Workplace Efficiency Research Articles

Global digital overload: how Snapchat communication cycles influence workplace efficiency

Purpose This paper aims to explore the growing integration of social media, specifically Snapchat, into workplace environments and its impact on communication behaviors, especially among Generation Z and Millennials. The focus is on analyzing how Snapchat’s communication cycles, such as notifications, Snap streaks and best friend rankings, affect workplace efficiency. This study also investigates how cultural variations around connectivity and work-life balance amplify or mitigate these effects in global settings. Design/methodology/approach This research uses social comparison theory and self-determination theory to examine the psychological and social impacts of Snapchat’s features on workplace productivity. Drawing on qualitative and quantitative literature, the paper explores how different cultural contexts influence employees’ interaction with Snapchat during work hours. Theoretical frameworks are applied to understand the cognitive and social disruptions caused by social media, while practical strategies for human resource management are explored. Findings Snapchat’s design fosters continuous user engagement, often leading to fragmented attention and reduced productivity, particularly in work environments. Cultural norms surrounding social media usage and work-life boundaries either intensify or alleviate the disruptive effects of Snapchat. For example, the pressure to maintain social ties amplifies workplace distractions in collectivist cultures. In contrast, individualistic cultures may emphasize productivity over social connection, allowing for more effectively managing these distractions. Originality/value This paper contributes to the growing body of literature on social media’s impact on workplace dynamics by offering a culturally nuanced approach to understanding digital distractions. By focusing on Snapchat, a platform with unique features that encourage habitual interaction, the study provides novel insights into how global human resource strategies can be tailored to different cultural settings. The findings suggest practical solutions for managing digital overload and optimizing employee performance in increasingly interconnected work environments.

Resident performance and program perception following merger of surgical residencies

PurposeThe primary objective of this study was to gauge resident and faculty sentiments surrounding a general surgery program merger between two programs, and to assess the effect on workplace morale and productivity. Secondarily, the authors sought to objectively examine the impact program expansion had on in-service training exam results and operative volumes.MethodsThis was a single-center, prospective, observational study that evaluated surgical resident and faculty feedback pertaining to the merger of two regional general surgery residency programs. The survey utilized the Likert scale at merger onset and post-merger to gather responses from residents and faculty from July 2020 to August 2021. Secondary outcomes evaluated case volume and ABSITE performance pre- and post-merger.ResultsA total of 27 residents and 31 faculty participated in the initial survey. The merger onset and post survey investigation found that there was increased workplace efficiency (78% onset, 96% post; p = 0.004), and increased comfort with effectively triaging patients (41% onset, 83% post; p = 0.001). Satisfaction levels regarding research infrastructure and mentorship also increased significantly (63% onset, 83% post; p = 0.03). ABSITE performance and operative volumes were not significantly changed post-merger.ConclusionThe merging of two academic programs led to feelings of increased mentorship, operative competency, and workplace efficiency among the residents. This was achieved without significant detriment to resident case volume or ABSITE performance. Our investigation also identified legitimate challenges that speak to the need for fluidity in a residency program and the constant need for continued growth and development.

Unravelling Smart HRM 4.0: A Narrative Review of Progressive 4.0 Technology Integration in Human Resource Management

The integration of progressive 4.0 technology into human resource management (HRM) represents a significant shift in how organizations optimize and enhance workforce capabilities. This review explores the origins, applications, benefits, challenges and future prospects surrounding smart HRM 4.0. By reviewing existing literature, this paper examines the utilization of Artificial Intelligence (AI), Big Data analytics, machine learning (ML) and the Internet of Things (IoT) in HRM, specifically in talent acquisition, training, performance management, and rewards. Additionally, it addresses the implementation challenges including data quality assurance, skill shortages, and cultural resistance. The paper also emphasizes the importance of ethical considerations. In terms of future research, it highlights the necessity for ethically deploying Industry 4.0 and establishing robust AI governance frameworks. By combining technological innovation with ethical values, organizations can navigate the complexities of this integration, leading to a future characterized by workplace efficiency, accountability, and fairness.

Pneumatically Actuated Torsion Motor for the Transverse Rehabilitation of the Neck Joint

Work-related musculoskeletal disorders affect a large number of people, diminishing inter alia, their workplace efficiency. For this reason, rehabilitation procedures and equipment are called for, designed to expedite the swift reintegration of patients into daily activity. Within this context, this paper proposes a novel constructive solution of a device that ensures rehabilitation through the transverse passive mobilization of the neck joint. This paper introduces a torsion motor actuated by two pneumatic muscles that ensure sufficient adaptability of the device to, for example, conduct patient exercise within the boundaries of pain supportability. Based on the research results, recommendations are offered for the optimum operation of the rehabilitation equipment.

