Performance Of Workers Research Articles

Pengaruh Motivasi Disiplin Kerja Terhadap Kinerja Pegawai Rutan Kelas 1 Makassar

The purpose of this study is to know the effects of both motivation and discipline on employees' performance in the makassar class. Data collection is carried out by a distribution of questionnaires with a total of 64 sample respondents and by using a quantitative descriptive approach. Hence, the data analysis used is a statistical analysis in the form of multiple linear regression tests. The study suggests that both partial and simultaneous motivational and disciplined variables have a positive effect on a worker's performance in the makassar class 1 community. This is verified from simultaneous tests (f tests) and partial tests (t), which also indicate the significant value of the two free variables that support a hypothesis. Hence a test from the study suggested that there was a simultaneous effect between motivational variables and job discipline on the performance of the makassar class 1 correctional worker.

The impact of coworking spaces on workers' performance, mental and physical health: A scoping review.

Utilisation of coworking spaces (CWS) was rising sharply prior to the COVID-19 pandemic. The transition to new work arrangements which involve a hybrid, work and home model, is likely to involve the use of alternative workspaces. Understanding the impacts of CWS on employees is timely to examine the benefits of utilisation and how these might be incorporated into new ways of working. This scoping review aims to explore the relationship between CWS, mental and physical health, and workers' performance, and provide insights into future considerations for design. The main objective was to map the current literature on CWS, focusing on identification of relevant modifiable factors to improve worker's mental and physical health, and performance. Three databases, Embase, PsycInfo, and Proquest, were systematically reviewed, to identify studies from 2005 onwards. Data was extracted and analysed using diagrammatic mapping. Only studies published in English were included. Eleven relevant papers were included which covered the three outcomes of interest: worker's performance (5), mental health (4) and physical health (2). Environmental factors influencing the three outcomes were categorised into physical environment (12 factors) and the psychosocial environment (6 factors). Overall, CWS environmental factors had a positive influence on workers (23 positive relationships and 11 negative relationships). Coworking spaces offer potential benefits for tele-workers, including opportunities for collaboration/networking and productivity gains. However, attention to the CWS physical design is important to optimise the experience for workers and mitigate risk of adverse mental and physical health effects.

Pengaruh Flexibel Working Arrangement dan Work Life Balance terhadap Kinerja Karyawan pada PT Chahra Sidoarjo

The background of the phenomenon in this thesis is the phenomenon of setting flexible working hours which makes employees negligent in using working hours so that this results in high levels of absenteeism due to not being able to balance work and personal life thereby reducing a worker's performance. The aim of this research is to determine the impact of flexible work. The Impact of Work-Life Balance and Organization on Employee Performance. PT Chahra Event Sidoarjo is the subject of this investigation. Quantitative research is the type used. PT. Chahra Event Sidoarjo personnel constitute the research population. In this research, 55 respondents were sampled. The sampling method uses saturated sampling. Both primary and secondary data sources were used to obtain data for this investigation. The relevance of flexible work arrangements (2.906) and work-life balance is demonstrated by the t test finding (3.842) greater than 2.006 so that it partially influences employee performance. Regression analysis shows that flexible working arrangements (0.300) and work-life balance (0.397) improve employee performance. Work-life balance is the variable that has the most influence on employee performance, according to test findings using the t test. It is recommended that further research combine other characteristics, such as job satisfaction and organizational commitment.
 
 Keyword : Flexible Working Arrangements, Work Life Balance, Employee Performance

I am my own boss: effect of self-leadership on gig worker's work engagement and performance

PurposeThis study investigates the relationship between self-leadership and the work performance of gig workers as moderated by perceived organizational support and mediated by work engagement.Design/methodology/approachLinear regression and the Process macro by Hayes were used to examine the hypothesized model, on a data set of 384 gig workers.FindingsThe outcomes indicated a positive relationship between the self-leadership strategies of the freelancers and their work performance. The association of self-leadership and work performance was moderated by perceived organizational support and partially mediated by work engagement.Originality/valueThis study responds to the need for exploration of the moderation and mediating mechanisms through which self-leadership influences how gig workers perform at work.

