چکیده:
Nowadays, the importance of knowledge management and its impact on various aspects of the organization, including the position of the organization among competitors and gaining a competitive advantage, is increasing. In today's competitive environment, employees who create knowledge and use it to develop the organization and provide better products and services have a significant impact on the productivity of organizations and the organization's position among competitors. Therefore, efforts to increase the productivity of knowledge workers and identify the factors affecting it can have a significant impact on the success of organizations. Although uncertainty in global markets has made it difficult to evaluate accurately the productivity of knowledge workers, an attempt is made in this research to respond to the existing uncertainty by using multi-criteria decision-making methods in a fuzzy environment. To this end, the Delphi method is used to determine the key criteria as viewed by 12 experts of knowledge-based companies and the best-worst fuzzy method is used to evaluate the weight of the Knowledge workers’ productivity criteria. The results show that among the criteria of knowledge workers productivity, the “work conscience, commitment, and responsibility” is the most important criteria for the evaluation of knowledge workers’ productivity. This means that if an organization wants to improve its productivity through its knowledge workers, it must have employees in its organization who are committed to organizational issues to be able to improve the organization's productivity and increase the organization's ability to compete in global markets by solving problems on time.
خلاصه ماشینی:
Presenting a model for evaluating the productivity of knowledge workers using the fuzzy Delphi method and the fuzzy best-worst method (Case study: Knowledge-based companies) Mehdi Mohammadrzaei 1, Mohammadali Sarlak 2, Abolhasan Faghihi 3 1.
Although uncertainty in global markets has made it impossible to accurately assess the productivity of knowledge workers, this research attempted to respond to existing uncertainty using multi-criteria decision-making methods in a fuzzy environment.
Therefore, the fuzzy Delphi method was used to determine the criteria among 12 experts from knowledge-based companies, and the fuzzy best-worst method was used to evaluate the weight of knowledge worker productivity criteria.
After validating the presented model, the weight of the identified components will be evaluated using the fuzzy best-worst method 2, and the most effective components in evaluating the productivity of knowledge workers will be introduced.
Research Background Najafi 3 (2012) evaluated the characteristics of knowledge worker productivity and extracted the weight of each criterion using the analytic network process 4.
The results of the above research show that financial incentives for human resources, trust of the workforce in each other, and management are the most important identified indicators in the area of internal organizational factors affecting the productivity of knowledge workers.
In this research, the fuzzy Delphi method was used to determine the criteria of knowledge worker productivity, and the fuzzy best-worst method was used to evaluate the weight of each criterion.
As observed, this research used multi-criteria decision-making methods, including the fuzzy Delphi method and fuzzy best-worst method, to evaluate the productivity of knowledge workers.
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