Labor Shortage Research Articles

Producing ‘The Right Candidate’: The Social Embeddedness of Labour Market Intermediaries for Migrant Workers in the Belgian Construction Sector

Structural labour shortages have increased demand for skilled and documented migrant workers in Western European labour markets. In response, private recruitment agencies are playing a more significant role in the identification, placement and integration of migrant workers. While the literature on labour intermediation practices has largely focused on the commercial and contractual work of matching workers with employers, this article develops an embedded understanding of labour intermediation that foregrounds the increasingly social and relational nature of intermediation practices in contexts of labour shortage. Through a qualitative study of intermediation in the Belgian construction sector, the article demonstrates the ways in which private agencies seek to produce the ‘right candidate’ through (i) the infiltration of migrant networks, (ii) the regularisation of migrant workers and (iii) the facilitation of their integration into host societies. These findings advance an expanded understanding of labour intermediation that transcends the conventional matchmaking process.

The impact of employee satisfaction on company's labour investment efficiency

This study examines the impact of employee satisfaction on company's labour investment efficiency (CLIE) using a sample of 2,333 company-year observations associated with 302 companies listed in the UK between 2008 and 2020. Arguments based on human relations theory suggest that satisfied employees are likely to be motived to exert greater efforts and exhibit lower turnover, thereby reducing employer's exposure to labour market frictions. In contrast, agency theory argues that satisfied employees may become entrenched and thus harm organisational outcomes, including CLIE. We measure satisfaction with employers across our sample companies using 164,341 employees' ratings posted on Glassdoor UK. We observe a positive impact of employee satisfaction on CLIE, demonstrating the validity of underlying human relations theory for the present business context characterised by labour shortages. We also find the positive impact of employee satisfaction on CLIE to be stronger for companies with higher labour intensity, more reliance on skilled labour, and more competitive industry environments. Our study contributes to research investigating the determinants of efficient investment in workforce. We also demonstrate the informational value of employee' online reviews for understanding a company's performance, particularly in assessing the efficiency of its employment decisions.

The impact of eHealth use on general practice workload in the pre-COVID-19 era: a systematic review

BackgroundIn recent years, eHealth has received much attention as an opportunity to increase efficiency within healthcare organizations. Adoption of eHealth might consequently help to solve perceived health workforce challenges, including labor shortages and increasing workloads among primary care professionals, who serve as the first point of contact for healthcare in many countries.The purpose of this systematic review was to investigate the impact of general eHealth use and specific eHealth services use on general practice workload in the pre-COVID-19 era.MethodsThe databases of CINAHL, Cochrane, Embase, IEEE Xplore, Medline ALL, PsycINFO, Web of Science, and Google Scholar were searched, using combinations of keywords including ‘eHealth’, ‘workload’, and ‘general practice’. Data extraction and quality assessment of the included studies were independently performed by at least two reviewers. Publications were included for the period 2010 – 2020, before the start of the COVID-19 pandemic.ResultsIn total, 208 studies describing the impact of eHealth services use on general practice workload were identified. We found that two eHealth services were mainly investigated within this context, namely electronic health records and digital communication services, and that the largest share of the included studies used a qualitative study design. Overall, a small majority of the studies found that eHealth led to an increase in general practice workload. However, results differed between the various types of eHealth services, as a large share of the studies also reported a reduction or no change in workload.ConclusionsThe impact of eHealth services use on general practice workload is ambiguous. While a small majority of the effects indicated that eHealth increased workload in general practice, a large share of the effects also showed that eHealth use reduced workload or had no impact. These results do not imply a definitive conclusion, which underscores the need for further explanatory research. Various factors, including the study setting, system design, and the phase of implementation, may influence this impact and should be taken into account when general practices adopt new eHealth services.Study registration numberPROSPERO (International Prospective Register of Systematic Reviews) CRD42020199897; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=199897.