Aluminum exposure and cognitive performance: A meta-analysis

BackgroundAluminum is increasingly used in various industrial processes due to its beneficial properties. Occupational exposure to aluminum, however, has been linked to several adverse health effects. The impact of occupational aluminum exposure on worker's cognitive performance and its contribution in developing neurodegenerative diseases is highly discussed with competing results. MethodWe conducted a literature search via online databases until June 2023. Applicable studies fulfilling inclusion criteria investigating the effects of occupational aluminum exposure on cognitive functions were gathered. Results were aggregated using random effects meta-analysis and the effect size g. We further explored types of publication biases, moderating variables and exposure-effect relationships using meta-regressions. ResultsThe final sample consisted of 18 studies with 87 effect sizes for seven cognitive functions. We found significant worse performances in workers occupationally exposed to aluminum regarding processing speed, working memory, attention, and reaction time after exclusion of outliers. Additionally, we found increased blood plasma aluminum significantly predicting decreased cognitive performance in exposed workers. ConclusionOur results show decreased performance levels in processing speed, working memory, attention and reaction time in workers occupationally exposed to aluminum compared to controls. Furthermore, we found that aluminum in blood plasma was the only biomarker as significant predictor of cognitive performance. We discuss recommendations for further research in relation to occupational health and safety. Finally, we extend the discourse between occupational aluminum exposure and development of neurodegenerative diseases like Alzheimer's disease.

The gender gap in performance reviews

Performance reviews are correlated with compensation, promotion, and career decisions in the labor market. Using data from Reflektive, formerly an employee performance management company, I examine gender differences in over 100,000 performance reviews for 170 companies across 12 different industries. I find that women rate their performance lower than men, and these differences persist when accounting for external manager and peer reviews of the worker's performance. The gender gap in how women versus men rate themselves as compared to their managers persists across different types of industries, firms, reviewers, and workers, highlighting the generalizability of the results. These findings may have implications for self-promotion in other high-stakes labor market settings.

The licensing and certification roles of the CPA license in the gig economy

U.S. employers, including the Big Four accounting firms, are increasingly using gig economy platforms to hire accounting labor. One factor that employers may consider when hiring accountants in the gig economy is the CPA license. The CPA license has two potential roles: 1) a licensing role, which enables the license holder to perform exclusive jobs; and 2) a certification role, which signals that the license holder is a high-quality accountant. Although prior research finds that CPAs earn a wage premium in the traditional economy, it is unclear whether this relationship will hold in the gig economy. CPA-privileged jobs may not be available in the gig economy, thereby diminishing the importance of the licensing role. Furthermore, unlike the traditional economy, the gig economy has sophisticated reputational feedback systems that provide detailed information about a worker's prior job performance, which could substitute to some extent for the CPA license as a signal of accountant quality. Using a novel dataset, I find that CPAs earn a wage premium in the gig economy when they and their non-CPA counterparts have no reputational feedback. However, the CPA wage premium diminishes in the presence of reputational feedback and disappears in the presence of negative reputational feedback, indicating that reputation can substitute to some extent for the CPA license as a signal of accountant quality. These results have significant implications for accountants, institutions that issue credentials, and academic research related to licensing, certification, and signaling.

Effects of Job Satisfaction in Employee Engagement Reference in IT Companies at Chennai

Representative engagement is an expansive term utilized by Human Resources of an association to realize worker's performance and their commitment to the vision of the association. A drew in worker knows about association setting, and works with partners to enhance performance inside the job for the advantage of the association. It is an inspirational disposition held by the workers towards the association and its qualities. The association must work to create and encourage engagement, which requires a two-route relationship amongst manager and representative.' Thus, Employee engagement is a pointer that decides the relationship of a man with the association. Engagement is most nearly connected with the current development of job association. Here in this connection the specialist making a study on representative engagement in HCL-B SERVE, one of the main organizations in India and International.

