Announcer Model for Inter-Organizational Systems

From barter systems to shopping online, markets have evolved with institutional design characteristics with the objective of providing a platform for buying and selling. The technological investment portfolio has brought in significant changes to market dynamics. Though there are apprehensions to migrate the offline features online, along with online benefits, there are also inherent challenges to be managed. In supply chain management, which manages from raw materials to customers, inventory management has a substantial role and acts as a key player affecting the entire chain directly or indirectly. Nevertheless of automation, inventory management is a tedious task and could use a computational helping hand. The announcer model proposes an alternative to computationally solve resource management between the business cycle's various stages through this paper. It attempts to establish a strong relationship between the intermittent by announcing the iterative status flags via tags and further utilizing it to improve work efficiency. The model eases the interaction and provides an automated channel for communication. This paper proposes the model and discusses its architecture and a sample workflow from a simulated industry transaction. The announcer space can also be integrated to live web data, making the system dynamic and self-learning to current market needs. The learning capability of the announcer contemplates modern challenges. The system attempts to achieve a natural order by balancing the system components’ workflow through the announcer model. The announcer model promises to provide an intellectual space for coordination and collaboration.