Computing

Computational mathematics (3)
Computer engineering (9)
Computer science (1330)
Computing (472)
Information system (521)
Information technology (899)
Software engineering (40)

Synopsis: Ict: Computing:

1 1. 2. Computer sciences, the Internet and mass media...7 1. 2. 1. Example of applying environmental principles...

Information technology LCPC: Laboratoire central des ponts et chaussã es MRI: Magnetic resonance imaging OECD: Organisation for Economic Co-operation and Development P2p:

Optimization techniques, such as constraint programming, are helpful for route allocation. The choice of aircraft model is made according to the number of passengers or loads.

The concern of energy providers and information technology (IT) application designers is on â€oeclean†and renewable energies, such as wind turbines, solar energy and biogas.

The invention of the computer and the quick development of computer science has had a very significant impact on our lives. 1. 2. Computer science, the Internet and mass media Computers

Other techniques of knowledge discovery, such as neural networks, genetic algorithms, induction or other multistrategy machine learning hybrid tools PIA 91

or captured from other organizations (geographic information system, satellites, etc.).Their vision, strategy and innovation attitude have been fruitful †in possession of a huge amount of data they have become the â€oemaster of the world†through data, the new capital.

Google also developed a machine-learning algorithm (artificial intelligence (AI)) that learns from operational data to model plant performance

such as high-performance computing (HPC), big data, M2m, cloud, security and mobility, dovetail neatly with the most crucial health issues:

computer science, social science, physics, biology, engineering, design, architecture and philosophy. A strong multidisciplinary and collaborative approach is the key requirement for large-scale technology innovation and the development of effective applications8.

The users of Microsoft, Google, Ecosia and others have to set a search language, which will limit the results of search to the chosen language.

health information systems offering an electronic agenda for appointments, as well as medical research survey for medical staff.

and requires collaboration between the future users, computer science and IT as well as from the social sciences. Ambient assisted living involves technologies such as sensors, specific equipment, robotics, user interaction (multimodal interfaces) and simulation platforms.

but their Innovation Landscape and Fields 31 safety remains to be demonstrated (see http://www. batiactu. com/edito/les-nanomateriaux-se-repandent-dans-le-batiment-38128. php).

Xerox invented the foundations of modern information systems, but they were never commercially successful with what they invented.

Most computer science training teaches how to think about â€oedata†(classifying things), whereas artificial intelligence enables us to learn how to think about â€oeknowledge†(problem-solving).

The Industrial Leadership program aims at renewing industry through information technologies (ITS), nanotechnologies, advanced materials, Challenges and Innovation Policies 87 advanced manufacturing and processing,

Their information systems are programmed not for effective and relevant matching of offer and demand. They need to be revisited,

http://www. europatriates. eu/index. php/en/)Jobs creation remains just a desire without providing the appropriate ecosystem and necessary conditions for the development of existing companies and creation of new companies.

For example, the seeker can design an image processing algorithm to automatically/semiautomatically perform segmentation on stacks of images of the esophagus. 2 https://www. innocentive. com/ar/challenge.

Information technology will play a special role because IT can supply the necessary connectivity and enable social networking among innovators

They are in charge of the direction, programming and facilitation of research in their areas of expertise:

HP Life E-learning offers free information technology (IT) training. Nevertheless, they can do better in reducing environmental impact by smarter managing of printing tools and supplies.

Comic computing uses a graphic art form and interaction technique that combines text and images to represent a story

A multidisciplinary approach ranging from computer science to molecular biology, integrating knowledge from the East and the West, is applied in this research.

They have launched a number of projects to raise awareness about the issues through volunteer computing for climate modeling

Even computing would take its cue from nature, with software that †evolves†solutions, and hardware that uses the lock-and-key paradigm to compute by touch†BEN 97.

available at http://www. batiactu. com/edito/les-nanomateriaux-se-repandent-dans-le-batiment-38128-p2. php, 2014.

EUR 14 EUROPATRIATES, available at http://www. europatriates. eu/index. php/en/,2014. EVR 14 EVRARD O.,POINTURIER F.,YUICHI O. et al.