The Role of Ergonomics in Stress Management

In the modern fast-paced world, stress significantly impacts both individual well-being and workplace efficiency. Ergonomics, the study of designing workspaces to meet users' needs, provides a practical solution to mitigate stress. This paper investigates the connection between ergonomic design and stress management, exploring how workplace factors contribute to stress and how ergonomic improvements can alleviate it. We will examine the physical and psychological effects of poor ergonomics, review strategies for reducing stress through ergonomic design, and highlight the benefits of incorporating ergonomic principles into workplace practices.

Establish an Effective Framework for Accurate Prediction of Employee Mental Health for Public Health

Employee mental health is a primary feature of workplace efficiency and overall public health. With rising mental health problems impaired by variables contains stress, burnout, and isolation, there is an urgent need for effective prediction models that can identify at-risk employees. This study proposes a robust predictive model utilizing dynamic lion optimized VGG16 (DLO-VGG16), for employee mental health prediction represents a significant advancement in public healthcare. The use of these sophisticated prediction models can improve medical results for groups at risk and is essential in the battle against heart disease. Employee’s mental health data collected from Kaggle website. The data preprocessing phase employed Z-score normalization to standardize input values, thereby addressing data inconsistencies and errors. The Sequential Forward Floating Search Algorithm (SFFS) was utilized for extracting the employee’s mental health. This enhanced heuristic search method begins with an empty feature set, incrementally adding features until the optimal set is identified. The proposed DLO-VGG16 framework to balance accuracy, ROC curve, and f1-score ensuring reliable detection and forecasting of employee mental health issues, thereby contributing to the broader public health landscape.

Potential strength and weakness of artificial intelligence integration in emergency radiology: a review of diagnostic utilizations and applications in patient care optimization.

Artificial intelligence (AI) and its recent increasing healthcare integration has created both new opportunities and challenges in the practice of radiology and medical imaging. Recent advancements in AI technology have allowed for more workplace efficiency, higher diagnostic accuracy, and overall improvements in patient care. Limitations of AI such as data imbalances, the unclear nature of AI algorithms, and the challenges in detecting certain diseases make it difficult for its widespread adoption. This review article presents cases involving the use of AI models to diagnose intracranial hemorrhage, spinal fractures, and rib fractures, while discussing how certain factors like, type, location, size, presence of artifacts, calcification, and post-surgical changes, affect AI model performance and accuracy. While the use of artificial intelligence has the potential to improve the practice of emergency radiology, it is important to address its limitations to maximize its advantages while ensuring the safety of patients overall.

Personalizing Human–Robot Workplace Parameters in Human-Centered Manufacturing

This study investigates the relationship between collaborative robot (CR) parameters and worker utilization and system performance in human–robot collaboration (HRC) environments. We investigated whether optimized parameters increase workplace efficiency and whether adapting these parameters to the individual worker improves workplace outcomes. Three experimental scenarios with different CR parameters were analyzed in terms of the setup time, assembly time, finished products, work in process, and worker utilization. The main results show that personalized CR parameters significantly improve efficiency and productivity. The scenario in which CR parameters were tailored to individual workers, balanced the workload, and minimized worker stress, resulting in higher productivity compared to non-people-centric settings. The study shows that personalization reduces cognitive and physical stress, promotes worker well-being, and is consistent with the principles of human-centered manufacturing. Overall, our research supports the adoption of personalized, collaborative workplace parameters, supported by the mathematical model, to optimize employee efficiency and health, contributing to human-centered and efficient HRC environments.

Doing well by doing right: where is practical wisdom in business?

Purpose This study aims to empirically examine the unexplored effects of organizational spirituality on the relationship between knowledge sharing and organizational practical wisdom (phronesis). By integrating these constructs, this study seeks to uncover the mechanisms through which organizations can cultivate practical wisdom and foster a more humanistic approach to management. Contributing in this way aids in the advancement of sustainable and ethical business practices. Drawing upon the theoretical foundations of knowledge dynamics and spirituality in the workplace, this research offers novel insights into the enablers of organizational phronesis. Design/methodology/approach To explore the influence of spirituality on the relationship between knowledge sharing and practical wisdom, a comprehensive study was conducted. An online survey was conducted to collect answers from 365 workers, ensuring a diverse and representative sample. Partial least squares structural equation modeling to test our hypotheses. Findings This research reveals a significant correlation. Knowledge sharing, when supported by spirituality, enhances workplace efficiency and extends its positive impact beyond the workplace. This underscores the importance of embracing organizational spirituality and knowledge sharing to embody organizational phronesis and achieve a humanized strategy. By fostering this, organizations can promote effective decision-making and problem-solving, thereby enhancing their sustainable performance. Originality/value This research breaks new ground by empirically investigating and establishing the previously unexplored effects of knowledge sharing and organizational spirituality on organizational phronesis, thereby contributing to the evolving field of organizational behavior, sustainability and business ethics.

