The new complex digital and information services systems and industries are calling for new transdisciplinary approaches on how to achieve technical, social, and cultural knowledge and skills to serve future needs of the industry and society. The leading digital industry is in demand of engineer's with knowledge and capabilities to collaborate and move between highly complex digital business and technical systems domains. The new reality is under constant transformation, highly intangible and nonlinear interconnected system. Transformative digital business innovations, rapidly evolving business models, architectures enabled business model scalability and ultra large-scale of systems are the new characteristics of this software-dominant-logic. This paper aims at covering contemporary challenges of the interdisciplinary in business, service, software and systems engineering by analyzing different research ontologies and curriculum models. The paper analyses recent Computer Science (CS) and Information Systems (IS) curriculum developments and reflects through different ontologies and recent research. Paper uses Service Design and Engineering (SDE) as a didactic and curriculum model for future Information Systems Engineering (ISE) and Business and Information Systems Engineering (BISE). The new curriculums serve the needs of global information start-ups, businesses, governments, and societies. This paper aims at describing the ontological foundations and conflicts, the axiology of the new curriculum model and proposes an integrated multi-ontology as the foundation for BISE new curriculum.
{"title":"Business and Information Systems Engineering -- In Quest for Research and Education Agenda in Europe","authors":"M. Helenius","doi":"10.1109/CBI.2013.34","DOIUrl":"https://doi.org/10.1109/CBI.2013.34","url":null,"abstract":"The new complex digital and information services systems and industries are calling for new transdisciplinary approaches on how to achieve technical, social, and cultural knowledge and skills to serve future needs of the industry and society. The leading digital industry is in demand of engineer's with knowledge and capabilities to collaborate and move between highly complex digital business and technical systems domains. The new reality is under constant transformation, highly intangible and nonlinear interconnected system. Transformative digital business innovations, rapidly evolving business models, architectures enabled business model scalability and ultra large-scale of systems are the new characteristics of this software-dominant-logic. This paper aims at covering contemporary challenges of the interdisciplinary in business, service, software and systems engineering by analyzing different research ontologies and curriculum models. The paper analyses recent Computer Science (CS) and Information Systems (IS) curriculum developments and reflects through different ontologies and recent research. Paper uses Service Design and Engineering (SDE) as a didactic and curriculum model for future Information Systems Engineering (ISE) and Business and Information Systems Engineering (BISE). The new curriculums serve the needs of global information start-ups, businesses, governments, and societies. This paper aims at describing the ontological foundations and conflicts, the axiology of the new curriculum model and proposes an integrated multi-ontology as the foundation for BISE new curriculum.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123513824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Financial markets are primarily driven by three key drivers, technologies, competition and globalization. These drivers are accompanied with challenging risks. Market authorities monitor activities in order to reduce to the barest minimum the adverse impacts some products and services have on the whole financial system. This indicates the need for a high quality monitoring and surveillance system. This paper examines financial markets as service systems that jointly create value to stakeholders. It proposes a framework for the design of financial market monitoring system based on the concept of service dominant logic, service science and systems thinking. Finally, it identifies a number of properties that need to be examined in financial markets service systems.
{"title":"Monitoring and Surveillance Systems for Financial Markets: A Service System Perspective","authors":"D. Diaz, B. Theodoulidis, Eliza Abioye","doi":"10.1109/CBI.2013.32","DOIUrl":"https://doi.org/10.1109/CBI.2013.32","url":null,"abstract":"Financial markets are primarily driven by three key drivers, technologies, competition and globalization. These drivers are accompanied with challenging risks. Market authorities monitor activities in order to reduce to the barest minimum the adverse impacts some products and services have on the whole financial system. This indicates the need for a high quality monitoring and surveillance system. This paper examines financial markets as service systems that jointly create value to stakeholders. It proposes a framework for the design of financial market monitoring system based on the concept of service dominant logic, service science and systems thinking. Finally, it identifies a number of properties that need to be examined in financial markets service systems.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130401225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We aim at understanding how cultural differences within an organisation contribute to the struggling/failure of EA guided enterprise transformations. Our earlier work, which builds on interviews with enterprise architects, suggests that communication breakdowns act as an intermediary variable between cultural diversity and transformation struggles. This paper discusses to what extent earlier work can be grounded in existing literature. On the one hand, we find support for most of the factors found in earlier work. However, on the other hand, some of our results cannot be grounded in the existing body of knowledge. For instance, our finding that over-communication leads to transformation struggle is not underlined by literature. Finally, we discuss the implications of this paper for our own research and for future research in general.