â€, Communications of the Association for Computing Machinery (ACM), vol. 56, no. 7, pp 37†39,2013, available at http://cacm. acm. org/.

example of eco-design processâ€, Federated Conference on Computer science and Information systems, Krakow, Poland, 2013. MER 13b MERCIER-LAURENT E.,â€oeinnovating corporate management:

, 181 business model, 107 innovation, 62,126, 155 intelligence, 64,72, 113 watch, 79 computer science, 7†11,21, 26,69, 132 computers, 7, 13,15, 16,52

consequences of global business 1. 2. Computer science, the Internet and mass media 1. 2. 1. Example of applying environmental principles 1. 2. 2. Artificial intelligence 1. 2

Brocke Institute of Information systems University of Liechtenstein Vaduz Liechtenstein Theresa Schmiedel Institute of Information systems University of Liechtenstein Vaduz Liechtenstein ISSN 2192-8096 ISSN 2192

as well as v the whole team of the Institute of Information systems for their excellent work in preparing the conference and making every guest feel comfortable during their visit at our University.

and innovation to BPM will ultimately lead to a new class of (process-aware) information systems,

and practice of BPM in driving innovation in a digital world. 1 Introduction Information technology (IT) plays a vital role in driving innovation in today†s digital world,

only the incorporation of IT into business processes allows T. Schmiedel(*)•J. vom Brocke Institute of Information systems, University of Liechtenstein, Fuâ rst-Franz-Josef-Str. 21,9490 Vaduz

when information systems do not explicitly record events. Jan Recker gives insights on â€oeevidence-Based Business Process Management:

Digital innovation as a fundamental and powerful concept in the information systems curriculum. Management Information systems Quarterly, 38 (2), 329†354.

Guâ nther, C.,Rinderle-Ma, S.,Reichert, M.,Van der Aalst, W. M. P, . & Recker, J. 2008).

Introduction, methods and information systems (Vol. 1, pp. 3†16. Berlin: Springer. 14 T. Schmiedel and J. vom Brocke Kemsley, S. 2015.

Journal of Management Information systems, 26 (1), 197†224. Mclaughlin, D. 2013, June 17. More mobile devices than people by the end of 2013 †is prepared your business?

Identifying patterns of competences through latent semantic analysis. Enterprise Information systems, 8, 1†31. Recker, J. 2015.

Introduction, methods and information systems (Vol. 1, pp. 105†124. Berlin: Springer. Schmiedel, T.,vom Brocke, J,

Information systems and E-business Management, 9 (4), 407†446. Smith, H, . & Fingar, P. 2004, July).

Communications of the Association for Information systems, 34 (1), 151†167. vom Brocke, J.,Petry, M,

Application strategies for neuroscience in information systems design science research. Journal of Computer Information systems, 53 (3), 1†13. vom Brocke, J,

. & Rosemann, M. Eds.).2015). ) Handbook on business process management (2nd ed.).Berlin: Springer. vom Brocke, J.,Schmiedel, T.,Recker, J.,Trkman, P.,Mertens, W,

Design challenges. 2008 11th IEEE International Symposium on Object and Component-Oriented Real-time Distributed computing (ISORC)( pp. 363†369.

A new approach to business process innovation based on enterprise information systems. Enterprise Information systems, 1 (1), 113†128. doi:

10.1080/17517570601092143.28 C. Møller Møller, C.,Chaudhry, S. S, . & Jørgensen, B. 2008).

Information systems Frontiers, 10 (5), 503†518. doi: 10.1007/s10796-008-9106-3. Reinhart, G, . & Wuâ nsch, G. 2007).

International Journal of Information systems and Supply Chain Management, 5 (1), 1†19. doi: 10.4018/jisscm. 2012010101.

such as those in information technology, it could mean a very well-defined interface definition that, when correctly invoked and initiated, returns a pre-specified set of values based upon an equally well-defined set of input values.

For example, a difficult â€oeinventory problem†solution can also be looked at as a mixed integer-programming problem.

Or either of these perspectives on the problem might be restated as a dynamic programming or systems dynamics simulation problem.

