By Witold Abramowicz, Rainer Alt, Bogdan Franczyk
This publication includes the refereed lawsuits of the nineteenth foreign convention on company info platforms, BIS 2016, held in Leipzig, Germany, in July 2016. The BIS convention sequence follows traits in academia and enterprise study; hence the topic of the BIS 2016 convention used to be clever enterprise Ecosystems". This acknowledges that no enterprise is an island and pageant is more and more occurring among enterprise networks and not among person businesses. numerous features is correct for designing and realizing clever company ecosystems. They succeed in from new enterprise versions, worth chains and techniques to all facets of analytical, social and company functions and systems in addition to cyber-physical infrastructures.
The 33 complete and 1 brief papers have been rigorously reviewed and chosen from 87 submissions. they're grouped into sections on ecosystems; immense and shrewdpermanent info; shrewdpermanent infrastructures; strategy administration; company and company modeling; carrier technological know-how; social media; and applications.
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Additional info for Business Information Systems: 19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016, Proceedings
The main elements of each approach are summarized in Table 1, and the main strengths and weaknesses for big data value assessment are indicated. The main strengths of the framework advanced in this article compared to the other two approaches are: (i) it addresses technologyrelated aspects which are of high importance in the context of big data, (ii) it provides support in identifying value creation from an investment, (iii) supports a cause-eﬀect analysis between the elements included in the framework, (iv) it was constructed explic‐ itly to address the speciﬁcities of the ﬁnancial sector, which is targeted in this research project.
As a last step, the developed frame‐ work is empirically validated. Step 5 also served to gain practical insights with respect to the use of the proposed framework in practice. Altogether, the last part of the research project concerned the analysis of the results, ﬁnal reﬁnement of the framework and the elaboration of a set of recommendations for future research work. Fig. 1. Research methodology 3 Business Value and Big Data: An Overview In basic terms, big data refers to datasets that are large in volume, diverse in data sources and types, and created quickly, resulting in bigger challenges in harvesting, managing and processing them via traditional systems and capabilities .
G. ABI/Inform, ScienceDirect, and Emerald) and interviewing experts in the ﬁelds of ﬁnancial services and big data2. The key design issue was capturing the value of investing in big data for the ﬁnancial services industry. The information from the document study was used as input to deﬁne the questions for the semi-structured interviews. , drivers leading to positive cash-ﬂow, solutions that could be implemented right away. The structure of the interview and examples of questions in each category are provided in the Appendix.
Business Information Systems: 19th International Conference, BIS 2016, Leipzig, Germany, July, 6-8, 2016, Proceedings by Witold Abramowicz, Rainer Alt, Bogdan Franczyk