{"title":"Communication Breakdowns in Architecture Driven Transformations: The Result of Cultural Diversity? A Theoretical Grounding of Findings from Qualitative Interviews","authors":"Hella Niemietz, S. Kinderen","doi":"10.1109/CBI.2013.49","DOIUrl":"https://doi.org/10.1109/CBI.2013.49","url":null,"abstract":"We aim at understanding how cultural differences within an organisation contribute to the struggling/failure of EA guided enterprise transformations. Our earlier work, which builds on interviews with enterprise architects, suggests that communication breakdowns act as an intermediary variable between cultural diversity and transformation struggles. This paper discusses to what extent earlier work can be grounded in existing literature. On the one hand, we find support for most of the factors found in earlier work. However, on the other hand, some of our results cannot be grounded in the existing body of knowledge. For instance, our finding that over-communication leads to transformation struggle is not underlined by literature. Finally, we discuss the implications of this paper for our own research and for future research in general.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130334634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicolas Pflanzl, Dominic Breuker, Hanns-Alexander Dietrich, Matthias Steinhorst, Maria Shitkova, J. Becker, Patrick Delfmann
We introduce a pattern matching approach for conceptual models suitable for a number of model analysis scenarios like process weakness detection, process compliance checking, syntax verification and model translation. The approach does not depend on any particular modeling language which is achieved by treating conceptual models as labeled graphs. Consequently, we use pattern matching techniques known from algorithmic graph theory - sub graph isomorphism and sub graph homeomorphism. In general, algorithms solving these problems can be computationally expensive. However, special properties of conceptual models such as low tree width and planarity can be exploited to keep computational complexity manageable. This makes pattern matching applicable even to large models typically used in large companies or corporate groups. We introduce a high-level meta algorithm checking structural properties of input models and patterns to decide which low-level pattern matching algorithm will likely deliver search results quickest.
{"title":"A Framework for Fast Graph-Based Pattern Matching in Conceptual Models","authors":"Nicolas Pflanzl, Dominic Breuker, Hanns-Alexander Dietrich, Matthias Steinhorst, Maria Shitkova, J. Becker, Patrick Delfmann","doi":"10.1109/CBI.2013.42","DOIUrl":"https://doi.org/10.1109/CBI.2013.42","url":null,"abstract":"We introduce a pattern matching approach for conceptual models suitable for a number of model analysis scenarios like process weakness detection, process compliance checking, syntax verification and model translation. The approach does not depend on any particular modeling language which is achieved by treating conceptual models as labeled graphs. Consequently, we use pattern matching techniques known from algorithmic graph theory - sub graph isomorphism and sub graph homeomorphism. In general, algorithms solving these problems can be computationally expensive. However, special properties of conceptual models such as low tree width and planarity can be exploited to keep computational complexity manageable. This makes pattern matching applicable even to large models typically used in large companies or corporate groups. We introduce a high-level meta algorithm checking structural properties of input models and patterns to decide which low-level pattern matching algorithm will likely deliver search results quickest.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134592305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Activity Theory is a framework to understand the totality of human work and its praxis in an organization, since work cannot be understood or analysed outside the context in which it occurs. Thus, when analysing human work, we must take into consideration not only the actions of individuals but also who is involved, what are their motives and goals, which rules apply in the context, what tools are used and the community in a minimum space where the work occurs. We call this minimum space an activity and can represented in a diagram called Activity Diagram. This theory also helps to understand the causes of every day organization problems, called contradictions in Activity Theory parlance. It appears that there is a lack of current methodologies that address the question of how to resolve the contradictions and how is assists in transforming an organization. This paper proposes a framework of how analysis contradictions within an organization, using Activity Diagram and DEMO.
