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The purpose of this paper is to present and discuss the recruitment conditions of multinational companies (MNCs) in Egypt, along with problems and de‐recruitment activities such MNCs face.

Surveys in the form of questionnaires were used and data from 55 MNCs operating in Egypt were acquired to investigate the recruitment function's processes and problems MNCs faced along with de‐recruitment practices MNCs undertake.

Results indicated that small and medium enterprises (SMEs) showed higher adoption rate of the recruitment process than large enterprises (LEs). In addition, results indicated that the recruitment function is perceived to be run jointly by human resource management (HRM) and line management, giving an upper hand to HRM. In general, two sets of problems facing recruitment were revealed; candidate‐ and organization‐related problems, where the former had been more frequently reported by SMEs rather than LEs. Finally, the findings illustrated the actual de‐recruitment practices undertaken by MNCs operating in Egypt. SMEs adopted less aggressive de‐recruitment activities than LEs, where mainly recruitment freezing and early retirement are mostly used.

This paper highlights three under‐researched areas by studying the organizational size dimension of recruitment and identifying the pattern of de‐recruitment activities employed by MNCs of different sizes, and also identifying recruitment problems facing MNCs in Egypt. Such findings could help organizations either planning to start up or in enhancing their operations in the Egyptian market. As well, these findings provide insight to recruits about the recruitment stages and problems they might encounter.

Service employees in subordinate service roles are crucial for operational efficiency and service quality. However, the stressful nature of these roles, inappropriate hire selection, and the proliferation of job boards have created massive recruitment problems for HR departments. The purpose of this paper is to highlights the growing costs of recruiting the right candidates for service roles while offering an alternative approach to recruitment that is more efficient and effective than the traditional approach.

The study offers empirical evidence of five instances in which the use of psychometric sifting procedures reduced recruitment costs, while improving the quality of the resultant hires.

By standing the traditional recruitment process “on its head” and using psychometric tests at the start of the selection process, the recruitment process can be significantly improved. Such tests efficiently weed out unsuitable candidates before they even enter the recruitment process, leaving a smaller, better-qualified pool for possible recruitment.

Firms can safely use the psychometric sifts to select applicants according to their operational efficiency, customer orientation, and overall performance. This paper illustrates the use of both traditional questionnaire measures and situational judgment tests to remove unsuitable applicants at the start of the selection process. A real-life case study suggests that such an approach increases the hiring success rate from 6:1 to 2:1. In the opening of a new supermarket by a UK group, this process saved 73,000 hours of managers’ time, representing $1.8 million savings in opening costs.

The paper offers a viable cost-saving alternative to a growing problem for HR departments in service firms and provides directions for further research.

Introduction: Artificial intelligence (AI) assists recruiters in effectively and efficiently nominating applicants precisely and accurately. It helps in the screening of resumes without biasness. This chapter will identify different AI technology and various organisations using it fully or partially.

Purpose: This chapter aims to get insights about various AI tools that assist human recruiters, save time and cost, and provide modern experiences. It will help identify various applications that are currently in use and their features. It also helps in finding out the benefits and the challenges faced by the recruiters and the applicants while assimilating those applications in hiring.

Need for the Study: The study will be helpful to all those recruiting firms who are presently using AI or not using it to understand the benefits and challenges they might face.

Methodology: The chapter will be based on reviews and industry reports. This chapter will include a study related to human resource (HR) functions where AI is used. To give more insights into AI technology, this study mentions various applications like Mya, Brazen, etc., and their usefulness in recruitment. Also, special emphasis would be given to the recruitment functions as most companies use AI. Some companies like Deloitte and Oracle are using AI fully or partially will also be incorporated.

Findings: The study finds out that although many companies have started to use AI tools for recruitment, they have not explored all the algorithms that can be used to complete the whole recruitment and selection process. Companies like Loreal use AI for candidate applications and recruiter screening, but human recruiters stand strong for assessments and interviews. AI’s widespread use presents human resource management (HRM) practitioners with both opportunities and challenges.

Practical implications: The basic idea of the study is to scrutinise the related literature and find out the features, advantages and limitations/challenges of using AI which would be helpful for recruiters in better understanding of the technology-driven recruitment.

This article reports and evaluates how a traditional approach to recruitment and selection in the Social Services Department of West Sussex County Council was superseded by a competency‐based approach. The authors discuss the impacts of external and internal changes on the local authority and the need to develop less subjective and more effective methods of recruitment and selection, at all levels. After describing and reviewing existing practices, they outline the results of an internal research investigation involving managers and personnel and training specialists. The research participants acknowledged the limitations of the existing recruitment and selection practices and recognised the need for a more competence‐based approach. This was clearly an important stage in the change process which the authors proceed to describe. Here, they highlight the key role of training and relationship‐building between line managers and personnel specialists. Examples are provided of traditional and competence‐based job descriptions, person specifications and forms of assessment. The authors conclude that the new system fits well into the department’s overall human resources strategy for improving workplace performance and reducing workplace conflict.

