A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives

Ng, Ka Man; Chen, Chun‐Hsien; Lee, C. K.M.; Jiao, Jianxin; Yang, Zhixin

doi:10.1016/j.aei.2021.101246

Cited by 143 publications

(84 citation statements)

References 122 publications

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“…In this sense, opening a discussion about the disparities and coincidences between RPA and similar technologies, and formally classifying what is being investigated relative to this technology, is of vital importance for the community to grow and open new research lines" [18]. Research on robotic process automation is taking new directions and is increasingly carried out not only in terms of finance, but also in social [7] or management [77] terms or in terms of the possibility of using its full potential in the future [17]. Considerations regarding RPA centers of excellence show at the same time a certain trend and standardization of the approach to creating specialized organizations or departments of intelligent automation and, despite very large similarities, some differences.…”

Section: Discussionmentioning

confidence: 99%

“…For some time now, RPA technology has been the subject of close scientific observation. This is due to the fact that it is considered to be the "face" of the aforementioned digital transformation in business [17][18][19]. A common feature of all industrial transformations and intelligent business automation solutions is the possibility of significantly increasing the production capacity of enterprises, with the difference that industrial revolutions have improved physical processes, and automation with the use of artificial intelligence has enabled the full automation of virtual tasks [20].…”

Section: Introductionmentioning

confidence: 99%

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Internal Determinants in the Field of RPA Technology Implementation on the Example of Selected Companies in the Context of Industry 4.0 Assumptions

Marciniak¹,

Stanisławski

2021

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As part of the assumptions of Industry 4.0. many modern technologies are developing. One of them is robotic process automation (RPA). It allows the replacement of human labor with robots, thus increasing the production capacity of enterprises. In practice, the implementation of RPA takes place through two solutions (models): using the services of an external entity offering RPA (service insourcing) or creating your own center of excellence (CoE). The use of both solutions is influenced by numerous conditions (determinants), among which we can mention benefits on the one hand and threats on the other. They are very different and depend on the model used. In this article, attempts were made to identify and determine their impact on the selection of the appropriate model from the point of view of the company (the purpose of the article). The research used two cases of entities implementing RPA on the basis of opposites, i.e., two different models, in which the discussed technology is treated as an important element of their automation. The achieved results indicate that there is no universalism, and their dominant feature is individualism concerning both enterprises and the solutions they implement. This is undoubtedly the effect of the currently too shallow RPA market, as well as the small number of entities using technologies based on intelligent systems. This is a serious research gap, which along with RPA growth will be reduced as a result of more and more intensive research in this field.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Internal Determinants in the Field of RPA Technology Implementation on the Example of Selected Companies in the Context of Industry 4.0 Assumptions

Marciniak¹,

Stanisławski

2021

Information

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“…In contrast to "strong AI", IPA bots cannot autonomously solve problems beyond their programmed parameters (Viehhauser 2020). 3 The term IPA is also referred to as Cognitive Automation (e.g., Hofmann et al 2020;Jacobi and Groher 2019;Taulli 2020;Willcocks 2020) or Intelligent Automation (e.g., Coombs 2020;Ng et al 2021). However, it is reasonable to define IPA systems as the extension of basic, non-intelligent RPA with AI technologies.…”

Section: Ipa Classification Frameworkmentioning

confidence: 99%

“…IPA also receives growing interest from the public sector (Dias et al 2019;Markets and Markets 2020). Despite the emerging practical dissemination, scientific research on IPA is still scarce (Ng et al 2021;Syed et al 2020;Viehhauser 2020), specifically in the context of PSM (Srai and Lorentz 2019). Existing publications (e.g., Allal-Chérif et al 2021;Nicoletti 2020;Teli and Prasad 2018) are either generic or RPA-centered.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Intelligent Process Automation on Purchasing and Supply Management – Initial Insights from a Multiple Case Study

Flechsig¹

2021

Logistics Management

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The Covid-19 pandemic drives the need for Intelligent Process Automation (IPA). However, the technology's adoption for purchasing and supply management (PSM) is still in the initial stage and has hardly been explored. Therefore, this empirical multiple case study builds on 19 organizations, including private and public procurement departments, consultancies, and IPA providers, to examine the impact of IPA on the PSM function. The findings provide comprehensive insights and reveal suitable operational and strategic application areas as well as several benefits related to IT systems and data, operational efficiency, process quality, and employee satisfaction. The study also identifies various technological, organizational, and environmental challenges that need to be overcome for further IPA adoption. Therefore, future research directions and managerial implications are outlined.

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“…Os robots software normalmente non aprenden da experiencia para tomar decisións por si mesmos identificando correlacións entre os datos que son utilizadas para xerar patróns e modelos. Os robots software tampouco son capaces habitualmente de xestionar información incerta ou excepcións 21 . Non obstante, iso non quere dicir que a intelixencia artificial sexa allea aos robots software 22 .…”

Section: Robots Software E Intelixencia Artificialunclassified

Robots, asistentes virtuales y automatización de las Administraciones públicas

Martínez

2021

REGAP

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Los robots software son dispositivos utilizados para automatizar tareas o para interactuar con dispositivos. En los últimos tiempos, algunos robots software están utilizando inteligencia artificial para poder desarrollar tareas complejas o aprender de la experiencia. Todo ello ya está teniendo aplicaciones en las administraciones públicas. En este artículo se analiza cómo la automatización de las administraciones públicas incide en los principios de la Administración digital. Asimismo, se estudia la regulación de la actuación administrativa a través de robots y los límites que impone la normativa de protección de datos. Además, se expone el impacto que el uso de robots puede tener en el empleo público. Finalmente, se identifican los procedimientos que utilizan las administraciones públicas para incorporar robots software.

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A systematic literature review on intelligent automation: Aligning concepts from theory, practice, and future perspectives

Cited by 143 publications

References 122 publications

Internal Determinants in the Field of RPA Technology Implementation on the Example of Selected Companies in the Context of Industry 4.0 Assumptions

Internal Determinants in the Field of RPA Technology Implementation on the Example of Selected Companies in the Context of Industry 4.0 Assumptions

The Impact of Intelligent Process Automation on Purchasing and Supply Management – Initial Insights from a Multiple Case Study

Robots, asistentes virtuales y automatización de las Administraciones públicas

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