DEVELOPMENT OF A BUSINESS MODEL FOR SOCIAL WEB OF SERVICES
The object of this research paper is the way to organize an e-business based on the concept of smart things. In order to achieve the objective of this work - the development of a business model for Social Web of Services - several tasks were set and accomplished: existing concepts of the Internet of Things, the Internet of Service and the Web of Service were described, defined and redefined, making clear the differences and similarities between them. After this, the vision of the Social Web of Service concept is provided and several business models of service providers are reviewed based on the mentioned concept. The business models are presented in graphical view according to the business models representation methodology by Alexander Osterwalder. There is also a presentation of a new business model for a Social Web of Service company. Tis model was developed according to the analysis of existing companies, their strength points and ways of monetization, and main trends in this sphere. Moreover, some limitations of this model along with possible future development areas for it are provided. The offered paper may be considered as a novelty due to the new approach presented in it, identifying the Social Web of Service and the business model developed for companies working according to the for Social Web of Service concept, considering also companies working in areas close to Social Web of Service.
FRUCT is the largest regional cooperation framework between academia and industry in form of open innovations. FRUCT conferences are attended by the representatives of 25 FRUCT member universities from Russia, Finland, Denmark, Italy, Ukraine, India, industrial experts from Qt community, EMC, EIT ICT Labs, Nokia Siemens Networks and a number of guests from other companies and universities.
This book constitutes the joint refereed proceedings of the 15th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2015, and the 8th Conference on Internet of Things and Smart Spaces, ruSMART 2015, held in St. Petersburg, Russia, in August 2015. The 74 revised full papers were carefully reviewed and selected from numerous submissions. The 15 papers selected for ruSMART are organized in topical sections on IoT infrastructure, IoT platforms, smart spaces and IoT cases, and smart services and solutions. The 59 papers from NEW2AN deal with the following topics: streaming, video, and TCP applications, mobile "ad hoc" networks, security, and clouds, sensor networks and IoT, cellular systems, novel systems and techniques, business and services, signals and circuits, optical and satellite systems, and advanced materials and their properties.
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.
The Internet of Things (IoT) has become an important research topic in the last decade, where things refer to interconnected machines and objects with embedded computing capabilities employed to extend the Internet to many application domains. While research and development continue for general IoT devices, there are many application domains where very tiny, concealable, and non-intrusive Things are needed. The properties of recently studied nanomaterials, such as graphene, have inspired the concept of Internet of NanoThings (IoNT), based on the interconnection of nanoscale devices. Despite being an enabler for many applications, the artificial nature of IoNT devices can be detrimental where the deployment of NanoThings could result in unwanted effects on health or pollution. The novel paradigm of the Internet of Bio-Nano Things (IoBNT) is introduced in this paper by stemming from synthetic biology and nanotechnology tools that allow the engineering of biological embedded computing devices. Based on biological cells, and their functionalities in the biochemical domain, Bio-NanoThings promise to enable applications such as intra-body sensing and actuation networks, and environmental control of toxic agents and pollution. The IoBNT stands as a paradigm-shifting concept for communication and network engineering, where novel challenges are faced to develop efficient and safe techniques for the exchange of information, interaction, and networking within the biochemical domain, while enabling an interface to the electrical domain of the Internet.
Subject: smart house maintenance requires taking into account a number of factors - resource conservation, mitigating working expenditures, safety enhancement, ensuring comfort of leisure and operation. Automation of such engineering systems networks as illumination, climate control, security and communication, may be achieved through utilization of contemporary technologies (e.g. IoT – Internet of Things). However, storing and processing the overwhelmingly massive corpora of data produced by the aforementioned systems poses a significant challenge. It is necessary to rationally manage the available big data during the stage of information modelling, due to the fact, that a building’s lifespan outlives most iterations of safety, comfort, and maintenance standards substantially.
Materials and methods: since smart houses may be classified as human-machine systems, the cybernetic approach will be considered as the base method of information system design and discovery. Instrumental methods are represented by set-theoretical modelling, automata theory and architectural principles of information management systems’ organization.
Results: an agile architecture of information system for smart house hardware management has been synthesized. The architecture encompasses several levels: client level, application level and data level; as well as three layers: presentation level, actuating devices layer and analytics layer. As proposed, the problem of growing volumes of information process by realtime message controller is attended by employment of sensors with configurable thresholds and actuating mechanisms, which implement control logic based on discrete automaton (namely, logical algorithm schemes). Multicircuit control system is suggested to be additionally enhanced with datamining module, DBMS, datamarts, and OLAP cube, which are jointly capable of processing large amount of data produced by hardware subsystems.
Conclusions: an information system for smart house hardware management, once built according to the proposed architecture, will enhance the quality of decision-making process, decrease operational costs of the smart house, due to the datamining-enabled control circuit. Suggested solution is recommended to be employed for the management of buildings and constructions, that utilize means of automation and IoT.
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.
This article analyzes the possible applications of the system provide automated access to electricity in public places “Public socket”, identifies the technical requirements for this kind of systems, assesses the volumes of market segments, analyzes competing technologies and generates recommendations to promote this product to market.
Research area is automated systems to provide users with access to electricity in public places, including for charging mobile devices.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.
The manual is intended for students of Department of computer engineering MIEM HSE. In the textbook based on the courses "Economics of firm" and "the development strategy of the organization." Discusses the key conceptual and methodological issues of the theory and practice of Economics and development planning of the organization. The use of textbooks will enable students: to analyze key performance indicators, and use the tools of strategic analysis with reference to concrete situations in contemporary Russian and international business. Special attention is paid to the methods and systems of information support of the life support functions of business organizations and management methodology of innovation and investment. An Appendix contains source data for analysis of competition in a particular industry.
The paper provides a number of proposed draft operational guidelines for technology measurement and includes a number of tentative technology definitions to be used for statistical purposes, principles for identification and classification of potentially growing technology areas, suggestions on the survey strategies and indicators. These are the key components of an internationally harmonized framework for collecting and interpreting technology data that would need to be further developed through a broader consultation process. A summary of definitions of technology already available in OECD manuals and the stocktaking results are provided in the Annex section.
Over the last two decades national policy makers drew special attention to the implementation of policy tools which foster international cooperation in the fields of science, technology, and innovation. In this paper, we look at cases of Russian-German collaboration to examine the initiatives of the Russian government aimed at stimulating the innovation activity of domestic corporations and small and medium enterprises. The data derived from the interviews with companies’ leaders show positive effects of bilateral innovative projects on the overall business performance alongside with major barriers hindering international cooperation. To overcome these barriers we provide specific suggestions relevant to the recently developed Russian Innovation Strategy 2020.