MASTERING THE COMPETITIVE ARENA: DEVELOPING COPING SKILLS FOR SALES REPRESENTATIVES

This paper explores the critical role of coping mechanisms in the daily work life of sales representatives, emphasizing the importance of emotional intelligence and problem-solving strategies. The study demonstrates that utilizing problem-focused coping strategies can significantly enhance both job satisfaction and overall life satisfaction. In contrast, emotion-focused coping is associated with decreased satisfaction and performance. Additionally, the paper highlights the importance of empathy in sales, which facilitates better understanding between salespeople and customers, fostering confidence and trust. Key coping skills identified include stress management, emotional resilience, motivation, time management, problem-solving, and effective communication and negotiation. These skills are essential for maintaining composure, navigating challenges, and achieving success in a competitive sales environment. The paper suggests that organizations can benefit from training programs that enhance these coping skills, creating a supportive work environment that promotes resilience and adaptability among sales teams. The findings underscore that continuous self-reflection and a growth mindset are crucial for the ongoing development and high performance of sales professionals. Ultimately, mastering these coping skills enables sales representatives to thrive, improving organizational processes, workplace efficiency, and customer satisfaction. This study provides a comprehensive framework for understanding and developing effective coping strategies in the sales profession.

Workplace violence, work-related exhaustion, and workplace cognitive failure among nurses: A cross-sectional study.

To examine the relationships between nurses' exposure to workplace violence and self-reports of workplace cognitive failure. A cross-sectional study. An online questionnaire was administered in April 2023 to nurses in Michigan, US. Structural equation modelling was used to examine effects of physical and non-physical workplace violence (occupational stressors) and work efficiency and competence development (occupational protective factors) on workplace cognitive failure. Physical violence was a significant predictor of the action subscale of cognitive failure. There were no direct effects of non-physical violence, workplace efficiency, or competence development on any of the workplace cognitive failure dimensions. Both types of violence and efficiency had significant indirect effects on workplace cognitive failure via work-related exhaustion. Work-related exhaustion predicted significantly higher scores for workplace cognitive failure. Workplace violence and work efficiency exhibited primarily indirect effects on workplace cognitive failure among nurses via work-related exhaustion. Nurses experiencing workplace violence may be at increased risk for workplace cognitive failure, especially if they are also experiencing work-related exhaustion. Workplaces that nurses perceive as more efficient can help to mitigate the effects of violence on nurses' cognitive failure. This study addressed the possible effects of workplace violence as well as work efficiency and competence development on nurses' cognitive failure at work. Analyses revealed primarily indirect effects of workplace violence, and indirect protective effects of work efficiency, on nurses' cognitive failure via work-related exhaustion. This research has implications for healthcare organizations and suggests that efforts made by healthcare workplaces to prevent violence and work-related exhaustion, and to enhance work efficiency, may help to mitigate workplace cognitive failure among nurses. We have followed the STROBE checklist in reporting this study. No Patient or public contribution.

Enhancing Workplace Efficiency and Security Through Intelligent Employee Surveillance

