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Specifically, organisations in both the private and public care sectors will be examined. Incidents reported by the media surrounding the failures in recruitment procedures will be discussed. An evaluation of recruitment decision‐making will be carried out and details of the present study, which considers how recruitment decisions are being made at present by organisations in the National Health Service (NHS), social care (SC), higher education (HE), further education (FE) and care home (CH) sectors, will be reported. The first wave of data collection consisted of informal interviews carried out with a series of recruitment decision‐makers from these organisations. Results showed that a variation in recruitment decision‐making between organisations exists, and so the protection of vulnerable persons may be being put at risk.

Reviews contemporary thinking on recruitment and selection in organisations. Draws upon data from a 1992 and a 1995 survey to explore the nature of current recruitment and selection practices in Ireland with particular reference to managerial jobs. Policy decisions on recruitment are examined, recruitment methods are reviewed, and the influence of ownership, size, unionisation and sector on the methods chosen is presented. Selection techniques employed are identified and the situations in which they are most likely to be utilised are highlighted.

One aspect of attracting new employees that has historically been ignored by recruitment researchers is salary negotiations. In this study, we used a hypothetical scenario design to depict salary negotiation experiences in which we varied the levels of salary offer, the behavior of a company and its representative, and the deadlines for receiving a signing bonus. MBA students served as study participants who read the scenarios and responded to questions about perceived organizational attractiveness and job acceptance decisions—two important recruitment outcomes. As hypothesized, our results indicated that salaries, a company's responsiveness to candidate questions, and a company representative's expression of derogatory comments all impact recruitment outcomes. However, exploding signing bonuses had no significant effects, calling into question the negative connotation practitioners have of exploding compensation schemes. Our justice framework revealed that many of the effects that we found for our manipulations on participants' judgments regarding our recruitment outcomes were mediated by perceptions of organizational justice. Finally, we found some evidence of the frustration effect, as procedures that were considered fair worsened rather than mitigated the negative effects of unfair outcomes on job acceptance decisions.

Introduction: Traditional recruitment system relied heavily on the applicants’ curriculum vitae (CV). This system, besides becoming redundant, has proved to be a futile exercise leading to the hiring of candidates that eventually turn out to be ‘misfits’. CVs were the only source of candidates’ data available for the recruiters a few years back. Face-to-face interviews was considered to be the ultimate solution for hiring suitable candidates. However, evidence suggests that interview scores and job performances do not complement each other. Advancement in artificial intelligence (AI) has introduced several techniques in the recruitment process.

Purpose: This chapter underscores the drawbacks of the traditional recruitment process. Evidence suggests that the traditional recruitment process is prone to subjectivity and is time-consuming. Surprisingly, despite the disadvantages, the integration of AI into the recruitment process is still slow. This chapter highlights the need to harness AI and the advantage technology could bring to the recruitment process. Some of the techniques that are garnering attention and widely used by organisations, such as chatbots, gamification, virtual employment interviews, and resume screening are described to enable the readers to understand with less effort. Chatbots and gamification techniques are described through process flow charts. We also describe the various types of interviews that could be conducted through virtual platforms and the modality by which the resume screening technique operates. Today, we are at a juncture wherein it is pertinent to acknowledge the superiority of technology-driven processes over traditional ones. This chapter will help the readers to understand the modus operandi to implement chatbots, gamification, virtual interviews and online resume screening techniques besides their advantages.

Scope: Although chatbots, resume screening, virtual interviews, and gamification are used in other areas, too, such as training and development, marketing, etc., in this chapter, we restrict solely to employee recruitment processes.

Methodology: Scoping review is used to examine the existing literature from various databases such as Google Scholar, IEEE, Proquest, Emerald, Elsevier, and JSTOR databases are used for extracting relevant articles.

