Agent-based approach to enhance the new born social Web of Services
In this paper, we developed a business model of Social Web of Services that combines the idea of common social web and usual service selling, enhancing usual suggested ways of controlling smart devices. We modelled human-thing interactions using an agent-based simulation (ABM) to investigate the impact of IoT on human (user) behaviour patterns in order to provide analytical support and enhance the analysed business model. Results of this work can be used to predict people's way of living in the era of Smart things observing viral effects of Things application.
This is a compilation of all presentations given at the 9th South Caucasus Media Confirence, organized by the Representativ’s office, which brought together international and local experts from three South Caucasus participating States of the OBSE. This publication is designed to serve as a record of the events of that conference and is intended for journalists, government and regulatory officials and students.
We present a complex analysis of business models for large, medium and small Russian commercial banks from 2006 to 2009. The Russian banks are grouped based on homogeneity criteria of their financial and operational outcomes. The banks’ structure of assets and liabilities, profitability and liquidity ratio are taken into account. The results show how the banks are adjusted their business models before and after the financial turmoil taken place in 2008. In addition, the prevailing banking business models observed for the leading banks in Russia are defined. The banks often changing their business models are found and analyzed.
This book constitutes the proceedings of the 9th International Workshop on Enterprise and Organizational Modeling and Simulation, EOMAS 2013, held in conjunction with CAiSE 2013 in Valencia, Spain, in June 2013.
Tools and methods for modeling and simulation are widely used in enterprise engineering, organizational studies, and business process management. In monitoring and evaluating business processes and the interactions of actors in a realistic environment, modeling and simulation have proven to be both powerful, efficient, and economic, especially if complemented by animation and gaming elements.
The ten contributions in this volume were carefully reviewed and selected from 22 submissions. They explore the above topics, address the underlying challenges, find and improve solutions, and show the application of modeling and simulation in the domains of enterprises, their organizations and underlying business processes.
A fridge plays an important role in the kitchen in comparison to other appliances because it helps to store food products at optimal conditions for a long period of time. The ordinary refrigerators perfectly allow preserving meals but they are not effective in case of food management. Providing a remote control for home appliances extends the everyday usage of these devices. In addition to the remote control device, some manufacturers use additional modules such as internal cameras and hands-free speaker for convenient control of an appliance. All these devices are able to communicate with each other to reach common goals. The home appliance producer Liebherr in cooperation with technology company Microsoft developed a solution for remote control of refrigeration with possibility of food recognition using Machine Learning algorithms. This option enables automatic compiling of the list of food stored in the fridge and food ordering in an online shop without manual actions. This opportunity enables not only a convenient usage of an appliance but also allows reduction of electricity consumption because user does not open fridge doors frequently as far as he knows a list of food in refrigerator. In this paper we describe SmartDevice technology from Liebherr that was developed for adding smart features to the brand products. In particular, we review main business processes of SmartDevice, discuss advantages and disadvantages of this solution for the end customers and identify future research for creating smart fridges.
For the development of technological innovations it is essential to ensure competent and modern commercialization within the framework of balanced business models. Multifactor cluster analysis of business models of contemporary high-technology companies and industries shows that the most effective commercialization emanate in the framework of four basic models. Company's profitability does not depend directly on the level of its technologies, but is determined by the quality of these business models. Besides trends in high-technology industries demonstrate raising segmentation and differentiation of markets and more frequent utilization of value network models.
The structure of a complex of models of interaction of participants is offered at designing and operation of the logistical center (LC), and also variants of modeling of the organizational-administrative decisions defining efficiency of functioning and interaction of counterparts in LC. The algorithm of construction of organizational-administrative model LC is shown. Problems of interorganizational coordination in LC are considered and decisions which allow to eliminate the reasons of occurrence of conflicts are offered. Mechanisms of counterparts LC centralized and decentralized coordination are opened.
The present article contains amendments to the defi nitions of such notions as e-company, traditional company, virtual company and network company. A classifi cation of modern business models based on two criteria is proposed. A classifi cation of companies (based on the criterion of combination of traditional and electronic business tools) is outlined.
This is a compilation of all presentations given at the 14th Central Asia Media Confirence, organized by the Representativ’s office, which brought together international and local experts from five Central Asia participating States of the OBSE. This publication is designed to serve as a record of the events of that conference and is intended for journalists, government and regulatory officials and students.