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The role of family business staffing practices in their ultimate success remains largely unknown. The purpose of this paper is to test the notion that firms with greater family essence manifest their commitment by leveraging referrals as a recruitment source, which in turn is associated with higher performance. The hypothesized model posits that reduced agency costs from hiring through owner referral utilization (ORU) provide high-family essence firms with stronger performance.

The study draws upon a sample of 194 small and medium-sized family business owners.

Findings from OLS regression and the PROCESS model in SPSS support the hypothesis that recruiting nonfamily employees from referrals helps lessen agency conflicts and serves as an intervening mechanism in the relationship between family firm essence and firm performance.

This study draws on agency theory to shed light on how family firms successfully bring nonfamily employees into the fold despite their human resource limitations. The results extend theory on family businesses by demonstrating that those with higher degrees of family essence are more likely to attract applicants via ORU. Leveraging this recruiting practice allows family businesses to hire nonfamily employees who share the values and goals of the family firm, thus lowering agency costs and fostering higher performance. More broadly, the findings offer insight into the role of staffing practices in family firm success.

This paper aims to examine the prevalence and reasons for delayed discharge from two regional assessment and treatment units (ATUs) for people with learning disabilities, in line with the transforming care agenda.

This is a retrospective evaluation of 44 admissions and discharges from two ATUs from February 2019 to March 2022.

Of 44 admissions who were discharged during the included period, 20 experienced delays in their discharge. Delayed discharges occurred despite the two ATUs meeting standards for length of assessment and treatment as specified by the Learning Disability Professional Senate. The most prevalent reasons for discharge delays were identification of a new placement, recruitment of care staff and building work.

This paper offers an in-depth evaluation of recent delayed discharges from two regional ATUs, highlighting the most common reasons for delays and offering suggestion for reducing delays in future.

The aim of this study is to explore employees’ perceptions of the role of human resources (HR) departments in Jordanian organisations and the reasons behind these perceptions.

Semi-structured interviews were conducted with 23 employees who work at different organisations in various industrial sectors in Jordan.

Employees perceive HR roles as: providing transactional services (traditional); working as business partners to facilitate other departments’ roles (limited). Perceptions of HR professionals and the role of HR departments were generally negative, due to: societal-cultural norms and stereotypes of HR departments and HR professionals; the role of Wasta (a localised form of favouritism) in affecting HR practices; employees’ personal experiences with HR departments and HR professionals at their workplace; and the non-availability of human resources management (HRM) degrees in Jordan.

Limited research has explored varying perceptions about HR departments and their impacts on business contexts in emerging markets, including Jordan. This research is unique as it identifies the reasons behind common misconceptions of HR roles in Jordanian organisations. It extends beyond existing literature by integrating employees’ perceptions of the role of the HR departments to understand the consequences for HR practices’ operational effectiveness. It also pioneers consideration of societal culture in shaping these perceptions, which helps us build theories for future testing and generalisation purposes in other contexts with cultural commonalities. This study also highlights the current state of HRM development in Jordan, which helps in setting the agenda for future research in the country and the Middle East and North Africa region.

The COVID-19 pandemic caused major disruption in community support for vulnerable older people and is thought to have exacerbated existing issues within UK adult social care. This study aims to examine the legacy of that disruption on how meeting centres for people affected by dementia have been impacted in continually evolving circumstances.

Semi-structured interviews and focus group discussions were conducted at three meeting centre case study sites. Ninety-eight participants, including people living with dementia, family carers, staff, volunteers, trustees and external partners, were asked about the impact and legacy of the pandemic upon meeting centres. A thematic analysis was carried out on the data.

Ten themes were identified: ability to re-open venues; increased health decline and loss of members due to isolation; closure or halting of linking services and dementia community support; disruption to diagnosis and referrals; increase in outreach, building communities and overall reach; digital access and use of technology (boom and decline); changes to carer involvement and engagement; continued uncertainty and changes to funding, resources and governance; staff and volunteer recruitment issues; and relief at/wish for return to pre-pandemic norms.

This paper offers new insight into a still-developing situation, namely, the legacy effects of the pandemic upon third-sector community support for people affected by dementia and the health and social care services that support it. The reduction in maintenance of pandemic-era technological innovations is a key finding.

The purpose of this study is to identify the research fronts by analysing highly cited core papers adjusted with the age of a paper in library and information science (LIS) where natural language processing (NLP) is being applied significantly.

