scholarly journals The Complexity and Simulation of Revenue Sharing Negotiation Based on Construction Stakeholders

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Qingfeng Meng ◽  
Jingxian Chen ◽  
Kun Qian
Keyword(s):  
Success Rate ◽  
Construction Projects ◽  
Revenue Sharing ◽  
Negotiation Process ◽  
Inequity Aversion ◽  
Obvious Effect ◽  
Agent Based ◽  
Time Compression ◽  
Life Cycle Perspective ◽  
Moderate Range

This paper focuses on the complexity characteristics of a stakeholder’s revenue sharing for time compression in construction projects, such as adopting a life cycle perspective, the preferences of stakeholders, and the adaptability behaviors in the negotiation process. We build an agent-based model on revenue sharing negotiation. Considering that the agents who are in a weak position not only care about their own benefits but also compare their benefits to others, we design an experimental scenario where a contractor has fairness preference based on China’s reality. According to different sympathy and envy coefficients, we can divide the inequity aversion preference into three typical types, and we research how a contractor’s different types of inequity aversion preferences impact revenue sharing coefficient of agreements, results of successful negotiations, and efficiency in negotiations. Results are as follows: it is advantageous for a contractor to maintain a modest inequity aversion for their own earnings and the degree of sympathy preference in inequity aversion has an important impact on the time to reach consensus while the degree of jealousy preference has no obvious effect. If contractors’ sympathy preference is maintained within a moderate range, it will achieve a higher success rate of negotiations in the negotiation process; the success rate of negotiation is affected largely by the agents’ sympathy preference, though it is also influenced by the jealousy preference, but it is not very sensitive.

scholarly journals Negotiation for Time Optimization in Construction Projects with Competitive and Social Welfare Preferences

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Qingfeng Meng ◽  
Zhen Li ◽  
Jianguo Du ◽  
Huimin Liu ◽  
Xiang Ding
Keyword(s):  
Social Welfare ◽  
Success Rate ◽  
Construction Projects ◽  
Revenue Sharing ◽  
Construction Time ◽  
Agent Based ◽  
Chinese Context ◽  
Time Optimization ◽  
The Subject ◽  
Negotiation Success

Construction time optimization is affected greatly by the negotiation between owners and contractors, whose progress is dictated by their desire to maximize system revenues. This paper builds an agent-based model and designs an experimental scenario in which the contractor has competitive and social welfare preferences relevant to the Chinese context; we subdivide competitive preference into greed and jealousy components and subdivide social welfare preference into generosity and sympathy components. We analyze the impacts of these different contractor preferences on the revenue-sharing coefficient, negotiation success rate, and negotiation time when negotiation reaches agreement. The results show that the jealousy component of competitive preference has an important influence on improving the income of the subject, while the greed component does not significantly enhance the revenue-sharing coefficient. The sympathy component of social welfare preference does not have an influence on the revenue-sharing coefficient no matter the strength of the generosity component. Increasing the greed component of competitive preference will lead to the extension of negotiation time and, to a certain extent, to the reduction of the negotiation success rate; the sympathy component of social welfare preference does not have an influence on negotiation time no matter the strength of the generosity preference.

INFLUENCE OF COLLABORATIVE BEHAVIOR ON CLAIM NEGOTIATION

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Rita Awwad ◽  
Stephanie Atallah ◽  
Carol Menassa
Keyword(s):  
Dispute Resolution ◽  
Construction Projects ◽  
Opinion Dynamics ◽  
Negotiation Process ◽  
Project Delivery ◽  
Integrated Project Delivery ◽  
Agent Based ◽  
Construction Disputes ◽  
Collaborative Behavior ◽  
Integrated Project

The high cost incurred by the resolution of conflicts is largely affected by the existing adversarial nature of the construction industry along with the use of non-efficient dispute resolution methods in construction projects. This paper studies opinion dynamics in the negotiation of construction disputes while trying to understand the behavior and extremism of each contractual party. The developed model uses an agent-based approach to show how each agent’s attitude can influence the negotiation process when solving a dispute. It can also be used to highlight the importance of alternative dispute resolution (ADR) methods and the use of a mediator in helping parties initiate negotiation and decrease the number of negotiation cycles needed to converge. The results showed that negotiation is not only affected by the attitude and character of the agents involved but it is also influenced by the delivery method of the project and the level of intensity of each agent. It was found that when the project is delivered through an Integrated Project Delivery (IPD) method, parties are more flexible and cooperative and will reach agreement within few negotiation cycles.

