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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.

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 study aims at demonstrating how social media shape the recruitment and selection processes of individuals in developing countries. It further explores the impacts of social media on business productivity, cost efficiency, widening of search, less employee turnover and competitive advantage mediated by adopting e-recruitment processes. This research adopts social network theory to discuss the findings and highlight the new mechanisms that legitimise business manipulation in e-recruitment process by exploring the usage of social media.

Secondary data based on literature review is triangulated with 37 semi-structured qualitative interviews with managerial and non-managerial members of staff.

The findings show that e-recruitment has immense advantages to businesses. However, the authors also consider the dark side of social media and e-recruitment process by considering social network theory as a manipulation tool in organisations of developing countries.

Having adopted the social network theory, this research highlights the new mechanisms that legitimise business manipulation in e-recruitment process. Thus, it demonstrates technological advancements that reshape the dynamics of social networks and recruitment processes.

The purpose of this paper is to develop and validate an empirical model examining the job seekers’ perception about information quality of corporate employment websites and its impact on their attitude toward the websites through perceived playfulness and usefulness. Furthermore, the study also examines the job seekers’ e-trust as condition under which these mechanisms generate website attitude.

A sample of 385 active job seekers was selected through systematic random sampling. A web-based questionnaire was used to elicit responses for the study. Structural equation modeling was used to validate the proposed model.

Results indicate that the information quality dimensions positively influence perceived playfulness and perceived usefulness, which in turn evoke the website attitude. Furthermore, e-trust was found to moderate the above said relationships.

The study contribution lies in an empirical validation of a model showing the mechanisms and the condition through which the relationship exists between perceived information quality of e-recruitment websites and job seekers’ website attitude, and thus responds to the call for additional research that generalizes the influence of information characteristics of websites on job seekers’ behavioral outcomes.

The purpose of this article is to examine all the studies carried out within the scope of e-HRM and smart HRM, grouped according to the sub-functions of technical and HRM. The use of technology in HRM has started since the mid-1990s. However, this study focused on the articles published after 2014 in order to keep up to date. Any search strategy should allow for the completeness of the search to be evaluated. The terms “electronic-HRM”, “AI and HRM”, “Industry 4.0 and HRM”, “Society 5.0 and HRM”, “Human Resource Information Systems” and “Digital Technologies and HRM” “Human-robot interaction” has been questioned in IEEE Xplore, ALM digital library, Emerald Insight, SpringerLink, and Science Direct. The Web of Science and Scopus were also queried to double-check the findings and find other relevant articles in lesser-known libraries. Google Scholar was also used for forward and backward searches. These online databases have been chosen because they present the most important peer-reviewed full-text journals, conference proceedings, book chapters. Then, the references of each article were reviewed for additional articles on digital technologies and HRM. Each subsequent article is then reviewed for additional reference.

A total of 5,580 articles have been reviewed. Duplicate items have been removed. The titles and abstracts of 3,500 articles have been scanned to identify potential articles. The full-text evaluation of 2,554 was based on compliance with the inclusion criteria. In addition, 2,458 studies have been excluded. In total, 96 studies have been selected for data extraction. Additionally, questionnaires and reviews have been used to provide comprehensive research on e-HRM and smart HRM. The search terms used are expected to cover most, if not all, of the studies involving e-HRM and smart HRM.

The study carried out in this article is qualitative research. In the article, which methods are used and what has changed in e-HRM and smart HRM are examined. In particular, it has been thought about what can happen with the inclusion of human-machine interaction, AI, chatbots, industry 4.0 and information systems in HRM. Unlike previous studies, this review takes HRM from a broader perspective and groups it by topic, both by technical and HR functions. In addition, the reviewed articles provide brief information about the AI technologies used. In particular, criteria were taken into account according to the field, type and subject of the articles.

This study has the distinction of being the first in the literature in terms of examining all the studies carried out within the scope of e-HRM and smart HRM and grouped according to the sub-functions of technical and HRM in line with its purpose. The article focuses specifically on research published after 2014. It is expected to contribute to the literature in terms of collecting all studies in a single article. Other contributions of this article can be summarized in four main articles: 1) it presents a summary of previous research by grouping the studies on e-HRM and smart HRM according to the interests of researchers. 2) It saves time for the reader as it provides a brief explanation of the studies on the subject. 3) Instead of explaining in detail the general details analyzed in other articles, it offers a practical perspective by focusing on the type, subject and field of the article. 4) With the digitalization of HRM, new, up-to-date research and techniques are introduced.

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.

This study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers and talent acquisition managers with a structured questionnaire. The analysis of data was completed using PLS-SEM.

This research reveals that cost-effectiveness, relative advantage, top management support, HR readiness, competitive pressure and support from AI vendors positively affect AI technology adoption for talent acquisition. Security and privacy issues negatively influence the adoption of AI technology. It is found that task and technology characteristics influence the task technology fit of AI technology for talent acquisition. Adoption and task technology fit of AI technology influence the actual usage of AI technology for talent acquisition. It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition. The proposed model was empirically validated and revealed the predictors of adoption and actual usage of AI technology for talent acquisition.