{"title":"How to Handle Activity Theory Contradictions in DEMO Model","authors":"António Gonçalves, P. Sousa, Marielba Zacarias","doi":"10.1109/CBI.2013.13","DOIUrl":"https://doi.org/10.1109/CBI.2013.13","url":null,"abstract":"Activity Theory is a framework to understand the totality of human work and its praxis in an organization, since work cannot be understood or analysed outside the context in which it occurs. Thus, when analysing human work, we must take into consideration not only the actions of individuals but also who is involved, what are their motives and goals, which rules apply in the context, what tools are used and the community in a minimum space where the work occurs. We call this minimum space an activity and can represented in a diagram called Activity Diagram. This theory also helps to understand the causes of every day organization problems, called contradictions in Activity Theory parlance. It appears that there is a lack of current methodologies that address the question of how to resolve the contradictions and how is assists in transforming an organization. This paper proposes a framework of how analysis contradictions within an organization, using Activity Diagram and DEMO.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122224772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The resource shortage that organizations are actually facing requires innovative solutions to optimize their business transactions and to aid their decision-making processes. Business transaction models prescribe the design freedom restrictions for producing a new service or product, and are useful to share a common understanding between the stakeholders. The contemporary advances such as the DEMO theory and methodology present strong foundations to describe the business transaction model dynamics. Still, the models itself, do not guarantee that the business actors perform them accordingly during operation. The business rules are a coherent and consistent set of actionable directives intended to steer the enterprise operation. In this scope, we explain and simulate a decision-making process, using Markov decision processes, to elicit the business rules that optimize the value function of the business transactions operation. A preliminary experiment of producing and selling goods is used to illustrate the approach.
{"title":"Business Rules Elicitation Combining Markov Decision Process with DEMO Business Transaction Space","authors":"Sérgio Guerreiro","doi":"10.1109/CBI.2013.11","DOIUrl":"https://doi.org/10.1109/CBI.2013.11","url":null,"abstract":"The resource shortage that organizations are actually facing requires innovative solutions to optimize their business transactions and to aid their decision-making processes. Business transaction models prescribe the design freedom restrictions for producing a new service or product, and are useful to share a common understanding between the stakeholders. The contemporary advances such as the DEMO theory and methodology present strong foundations to describe the business transaction model dynamics. Still, the models itself, do not guarantee that the business actors perform them accordingly during operation. The business rules are a coherent and consistent set of actionable directives intended to steer the enterprise operation. In this scope, we explain and simulate a decision-making process, using Markov decision processes, to elicit the business rules that optimize the value function of the business transactions operation. A preliminary experiment of producing and selling goods is used to illustrate the approach.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123924563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Brook, C. Sharp, G. Ushaw, W. Blewitt, G. Morgan
High frequency trading (HFT) environments provide technologies that enable algorithmic trading within automated marketplaces. The most prominent example of an HFT environment is within equity trading, where many millions of trades are achieved at a high volume to gain a reasonable cumulative profit. Such environments rely on low latency/high performance technologies to allow trades to react in a timely manner to market volatility. However, sometimes the volatility of the market goes beyond what supporting infrastructure can allow, resulting in erroneous behaviour of the marketplace. In this paper we tackle the problem of managing market volatility to limit erroneous market behaviour. Our approach is unique in that it is non-dependent on the trading environment itself and self-regulates based only on trading frequency and contention. We demonstrate our results and show that by managing trade injection rates and contention of shared state the volatility of HFT environments can be managed appropriately and in an automated manner.
{"title":"Volatility Management of High Frequency Trading Environments","authors":"M. Brook, C. Sharp, G. Ushaw, W. Blewitt, G. Morgan","doi":"10.1109/CBI.2013.23","DOIUrl":"https://doi.org/10.1109/CBI.2013.23","url":null,"abstract":"High frequency trading (HFT) environments provide technologies that enable algorithmic trading within automated marketplaces. The most prominent example of an HFT environment is within equity trading, where many millions of trades are achieved at a high volume to gain a reasonable cumulative profit. Such environments rely on low latency/high performance technologies to allow trades to react in a timely manner to market volatility. However, sometimes the volatility of the market goes beyond what supporting infrastructure can allow, resulting in erroneous behaviour of the marketplace. In this paper we tackle the problem of managing market volatility to limit erroneous market behaviour. Our approach is unique in that it is non-dependent on the trading environment itself and self-regulates based only on trading frequency and contention. We demonstrate our results and show that by managing trade injection rates and contention of shared state the volatility of HFT environments can be managed appropriately and in an automated manner.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127871454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Multi-sourcing is a common procurement practice, especially for key products with low total costs because of risk considerations. In this context often split award auctions are applied. We develop two different descending split award auctions where the auctioneer buys a bundle of four different products. Each of the items is bought through two lots each with different sizes to different bidders. Firstly, we set up these auction formats in an iterative setting and find that the communication complexity differs significantly. One format is the Reverse Combinatorial Clock (RCC) auction. Combinatorial auctions have been suggested as a mean to raise efficiency in multi-item negotiations with complementarities among goods as they can be found in procurement, energy markets, transportation and the sale of spectrum auctions. The second format is the simultaneous Yankee auction (SY) which is a variation of the simultaneous multi-round auction (SMRA). We perform simulations in different treatments and find out that the RCC results in a better efficiency and auctioneer costs in most cases, especially using a combination of straight forward and power set bidding strategies. We conclude, that even in environments with complementarities an efficient bidding language using the right auction format and rules, as the configuration of our SY auction, can result in almost as efficient outcomes as a combinatorial auction with the advantage of being computational tractable.
