BLED 2016 PROCEEDINGS
Bled eConference has been shaping electronic interactions since 1988. It attracts speakers and delegates from business, government, information technology providers and universities and is the major venue for researchers working in all aspects of “e”.
The conference venue is the Alpine village of Bled, 30 km south of the Austrian border – one of the most beautiful spots imaginable. Expect to learn and play and come away feeling that you have achieved more than you normally would at any conference.
With fresh ideas and complementary themes we would like to establish a creative environment for researchers, government, industry/business representatives and technology providers and an attractive meeting point for discussing new R&D and project ideas, also in the spirit of new Horizon 2020.
The conference has a wide appeal, offering:
- a fully-refereed Research Track, devoted to researchers in all aspects of “e”;
- ePrototype Students Bazaar, offering the students opportunities to present innovative e- or m-Business ideas, models, prototypes and apps;
- Graduate Students Research Consortium, offering the students to present their ongoing master’s and PhD study results;
- a Business and Government Panel Track which attracts eminent business and government leaders from Europe, the Americas and Asia-Pacific;
- Business, Government and Academic Workshops and Meetings offering unparalleled opportunities to discuss, share and learn with colleagues from around the world;
- EU projects dissemination meetings; enabling project partners to connect with other similar projects and to disseminate results to a wider community.
This article is dedicated to the problem of communication; on the process example is considered the part of documentation support with analysis that specify some mistakes and context risks that can decrease process performance.
This article is a final report of process enhancement project in one of the leading Russian banks. It was done with the set of tools and techniques for enriching process models with semantic information and adjusting them on request. We propose an approach for binding these models with corresponding documents and expert profiles define factors that trigger models’ changes using company’s information field.
Moving to the cloud is one such business process enabling Big Data. Cloud enables to process Big Data paying only for the time. This makes Big Data processing cost-effective in terms of both operational expenses (OpEx) and capital expenses (CapEx).
ICIS 2016 SIG on BDA Proceedings include innovative techniques that companies use in business processes to deal with the growing demands of Big Data.
International Conference on Information Systems (ICIS) is the major annual meeting of the Association for Information Systems (AIS) , which has over 4,000 members representing universities in over 95 countries worldwide. It is the most prestigious gathering of academics and practitioners in the IS discipline, and provides a forum for networking and sharing of latest ideas and highest calibre scientific work amongst the IS profession. Each year, over 1,000 IS academic professionals from around the world participate in the conference program, which includes about 60 sessions and 180 presentations, in addition to keynotes and panels. The theme of ICIS 2017 is Transformation Society with Digital innovation.
The objective is to provide an opportunity for Big Data researchers and practitioners to build a dynamic community for open and constructive discussions and exchange of academia and industrial experience.
ICIS 2017 SIG on BDA Proceedings include the topics of Business process modelling, Enterprise Architecture, Data Processing and on e-Commerce to find out the new industrial impacts of applied Big Data analytics, e.g. in marketing, risk-assurance, logistics and quality management.
International Conference on Information Systems (ICIS) is the major annual meeting of the Association for Information Systems (AIS) , which has over 4,000 members representing universities in over 95 countries worldwide. It is the most prestigious gathering of academics and practitioners in the IS discipline, and provides a forum for networking and sharing of latest ideas and highest calibre scientific work amongst the IS profession. Each year, over 1,000 IS academic professionals from around the world participate in the conference program, which includes about 60 sessions and 180 presentations, in addition to keynotes and panels.
Currently businesses are constantly adapting their business processes to the ever-changing market conditions. This involves a continuous monitoring and improvement of business processes. Process Mining is a useful approach to automated reconstruction of business process models from event logs collected from company’s information systems, as well as to detecting deviations from the assumed process model and to monitoring of process’ KPIs. There is a growing trend towards implementing Process Mining tools for logistics and supply chain management. This paper presents the key concepts of Process Mining. The methods are illustrated with a practical example of a logistical process analysis. We consider three main types of Process Mining. Finally, an overview of research and business cases for Process Mining in logistics and supply chain management is provided.
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
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.