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Cited by 682

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

When more is too much: Operationalizing technology overload and exploring its impact on knowledge worker productivity

Karr-Wisniewski, Pamela, Lu, Ying·2010·Computers in Human Behavior
DOI 10.1016/j.chb.2010.03.008
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Crossref · 10.1016/j.chb.2010.03.008

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Cites

Show all 9 references

Research works printed but not linked: 27

  1. Aral, S., Brynjolfsson, E., & Alstyne, M. V. (2006). Information, technology, and information worker productivity: Task-level evidence. In Proceedings of the international conference on information systems (pp. 285–306). Milwaukee, WI. · DOI
  2. Berghel, 1997, Cyberspace 2000: Dealing with information overload, Communications of the ACM, 40, 19, 10.1145/253671.253680 · DOI
  3. Brynjolfsson, 1996, Information technology and productivity: A review of the literature, Advances in Computers, 43, 179, 10.1016/S0065-2458(08)60644-0 · DOI · Paper page
  4. Cohen, 1980, Afteraffects of stress on human performance and social behavior: A review of research and theory, Psychological Bulletin, 88, 82, 10.1037/0033-2909.88.1.82 · DOI · Paper page
  5. Dendrick, 2003, Information technology and economic performance: A critical review of the empirical evidence, ACM Computing Surveys, 35, 1, 10.1145/641865.641866 · DOI · Paper page
  6. Dehning, 2003, The Info-Tech “Productivity Paradox” dissected and tested, Management Accounting Quarterly, 5, 31
  7. Drury, 1999, Knowledge worker constraints in the productive use of information technology, ACM SIGCPR Computer Personnel, 19, 21, 10.1145/568498.568500 · DOI
  8. Eppler, 2004, The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines, Information Society, 20, 325, 10.1080/01972240490507974 · DOI · Paper page
  9. Farhoomand, 2002, Managerial information overload, Communications of the ACM, 45, 127, 10.1145/570907.570909 · DOI · Paper page
  10. Hewlitt-Packard (2005). Abuse of technology can reduce UK workers’ intelligence. In HP Invent Press Release.
  11. Hiltz, 1985, Structuring computer-mediated communication systems to avoid information overload, Communications of the ACM, 28, 680, 10.1145/3894.3895 · DOI · Paper page
  12. Ho, J. (2001). Towards an optimal resolution to information overload: an infomediary approach. In Proceedings of the 2001 international ACM SIGGROUP conference on supporting group work (pp. 91–96). Boulder, Colorado. · DOI
  13. Karr-Wisniewski, P. J., & Lu, Y. (2007). Information technology and knowledge worker productivity: A taxonomy of technology crowding. In Americas conference on information systems. Colorado: Keystone.
  14. McFarlane, 2002, The scope and importance of human interruption in human–computer interaction design, Human–Computer Interaction, 17, 1, 10.1207/S15327051HCI1701_1 · DOI · Paper page
  15. McGrenere, J., & Moore, G. (2000). Are we all in the same bloat? In The proceedings of graphics interface 2000, Montreal. · DOI
  16. Miller, 1995, Coefficient alpha: A basic introduction from the perspectives of classical test theory and structural equation modeling, Structural Equation Modeling, 2, 255, 10.1080/10705519509540013 · DOI · Paper page
  17. O’Reilly, 1980, Individuals and information overload in organizations: Is more necessarily better?, Academy of Management Journal, 23, 684, 10.2307/255556 · DOI · Paper page
  18. Oviatt, S. (2006). Human-centered design meets cognitive load theory: Designing interfaces that help people think. In: Proceedings of the 14th annual ACM international conference on Multimedia (pp. 871–880). Santa Barbara, CA. · DOI · Paper page
  19. Rennecker, 2005, Delays and interruptions: A self-perpetuating paradox of communication technology use, Information and Organization, 15, 247, 10.1016/j.infoandorg.2005.02.004 · DOI
  20. Simon, 1955, A behavioral model of rational choice, Quarterly Journal of Economics, 69, 99, 10.2307/1884852 · DOI · Paper page
  21. Simon, 1979, Rational decision making in business organizations, The American Economic Review, 69, 493
  22. Straub, 1989, Validating instruments in MIS research, MIS Quarterly, 13, 147, 10.2307/248922 · DOI · Paper page
  23. Tam, 2006, Understanding the impact of web personalization on user information processing and decision outcomes, MIS Quarterly, 30, 865, 10.2307/25148757 · DOI · Paper page
  24. Thompson, 2005, Feature fatigue: When product capabilities become too much of a good thing, Journal of Marketing Research, 42, 431, 10.1509/jmkr.2005.42.4.431 · DOI · Paper page
  25. von der Gracht, H. A. (2008). The future of logistics: Scenarios for 2025, p 39. · doi:10.1007/978-3-8349-9764-7
  26. Yerkes, 1908, The relation of strength of stimulus to rapidity of habit-formation, Journal of Comparative Neurology and Psychology, 18, 459, 10.1002/cne.920180503 · DOI · Paper page
  27. Yu, E. S. K., & Mylopoulos, J. (1993). An actor dependency model of organizational work – With application to business process reengineering. In Conference on supporting group work, proceedings of the conference on organizational computing systems (pp. 258–268). · DOI

Cited by

Metadata

Authors
Karr-Wisniewski, P., & Lu, Y.
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2010-09
Volume
26
Issue
5
Pages
1061-1072
ISSN
0747-5632 (ISSN-L)
DOI
10.1016/j.chb.2010.03.008
OpenAlex
W2078978820
Cited by
682
References
9
FWCI
21.93
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.