European Journal of Information systems, 19 (3), 359†376. Alter, S. 2008. Service system fundamentals: Work system, value chain, and life cycle.

Working paper of Technische Universitat Munchen, Chair for Information systems, Munich, Germany. Malone, T. W.,Crowston, K,

Communications of the Association for Information systems, 16 (1), 1†25. Osterwalder, A.,Pigneur, Y.,Bernarda, G,

Introduction, methods and information systems (Vol. 1, pp. 3†16. Berlin: Springer. Muâ ller, O.,Schmiedel, T.,Gorbacheva, E,

Identifying patterns of competences through latent semantic analysis. Enterprise Information systems, 8, 1†31. Ohlsson, J.,Haâ ndel, P.,Han, S,

Introduction, methods and information systems (Vol. 1, pp. 109†124. Berlin: Springer. Schenk, B. 2015. The role of enterprise systems in process innovation.

Communications of the Association for Information systems, 34 (1), 151†167. vom Brocke, J.,Schmiedel, T.,Recker, J.,Trkman, P.,Mertens, W,

and Borgatti (2014) define SM as information technologies that support interpersonal communication and collaboration using Internet-based platforms.

Information systems Management, 26 (1), 61†76. Hawn, C. 2009. Take two aspirin and tweet me in the morning:

Journal of Information technology, 25 (3), 308†322. Majchrzak, A.,Jarvenpaa, S l, . & Hollingshead, A b. 2007).

Journal of Computer Information systems, 54 (2), 35†43. Moore, C. 1999. Best practices: Eureka! Xerox discovers way to grow community knowledge.

European Journal of Information systems, 19 (1), 76†92. Rosemann, M. 2006. Potential pitfalls of process modeling:

Handbook on business process management (Introduction, methods and information systems, Vol. 1, pp. 105†124. Berlin:

Issues in Information systems, 9 (2), 227†231. Silva, A r.,Meziani, R.,Magalhaes, R.,Martinho, D.,Aguiar, A,

The Journal of Strategic Information systems, 21 (1), 1†17. Trkman, P.,Kovacë icë, A, . & Popovicë, A. 2011).

Business and Information systems Engineering, 3 (4), 211†220. Trkman, P.,Mertens, W.,Viaene, S, . & Gemmel, P. 2015).

The Journal of Strategic Information systems, 21 (2), 154†164. Wagner, C, . & Majchrzak, A. 2007).

Journal of Management Information systems, 23 (3), 17†43. Weber, B.,Sadiq, S, . & Reichert, M. 2009).

Computer science-Research and development, 23 (2), 47†65. Weske, M. 2007. Concepts, languages, architectures (Vol. 14. Berlin:

B. Schenk(*)Institute of Information systems, University of Liechtenstein, Fuâ rst-Franz-Josef-Str. 21,9490 Vaduz, Liechtenstein e-mail:

and adding mobile computing components) triggering the process innovation. Additional capabilities of the system allow a new way of doing business.

as the embedment in enterprise systems (e g. mobile computing, in-memory computing, cloud computing) is a possible source of process innovation.

It exemplarily highlights the potentials of cloud computing paradigm adoption based on company size as classification criterion. 78 B. Schenk Cloud computing has been a buzzword in the area of enterprise computing for some years now.

integration of in-memory computing and mobile device access to enterprise systems. Integration can be achieved much easier in the cloud by using the existing infrastructure of a cloud solution provider than by implementation in conventional on-premise solutions.

The examples given above show the different expectations towards cloud computing deployment. While it is a clear cost-cutting measure

or integrating new technologies like in-memory computing or the cloud computing paradigm. What Weick (1977) calls a chronically unfrozen system in management theory can be transferred to the area of enterprise systems as a new modus operandi.

This transformation process is supported by achievements such as new technologies (e g. in-memory computing enabling real-time-process monitoring

and presentation layer extensions (e g. mobile computing allowing intensified interaction with the system in daily operations).

SAP€ s latest design thinking and business process transformation initiatives) 5 Summary Enterprise systems research has become a mature area in the field of information systems in the last years.