Agen Based Modeling for Corn Supply Chain Risks Identification and Sales Negotiation in PTPN VIII

Jurnal METRIS ◽  
2020 ◽  
Vol 21 (01) ◽  
pp. 1-12
Author(s):  
Syarif Hidayat ◽  
Dyah Ayu Suliandar
Keyword(s):  
Fuzzy Reasoning ◽  
Negotiation Process ◽  
Corn Yield ◽  
Selling Price ◽  
Total Size ◽  
Agent Based ◽  
Business Goals ◽  
Risk Appetite ◽  
Owned Company ◽  
Supply Chain Risks

PTPN VIII is a state-owned company in West Java cultivating several kinds of commodities, and still have three marginal farmlands with a total size of 3000 hectares open for investment for corn. The type of corn that would be produced is corn feed for poultry needs. Three agents are involved in this agent-based model: the farmers (or cooperatives), PTPN VIII, and the buyers of the corn yields. All agents face risks in doing their businesses which hamper or reduce their probability of achieving their business goals. The potential risks are identified using fuzzy reasoning method. The three blocks of farmland have different levels of fertility. Farmers are expected to compete for the hunt of farmland to rent for cultivating corns, until their funds run out. They must prepare the land, procure their best corn seeds, plant and maintain the crops, and eventually harvest, dry and sell their corn yield. The dryness of the corn grains dictates the selling price. The buyers will buy the corns until their demands are fulfilled for the particular season. There will be a negotiation process between agents to reach an agreement. Each agent seeks to achieve its goal. This is why agent-based modelling is employed. Netlogo software is used to develop the model. Based on fuzzy reasoning method the obtained result shows that the most potential risk is quality risk. The negotiation results show that when both buyer and seller experience heightened degree of risk appetite, the shortest negotiations are achieved.

Agent-based cloud service negotiation architecture using similarity grouping approach

2019 ◽  
Vol 18 (01) ◽  
pp. 1941015 ◽  
Author(s):  
Rajkumar Rajavel ◽  
Sathish Kumar Ravichandran ◽  
G. R. Kanagachidambaresan
Keyword(s):  
Success Rate ◽  
Service Level Agreement ◽  
Cloud Service ◽  
Service Level ◽  
High Dimensionality ◽  
High Dimensional ◽  
Communication Overhead ◽  
Two Dimensional ◽  
Agent Based ◽  
Fuzzy Similarity

Challenges and issues in the field of cloud service negotiation framework optimization have been an active area of research. During service level agreement, the probability of negotiation conflict between the service consumers and providers is high. This may arise due to aggressive behavior, selfish misperception, vague preferences and uncertain goals of the negotiating participants. One of the key challenges identified in negotiation framework is optimizing the negotiation conflict among the negotiators. In order to minimize such conflicts, existing frameworks group the negotiation pairs that contain similar and non-aggressive behavioral patterns by exploiting the distance, binary, context dependent and fuzzy similarity approaches. These approaches get better success rate only if the dimensionality of negotiator attributes is low. As emerging real-time cloud service negotiation applications are characterized by negotiation attributes of high dimensionality, the existing approaches are inappropriate for these applications. In addition, the existing approaches group the negotiation pairs using distances based measure in two-dimensional negotiation attribute, whose value will vary for high-dimensional attributes. In this work, an Angle-based Similarity Grouping (ASG) approach is proposed that appropriately groups the highly cooperative negotiation pairs and thereby increases the success rate and decreases communication overhead.

scholarly journals Understanding the Sociocognitive Process of Construction Workers’ Unsafe Behaviors: An Agent-Based Modeling Approach

2020 ◽  
Vol 17 (5) ◽  
pp. 1588 ◽  
Author(s):  
Gui Ye ◽  
Hongzhe Yue ◽  
Jingjing Yang ◽  
Hongyang Li ◽  
Qingting Xiang ◽  
...  
Keyword(s):  
Cognitive Process ◽  
Organizational Factors ◽  
Agent Based Modeling ◽  
Construction Workers ◽  
Obvious Effect ◽  
Agent Based ◽  
Cognitive Failure ◽  
Unsafe Behavior ◽  
Unsafe Behaviors ◽  
Social Organizational

Previous literature has recognized that workers’ unsafe behavior is the combined result of both isolated individual cognitive processes and their interaction with others. Based on the consideration of both individual cognitive factors and social organizational factors, this paper aims to develop an Agent-Based Modeling (ABM) approach to explore construction workers’ sociocognitive processes under the interaction with managers, coworkers, and foremen. The developed model is applied to explore the causes of cognitive failure of construction workers and the influence of social groups and social organizational factors on the workers’ unsafe behavior. The results indicate that (1) workers’ unsafe behaviors are gradually reduced with the interaction with managers, foremen, and workers; (2) the foreman is most influential in reducing workers’ unsafe behaviors, and their demonstration role can hardly be ignored; (3) the failure of sociocognitive process of construction workers is affected by many factors, and cognitive process errors could be corrected under social norms; and (4) among various social organizational factors, social identity has the most obvious effect on reducing workers’ unsafe behaviors, and preventive measures are more effective than reactive measures in reducing workers’ unsafe behaviors.

