Workforce Productivity Research Articles

A Meta-Analysis of Workforce Diversity and Productivity: A Test of Underlying Mechanisms

A Meta-Analysis of Workforce Diversity and Productivity: A Test of Underlying Mechanisms

The Application of Regression Model on Human Resource Data to Improve Workforce Productivity at STIE Wikara

Penerapan model regresi dalam analisis data sumber daya manusia menjadi pendekatan yang vital dalam meningkatkan produktivitas tenaga kerja di berbagai institusi pendidikan, termasuk di Sekolah Tinggi Ilmu Ekonomi Wikara (STIE). Tujuan penelitian ini adalah untuk menguji apakah manajemen sumber daya manusia berpengaruh terhadap produktivitas tenaga kerja di STIE Wikara. Penelitian ini merupakan penelitian kuantitatif. Penelitian ini dilakukan di STIE Wikara Purwakarta. Populasi penelitian ini adalah seluruh pegawai STIE Wikara Purwakarta yang berjumlah 54 orang yang juga menjadi sampel dalam penelitian ini. Hasil yang diperoleh menunjukkan bahwa manajemen sumber daya manusia berpengaruh terhadap produktivitas kerja. Namun demikian, masih diperlukan penelitian lebih lanjut dengan menambahkan variabel lain untuk memperkuat penelitian ini, serta dengan memfokuskan objek dan subjek yang berbeda dibandingkan dengan penelitian ini.

Economic evaluation of the recent French tobacco control policy: a model-based approach

BackgroundOne in four French adults smoked daily in 2021, compared with one in six in Organisation for Economic Co-operation and Development (OECD) countries. To strengthen its tobacco control policy, in...

The Influence of Motivation, Training and Compensation on Employee Performance

Purpose: This study examines the impact of motivation, training, and compensation on employee performance at the Secretariat of the DPRD of Jayapura Regency. Research Design and Methodology: The research employs a quantitative approach, utilizing surveys and statistical analysis to evaluate the effects of motivation, training, and compensation on employee performance. Data was collected from employees at the Secretariat of the DPRD of Jayapura Regency and analyzed using simultaneous testing methods to determine the significance of each variable. Findings and Discussion: The results indicate that motivation, training, and compensation significantly influence employee performance individually and collectively. These findings highlight the potential for significant improvement in employee performance. Motivation enhances performance by fostering a positive work environment and employee engagement. Training improves performance by developing employee skills and competencies. Compensation boosts performance by providing financial and non-financial rewards that increase employee satisfaction and motivation. These findings underscore the critical role of these factors in organizational success and provide a hopeful outlook for the future. Implications: This study underscores the importance of a comprehensive approach to enhancing employee performance through motivation, training, and compensation. To create a motivated and productive workforce, organizational leaders and managers should focus on supportive leadership, continuous skill development, and fair compensation policies. These strategies can foster a conducive work environment, driving organizational success. Future research should explore these factors in diverse contexts and over extended periods to validate and expand upon these findings.

Driving Workforce Productivity Through Motivation: A Study of Non-Executive Employees in Western Coalfields Ltd., Maharashtra

Driving Workforce Productivity Through Motivation: A Study of Non-Executive Employees in Western Coalfields Ltd., Maharashtra

Stress from Digital Work: Toward a Unified View of Digital Hindrance Stressors

Digital technologies, although enhancing productivity and communication, also contribute to technostress at work. This study addresses the fragmentation in existing models of hindrance technostressors by proposing a unified hierarchical model of digital hindrance stressors tailored to contemporary digital work environments. The research synthesizes various existing models and uses a mixed-methods approach, including a qualitative prestudy and extensive surveys with more than 5,800 participants to identify and validate 12 first-order and 5 second-order digital hindrance stressors. The new model offers both detailed and streamlined measurement tools, enhancing its applicability in diverse organizational contexts. For practitioners and policymakers, this study provides a comprehensive framework to assess and mitigate the adverse impacts of digital stressors. The unified model allows organizations to understand specific stressors their employees face and implement targeted interventions to improve well-being and productivity. By using this model, occupational health professionals can better address the psychological and physical health implications of technostress. Moreover, the findings offer actionable insights for designing digital work environments that minimize stress and foster a healthier, more productive workforce. This research bridges the gap between theoretical technostress models and practical applications, guiding effective strategies for managing digital workplace stress.

Economic Viability of Cutting-Edge Genetic Treatments: Balancing Innovation and Fiscal Sustainability in India's Healthcare Sector

Recent breakthroughs in genetic treatments offer unprecedented opportunities for addressing previously incurable conditions, but their astronomical costs present significant challenges to healthcare systems globally, particularly in developing economies like India. This comprehensive study conducts an in-depth economic analysis of three recently approved genetic treatments, meticulously comparing their long-term financial impacts with traditional care methods in the Indian healthcare context. Utilizing advanced economic modeling techniques and drawing from a diverse array of data sources including clinical studies, real-world evidence, and Indian health databases, we evaluate the treatments' cost-effectiveness, budget impact, and potential for long-term savings over an extended 30-year period. Our findings reveal a complex economic landscape: while these cutting-edge treatments require substantial initial investments, ranging from Rs. 10 crore to Rs. 18 crore per patient, they may offer significant long-term economic benefits in specific scenarios. The study goes beyond mere cost analysis, exploring the broader economic implications of these treatments, including their potential impact on workforce productivity, caregiver burden, and the development of India's biotechnology sector. We propose a comprehensive framework for assessing the economic sustainability of such high-cost treatments, taking into account both immediate budgetary constraints and potential long-term societal benefits. Furthermore, we discuss detailed policy implications for the integration of these treatments into India's healthcare system, emphasizing the need for innovative financing mechanisms, value-based pricing models, and adaptive health technology assessment methods. This research aims to provide policymakers, healthcare providers, and industry stakeholders with crucial insights to navigate the complex intersection of medical innovation and economic sustainability in the rapidly evolving landscape of genetic treatments.

Recommending Career Transitions to Job Seekers Using Earnings Estimates, Skills Similarity, and Occupational Demand

This paper describes a career recommendation algorithm that uses government administrative data to help job seekers discover new careers that similar job seekers have successfully switched to in the past. Algorithm development was motivated by workers and contractors who were displaced by the COVID-19 economic crisis and by workers in declining industries seeking new careers in growing ones. Traditional job boards available through state government websites list all available jobs but do little to remove uncertainty associated with moving to a new industry or occupation. Our recommendation algorithm can lower this uncertainty. It uses causal machine learning techniques and administrative data on the universe of individual-level employment histories and earnings to identify career transitions that have resulted in increased earnings and employment for previous job seekers. We combine these estimates with measures of skill similarity across occupations, derived from natural-language processing of millions of full-text job descriptions, and with occupational demand, as measured by nightly job posting volume. The algorithm parses applicant resumes and returns recommended careers that use similar skills, have available jobs, and are estimated to lead to higher earnings and employment. We have implemented our algorithm in production workforce development systems in five U.S. states.

Digitalization in Logistics for Competitive Excellence

Logistics is presently undergoing a transformative phase driven by rapid digitalization. This trend has spurred an in-depth exploration of the industry's theoretical potential and practical challenges. This comprehensive review focuses on practical applications, delving deeply into the increasing interest in digital technologies within logistics. The primary objective of this study is to conduct a bibliometric analysis to unravel the growth and academic development of the concept of logistic digitalization. The investigation examines academic literature from the Web of Science database spanning 2020-2024. Using VOS Viewer, an intellectual structure and bibliographic analysis are performed on selected articles. The cluster that concentrates on articles about the Internet of Things (IoT) technology and its impact on the logistics economy (the fourth cluster) is most closely related to the digital theme. The study combines theoretical framework, including Michael Porter's and the Resource-Based View, to illustrate the connections that improve business competitiveness. The examination of investments in digital technology sheds light on the logistics sector's experiences during the years when these investments impact labor productivity. Descriptive analysis results suggest that companies implementing technology can achieve a workforce productivity increase of up to 20%, underscoring the significance of technology investments for enhancing business competitiveness. These findings shed light on how various logistics sub-sectors respond to investments in software and computers and the rate at which these technologies influence labor productivity metrics. These empirical findings substantially reinforce the theoretical framework, providing practical implications and emphasizing the critical necessity for logistics firms to integrate digital technologies into their operational frameworks seamlessly. In conclusion, as the logistics landscape hovers on the brink of a digital revolution, businesses must adeptly navigate and wholeheartedly embrace digital solutions to ensure competitiveness.

Neighborhood Sorting, Metros, and Tomorrow's Labor Force

In this Economic Commentary, we look at how households sort into neighborhoods in different metro areas and analyze these patterns by race, ethnicity, and income. We find that in many metros, Black households face a significant tradeoff between a neighborhood's Black population share and its socioeconomic status (SES), with many high-income Black households residing in lower SES neighborhoods than is the case for white households of similar income. A similar pattern exists for Hispanic households. Because a neighborhood's SES correlates with the labor market outcomes of the children who grow up there, these sorting patterns could, over time, act to limit workforce productivity, and individual earnings, by restraining skill acquisition for youth residing in under-resourced areas.

Management Lessons from Ikigai: The Japanese Secret to a Long and Happy Life

The concept of ikigai, which translates to "reason for being," is deeply rooted in Japanese culture and philosophy. Héctor García and Francesc Miralles' book, Ikigai: The Japanese Secret to a Long and Happy Life, explores how the principles of ikigai can be applied to enhance personal fulfilment and longevity. This research paper examines the potential applications of ikigai in the field of management, offering insights into how managers can foster a purpose- driven, engaged, and productive workforce. Through an analysis of the book's key themes, this paper outlines practical strategies for integrating ikigai principles into organizational practices. Key Words: Ikigai, Reason for being, Japanese culture, Longevity, Management, Purpose-driven workforce, Engaged workforce, Productive Workforce “Management Lessons from Ikigai: The Japanese Secret to a Long and Happy Life”

Female Engagement in Asian Workforce: Exploring the Impact of ICT

The labor market in Asian countries has both challenges and opportunities for women to participate in the work force. The aim of this article is to investigate the association of ICT, female education, and fertility with the female labor force participation in 48 Asian countries from 2014 to 2021 in fixed effect model. The results reveal that there is positive and significant association of internet use with female labor force participation, whereas there is a negative relationship between mobile phone usage and female labor force participation which is only significant at ten percent. Similarly, the control variables, GDP and female secondary school enrollment have also positive relationship with female labor force participation. The fertility rate has negative association with female labor force participation. Furthermore, it is found that ICT has significantly affected to female labor participation in Central Asia and South-Eastern Asia. The findings of this article explain that the ICT has increased female labor force participation, their empowerments and returns in the Asian countries. However, it is applicable for the appropriate policies of ICT usage in such a way that it not only increases female labor force participation but also increases the productivity of female workforce. The policy makers should increase the skill-oriented applications in both mobile applications and internet browsers. There should be restrictions on certain applications in the devices which reduce work productivity thereby assuring increase in female labor force participation.

HR Analytics: Leveraging Big Data to Drive Strategic Decision-Making in Human Resource Management

The research paper examines how HR Analytics can be used to leverage big data in making decisions in Human Resource Management (HRM) that lead to a transformation. By collecting, analyzing and interpreting vast amounts of employee data systematically, the HR analytics offers actionable insights for workforce management optimization, productivity enhancement and alignment of human capital with organizational objectives. The study incorporates major theories such as resource-based view and human capital theory, and employs advanced analytical models like regression analysis, logistic regression for turnover prediction and k-means clustering for workforce segmentation. Results show that engagement and training significantly affected performance while effective prediction of turnover was based on metrics of performance and engagement. Clustering shows separate employee groups that promote directed HR strategies. This research highlights the need for data driven HR practices to gain competitive advantage and achieve organizational success. It also emphasizes ethical considerations as well as calls for further research incorporating advanced machine learning techniques, real-time data analytics, and long-term effects of HR Analytics. As a result, this paper presents a solid structure enabling HR practitioners to implement data-driven approaches that enhance an environment of continuous improvement in HRM.

Competence Augmentation Drives Workforce Efficiency

Skill Development refers to the process of acquiring and enhancing competencies, knowledge and abilities that enable workers to perform specific tasks effectively. It helps personnel adapt to changing job requirements with innovation and contributes to organizational success. It facilitates a cycle of high productivity, increased employment opportunities, improved job satisfaction, enhanced adaptability to new technologies, income growth, and development. In this juncture, employee retention rates also uplifted. A healthy working climate viz. openness, trust, and collaboration is indeed need for developing human resources are the responsibilities of every organization. This paper narrates the importance of skill development and the ways and means to increase workforce productivity in the competitive digitalized era.

