Top Research Papers on Time Management

The Covid-19 pandemic that swept through the world in late 2019 and through 2020 provides a test not just for all societies and their leadership, but for leadership theory. In a world turned upside down, when many conventions are disposed of, it is clear that things will not return to the status quo ante any time soon, if ever. In the light of these challenges, this short paper suggests we might reconsider the way governments and their leaders act against the frame of societal problems, originally established by Rittell and Webber in 1973. I suggest that all three modes of decision-making (Lea...

It is found that time management is moderately related to job performance, academic achievement, and wellbeing, and the link between time management and gender seems to intensify: women's time management scores have been on the rise for the past few decades.

The origin of TRF/TRE is summarized, starting with concept of circadian rhythms and the role of chronic circadian rhythm disruption in increasing the risk for chronic metabolic diseases.

Advice on prevention of adrenal crisis during the global COVID-19 crisis is provided, a time with frequently restricted access to the usual level of healthcare and the need for education, equipment, equipment and empowerment to prevent adrenal crises is highlighted.

Purpose This study aims to explore the role General Managers (GMs) play in mitigating the effects of the unprecedented COVID-19 pandemic. Design/methodology/approach Qualitative structured interviews conducted online with 50 hospitality GMs from 45 countries are used to explore the impact of the pandemic on the industry’s operational norms and the role of managers in both managing the crisis and planning contingencies for recovery. Findings The findings enhance the conceptual capital in this emerging field and provide insights on how GMs behave during crises. Four related sub-themes emerged fr...

Three key competencies paramount to public managers in times of crisis are identified: managing stakeholders, political masters, and collaborative networks.

Purpose The purpose of this paper is to explain the problem with how gender is positioned in hospitality and tourism management studies. It recommends critical theories to investigate how gender is researched in the sector’s academic and institutional systems. Design/methodology/approach The conceptual study explains contemporary gender theories and gives examples of relevant hospitality and tourism management studies. A four point critical agenda for researching gender is proposed and justified. Findings The study highlights how the focus on “female leadership” as different from the male norm...

The overall incidence of FAI diagnosis was 54.4 per 100,000 person-years, and it consistently increased between 2000 and 2016, and the utilization of joint preservation operations, including hip arthroscopy, surgical hip dislocation, and anteverting periacetabular osteotomy, increased over time.

Despite its recognized importance for academic success, much of the research investigating time management has proceeded without regard to a comprehensive theoretical model for understanding its connections to students’ engagement, learning, or achievement. Our central argument is that self-regulated learning provides the rich conceptual framework necessary for understanding college students’ time management and for guiding research examining its relationship to their academic success. We advance this larger purpose through four major sections. We begin by describing work supporting the signif...

This article utilized multiple data sources and incorporated innovative methodologies, including machine learning, natural language processing, and qualitative analyses, to identify key service research priorities that are critical to address during these turbulent times.

This research paper presents a pioneering approach to SCM that harnesses cutting-edge technologies, namely Kafka and Akka, to revolutionize data integration and decision-making processes, and demonstrates how the solution enhances supply chain visibility, fosters operational agility, and enables real-time responsiveness to market fluctuations and customer demands.

Children's heavy reliance on screen media has raised serious public health issues since it might harm their cognitive, linguistic, and social-emotional growth. This study examines the effects of screen time on many developmental domains and covers management and limitation techniques for kids' screen usage. Screen media has a wide range of cognitive consequences, with both beneficial and detrimental effects noted. Screens can improve education and learning; however, too much time spent in front of a screen and multitasking with other media has been related to worse executive functioning and ac...

An efficient and scalable analysis framework to process, offline or in real-time, pedestrian tracking data via a sparse graph, representing pedestrian-pedestrian interactions via vector-weighted graph connections is proposed, which can disentangle distance offenders and family members in a privacy-compliant way.

This brief discusses the different approaches by governments during the pandemic to using regulatory management tools, including regulatory impact assessments, stakeholder engagement and ex post evaluation, and how they have ensured robust regulatory oversight when regulating through emergency procedures in response to the COVID-19 crisis. It also examines the long-term challenges for regulatory policy as we emerge from the crisis, with a clear need to improve resilience.

The objective of the system is to allow the water consumer in home to be able to judge the quality of the incoming water and to control it to the required levels and to eliminate the inconvenient and lengthy off line lab analysis of collected water samples.

Purpose The purpose of this paper is to discuss the themes emerging from the first studies exploring accounting, accountability and management practices during the COVID-19 pandemic and coming from a diversity of experiences, across countries, organizations and individuals. In so doing, the paper gives an overview of the most recent findings about the role of accounting and accountability in times of crisis that are hosted in this special issue of Accounting, Auditing and Accountability Journal (AAAJ). Design/methodology/approach The paper draws together and identifies emerging themes related ...

Since the outbreak of the COVID-19 pandemic, countries have concentrated on developing policies that encourage the creation of more innovative products and services in response to the global health emergency. Effective collaboration, communication, and Open Innovation (OI) among government entities, education and research institutions, and the private sector have been critical to each country's overall effectiveness during the economic crisis. The objective of this paper is to examine the relationship between innovation and COVID-19 critically to have a better understanding of future research ...

A novel method to forecast travel time based on big data collected from the industrial IoT infrastructure that separates the global regression tree model based on the gradient boosting decision tree into several partitions to capture the time-varying features simultaneously.

