Large Workforce Research Articles

Pengaruh Pengetahuan Kewirausahaan dan Self Efficacy Terhadap Kesiapan Berwirausaha pada Mahasiswa di Kota Sukabumi

In the context of globalization which is currently very strong, the availability of a large workforce but the number of jobs and employment opportunities is small is the main factor causing employment problems, including unemployment. Every individual has the same goal, namely having optimal work readiness, which will influence positive work results for the success of their business. That way each individual will achieve the desired goal. The aim of this research is to determine the description of entrepreneurial knowledge, self-efficacy and entrepreneurial readiness among students in Sukabumi City. The sampling technique in this research used purposive sampling, the samples taken in this research were 300 students. Based on the research results, it shows that there is a positive and significant influence between entrepreneurial knowledge and self-efficacy on entrepreneurial readiness.

“We want to get out” – A qualitative study on reasons for nurses’ early retirement intentions

Abstract Background Nurses, the largest workforce in healthcare, play a central role in health systems. There is a severe global shortage of nurses, which is expected to worsen as a significant portion approaches retirement age. Early retirements can harm care quality and healthcare access, thus significantly impacting public health. Identifying reasons is crucial to prevent this trend. This study examined factors behind nurses’ early retirement intentions. Methods A descriptive qualitative study was conducted in an Irish hospital (July to September 2023) including individual interviews with 10 nurses aged 55 and over. A thematic analysis was conducted collaboratively by three researchers to identify key factors influencing nurses’ intentions to retire early. Results Five main themes emerged: 1) Health concerns, encompassing physical strain and psychological stress, significantly influencing early retirement intentions; 2) Struggling to balance job demands with personal responsibilities such as caring for ageing parents due to inflexible work schedules; 3) Need for more support from senior leaders to address staffing shortages and investment in aging nurses’ career and retirement planning to make staying more desirable and easier; 4) Feelings about nurses’ experience being undervalued in the evolving healthcare; and 5) Facing constant heavy responsibility in guiding new nurses, while simultaneously fearing patient safety risks and encountering generational differences. Conclusions Developing support systems for ageing nurses, encompassing strategies to ease workload strain, enhancing career opportunities, and promoting intergenerational collaboration are critical for reducing early retirement trends and sustaining a resilient healthcare workforce. By implementing tailored approaches, such as flexible scheduling and mentorship programs for ageing nurses, healthcare organisations can promote workforce longevity and enhance public health outcomes through improved care delivery. Key messages • Health challenges and struggles in work-life balance influence early retirement intentions among nurses, urging flexible work arrangements and improved recognition and leadership in healthcare. • To extend work careers, organisations must invest in ageing nurses’ career and retirement planning, value experience, and acknowledge potential challenges and benefits in intergenerational nursing.

SOCIODEMOGRAPHIC DISPARITIES IN CORONARY ARTERY CALCIUM SCREENING

ObjectivesThis study aimed to compare the demographic features and socioeconomic status of patients who underwent coronary artery calcium screening to that of their local population. BackgroundCoronary artery calcium scores provide important evidence of subclinical atherosclerosis. However, insurance often does not cover coronary artery calcium testing, which could exclude people of lower socioeconomic status. MethodsDemographic and occupational data were obtained for all patients referred for coronary artery calcium in a metropolitan area between October 2010 and August 2023. Household income and population reference information were taken from US Census Data and matched to zip code and regional metropolitan area. ResultsCoronary artery calcium tests were performed on 627 patients with a median age of 63 years and equal gender representation (52% female, 48% male). Patients were predominately White (77%) and English-speaking (98%), which is incongruent with local demographic data (p<0.001). Healthcare workers were the largest workforce (22%), followed by people involved in education (12%), which is higher than the local healthcare workforce of 10% (p<0.001). Those with graduate/professional degrees accounted for 32% of patients, significantly more than the local population (p<0.001). The average median annual income ($94,116) of patients who underwent CAC testing was greater than that of the metropolitan median income of $81,264 (p <0.001). ConclusionThe disproportionate distribution of coronary artery calcium screening favoring educated, affluent, White English speakers indicates that higher-income and healthcare personnel are more likely to receive testing. Disparities in coronary artery calcium testing, especially in minorities and non-English speaking individuals, should be further explored.

