[Retracted] A Deep Learning-Based Framework for Human Resource Recommendation

Table 1

Summarised related works.

Sl. no.	Name of authors	Algorithm used	Description	Limitations of the study
1	Taamneh et al. (2017) [19]	—	To assess work-related ethics and their impact on HRM functions among Jordanian university administrators.	Lack of behavioral integrity and ethical conduct does not succeed.
2	Wei and Jin (2021) [20]	Machine learning	An optimized GM model and a backpropagation neural network model are combined to improve the HRM system.	Poor ability to learn new things.
3	Stone et al. (2006) [21]	—	How well do these systems work and are accepted at each step of the hiring process, including job description, job applications, well before testing, interviews, producing hiring decisions, evaluating and validating, and examination and recognition?	The questions they ask might not be related to the job or meet legal requirements.
4	Onik et al. (2018) [22]	Blockchain-based recruitment management system (BcRMS) and blockchain-based human resource management system (BcHRMS)	For hiring people and managing HR for industry 4.0, they used blockchain technology.	Blockchain is not a distributed file system of computers.
5	Berhil et al. (2020) [23]	Artificial intelligence (AI)	To analyze, the problems of HR researchers face and how computer scientists try to solve them.	Black-box nature.
6	Vrontis et al. (2022) [24]	AI	To organize what academics have learned about intelligent automation so far and to make clear what its main contributions to HRM are and what challenges it poses.	Biased algorithm.
7	DeCenzo et al. (2016) [25]	—	The authors give a solid overview of the most important parts of human resource management, as well as a clear explanation of how HRM fits into business strategy.	Not enough sustainment from the upper edge.
8	Stone et al. (2015) [26]	—	Examine the current effects of technology on HR operations, evaluate the literature on the subject, and discuss the benefits and drawbacks of employing these technologies.	Mechanism of one-way connection.
9	Fındıklı and Beyza Bayarçelik (2015) [27]	—	To investigate HR managers’ attitudes on e-HRM, their viewpoints on selecting system applications, and their observed organizational outcomes in Turkey’s leading enterprises.	Data losses.
10	Van Gramberg et al. (2014) [28]	—	Illustrate the tension between HR as a strategic partner and employee champion.	Recruiting and keeping high-quality employees.
11	Ahmed and Ali (2020) [29]	Chi-square test and Tukey test	The study compares the populations and medical applications of people with allergic rhinitis who got all three therapies.	When there are a lot of classifications, it is tough to evaluate them.
12	Tewari and Pant (2020) [30]	AI	Examines the work of several notable experts to determine how AI is changing the field of HRM.	There is no human replication.
13	Samarasinghe and Medis (2020) [31]	AI	The strategic HRM theory of resource advantage theory was used to build the “AI-based Strategic HRM for Industry 4.0” (AISHRM) model.	Time of implementation.
14	Garg (2020) [32]	Digital twin	This has the potential to provide enormous societal advantages by enabling comprehensive normalizing enhancing initiatives.	Globalization and new production technology are among the issues at hand.
15	Duan et al. (2019) [33]	AI	To address the issues connected with the use or effect of revitalized AI-based ruling networks, as well as to propose a list of research questions for data systems experts.	No morals.
16	Singh and Sharma (2022) [34]	Sensor	It describes a platform for managing agricultural crop data gathered by multirotor unmanned aerial vehicles (UAVs).	Shelving life confined.
17	Zeng et al. (2021) [35]	Blockchain	The convergence of the Internet of Things and blockchain is used in this study for a reasonable amount of farmlands.	It restricts the number of trades that may be processed by a blockchain.
18	Sharma and Singh (2021) [36]	Image processing	The use of unmanned aerial vehicles for the detection of fire is highlighted.	The improved image sharpness is insufficient because it does not give structural parameters of the tiny agents or habitat analysis.
19	Sharma et al. (2020) [37]	Image processing	Using the notion of a sensor network and unmanned aerial vehicles (UAVs) technology, they try to design an early fire detection system to eliminate fire incidents.	Based on the option employed, the initial cost is substantial.
20	Salihu and Iyya (2022) [41]	—	Physiochemical properties and organophosphorus pesticides in the ground from the chosen vegetable fields in Zamfara were described.	The examination of high-thermal stability substances is possible.