The Early Prediction of Kimchi Cabbage Heights Using Drone Imagery and the Long Short-Term Memory (LSTM) Model

Accurate and timely crop growth prediction is crucial for efficient farm management and food security, particularly given challenges like labor shortages and climate change. This study presents a novel method for the early prediction of Kimchi cabbage heights using drone imagery and a long short-term memory (LSTM) model. High-resolution drone images were used to generate a canopy height model (CHM) for estimating plant heights at various growth stages. Missing height data were interpolated using a logistic growth curve, and an LSTM model was trained on this time series data to predict the final height at harvest well before the actual harvest date. The model trained on data from 44 days after planting (DAPs) demonstrated the highest accuracy (R2 = 0.83, MAE = 2.48 cm, and RMSE = 3.26 cm). Color-coded maps visualizing the predicted Kimchi cabbage heights revealed distinct growth patterns between different soil types, highlighting the model’s potential for site-specific management. Considering the trade-off between accuracy and prediction timing, the model trained on DAP 36 data (MAE = 2.77 cm) was deemed most suitable for practical applications, enabling timely interventions in cultivation management. This research demonstrates the feasibility and effectiveness of integrating drone imagery, logistic growth curves, and LSTM models for the early and accurate prediction of Kimchi cabbage heights, facilitating data-driven decision-making in precision agriculture for improved crop management and yield optimization.

Encuesta a las empresas españolas sobre la evolución de su actividad: tercer trimestre de 2024

Rationale The Banco de España Business Activity Survey (EBAE) provides highly valuable, real-time information on the turnover, employment and costs and prices of a broad sample of Spanish firms. This information is particularly helpful for diagnosing current economic developments. Takeaways • Firms have perceived a decline in their turnover in 2024 Q3, albeit of a smaller magnitude than those recorded in the third quarter of the previous two years. • Inflationary pressures have continued to ease in Q3, in terms of the cost of inputs and selling prices and labour costs. • The negative impact of economic policy uncertainty, labour shortages and rising energy costs remains high, although the proportion of firms affected by factors related to access to financing and growing interest expense has declined.

Path planning of manure-robot cleaners using grid-based reinforcement learning

The use of a robot cleaner for manure removal improves housing conditions for dairy cows in the face of labor shortages. However, current robot cleaners follow programmed fixed routes without considering the dynamic behaviors of cows. This cleaning approach is less efficient and leads to more cow-robot encounters or collisions, thus affecting animal welfare. To address these issues, this paper (1) developed heatmap models for cow locations and defecation behaviors; (2) proposed a dynamic path planning approach for the manure robot cleaner using Grid-based Reinforcement Learning; (3) incorporated cow location information and defecation behavior into the path planning process; (4) compared the performance of the proposed approach with two different cleaning methods: the current fixed programmed cleaning in practice and the ideal path produced by simulated annealing for traveling salesman problem. The simulations mimic the situation in a barn at Dairy Campus of Wageningen Livestock Research located in Leeuwarden (the Netherlands). Obviously, the best performance was achieved when the route was executed without cows present, resulting in no cow-robot collision. However, with cows present, the proposed dynamic path planning strategy achieved a 67.6% reduction in cow-robot encounters while maintaining 85.4% of the cleaning performance compared to the current programmed fixed routes. Compared to the ideal path produced by simulated annealing for traveling salesman problem, the proposed dynamic path planning approach achieved 5% better cleaning performance, at the cost of 25% more cow-robot encounters due to its longer working path. We conclude the proposed grid-based Reinforcement Learning solution for manure robots in barns cleaned most efficient with the least interference with cow traffic.

Comparative Study on Cost Analysis of Mechanical and Manual Transplanting of Rice