A Study on The Relationship between Coaching Styles towards Work Engagement in Artificial Intelligence Industries

An organisation with a large workforce from a variety of backgrounds collaborates on various projects with different groups of individuals in order to achieve specific goals. Employers who develop coaching relationships with staff members may create high-quality results. According to this viewpoint, an employee who is receiving excellent training or coaching will be able to interact with the tasks assigned successfully in order to meet the organisational aim. The objective of this study is to examine how managerial coaching, executive coaching, and group coaching relate to work engagement in artificial intelligence during the COVID-19 season. It is obvious that the best coaching methods, including managerial coaching, executive coaching, and group coaching, will boost employee involvement, excitement, drive, and motivation while producing great results. 110 personnel of the artificial intelligence business are involved in this study. For data gathering in this study, a survey was used as a quantitative method. In order to analyse the data for this study, Pearson's correlation coefficient and the Statistical Package for the Social Science (SPPS) version 29.0 were both employed. The findings indicated that executive coaching has a high mean average of 3.96 and a significant link (r=0.856, p=0.01) between executive coaching and work engagement. Despite the study's shortcomings, the empirical findings contribute to our understanding of job engagement and purpose in public organisations. Consequently, training is essential in an organisation.

Managing risk concerns with ordered backlogs in the semiconductor industry: An empirical study

Today, the semiconductor industry is integral to the functionality of many critical goods and processes that are highly valued. The increasing demand across various semiconductor-related industries has correspondingly amplified the risks faced by firms within this sector. In this study, we empirically explore the potential of ordered backlogs as a means to mitigate the risks confronting semiconductor firms. Utilizing a dataset comprising publicly traded semiconductor firms in the USA, over a duration from 1998 to 2021, we quantitatively validate our hypotheses. Our findings reveal that a substantial volume of ordered backlogs is indeed correlated to a diminished level of firm risk. However, it is important to note that this risk-mitigating effect is lessened as the marketing and research intensities of these firms escalate. Moreover, we observe that the advantageous impact of ordered backlogs in risk reduction is more subdued in large workforce firms, whereas the presence of a sizable top management team aids in lessening the impact of ordered backlogs on risk. These managerial insights are invaluable in advancing both theoretical understanding and managerial practices within the realm of the semiconductor industry.

Shadow Economy: Determinants and Its Impact on Foreign Direct Investment

The shadow economy poses a significant threat to government revenue and the effectiveness of economic policies. This paper investigates the causes of the shadow economy and its influence on foreign direct investment (FDI). Our study employs the currency demand approach, a component of the indirect method, to identify the determinants of the shadow economy in a dataset covering 105 countries from 2001 to 2017. These countries are categorized into four income groups: high-income, upper-middle-income, lower-middle-income, and low-income. Parameter estimation is conducted using the Generalized Method of Moments (GMM) model, with robustness tests incorporating reference estimates from Partial Least Squares (PLS) and Fixed Effects Model (FEM). Our findings indicate that a higher GDP and lower interest rates are associated with reduced shadow economy activity. Elevated market interest rates increase the cost of funds in the informal sector, discouraging engagement in shadow economic activities due to reduced profitability. Furthermore, higher tax revenues correlate with intensified regulatory enforcement, increasing the risks associated with shadow economy involvement. A larger workforce and lower unemployment rates similarly diminish shadow economy activity. In the context of foreign direct investment (FDI), the shadow economy positively affects FDI flows when formal institutions, including legal frameworks, property rights protection, and regulatory systems, are either weak or overly burdensome. In such scenarios, economic actors may opt for informal channels like the shadow economy, offering a flexible and cost-effective alternative to the formal sector, a crucial consideration for foreign investors.

Understanding Factors Motivating Generation Z with Application of Maslow’s Theory of Motivation

Generation Z or digital natives is a fast growing workforce. As they are in born in the era of technological advancement, there lifestyle, thinking patterns, values are varied from previous generations. As they will be the largest workforce in near future, it becomes the point of concern that motivates them for their work. Understanding factors of their motivation is important as it help the organizations in there management effectively. This articles attempts to understand motivational factors among Generation Z which drives them to work using the framework of Abraham Maslow’ theory of motivation. Article is based on secondary research using qualitative data and using descriptive method of research. Key findings of the study are that Generation Z looks for work life balance, meaningful work and supportive environment as their basic motivational factors. There other driving forces are financial security, positive work environment, team bonding, open communication, reward and recognition and learning and development. Recommendation for future managers is that they should keep these factors into consideration while managing Generation Z for their effective management.

