Proposed Framework for Managing Customer Queries in Banking sector using Robotic Process Automation DOI
Shveta Yadav, Vivek Bhardwaj, Ateeq Ur Rehman

и другие.

Опубликована: Фев. 5, 2023

Robotic Process Automation (RPA) is a repetitive process automation methodology working on top of all the already defined systems present in any organization [1] [2]. The RPA technology mimics humans by with multiple user interfaces and applications. It increases efficiency integrating existing able them to work as system. use case being widely explored across different business processes, including processing employees' payments, hiring inventory management, etc. industries such FMCG, outsourcing, healthcare much more. But application lagging behind Customer Query Management automated Banking sector. importance customer query management banking sector for satisfaction studied. This study proposes framework managing queries using developing layer which works but will integrate into whole

Язык: Английский

Proposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance DOI Creative Commons
Leonel Patrício, Leonilde Varela, Zilda de Castro Silveira

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(2), С. 854 - 854

Опубликована: Янв. 16, 2025

This paper proposes a sustainable model for integrating robotic process automation (RPA) and machine learning (ML) in predictive maintenance to enhance operational efficiency failure prediction accuracy. The research identified key gap the literature, namely limited integration of RPA, ML, sustainability manufacturing, which led development this model. Using PICO methodology (Population, Intervention, Comparison, Outcome), study evaluated implementation these technologies Alpha Company, comparing results before after model’s adoption. intervention integrated RPA ML improve accuracy optimize operations. Results showed 100% increase mean time between failures (MTBF), 67% reduction repair (MTTR), 37.5% decrease costs, 71.4% unplanned downtime costs. Challenges such as initial costs need continuous training were also noted. Future could explore big data AI further demonstrates that leads improvements, cost reductions, environmental benefits, contributing industrial

Язык: Английский

Процитировано

2

A method for selecting processes for automation with AHP and TOPSIS DOI Creative Commons
Diogo António da Silva Costa, Henrique São Mamede, Miguel Mira da Silva

и другие.

Heliyon, Год журнала: 2023, Номер 9(3), С. e13683 - e13683

Опубликована: Фев. 14, 2023

Organizations are more frequently turning towards robotic process automation (RPA) as a solution for employees to focus on higher complexity and valuable tasks while delegating routine, monotonous rule-based their digital colleagues. These software robots can handle various rule-based, digital, repetitive tasks. However, currently available identification methods must be qualified select suitable processes accurately. Wrong selection failed attempts often the origin of automation's bad reputation within organizations result in avoidance this technology. As result, research, method selecting combining two multi-criteria decision-making techniques, 'Analytic Hierarchy Process (AHP) Technique Order Preference by Similarity Ideal Solution (TOPSIS), will proposed, demonstrated, evaluated. This study follows Design Science Research Methodology (DSRM) applies proposed real-life scenario. The support proper business automation, increasing success implementing RPA tools an organization.

Язык: Английский

Процитировано

29

Robotic process automation: bibliometric reflection and future opportunities DOI
Dahlia Fernandez, Omkar Dastane, Hafizah Omar Zaki

и другие.

European Journal of Innovation Management, Год журнала: 2023, Номер 27(2), С. 692 - 712

Опубликована: Май 11, 2023

Purpose Robotic Process Automation (RPA) is a digital transformation tool that demonstrated tremendous growth in research output as well its application the past decade. This study attempts to identify essential gaps and proposes future agendas field by analyzing publishing trends, major stakeholders (authors, countries, affiliations, journals), key clusters evolving themes mapping most recent (2016–2022) field. Design/methodology/approach Preferred Reporting Items for Systematic Review Meta-Analysis (PRISMA) was used retrieve total of 244 publications from Web Science (WOS) database this analysis. The then uses open-source R program bibliometrix conduct bibliometric A variety tools methods including collaboration network, word dynamics, co-occurrence thematic map strategy were utilized. Findings analysis reveals influential (country: USA, author: Arai K, affiliation: Christ Deemed University), main intellectual structure (process mining, transformation, blockchain, information systems) evolution (model innovation, artificial intelligence, big-data, design science user acceptance) subject. Originality/value provide comprehensive overview RPA literature which unravels conceptual stream agenda future. Based on map, may assist entrepreneurs practitioners determining priorities strategizing process innovation.

Язык: Английский

Процитировано

28

Towards Intelligent Automation (IA): Literature Review on the Evolution of Robotic Process Automation (RPA), its Challenges, and Future Trends DOI Creative Commons
Julia Siderska, Lili Aunimo, Thomas Süße

и другие.

Engineering Management in Production and Services, Год журнала: 2023, Номер 15(4), С. 90 - 103

Опубликована: Дек. 1, 2023

Abstract Robotic Process Automation (RPA) and Artificial Intelligence (AI) integration offer great potential for the future of corporate automation increased productivity. RPA rapidly evolves into Intelligent (IPA) by incorporating advanced technologies capabilities beyond simple task automation. The paper aims to identify organisational, technological, human-centred challenges that companies face in transitioning from IPA. research process involved conducting scientific literature search using ResearchRabbit AI tool, which provided a set reference papers relevant formulated questions. As result conducted review, authors identified key possible countermeasures resulting collection articles formed basis this study’s content substantive analysis. Furthermore, study contributes identifying artificial intelligence techniques algorithms, such as Natural Language Processing (NLP), Machine Learning (ML), Deep (DL), predictive analytics, others, can be integrated with facilitate transition also offers insights areas.