Journal of Information technology, 19 (1), 4†20. Mell, P, . & Grance, T. 2011). The NIST definition of cloud computing (800†145.

Information technology and product/service innovation: A brief assessment and some suggestions for future research. Journal of the Association for Information systems, 14 (4), 215†226.

Nandhakumar, J.,Rossi, M, . & Talvinen, J. 2005). The dynamics of contextual forces of ERP implementation.

Journal of Strategic Information systems, 14 (2), 221†242. Salleh, S m.,Teoh, S. Y, . & Chan, C. 2012).

Exploring new dimensions of information technology innovations. Journal of the Association for Information systems, 10 (1), 1†30.

Weick, K. E. 1977. Organization design: Organizations as self-designing systems. Organizational Dynamics, 6 (2), 31†46.84 B. Schenk Process Innovation with Disruptive Technology in Auto Insurance:

Driving behaviour parameters were measured by advanced signal-processing algorithms, filtering GPS data combined with sensor fusion from the accelerometer and gyroscope in the smartphone,

The data quality was assured by rigorous soft computing methods. However, the results did not fulfil all the initiative goals.

, BPM/WFM systems), most information systems do not record events explicitly. Cases and activities only exist implicitly.

W. M. P. van der Aalst(*)Architecture of Information systems, Eindhoven University of Technology, P o box 513,5600 MB Eindhoven, The netherlands International Laboratory of Process-Aware Information systems

model-based analysis and model-based implementation without using the valuable information hidden in information systems (Aalst, 2011).

Just like computer science emerged as a new discipline from mathematics when computers became abundantly available,

good processes are more important than information systems and data analysis. The old phrase â€oeit†s the process stupid†is still valid.

If a BPM system or some other process-aware information system is used, then it is trivial to get event logs, i e.,

However, in most organizations one encounters information systems built on top of database technology. The Ioe depends on a variety of databases (classical relational DBMSS or new â€oenosql†technologies.

Fortunately, database 2 For example, http://www. win. tue. nl/ieeetfpm/doku. php? idâ shared: process mining case stud ies lists over 20 successful case studies in industry.

monitor and improve real processes by extracting knowledge from event logs readily available in today†s information systems (Aalst,

Having start and complete events allows for the computation of activity durations. It is recommended to store activity references to be able to relate events belonging to the same activity instance.

and Object models Most information systems do not record events explicitly. Only process-aware information systems (e g.,, BPM/WFM systems) record event data in the format shown in Table 1. To create an event log

we often need to gather data from different data sources where events exist only implicitly.

Moreover, the â€oeregular tables†in a database only provide the current state of the information system.

The notion of process instances is made explicit in process-aware information systems, e g.,, Business Process Management (BPM) and Workflow Management (Wfm) systems.

Regular tables in a database provide a view of the actual state of the information system.

ISRN Software engineering, 1†37. doi: 10.1155/2013/507984 Aalst, W. van der (2013b. Process cubes: Slicing, dicing, rolling up and drilling down event data for process mining.

IEEE Transactions on Services Computing, 6 (4), 525†535. Aalst, W. van der (2014. Data scientist:

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Formal methods for web services (Lecture Notes in Computer science, Vol. 5569, pp. 42†88. Berlin:

IEEE International Enterprise Computing Conference (EDOC 2011)( pp. 55†64. IEEE Computer Society WASHINGTON DC, USA.

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In ACM Symposium on Applied Computing (SAC 2009)( pp. 1451†1455. New york, NY: ACM Press.

A region-based algorithm for discovering petri nets from event logs. In Business Process Management (BPM2008)( pp. 358†373.

ACM Transactions on Software engineering and Methodology, 7 (3), 215†249. Cook, J, . & Wolf, A. 1999).

ACM Transactions on Software engineering and Methodology, 8 (2), 147†176. Dumas, M.,Marcello La Rosa, M.,Mendling, J,

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Business Process Management (BPM 2010)( Lecture Notes in Computer science, Vol. 6336, pp. 211†226. Berlin:

Enabling flexibility in process-aware information systems: Challenges, methods, technologies. Berlin: Springer. Rosa, M. La, Reijers, H.,Aalst, W. van der, Dijkman, R.,Mendling, J.,Dumas, M.,et al.