Precarious labour geographies of working holiday makers: querying sustainability

The boundaries between tourism and migration are blurry. This blurring has been beneficial for the governments of wealthy countries enabling them to import a large and flexible temporary workforce that can be directed toward regions and industries where there are labour shortages. Such is the case with the Australian Working Holiday Program (AWHP); a historically tourism-focused cultural exchange program that began in 1975. Since the 1990s, the Australian Government has leveraged the AWHP to support several of Australia’s critical industries. This has been achieved through the tweaking of mobility infrastructures that link Working Holiday Makers’ (WHMs) ability to stay in Australia to employment conditions. Such conditions increase precarity among WHMs, directing them towards remote regions and industries where there are evident labour shortages. While these mobility infrastructures significantly benefit Australia’s economy, they result in WHMs being highly vulnerable to exploitation. Such vulnerability is layered with WHMs from less wealthy, non-English-speaking countries facing the highest levels of vulnerability. This study investigates the way mobility infrastructures in the AWHP influence WHMs’ mobilities, as well as how such mobilities are experienced in uneven and unjust ways. There is urgency to interrogate the role that such programs play in contributing to unjust mobilities, and to query the attendant implications for sustainability.

Global kidney health priorities-perspectives from the ISN-GKHA.

Kidney diseases have become a global epidemic with significant public health impact. Chronic kidney disease (CKD) is set to become the fifth largest cause of death by 2040, with major impacts on low-resource countries. This review is based on a recent report of the International Society of Nephrology Global Kidney Health Atlas (ISN-GKHA) which uncovered gaps in key vehicles of kidney care delivery assessed using World Health Organization building blocks for health systems (financing, services delivery, workforce, access to essential medicines, health information systems and leadership/governance). High-income countries had more centres for kidney replacement therapies (KRT), higher KRT access, higher allocation of public funds to KRT, larger workforces, more health information systems, and higher government recognition of CKD and KRT as health priorities than low-income nations. Evidence identified from the current ISN-GKHA initiative should serve as template for generating and advancing policies and partnerships to address the global burden of kidney disease. The results provide opportunities for kidney health policymakers, nephrology leaders and organizations to initiate consultations to identify strategies for improving care delivery and access in equitable, resource-sensitive manners. Policies to increase use of public funding for kidney care, lower the cost of KRT and increase workforces should be a high priority in low-resource nations, while strategies that expand access to kidney care and maintain current status of care should be prioritized in high-income countries. In all countries, the perspectives of people with CKD should be exhaustively explored to identify core kidney care priorities.

Monitoring and analysis of physical activity and health conditions based on smart wearable devices

The rapid growth of the Internet of Things (IoT) brings sweeping changes in various industries. Healthcare industries have become a prime example where the Internet of Healthcare Things (IoHT) is making significant progress, particularly in how we approach real-time patient care. Traditional systems for monitoring older people and people with special needs are frequently expensive, require a large workforce, and fall short of providing real-time data. This paper introduces the “3-Tier Health Care Architecture,” an integrated approach to mitigating these issues. This architecture capitalizes on IoHT technologies and is constructed around three principal tiers: Sensor, Fog, and Cloud. The Sensor Tier employs Health Metrics Acquisition Units (HMAUs) fitted with an nRF5340 Development Kit, capturing an extensive range of health-related metrics via wearable sensors. These metrics are then relayed to the Local Processing Units (LPUs) in Fog Tier, which operates on Raspberry Pi Zero 2 W microprocessors for the initial data processing before forwarding to the cloud. The Cloud Tier uses a hybrid CNN-LSTM Machine Learning (ML) model to perform Real-Time Healthcare Monitoring (RTHM) status assessments and includes an Early Warning System for immediate alert issuance. The proposed architecture is resilient, scalable, and efficient, serving as a fortified and all-encompassing solution for RTHM. This enables quick medical interventions, thus elevating healthcare quality and potentially life-saving.

Serum Prestin and Otolin-1 Levels in Pilots of Helicopter-Based Emergency Medical Services: Potential Markers for Ear Injury.

