In 1987, B. Schneider proposed a person‐oriented model of organizational behavior based on the proposition that it is the collective characteristics of people who define an organization. He further proposed that, over time, organizations become defined by the persons in them as a natural outcome of an attraction‐selection‐attrition (ASA) cycle. We provide a brief overview of the ASA cycle and review literature relevant to two facets of the theory. The literature reviewed provides some indirect support for the proposal that founders and the members of top management have long‐term effects on organizations through the ASA cycle. The literature reviewed provides both indirect and direct evidence supporting a central proposition of ASA theory–that organizations over time become relatively homogeneous with regard to the kinds of people in them. Suggestions for future research on ASA are presented.
Personnel Psychology – Wiley
Published: Dec 1, 1995
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera