scholarly journals Optimal incentive contract with endogenous monitoring technology

2020 ◽  
Vol 15 (3) ◽  
pp. 1135-1173 ◽  
Author(s):  
Anqi Li ◽  
Ming Yang
Keyword(s):  
Likelihood Ratio ◽  
Employee Performance ◽  
Information Aggregation ◽  
Performance Data ◽  
Monitoring Cost ◽  
Monitoring Technology ◽  
Optimal Monitoring ◽  
Group Evaluation ◽  
Incentive Contracting ◽  
Monitoring Technologies

Recent technology advances have enabled firms to flexibly process and analyze sophisticated employee performance data at a reduced and yet significant cost. We develop a theory of optimal incentive contracting where the monitoring technology that governs the above procedure is part of the designer's strategic planning. In otherwise standard principal–agent models with moral hazard, we allow the principal to partition agents' performance data into any finite categories, and to pay for the amount of information the output signal carries. Through analysis of the trade‐off between giving incentives to agents and saving the monitoring cost, we obtain characterizations of optimal monitoring technologies such as information aggregation, strict monotone likelihood ratio property, likelihood ratio–convex performance classification, group evaluation in response to rising monitoring costs, and assessing multiple task performances according to agents' endogenous tendencies to shirk. We examine implications of these results for workforce management and firms' internal organizations.

scholarly journals Remote monitoring in heart failure: current and emerging technologies in the context of the pandemic

Heart ◽  
2021 ◽  
Vol 107 (5) ◽  
pp. 366-372
Author(s):  
Donya Mohebali ◽  
Michelle M Kittleson
Keyword(s):  
Heart Failure ◽  
At Risk ◽  
Remote Monitoring ◽  
Reliable Method ◽  
Healthcare Delivery ◽  
Rapid Expansion ◽  
Monitoring Technology ◽  
Remote Healthcare ◽  
Monitoring Technologies

The incidence of heart failure (HF) remains high and patients with HF are at risk for frequent hospitalisations. Remote monitoring technologies may provide early indications of HF decompensation and potentially allow for optimisation of therapy to prevent HF hospitalisations. The need for reliable remote monitoring technology has never been greater as the COVID-19 pandemic has led to the rapid expansion of a new mode of healthcare delivery: the virtual visit. With the convergence of remote monitoring technologies and reliable method of remote healthcare delivery, an understanding of the role of both in the management of patients with HF is critical. In this review, we outline the evidence on current remote monitoring technologies in patients with HF and highlight how these advances may benefit patients in the context of the current pandemic.

Dataveillance in the Workplace

2019 ◽  
pp. 391-410
Author(s):  
Regina Connolly ◽  
Cliona McParland
Keyword(s):  
Psychological Contract ◽  
Employee Performance ◽  
Counterproductive Work Behaviors ◽  
Ethical Framework ◽  
Employee Privacy ◽  
Privacy Concerns ◽  
Employee Trust ◽  
Emerging Issues ◽  
The Many ◽  
Monitoring Technologies

The many obvious benefits that accompany digital technology have been matched by some less welcome and more contentious impacts. One of these is the steady erosion of employee privacy. Whilst employee performance has frequently been the object of scrutiny, the increasing number of organizations that monitor employees through advanced digital technologies has added a dystopian edge to existing employee privacy concerns, particularly as many employees are unable to exercise choice in relation to use of these technologies. If unaddressed, their concerns have potential to impact the psychological contract between employee and employer, resulting in loss of employee trust, negative attitudes, and counterproductive work behaviors. This chapter outlines some of the emerging issues relating to use of employee monitoring technologies. It summarizes both management rationale for monitoring as well as employee privacy concerns and proposes an ethical framework that is useful for balancing these differing perspectives.