Occupational noise exposure is a major public health concern, impacting a large workforce worldwide. In this study, we sought to evaluate the serum concentrations of prestin, a cochlear protein that diminishes following noise exposure, and otolin-1, a protein secreted into the bloodstream subsequent to inner ear damage, among three diverse professional categories, each exposed to varying degrees of noise. Helicopter emergency medical service (HEMS) pilots and construction workers were considered high-risk groups due to their elevated exposure to occupational noise, whereas office workers were regarded as a low-risk group, reflecting their comparatively minimal noise exposure. The study sample included 60 males, encompassing helicopter pilots, construction laborers, and office workers (n=20, each). Recruitment occurred during standard occupational health visits, with all participants presenting normal clinical audiograms. Serum levels of prestin and otolin-1 were measured in duplicate using commercially available immunoassays and compared across the three professional categories. HEMS pilots had the lowest mean serum prestin level at 211±27 pg/mL, followed by construction workers at 234±29 pg/mL, and office workers at 269±42 pg/mL (p<0.001, one-way analysis of variance), with all inter-group differences statistically significant (p<0.05, Tukey'spost hoctests). For otolin-1, HEMS pilots showed the highest mean at 216±20 pg/mL, with construction workers at 196±22 pg/mL, and office workers at 181±20 pg/mL (p<0.001, one-way analysis of variance). Statistically significant differences were found between HEMS pilots and both other groups for otolin-1 levels (p<0.05, Tukey'spost hoctests), but not between construction workers and office workers. Serum concentrations of prestin and otolin-1 may differ among healthy individuals according to their occupational noise exposure and have the potential to act as indicators of subclinical inner ear injury. To substantiate these preliminary observations, incorporating exposure assessment, especially via direct measurements of noise and vibration exposure, would markedly improve the reliability of our findings.

Assessing the Impact of Population Dynamics in Kenya: A Need for Policy Implementation

Population dynamics significantly influence various aspects of a country’s development, including economic growth, social progress, and environmental sustainability. In Kenya, population dynamics have been a critical factor shaping the country’s development agenda. This abstract aims to assess the impact of population dynamics in Kenya and the need for policy implementation. The relationship between population growth and economic development is complex and multifaceted. While an increasing population may fuel economic growth through a larger workforce, it simultaneously exerts pressure on essential resources and services. This paper examines the trends and implications of population growth in Kenya, a country characterized by a high fertility rate, and assesses its impact on economic dynamics. By analyzing the challenges posed by this demographic trend, the study elucidates the significant influence of population on Kenya's economy. Furthermore, it delves into the strategies implemented by the Kenyan government to mitigate adverse effects and proposes additional measures for sustainable development. Through this investigation, the paper aims to provide a comprehensive understanding of the interplay between population growth and economic stability in Kenya, highlighting the necessity for effective policy interventions.

The Role of Money Waqf towards Empowering MSMEs in Reducing Production Costs

Waqf is one of the instruments that can help economic development in Indonesia. Thus, waqf plays a role in empowering the people's economy through business capital assistance programs for MSME players. Micro, small, and medium enterprises play an important role in developing the economic growth of society. This is because the MSME sector has the potential to contribute the largest GDP, requires a large workforce, and is relatively resistant to economic crises. According to the Ministry of Cooperatives and Small and Medium Enterprises, Indonesia has 64.2 million MSME units. With details of 63.4 million micro-businesses, 783.1 thousand small businesses, and 60.7 thousand medium-sized businesses. However, of the total number of MSMEs in Indonesia, 70.2% of MSME units experience problems in capital or raw material supply. However, Islamic economics is here to solve economic problems through waqf instruments. Waqf has eternal benefits that are universal. Thus, one of the benefits of waqf is that it can be used as business capital for MSMEs. According to BWI, Indonesia has a cash waqf potential of around IDR 180 trillion per year. To realize the potential of waqf, an optimal and professional management system is needed. This study aims to examine the potential of cash waqf in encouraging the community's economy through micro businesses in determining production costs. This research uses a qualitative method using a literature study research design with content analysis. The results of this study conclude that the optimal management and distribution of waqf funds can help micro businesses in reducing production costs.