Findings: Automation and analytics in recruitment and selection remove bias which is otherwise increasingly found in manual hiring processes. Also, previous studies have observed that candidates engage in impression management tactics in traditional face-to-face interviews. However, through automated recruitment processes, the influence of these tactics can be eliminated. AI-based virtual interviews reduce human bias. It also helps recruiters to hire talents across the globe. Gamification improves the candidate’s perception of the work and work environments. Through gamified techniques, the recruiters can understand whether a candidate possesses the required job skills. Chatbots are an interactive technique that can respond to interviewees’ queries. Resume screening techniques can save the recruiter’s time by screening and selecting the most appropriate candidates from a large pool. Hence, the chosen candidates alone can be referred to the next stage of the recruitment cycle. AI improves the efficiency of the recruitment process. It reduces mundane tasks. It saves time for the human resources (HR) team.

The purpose of this paper is to provide insights into the conduct of recruitment process outsourcing (RPO), based on a real-life case study of one company in Malaysia. The paper analyses the company’s process of recruitment outsourcing from beginning to end, in three sections: RPO decision, RPO implementation and RPO outcome.

The case study was carried out through semi-structured interviews with relevant respondents, including the country HR manager, the HR staff and operation managers in the organisation, plus with the RPO provider.

The key findings, from a theoretical and academic viewpoint, are that RPO decisions and implementation cannot be fully or properly explained by one theory, but are better explained by integrating transaction cost economics, the resource-based view and the Agency Theory. The study also highlights the importance of involving end users in the RPO process.

While this single case study gives a clear, in-depth insight into the issues in this particular instance, future research extending to a wider range of organisations would serve to expand the findings and provide more generalisable results.

Practitioners and service providers should be able to draw valuable lessons from the experience of Tech-solution, particularly from the different perceptions and levels of satisfaction about the service provider’s performance between internal HR and the internal end users (operation managers).

This paper provides a specific and detailed analysis of RPO implementation in practice. It also addresses the call for more RPO outsourcing-specific research in the extant literature.

The internet is initially hailed as the future of recruitment and is expected to replace other media as the preferred recruitment method, but the adoption of online recruitment has not been as comprehensively predicted. In addition, empirical research regarding online recruitment from an organisational perspective is sparse. This paper aims to examine the reasons behind an organisation's decision to use online recruitment, and reports on the development of a model of the factors affecting the adoption of this recruitment method.

The paper uses in‐depth interviews and a survey of human resource (HR) managers with recruitment responsibility. The factors that affect the adoption of online recruitment are explored, and related to Rogers's diffusion of innovation theory (DIT) and Ajzen's theory of planned behaviour (TPB).

Factors related to the adoption of corporate web sites and commercial jobs boards are found to be different, with positive beliefs/relative advantage, subjective norms and negative beliefs emerging in the case of corporate web sites and positive beliefs/relative advantage and compatibility for jobs boards. These results provide some fit with both Ajzen's and Rogers' factors.

This paper addresses an important area that is under‐researched academically and provides a basis for further research into how organisations may adopt online recruitment successfully.

Various scholars suggest that there is a lack of research on the recruitment in small and medium-sized enterprises (SMEs) and also a scarcity of theoretical basis for the recruitment procedures used by these companies. As the vast majority of studies concentrate on larger organizations, they may not accurately reflect the challenges faced by smaller-sized entities to profoundly and accurately comprehend their recruitment procedures. In addition, the use of technology in recruitment has grown in importance in today’s quickly evolving business environment, particularly in light of the COVID-19 pandemic footprint. This study aims to examine the recruitment procedures used by SMEs and how they have been compelled to adjust to different extents to these technological improvements by the effects of the aforementioned epidemic.

With the aim to investigate the current recruitment practices in SMEs and the extent to which digital technologies are embraced by these companies within human resources (HR) procedures, this research relied on interviews with SMEs representatives. The qualitative methods used provided access to relevant data and insights, as they allowed close interactions with top managers and CEOs of ten companies from various sectors. Thus, the research results draw a vivid and reliable image of the procedures and practices used by small and medium-sized companies to attract, select and retain their staff.

This study’s findings are of increased interest to HR professionals, recruiters and managers in SMEs, who aim to attract and retain the best talent and optimize their recruitment strategies in a rapidly changing business environment, enabled by technological advancements. Effective HR recruitment procedures adapted to the specific needs of small and medium-sized companies can lead to several benefits for the organization, including improved employee selection, reduced turnover and increased organizational productivity.