Modelling and prediction of worker task performance using a knowledge-based system application

It is a difficult task for an assembly line manager to select an appropriate worker from the available workers' list to assign to an assembly line workstation. Since each available worker has a unique set of skills and abilities, this research considers the worker differences in their work performance. The worker's work performance is considered based on their working speed or productivity. Task execution time (TET) is the measure used to distinguish the worker's work performance. The TET prediction is made by the application of a knowledge-based system framework. Workers' historical work-time data is used to model the knowledge objects. Workers are classified as skilled and semi-skilled respective methodologies are given for both categories of workers. Statistical-based learning algorithms are proposed for skilled workers based on the worker's age, gender, and work skill. Similarly, worker's learning patterns are used for semi-skilled workers. The predicted TET is used in solving the assembly line worker assignment problem. The second part of this work is to prioritise the aged worker during the worker selection without increment of worker count. The illustrative example helps understand the scope of the proposed methodology in an assembly line worker assignment problem. • A novel method is proposed to model and predict an assembly line worker’ work performance. • Statistical-based learning techniques are used for performance modelling, and Knowledge-based system (KBS) methodology is used for the performance prediction. • The predicted performance can be integrated with the assembly line worker assignment problem. • Lexicographic goal programming is added at the end of the worker assignment problem to prioritise the aged worker during the worker allocation. • The developed framework is helpful for an assembly line manager during worker allocation.

Impact of Real Estate Environment on Knowledge Worker Performance in IT Companies: Evidence from Sri Lanka

Knowledge worker performance is becoming an increasingly important requirement in information technology (IT) firms for its competitiveness. Although employee performance is an extensively researched area, the impact of the real estate environment of office on the performance of employees is still unexploited. The impact of the physical and social workplace on cognition and knowledge sharing by the knowledge worker and its impact on the knowledge worker's performance are hardly discussed in the literature. In this context, this study aims to investigate the relationship between the physical and social workspace setting on the knowledge worker performances in the Information Technology (IT) industry in Sri Lanka. The outcome of the study provides insight to top management of IT companies to confirm how attributes of office real estate environment contributes to knowledge worker performance. The study applied a quantitative approach to explore the impact of the physical and social workspace on the performance of knowledge workers. The study employed a convenience sampling method for collecting data from 185 respondents who worked in IT industry using a self-administered questionnaire. Partial Least Squares Structural Equation Model (PLS –SEM) was used to analyze the data. The findings of the study confirmed that physical workspace support cognitive work and knowledge sharing of a knowledge worker. Physical workspace characteristics have the strongest impact on knowledge sharing than the cognitive work of the knowledge employee. In addition, the analysis confirmed that cognitive work also supports knowledge worker performance. Thus, findings suggest that a review of the physical workspace of the IT organization is an important strategic decision to ensure higher order performance of the IT employees. In summary, the study argued that the physical workspace of the organization seems to play a pivotal role in ensuring the higher performance of the employee via cognition. Thus, this paper contributes to IT company management to think out of the box to ensure an improved physical workspace for better employee performance.

A taxonomy of factors influencing worker's performance in human–robot collaboration

AbstractThe occurrence of human errors significantly affects the performance and economic results of production systems. In this context, Human Reliability Analysis (HRA) methods play a key role in assessing the reliability of a man–machine system. Several HRA methods use Performance‐Shaping Factors (PSFs), that is, all the aspects of human behaviour and environment that can affect human performance, to evaluate the Human Error Probability (HEP). However, despite the greater emphasis given by researchers to define of PSFs in recent years, the changes caused by the new enabling technologies implemented in manufacturing systems and derived from the Industry 4.0 paradigm have not yet been fully explored. Focussing on Human–Robot Collaboration (HRC) in production systems, the authors aim to define a PSF taxonomy that is useful for HEP evaluations in collaborative environments. To the best of the authors' knowledge, HRA approaches have not been investigated yet for HRC applications. The proposed taxonomy, which results from the integration of the most significant factors impacting workers' performance in HRC into the PSFs provided by an HRA method, can represent an important contribution for researchers and practitioners towards improving HRA methods and their applications in the context of Industry 4.0.

Requirements to Design Sustainable Functional Clothing for Low-Risk Security in National Projects

Egypt is witnessing national development in all sectors through several national projects "Egyptian Vision 2030". National projects aim to invest the available resources, provide job opportunities, and attract investment. They also consider the dimensions of sustainability, which represent unprecedented, civilized development. It is noted that many private organizations such as schools and commercial malls rely on the use of private security to guard these organizations, which is low-risk private security. Studies proved that wearing clothes that are inappropriate for the job requirements of low-risk security, especially in hot and humid climates (such as the environmental and climatic conditions in Egypt) causes great physiological pressures on workers and leads to cognitive impairment and a feeling of fatigue and discomfort, which results in a decrease in the worker's job performance, especially when increasing the working hours. In this context, the research aims to study the requirements to design sustainable functional clothing for low-risk security in national projects, considering the Egyptian tendency in achieving sustainability standards in national projects by proposing designs for security clothing for low-risk organizations in national projects. A survey was conducted through personal interviews that included 26 low-risk private security personnel in private organizations such as schools and commercial malls, to determine the functional and aesthetic requirements to reach the highest job performance. Based on the results of the survey, a set of designs for low-risk private security were proposed to be in line with the Egyptian environment and climatic conditions considering the dimensions of sustainability. A questionnaire was used for specialists containing 17 phrases divided into four axes to measure the suitability of the proposed designs to the required performance by achieving the axes and objectives of the research. (SPSS) program version 27 was used to analyze the statistical results and arrange the proposed designs according to the achievement of the research axes and objectives. The order of designs according to the opinions of specialists was the seventh, then the fifth, then the third, then the first, then the second, then the fourth, then the eighth, then the sixth design. By asking specialists about the best color combinations that suit the chosen designs for functional clothing to low-risk private security, the preferences were for the color group that expressed light blue for the shirt and navy for both the jacket and pants. Based on the statistical analysis of the results of the specialists' responses, the best designs that obtained the highest results in achieving the research axes and objectives were implemented, and the color group that received the highest acceptance rate among specialists was used.

An Efficient Algorithm for the Berth and Quay Crane Assignments Considering Operator Performance in Container Terminal Using Particle Swarm Model

In the existing literature, the berthing operations, the quay crane assignments, and the scheduling problems were usually conducted without considering the worker performances (WPs) and the yard truck tasks (YTTs). However, professionals in situ corroborate the crucial effect of WPs and the yard YTTs on quay crane performance and efficiency. This study introduced a new feasible model for investigating the berth and the quay crane assignments based on the scheduling problem, including worker performances and yard truck deployment constraints. First, a mixed-integer programming (MIP) model is implemented to reduce the vessel’s departure time. Then, a particle swarm optimization (PSO) algorithm is introduced to solve the problems. The Dar es Salaam port is selected as a case study to test the proposed model with a real-time dataset that was collected from a multinational company managing container terminals. The results show the efficiency and the accuracy of the proposed model. The PSO algorithm is 86% and 62% more time-saving than MILP and T2S solutions for a small number of containers, respectively. Additionally, the PSO solution is 73% and 53% time-saving for a medium number of containers than MILP and T2S models, respectively. Finally, the present study proposes consideration of the worker assignment and the yard truck deployment during the planning phase.