Gambaran Penerapan Sistem Manajemen Keselamatan dan Kesehatan Kerja RSI Ibnu Sina Simpang Empat Tahun 2023

Hospitals are workplaces that have a large workforce with a high risk of occupational disease or work accidents. Based on interviews conducted at RSI Ibnu Sina Simpang Empat and data reports, there were 6 cases of work accidents in 2022. The research aims to find out an overview of the implementation of the occupational safety and health management system at Ibnu Sina Simpang Empat Islamic Hospital in 2023. The research design uses qualitative methods with descriptive approach. The informants in this research were the K3RS committee, nurses and human resources. The research was carried out by means of in-depth interviews, observation and document review. The research results show that the K3 policy has been issued by the hospital director and K3 experts have been consulted. K3RS planning involves identifying the environment in the field and taking considerations. The implementation of the K3RS plan is guided by Minister of Health Regulation No. 52 of 2018. Monitoring and evaluation of K3RS performance is carried out by the K3RS team once every three months. Reviewing and improving K3RS performance is an evaluation carried out twice a year. It is recommended to hospital management that educational delivery is not only verbal but also in writing and on sheets regarding the delivery of the applicable laws.

Daya Saing Ekspor Ikan Tuna Indonesia di Pasar Global

Revealed Comparative Advantage (RCA) analysis is a key tool in assessing a country's competitiveness compared to others. This study uses RCA to measure Indonesia's comparative advantage in the global tuna market. The calculated RCA values show Indonesia's superiority in tuna production and exports, especially with a focus on fresh or chilled yellowfin tuna (Thunnus albacares) with HS Code 030232. The RCA values for Indonesia, Panama, the Philippines and the Netherlands are 200, 150, 50, 350, and 400, respectively. These results confirm that Indonesia has a comparative advantage in the international tuna market, which is supported by abundant natural resources, a large fishing workforce, and a history of successful tuna exports. Despite this, challenges remain, including overfishing, the impacts of climate change, and illegal, unreported, and unregulated (IUU) fishing. The decline in tuna production in Indonesia demands better fisheries management and international cooperation to address unsustainable practices. The Indonesian government's commitment to conservation is visible in the Tuna, Skipjack and Tuna Fisheries Management Plan. Overall, Indonesia's vibrant tuna export industry, supported by extensive marine resources, a large international market and robust infrastructure, shows significant potential. The government's commitment, combined with ongoing efforts to increase competitiveness through increased productivity, product quality, diversification and global promotion, positions Indonesia to strengthen its role as a major player in the global tuna export market.

Employee investigation and contact tracing program in a pediatric cancer hospital to mitigate the spread of COVID-19 among the workforce, patients, and caregivers.

Case investigations and contact tracing are essential disease control measures used by health departments. Early in the pandemic, they were seen as a key strategy to stop COVID-19 spread. The CDC urged rapid action to scale up and train a large workforce and collaborate across public and private agencies to halt COVID-19 transmission. We developed a program for case investigation and contact tracing that followed CDC and local health guidelines, compliant with the Occupational Safety and Health Administration (OSHA) regulations and tailored to the needs and resources of our institution. Program staff were trained and assessed for competency before joining the program. From March 2020 to May 2021, we performed 838 COVID-19 case investigations, which led to 136 contacts. Most employees reported a known SARS-CoV-2 exposure from the community (n = 435) or household (n = 343). Only seven (5.1%) employees were determined as more likely than not to have SARS-CoV-2 infection related to workplace exposure, and when so, lapses in following the masking recommendations were identified. Between June 2021-February 2022, our program adjusted to the demand of the different waves, particularly omicron, by significantly reducing the amount of data collected. No transmission from employees to patients or caregivers was observed during this period. Prompt implementation of case investigation and contact tracing is possible, and it effectively reduces workplace exposures. This approach can be adapted to suit the specific needs and requirements of various healthcare settings, particularly those serving the most vulnerable patient populations.

Early Detection for Determinant Factor of National Health Insurance Membership for Workers in Central Java Using C4.5 Algorithm

Central Java Province has a membership coverage rate below national coverage. Several data sources up to October 2023 show that NHI participation coverage in Central Java is 93.13%, with 72.72% active participants. The highest type of participation is Contribution Assistance Recipients. A survey of 451 tobacco workers in Central Java found that 55.2% did not have health insurance. This research aims to apply the C4.5 algorithm for the early detection of determinant factors of national health insurance membership for workers in Central Java. Research was done in Central Java districts: Semarang City, Semarang Regency, Jepara Regency, and Kendal Regency. These four districts were chosen because they have the largest workforce in Central Java Province. The total sample was 400, with 100 respondents taken from each city/district. The sampling technique was cluster sampling; two sub-districts were taken from each district—data analysis using the Data Mining 4.5 algorithm. The results show that employment status is the most influential factor in determining someone to become an NHI participant, where fishermen are the group of workers most predicted not to become NHI participants with a gain value of 0.3887. Measurement using RapidMiner software proves that the C4.5 algorithm has an accuracy of 88.93%. At the same time, the AUC curve has a value of 0.941, which, according to Gorunescu, is included in the Superior Classification. The program is expected to prioritize fishermen groups as members of the NHI program.

