Intelligent assistant system as a context-aware decision-making support for the workers of the future

Belkadi, Farouk; Dhuieb, Mohamed Anis; Aguado, José Vicente; Laroche, Florent; Bernard, Alain; Chinesta, Francisco

doi:10.1016/j.cie.2019.02.046

Cited by 40 publications

(24 citation statements)

References 47 publications

(45 reference statements)

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“…However, while some robots operate autonomously, with human oversight but little engagement, others function more cooperatively, with humans complementing the behaviour of robots. Developments in artificial intelligence also allude to a future where robots assist, rather than supplant human involvement (Belkadi et al, 2020). In these operational environments, employees need to be both willing to work with robotic technology and be capable of working cooperatively with an ‘intelligent’ machine (Trautman et al, 2015).…”

Section: Future Workforce Demandsmentioning

confidence: 99%

“…In capitalising on individual differences, interfaces are being developed to offer support to better match individual capabilities with the environmental conditions. For example, among less experienced practitioners, electronic support systems can acquire, interpret and respond to task-related information and, depending upon the conditions, may recommend or even execute a response to maintain the performance of the system (Baysari et al, 2011; Belkadi et al, 2020; Sauer and Rüttinger, 2007). However, for newly qualified and competent practitioners, an electronic support system might acquire and interpret task-related information, but provide a range of options from which a response might be selected.…”

Section: A Complementary Approach To Technological Advancesmentioning

confidence: 99%

“…Increasing capabilities in artificial intelligence may provide a solution to the issue of how and when to complement human performance in practice. Intelligent systems will eventually be able to identify changes in human behaviour and respond to these changes quickly and effectively (Belkadi et al, 2020). However, while this capability offers benefits in ensuring the maintenance of system performance, it may also result in the degradation of skills, particularly where support is provided on too regular a basis.…”

Section: Demands For the Workplace Of The Futurementioning

confidence: 99%

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Optimising the future of technology in organisations: A human factors perspective

Wiggins

Auton

Bayl-Smith³

et al. 2020

Australian Journal of Management

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New technologies are critical for sustained economic growth in contemporary organisations. However, the success of new technologies is dependent upon the relationship with users. Using a human factors framework, this article examines contemporary approaches to the assessment of human–technology interactions, highlighting the lack of integration and the need for a comprehensive approach that considers user contributions, including skills, capabilities and dispositions; technological contributions, including dependencies, reliability, complexity, and accuracy; and organisational contributions through training assessment, organisational climate and culture, and leadership. The successful integration of new technologies in the workplace is likely to lead to a more productive and enjoyable interaction for employees and customers, together with systems that are more resilient to the complexities and threats that are likely to emerge in the future work environment. JEL Classification: J28, L15, D23, D24

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Section: Future Workforce Demandsmentioning

confidence: 99%

Section: A Complementary Approach To Technological Advancesmentioning

confidence: 99%

Section: Demands For the Workplace Of The Futurementioning

confidence: 99%

See 1 more Smart Citation

Optimising the future of technology in organisations: A human factors perspective

Wiggins

Auton

Bayl-Smith³

et al. 2020

Australian Journal of Management

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“…Moreover, Belkadi et al [21] performed a comparative analysis of decision support systems that are dedicated to maintenance departments, such as the 'Knowledge' based system for industrial maintenance [22] and the 'Intelligent' system for predicting breakdowns and monitoring industrial machines [23], which have the advantage of providing their solutions in the form of functionality, or, to put it another way, the transformation and adaptation of expert knowledge.…”

Section: Supporting the Selection Of Expert Maintenance Workers In Thmentioning

confidence: 99%

An Approach to Supporting the Selection of Maintenance Experts in the Context of Industry 4.0

Patalas‐Maliszewska

Kłos

2019

Applied Sciences

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(1) Background: In recent years, many studies regarding the issues of improving the management and effectiveness of the maintenance department of manufacturing companies, in the context Industry 4.0, have been published. This makes it necessary to establish a research gap in the approach to obtaining support in realising management tasks in the maintenance area in the selection of appropriate employees to perform the given activities. (2) Methods: This article uses literature studies and empirical research results from manufacturing companies, in order to determine the approach in supporting the selection of maintenance experts. In the approach, the method used—which is based on rules should there be future any formalisation of the data—is also the Fuzzy Analytic Hierarchy Process (FAHP), which analyses the importance of a given competence, within a manufacturing resource, to undertake repairs. (3) Results: The innovative approach towards the selection of expert workers in a maintenance department is created, in part, in the form of an implemented web-application. The novelty of the “maintenance expert selection map", so-called, is the provision of formal procedures for describing the competence of each maintenance worker and defining the best “state of nature”. (4) Conclusions: In the research that is presented here, the practicality for maintenance managers in the “maintenance expert selection map" was established. This map describes the competence of workers for selecting them for repair work within a given manufacturing resource; the scope of employee training was also determined in this research.

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“…Besides, there is a need to simplify the technical difficulties in communicating the technological term of Information Technology (IT) to other non-IT personnel in the organization (Daza, & Hargiss, 2020) in the attempt to improve the decision-making process. On the other hand, the knowledge on the decision-making process to adopt ECMS in relation to high-end technology such as context-aware knowledge-based system (Belkadi, et. al., 2020) is also scarce.…”

Section: Introductionmentioning

confidence: 99%

The Role of Business Processes in Influencing the Decision Support Capabilities of Enterprise Content Management System (ECMS): Towards a Framework

Rosman¹

2020

APJITM

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Facing an unprecedented explosion of digital content, many organisations have been left with a large repository of unstructured information. Huge volumes of electronic content have been captured and stored within organisations' repositories, depriving organisations of the ability to analyse this data properly. As a result, many organisations are facing crucial problems, such as (1) employees wasting 30% of their time looking for relevant information; (2) operational and maintenance cost increases to handle large amounts of data; and (3) loss of opportunities to gain a strategic advantage through proper analysis of organisational data. To overcome these problems, the Enterprise Content Management System (ECMS) was introduced in the early 2000s. Having been researched for a period of 25 years, most prior studies on ECMS focus on a bottom-up approach with the intention of achieving immediate benefits such as cost-reduction, meaningful knowledge work and re-use of previous content. A top-down approach that aims to improve decision-making, resource allocation and competitive intelligence are ignored due to a lack of awareness about the importance of such benefits. Therefore, this research will explore the relationship between ECMS and how it can facilitate decision-making processes. Grounded on previous literature, the contributions of this paper are as follows: first, the paper provides insight into the research from the perspective of ECMS; second, the paper proposes a research model for further exploration of the topic; finally, implications and future directions for research is outlined.

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Intelligent assistant system as a context-aware decision-making support for the workers of the future

Cited by 40 publications

References 47 publications

Optimising the future of technology in organisations: A human factors perspective

Optimising the future of technology in organisations: A human factors perspective

An Approach to Supporting the Selection of Maintenance Experts in the Context of Industry 4.0

The Role of Business Processes in Influencing the Decision Support Capabilities of Enterprise Content Management System (ECMS): Towards a Framework

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