Remote Monitoring Technologies of Performances of Battery Charger in Digitalized Transformer Substation

2013 ◽  
Vol 662 ◽  
pp. 731-735
Author(s):  
Pei Ying Li ◽  
Yu Tian Pan ◽  
Yan Qiang Ma
Keyword(s):  
Remote Sensing ◽  
Power System ◽  
Remote Monitoring ◽  
Constant Current ◽  
Battery Charger ◽  
Monitoring Technology ◽  
Dc Power ◽  
Transformer Substation ◽  
The Stability ◽  
Monitoring Technologies

In the DC power system of the unwatched transformer substation, the battery charger is one of the key devices. The stability of its performances directly affect the stability of DC power system. In the paper, using the computer technologies and the real-time Ethernet technology to communicate with the battery charger monitor to achieve remote monitoring technology of the performances of the battery charger. It can not only remote monitor the operations and fault states of the battery charger on line, but also remote sensing the ripple factor and the stabilized voltage precision when the battery charger is under the states of the floating charge and the constant voltage equalizing charge, at the same time remote sensing the stabilized current precisions when the battery charger is under the stage of constant current equalizing charge, and the characteristics of equalizing current when the battery charger is in operation. So the remote monitoring technology of the performances of the battery charger is very important in the transformer substation.

Monitoring of Professionally Important Qualities of Students in the Conditions of Electronic Information and Educational Environment

2019 ◽  
Vol 7 (1) ◽  
pp. 3-6 ◽  
Author(s):  
Г. Шевченко ◽  
G. Shevchenko ◽  
В. Горовая ◽  
V. Gorovaya ◽  
А. Шевченко ◽  
...  
Keyword(s):  
Vocational Education ◽  
Educational Environment ◽  
Electronic Information ◽  
Monitoring Technology ◽  
Successful Work ◽  
Monitoring Technologies

The article deals with the issues related to the pedagogical monitoring technology used in the system of vocational education to identify the success of the development of professionally important qualities of students. Attention is drawn to the fact that the monitoring provides the teacher and the student the opportunity to compare the planned and actual results, to identify hidden reserves and guidelines for successful work, on the basis of which it is possible to outline a program of further action. It is indicated that the monitoring technologies, such as testing, reveal not only the level of development of professionally important qualities of the student, but also their compliance with specifi c standards obtained by analyzing the methods of performing a number of special tasks. Positive trends in educational situations in the electronic information and educational environment entail positive changes in the success of the development of professionally important qualities of students.

The impact of family roles on employee’s attitudes and behaviors

2016 ◽  
Vol 35 (5) ◽  
pp. 623-635 ◽  
Author(s):  
Scott L Boyar ◽  
Teresa A. Wagner ◽  
Amanda Petzinger ◽  
Ronald B. McKinley
Keyword(s):  
Life Satisfaction ◽  
Job Performance ◽  
Structural Model ◽  
Employee Performance ◽  
Performance Data ◽  
Family Roles ◽  
Content Type ◽  
Hiring Process ◽  
Core Self ◽  
The Impact

Purpose – The purpose of this paper is to examine two important family roles, financial and caregiver, and their impact on four relevant outcome variables: absenteeism, partial absences, employee performance, and life satisfaction; they also explore the intervening impact of core self-evaluations (CSE) among these relationships. Design/methodology/approach – Data are collected using a questionnaire and actual employee performance data. Hypotheses were assessed in a structural model using LISREL. Findings – The results demonstrate the impact of family roles on important outcomes, such as absenteeism and life satisfaction, as well as limited support of the moderating impact of CSE. Further, life satisfaction was significantly impacted by family roles and influenced job performance. Research limitations/implications – Although the measures were self-reported, actual job performance data were collected from company records; such a design should limit the risk of common method variance (Podsakoff et al., 2003). Practical implications – Two family roles were shown to impact life satisfaction and these were positively moderated by CSE. Therefore, organization can develop family-friendly programs and policies to support employee’s multiple family roles in an effort to increase employee’s levels of life satisfaction and job performance. Incorporating CSE in the hiring process or providing employees with the skills and abilities to enhance their level of CSE should impact job performance. Originality/value – The study contributes by assessing family roles using gender-neutral measures that assess level of role engagement. It also incorporates a dispositional variable, CSE, and its relation to family roles and job performance.

scholarly journals Pengujian Black Box pada Sistem Aplikasi Informasi Data Kinerja Menggunakan Teknik Equivalence Partitions

