Countless studies have demonstrated the need for improved information sharing; without proper information sharing, the supply network is less competitive, which suggests that participants’ trust is low. Both factors indicate that the supply network exhibits low resilience. A novel approach, based on incenting information sharing, and punishing non-sharing, is conceptualized to increase resilience during supply network negotiation. This new model attempts to reduce hidden information and increase the willingness of participants to share private information by weighting the cost contributors’ operation costs and desired participants’ welfare. This paper establishes an agent-based collaborative negotiation framework with a first simulation. The simulation analyzing the impact of information sharing was conducted for 100 participants. Two scenarios were tested against a baseline: (1) all participants follow a neutral bidding strategy, and (2) a minority of aggressive or conservative bidders are introduced to the simulation. The simulation shows that information sharing is more beneficial to the participants than non-information sharing. In the second part of this research, we expand this work to a case study that implements the framework in a real-world setting: venue parking. A collaboration between the venue and parking lot owner is introduced, including information sharing and designed to streamline the venue visitor’s experience. Additionally, it is expected to increase parking revenue and decrease venue costs by reducing overall inefficiencies through aligning incentives.

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Resilience Gains by Information Sharing in Collaborative Negotiation Protocols: A New Case Study

  • Frederik A. Weber,
  • Shimon Y. Nof

摘要

Countless studies have demonstrated the need for improved information sharing; without proper information sharing, the supply network is less competitive, which suggests that participants’ trust is low. Both factors indicate that the supply network exhibits low resilience. A novel approach, based on incenting information sharing, and punishing non-sharing, is conceptualized to increase resilience during supply network negotiation. This new model attempts to reduce hidden information and increase the willingness of participants to share private information by weighting the cost contributors’ operation costs and desired participants’ welfare. This paper establishes an agent-based collaborative negotiation framework with a first simulation. The simulation analyzing the impact of information sharing was conducted for 100 participants. Two scenarios were tested against a baseline: (1) all participants follow a neutral bidding strategy, and (2) a minority of aggressive or conservative bidders are introduced to the simulation. The simulation shows that information sharing is more beneficial to the participants than non-information sharing. In the second part of this research, we expand this work to a case study that implements the framework in a real-world setting: venue parking. A collaboration between the venue and parking lot owner is introduced, including information sharing and designed to streamline the venue visitor’s experience. Additionally, it is expected to increase parking revenue and decrease venue costs by reducing overall inefficiencies through aligning incentives.