Analyzing bidding competitiveness and success rate of contractors competing for public construction projects

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmad M. Alkhateeb ◽  
Khaled Hesham Hyari ◽  
Mohammed A. Hiyassat
Keyword(s):  
Success Rate ◽  
Construction Projects ◽  
Pearson Correlation ◽  
The Novel ◽  
Content Type ◽  
Project Size ◽  
The Government ◽  
Public Construction ◽  
Classification Category ◽  
Novel Model

Purpose The purpose of this paper is to analyze and evaluate bidding competitiveness and success rate of contractors bidding for public construction projects (PCPs). Additionally, this research determines the effect of work sector, contractor’s classification category (experience), project size and number of bidders on contractors’ bidding competitiveness, and the influence of work sector and classification category on their success rate. Design/methodology/approach The data were collected through 2,296 bidding attempts for 289 tender projects that were announced by the Government Tenders Department in Jordan between 2013 and 2016. The research uses bid competitiveness percentage (BCP) to evaluate contractors’ bidding competitiveness. Pearson correlation is used to investigate the correlation among variables. Hypothesis testing using ANOVA was conducted to evaluate the effect of the abovementioned factors on contractors’ bidding competitiveness, and their success rate. Findings The results of the analysis indicate that contractors’ average BCP and success rate in Jordanian PCPs are 83.8% and 13.3%, respectively. The analysis also reveals that work sector, contractor’s classification category, project size and number of bidders significantly affect contractors’ bidding competitiveness, whereas classification category and work sector do not affect bidding success rate. Therefore, experience of contractors affects their bidding competitiveness, but does not affect their success rate. Originality/value The present research uses contractors’ bidding success rate as a measure to evaluate their bidding competitiveness for PCPs. The novel model of this research can be applied in any country, after considering local regulations, to measure and evaluate contractors’ bidding competitiveness, and success rate when bidding for PCPs. Also, contractors cannot depend on their experience (i.e. classification category) or increasing bidding attempts to win bids and improve bidding success rate, rather than enhance their bidding strategy.

Agent-Based Simulation Model of Passenger Flow Distribution in Urban Railway Network

2013 ◽  
Vol 409-410 ◽  
pp. 1131-1136 ◽  
Author(s):  
Qi Zhang ◽  
Chen Yang Yi
Keyword(s):  
Simulation Model ◽  
Interactive Effect ◽  
Flow Distribution ◽  
Agent Based Simulation ◽  
Railway Network ◽  
Obvious Effect ◽  
Agent Based ◽  
Passenger Flow ◽  
Network Experiment ◽  
Transfer Direction

According to characteristics of passenger flow distribution in urban railway network, proportion factors were defined to present statistic characteristics of passenger distribution at stations. An agent-based simulation model was presented to describe interactive effect among passengers, stations and trains. Two series of scenario experiments were designed, considering passenger distribution at stations and trains frequency. Station factor experiments show that increase of transfer passenger proportion of major transfer direction has different effects on passenger numbers at stations with different locations. Train headway experiments show that adjustment of train service frequency in circle line, compared with radial line, has an obvious effect on passenger flow in network. Experiment results in case study prove the validity of the simulation model on reflecting passenger distribution characteristics in urban railway network.

scholarly journals Optimizing Negotiation Conflict in the Cloud Service Negotiation Framework Using Probabilistic Decision Making Model

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Rajkumar Rajavel ◽  
Mala Thangarathinam
Keyword(s):  
Decision Making ◽  
Success Rate ◽  
Decision Model ◽  
Research Work ◽  
Cloud Service ◽  
Negotiation Process ◽  
Communication Overhead ◽  
Markov Decision Problem ◽  
Fuzzy Similarity ◽  
Decision Making Model

Optimization of negotiation conflict in the cloud service negotiation framework is identified as one of the major challenging issues. This negotiation conflict occurs during the bilateral negotiation process between the participants due to the misperception, aggressive behavior, and uncertain preferences and goals about their opponents. Existing research work focuses on the prerequest context of negotiation conflict optimization by grouping similar negotiation pairs using distance, binary, context-dependent, and fuzzy similarity approaches. For some extent, these approaches can maximize the success rate and minimize the communication overhead among the participants. To further optimize the success rate and communication overhead, the proposed research work introduces a novel probabilistic decision making model for optimizing the negotiation conflict in the long-term negotiation context. This decision model formulates the problem of managing different types of negotiation conflict that occurs during negotiation process as a multistage Markov decision problem. At each stage of negotiation process, the proposed decision model generates the heuristic decision based on the past negotiation state information without causing any break-off among the participants. In addition, this heuristic decision using the stochastic decision tree scenario can maximize the revenue among the participants available in the cloud service negotiation framework.

The agent-based negotiation process for B2C e-commerce

2010 ◽  
Vol 37 (1) ◽  
pp. 348-359 ◽  
Author(s):  
Chun-Che Huang ◽  
Wen-Yau Liang ◽  
Yu-Hsin Lai ◽  
Yin-Chen Lin
Keyword(s):  
Negotiation Process ◽  
Agent Based
Sign in / Sign up

Export Citation Format

Share Document