Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector
Purpose – The literature of organizational change hints that adaptability and inertia not only counterbalance but also reinforce each other, and the inertia-adaptability balance over time is nonlinear. The author aims to address this view more clearly by presenting a multi-stage conceptual model tha...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2016
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/80602 http://hdl.handle.net/10220/40572 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-80602 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-806022020-03-07T12:10:37Z Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector Chen, Chung-An School of Humanities and Social Sciences Inertia Adaptability Organizational age Multi-stage model Nonlinear relationship Purpose – The literature of organizational change hints that adaptability and inertia not only counterbalance but also reinforce each other, and the inertia-adaptability balance over time is nonlinear. The author aims to address this view more clearly by presenting a multi-stage conceptual model that delineates how adaptability and inertia take turns to override each other. In addition, data collected from over 400 nonprofit organizations within the USA were used to test this model. Design/methodology/approach – This study uses polynomial regression to examine the multi-stage conceptual model. More precisely, it tests how organizational age influences an organization's innovativeness, managerial risk aversion, and red tape. Findings – The findings support the multi-stage conceptual model. The results imply that organizational ecology and rational adaptation are mutually compatible perspectives in explaining organizational age dynamics. Originality/value – This study introduces a multi-stage model that more clearly examines how adaptability and inertia counterbalance and reinforce over time. More importantly, the author empirically examines the nonlinear organizational age dynamics using quantitative data. Accepted version 2016-05-27T05:04:30Z 2019-12-06T13:53:03Z 2016-05-27T05:04:30Z 2019-12-06T13:53:03Z 2014 Journal Article Chen, C.-A. (2014). Revisiting organizational age, inertia, and adaptability: Developing and testing a multi-stage model in the nonprofit sector. Journal of Organizational Change Management, 27(2), 251-272. 0953-4814 https://hdl.handle.net/10356/80602 http://hdl.handle.net/10220/40572 10.1108/JOCM-10-2012-0166 en Journal of Organizational Change Management © 2014 Emerald. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Organizational Change Management, Emerald. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [ http://dx.doi.org/10.1108/JOCM-10-2012-0166]. 35 p. application/pdf |
institution |
Nanyang Technological University |
building |
NTU Library |
country |
Singapore |
collection |
DR-NTU |
language |
English |
topic |
Inertia Adaptability Organizational age Multi-stage model Nonlinear relationship |
spellingShingle |
Inertia Adaptability Organizational age Multi-stage model Nonlinear relationship Chen, Chung-An Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector |
description |
Purpose – The literature of organizational change hints that adaptability and inertia not only counterbalance but also reinforce each other, and the inertia-adaptability balance over time is nonlinear. The author aims to address this view more clearly by presenting a multi-stage conceptual model that delineates how adaptability and inertia take turns to override each other. In addition, data collected from over 400 nonprofit organizations within the USA were used to test this model.
Design/methodology/approach – This study uses polynomial regression to examine the multi-stage conceptual model. More precisely, it tests how organizational age influences an organization's innovativeness, managerial risk aversion, and red tape.
Findings – The findings support the multi-stage conceptual model. The results imply that organizational ecology and rational adaptation are mutually compatible perspectives in explaining organizational age dynamics.
Originality/value – This study introduces a multi-stage model that more clearly examines how adaptability and inertia counterbalance and reinforce over time. More importantly, the author empirically examines the nonlinear organizational age dynamics using quantitative data. |
author2 |
School of Humanities and Social Sciences |
author_facet |
School of Humanities and Social Sciences Chen, Chung-An |
format |
Article |
author |
Chen, Chung-An |
author_sort |
Chen, Chung-An |
title |
Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector |
title_short |
Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector |
title_full |
Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector |
title_fullStr |
Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector |
title_full_unstemmed |
Revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector |
title_sort |
revisiting organizational age, inertia, and adaptability: developing and testing a multi-stage model in the nonprofit sector |
publishDate |
2016 |
url |
https://hdl.handle.net/10356/80602 http://hdl.handle.net/10220/40572 |
_version_ |
1681046956518932480 |