This project aims to develop an innovative system for accurately tracking employees' working hours based on their presence within designated workspace areas, particularly their work cabins. Leveraging advanced technologies such as image annotation, preprocessing, and augmentation, as well as robust object detection models, this study addresses the need for efficient employee surveillance and time management solutions in contemporary workplaces. The methodology involved detailed annotation and enhancement of image data, enabling precise representation of cabin areas and identification of individual employees within images. Subsequently, a state-of-the-art object detection model, YOLOv8, was utilized to train using this annotated dataset, achieving an impressive accuracy of more than 90% in recognizing and tracking employee presence within the specified cabin regions. Through small incremental changes based on previous insights and optimization, the project achieved high levels of accuracy in inferring employees' working hours based on their occupancy within the designated workspace. By differentiating between time spent inside cabins (considered as working time) and time spent outside these areas (considered as non-working time), the system offers an automated and objective approach to time tracking, eliminating the need for manual input or subjective assessments. Future scopes for this research include exploring the integration of additional sensors or data sources to further enhance the accuracy and granularity of employee activity tracking. Additionally, advancements in machine learning algorithms and hardware may enable real-time processing and analysis of surveillance data, leading to more proactive management of employee productivity and well-being. Moreover, the application of this technology could extend beyond traditional office settings to various industries, such as manufacturing, retail, and healthcare, where precise monitoring of employee activities is crucial for optimizing operations and ensuring compliance with regulations. This research underscores the potential of advanced computer vision techniques, particularly YOLOv8, in revolutionizing employee surveillance and time management practices. By providing real-time monitoring capabilities and ensuring compliance with work regulations, this approach holds promise for enhancing workplace productivity, transparency, and accountability.

The Significance of Work Productivity in the Context of Non-Standard Employment

Work productivity holds immense importance for all employers, irrespective of whether they employ traditional or flexible solutions. Most human resource management strategies focus on tools conducive to employee efficiency, thereby enhancing organizational effectiveness and productivity. When exploring various psychological variables relevant to the psychology of work and organizations, popularity and productivity emerge as critical, as productivity correlates with all other psychological dimensions due to the ongoing pursuit of enhancing workplace efficiency. This article presents research findings from a study involving n=2118 non-standard employees.

Flexible delivery by an autonomous robot in a secure building

In industrial settings, autonomous robotic systems have become more common. Companies use autonomous robots to optimise repetitive, time-consuming tasks and improve efficiency. Strategically integrating robots frees up human resources from manual tasks to boost workplace efficiency and productivity. As they pursue Industry 4.0 goals, companies need autonomous robots to meet strict security standards. This depends on preserving confidentiality regarding sensitive information and protecting personnel health and safety. The mobile robot in this experiment aimed to simplify the transportation of standard load carriers, such as plastic boxes used in Kanban storage racks. A controlled lab environment was needed to recreate the robot’s working environment. To streamline delivery, an innovative optical camera and depth vision were added. With this technology configuration, the robot could perform tasks independently. Limiting data retrieval helped the depth camera distinguish conventional boxes. The main project achievement was proving that an autonomous guided vehicle could transport plastic boxes while protecting company data. This method replaced manual part retrieval from secure locations, improving operational efficiency and reinforcing data security.

Evaluating Occupational Health and Safety Risks in the Textile Sector: A Textile Workshop Case Study in Iğdir

The textile industry, known for its labor-intensive nature, often encounters occupational health and safety challenges, impacting both worker welfare and production efficiency. This study conducts a comprehensive risk assessment in a textile workshop in Iğdır, employing the 5x5 matrix method to analyze health and safety risks. The assessment identified potential hazards within workplace operations that could endanger employee health and safety. Notably, small-scale subcontractors in the sector tend to overlook occupational health and safety regulations, leading to inadequate safety protocols. The results indicate high-risk levels (R:20-25) for electrical, emergency response, workplace hygiene, and ergonomic factors, posing significant health risks. However, immediate implementation of appropriate countermeasures can mitigate these risks to acceptable levels (R:2-8). Additionally, risks associated with the thermal comfort conditions in the work environment were assessed at R:15-20, which can also be reduced to tolerable levels through periodic maintenance and targeted investments. Given the sector's labor intensity, it is crucial for both workers and employers to cultivate a strong awareness and understanding of occupational health and safety. Enhancing sector-wide adherence to health and safety standards is essential for safeguarding employee well-being and maintaining workplace efficiency.

Developing a structural model of stakeholders’ behavior toward BIM adoption in construction enterprises

Building Information Modeling (BIM) has been recognized as a potential technology for revolutionizing the design, construction and operational management of projects. Its success depends on the functions and quality of BIM, as well as the needs, behaviors, and attitudes of users. The process of innovation adoption is presented as a series of phases, from initiation to the decision to adopt and the implementation of the innovation. This study develops a comprehensive model based on the innovation adoption process to describe the relationships between the enabling factors and technology use behaviors that address fundamental problems in adopting BIM in construction companies. The proposed model is then evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that there are the interrelationships between the enabling factors. It is also found that economic viability positively affects behavioral intention to use BIM, while economic viability, company business vision, and intention to use BIM positively influence BIM usage behavior. The study findings can be used for organizations in building strategies to improve user readiness and satisfaction, ultimately increasing BIM usage in the future. This research provides a scientific foundation for construction companies to enhance workplace efficiency and promote project commercialization.