Evaluation of community health worker's performance at home-based newborn assessment supported by mHealth in rural Bangladesh

BackgroundIn low to middle-income countries where home births are common and neonatal postnatal care is limited, community health worker (CHW) home visits can extend the capability of health systems to reach vulnerable newborns in the postnatal period. CHW assessment of newborn danger signs supported by mHealth have the potential to improve the quality of danger sign assessments and reduce CHW training requirements. We aim to estimate the validity (sensitivity, specificity, positive and negative predictive value) of CHW assessment of newborn infants aided by mHealth compared to physician assessment.MethodsIn this prospective study, ten CHWs received five days of theoretical and hands-on training on the physical assessment of newborns including ten danger signs. CHWs assessed 273 newborn infants for danger signs within 48 h of birth and then consecutively for three days. A physician repeated 20% (n = 148) of the assessments conducted by CHWs. Both CHWs and the physician evaluated newborns for ten danger signs and decided on referral. We used the physician’s danger sign identification and referral decision as the gold standard to validate CHWs’ identification of danger signs and referral decisions.ResultsThe referrals made by the CHWs had high sensitivity (93.3%), specificity (96.2%), and almost perfect agreement (K = 0.80) with the referrals made by the physician. CHW identification of all the danger signs except hypothermia showed moderate to high sensitivity (66.7–100%) compared to physician assessments. All the danger signs assessments except hypothermia showed moderate to high positive predictive value (PPV) (50–100%) and excellent negative predictive value (NPV) (99–100%). Specificity was high (99–100%) for all ten danger signs.ConclusionCHW's identification of neonatal danger signs aided by mHealth showed moderate to high validity in comparison to physician assessments. mHealth platforms may reduce CHW training requirements and while maintaining quality CHW physical assessment performance extending the ability of health systems to provide neonatal postnatal care in low-resource communities.Trial registrationclinicaltrials.gov NCT03933423, January 05, 2019.

Corporate level politics from managers and employees perspective and its impact on employees' job stress and job performance

PurposePerception of organizational politics is one of the key factors of the organization's performance. Based on the principles of Game Theory, this study aims to examine the impact of management's and employee's politics within an organization on the psychological and organizational stress levels of workers, followed by their task and contextual performance.Design/methodology/approachFollowing the non-probability convenience sampling technique, the data was collected from the managerial and non-managerial staff of public, private and semi-government services organizations in Rawalpindi, Islamabad, Lahore, Faisalabad, Gujranwala, Abbottabad and Karachi cities in Pakistan.FindingsThe structural analyses indicate that organizational politics is a major cause of stress among workers and has a significant positive impact on the psychological and organizational stress of workers. Moreover, both organizational politics and job stress hinder workers' performance.Originality/valueThe findings of the current research provide valuable insights into the management of firms about the destructive role of politics with a special focus on psychological and organizational stress, followed by job and contextual performance, particularly in the context of Pakistan. It also proposes strategies to counter this issue, improving worker's performance. Furthermore, the findings also suggest whether management or employees are more involved in organizational politics.

Implementation of Working Agreement with Probationary Period in Financial Industry According to Labor Law

Introduction: This study looks at how to implement a three-month probationary period for probationary employees.Purposes of the Research: The purpose of this study is to examine the working interaction between employees and employers in the financial industry during a employment agreement with a probationary period.Methods of the Research: This study employs a normative legal research approach.Results of the Research: The findings of this study show that a three-month probationary period is insufficient for evaluating a worker's performance. The extension of a probationary period for a worker is prohibited by law. Companies must look for new ways to appraise employee. Probationary periods are more suited to non-management positions than to managerial positions. For managerial level, the probationary term is more than three months. The level of directors is not regulated under labor laws. Labor law does not need to govern work agreements for workers at the managerial level. The parties' agreement can be regulated by the civil law.