An edge caching and computation management problem that jointly optimizes the service caching, the request scheduling, and the resource allocation strategies is formulated that achieves a close-to-optimal delay performance without relying on any prior knowledge of the future network information.

It is proposed that many patients with type 2 diabetes would benefit from having a primary weight-centric approach to diabetes treatment, as weight loss exerts benefits that extend beyond glycaemic control to improve risk factors for cardiometabolic disease and quality of life.

This work proposed a real-time dynamic optimal energy management (OEM) based on deep reinforcement learning (DRL) algorithm based on a novel policy-based DRL algorithm with continuous state and action spaces, which includes two phases: offline training and online operation.

During a crisis, such as the COVID-19 pandemic, what managers communicate to their employees can greatly impact important organizational attitudes, such as organizational trust. There is, however, very little research focusing on the mechanisms explaining how managers' messages during a crisis can influence employees' organizational trust. To address this gap, the current study examined the role that emotions play in developing organizational trust using a 2 (following CDC norms vs. ignoring CDC norms) by 2 (employee focus vs. bottom-line focus) between-subjects factorial experiment, with COVI...

Timely and accurate assessment of wounds during the wound healing process is key for correct diagnosis and treatment decisions for wound repair. However, traditional wound management strategies often fail to provide timely and accurate information on wound status, thereby delaying or misleading treatments. Smart wound dressings that enable the in situ real-time monitoring of wound-related biomarkers, early diagnosis and on-demand treatment of adverse wound healing events, such as bacterial infection and inflammation, by integrating wearable sensors, advanced drug delivery systems and wireless ...

The findings suggest that active surveillance rates are rising nationally but are still suboptimal, and local variation is high; improving these practice patterns is essential to improve the authors' national prostate cancer outcomes.

The COVID‐19 pandemic has the potential to differentially disadvantage chronically ill patients, including those with Parkinson's disease, and the first health care reaction has been to limit access to clinics and neurology wards to preserve fragile patients with PD from being infected.

The experimental results demonstrate that the NMPC EMS is able to meet the vehicle's energy demand, as well as to operate the FC in its most efficient region, and a comparative study is performed between the proposed NMPC, a linear MPC, and hysteresis band control.

A scheduling scheme to minimise the operating cost of a grid-connected microgrid and demonstrates superior performance in all cases, including when there is uncertainty in prediction, as compared to other energy management approaches, although solutions have significant deviations due to prediction errors.

An artificial neural network (ANN)-based model is investigated for short-term forecasting of the hourly wind speed, solar radiation, and electrical power demand, and the non-linear autoregressive network with exogenous inputs (NARX) ANN is considered, and then selected to perform multi-step-ahead forecasting.

This study examines the effect of key internationalization contingencies on SME survival. We argue early internationalization increases the probability of firm failure, while international experience reduces it. However, the survival odds among international new ventures may be improved by their post-entry international expansion scope and speed, and by managers' competencies. These internationalization facets provide firms with opportunities to develop and exploit their resources and capabilities, and thus enhance their survival chances. Drawing on a sample of 271 manufacturers followed betwe...

Support for all the hypotheses are revealed, and proposed moderators can be used to mitigate the harms of technostress and burnout, and the findings have implications for both theory and practice.

This study provides an exact total cost equation built on an inherent relationship between on-hand inventory and backorder and shows that the total supply chain cost is a convex function of both lead time and variance.

The paper provides the construction of a theoretical model that relates risk management to sustainability management and an operational framework of multidimensional risk assessment useful for analysis at different levels (business, competitive scenario and system).

A sizing method of the hybrid energy storage system for a fuel cell hybrid excursion ferry is proposed to prolong the fuel cell lifetime and a real-time optimization control strategy considering efficiency and durability is developed.

TDABC could be a strategy for increasing cost accuracy in real-world settings, and the method could help in the transition from fee-for-service to value-based systems.

The proposed C/GMRES algorithm shows great solving quality and real-time applicability in PEMS by comparing with sequence quadratic programming and genetic algorithms.

The results of the moderation analysis show that Corona fears only moderates the link of Performance Expectancy and Social influence with Behavioral Intention of LMS, implying the need for improving the LMS experience to increase its Behavioral IntENTION among students.

Given their highly stochastic features, the hasten increase of renewable energy sources contribution in the global energy balance issues a strong impact on power systems operating conditions. In order to overcome drawbacks related to supply reliability and systems stability, real-time power management strategies able to achieve optimal targets in uncertain frameworks are currently of great interest. This paper aims to overview for the first time the latest progresses in the field of real-time power management algorithms designed for hybrid renewable energy systems. The findings of this researc...

We reported a design of novel thermochromic phase-change microcapsules (TCMs) with a sandwich-structured shell for reversible and durable indication of thermal energy storage and management in real-time. Two types of TCMs with red and blue color indicators were successfully constructed by fabricating a silica base shell onto the n-docosane core, followed by formation of a thermochromic indication layer and a polymeric protective layer, and their multilayered configuration and well-defined core-shell structure were confirmed by microstructural investigation and chemical composition analysis. Th...

The proposed real-time method is effective in reducing the net electricity purchase cost compared to other existing energy management methods and introduces a rule-based controller underneath the optimization layer in finer time resolution at the power electronics converter control level.

A neural network model, which is offline trained using the dataset obtained from the wavelet transform decomposition, is developed to online predict the low frequency power demand for the battery and a fuzzy logic based supervisory controller is further developed for controlling the supercapacitor voltage within a certain suitable range.