Collaborative management is increasingly applied to indicate environmental and socio-economic negotiations in every corner of the world. The engagement of multiple stakeholders accompanying experience, science, and economy probing skills is expected to unravel such issues. However, the collaborative approaches to manage existing issues at watershed scale have not been adequately applied. Therefore, the present study has exemplified the establishment of a comanagement framework for the soil management for two case studies i.e., Schleswig-Holstein State of Germany and Galazchai Watershed of Iran using a stakeholder oriented approach applying game theory based methods. Due to management perspectives, different stakeholder groups were involved

Governments apply economic motivating forces and penalties to manage environmental effects of enterprises. Therefore, companies and manufactures will need to move toward environmental and sustainability assessment to survive and remain competitive in market.We consider market demands so that non-green and green products can be substituted with each other. If green products cannot overwhelm the market, manufacturers might select hybrid production mode including green and regular products. The government acts as a leader and sets special tariffs for non-green and green products as a controlling tool. We formulate a game theoretical model in twelve scenarios based on government policies and different types of production modes of a supply chain

Duration of Agricultural operations is a crucial issue in fleet management as it directly affects the operation costs. Agricultural fleet usually traverses paths, covering the whole field to complete the operation. The agricultural operations are not necessarily performed efficiently due to the various variables including field shape, presence of obstacles in the field, number of vehicles, and their specifications. In this study, agricultural operations are modeled as a capacitated arc routing problem (CARP). CARP is a combinatorial optimization problem, which determines the harvest paths in a field and finds the best order of traversing. By dividing the paths into two categories of required and non-required, CARP demonstrates a field as a

Governments apply economic incentives and penalties to manage environmental effects of enterprises. Market demands is considered in this research such that non-green and green products can be substituted with each other. We study the competition between two supply chains (SCs) in the market which are called regular and closed-loop SCs. We then formulate a game theoretical model in two scenarios based on collaboration in closed-loop SC and the selling prices, prices of raw materials, and profit of SCs in each scenarios. Numerical examples are presented to make? results of the models more tangible. The effects of main parameters of the models are also evaluated through a sensitivity analysis. The results indicate that collaboration between re

The changes in runoff and sediment load due to various approaches in land use management have recently received considerable attention. In the present paper, the impact of land use change under collaborative management framework on water and sediment load was investigated by combined usage of hydrologic modelling and land use maps. Three groups of stakeholders viz. residents, policy makers and executive organizations were involved in decision making process. Three prioritization procedures of Condorcet, Borda scoring and Fallback bargaining were elected to rank sub-watersheds and managerial practices. The impact of different managerial scenarios was assessed by applying time-area concept and through analyzing changes in important components

In this research, we identify factors influencing the behavior of knowledge sharing and customer purchasing intention based on two theories of social capital and social interaction. The conceptual model, designed based on theoretical foundations, includes the dimensions of these two theories. Moreover, knowledge/information sharing is considered as a moderate variable and is attempted to examine the relationship between these variables and customers’ purchase intention in the context of social commerce. Statistical sample is 254 individuals, who have bought more than 5 times from social commerce sites. The results show that the dimensions of social capital theory and social interaction theory have a significant relationship with knowledge

This paper is considering the competition between two multi-echelon supply-chains on price and service under balance and imbalance of market power between the chains which are analyzing through Nash and Stackelberg game approach. The problem is categorized as the centralized or decentralized structure of each chain, which means a few different possible scenarios are developing based on the Nash and Stackelberg games. The aim of the paper is to investigate the simultaneous effect of the chains’ structure and market power on the decision variables. As a surprise result, we show that in the Stackelberg game, the chain will not always have the second-mover advantage. Furthermore, the results demonstrate that the leader''s presence in the mark

A portfolio selection model is developed in this study, using a new risk measure. The proposed risk measure is based on the fundamental value of stocks. For this purpose, a mathematical model is developed and transformed into an integer linear programming. In order to analyze the model's efficiency, the actual data of the Tehran Stock Exchange market are used in 12 scenarios to solve the proposed model. In order to evaluate the scenarios, data mining approaches are employed. Data mining methods which are used in this paper include ANFIS, decision tree, random forest, ADF, and GEP. The best method for scenario evaluation is GEP based on numerical results. Hence, the market values are evaluated by this algorithm. Software packages like MATLAB

Origin-Destination Matrix, one of the most important elements in transportation planning, is usually estimated by various techniques such as mathematical modeling, statistical methods, and heuristic approaches. Since using electronic devices is rapidly increased to help decision makers to improve models’ capabilities, an iterative procedure is proposed in this paper to estimate the O-D Matrix according to vehicles’ license plates detection. The main concept is to track vehicles on the first and the last links equipped by plate camera over the shortest path from origins to destinations. A two-step procedure and mathematical models are developed to adjust assigned the passing traffic to the network links by minimizing deviations between t

The hard conflict between the Islamic Republic of Iran (IRAN) and the United States of America (US) has been discussed for decades by bothdomestic and external analysts. In this paper, the conflict between the US and IRAN has been modeled and analyzed, using game theory approach in non-cooperative mode. The analysis of this conflict has been conducted based on the graph model for conflict resolution and using GMCR+ decision support system. This analysis considers two decision makers (DMs) containing the US and IRAN.Sixteenfeasible states have been analyzed among 1024 possible combinationsand accordingly, six states are predicted as the equilibria. Based on different solution concepts for stability definition and the preferences vector of DM

A new cooperative watershed management methodology has been designed for developing equitable and efficient Best Management Practices (BMPs) with participation of all main stakeholders. The approach intended to control total sediment yield, stormwater and to improve socio-economic status of the watershed, considering villagers, legislation and executive stakeholders with conflicting interests. Toward this goal, the game theory was used as an alternative tool for analyzing strategic managerial practices and measures among various demands in order to achieve cooperative decision-making in sub-watershed and Best Co-Management Practices prioritization (BCMPs). Hence, the Borda scoring algorithm applied to count the priority of 13 sub-watersheds

In this paper, mathematical modeling is developed for portfolio selection problem under uncertainty circumstances with regard to a robust stochastic variable. Two popular and common approaches in the area of modeling uncertainty are robust optimization and stochastic programming. These two methods are used with different considerations in mathematical modeling, but each one has a limitation. Stochastic programming assumes a static distribution function with static parameters over time for non-deterministic data, and robust optimization considers an indeterminate parameter in a uniform interval around nominal values. Using combination of these two methods can help us to eliminate their drawbacks. For this purpose, the concept of a robust sto