Although the interviews examined here encompass recruitment techniques from SMEs in a variety of industries, the results’ generalizability is limited by the sample size and geography. Furthermore, the findings’ dependability is dependent on the accuracy of the data provided by the respondents.

This investigation confirms some of the theoretical underpinnings which point to the lack of formalized structures and procedures in the recruitment process in SMEs, which enjoy more flexibility in managing HR processes. In addition, the results reinforce the arguments indicating an adjustment between HR strategies or policies and organizational goals in smaller enterprises which adapt faster to changes in the market. Moreover, it becomes apparent that there is a relationship between the quality of job descriptions and the successful fit in attracting the right candidates for the open positions. Furthermore, digital technologies offer opportunities for expanding the recruiters’ reach to a wider audience and also support the selection stage, thus increasing the chances of finding suitable staff. As the need to shift from traditional recruitment to e-recruitment in SMEs has been highlighted in the literature, the qualitative research revealed that this need was driven on the one hand by the COVID-19 pandemic when these companies successfully adapted and implemented new online methods of recruiting, but also by the lack of skilled labor, leading to the expansion of recruitment to other parts of the country or even to other countries.

With regard to the proportion of men and women used in small and medium-sized companies, there is a clear need to involve and train more women in the predominantly male-dominated industrial and IT sectors. From this point of view, companies tend to devote more interest to integrating communities of women in these industries, as well as in key management positions. Another point of interest that the study highlights is the fact that SMEs have started to get creative with the benefits package they propose to candidates and focus on remote work, hybrid office–home working, or seasonal work to offer future employees a better work–life balance.

The added value of this investigation is filling the gaps in the current literature concerning recruitment procedures currently used by SMEs, the challenges they face and the solutions they advanced to solve them. Furthermore, SMEs often drive innovation and competition in the market and play a crucial role in the supply chain of larger companies, providing them with the goods and services they need to operate and supporting the availability and reliability of products from larger companies. They are often the driving force behind revitalizing local economies and creating new employment opportunities. Consequently, the underlying significance of this study is rooted in the need to modernize and simultaneously improve HR recruitment procedures through the integration of technology and a focus on innovation.

Our proposed machine learning model contributes to improving the quality of Hire by providing a more nuanced and comprehensive analysis of candidate attributes. Instead of focusing solely on obvious factors, such as qualifications and experience, our model also considers various dimensions of fit, including person-job fit and person-organization fit. By integrating these dimensions of fit into the model, we can better predict a candidate’s potential contribution to the organization, hence enhancing the Quality of Hire.

Within the scope of the investigation, the competencies of the personnel working in the IT department of one in the largest state banks of the country were used. The entire data collection includes information on 1,850 individual employees as well as 13 different characteristics. For analysis, Python’s “keras” and “seaborn” modules were used. The Gower coefficient was used to determine the distance between different records.

The K-NN method resulted in the formation of five clusters, represented as a scatter plot. The axis illustrates the cohesion that exists between things (employees) that are similar to one another and the separateness that exists between things that have their own individual identities. This shows that the clustering process is effective in improving both the degree of similarity within each cluster and the degree of dissimilarity between clusters.

Employee competencies were evaluated within the scope of the investigation. Additionally, other criteria requested from the employee were not included in the application.

This study will be beneficial for academics, professionals, and researchers in their attempts to overcome the ongoing obstacles and challenges related to the securing the proper talent for an organization. In addition to creating a mechanism to use big data in the form of structured and unstructured data from multiple sources and deriving insights using ML algorithms, it contributes to the debates on the quality of hire in an entire organization. This is done in addition to developing a mechanism for using big data in the form of structured and unstructured data from multiple sources.

The total neglect of human assets as opposed to physical assets is one of the anomalies of financial accounting. Perhaps nowhere is this anomaly greater than in the instance of the professional football club, because here the net worth of the human resources, principally the playing staff, helps determine playing success and perhaps ultimately financial success. Moreover, such is the nature of the employment contract in professional football, these human resources may be transferred between clubs, and the corresponding financial transaction is manifest in what might be termed autonomous and induced effects in the financial accounts of the buying and selling club respectively.