Information systems, 33 (1), 64†95. Sole, M, . & Carmona, J. 2010). Process mining from a basis of regions.

Applications and Theory of Petri Nets 2010 (Lecture Notes in Computer science, Vol. 6128, pp. 226†245.

Information systems evolution (Lecture Notes in Business Information Processing, Vol. 72, pp. 60†75. Berlin: Springer.

innovation is seen also as applicable to the development of new service offerings, new business models, new processes or new management J. Recker(*)Information systems School, Queensland University of Technology, 2

While innovation is linked not necessarily to information technology, it is established well that successful technology innovation can lead to new businesses,

innovative information technology solutions drive organizational change (Markus & Robey, 1988. In fact, new products and services can be sufficiently successful to create entirely new markets (Berry, Shankar, Parish, Cadwallader, & Dotzel, 2006.

as an umbrella term to capture all sorts of Information technology platforms†those that exist to facilitate

but typically also advantages in analytics and computing power; that is, while more data can be generated,

who use data from an information system, together with their detailed knowledge of local customers, local events and all other factors that will influence sales.

One key technological innovation in replenishment processes has been the emergence of a specific kind of information system, namely, automated inventory replenishment systems,

Combining evidence from past sales data, forecasting algorithms as well as observations and evidence from how store managers operate,

Paper presented at the 17th Pacific Asia Conference on Information systems, Jeju Island, Korea. Edmondson, A c. 2011.

Journal of Strategic Information systems, 18 (1), 46†55. Malsbender, A.,Recker, J.,Kohlborn, T.,Beverungen, D,

Paper presented at the 34th International Conference on Information systems, Milan, Italy. Markus, M. L, . & Robey, D. 1988).

Information technology and organizational change: Causal structure in theory and research. Management Science, 34 (5), 583†598.

Scientific research in information systems: A beginner†s guide. Berlin: Springer. Rosenberg, W, . & Donald, A. 1995).

Communications of the Association for Information systems, 34 (7), 151†168. Evidence-Based Business Process Management:

M. Dumas(*)•F. M. Maggi Institute of Computer science, University of Tartu, J. Liivi 2, Tartu 50409, Estonia e-mail:

Here, a fault detection algorithm (local outlier factor) is used to estimate the probability of a fault occurring.

Acknowledgments This work is supported by ERDF via the Estonian Centre of Excellence in Computer science. References Birukou

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The research approach of this work stands in the tradition of German design science oriented research in the modelling of enterprise information systems (Frank, 2006:

and do not consider the modelling of business information systems in general. Furthermore, some approaches utilize an inductive strategy (Aier, Fichter, & Fischer, 2011;

However, most of the existing techniques and algorithms only take activities into account. There are several different approaches for the automatic detection of correspondences.

so that the algorithm is able to determine whether a node should be an activity or an event (in case of EPCS).

The Refmod-Mine/NSCM algorithm conducts an n-ary cluster matching, thus, the nodes of all models which should be matched are being compared pairwise,

& Flynn, 1999) cluster algorithms start with clusters of size 1 (activities) and consolidates two activities to a cluster

whereby stop words and waste characters like additional spaces are removed and (2) computing the Porter Stem stem wilã°Ã (Porter,

Finally, the algorithm returns binary simple or complex matches for the nodes of each model pair. 4. 2 Structural Analogies One of the main problems in reference modelling is the identification of correspondences (cf. 4. 1)

In order to match (cf. 4. 1) further elements, it is necessary to use advanced mapping algorithms that are able to identify antonyms like â€oeinvoice settled†and â€oepayment receivedâ€.

In comparison to the linear time computation of an RPST (Vanhatalo et al. 2009), the calculation of subgraph isomorphism is said to be NP complete (Garey & Johnson, 1979.