2020 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Andri Ricat Sinulingga ◽  
Muhammad Zuhri ◽  
Rizky Budi Mukti ◽  
Zia Syifa ◽  
Aries Saifudin
Keyword(s):  
Employee Performance ◽  
Black Box ◽  
Performance Data ◽  
Test Results ◽  
Value Analysis ◽  
Testing Method ◽  
Black Box Testing ◽  
Sample Testing ◽  
Testing Techniques ◽  
The Many

Software that contains defects (errors) can cause harm. Losses caused can affect all stakeholders. Losses can take the form of financial, time, and others. So before the software is implemented it needs to be tested. Testing on an application aims to check whether a program is running properly or not. In testing this software will use Blackbox Testing. Black Box Testing Method consists of several techniques, including Equivalence Partitions, Boundary Value Analysis, Sample Testing, and so on. Among the many testing techniques, in this study the testing technique was chosen using Equivalence Partitions. Equivalence Partitions technique is a test based on data input on each form in the performance data information application system, each menu input will be tested and grouped according to function whether it is valid or invalid. Testing is done on 4 forms that will be filled with data form added jobdesk, form added work targets, form edit work targets, form approve work targets, and employee performance while in the company. The test results show that there are still many shortcomings when validating data to be entered, so that it can cause data stored in the database to be incompatible with the expected data. The results of this test can be used as input to improve the application of performance data for the future.

scholarly journals KOMPENSASI, MOTIVASI, PELATIHAN, DAN LINGKUNGAN KERJA PADA KUALITAS KINERJA PEGAWAI

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Yuli Tri Cahyono ◽  
Eskasari Putri
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Work Environment ◽  
Analytical Method ◽  
Employee Performance ◽  
Performance Data ◽  
Research Hypothesis

AbstrakPenelitian ini bertujuan untuk menguji dan menganalisis pengaruh kompensasi, motivasi, pelatihan, dan lingkungan kerja pada kualitas kinerja pegawai. Pengumpulan data dilakukan melalui penyebaran kuesioner. Analisis data pada penelitian ini menggunakan bantuan SPSS. Metode analisis yang digunakan adalah regresi liner berganda untuk menguji dan membuktikan hipotesis penelitian. Hasil analisis menunjukkan bahwa pelatihan berpenaruh terhadap kualitas kinerja pegawai, sedangkan kompensasi, motivasi, dan lingkungan kerja tidak berpengaruh.Kata Kunci: pelatihan, lingkungan kerja, motivasi, kinerja pegawaiAbstractThis study aims to examine and analyze the effect of compensation, motivation, training, and work environment on the quality of employee performance. Data collection was carried out through questionnaires. Analysis of the data in this study using SPSS. The analytical method used is multiple linear regression to test and prove the research hypothesis. The results of the analysis show that training affects the quality of employee performance, while compensation, motivation, and work environment have no effect.Keywords: training, work environment, motivation, employee performance

scholarly journals Employee performance, leadership style and emotional intelligence: An exploratory study in a South African parastatal

2008 ◽  
Vol 8 (1) ◽  
Author(s):  
B. A. Hayward ◽  
J. Baxter ◽  
T. L. Amos
Keyword(s):  
Emotional Intelligence ◽  
Transformational Leadership ◽  
Correlation Analysis ◽  
Performance Management ◽  
South African ◽  
Leadership Style ◽  
Significant Relationship ◽  
Employee Performance ◽  
Performance Data ◽  
Reliable Measure

