خلاصة:
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.
ملخص الجهاز:
Explaining and identifying the factors affecting the decision-making of knowledge-based companies under uncertainty conditions Amirhossein Jahani Kia 1, Mohammad Javad Hozoori *2, Mehdi Yadollahi 3, Adel Azar 4 1- PhD student in Public Management, Faculty of Management, Payame Noor University, Tehran, Iran.
Based on this approach, decision-makers in real settings 3 have a high dependency on using intuition [12], but the relationship between experience and intuition has sometimes been very ambiguous; for example, Hyppanen 4 in 2013 examined the role of intuition in the Fuzzy Front End of Innovation 5, and in her research, no significant difference regarding the use of intuition was observed 1.
(Refer to the scene image) 27 Considering that not all the variables mentioned in this research are measurable and that a large number of variables leads to a lengthy questionnaire as well as complexity in the structural model, finally, based on this conceptual model, the research hypotheses and measurable variables were determined as follows: 1- Uncertainty has a positive and significant effect on intuitive decision-making.
, "Explaining the intuitive decision-making model in the space of uncertainty caused by innovation (Case study: knowledge-based companies)", Management of Public Organizations, 7(1), 2018, 57-72.
The scientific innovation of this research lies in providing a comprehensive model of the intuitive decision-making method under conditions of uncertainty in knowledge-based companies, along with variables that have not been presented in previous studies.
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