Toward robotic process automation implementation: an end-to-end perspective

Santos, Filipa; Pereira, Rúben; Vasconcelos, José Braga de

doi:10.1108/bpmj-12-2018-0380

Cited by 98 publications

(109 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This technology is only suited for rule-based processes because it is executed by a robot without cognitive skills. Moreover, processes containing many exceptions should be handled by workers (Santos et al, 2019). It should also be emphasised that such processes must be firstly identified, standardised and optimised.…”

Section: Literature Reviewmentioning

confidence: 99%

Robotic Process Automation — a driver of digital transformation?

Siderska

2020

Engineering Management in Production and Services

View full text Add to dashboard Cite

The paper introduces Robotic Process Automation (RPA), which is an emerging and cutting-edge conception of business processes automation, based on the notion of software robots or artificial intelligence workers. The paper is conceptual as it discusses the fundamentals behind this idea, synthesises the knowledge of technology, and presents it in a new context. It is based on the author's considerations and the literature review, which contributes to the insight into the basic understanding of RPA technology as well as systematises and clarifies RPA definitions, identifies market trends, formulates a set of predictions for further development of this technology, and highlights directions for future inquiry. Additionally, logical arguments are proposed for considering RPA as a technology that enables and advances digital transformation. Moreover, criteria are indicated for business processes suitable for RPA. Nowadays, the robotisation of business processes a s innovative technology is more often practically implemented than it is investigated by research. Published papers outline real examples of implemented cases of RPA technology in organisations that mainly represent service industries. These case studies allow identifying possible advantages and risks derived from RPA implementation. Recent studies also report benefits of the RPA application in terms of productivity, costs, service quality, and error reduction. Some authors propose the criteria for selecting processes suitable for automation and robotisation. This paper constitutes a foundation for new research aimed at filling knowledge gaps in this area. Responding to the call by van der Aalst, academic discourse on RPA must be initiated.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Robotic Process Automation — a driver of digital transformation?

Siderska

2020

Engineering Management in Production and Services

View full text Add to dashboard Cite

show abstract

“…Robots are replacing employees in many tasks (Huang and Rust 2018;Hofmann et al 2020). Indeed, sales of service robots for professional and personal use are growing at annual rates greater than 30% (International Federation of Robotics 2018).…”

Section: Introductionmentioning

confidence: 99%

Frontline robots in tourism and hospitality: service enhancement or cost reduction?

2020

View full text Add to dashboard Cite

Robots are being implemented in many frontline services, from waiter robots in restaurants to robotic concierges in hotels. A growing number of firms in hospitality and tourism industries introduce service robots to reduce their operational costs and to provide customers with enhanced services (e.g. greater convenience). In turn, customers may consider that such a disruptive innovation is altering the established conditions of the service-provider relationship. Based on attribution theory, this research explores how customers' attributions about the firm motivations to implement service robots (i.e. cost reduction and service enhancement) are affecting customers' intentions to use and recommend this innovation. Following previous research on robot's acceptance, our research framework analyzes how these attributions may be shaped by customers' perceptions of robot's humanlikeness and their affinity with the robot. Structural equation modelling is used to analyze data collected from 517 customers evaluating service robots in the hospitality industry; results show that attributions mediate the relationships between affinity toward the robot and customer behavioral intentions to use and recommend service robots. Specifically, customer's affinity toward the service robot positively affects service improvement attribution, which in turn has a positive influence on customer behavioral intentions. In contrast, affinity negatively affects cost reduction attribution, which in turn has a negative effect on behavioral intentions. Finally, human-likeness has a positive influence on affinity. This research provides practitioners with empirical evidence and guidance about the introduction of service robots and its relational implications in hospitality and tourism industries. Theoretical advances and future research avenues are also discussed.

show abstract

“…Automated software robots [103]: RPA allows the organizations to automate the highly redundant and rulebased tasks at a small amount of the earlier incurred price and time. It is scalable.…”

Section: B Robotics Process Automationmentioning

confidence: 99%

“…Process automation workflow is defined in this step. 3) Developing a bot controller [103], [118] : Automated processes are pushed to a bot controller. The bot controller is the most important step of any RPA workflow.…”

Section: B Robotics Process Automationmentioning

confidence: 99%

See 1 more Smart Citation

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

et al. 2021

View full text Add to dashboard Cite

The unstructured data impacts 95% of the organizations and costs them millions of dollars annually. If managed well, it can significantly improve business productivity. The traditional information extraction techniques are limited in their functionality, but AI-based techniques can provide a better solution. A thorough investigation of AI-based techniques for automatic information extraction from unstructured documents is missing in the literature. The purpose of this Systematic Literature Review (SLR) is to recognize, and analyze research on the techniques used for automatic information extraction from unstructured documents and to provide directions for future research. The SLR guidelines proposed by Kitchenham and Charters were adhered to conduct a literature search on various databases between 2010 and 2020. We found that: 1. The existing information extraction techniques are template-based or rule-based, 2. The existing methods lack the capability to tackle complex document layouts in real-time situations such as invoices and purchase orders, 3.The datasets available publicly are task-specific and of low quality. Hence, there is a need to develop a new dataset that reflects real-world problems. Our SLR discovered that AI-based approaches have a strong potential to extract useful information from unstructured documents automatically. However, they face certain challenges in processing multiple layouts of the unstructured documents. Our SLR brings out conceptualization of a framework for construction of high-quality unstructured documents dataset with strong data validation techniques for automated information extraction. Our SLR also reveals a need for a close association between the businesses and researchers to handle various challenges of the unstructured data analysis.

show abstract

Toward robotic process automation implementation: an end-to-end perspective

Cited by 98 publications

References 22 publications

Robotic Process Automation — a driver of digital transformation?

Robotic Process Automation — a driver of digital transformation?

Frontline robots in tourism and hospitality: service enhancement or cost reduction?

Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions

Contact Info

Product

Resources

About