The effect of COVID-19 anxiety on nurses' productivity determinants through perceived workload and individual job performance: A Bayesian mediation analysis

This study aims to predict how COVID-19 anxiety affects productivity determinants by examining the role of perceived workload and individual job performance as mediators using Bayesian mediation analysis. To achieve the study's objectives, all nurses working at Imam Reza Hospital were recruited to participate. To gather data, all eligible and voluntary nurses were asked to complete questionnaires that included the Corona Disease Anxiety Scale (CDAS), Individual Job Performance Questionnaire (IJPQ), NASA Task Load Index (NASA-TLX), and Workforce Productivity Questionnaire. Of the total number of nurses employed, 222 (126 women and 96 men) nurses fully completed the questionnaires. Out of these, 140 individuals were married and 82 were single. The mean ± standard deviation (SD) of the age and experience were 28.56 ± 5.78 and 8.49 ± 6.50, respectively. GeNIe software version 2.0 utilized to analyze the Bayesian network. The results showed that for the high COVID-19 anxiety and high workload states, with a probability of 100 %, the probability of high evaluation and high environment increased by 16.6 % and 16.3 %, respectively, but low evaluation and low environment decreased by 22.4 % and 22 %, respectively. In the high COVID-19 anxiety and low IJP states with a probability of 100 %, most change was related to the high ability (6 % increase), low evaluation (3.9 % increase), high incentive (3.8 % increase), low ability (4.6 % decrease) and low support (2 % decrease). Regarding COVID-19 anxiety (high 100 %), workload (high 100 %) and IJP (low 100 %), most of the increase was related to high environment and high evaluation by an increase of 17.3 and 17.2 %, respectively. Also, the value of low evaluation and low environment was reduced by 24 and 23.4 %, respectively. The study's findings confirm that nurses have been more productive during the COVID-19 pandemic, despite facing high workloads and the COVID-19 anxiety.

Status and SWOT Analysis of the Internalization of Operations of S Electronics Company, Ltd.

S Electronics Company Ltd. demonstrated a well-defined management structure, agile organizational design, and a commitment to superior customer service, forming the foundation for its global expansion in markets like Vietnam, Thailand, and India. The company's diversified product portfolio, including cutting-edge connectors, strategically positioned it, supported by robust technological development and financial stability. A SWOT analysis highlighted its competitive edge while emphasizing the need to address weaknesses for successful internationalization. Opportunities for market expansion, technological advancements, and financial growth were identified, alongside threats in the global business landscape. Strategic planning leveraged SWOT analysis to enhance strengths, mitigate weaknesses, capitalize on opportunities, and counteract threats. Opportunities offered pathways for market expansion, technological prowess, and overall competitiveness. Threats related to trade policies, exchange rates, intellectual property, cultural disparities, and legal systems underscored international business complexities. Adherence to trade, intellectual property, tax, anti-monopoly, and labor regulations formed a strategic shield against risks, contributing to sustained growth. Prioritizing cultural intelligence ensured effective operations in diverse contexts and maximized global workforce productivity.

Effects Of Lean Manufacturing Practices On Operational Performance

Lean manufacturing is a concept of process improvement in production management which focuses on waste elimination. This paper explores relationships between lean manufacturing practices and operational performance. Using data collected from 55 manufacturing companies in Tasikmalaya city. Lean manufacturing were measured by five dimensions: production flow management, customer focus, process management, workforce management, and supplier management. Operational performance comprises four dimensions: cost, quality, lead-time, and flexibility. The findings are that all dimensions of lean manufacturing are significantly related to on operational performance. Production flow management has a higher level of significance in large enterprises compared with SMEs, whereas for customer focus there is a higher level of significance in SMEs compared with large enterprises. Process management, supplier management and workforce management have much lower level of significance for both SMEs and large enterprises.

Ten-Minute Physical Activity Breaks Improve Attention and Executive Functions in Healthcare Workers.

