Advancing Enterprise Modelling through Digital Transformation, FAIR Data Management, and Blockchain Integration

Table of contents
  1. Abstract
  2. Purpose
  3. Workshop Topics:
  4. Workshop chairs
  5. PC members (to be completed):
  6. Submissions

Abstract

This workshop examines cutting-edge methods in enterprise modeling, concentrating on digital
transformation, FAIR data management, and blockchain integration. The workshop participants will
engage in conversations and activities to improve their knowledge of these essential notions and their
applications, such as when to do the best practices of enterprise modeling better with the assisting of
novel strategies along with tools like FAIR principles of data management and also with the privacy
perspectives of these enterprise applications using blockchains. By exploring the convergence of these
issues, this exciting workshop seeks to equip attendees with actionable understanding and processes
to push innovation and efficiency in enterprise environments. Join us to delve into the destiny of
enterprise modeling and its functional implications for your organization.

Purpose

Due to the hype going on currently, this workshop aspires to furnish an exhaustive understanding of
cutting-edge ideas in enterprise modeling, concentrating on the practical application of digital
transformation, FAIR regulations for data management, and blockchain technologies. With these state-of-the-art technologies, the extensive and overarching domain of enterprise modeling could be realized much better for separate companies to see the future of entire modeling with the rapidly disrupting era of constant evaluations. Following the described purposes, with this workshop, we plan to provide attendees with the proficiency and tools to execute these ideas within their organizations, ultimately pushing greater efficiency, translucency, and innovation.

Workshop Topics:

This workshop welcomes contributions related but not limited to the following topics:

  • Digital Transformation:
    • Key drivers and components of digital transformation in terms of blockchains such asin enterprise modelling.
    • Strategies for integrating digital and distributed ledger technologies into enterprise processes.
    • Evaluating the impact of digital transformation on organizational performance while implementing blockchains in their existing business processes.
  • FAIR Principles and Data Management:
    • Understanding the FAIR (Findable, Accessible, Interoperable, Reusable) principles. With blockchain technologies such as public private, and consortium blockchain.
    • Best practices for implementing FAIR data management within enterprises.
    • Tools and technologies supporting FAIR data initiatives.
  • Blockchain Technologies Integration:
    • Basics of blockchain technology and its relevance to enterprise modelling.
    • Use cases for blockchain in enhancing data security and transparency.
    • Exploring the challenges and opportunities of blockchain adoption in enterprises.

Workshop chairs

1. Professor Markus Helfert:

Markus Helfert is a Professor in Digital Service Innovation at Maynooth University, Innovation
Value Institute (Ireland), and the Director of the Business Informatics Group at Maynooth
University. He is a Principle Investigator at Lero – The Irish Software Research Centre and the
Adapt Research Centre. His research is centered on Digital Service Innovation, Smart Cities, and
IoT based Smart Environments and includes research areas such as Service Innovation, Intelligent
Transportation Systems, Smart Services, Building Information Management, FinTech, Data Value,
Enterprise Architecture, Technology Adoption, Analytics, and Business Process Management. Prof.
Helfert is an expert in Data Governance Standards and is involved in European Standardisation
initiatives. Markus Helfert has authored more than 200+ academic articles, journal and book
contributions, and has presented his work at international conferences. Helfert has received
national and international grants from agencies such as the European Union (FP7; H2020), Science
Foundation Ireland, and Enterprise Ireland, was the project coordinator on EU projects, and is the
Project coordinator of the H2020 Projects: PERFORM on Digital Retail.
Affiliation: Innovative Value Institute, Maynooth University,
Maynooth, Ireland, markus.helfert@mu.ie

2. Dr. Mansoor Ahmed

Mansoor has completed my MS & PhD in Computer Science from Vienna University of Technology,
Vienna, Austria. Currently, I am working as a Research Fellow at ADAPT Centre / IVI, Maynooth
University, and working on a funded research project in collaboration with META. Previously,
Mansoor worked as Marie-Currie / ELITE-S fellow at ADAPT Centre / IVI, Maynooth University.
Besides this, Mansoor is a member of standard bodies “ISO/IEC JTC 1/SC 40 “, “NSAI/TC 2/SC 16 “
and CEN standard on digital health innovation.
Affiliation: Innovative Value Institute, Maynooth University, Maynooth,
Ireland, mansoor.ahmed@mu.ie

3. Dr. Shahid Hussain

Shahid Hussain holds a Ph.D. in Computer Science from the City University of Hong Kong, while
MS (Software Engineering) from the City University of Science and Information Technology,
Peshawar, Pakistan, and MSc (Computer Science) from Gomal University, DIK, Pakistan. Shahid is
currently working as an Assistant Professor at the Computer Science and Software Engineering
Department, School of Engineering, Penn State University Behrend, Erie, PA, USA. Before Joining
PSU, Shahid worked as a Pro temp (NTTF) at the Computer and Information Science Department,
University of Oregon, Eugene, Oregon, USA. Shahid’s current research focus is to explore the
software engineering practices for High-Performance Computing (HPC) software packages and
applications to improve their process and benchmark their quality levels, automate the document
generation for open-source software, and explore the implications of Machine learning, Artificial
Intelligence (AI), Big data analysis and soft computing technique in analysis and design of
softwares.
Affiliation: School of Computer Science and Software Engineering, Penn State University,
USA, sjh6561@psu.edu

PC members (to be completed):

  • Wen-Li Wang, Department of Computer Science and Software Engineering, Penn State University, Behrend, USA
  • Jie Zhao, Department of Computer Science and Software Engineering, Penn State University,
    Behrend, USA
  • Naseem Ibrahim, Department of Computer Science and Software Engineering, Penn State University, Behrend, USA
  • Khubaib Amjad Alam, FAST-NUCES, Islamabad, Pakistan
  • Irum Inayat, FAST-NUCES, Islamabad, Pakistan
  • Abdul Mateen, Yeungnam University, South Korea
  • Ghulam Mudassir, University of L’ Aquila, Italy
  • Boyana Norris, University of Oregon, USA
  • Chong Chun Young, Monash University, Australia
  • Radhakrishna Bhat, Manipal Institute of Technology, Manipal, Karnataka, India

Submissions

Submission page on EasyChair: https://easychair.org/conferences/?conf=poem2024