This paper provides the predictors of the adoption of AI technology for talent acquisition, which is emerging extensively in the human resource domain. It provides vital insights to the human resource managers to benchmark AI technology required for talent acquisition. Marketers can develop their marketing plan considering the factors of adoption. It would help designers to understand the factors of adoption and design the AI technology algorithms and applications for talent acquisition. It contributes to advance the literature of technology adoption by interweaving it with the human resource domain literature on talent acquisition.

This research uniquely validates the model for the adoption of AI technology for talent acquisition using the TOE and TTF framework. It reveals the factors influencing the adoption and actual usage of AI technology for talent acquisition.

Gender diversity, or in-diversity, has long been a problem in the tech industry. Until now, significant gaps and barriers still exist. This paper examines how recruitment practices within the technology sector can contribute to gender inequality and how recruitment practices can be improved to support a gender-diverse organization.

This paper adopted library research and case study as papers' methodologies.

There are many benefits of gender diversity, including better performance, better financial returns, and lower volatility. However, most tech companies do not make diversity a priority, and usually display conscious or unconscious gender biases. Some of the recommendations to overcome this diversity issue are to make diversity a goal, offer unconscious bias training, and expand recruitment efforts.

The findings imply that companies not pursuing a diverse workforce are in danger of experiencing lags in innovation and could be left behind. The findings also show that a technology company can increase the diversity of the company's workforce by applying practices that have already proven to be successful.

This paper confirms that gender parity is not just a social mission nor is gender parity solely a public relations initiative to improve a company's image. Technology companies must be continually innovating to thrive in companies' highly competitive and rapidly changing industry.

This paper aims to attempt to study the adoption of social media technologies in the process of recruitment and selection process of library professionals and faculty members in India.

Extended Unified Theory of Acceptance and Use of Technology (UTAUT) model was used for the study. Two additional constructs, namely, impact of the position of recruiters and level of education were added for the study. Data were collected from 230 recruiters for the study.

Results of the study highlighted that the hypotheses of UTAUT model were supported. The constructs were performance expectancy, effort expectancy, social influence as well as facilitating conditions that triggered the behavioral intention of recruiters to adopt social media.

Till date, no any study has been carried out on the application of social media in the process of recruitment of faculty members and library professionals.

The purpose of this paper is to further critique diversity management initiatives, underpinned by a “business case/best practice” rationale, drawing on a wider investigation into changing recruitment practices aimed at increasing the gender diversity within information technology, electronics and computing (ITEC) organizations.

Based on the premise that human resource management practices are an essential lever in a diversity management approach this paper revisits organizational accounts of recruitment initiatives adopted, but presented through a more critical lens than in the initial investigation. These accounts were gathered from interviews with human resources (HR) and hiring managers in 18 organizations (12 private, and six public, sector).

These refer to two specific recruitment initiatives introduced with the assumption that these would enable organizations to build a more gender diverse workforce: revisiting job requirements to make them more appealing/accessible to women and the adoption of competency frameworks, assumed to be “gender neutral”.

In providing further insights into the limitations of diversity “business case/best practice” change, supported by accounts of organizational practices drawn from a specific industry sector, it is hoped that this will provide a reflective lens for those in positions to influence policies aimed at addressing issues of gender inequality.

Drawing on the concept of “ideological cover” this paper offers an alternative theoretical lens from which to critique the underpinning rationale and assumptions held about recruitment practices, thus questioning organizational claims that these are “gender neutral”.

The purpose of our study was two-fold: (1) to examine the effect of perceived value derived from perceived benefits and sacrifices in the adoption of artificial intelligence (AI) in talent acquisition and (2) to investigate the moderating role of human resource (HR) readiness in the association between perceived value and AI adoption intention.

A structured questionnaire was administered to 198 talent acquisition executives and HR professionals of Indian IT companies based on a purposive sampling technique. Partial least squares structural equation modeling (PLS-SEM) was used on the Smart PLS 2.0 platform to analyse the data and test the model.

Results revealed that perceived benefits and sacrifices significantly predict perceived value which significantly affects the HR professional’s AI adoption intention. The study further found that HR readiness moderates the link between perceived value and the intention of HR professionals to adopt AI in the talent acquisition process in the Indian IT industry.

IT companies are advised to continuously monitor and evaluate the performance of AI tools to ensure that they are meeting the recruitment process needs to leverage AI’s benefits in talent acquisition. This study seeks to provide the impetus for a planned AI adoption in talent acquisition.

This research provides ample evidence for the existing technology adoption theories. It explored the predictors of adoption by validating the value-based adoption model in the Indian context. It provides valuable insights into the practice of acquiring talents in the IT sector using artificial intelligence.