The MCC algorithm comprises three main steps: In the first step, a set of candidaterelations is calculated out of the existing nodes and edges in given Fig. 2 Structural analogue process chains Identification of Business Process Models in a Digital World

the algorithm is also able to present a completely integrated model containing all nodes of the underlying process models

JAVA was used as the programming language. The architecture of the tool consists of three layers that are shown in Fig. 4. At the lowest layer, functionalities for loading, storing,

the ARIS Markup language (AML) and EPC Markup language (EPML. The second layer contains concepts and algorithms

which support the analysis of individual enterprise models and the derivation of a reference model.

•an application of the inductive method to develop new reference models and •the development and application of techniques and algorithms for the corpus development.

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They propose using algorithms to parse labels written by modelers in order to detect grammatical mistakes and to prompt users to fix them. 3. 2 Use a Glossary As naming conventions only refer to standardizing the grammatical part,

An algorithm can then parse his sentence and deconstruct it into its parts. This allows not only a verification of the phrase structure, i e.,

Not only can this help to create more clearly arranged models (provided that the algorithm is good),

These conventions should be codified in the form of a layout algorithm which is the same for each modeler.

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rmfl@cin. ufpe. br H. A. Reijers Department of mathematics and Computer science, Eindhoven University of Technology, Den Dolech 2, 5612 AZ Eindhoven, The netherlands e-mail:

most organizations cannot exploit the opportunities given by information technology to solve these issues see also chapter by Schmiedel and vom Brocke (2015).

An architecture for the implementation of this concept in information systems is presented, as well as a prototype system that we have constructed

) The alignment between business processes and strategic goals has been approached by information systems literature in different ways.

) Unfortunately, current information systems do not offer support towards making the users aware of their role in the success of the organization†s strategy.

, to build a strategy model that is not only stored in an information system but that can also be interpreted by a computer to extract useful information from it.

Decision-making algorithms can be used to compile and present to the user recommendations about how to perform their job in alignment with the organ-ization†s priorities.

we apply concepts drawn from the architectures of context-aware information systems. In general, these systems are composed of three main elements:(

a decision algorithm is employed automatically to determine the recommended path to be followed by the user.

and to use information systems (IS) to support these. In particular, enterprise resource planning systems (ERP) or workflow management systems (Wfms) have been implemented

Then, using all these pieces of information it becomes possible to identify points for integrating concrete control activities into workflows. This can be realized by having automated search algorithms check the actual control parameters against the workflow instance information.

In Proceedings of the 25th international conference on advanced information systems engineering (CAISE€ 13)( pp. 154†160.

In Proceedings of the international workshop on information systems for social innovation 2011 (ISSI 2011)( pp. 230†236.

When information technology (IT) is used to enable business innovations, one also speaks of digital innovations (SAP, 2013).

and •process-aware information systems (e g. a BPM suite) to allow business people to model,

deploy and optimize business processes themselves (i e. without manual programming by software engineers). This third BPM wave initiated by Smith

Consequently, information systems should provide business-specific functionality, which typically requires knowledge of business processes. As in the previous section, the interrelationship is discussed first for IT development.

2014) 268 A. Van Looy information system), entailing a clear link to digital innovations. Some nontechnical examples for these capabilities may include, among others:(

and can therefore build a bridge between IT and corporate goals (e g. by process-aware information systems).

In Proceedings of the 18th Australasian conference on information systems (pp. 642†653. Toowoomba, Australia. Forrester.

Information technology project management. Boston, MA: Course Technology, Cengage Learning. Schmiedel, T.,vom Brocke, J, . & Recker, J. 2013).

Enterprise Information systems, 8 (2), 188†224. Van Looy, A. 2014. Business process maturity. A comparative study on a sample of business process maturity models (Springerbriefs in business process management.

A framework for information systems architecture. IBM Systems Journal, 26 (3), 276†292.274 A. Van Looy Driving Process Innovation:

J. Kettenbohrer(*)Department of Information systems and Services, University of Bamberg, An der Weberei 5, 96047 Bamberg, Germany e-mail:

Paper presented at the 31st International Conference on Information systems (ICIS), St louis. Loshin, D. 2008. Master data management.

