Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Using different ELECTRE methods in strategic planning in the presence of human behavioral resistance

Using different ELECTRE methods in strategic planning in the presence of human behavioral resistance

Thumbnail Image
Download
Name

ADS.2006.010936.pdf

Size

585.09 KB

Format

Adobe PDF

Checksum (MD5)

830bf794b124e35d56539d452a146679

Download all files submitted through automated deposit
ADS.2006.010936.zip (541.22 KB)
Author(s)
Shanian, A.
•
El-Lahham, C.
•
Milani, Abbas S.
Date Issued
2006
Journal
Journal of Applied Mathematics and Decision Sciences
Publisher
Hindawi Publishing Corporation
Citation
Milani, A. S., A. Shanian, and C. El-Lahham. “Using Different ELECTRE Methods in Strategic Planning in the Presence of Human Behavioral Resistance.” Journal of Applied Mathematics and Decision Sciences 2006 (2006): 1–19.
Version
Final published version
Abstract
In the multicriteria strategic planning of an organization, management should often be aware of employees' resistance to change before making new decisions; otherwise, a chosen strategy, though technologically acceptable, may not be efficient in the long term. This paper, using a sample case study within an organization, shows how different versions of ELECTRE methods can be used in choosing efficient strategies that account for both human behavioral resistance and technical elements. The effect of resistance from each subsystem of the organization is studied to ensure the reliability of the chosen strategy. The comparison of results from a select number of compensatory and noncompensatory models (ELECTRE I, III, IV, IS; TOPSIS; SAW; MaxMin) suggests that when employee resistance is a decision factor in the multicriteria strategic planning problem, the models can yield low-resistance strategies; however, ELECTRE seems to show more reasonable sensitivity.
MIT Department
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Creative Commons Attribution
http://creativecommons.org/licenses/by/2.0
Persistent DSpace Link
http://hdl.handle.net/1721.1/96127
DOI of Published Version
https://doi.org/10.1155/JAMDS/2006/10936
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.