{"id":3003,"date":"2021-01-27T05:29:36","date_gmt":"2021-01-27T05:29:36","guid":{"rendered":"http:\/\/isico.info\/?page_id=3003"},"modified":"2021-08-06T09:29:58","modified_gmt":"2021-08-06T09:29:58","slug":"special-track","status":"publish","type":"page","link":"https:\/\/isico.info\/special-track\/","title":{"rendered":"Special Track"},"content":{"rendered":"\t\t
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Special Track<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Schedule : 7 August 2021 - 18:00-20:00 (WIB)<\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Process Science and Data Analytics <\/b><\/h1>

Information Systems International Conference (ISICO) 2021<\/b><\/h3>
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Description<\/strong><\/pre>
At the heart of every organization is interrelated activities to achieve a certain goal i.e., business processes. Business process management (BPM) has emerged as a discipline to manage and improve the organization\u2019s business processes. BPM has received interests from researchers across many disciplines including computer science, industrial engineering, and operation management. However, the focus of BPM to date has been the interplay between strategy, process, people, and technology within an organization.<\/p>
Today\u2019s advance technology has diminished the boundaries of physical and digital world and profoundly changed the way people, organization and society conduct their day today and business activities. At the same time, the change in our environment, emphasized even more by the COVID-19 global pandemic, has brought a hard signal for us to consider about our contribution to the society and the world that we live in, beyond the boundary of a single discipline. We need to bring together multidisciplinary efforts to contribute to the achievement of Sustainable Development Goals (SDG) by 2030.<\/p>
In a recent keynote speech by Prof. Jan Vom Brocke at Business Process Management Conference 2020, answered this call by coining the term Process Science that aims to find and implement new ways of doing things. This study of processes calls for involvement of researchers from application domains, ethics, organization science, cognitive science, built environment, and law to work with information systems and computer science researchers.<\/p>
This special track calls for researchers and experts from multidisciplinary areas related to process and data science to share the challenges, strategies, techniques, applications, and potential case studies. Topics are included but not limited to:<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Business Process Intelligence<\/h6>
  1. \u00a0Process mining techniques<\/li>
  2. Process Modeling<\/li>
  3. Model-driven engineering<\/li><\/ol>
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    Competitive Advantages of BPM<\/h6>
    1. Process innovation<\/li>
    2. Strategic Alignment<\/li>
    3. Process Governance<\/li>
    4. Information Technology<\/li>
    5. Human aspects and culture<\/li><\/ol>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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      Conceptual Modeling Issues of BPM Systems<\/h6>\n
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      1. Formal methods and algorithms<\/li>\n
      2. Concepts, languages, and architecture for BPM systems<\/li>\n
      3. Proof-of-concept implementations<\/li>\n<\/ol>\n
        Recent Advance Approaches of BPM<\/h6>\n
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        1. Artificial Intelligence<\/li>\n
        2. Internet-of-Things (IoT)<\/li>\n
        3. Cloud computing<\/li>\n
        4. Big data<\/li>\n
        5. Blockchain<\/li>\n
        6. Robotic Process Automation (RPA)<\/li>\n<\/ol>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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          Domain-Specific BPM<\/h6>
          1. Supply Chain Process<\/li>
          2. Exprience reports from BPM implementation within the Asia-Pasific Region<\/li>
          3. Case studies carry out within the Asia-Pasific Region (BPM in logistics, manufacturing,healthcare, and etc)<\/li><\/ol>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            Special Track Keynote Session<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            COGNITIVE DIAGRAM UNDERSTANDING AND TASK PERFORMANCE IN SYSTEMS ANALYSIS AND DESIGN<\/i><\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            Abstract<\/h2>
            Models play an important role in Systems Analysis and Design (SAD). A diagrammatic model is defined as a mapping from a domain to a visual representation in such a way that relevant information is preserved to meet a specific goal. So far, cognitive research on diagram criteria in relation to task performance has been fragmented. The aim of this talk is to (1) consolidate research on the cognitive processing steps involved during understanding and task performance with diagrams, (2) consolidate corresponding criteria for such diagrams to best support cognitive processing and (3) demonstrate the support effective diagrams provide for performing SAD tasks. Addressing the first aim, we develop a theoretical cognitive framework of task performance with diagrams called CogniDia. It integrates different cognitive theories from research on diagrams in software engineering and information systems. Regarding the second aim, we review the literature to organize criteria for effective cognitive processing of diagrams. We identify research gaps on verbal and task processing. Regarding the third aim, we use the theoretical cognitive framework to investigate how diagrams support the SAD process effectively. The paper corresponding to this talk is in press with Management Information Systems Quarterly, co-authored by Monika Malinova and Jan Mendling.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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            Keynote Speaker<\/h1>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            Prof. Dr. Jan Mendling<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            \nProf. Dr. Jan Mendling is the Einstein-Professor of Process Science with the Department of Computer Science at Humboldt-Universit\u00e4t zu Berlin, Germany. <\/span>On 1 April 2021, Prof. Mendling joined Humboldt University of Berlin's Department of Computer Science, generously supported by the Einstein Foundation Berlin.<\/span> His research interests include various topics in the area of business process management and information systems. He has published more than 450 research papers and articles, among others in Management Information Systems Quarterly, ACM Transactions on Software Engineering and Methodology, IEEE Transaction on Software Engineering, Journal of the Association of Information Systems and Decision Support Systems. \n<\/span><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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            He is a department editor for Business and Information Systems Engineering, member of the board of the Austrian Society for Process Management (http:\/\/prozesse.at), one of the founders of the Berlin BPM Community of Practice (http:\/\/www.bpmb.de), organizer of several academic events on process management, and a member of the IEEE Task Force on Process Mining. He co-authored the textbooks, Fundamentals of Business Process Management and Wirtschaftsinformatik, which are extensively used in information systems education.<\/span><\/h5>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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            Publications<\/h2>
            All accepted papers will be included in the conference proceedings by Procedia of Computer Science.For the accepted papers at least one must register in the conference and present . A selection of papers accepeted for and presented at this special track will be invited for special issue in Sustainbility, which is indexed by SCIE, SCOPES, EI\/Compendex, etc. https:\/\/www.mdpi.com\/journal\/sustainability\/special_issues\/Business_Process<\/a><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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            Important Dates<\/span><\/h2>\n