Volume 10, Issue 1 (2020)
ORMR 2020, 10(1): 21-43 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Jahanikia A H, hozoori M J, Yadollahi M, Azar A. Explaining and Identifying Factors Affecting Knowledge Based Firms Decision-Making in Uncertainity. ORMR 2020; 10 (1) :21-43
URL: http://ormr.modares.ac.ir/article-28-23262-en.html
URL: http://ormr.modares.ac.ir/article-28-23262-en.html
1- Ph.D student, Department of Management, Payame Noor University, Tehran, Iran.
2- Associate Prof., Management faculty, Department of Management, Payame Noor University, Tehran, Iran. ,hozoori@pnu.ac.ir
3- Assistant Professor, Management faculty Department of Management, Payame Noor University, Tehran, Iran.
4- Professor, Department of Management, Management and Economics faculty, Tarbiat Modares University, Tehran, Iran
2- Associate Prof., Management faculty, Department of Management, Payame Noor University, Tehran, Iran. ,
3- Assistant Professor, Management faculty Department of Management, Payame Noor University, Tehran, Iran.
4- Professor, Department of Management, Management and Economics faculty, Tarbiat Modares University, Tehran, Iran
Abstract: (3180 Views)
This paper focuses on the issue of decision making in context of uncertainty and in particular on decision making in innovation and knowledge-based Firms. Decision making in uncertain conditions has many complications that make it difficult to rely solely on analyzes and common models in decision making. Meanwhile, the need to consider alternative methods, especially in the real environment of decision making, is felt. In this research, with a descriptive approach, the model of this type of decision is specifically defined in knowledge-based firms with a quantitative method and structural equation modeling. Statistical analyses were performed on 320 researcher-made questionnaires containing 77 items. Smart PLS software was used for modeling. The obtained model shows that time and information categories play a significant role in creating uncertainty. This uncertainty ultimately leads to the decision-makers' reliance on intuitive decision-making. Underlying conditions and interventions include environmental turbulence, rivals, market changes, technological changes, changes in environments, experiences, education, curiosity, and patterns of mental patterns effect on intuitive decisions that themselves include improvements in speed and accuracy of decision making, creativity, satisfaction and performance of the company.
Article Type: Original Research |
Subject:
Strategy and Management
Received: 2018/07/19 | Accepted: 2020/03/16 | Published: 2020/07/13
Received: 2018/07/19 | Accepted: 2020/03/16 | Published: 2020/07/13
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |