ADT2020: Architecting the Digital Transformation |
Submission link | https://easychair.org/conferences/?conf=adt2020 |
Abstract registration deadline | October 31, 2018 |
Submission deadline | July 30, 2019 |
Deadline: 2nd Review | September 30, 2019 |
Book Series: “Intelligent Systems Reference Library”.
Springer-Verlag, Germany
http://www.springer.com/series/8578
Dear colleague,
We invite for original chapter contributions of an edited high-quality Springer 2020 book on:
Architecting the Digital Transformation
Subtitle:
Digital Business, Technology, Decision Support, Management
Number of pages: 250
Chapters: up to 20 pages including all figures, models, and references
Editors: Alfred Zimmermann, Rainer Schmidt, Lakhmi C. Jain
Overview
We cordially invite chapter authors of contributions for the intended high-quality Springer book on Architecting the Digital Transformation with the subtitle Digital Business, Technology, Decision Support, Management, Applications. The digital transformation is the current dominant type of business transformation having IT both as a technology enabler and a strategic driver. Digitization profoundly changes our society and economy and thus the way we live, work, learn, communicate, collaborate, and decide. New business opportunities are currently arising using the potential of the Internet and related digital technologies, like the Internetof Things, services computing, cloud computing, big data with analytics, mobile systems, collaboration networks, andcyber-physicalsystems. Enterprises are transforming their strategy, culture, processes, and their information systems to become more digital. The digital transformation deeply disrupts existing enterprises and economies and sets the base for new digital services anddigitized products. Digitization fosters the development of IT environments with many rather small and distributed structures, like the Internetof Things. This has a strong impact on the process of architecting digital services and products, which includes both technological and business aspects. The change from a closed-world modeling perspective to more flexible open-world and living software and system architectures defines the moving context for adaptable, evolutionary, and resilient service-oriented software approaches, which are essential to enable the digital transformation of business, society, technologies, and information systems. The interaction of digitally integrated customers, products, andservices provides new ways of value creation. Digitization is the creation of digital architecture and the use of decision management for enabling innovative business models and transforming existing business models and processes. Our book – Architecting the Digital Transformation – covers fundamental and practical aspects to architect the digital transformation of products, services, andprocesses. This disruptive change interacts with all information processes and systems, which are important business enablers for digitization since years. Digital architectures enable the intense interaction with customers and products. The customer is closely integrated with business processes and interacts like a co-worker by using implicit touch points, which are provided by mobility and wearable systems and the Internet of Things. The data collected by these interactions allow automatingdecisions impacting the customer. Digitized products and services have dynamically extendable capabilities by accessing external services. Using them they are able to autonomously make decisions hitherto reserved forhuman beings. Decision Management considers decisions as first-class citizens in management equal to service and processes. It supervises and controls the identification, development, deployment, operation andoptimization of decisions and their components. Decision components may be data sources, decision models, anddecision foundation. By handling decisions separately from processes and services, decision management considers that decisions, processes, andservices, which evolve at different speeds. Furthermore, decision management increases reuse and consistency of decisions by enabling centralized repositories that provide intelligent decisions for services and processes.
Topics
The book topics outline tentative book chapters, although other relevant subjects may be applicable.
- Digital Business
- Digitization
- Digital Services and Products
- Digital Processes and Management
- Digital Strategies
- Digital Innovation
- Digital Business Models
- Enterprise Collaboration Platforms
- Digital Capabilities
- Technology
- Digital Enterprise Architecture
- Adaptive and Resiliency Architecture
- Service Computing
- Cloud, Edge, and Fog Computing
- Internet of Things
- Big Data Analytics
- Artificial Intelligence (Semantic Support and Deep Learning)
- Platforms and Ecosystems
- Blockchain Architecture
- Cyber Security Architecture
- Container Orchestration Architecture
- Decision Support
- Decision Methodologiesand Processes
- Decision Dashboards and Automation
- Decision Models
- Decisions Making and Implementation
- Explanations and Learning Support
- Stakeholder and Role Models
- Management
- Digital Governance
- Digital Instruments and Management
- Digital Management Processes
- Digital Transformation
- Consulting for Digitization
- Digital Applications
- Science, Research, andInnovation
- Engineering and Development
- Industrial Manufacturing
- Marketing and Sales
- Digital Mobility and Automotive
- Electronics & Computers
- Retail and Logistics
- Banking
- Medicine
- Universities
- Energy
- Smart Cities and Smart Homes
- Administration and Politics
BACKGROUND TOPICS
All chapters should consider innovative positions from theory and practical applications of the topic through clear research positions, elaborated concepts, case studies, experiments, empirical validation, or systematic comparisons from related work, as well as allow further approaches for practice. The book intends to discuss systematic and disciplined approaches to architecting the digital transformation, dissemination of the state-of-the-art methods, and for models and techniques for representing and evaluating these approaches.
FORMAT
Chapters of up to 20 pages are expected that synthesize existing knowledge on relevant background topics and application areas in architecting the digital transformation. Chapters should be accessible for researchers including graduate students as well as for practitioners and managers. Our aim is to provide a platform for researchers and practitioners to discuss both technologicaland business aspects of the digital transformation and to have a deep look into the flexible digital architecture and decision management mechanisms in the context of technologies, platforms, services, and applications by fostering customer experience with disruptive transformation and continuous improvement.
PROCEDURE
Please submit your chapter including your first abstract in PDF format to:
https://easychair.org/conferences/?conf=adt2020
Chapters will be peer-reviewed by 3 reviewers. The authors participating in this publishing project will also be asked to review chapters by other contributors.
We recommend using Word from the verybeginningsince the sources for the final manuscript are required to be in Word. Please refer to Manuscript Guidelines at https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636for the book series “Intelligent Systems Reference Library” http://www.springer.com/series/8578
You are expected to collaborate on the finalediting of your chapter by Publisher’s editorial project manager.
IMPORTANT DATES
Call for Chapters: August 2018
Abstracts (Chapter Proposal up to 0,5 page): 30 October 2018
Chapters due: 28 February 2019
Firstround of reviews: 1 March – 30 April 2019
Revisions: 1 May - 30 July 2019
Secondround of reviews: 1 August – 30 September 2019
Final version due: 10 January 2020
Complete manuscript due: 28 February 2020
Expected publication: Summer 2020
AUTHORS OF CHAPTERS
Name, Affiliation, Postal Address, Email
Alfred Zimmermann, Reutlingen University, Germany
Alfred Zimmermann is Professor of Computer Science, Research Group Digital Enterprise Architecture, at Reutlingen University, Germany and Director of the Doctoral Program for Services Computing, at Herman Hollerith Center Boeblingen, Germany. His research is focused on digital transformation and digital enterprise architecture in close relationship with software architecture, service computing,andcloud computing. He graduated in Medical Informatics at the University of Heidelberg, Germany and obtained his Ph.D. in Computer Science / Informatics from the University of Stuttgart, Germany. He serves ineditorial boards and publishes results from his research at conferences, workshops, and in books and journals. Additionally, he supports industrial cooperation research projects.
Rainer Schmidt, Munich University of Applied Sciences, Germany
Rainer Schmidt is a Professor of Business Information Systems at Munich University of Applied Sciences. He has a Ph.D. and an engineering degree in Computer Science. His current research areas include service science, enterprise computing, business process management, social software, business/ISalignment and the integration of these themes. He has industrial experience as a management consultant and researcher. Rainer Schmidt is co-organizer of the BPMDS working conference at CAISE, the Social Information Systems Mini-Track at HICSS, the BPMS2 workshop series at BPM, and the IDEA and SoEA4EE workshop series and a member of the program committee of several workshops and conferences. Rainer Schmidt is serving on the editorial boards of International Journal of Information Systems in the Service Sector and International Journal on Advances in Internet Technology. Rainer Schmidt applies his research in a number of projects and cooperation with industry.
Lakhmi C. Jain, University of Canberra, Australia
Lakhmi C. Jain, PhD, ME, BE(Hons), Fellow (Engineers Australia) is with the Faculty of Education, Science, Technology & Mathematics at the University of Canberra, Australia and Bournemouth University, UK. Professor Jain founded the KES Internationalfor providing a professional community the opportunities for publications, knowledge exchange, cooperation and teaming. Involving around 5,000 researchers drawn from universities and companies world-wide, KES facilitates international cooperation and generate synergy in teaching and research. KES regularly provides networking opportunities for professionalcommunity through one of the largest conferences of its kind in the area of KES. www.kesinternational.org His interests focus on the artificial intelligence paradigms and their applications in complex systems, security, e-education, e-healthcare, unmanned air vehicles and intelligent agents.