Author List: Kock, Ned;
MIS Quarterly, 2009, Volume 33, Issue 2, Page 395-A12.
Evolutionary psychology holds great promise as one of the possible pillars on which information systems theorizing can take place. Arguably, evolutionary psychology can provide the key to many counterintuitive predictions of behavior toward technology, because many of the evolved instincts that influence our behavior are below our level of conscious awareness; often those instincts lead to behavioral responses that are not self-evident. This paper provides a discussion of information systems theorizing based on evolutionary psychology, centered on key human evolution and evolutionary genetics concepts and notions. It is argued here that there is often a need to integrate evolutionary and non-evolutionary theories, and four important preconditions for the successful integration of evolutionary and non-evolutionary theories are discussed. An example of integration of evolutionary and non-evolutionary theories is provided. The example focuses on one evolutionary information systems theory--media naturalness theory--previously developed as an alternative to media richness theory, and one non-evolutionary information systems theory, channel expansion theory.
Keywords: channel expansion theory; evolutionary psychology; Information systems; media naturalness theory; media richness theory; theory development
Algorithm:

List of Topics

#77 0.256 information systems paper use design case important used context provide presented authors concepts order number various underlying implementation framework nature
#110 0.202 theory theories theoretical paper new understanding work practical explain empirical contribution phenomenon literature second implications different building based insights need
#163 0.199 critical realism theory case study context affordances activity causal key identifies evolutionary history generative paper events lead mechanisms evolution change
#75 0.113 behavior behaviors behavioral study individuals affect model outcomes psychological individual responses negative influence explain hypotheses expected theories consequences impact theory
#203 0.051 communication media computer-mediated e-mail richness electronic cmc mail medium message performance convergence used communications messages face-to-face findings participants results work