowledge Repository (EKR) is one of the most commonly deployed knowledge management technologies, yet its success is hindered by employees' underutilization and further complicated when implemented in the multinational context. To address these challenges, we propose a research model by conceptualizing employees' knowledge seeking via EKR as a survival-centric behavior, identifying the technology acceptance model as the individual-level explanation for EKR use, and drawing on the thermal demands-resources theory for explaining cross national behavioral differences. Using hierarchical linear modeling, we tested the model with data from 1352 randomly sampled knowledge workers across 30 nations. The results reveal interesting cross national behavioral patterns. Specifically, thermal climates and national wealth at the macro-level interactively moderate individual-level relationships between perceived ease of use and perceived usefulness and between perceived usefulness and behavioral intention.

Original languageEnglish
Title of host publicationICIS 2009 Proceedings - Thirtieth International Conference on Information Systems
PublisherAssociation for Information Systems
Pages1-19
Number of pages19
Publication statusPublished - Dec 2009
Event30th International Conference on Information Systems, ICIS 2009 - Phoenix, AZ, United States
Duration: 15 Dec 200918 Dec 2009
https://aisel.aisnet.org/icis2009/

Conference

Conference30th International Conference on Information Systems, ICIS 2009
Country/TerritoryUnited States
CityPhoenix, AZ
Period15/12/0918/12/09
Internet address

Scopus Subject Areas

  • Information Systems

User-Defined Keywords

  • Cross national differences
  • Knowledge-based systems
  • Survival
  • Technology acceptance model
  • Thermal demands-resources theory

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