Occupational health is a major problem in modern work environments. Physical activity breaks (PABs), short exercise periods delivered during working hours, incorporating exergames or outdoor activities, have emerged as a novel approach that could be used to improve work efficiency and workplace wellbeing. Therefore, this study aimed to investigate the impact of PABs on attention levels and executive functions in healthcare workers. A total of 27 healthcare workers (M = 14, W = 13; 49.55 ± 12.46 years), after 4 h of work, randomly performed one of three 10 min conditions weekly in a counterbalanced order: No Physical Activity Break (NPAB); Outdoor Physical Activity Break (OPAB); Physical Activity Break with Exergame (PABEx). After the conditions, executive functions and selective attention were assessed by the Stroop Color and Word Test (SCWT), and the Trail Making A,B test (TMT A,B), respectively. Significant differences between OPAB and NPAB as well as between PABEx and NPAB in the TMT-A test χ2(2) = 44.66 (p < 0.001) and TMT-B test χ2(2) = 48.67 (p < 0.001) were found, respectively. TMT-A and SCWT interference/time scores of the PABEx and OPAB conditions were significantly lower than those of NPAB (p < 0.001). In the SCWT interference/error score, no significant difference was found between the PABEx and NPAB (p > 0.05), but the score was statistically lower in the OPAB condition than PABEx (p = 0.001) and PABEx condition compared to OPAB for TMT-A (p = 0.001). Findings showed that the OPAB and PABEx conditions are effective in improving selective attention and executive functions in healthcare workers. Employers can foster a healthier and more productive workforce by promoting a culture of movement and prioritizing employee health, which in turn can enhance patient care outcomes.

Regional Dynamics and Economic Sustainability of Mariculture Firms in Portugal: A Financial Performance Analysis

This study provides a comprehensive analysis of the financial performance of aquaculture firms in Portugal from 2013 to 2022, considering regional, age, and size dynamics. Using financial data from the ORBIS database, key performance indicators are calculated to assess the industry’s economic sustainability, regional disparities, and firm-level effects. The analysis reveals insights into the resilience of aquaculture firms in navigating economic challenges, such as the COVID-19 pandemic, and highlights the importance of tailored policy interventions to support regional development and industry competitiveness. Age trends show the influence of industry experience on financial performance, with older firms demonstrating higher turnover and profitability. Size trends indicate the advantages of economies of scale for larger firms, while smaller firms exhibit agility and innovation. This study contributes to the understanding of aquaculture economics in Portugal, providing valuable implications for policymakers, industry stakeholders, and aquaculture firms. By considering regional, age, and size dynamics, stakeholders can develop comprehensive strategies to enhance the sector’s long-term sustainability and resilience in an increasingly dynamic market environment. Recommendations are provided for policymakers to support regions with lower performance metrics, enhance infrastructure development, and promote workforce productivity to foster balanced economic growth across the aquaculture sector in Portugal.

Enhancing U.S. workforce productivity through strategic data automation: Key insights and implications

The review explores how strategic data automation can enhance workforce productivity in the U.S., providing key insights and implications for organizations. As businesses increasingly rely on data-driven decision-making, the role of automation in streamlining processes and improving efficiency becomes paramount. This review delves into the potential benefits and challenges of implementing strategic data automation strategies and offers recommendations for organizations looking to enhance their workforce productivity. Strategic data automation has the potential to revolutionize how businesses operate, leading to significant improvements in efficiency and productivity. By automating repetitive tasks and streamlining data processing, organizations can free up valuable time and resources, allowing employees to focus on more strategic and value-added activities. However, the successful implementation of strategic data automation requires careful planning and consideration of various factors, including data security, privacy, and regulatory compliance. Key insights from this review include the importance of aligning data automation initiatives with organizational goals and objectives, as well as the need for ongoing monitoring and evaluation to ensure effectiveness. Additionally, the review explores the implications of strategic data automation for the future of work, highlighting the potential for increased collaboration between humans and machines and the need for new skills and competencies. Overall, this review provides valuable insights into how strategic data automation can enhance workforce productivity in the U.S. It highlights the benefits of automation, such as improved efficiency and reduced costs, while also addressing potential challenges and considerations for organizations. By leveraging the power of strategic data automation, organizations can position themselves for success in an increasingly data-driven world.