Public and private organizations are entering into the digital world where real time data is available about their operations and operating environments, third-party services offered to increase their performance, and changes in the demands of their customers. Such abundance of data offers new opportunities but also raises new challenges for information systems. The systems have to exploit these data to help (networked-) organizations to decide and conduct appropriate business transformations that are necessary to guarantee their survival in an ever changing world.
The digitalization of the world, the availability of data in real-time and the increasing connections of things, IT-systems, and organizations have significantly increased the role of information systems in the organizations during the last decades. Historically, enabled by databases and file systems technologies supporting data storage and retrieval facilities, information systems have proven instrumental in supporting management issues associated with the optimization and partial automation of processes and document flows in more efficient organizations.
With the internet and web technologies, enhancing the quality of the information, information systems are increasingly regarded as a centre of profit rather than a centre of costs. The transformation of data into information intensive services creating new customer/client value has led organizations to reshape their business value proposition. Architecture of information systems has evolved to enable increasingly interconnected service systems.
Today, technologies (like IoT and natural interfaces) are becoming more and more pervasive, allowing to process increasingly more data on all the facets of an organization and its environment. The collection of data is no longer limited to its processes and information flows. Data is available about almost any relevant aspect of the organization. With the support of new computational and cognitive technologies for managing this abundance of data, the key challenge is to evolve information systems into smart systems. These systems have to be sufficiently agile to rapidly analyse, predict and manage the needed disruptive and incremental business transformations of operations. From a centre of profit, information systems are now becoming the centre for sustainability of the organizations.
CAiSE ’17 will feature a best paper award, a special issue, and a PhD-thesis award:
Papers should be submitted in PDF format. The results described must be unpublished and must not be under review elsewhere. Submissions must conform to Springer’s LNCS format and should not exceed 15 pages, including all text, figures, references and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. Information about the Springer LNCS format can be found at http://www.springer.com/comp/lncs/authors.html. Three to five keywords characterizing the paper should be indicated at the end of the abstract. The type of paper (technical/empirical evaluation/experience/exploratory paper) should be indicated in the submission.
Submission is done through CyberChair at the following page: http://cyberchairpro.borbala.net/caisepapers/submit/.
Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional board committee member. The selected papers will be discussed among the paper reviewers on-line and additionally during the program board meeting in Luxembourg. Accepted papers will be presented at CAiSE ’17 and published in the conference proceedings http://www.springer.com/computer/lncs (Springer Lecture Notes in Computer Science (LNCS)).
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We invite four types of original and scientific papers:
Formal and/or technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and the potential – or, even better, the evaluated – benefits of the contribution.
Empirical evaluation papers evaluate existing problem situations or validate proposed solutions with scientific means, i.e. by empirical studies, experiments, case studies, simulations, formal analyses, mathematical proofs, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate.
Experience papers present problems or challenges encountered in practice, relate success and failure stories, or report on industrial practice. The focus is on ‘what’ and on lessons learned, not on an in-depth analysis of ‘why’. The practice must be clearly described and its context must be given. Readers should be able to draw conclusions for their own practice.
Exploratory papers can describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities or new IS challenges. They must describe precisely the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness to addressing the identified situation.
For all the submissions and depending on their type, we invite the authors to be explicit about the research method used.
Contributions are welcome in terms of models, methods, techniques, architecture and technologies. Each contribution should explicitly address the engineering or the operation of information systems. Each contribution should clearly identify the information systems problem addressed as well as the expected positive impact of the contribution to information system engineering or operation. We strongly advise authors to clearly emphasize those aspects in their paper, including the abstract.
Contributions about methods, models, techniques, architectures and platforms for supporting the engineering and evolution of information systems and organizations in the digital connected world could include (but are not limited to):