By excavating international databases, 3,087 core papers that received at least 5% of the total citations have been identified. By calculating the average mean years of these core papers, and total citations received, a CPT (citation/publication/time) value was calculated in all 20 fronts to understand how a front is relatively receiving greater attention among peers within a course of time. One theme article has been finally identified from each of these 20 fronts.

Bidirectional encoder representations from transformers with CPT value 1.608 followed by sentiment analysis with CPT 1.292 received highest attention in NLP research. Columbia University New York, in terms of University, Journal of the American Medical Informatics Association, in terms of journals, USA followed by People Republic of China, in terms of country and Xu, H., University of Texas, in terms of author are the top in these fronts. It is identified that the NLP applications boost the performance of digital libraries and automated library systems in the digital environment.

Any research fronts that are identified in the findings of this paper may be used as a base for researchers who intended to perform extensive research on NLP.

To the best of the authors’ knowledge, the methodology adopted in this paper is the first of its kind where meta-analysis approach has been used for understanding the research fronts in sub field like NLP for a broad domain like LIS.

Understanding employees’ multi-dimensional motivations is at the core of realizing the potential of a well-designed human resource (HR) system. This study aims to investigate whether the effects of HR practices on employee motivations, and their performance would be dependent on the service orientation of HR department.

The authors collected data in two surveys: a pilot survey and a main survey with a two-wave design. The pilot survey with 93 respondents was to verify the newly developed HR service orientation scale. In the main survey, a total of 276 supervisor-subordinate pairs from 48 companies were valid for analysis.

The authors find support for their hypothesis that promotion-oriented motivation mediates the relationship between discretionary HR practices and employee outcomes [in-role performance and organizational citizenship behavior (OCB)]. Furthermore, the indirect effect of discretionary HR practices on employee outcomes is stronger when the HR service orientation is higher. Transactional HR practices, however, are not evidenced to relate to employee prevention-focused motivation and outcomes.

The findings illustrate a comprehensive process of HR practices on employees’ multi-dimensional motivations. High service skills of HR professionals in handling internal employees’ needs could amplify employees’ promotion-focused motives, which in turn increase their in-role performance and OCB.

In sum, the authors' study contributes to both human resource management (HRM) and employee motivation literature by demonstrating the different impacts of discretionary and transactional HR practices on employees’ motivations. In addition, by revealing HR service orientation as an important contingency factor, the authors shed greater light on when and how HR practices can motivate employees.

The Further Education and Training (FET) sector is being positioned as a centrepiece of the government's post-pandemic recovery. However, issues of capacity and staff churn are threatening the potential success of this strategy. Unfortunately, there has been almost no strategic analysis of teacher churn in the English FET system or of the derivative issues of recruitment and retention, both of which jeopardise the sector's capacity to deliver high-quality teaching and improve workforce skills. This paper examines these issues for policymakers and sector leaders and makes suggestions on how these can be redressed. A call for a more joined-up FET sector is presented.

This is a follow-up paper to a report published by the Education and Training Foundation in 2022 on teacher recruitment in the English FET sector. This paper pulls together all of the most recent research on the English FET sector on teacher recruitment and retention and frames these against the DfE's Skills for Jobs policy commitments. It also analyses a number of proposed solutions, reflecting on their merits and potential consequences.

An updated profile of FET institutions within the college, private training and adult subsectors is offered, showing how the FET sector in England has been in steady decline, which is juxtaposed against the rhetoric of industrial productivity and economic renewal. Four variables, namely funding, institutional numbers, staffing and learner numbers are examined to explore this disparity. A more in-depth analysis of recruitment and retention research follows, showing that pay, job insecurity and status are the factors influencing the decision to start an FET career. Strategies for remedying the “crisis” are assessed, including the role of national campaigns and professional bodies.

The first point for any research programme is to draw together the research data and themes that have been previously discussed in order to build a platform for future investigation, which is what this paper does. There are clear steers on where future research might be located: staff well-being, professional status, recruitment methods and what is meant by an FET career. These are factors that affect the desirability of FET work and the sector's ability to recruit high-quality candidates. The consequences of not doing this research is the likely continuation of the status quo, which is unsustainable for the FET sector and potentially catastrophic to UK productivity.

Policymakers and sector leaders are presented with analysis and advice on the impact of teacher shortages and the factors that contribute to this. The evidence to support these factors is explored and solutions discussed in light of this evidence. A research agenda is suggested including an appeal for professional organisations and FET stakeholders to work together to solve the recruitment and retention crisis. The power of research to enlighten and inform is one of several conclusions proposed.