In Telangana, rice cultivation predominantly relies on traditional manual transplanting, which requires a significant labor force. However, the migration of agricultural laborers to urban areas in search of better wages has led to a shortage of workers, particularly during the critical transplanting season. To address this labor shortage and reduce cultivation costs, an efficient and cost-effective method of rice transplanting is essential, without compromising grain yield. To explore such a solution, Krishi Vigyan Kendra in Jammikunta, Karimnagar district, conducted 30 frontline demonstrations between 2018-19 and 2020-21, showcasing rice cultivation using a self-propelled, walk-behind six-row mechanical transplanter. The performance of this mechanical method was evaluated by collecting data on various growth parameters, including plant height, number of productive tillers per hill, panicle length, grains per panicle, and grain yield, and comparing it with traditional manual transplanting. Economic analysis revealed that the gross returns from mechanical transplanting were Rs. 135,956, compared to Rs. 128,629 for manual transplanting. Similarly, the net returns for mechanical and manual methods were Rs. 95,106 and Rs. 82,204, respectively. The benefit-cost ratio was found to be 3.32 for mechanical transplanting and 2.77 for manual transplanting. These findings indicate that mechanical rice transplanting offers a viable, cost-effective alternative, reducing labor requirements and drudgery while delivering higher yields.

Balancing family and career for female physicians in Germany: insights from asurvey of female urologists

The shortage of skilled labor in medicine is one of the most pressing challenges in healthcare. The increasing number of women in medicine, particularly in the field of urology, raises questions about the compatibility of family and career, especially concerning the work environment and working time models. The aim of this study is to capture the impact of motherhood on the professional lives of female physicians and scientists in the field of urology in Germany. Specific challenges in this surgical specialty and the compatibility of family and career will be highlighted. The working group "Female Physicians and Scientists in Urology" of the German Society of Urology (DGU) surveyed its 1343female members regarding demographic data, professional status, and aspects of work-life balance. Among 487female urologists in Germany, 53.4% had children. Mothers tended to be older, less frequently in training, less often in inpatient settings, and less frequently engaged in surgical activities. Notably, the proportion of full-time working mothers (36.2%) was significantly lower compared to female urologists without children (92.4%). Among female urologists with children, 32.3% reported having changed their workplace because of their children, while 10.7% indicated that their responsibilities had changed at least once after pregnancy. Additionally, 76.9% of mothers had reduced their weekly working hours due to family commitments. Multivariate analysis showed an influence of motherhood on professional status and parttime work. The fact that starting afamily for women in urology in Germany is associated with areduction in working hours and the end of clinical careers suggests aneed for optimizing the compatibility of family and career in Germany. The increasing feminization of the medical profession exacerbates the existing shortage of skilled workers due to the exit of mothers from professional life. To meet the needs of working parents, particularly mothers, urgent adjustments in the work environment are necessary. Promoting flexible working time models and creating supportive conditions are crucial to preventing the loss of skilled professionals and maintaining job satisfaction in this field.

Concept of flexible no-code automation for complex sample preparation procedures

Driven by demographic changes and dwindling Science Technology Engineering Mathematics enrolments, our research introduces no-code automation as a strategic response, aimed at mitigating labor shortages while enhancing productivity and safety in the laboratory environment. Employing a user-friendly, no-code software platform, we automated a complex HPTLC assay, enabling laboratory personnel to configure and modify workflows without requiring specialized programming skills. The manuscript outlines the deployment of a collaborative robot (cobot), a programmable logic controller (PLC), and the utilization of self-developed open-source hardware components to establish automated stations for sample handling, incubation, spraying, detection, and storage within the assay process. The research addresses challenges such as the handling of fragile HPTLC plates and the seamless integration of automated stations, solved through innovative design solutions and adaptive programming methods. This investigation demonstrates the feasibility and efficiency of no-code automation in overcoming skilled labor deficits.

How do online meal delivery platforms impact restaurant employees?

ABSTRACT Labor shortages in restaurants have led to an increased reliability on technology, including expanding restaurants’ capacity by using online meal delivery platforms (OMDPs) for delivery. Yet there is an incomplete understanding as to how this decision has impacted restaurant employees, namely, is it making the labor shortage worse? To answer this question, this study surveyed 279 front-of-house and back-of-house restaurant employees to understand how attitudes toward OMPDs effect job crafting, job satisfaction, and turnover intentions. The results were analyzed with PLS-SEM and a qualitative analysis was used as a sensitivity test. Drawing on conservation of resources and job demand resources theories, this study found that pre-established attitudes toward OMDPs mediated the relationship between the impact of OMPDs and workload on job crafting, job satisfaction, and turnover intentions. These results fill the current gap in the literature related to OMDPs and restaurant employees as well as providing crucial evidence that managing employee attitudes toward OMDPs can mitigate the impact of an increased workload for restaurateurs during this challenging time.