Assessing Preparedness for Smart Farming and Technology Adoption among Kenyan Farmers

Agriculture is crucial in reducing poverty, promoting economic prosperity, and ensuring food security for the world’s growing population, which is expected to reach 9.7 billion by 2050. This sector is vital to the global economy, contributing significantly to GDP and providing jobs for a large workforce. Precision agriculture and e-commerce advances have proven beneficial, boosting crop yields and rural incomes. Sub-Saharan Africa faces similar agricultural challenges as it anticipates a population of 2.1 billion by 2050. Although the region has made strides in expanding farmland and labour, improvements in crop yields have been limited. The digital revolution offers new opportunities to tackle issues such as undernutrition by improving access to information and technology. In Kenya, with a population projected to reach 95 million by 2050, expanding food production is a pressing challenge. Significant hurdles include declining soil fertility, inadequate water management, and a lack of technical support. While technologies like Wireless Sensor Networks (WSNs) and Machine Learning (ML) have the potential to enhance agricultural productivity, their adoption is constrained by infrastructure issues, high costs, and a shortage of technical expertise. Addressing these barriers and improving farmer education is essential to fully realising these technologies’ benefits.

Competency Assessment Based on Fuzzy Logic and Artificial Intelligence Mechanism: A Study of Competency Assessment Document for the Algerian SEROR Company

Addressing the issue of how automating the quantitative assessment of competencies through a competency assessment document came to remove the assessment process from the descriptive side and an attempt to propose a new model aligned with modern management requirements. Competency assessment is considered one of the most important indicators for managing competencies in organizations, as it offers valuable insights into the strengths and weaknesses of human resources, which is essential for strategic planning. Organizations are actively seeking a cost-effective and accurate system, aiming to minimize the impact of subjective biases in the evaluation process. Additionally, there is a need for a solution that facilitates swift assessment of a large workforce, ultimately reducing overall costs. To meet these requirements, the current study employs Fuzzy Logic and Artificial Intelligence mechanism to develop a contemporary and precise evaluation model. The study, which analyzed competency assessment data from the Algerian SEROR Company, showcased the possibility of creating a sophisticated quantitative model for competency evaluation using Fuzzy Logic and Artificial Intelligence Mechanism. The results imply that the institution has the potential to embrace a cutting-edge and forward-thinking approach, enhancing objectivity, particularly in dealing with complex systems. Developing a quantitative competency evaluation model requires a comprehensive database that includes relevant factors in the evaluation process, encompassing details about each employee’s position, skills, knowledge and experience. The research emphasizes that creating a quantitative model through Fuzzy Logic and Artificial Intelligence Mechanism is highly achievable, with the applied study indicating an 85% success rate for the model.

The Effect of Work-Family Conflict on Turnover Intention for White-Collar Workers: Examining the Mediating Role of Job Stress and Burnout

White-collar workers are a large workforce group that has an impact on organizational performance, as they possess knowledge, skills, and educational backgrounds that are valuable resources for their organizations. The aim of this study is to examine the interplay between work-family conflict and turnover intentions, along with the mediating effects of job stress and burnout within that association. The study collected empirical data from 400 white-collar workers in private organizations in Thailand. The result supported the hypothesized model, where direct effect and indirect effect were tested. The findings of the structural equation modeling (SEM) analysis revealed an association between work-family conflict and turnover intentions, job stress, and burnout, respectively. What’s more, the results indicate that job stress and burnout were associated with turnover intentions. According to the mediation analysis results, job stress appeared to partially mediate the relationship between work-family conflict and turnover intentions. Correspondingly, burnout was found to partially mediate the relationship between work-family conflict and turnover intentions. The findings have theoretical implications which indicate that this framework also supports the majority of white-collar workers in most industries, not only in specific professions. This approach can be beneficial for retaining talented employees within an organization.