Heuristic decision making in network linking
نویسندگان
چکیده
Network formation among individuals constitutes an important part of many OR processes, but relatively little is known about how individuals make their linking decisions in networks. This article provides an investigation of heuristic effects in individual linking decisions for network formation in an incentivized lab-experimental setting. Our mixed logit analysis demonstrates that the inherent complexity of the network linking setting causes individuals’ choices to be systematically less guided by payoff but more guided by simpler heuristic decision cues, and that this shift is systematically stronger for social payoff than for own payoff. Furthermore, we show that the specific complexity factors value transferability and social tradeoff aggravate the former effect. These heuristic effects have important research and policy implications in areas that involve network formation. JEL Classification: A14, C25, C91, D85
منابع مشابه
Constrained consumable resource allocation in alternative stochastic networks via multi-objective decision making
Many real projects complete through the realization of one and only one path of various possible network paths. Here, these networks are called alternative stochastic networks (ASNs). It is supposed that the nodes of considered network are probabilistic with exclusive-or receiver and exclusive-or emitter. First, an analytical approach is proposed to simplify the structure of t...
متن کاملA Heuristic Method on Extended Two-Stage Network Structures
Data Envelopment Analysis (DEA) as a non–parametric method is used to measure relative performance of organizational units. The aim of this paper is to develop a new model to evaluate the efficiency of a general two-stage network structures proposed by Li et al. (2012) for measuring the performance of Decision Making Units (DMUs). In addition, this paper expands the work of Li et al. (2012) an...
متن کاملRanking Network-Structured Decision-Making Units and Its Application in Bank Branches
Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units. Unlike the standard models, which assume decision-making units to be a black box, network data envelopment analysis focuses on the internal structure of these units. Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage, producin...
متن کاملSmog, Cognition and Real-World Decision-Making
Cognitive functioning is critical as in our daily life a host of real-world complex decisions in high-stakes markets have to be made. The decision-making process can be vulnerable to environmental stressors. Summarizing the growing economic and epidemiologic evidence linking air pollution, cognition performance and real-world decision-making, we first illustrate key physiological and psychologi...
متن کاملA Recurrent Neural Network to Identify Efficient Decision Making Units in Data Envelopment Analysis
In this paper we present a recurrent neural network model to recognize efficient Decision Making Units(DMUs) in Data Envelopment Analysis(DEA). The proposed neural network model is derived from an unconstrained minimization problem. In theoretical aspect, it is shown that the proposed neural network is stable in the sense of lyapunov and globally convergent. The proposed model has a single-laye...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- European Journal of Operational Research
دوره 251 شماره
صفحات -
تاریخ انتشار 2016