Assessing cost and cost savings of teleconsultation in long-term care facilities: a time-driven activity-based costing analysis within a value-based healthcare framework

BackgroundQuebec’s healthcare system faces significant challenges due to labour shortage, particularly in long-term care facilities (CHSLDs). The aging population and increasing demand for services compound this issue. Teleconsultation presents a promising solution to mitigate labour shortage, especially in small CHSLDs outside urban centers. This study aims to evaluate the cost and cost savings associated with teleconsultation in CHSLDs, utilizing the Time-Driven Activity-Based Costing (TDABC) model within the framework of Value-Based Healthcare (VBHC).MethodsThis study focuses on CHSLDs with fewer than 50 beds in remote regions of Quebec, where teleconsultation for nighttime nursing care was implemented. Time and cost data were collected from three CHSLDs over varying periods. The TDABC model, aligned with VBHC principles, was applied through five steps, including process mapping, estimating activity times, calculating resource costs, and determining total costs.ResultsTeleconsultation increased the cost per minute for nursing care compared to traditional care, attributed to additional tasks during remote consultations and potential technical challenges. However, cost savings were realized due to reduced need for onsite nursing staff during non-eventful nights. Overall, substantial savings were observed over the project duration, aligning with VBHC’s focus on delivering high-value healthcare.ConclusionsThis study contributes both theoretically and practically by demonstrating the application of TDABC within the VBHC framework in CHSLDs. The findings support the cost savings from the use of teleconsultation in small CHSLDs. Further research should explore the long-term sustainability and scalability of teleconsultation across different CHSLD sizes and settings within the VBHC context to ensure high-value healthcare delivery.

A review of the future transport labour market: An EU approach

Mobility and transportation are a fundamental cornerstone of societies. They cannot be performed without a specific and varied workforce that keep all modes functioning. However, the transport sector currently faces many challenges including volatile high energy prices, labour and skills shortages, harsh working conditions, an ageing work force, and many labour relations’ issues. There are also deep and widespread market changes to confront in relation to automation and digitalisation, the move towards greener, cleaner technologies and sustainability. The risk of unemployment for certain jobs is evident. Transport workers and transport undertakings are thus confronted with the very challenging landscape to decarbonise the sector but also to address social sustainability and remain competitive in a fast-changing environment. This study makes use of a systematic review to analyse the main challenges that the land transport sector faces. This paper informs policy makers and relevant stakeholders on the current trends; highlights challenges and opportunities for transport workers and provides recommendations to help achieve that will result in a digital and fair, ethical, just, and green transition not only for the transport sector but also for the society as a whole.

On the prevalence and intensity of labour shortages

Survey-based indicators of labour shortages are often based on the number of respondents that experience a shortage, overlooking the crucial element of shortage intensity. Using data from a large representative business survey in Sweden, this paper constructs an establishment-level measure of labour shortage intensity, by considering the number of positions in shortage and total employment at the establishment. According to the data, the average intensity of labour shortages has decreased by 32% since 2007. A new aggregate indicator of relative labour shortages (RLS) that accounts for both the average intensity and prevalence of labour shortages indicated more subdued labour market conditions in Sweden during the recovery from the Great Recession and the COVID-19 pandemic than other indicators. Failing to account for the decline in the intensity of labour shortages mostly affects labour shortages in industry and less in services sectors.

Navigating Challenges in the Palm Oil Industry: Sime Darby Plantation’s Strategic Response to the COVID-19 Pandemic

This paper explores the impact of the COVID- 19 pandemic on Sime Darby Plantation Berhad (SDP), the world's largest producer of certified sustainable palm oil (CSPO). With a significant reliance on foreign labor, SDP faced substantial challenges due to border closures and movement restrictions imposed during the pandemic. The analysis focuses on the labor shortage, decreased production, and fluctuating global demand for palm oil. It also examines the measures SDP implemented to mitigate these challenges, including enhanced safety protocols, recruitment of local workers, and efforts to reduce dependency on manual labor through increased automation and mechanization. The evaluation of these strategies highlights their short-term effectiveness and potential long-term sustainability. The paper concludes by emphasizing the importance of technological innovation in overcoming labor shortages and ensuring SDP's continued growth and leadership in the palm oil industry.

