What is media richness theory in simple terms?

Complex topics that are easy to misunderstand are best discussed face to face, while simple notices can go by email or document, because media differ in how richly they convey information.

How do uncertainty and equivocality differ?

Uncertainty is a lack of information and is solved by gathering more data; equivocality means the same information can be interpreted in several ways and is solved by discussion to agree on meaning. The theory holds that greater equivocality calls for richer media.

Media Richness Theory

🎨 Media, Arts & Culture By CampusDown Wiki Editorial Team Last updated October 27, 2026

Media richness theory holds that communication media such as face-to-face conversation, telephone, email and documents differ in the richness with which they convey information, and that richer media are more effective for equivocal messages while leaner media suit simple, clear ones. Richard Daft and Robert Lengel proposed it in 1984 and 1986 to explain organizational information processing. It became a leading theory of media choice in information systems and computer-mediated communication research, though the spread of new media prompted many critiques and successor theories.

Contents

1. Richness criteria and hierarchy
2. Uncertainty, equivocality and media choice
3. Critiques and successor theories
4. FAQ
5. References

Richness criteria and hierarchy

Daft and Lengel (1986) judged media richness by four criteria: the capacity for immediate feedback, the ability to convey multiple cues such as facial expression, tone of voice and gesture, the use of natural language, and the ability to personalize messages. On these criteria, face-to-face conversation is richest, followed by the telephone, personal letters or memos, formal documents and numeric reports, in descending order. The richer the medium, the more quickly people can change mutual understanding and converge on meaning.

Uncertainty, equivocality and media choice

The theory divides the information problems organizations face into two kinds. Uncertainty is a lack of needed information and is resolved by gathering more data. Equivocality is the existence of multiple interpretations of the same information and is resolved not by more data but by negotiating meaning through discussion. Rich media therefore suit equivocal problems, and lean but efficient media suit simple ones. Daft and colleagues (1987) reported that managers who matched media to message equivocality were in fact rated as better performers. The idea relates to how people reduce uncertainty about unfamiliar others.

Critiques and successor theories

As email and instant messaging spread, studies found that the theory's predictions often failed. In experiments by Dennis and Kinney (1998), media richness affected task performance less than expected. Walther (1996) argued that cue-lean computer-mediated communication can, given enough time, build relationships as close as, or closer than, face-to-face ones. Carlson and Zmud (1999) proposed channel expansion theory, in which a medium feels richer as users gain experience with it and their partners; Kock (2005) proposed media naturalness theory, emphasizing similarity to face-to-face communication; and Dennis and colleagues (2008) proposed media synchronicity theory, which matches synchronicity to communication processes.

FAQ

What is media richness theory in simple terms?: Complex topics that are easy to misunderstand are best discussed face to face, while simple notices can go by email or document, because media differ in how richly they convey information.
How do uncertainty and equivocality differ?: Uncertainty is a lack of information and is solved by gathering more data; equivocality means the same information can be interpreted in several ways and is solved by discussion to agree on meaning. The theory holds that greater equivocality calls for richer media.

Sources reviewed: 2026-10-26

References

Daft, R. L., & Lengel, R. H. (1984). Information richness: A new approach to managerial behavior and organization design. Research in Organizational Behavior, 6, 191–233. The first statement of information richness.
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554–571. The core article distinguishing uncertainty from equivocality.
Daft, R. L., Lengel, R. H., & Trevino, L. K. (1987). Message equivocality, media selection, and manager performance: Implications for information systems. MIS Quarterly, 11(3), 355–366. Media-sensitive managers performed better.
Walther, J. B. (1996). Computer-mediated communication: Impersonal, interpersonal, and hyperpersonal interaction. Communication Research, 23(1), 3–43. A challenge: lean media can become interpersonal and hyperpersonal.
Dennis, A. R., & Kinney, S. T. (1998). Testing media richness theory in the new media: The effects of cues, feedback, and task equivocality. Information Systems Research, 9(3), 256–274. An experimental test with mixed support in new media.
Carlson, J. R., & Zmud, R. W. (1999). Channel expansion theory and the experiential nature of media richness perceptions. Academy of Management Journal, 42(2), 153–170. Channel expansion: perceived richness grows with experience.
Kock, N. (2005). Media richness or media naturalness? The evolution of our biological communication apparatus and its influence on our behavior toward e-communication tools. IEEE Transactions on Professional Communication, 48(2), 117–130. Media naturalness as an evolutionary alternative.
Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2008). Media, tasks, and communication processes: A theory of media synchronicity. MIS Quarterly, 32(3), 575–600. Media synchronicity theory as a successor.

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This article was last updated on October 27, 2026. It is based on widely recognized original works and textbooks; when citing it in a paper, please check the original sources listed in the references.