Quick fix for obstacles emerging in management recruitment measure using IOT-based candidate selection

Nallakaruppan, M. K.; Kumaran, U

doi:10.1007/s11761-018-0236-2

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…The authors in [26] proposed a solution to address challenges encountered in managing recruitment processes. They advocate for incorporating Internet of Things (IoT) technology in candidate selection.…”

Section: Related Workmentioning

confidence: 99%

An Optimized FL-XAI model for secured and trustworthy candidate selection

Fuladi,

K.,

Sathyamoorthy

et al. 2024

Preprint

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Reliability and trustworthiness are the two pillars of decision support systems deployed in the selection process of automated candidates. The automation should ensure the selection's correctness and the decision's fairness. Conventional models work around fuzzy-based systems, exploiting multi-criteria decision support systems. Here, we propose a procedure combining the advantages of Federated Learning (FL) and Explainable Artificial Intelligence (XAI), ensuring privacy, reliability, and fairness in selecting candidates. We propose an architecture in which the exploitation of FL provides more accurate classification results while XAI provides a trustworthy and reliable representation of the candidate selection through decision plots. The SHAPELY model is used in the proposed work for explanation. Results and comparisons with several machine learning (ML) algorithms show the superiority of the proposed architecture. FL can reach an accuracy of 96%, thus confirming the validity of the proposed approach for providing an automated and well-explained candidate selection process.

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Section: Related Workmentioning

confidence: 99%

An Optimized FL-XAI model for secured and trustworthy candidate selection

Fuladi,

K.,

Sathyamoorthy

et al. 2024

Preprint

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“…Enabling Better Recruitments-Recruitment is one of the most important areas in the human resources feature. IoT can help in aiding efficient recruitment process by keeping an eye on the employees' response during recruitment [10]. This will subsequently affect in bringing down the attrition rate.…”

Section: Iot's Influence On Hrmentioning

confidence: 99%

What Has IoT Got to Do with HR and People: A Case of Delloitte

Anand¹,

Anand²

2021

TURCOMAT

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Interacting with software using keyboard and mouse will soon be history. Voice, speeches, gestures are the next big thing in communication. IoT will certainly produce a large amount of people-related data and it is this data that is going to be really useful for decision taking purposes. HR would need to incorporate technology to successfully control the organizational human resources. IoT will allow us to access our data and other applications like Continuous Performance Management, where digital culture is required to create a genuinely valuable connection between an employee and his or her staff. It also helps to exchange thoughts and experiences through social media collaboration which is a driving force for all employees. The paper tries to analyze the role of IoT in People analytics, challenges associated with it and how Delloitte Canada has gone about implementing it across their organization.

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“…In addition to the proposed framework, we also proposed a novel neutrosophic multi-criteria decision making technique based on The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) for supporting customers in selecting the best service or product from among several types. The TOPSIS technique is used for evaluating the performance of IoT in organizations [23]. Similarly, an unclear multicriteria group decision making algorithm based on the TOPSIS approach and the concept of similarity measures was developed by Wibowo and Grandhi [24] for evaluating the overall performance of IoT-based supply chains.…”

Section: Introductionmentioning

confidence: 99%

IoT and Its Impact on the Electronics Market: A Powerful Decision Support System for Helping Customers in Choosing the Best Product

Abdel‐Basset

Mohamed

Chang³

et al. 2019

Symmetry

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Many companies have observed the significant benefits they can get via using internet. Since then, large companies have been able to develop business transactions with customers at anytime, anywhere, and in relation to anything, so that we now need a more comprehensive concept than the internet. This concept is the Internet of Things (IoT). IoT will influence decision making style in various phases of selling, buying and marketing process. Therefore, every individual and company should know precisely what IoT is, and how and why they should incorporate it in their operations. This motivated us to propose a smart system based on IoT to help companies and marketers make a powerful marketing strategy via utilizing obtained data from IoT devices. Not only this, but the proposed system can also solve the problems which face companies and customers in online shopping. Since there are different types of the same product, and also different criteria for purchasing which can be different between individuals, customers will need a decision support system to recommend them with the best selection. This motivates us to also propose a neutrsophic technique to deal with unclear and conflicting information which exists usually in the purchasing process. Therefore, the smart system and neutrosophic technique is considered as a comprehensive system which links between customers, companies, marketers to achieve satisfaction for each of them.

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Quick fix for obstacles emerging in management recruitment measure using IOT-based candidate selection

Cited by 11 publications

References 18 publications

An Optimized FL-XAI model for secured and trustworthy candidate selection

An Optimized FL-XAI model for secured and trustworthy candidate selection

What Has IoT Got to Do with HR and People: A Case of Delloitte

IoT and Its Impact on the Electronics Market: A Powerful Decision Support System for Helping Customers in Choosing the Best Product

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