Applications of robot-assisted UV disinfection in dentistry.

Maintaining a microbial-free environment in healthcare facilities is more widely recognized as an essential component of therapies to minimize transmission of viruses associated with healthcare sector. The global spread of COVID-19 and recent outbreaks have presented humanity with previously unheard-of challenges. The development of autonomous disinfection robots seems to be necessary given the urgent need for constant sterilization in the face of a labor shortage. Due to their automated and perceived cost advantages by eliminating cleaning staff, these robots are being advertised more and more as an easy solution to immediately disinfect rooms and operating areas. The use of these services lowers the danger of infection, and expense of traditional cleaning and, most significantly, builds trust and security in medical facilities. Currently, routine (manual) cleaning is not replaced by disinfection robots; rather, they may support it. Additional hospital and device design alterations are necessary to address the overshadowing (visibility) issue allowing Ultraviolet disinfectant (UV-D) robots move freely in the medical environment. More technical developments and clinical studies in a variety of hospitals are needed to overcome the current challenges and find ways to integrate this unique technology into hospitals now and in the future. Thus, we present a review that includes detailing all elements required for it to function, as well as both its advantages and disadvantages. To the best of our knowledge, very limited studies have collected an in- depth data on the sterilization effect using a disinfection robot in the field of dentistry. We believe that this data will work as a foundation in more advanced uses at diverse sites that require disinfection and will highlight unsolved challenges and potential research avenues for UV robot operational concerns in dental hospitals. The goal of this work is to offer a comprehensive manual for UV-D robots covering pertinent information on traditional Ultraviolet germicidal irradiation (UVGI) system along with advancements in UV-D robots and thereby focusing on in-depth application in medical and dental facilities.

The employment, retention and exit of public school teachers in New Brunswick, Canada: an analysis using linked administrative data

ObjectiveAs in many jurisdictions, New Brunswick (Canada) is facing increasing shortages of K-12 school teachers as retirements loom at the same time that the school age population of NB continues to exceed long term trends. The purpose of this retrospective study is to analyze the recruitment, retention and exit decisions of teachers in the NB public education system in order to support ongoing planning around teacher staffing. ApproachThe analysis uses a unique linked administrative data combining province-wide individual-level teacher employment data, immigration records, university graduation data and public health insurance registration on NB teachers and individuals who obtained a B.Ed. degree in NB. Data are accessed through the secure facilities of the NB Institute for Research, Data and Training. The analysis includes both descriptive statistics and econometric methods appropriate to the particular outcomes of interest. ResultsThe analysis will present results on three types of labour market transitions: 1) from NB university education to employment as a NB teacher. 2) exits from employment as a teacher, including both retirement and pre-retirement exits, and 3) decisions of ex-teachers about remaining in NB. The potential effects of a range of demographic, geographic and system-level factors on these outcomes are considered. Conclusions and ImplicationResults from the analysis of entry to and exit from K-12 teaching in NB will be vital to human resource planning for a province dealing with looming retirements, growing labour shortages and an increasing population. Future work will consider subject-specific teacher shortages in critical fields like STEM.

Investing in technology to address labour shortages in UK fresh produce and horticulture: How does this redefine standards of good agricultural practice

The global agri-food sector is becoming more fragile as a result of supply chain shocks like COVID-19, Brexit and conflict, which is posing a growing challenge to the horticultural industry. As a result, it is becoming clearer how crucial seasonal agricultural migrant workers are to ensuring food security. Delivering GAP requires taking into account the effects of COVID-19 and Brexit on the UK’s fresh produce and horticulture sectors as well as the potential for increased demand for automation and Agriculture 4.0. In the medium and long run, the market conditions may favourably accelerate automation and the adoption of Agriculture 4.0 as a workable solution to the workforce shortage. The greatest opportunities for automation and the application of new technology will be found in the transport, harvest, and post-harvest processes. Investment in automation and technology adoption depends on access to finance, appropriate training and upskilling, and other stakeholders’ support (e.g. by retailers). We conclude that understanding the need for automation, embracing Agriculture 4.0, utilising labour schemes, and envisioning how work and farming will change in the future is critical when examining GAP in the context of an integrated approach within the fresh produce and horticulture sectors.