Addressing the factors that corrode staff professionalism and increase teacher attrition is an essential component of a wider discourse to improve the desirability of an FET career. Issues of status and esteem are interwoven in this analysis, as are the implications of not recruiting talented teachers and assessors. This includes staff well-being – a rare topic in FET journal papers – as well as organisational culture and importance of the FET mission, which is considered to be embedded in an ethic of public service. This mission is linked via the Augur Report to the sector's transformational properties to raise social mobility.

There is no precedent for this paper. It is the first article that has provided a comprehensive examination of teacher recruitment and retention issues affecting the whole FET sector in England. Whilst its comparative analysis builds on the Education and Training Foundation (2022) earlier report, it uniquely draws on other contemporary research that triangulates and discusses these findings, including setting out a new agenda for change and future research. In doing so, new issues are introduced for discussion including professional status and staff well-being.

This study aims to establish an assessment model to measure big data readiness in the public sector, specifically targeting local governments at the provincial and city/regency levels. Additionally, the study aims to gain valuable insights into the readiness of selected local governments in Indonesia by using the established assessment model.

This study uses a mixed-method approach, using focus group discussions (FGDs), surveys and exploratory factor analysis (EFA) to establish the assessment model. The FGDs involve gathering perspectives on readiness variables from experts in academia, government and practice, whereas the survey collects data from a sample of selected local governments using a questionnaire developed based on the variables obtained in FGDs. The EFA is used on survey data to condense the variables into a smaller set of dimensions or factors. Ultimately, the assessment model is applied to evaluate the level of big data readiness among the selected Indonesian local governments.

FGDs identify 32 essential variables for evaluating the readiness of local governments to adopt big data. Subsequently, EFA reduces this number by five and organizes the remaining variables into four factors: big data strategy, policy and collaboration, infrastructure and human resources and data collection and utilization. The application of the assessment model reveals that the overall readiness for big data in the selected local governments is primarily moderate, with those in the Java cluster displaying higher readiness. In addition, the data collection and utilization factor achieves the highest score among the four factors.

This study offers an assessment model for evaluating big data readiness within local governments by combining perspectives from big data experts in academia, government and practice.

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.

Staffing is one of the most influential human resource (HR) activities and is the primary method of hiring and retaining human resources. Among staffing’s several activities, recruitment and selection are one of the most crucial activities. It is possible to rehire former firm employees using the talent management strategy known as “boomerang recruitment”. The boomerang recruitment trend has tremendously grown because many employees who believe they are qualified for the position now wish to return to their old employers. According to data, boomerang employees can be 50% less expensive than conventional ways of hiring. The purpose of this study is to identify the generic critical factors that play a role in the boomerang hiring process based on the literature review. Next, the objective is to determine the relative weight of each of these factors, rank the candidates, and develop a decision-making model for boomerang recruitment.

This paper focuses on the grey-based multicriteria decision-making (MCDM) methodology for recruiting some of the best candidates out of a few who worked for the organization earlier. The grey theory yields adequate findings despite sparse data or significant factor variability. Like MCDM, the grey methods also incorporate experts' opinions for evaluation. Furthermore, sensitivity analysis is also done to show the robustness of the suggested methodology.

Seven (7) recruitment criteria for boomerang employees were identified and validated based on the opinions of industry experts. Using these recruitment criteria, three candidates emerged as the top three and created a pool out of six. In addition, this study finds that Criteria 1 (C1), the employee's past performance, is the most significant predictor among all other criteria in boomerang hiring.

Since the weights and ratings of attributes and alternatives in MCDM methods are primarily based on expert opinion, a significant difference in expert opinions (caused by differences in their knowledge and qualifications) may impact the values of the grey possibility degree. However, enough attention was taken while selecting the experts for this study regarding their expertise and subject experience.

The proposed method provides the groundwork for HR management. Managers confronted with recruiting employees who want to rejoin may use this model. According to experts, each attribute is not only generic but also crucial. In addition, because these factors apply to all sectors, they are industry-neutral.

To the best of the authors’ knowledge, this is the first study to apply a grey-based MCDM methodology to the boomerang recruitment model. This study also uses an example to explain the computational intricacies associated with such methods. The proposed system may be reproduced for boomerang recruiting in any sector because the framework is universal and replicable. Furthermore, the framework is expandable to include new criteria for different work.