Purpose: The purpose of this research is to explore the relationship between employee performance, leadership style and emotional intelligence in the context of a South African parastatal. Problem Investigated: There is a lack of literature and empirical research on the type of leadership required to achieve high levels of employee performance within South African parastatals. Methodology: The Multifactor Leadership Questionnaire (MLQ) was used to determine leadership style, while the Emotional Competency Profiler (ECP) was used to determine the emotional intelligence of the sample of leaders. Employee performance data was provided by the parastatal, based on their performance management system. Data was analysed using correlation analysis, multiple regression analysis, the standard regression ANOVA/F-test, t-tests and Cronbach alpha reliability coefficient. Findings: The findings of the research show that the ECP is a reliable measure of emotional intelligence and that while the MLQ is a reliable measure of transformational leadership, it is not a reliable measure of transactional leadership. The results of the correlation analysis show a positive significant relationship between emotional intelligence and transformational leadership and a negative significant relationship between employee performance and emotional intelligence. The results of regressing employee performance on emotional intelligence and transformational leadership show that emotional intelligence and transformational leadership have no significant effect on employee performance. The results of the regression models of the research could be biased by the lack of variance in employee performance data. Value of the Research: The value of the research lies in it confirming the MLQ as a reliable measure of transformational leadership and the ECP as a reliable measure of emotional intelligence. The finding of a positive significant relationship between emotional intelligence and transformational leadership is a valuable contribution to the literature. Conclusion: Although a positive significant relationship between emotional intelligence and transformational leadership was found, there is a need for further research to determine the type of leadership best suited to achieve high levels of employee performance within the parastatal.

scholarly journals Dataveillance in the Workplace: Managing the Impact of Innovation

2020 ◽  
Vol 11 (1) ◽  
pp. 106-124 ◽  
Author(s):  
Cliona McParland ◽  
Regina Connolly
Keyword(s):  
Employee Performance ◽  
Empirical Studies ◽  
Fair Use ◽  
Short Supply ◽  
Trust In Management ◽  
Emerging Issues ◽  
Monitoring Technologies ◽  
Counterproductive Behaviours ◽  
The Impact ◽  
Workplace Surveillance

AbstractBackground: Monitoring and surveillance are a fundamental part of the workplace environment, with employee performance and productivity as the main objects of scrutiny. However, many questions surround the ethical nature of managements’ ability to employ advanced digital technologies to monitor employee behaviour and performance while in the workplace. If unaddressed, these concerns have the potential to significantly impact the relationship between the employee and the employer, impacting trust in management resulting in negative attitudes and counterproductive behaviours.Objectives: The goal of this paper is to present a comprehensive review of workplace surveillance whilst outlining some of the emerging issues relating to the use of employee monitoring technologies in the workplace.Methods/Approach: A detailed review of the literature was conducted in order to identify the major issues relating to workplace surveillance. In addition, a number of practitioner-based studies were examined to extract and identify emerging trends and concerns at an industry level.Results: Workplace surveillance is on the rise; however, empirical studies are in short supply.Conclusions: The issue of workplace surveillance is an under-researched area, which requires much attention. There is a distinct need for clear measures and structures that govern the effective and fair use of communication technologies in the workplace.

The Optimal Selection of Monitoring Parameters for Pitting Damage of Gears Based on Fault Trend Analysis

2014 ◽  
Vol 701-702 ◽  
pp. 554-559
Author(s):  
Jian Lu Luo ◽  
Xiao Dong Tan ◽  
Ying Liu ◽  
Qing Li
Keyword(s):  
Trend Analysis ◽  
Dynamic Responses ◽  
Optimal Selection ◽  
Monitoring Cost ◽  
Optimal Monitoring ◽  
Novel Approach ◽  
Effective Signal ◽  
Generalized Parameters ◽  
Signal Processing Methods ◽  
Selection Of

Tooth pitting in gears is one of the most critical fault modes in gearboxes, and monitoring the increase of tooth pitting damage can avoid great risk to gearboxes. The optimal selection of monitoring parameters in gearboxes can reduce the monitoring cost and improve the reliability on the basis of meeting monitoring requirements. To better track the increase of pitting damage, monitoring parameters should include abundant information of pitting growth in its evolution process. Hence, this paper proposes a novel approach to select optimal monitoring parameters based on fault trend analysis of pitting growth. With the analytical formulations of tooth pitting, the dependencies between damage levels of tooth pitting and the reduction of mesh stiffness can be obtained, then the damage dynamics of the gearbox system due to tooth pitting can be built. Afterwards, the dynamic responses of generalized parameters in the models of pitting levels can be simulated, and their condition indicators can be obtained by using effective signal processing methods. Then, the sensitivities of each generalized parameter to tooth damage can be calculated, and the optimal monitoring parameters can be determined according to the size of sensitivities. The simulation results show that monitoring the acceleration of gear and calculating its kurtosis can effectively track tooth pitting growth.

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