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Channel selection and effective communication for managerial decision making

Editor: John O. Limb Authors:

Eileen M. Trauth,

Stephen K Kwan,

Susanna BarberAuthors Info & Claims

ACM Transactions on Information Systems (TOIS), Volume 2, Issue 2

Pages 123 - 140

https://doi.org/10.1145/521.522

Published: 24 May 1984 Publication History

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Cited By

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Woodward IVongswasdi P(2017)More that unites than divides: intergenerational communication preferences in the workplaceCommunication Research and Practice10.1080/22041451.2017.12752593:4(358-385)Online publication date: 14-Feb-2017
https://doi.org/10.1080/22041451.2017.1275259
Grantham CVaske J(2007)Predicting the usage of an advanced communication technologyBehaviour & Information Technology10.1080/014492985089018114:4(327-335)Online publication date: 31-Jan-2007
https://doi.org/10.1080/01449298508901811
J. Ang F. Pavri (1994)A survey and critique of the impacts of information technologyInternational Journal of Information Management: The Journal for Information Professionals10.1016/0268-4012(94)90031-014:2(122-133)Online publication date: 1-Apr-1994
https://dl.acm.org/doi/10.1016/0268-4012%2894%2990031-0
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Reviews

Reviewer: Peter M. Hahn

This paper describes a scientifically executed and carefully documented study of the communication effectiveness of three types of media: electronic mail, videotape, and paper. The introduction gives a good review of recent research on the effectiveness of electronic forms of media in the management and scientific communities. The study compares the use of the three media forms for conveying business information. The subjects were 104 MBA students enrolled in an introductory MIS course. Results of the study indicate that the three forms rate equally well on the average in terms of information retained, as well as quality of decisions based on that information. However, videotape, in some cases, was much bettern and, in some cases, much worse than the other two forms in effectively transferring information.

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Information & Contributors

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Published In

ACM Transactions on Information Systems Volume 2, Issue 2

April 1984

92 pages

ISSN:1046-8188

EISSN:1558-2868

DOI:10.1145/521

Editor:
John O. Limb
Central Services Organization (of the Bell Operating Companies), Murray Hill, NJ

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 May 1984

Published in TOIS Volume 2, Issue 2

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Woodward IVongswasdi P(2017)More that unites than divides: intergenerational communication preferences in the workplaceCommunication Research and Practice10.1080/22041451.2017.12752593:4(358-385)Online publication date: 14-Feb-2017
https://doi.org/10.1080/22041451.2017.1275259
Grantham CVaske J(2007)Predicting the usage of an advanced communication technologyBehaviour & Information Technology10.1080/014492985089018114:4(327-335)Online publication date: 31-Jan-2007
https://doi.org/10.1080/01449298508901811
J. Ang F. Pavri (1994)A survey and critique of the impacts of information technologyInternational Journal of Information Management: The Journal for Information Professionals10.1016/0268-4012(94)90031-014:2(122-133)Online publication date: 1-Apr-1994
https://dl.acm.org/doi/10.1016/0268-4012%2894%2990031-0
Bozeman BShangraw R(1989)Computers and commitment to a public management decision: An experimentKnowledge in Society10.1007/BF026872062:3(42-56)Online publication date: May-1989
https://doi.org/10.1007/BF02687206
Daft RLengel RTrevino L(1987)Message equivocality, media selection and manager performance: implications for information systemsMIS Quarterly10.2307/24868211:3(355-366)Online publication date: 1-Sep-1987
https://dl.acm.org/doi/10.2307/248682
Hirschheim R(1986)The effect of a priori views on the social implications of computing: the case of office automationACM Computing Surveys10.1145/7474.747618:2(165-195)Online publication date: 1-Jun-1986
https://dl.acm.org/doi/10.1145/7474.7476

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Machine learning advice in managerial decision-making: The overlooked role of decision makers’ advice utilization

Decision making process: typology, intelligence, and optimization

Sustainable decision making: the role of decision support systems

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Machine learning advice in managerial decision-making: The overlooked role of decision makers’ advice utilization

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Sustainable decision making: the role of decision support systems

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