MODEL DEVELOPEMENT FOR ESTABLISHMENT OF SMART ORGANIZATIONS: CASE STUDY OF THE SOCIAL SECURITY ORGANIZATION
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Creator Taher Pazireh, Gholamreza Rahimi, Farhad Nejad Irani, Nader Bohlouli
Title MODEL DEVELOPEMENT FOR ESTABLISHMENT OF SMART ORGANIZATIONS: CASE STUDY OF THE SOCIAL SECURITY ORGANIZATION
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Publisher TuEngr Group
Publication Year 2562
Journal Title International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
Journal Vol. 10
Journal No. 4
Page no. 559-565
Keyword Flexible organization, smartization, least square method, decision-making, Service Innovation, Organization smartness.
URL Website https://tuengr.com/Vol10_4.html
Website title ITJEMAST V10(4) 2019 @ TuEngr.com
ISSN 2228-9860
Abstract Rapid developments and globalization are among the environmental issues that are faced by organizations these days. Thus, organizations are required to adapt to such environments whose levels of complexity, inconsistency, and uncertainty are increasing constantly. In such a condition, organizations need to identify the factors affecting their flexibility smartization, and the capability of providing logical reaction, discovering opportunities, and reducing the risks in a highly competitive environment, so that to become consistent with the conditions and, thus, survive. In this study, Structural Equation Modeling was applied by using Least Squares Method and SmartPLS software to test questions and accuracy of the model. The results showed that the variables learning organization, the organization's comprehensive smartness, organizational communications, organizational management, and systemic thinking are reflection of the smart organization. Among these variables, the most influential was organizational management. The results showed a significant positive relationship between the level and components of smart organization in the Social Security Organization. This finding revealed that organizations, effectively using such systems, can achieve higher levels of systemic development and enjoy improved sets of data that enhance the overall quality of their decision-making capabilities in various situations.
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