Paper presented at the 13th European Conference on Information systems, Regensburg, Germany. Sackmann, S, . & Kittel, K. 2015).

Curricula Vitae Wil van der Aalst Eindhoven University of Technology, The netherlands Wil van der Aalst is a Full professor of Information systems at the Technische Universiteit Eindhoven (TU/e). He is the Academic

Supervisor of the International Laboratory of Process-Aware Information systems of the National Research University in Moscow.

, Germany Peyman Ardalani has been doing his academical research as a Ph d. student since 2012 at the Institute for Information systems (IWI) at the German Research Institute for Artificial intelligence (DFKI.

Earlier he has completed two Bachelor degrees in the fields of Software engineering and Economics pursuing his Master of science degree in the field of Information technology Engineering.

His research activities mainly focus on practical solutions for integrating business process models, analyzing the similarity of business process models and developing reference models.

Joâ rg Becker University of Muâ nster, Germany Joâ rg Becker is Full professor and head of the Department of Information systems at the University of Muâ nster.

He is the Academic Director of the European Research center for Information systems (ERCIS. He is Editor in Chief of the journal Information systems

and E-business Management and serves on various editorial boards. His work has appeared in several journals (e g.,

, Communications of the AIS, Information systems Journal, and Business Process Management Journal) and was presented on international conferences (e g.

Germany Daniel Beimborn is Full professor for Information systems at the Frankfurt School of Finance & Management, Germany.

such as MIS Quarterly, Journal of Management Information systems, Journal of IT, and he is member of the Editorial Review Board of the Journal of the AIS.

Marlon Dumas University of Tartu, Estonia Marlon Dumas is Professor of Software engineering at University of Tartu, Estonia.

Curricula Vitae 289 Peter Fettke Saarland University, Germany Peter Fettke obtained a master†s degree in Information systems from the University of Muâ nster, Germany, a Ph d. Degree

in Information systems from the Johannes Gutenberg-University Mainz, Germany, and a Habilitation Degree in Information systems from the Saarland University, Germany.

Currently, he is the deputy chair of the Institute for Information systems (IWI) at the German Research center for Artificial intelligence (DFKI), Saarbruâ cken.

In 2013 he became a DFKI Research Fellow. Peter has taught and researched previously at the Technical University of Chemnitz and the University Mainz,

and Philosophy of Information systems. He uses both design-oriented and experimental research methods. Shengnan Han Stockholm University, Sweden Shengnan Han is a senior lecturer and associated professor at Stockholm University, Sweden.

Economics) in information systems at AË bo Akademi University, Finland in 2005. Since 2001, she started her research and practice in mobile services.

She holds a Licentiate Degree in Information systems Development from Linkoâ ping University. She has a professional background from IT-consultancy related to different sectors.

Germany Janina is Graduate Research Assistant at University of Bamberg, Department of Information systems and Services.

She studied Information systems at University of Bamberg and she holds a Master of science. Her Ph d. topic covers the human side of business process standardization whereby her research focuses on business process standardization,

He has a background in business economics und computer science and has obtained his economic doctorate degree from the Martin-Luther-University Halle-Wittenberg in 2013.

Kai†s research interests are topics related to the use and management of information systems and information technology in business.

He holds a diploma in Business Information systems from the University of Cooperative Education Mannheim Germany, and a Master of business administration from University of Louisville, USA.

Curricula Vitae 293 Ricardo Massa F. Lima Federal University of Pernambuco, Brazil Ricardo Massa F. Lima received the Ph d. degree in computer science from Federal University

He is the Vice-Coordinator of UFPE€ s computer science postgraduate program. His main research interests include compiler construction and optimi-zation

and performance evaluation of discrete-event dynamic systems using Petri nets, with projects sponsored by the Brazilian Petroleum Industry (Petrobras), Saëoeo Francisco†s Hydroelectric Company (Chesf),

Germany Peter Loos is Director of the Institute for Information systems (IWI) at the German Research center for Artificial intelligence (DFKI)

and is Professor of Information systems at Saarland University. His research activities include business process management

information modelling, enterprise systems as well as implementation of information systems. Peter graduated from Saarland University (Dipl. -Kfm.).