Determinants of Perception, Adaptation Strategy and Measuring Composite Vulnerability of Agricultural Households to Climate Change in the Desert State Rajasthan, India

The study aims to assess agricultural households’ vulnerability, perception and adaptation to climate change in the desert state of Rajasthan, India. A data set of 600 households was collected using a purposive random sampling technique from six districts: Ajmer, Barmer, Jodhpur, Jaipur, Dausa and Tonk. While using the binary logit model, factors affecting the perception and adaptation of agricultural households were assessed, and a composite livelihood vulnerability index was constructed to determine the households’ susceptibility to climate change. The findings suggest that the majority of the households are moderately vulnerable. Of the total households surveyed, 89 per cent of the agricultural households perceive climate change. 83.3 per cent of perceived households used adaptation strategies such as mixed cropping, crop rotation and farm ponds. Socioeconomic variables like the educational status of the household head, farming experience, type of agriculture financial support, agricultural training, land size and access to agricultural institutions influence farmers’ adaptation decisions. Further, lack of information, extension services, access to credit, improved seeds and water, insufficient capital, infertile soil and a labour shortage are barriers to adaptive strategies. Hence, the study recommends effective government policies to enhance credit availability, financial support and agricultural mechanisation for agricultural households. JEL Codes: Q54, Q12, Q18

II. Péter brazil császár szerepe a Brazíliába irányuló szíriai-libanoni bevándorlásban

After the abolition of the institution of slavery in 1888 and the boom in coffee cultivation, a labor shortage emerged in Brazil. The problem was to be solved by the organized resettlement of foreign, primarily European workers. Immigrants willing to work on the coffee plantations were provided with various subsidies by the state. Although only those immigrants engaged in agricultural work on the plantations received government support, this did not mean that the state prohibited spontaneous immigration. Spontaneous immigrants were those who did not arrive in Brazil through recruitment or agency activity and did not receive government support. Such were the Syrian–Lebanese workers who were mainly engaged in commercial rather than agricultural activities. From the second half of the nineteenth century, they left the Ottoman Empire in increasing numbers to try their luck in the Latin American country. The aim of this paper is to prove, relying on primary sources and the results of secondary literature, that even though Syrian-Lebanese immigration to Brazil was spontaneous, Pedro II of Brazil had an important role in encouraging it.

Optimizing Agricultural Mechanization to Enhance The Efficiency and Productivity of Farming In Indonesia: A Review

Agricultural mechanization has emerged as a cornerstone of modernizing the agricultural sector in Indonesia, playing a pivotal role in enhancing productivity and efficiency. The growing population and the necessity for increased agricultural output have driven the adoption of mechanization to overcome challenges such as labor shortages and the adverse effects of climate anomalies. The introduction of agricultural equipment follows a selective principle by considering the local area's socioeconomic conditions. Future agricultural mechanization utilizes technologies based on weather analysis, soil sensor information, and satellite and drone imaging that can increase agricultural productivity. Precision agriculture innovation to improve the accuracy of farm business management is carried out by utilizing sensor systems, drones, remote sensing, digital technology, and the Internet of Things (IoT) to collect, process, and present data that smart farming systems will use. Integrated information system innovations for the supply chain are designed to bridge farmers, distributors, markets, and end buyers by utilizing mobile applications. The traditional to modern transition process and the implementation of smart digital farming require mentoring and field learning in the agricultural process from upstream to downstream. This review provides a comprehensive overview of the development, challenges, opportunities, and prospects of agricultural mechanization in Indonesia, offering insights into how these efforts can support the country's economic growth and food security. Materials were prepared from various sources, including development planning documentation program reports, evaluation, and critical analysis of different research results.