A STUDY ON EFFECT OF DISCIPLINARY ACTION TOWARDS LATE DUTY REPORTING WITH THE SPECIAL REFERENCE TO EMPLOYEE PERFORMANCE AT BPL LIMITED, DODDABALLAPUR

This study investigates the relationship between disciplinary actions related to late duty reporting and its impact on employee performance. Timely attendance and duty reporting are crucial aspects of workplace efficiency and productivity. However, instances of late duty reporting have been observed across various organizations, necessitating the need for effective disciplinary measures. This research focuses on understanding how different disciplinary actions, ranging from verbal warnings to written reprimands, suspension, and termination, influence employee behavior and overall performance. The study employs a mixed-methods approach, combining both quantitative and qualitative research methods. Quantitative data is gathered through surveys distributed among employees across different sectors, aiming to gauge the frequency of late duty reporting, the types of disciplinary actions imposed, and the subsequent impact on individual and team performance. The qualitative aspect involves in-depth interviews with managers, supervisors, and HR professionals to obtain insights into the rationale behind chosen disciplinary actions, organizational policies, and perceived outcomes.

Automatic measurement of kidney dimensions in two-dimensional ultrasonography is comparable to expert sonographers.

Length and width measurements of the kidneys aid in the detection and monitoring of structural abnormalities and organ disease. Manual measurement results in intra- and inter-rater variability, is complex and time-consuming, and is fraught with error. We propose an automated approach based on machine learning for quantifying kidney dimensions from two-dimensional (2D) ultrasound images in both native and transplanted kidneys. An nnU-net machine learning model was trained on 514 images to segment the kidney capsule in standard longitudinal and transverse views. Two expert sonographers and three medical students manually measured the maximal kidney length and width in 132 ultrasound cines. The segmentation algorithm was then applied to the same cines, region fitting was performed, and the maximum kidney length and width were measured. Additionally, single kidney volume for 16 patients was estimated using either manual or automatic measurements. The experts resulted in length of [95% CI: 80.0, 89.6] and a width of [49.9, 53.7]. The algorithm resulted a length of [81.5, 91.1] and a width of [43.6, 50.6]. Experts, novices, and the algorithm did not statistically significant differ from one another (). Bland-Altman analysis showed the algorithm produced a mean difference of 2.6mm (SD = 1.2) from experts, compared to novices who had a mean difference of 3.7mm (SD = 2.9mm). For volumes, mean absolute difference was 47mL (31%) consistent with error in all three dimensions. This pilot study demonstrates the feasibility of an automatic tool to measure in vivo kidney biometrics of length, width, and volume from standard 2D ultrasound views with comparable accuracy and reproducibility to expert sonographers. Such a tool may enhance workplace efficiency, assist novices, and aid in tracking disease progression.

Impact Of Intrinsic & Extrinsic Rewards On The Performance Of Employees Of Private Sector Banks In Delhi NCR: A Pragmatic Study

The performance of employees in private sector banks in Delhi NCR is influenced by both intrinsic and extrinsic rewards. Intrinsic rewards refer to the internal, non-monetary factors that motivate employees, such as job satisfaction, a sense of accomplishment, and personal growth. These rewards encourage employees to perform well, complete tasks effectively, and experience positive emotions in the workplace. The analysis is being done to assess the impact of extrinsic and intrinsic rewards on the outcomes of a worker. According to the findings of the study, there exists a considerable association among both the of rewards & outcomes of the worker. The intrinsic incentive, which is non-monetary in nature, pushes the employee to work well in order to finish that task effectively in the organisation and continue to feel happy emotions. Financial extrinsic incentives can lead to good behavioural changes and assist increase workplace efficiency. Employee performance is undoubtedly very important to the organisation. Employees are critical to an organization's profitability, efficiency, and eventually, success, since these outcomes will not occur without exceptional employee performance.

ID: 222733 The Influence of Human Transcription Errors on Surgical Scheduling

Retrospective studies examining errors within a surgical scheduling setting do not fully represent the effects of human error involved in transcribing critical patient data. These errors can negatively impact patient care and reduce workplace efficiency, due to insurance claim denials and potential sentinel events. Previous reports underscore the high burdens physicians face associated with prior authorizations as it may lead to serious adverse events in patients or the abandonment of treatment due to these delays (1). This study simulates scheduling to examine the error rate of experienced schedulers when transcribing forms.