Intelligent Process Automation and Business Continuity: Areas for Future Research
Abstract
:1. Introduction
2. Background
2.1. Business Continuity Management
2.2. Robotic Process Automation and Intelligent Process Automation
2.3. Interlinking Intelligent Process Automation with Business Continuity
3. Research Methodology
3.1. Methods
3.1.1. Data Source and Searches
- IEEE Xplore Digital Library (https://ieeexplore.ieee.org/Xplore/home.jsp (accessed on 14 June 2021));
- ACM (https://dl.acm.org (accessed on 1 July 2021)).
- SpringerLink (https://link.springer.com (accessed on 5 September 2021))
- Scopus (https://www.scopus.com/home.uri (accessed on 11 November 2021))
- Web of Science (https://www.webofscience.com/wos/woscc/basic-search (accessed on 2 December 2021))
- EBSCO (http://search.ebscohost.com/ (accessed on 27 December 2021))
- Google Search (https://www.google.com/ (accessed on 22 August 2021))
3.1.2. Eligibility Criteria
3.1.3. Study Selection
4. Multivocal Literature Review
- Identify the most important areas for future research on incorporating RPA/IPA into BC;
- Outline the definition of objectives for the research;
- Prepare future surveys and interviews to evaluate the results found, and compare the objectives and the actual observed results from the use of existing projects;
- Communicate the challenges and opportunities found, the results achieved, and their usefulness for other researchers and professionals (BC practitioners and the RPA/IPA community).
- Determining the need for an MLR for the given topic;
- Defining the MLR goal and setting up the research questions.
- Search process and selection: identification of primary studies to address the research question, application of standard comprehensive search techniques by means of defined search strings, and definition of the selection criteria for performing the selection process;
- Study quality: assessment of sources to determine the extent to which a source is valid and free from bias;
- Design of data extraction: creation of forms to gather all the information needed to address the review question and the study quality criteria;
- Data extraction: extraction of the data items needed to answer the research questions;
- Data synthesis: synthesis of data in such a way that the question(s) can be answered.
5. Planning the MLR
Motivation
6. Conducting the MLR
7. Reporting the MLR
7.1. Research Areas to Investigate
7.1.1. Governance/Risk/Compliance
Types of Governance
Audit Plans
Internal Policies
Types of Risks
Risk Assessment/Management
Monitoring Solutions
7.1.2. People/Processes/Technology
Emerging Technologies
Change Management
Guidelines
Capacity to Support and Ensure BC
7.1.3. Business Continuity
Resilience-Driven Solutions
- The transformation of manual financial services processes (banking/insurance), to respond to changes in market dynamics with greater flexibility, effective communication and confidence;
- Optimizing resource management using automation and predictive analytics to determine where technicians and maintenance personnel should be deployed;
- Enabling rapid business DT with adaptable and resilient business models to enhance relationships with customers, and ensure they benefit from greater value in the process outsourcing services provided, through deeper collaboration and co-innovation [51,85,100,194,262,268,269,279,280,295,306,307,310,314,326,327,328,329,330,331,332,333,334,335,336].
Governance of New Digital/Technological Threats and Their Impacts
Disruption Avoidance
7.2. Findings
8. Conclusions
- Which threats and impacts organizations may expect when incorporating RPA/IPA into businesses;
- Mapping risks emerging from the use of RPA/IPA and finding ways to mitigate them;
- Resilience-driven solutions for dealing with known threats and impacts, in particular those emerging from the use of RPA/IPA;
- The new capabilities associated with RPA/IPA that are more useful in terms of supporting and ensuring BC;
- Ways to incorporate governance measures to deal with new RPA/IPA threats and impacts and avoid disruption;
- Correlation of all the identified topics with BC and RPA or IPA, in order to find solutions that can mitigate possible risks, while at the same time taking advantage of their benefits;
- ICT support for all the innovative and complex systems used in this new digital age. Greater digitization, automation, interconnectivity, and also their interdependency, amplify ICT risks, making society as a whole—and the financial system in particular—more vulnerable to cyber threats or ICT disruptions. Although the universal use of ICT systems and the high level of digitization, automation and connectivity (where RPA/IPA is included) are currently essential features of all global activities, digital resilience is still not sufficiently integrated into the operational frameworks of organizations, and there is therefore a need for research into how to evolve in this area [106,162].
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Inclusion Criteria | Exclusion Criteria |
---|---|
Related to main keywords | Not related to RPA, IA or IPA or business continuity |
Process automation or business continuity | Paper not in English |
Title, abstract, key contents or subject relevance | Documents with publication date earlier than 2017 |
Journals, conference papers, blogs or grey literature | Vendor tool advertisements |
Documents in English | Papers by unidentified authors |
Limit results to first 12 pages of Google Search | No publication date |
“White” Literature | “Grey” Literature | “Black” or Other Types of Literature (Excluded) |
---|---|---|
Papers published in journals Conference proceedings Books | Preprints e-Prints Lectures Datasets Government documents Standards White papers Technical reports Blogs Audio-video media | Ideas Concepts Thoughts |
Key Areas/Subjects for Investigation | Count * | |
---|---|---|
Governance | Types (e-governance/corporate/non-corporate/etc.) | 26 |
Audit | 18 | |
Policies | 13 | |
Monitoring tools (KPI/Risks) | 12 | |
Strategic management | 11 | |
Productivity | 6 | |
Efficiency gains | 4 | |
Risk | Types (avoidance/cyber/digital/financial/environmental/monitoring/organizational/operational/profiling/health and safety/intellectual property protection) | 71 |
Risk assessment/management | 33 | |
Cybersecurity | 29 | |
Security (assessment/data/mindset/management) | 14 | |
Privacy and security | 6 | |
Enterprise risk management | 5 | |
Security orchestration research and practice | 2 | |
Compliance | Monitoring | 25 |
Regulatory | 25 | |
Controls | 17 | |
Regulatory framework | 8 |
Key Areas/Subjects for Investigation | Count * | |
---|---|---|
People | Capabilities to support and ensure BC | 69 |
Knowledge work/acquisition/management | 16 | |
Human-in-the-loop | 10 | |
Processes | Change management | 23 |
Framework (conceptual/risk/control) | 23 | |
Guidelines | 15 | |
Legislation | 8 | |
Workflows (composition and system) | 8 | |
Standards (create/implement) | 7 | |
Building responding processes and guidelines | 7 | |
Tools/technology/skills | 4 | |
Security orchestration research and practice | 2 | |
Technology | Emerging technologies (types/impacts) | 53 |
Regulatory | 8 | |
Regulatory framework | 3 |
Key Areas/Subjects for Investigation | Count * | |
---|---|---|
Business Continuity | Resilience-driven solutions | 64 |
Governance of new digital/technological threats and impacts | 47 | |
Disruption avoidance | 33 | |
Preparing just-in-case scenarios | 8 | |
Rapid response/recovery protocols | 7 |
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Brás, J.; Pereira, R.; Moro, S. Intelligent Process Automation and Business Continuity: Areas for Future Research. Information 2023, 14, 122. https://doi.org/10.3390/info14020122
Brás J, Pereira R, Moro S. Intelligent Process Automation and Business Continuity: Areas for Future Research. Information. 2023; 14(2):122. https://doi.org/10.3390/info14020122
Chicago/Turabian StyleBrás, José, Ruben Pereira, and Sérgio Moro. 2023. "Intelligent Process Automation and Business Continuity: Areas for Future Research" Information 14, no. 2: 122. https://doi.org/10.3390/info14020122