The purpose of this paper is twofold. First, to discuss the application of a multi‐level perspective to signaling theory in a recruitment context. Then to discuss how the integration of signaling theory and the social identity approach may provide an improved understanding of the associations between an organization's recruitment activities and applicant attraction outcomes. The paper, first, summarizes the existing research and theoretical developments pertaining to signaling theory, multi‐level theory, and the social identity approach. From this literature a theoretical model from which research propositions are developed is suggested.

This is a literature review, within recruitment contexts, on signaling theory, the association between market signals and applicant attraction outcomes, and the integration of signaling, social identity, and self‐categorization theories as a theoretical foundation for research propositions.

Despite widespread acceptance of signaling theory in recruitment research, surprisingly little is known about the boundary conditions in the association between an organization's recruitment activities and applicant attraction outcomes.

A greater understanding of the application of signaling theory will enable managers to design and administer recruitment activities and processes in order to improve applicant attraction to recruiting organizations.

This paper fills a void in the recruitment literature by integrating signaling theory, social identity theory, and self‐categorization theory and providing avenues for future work.

Demonstrates how technology can improve the recruitment process in a large organization.

Discusses how the replacement of a paper‐based system with online technology greatly improved recruitment efficiencies and the candidate experience at high‐street retailer River Island.

Reveals that, because of the high volume of applications received, the organization acknowledged it needed to revise and refresh its approach to recruitment.

Explains that the company teamed up with online recruitment and resourcing expert Changeworknow to design a system to meet the needs of the brand. Reveals that the combined impact of moving from a manual to a technology‐led process, and transferring recruitment from front‐line managers to HR, has improved the process to the extent that the system is being expanded across the organization. Shows how technology can help to overcome the challenges associated with seasonal recruitment.

Describes how a robust, flexible and candidate‐focused recruitment system is enabling River Island to attract and sign up the most talented people.

This paper aims to review the applications of artificial intelligence (AI) in the hiring process and its practical implications. This paper highlights the strategic shift in recruitment industry caused due to the adoption of AI in the recruitment process.

This paper is prepared by independent academicians who have synthesized their views by a review of the latest reports, articles, research papers and other relevant literature.

This paper describes the impact of developments in the field of AI on the hiring process and the recruitment industry. The application of AI for managing the recruitment process is leading to efficiency as well as qualitative gains for both clients and candidates.

This paper offers strategic insights into automation of the recruitment process and presents practical ideas for implementation of AI in the recruitment industry. It also discusses the strategic implications of the usage of AI in the recruitment industry.

This article describes the role of technological advancements in AI and its application for creating value for the recruitment industry as well as the clients. It saves the valuable reading time of practitioners and researchers by highlighting the AI applications in the recruitment industry in a concise and simple format.

The purpose of this paper is to explore various risks that are associated with recruitment process outsourcing (RPO) strategy in the Indian information technology (IT)/IT-enabled service (ITes) industries.

Purposeful intensity sampling was used to select respondents from IT/ITes organizations. Twenty-eight respondents were interviewed through face-to-face semi-structured interviews and telephonic interviews. Each interview lasted for approximately 65 min. All interviews were audio recorded with the permission of the respondents and were then transcribed. The data were analyzed with the help of a qualitative technique, thematic analysis.

Results show that the stakeholders associated with RPO are not satisfied with several issues such as violation of initial contact between the applicant and the potential employer, violation of contracts by the vendor, unfair practices by the vendor, poor quality service provided by the vendor, plausibility that the vendor does not understand the culture of the client organization, inappropriate placement of human resources by the vendor, low morale of the employees and loss of managerial control due to RPO.

Small sample size and qualitative research design reduces the external validity of the findings to certain extent.

Companies deploying RPO should be wary about the plausible negative consequences. This paper offers various solutions to mitigate such risks.

This paper is a novel attempt which details various risks due to deployment of RPO from multiple stakeholder perspectives.

This study applies a person-environment fit (PEF) framework to examine the extent to which organizational attractiveness may be influenced by person-organization fit (POF) feedback and person-job fit (PJF) feedback in web-based recruitment. Furthermore, the potential mediating roles of subjective POF and subjective PJF perceptions were examined.

Senior undergraduate business administration students participated in a two-stage experiment by completing a paper-and-pencil survey during a campus career fair and then reviewing a recruitment website.

Research findings showed that online assessment feedback on PJF was positively related to organizational attractiveness. The higher the level PJF, the more organizational attractiveness participants reported. Second, both POF and PJF feedback information can affect organizational attractiveness indirectly through subjective POF and PJF perceptions, respectively. Fresh graduates were more sensitive to PJF feedback in deciding organizational attractiveness.

This study contributes to the recruitment literature in at least three ways. First, online recruitment messages concerning can affect organizational attractiveness. Second, in support of the PEF framework, fresh graduates can distinguish subjective POF perceptions from subjective PJF perceptions. Third, fresh graduates are more sensitive to PJF information and perceptions in deciding organizational attractiveness.