Explaining and Identifying Factors Affecting Knowledge Based Firms Decision-Making in Uncertainity

Document Type : Original Research

Authors
Amir Hossein Jahanikia 1
mohammad javad hozoori 2
Mehdi Yadollahi 3
Adel Azar 4
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.
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
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.
Keywords
Intuitive Decision Making
Uncertainty
innovation
Technology
knowledge based firms

Subjects

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Organizational Resources Management Researches
Volume 10, Issue 1
July 2020
Pages 21-43