Язык: Английский

Процитировано

17

Integration of Artificial Intelligence and Robotic Process Automation: Literature Review and Proposal for a Sustainable Model DOI Creative Commons
Leonel Patrício, Leonilde Varela, Zilda de Castro Silveira

и другие.

Applied Sciences, Год журнала: 2024, Номер 14(21), С. 9648 - 9648

Опубликована: Окт. 22, 2024

This article investigates the growing integration between Artificial Intelligence (AI) and Robotic Process Automation (RPA), proposing an innovative model aimed at optimizing operational efficiency of organizations balancing social environmental impacts arising from use these technologies. The research identifies a significant gap in literature through systematic review, revealing need for greater attention to implementation AI RPA. Employing approach based on PICO methodology (Population, Intervention, Comparison, Outcome), this study justifies formulation hypotheses choice methodology, ensuring scientific rigor. proposed considers ethical issues such as privacy cybersecurity explores challenges associated with adoption innovations. discussion includes readiness integrate technologies, highlighting technical cultural limitations that may influence model’s effectiveness. theoretical results suggest careful can optimize resource utilization, promoting balance responsibility. Furthermore, presents analysis positive impacts, improved efficiency, negative fear job displacement RPA, reinforcing responsible fosters sustainability digital age.

Язык: Английский

Процитировано

6

Robotic process automation and artificial intelligence capabilities driving digital strategy: a resource-based view DOI
Osvaldo Braz dos Santos Moderno, Antonio Carlos Braz, Paulo Tromboni de Souza Nascimento

и другие.

Business Process Management Journal, Год журнала: 2023, Номер 30(1), С. 105 - 134

Опубликована: Ноя. 11, 2023

Purpose Research of currently limited literature sees Robotic Process Automation (RPA) as an important tool at the tactical level. However, has not considered its potential contribution to creating competitive advantages. This paper aims link RPA and Resource-based view (RBV) literature, proposing a conceptual framework boosting research part organizational AI strategy. Design/methodology/approach study applied Systematic Literature Review (SRL), combining bibliometrics content analysis. also built new based on updated RBV model that was transformed review results. Findings By bridging two bodies RPA, this manages show strategic side technology. Therefore, brought light most fundamental concepts complementarity scale-free fungible resources from theory technologies, domains information systems technology (IS/IT) through development theoretical lens. Also, able elaborate for strategy formulation help organizations their journey utilization. Originality/value The authors did find any shown nor used lens side. To best author’s knowledge, seems be first make case RPA's potential.

Язык: Английский

Процитировано

15

A robotic process automation model for order-handling optimization in supply chain management DOI Creative Commons
Ahm Shamsuzzoha,

Sini Pelkonen

Supply Chain Analytics, Год журнала: 2025, Номер unknown, С. 100102 - 100102

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

The New Automation DOI
Victor Nduna

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 273 - 304

Опубликована: Апрель 4, 2025

Artificial Intelligence (AI) is transforming how records and archives are acquired, processed, distributed. This has a profound impact on the future of theory, methodologies, practices, scholarship. The chapter uses ECM vendors' rhetoric to predict AI discipline. juxtaposes AI, automation, ECM, illustrate complex relationships that exist between discipline other disciplines expose multidisciplinary issues affecting in digital age. In so doing, highlights role intelligent automation reshaping discourse provokes debate automation. essential for systematic integration into work. Records practitioners scholars seeking understand intersection will find useful.

Язык: Английский

Процитировано

0

Employees’ attitudes towards implementing robotic process automation technology at service companies DOI Creative Commons
Julia Siderska,

Moh’d Alsqour,

Sameh Alsaqoor

и другие.

Human Technology, Год журнала: 2023, Номер 19(1), С. 23 - 40

Опубликована: Май 22, 2023

Robotic Process Automation (RPA) technology emerged as an innovative solution that supports the maintenance of operational processes and ensures business continuity, especially during coronavirus pandemic. A survey was conducted for purposes this study. The main objective to identify employees’ attitudes towards RPA implementation in Polish service companies. related their involvement design solutions awareness fact performing repetitive tasks is inefficient were scored highest. surveyed managers opinion employees waste time because they are occupied rewriting data between systems instead developing company, so should be transferred doing more complex value-added work. Moreover, involved statistical analyses also considered correlations determinants adoption.

Язык: Английский

Процитировано

12

Robotic process automation using process mining — A systematic literature review DOI
Najah Mary El-Gharib, Daniel Amyot

Data & Knowledge Engineering, Год журнала: 2023, Номер 148, С. 102229 - 102229

Опубликована: Сен. 23, 2023

Язык: Английский

Процитировано

11