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Submit a Manuscript to the Journal
Enterprise Information Systems

For a Special Issue on
Hyperautomation: Methodologies, Interactivity and Applications

Manuscript deadline
31 August 2022

Cover image - Enterprise Information Systems

Special Issue Editor(s)

Mu-Yen Chen, Department of Engineering Science, National Cheng Kung University, Taiwan
[email protected]

Patrick C. K. Hung, Faculty of Business and Information Technology, Ontario Tech University, Canada
[email protected]

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Hyperautomation: Methodologies, Interactivity and Applications

The concept of 'hyperautomation' means automation of production and workflow in an organization, implying that equipment does not rely on software packages to operate or enterprises do not set fixed automatic processes passively to run equipment by set procedures. Hyperautomation primarily makes Robotic Process Automation (RPA) perceive, think, and respond 'proactively' with Artificial Intelligence (AI) capacity instead of merely following specific rules and instructions to act. Apart from executing automatic procedures, hyperautomation can be extended to automatic correction, the discovery of workflow, analysis, procedure design, and the intelligent automation of measurement and surveillance. Many procedures rely on repeated works manually to connect between computers and information systems in today's enterprise operation. When introducing the concept of hyperautomation, enterprises can leverage several internal repeated works to build an intelligent digital workforce through hyperautomation. For example, the hyperautomation of financial procedures can allocate journal entries to the general ledger account and transfer them into diverse financial statements, enhancing business effectiveness. Digital labour is a changing medium in hyperautomation, allowing data analytic decision-making and exploring processes and new automatic opportunities through Application Programming Interface (API) or tools.

Hyperautomation primarily utilizes RPA to cascade with those old automatic systems in an organization, executing workflow automation by intelligent business process management suites after achieving task automation. Next, use AI technique to build a Digital Twin of an Organization (DTO), which can simulate business performance by physically obtaining enterprise's data, producing relevant information for operation references, and redesigning new processes. For example, Hyperautomation can apply to the marketing, service, and payment process surveillance in the bancassurance industry; in retail, hyperautomation can conduct DTO simulation in order management, payment, transportation, and relevant sectors to develop the optimal automation in each task. Hyperautomation requires RPA to achieve automation goals, utilizing various AI tools to do different business simulations. This special issue mainly discusses how hyperautomation performs in different industries (financial sector or criminology) and explores how hyperautomation selects AI modules or APIs to do DTO simulation. Hyperautomation can simulate various business performances in an organization; however, one may consider whether it has considered every business norm and the privacy protection between processes in defining a new business procedure or not. This special issue explores hyperautomation algorithms or new technical frameworks, further creating opportunities to drive business.

Given hyperautomation's importance and rich applications, it is a very worthwhile research topic. Our proposed goal is to address more than just hyperautomation algorithms for this special issue. We hope to explore hyperautomation applications and researches in more areas of study and see how hyperautomation models can take a vast amount of available data and help uncover undiscovered phenomena, retrieve useful knowledge, and draw conclusions and reasoning. This special issue will encourage scholars and technical professionals across different disciplines to propose new hyperautomation frameworks, innovative approaches, and novel applications. Topics appropriate for this special issue include, but are not necessarily limited to:

  • Theoretical models, architecture, protocols and frameworks for the Hyperautomation
  • Knowledge representation for the Hyperautomation
  • Planning and control in robotics and automation for the Hyperautomation
  • Industry 4.0 for the Hyperautomation
  • Business Process Re-engineering (BPR) for the Hyperautomation
  • Open issues and trends in the Hyperautomation
  • FinTech Applications for the Hyperautomation
  • Smart healthcare for the Hyperautomation
  • Smart service business models for the Hyperautomation
  • Formal methods for resource management in Enterprise, Political and Economic systems associated with the Hyperautomation

Submission Instructions

Important dates

  •   Submission due: 31 Aug 2022
  •   Notification of final acceptance: Dec 2022
  •   Final papers: Jan 2023
  •   Publication date: TBC


Submissions to the special issue will be screened by the Special Issue Editors to insure that they conform to the quality standards of Enterprise Information Systems. Papers that do not pass this initial screening will be immediately returned to the authors. Reviewers will apply those standards in forming recommendations for acceptance, revision, or rejection. A maximum of two revisions will be invited. Papers should be formatted in the Enterprise Information Systems style. The prospective contributors should submit their papers directly to the online submission system, which can be accessed via the journal homepage.

In addition, please choose the Special Issue (Hyperautomation: Methodologies, Interactivity and Applications) when prompted to do so during the submission process.

Instructions for AuthorsSubmit an Article

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