Optimizing organizational reputation strategy with the approach of environmental and process crises

Subject Areas : title1

jamal kamali galyani ¹ , mohammadali keramati ² , Hossein Moeinzad ³ , Azadeh Meharani ⁴

1 - Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2 - Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
3 - Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
4 - Department of Financial Management, Nowshahr Branch, Islamic Azad University, Nowshahr, Iran

Received: 2024-04-28 Accepted : 2024-07-30 Published : 2025-06-01

Keywords: Organizational reputation, environmental crises, process uncertainty,

Abstract :

The aim of the current research was to optimize the organizational reputation strategy with the approach of environmental and process crises. The research is an exploratory type of research due to the presentation of the model, and because the users use its results, it is considered practical. By modeling the appropriate strategy of organizational reputation based on environmental crisis conditions and a process to determine and integrate the optimal method of maintaining organizational reputation and planning based on the duration of the crisis. The type of uncertainty considered includes uncertainty in the amount of demand, supply time, cost parameters, and uncertainty in supply. Due to the multinational nature of the organization's reputation, changes in government laws and regulations (customs/environmental) governing supply/manufacturers have been considered. The topics of human resources training and its effective role in productivity, quantity discount, as an effective factor in the amount of orders, the flexibility of procurement time and its correlation with transportation cost, and finally the non-linear shortage cost are among the features of the model. are provided. Finally, to solve the proposed models, suitable solution methods and efficiency in non-deterministic solution areas based on the meta-heuristic algorithm of LINGO software, simulation is presented and to prove their efficiency and validate the proposed models, the study case of the company Production items are considered. The model was modeled with basic assumptions such as uncertainty in demand for different products, uncertainty in supply, procurement time, as well as cost parameters and regulations governing multinational companies.

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