{"title":"Procurement Sales with (Homogeneous and) Heterogeneous Goods","authors":"S. Mayer, Lucas Louca","doi":"10.1109/CBI.2013.35","DOIUrl":"https://doi.org/10.1109/CBI.2013.35","url":null,"abstract":"Multi-sourcing is a common procurement practice, especially for key products with low total costs because of risk considerations. In this context often split award auctions are applied. We develop two different descending split award auctions where the auctioneer buys a bundle of four different products. Each of the items is bought through two lots each with different sizes to different bidders. Firstly, we set up these auction formats in an iterative setting and find that the communication complexity differs significantly. One format is the Reverse Combinatorial Clock (RCC) auction. Combinatorial auctions have been suggested as a mean to raise efficiency in multi-item negotiations with complementarities among goods as they can be found in procurement, energy markets, transportation and the sale of spectrum auctions. The second format is the simultaneous Yankee auction (SY) which is a variation of the simultaneous multi-round auction (SMRA). We perform simulations in different treatments and find out that the RCC results in a better efficiency and auctioneer costs in most cases, especially using a combination of straight forward and power set bidding strategies. We conclude, that even in environments with complementarities an efficient bidding language using the right auction format and rules, as the configuration of our SY auction, can result in almost as efficient outcomes as a combinatorial auction with the advantage of being computational tractable.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124244781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The paper is dedicated to a systematic overview of Social Computing as a field of literature.
这篇论文致力于将社会计算作为一个文学领域进行系统的概述。
{"title":"Social Computing Literature: A Systematic Review","authors":"P. Bogolyubov, Mikhail M. Komarov","doi":"10.1109/CBI.2013.67","DOIUrl":"https://doi.org/10.1109/CBI.2013.67","url":null,"abstract":"The paper is dedicated to a systematic overview of Social Computing as a field of literature.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114317705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nataliia Pobiedina, J. Neidhardt, María del Carmen Calatrava Moreno, László Grad-Gyenge, H. Werthner
Teamwork plays an important role in many areas of today's society, such as business activities. Thus, the question of how to form an effective team is of increasing interest. In this paper we use the team-oriented multiplayer online game Dota 2 to study cooperation within teams and the success of teams. Making use of game log data, we choose a statistical approach to identify factors that increase the chance of a team to win. The factors that we analyze are related to the roles that players can take within the game, the experiences of the players and friendship ties within a team. Our results show that such data can be used to infer social behavior patterns.
{"title":"On Successful Team Formation: Statistical Analysis of a Multiplayer Online Game","authors":"Nataliia Pobiedina, J. Neidhardt, María del Carmen Calatrava Moreno, László Grad-Gyenge, H. Werthner","doi":"10.1109/CBI.2013.17","DOIUrl":"https://doi.org/10.1109/CBI.2013.17","url":null,"abstract":"Teamwork plays an important role in many areas of today's society, such as business activities. Thus, the question of how to form an effective team is of increasing interest. In this paper we use the team-oriented multiplayer online game Dota 2 to study cooperation within teams and the success of teams. Making use of game log data, we choose a statistical approach to identify factors that increase the chance of a team to win. The factors that we analyze are related to the roles that players can take within the game, the experiences of the players and friendship ties within a team. Our results show that such data can be used to infer social behavior patterns.","PeriodicalId":443410,"journal":{"name":"2013 IEEE 15th Conference on Business Informatics","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129527762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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