Prior to this appointment, he was postdoctoral researcher in the Architecture of Information systems group at Eindhoven University of Technology.

declarative business process modeling and information systems monitoring. He has published close to 50 journal and conference articles in these fields.

He received a Ph d. in Computer science in 2010 from University of Bari. Curricula Vitae 295 Monika Malinova Vienna University of Economics and Business, Austria Monika Malinova is a teaching

She completed her Master studies in Information systems at the Humboldt Universitaâ t zu Berlin, Germany.

He has published more than 200 research papers, a o. in ACM Transactions on Software engineering and Methodology, IEEE Transaction on Software engineering, Information systems, Data & Knowledge Engineering,

Ceâ'sar Augusto L. Oliveira University of Pernambuco, Brazil Ceâ'sar Augusto L. Oliveira received the M. Sc. degree in computer engineering from the Computing systems Department, University

of Pernambuco (Recife, Brazil) in 2008 and his Ph d. degree in computer science from the Center for Informatics, Federal University of Pernambuco (Recife, Brazil), in 2014.

Curricula Vitae 297 Jan Recker Queensland University of Technology, Australia Jan Recker is the Woolworths Chair of Retail Innovation, Alexander-Von-humboldt Fellow and a Full professor for Information systems

Hajo Reijers Eindhoven University of Technology, The netherlands Hajo Reijers is a Full professor in Information systems at Eindhoven University of Technology as well as the head of BPM research at Perceptive Software.

He received a Ph d. in Computer science (2002), A m. Sc. in Computer science (1994), and A m. Sc. in Technology and Society (1994), all from TU/e. Hajo wrote his Ph d. thesis on the topic of BPM for the service industry

Australia Dr. Michael Rosemann is Professor and Head of the Information systems School at Queensland University of Technology,

he received a doctorate in 2003 and a professorship in information systems and business economics (Habilitation) in 2010.

Curricula Vitae 299 Bernd Schenk University of Liechtenstein, Liechtenstein Bernd Schenk is senior lecturer for Information systems at the University of Liechtenstein.

He holds a Ph d. in Information systems from the Vienna University of Economics and Business and a MSC from the University of Innsbruck, Austria.

Her research focuses on social aspects in information systems research particularly on the interconnection of culture and business process management (www. bpm-culture. org.

including Information & Management, Enterprise Information systems, and Business Process Management Journal, as well as in academic books and conference proceedings. 300 Curricula Vitae Tom Thaler Saarland University, Germany Tom Thaler is researcher at the Institute for Information systems (IWI) at the German Research center

for Artificial intelligence (DFKI) and research project lead at Saarland University. His research activities include business process management, process mining, software development as well as implementation of information systems.

After his study he worked as a Business intelligence Consultant at SAP. Since 2012 he coordinates the information systems study at Saarland University

and supervises several classes at Saarland University, Goâ ttingen University and VGU School of business Informatics. He is sponsored by the German Federal Ministry of Education and Research (BMBF) and currently works on his Ph d. thesis. Peter Trkman University of Ljubljana,

IEEE Transactions on Engineering Management, International Journal of Information management, International Journal of Production Economics, Journal of Strategic Information systems, Long Range Planning and Wirtschaftsinformatik.

Her research is published in scientific outlets such as Total Quality Management & Business Excellence, Enterprise Information systems,

He is Professor of Information systems, the Hilti Chair of Business Process Management, and Director of the Institute of Information systems.

He is Founder and Co-Director of the international Master Program in â€oeit and Business Process Management†and Director of the Ph d. program in â€oeinformation and Process Management†at the University of Liechtenstein (www. bpm

including MIS Quarterly (MISQ), the Journal of Management Information systems (JMIS), and the Business Process Management Journal (BPMJ).

Walter studied computer science at the Brandenburg University of Technology (BTU. His research activities include business process management, software development and graph theory.

See Capability layer model (CLM) Closed innovation, 5 Cloud, 12, 52†53,79, 80 computing, 13, 78†83 Co-creation, 34,39, 53â€

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