Implementasi Algoritma C4.5 dan Simple Additive Weight Untuk Menentukan KPI Karyawan

PT Kreatif Dinamika is the one of Microsoft's partner company that provides industrial solutions that consist of ERP and CRM, Power BI, Office 365 mobile applications and custom solutions. Every year conducts employee performance evaluation for employee who have worked at least one year to get an increase sallary. The primary idea of the Simple Additive Weighting technique is to get the full weighted value of every worker's overall performance on all of the attributes of the evaluation component. The C4.5 is an algorithm that used to create a decision tree. Decision tree is the structure division method and a famous predictions. In addition, after deretmine of weighted value of every attribute, SAW can select the good opportunity for classifications process from many alternatives. There are five standards that used for evaluation, there are Delivery On Time, Delivery on budget, Team Satisfaction, Soft Skill and Project Handled. The application of C4.5 algorithm on information explore in large amount include changed it into decision tree which could represent terms well. In the C4.5 algorithm, the choice of attributes as an evaluation could be very influential in acquiring an accuracy value cost primarily based totally at the outcomes of the ranking

Smart operators: How augmented and virtual technologies are affecting the worker's performance in manufacturing contexts

Purpose: The correct interaction between the workforce and augmented, virtual, and mixed reality technologies represents a crucial aspect of the success of the smart factory. This interaction is, indeed, affected by the variability of human behavior and its reliability, which can strongly influence the quality, safety, and productivity standards. For this reason, this paper aims to provide a clear and complete analysis of the impacts of these technologies on the performance of operators.Design/methodology/approach: A Systematic Literature Review (SLR) was conducted to identify peer-reviewed papers that focused on the implementation of augmented and virtual technologies in manufacturing systems and their effects on human performance.Findings: In total, 61 papers were selected and thoroughly analyzed. The findings of this study reveal that Augmented, Virtual and Mixed Reality can be applied for several applications in manufacturing systems with different types of devices, that involve various advantages and disadvantages. The worker’s performance that are influencing by the use of these technologies are above all time to complete a task, error rate and mental and physical workload. Originality/value: Over the years Augmented, Virtual and Mixed Reality technologies in manufacturing systems have been investigated by researchers. Several studies mostly focused on technological issues, have been conducted. The role of the operator, whose tasks may be influenced positively or negatively by the use of new devices, has been hardly ever analyzed and a deep analysis of human performance affected by these technologies is missing. This study represents a preliminary analysis to fill this gap. The results obtained from the SLR allowed us to develop a conceptual framework that investigates the current state-of-the-art knowledge about the topic and highlights gaps in the current research.

Ergonomic lighting considerations for the home office workplace.

The COVID-19 pandemic has resulted in a large increase in the use of the home office environment. Compared to traditional commercial offices, home offices typically have more variable lighting conditions that can affect the worker's performance and well-being. To review and discuss various lighting sources and their ergonomic impacts on the population of office employees now working from home. Specifically addressing the impacts of electronic light from screens, daylight, and task lighting's impact on health and well-being in the frame of the COVID-19 pandemic. Over 75 ergonomic and lighting literature publications covering various work environments were reviewed, with a focus on the health effects of screen light, daylight, and task light. Resulting from the literature review, design recommendations regarding the safety and health of home office lighting conditions are discussed. As COVID-19 continues to encourage remote working, individuals will be exposed to daylight and screen light in different ways compared to a traditional office environment. The impact of these different lighting conditions should be further studied to understand best design and well-being practices.

PENGARUH KOORDINASI PIMPINAN TERHADAP KINERJA PEGAWAI KECAMATAN KESAMBI KOTA CIREBON

This study aims to sense the excesses of the classification of guidance on the capabilities of workers in Kesambi District, Cirebon City. Coordination is not one particle slack fault in the worker's performance, but added classification is one particle fault that strengthens the worker's capability. The results of the examination show that the average classification of guidance is 4.36, which indicates that the close leadership coordination in Kesambi District, Cirebon City is good. Based on a factual experiment that explores the effect of guiding classification on the ability of workers to reach the estimated effect of Adjusted R square, the coefficient of linear effect plus perspective on life is .055 containing the causes of Leadership Coordination to put excesses on Employee Performance in Kesambi District, Cirebon City. The contribution of the influence is 55%. While the remaining 45% was caused by other causes that were not studied. The t-estimated outlook on life is 1,708 plus Sig's outlook is .094. This sura aims that the outlook t is more likely to be close to the 2009 sequence t and the outlook of Sig is more designed to be near 0.05.