The Relationship Between Performance Measures and Overall Performance in the Manufacturing Environment

2021 ◽  
pp. 341-354
Author(s):  
Raman Kumar ◽  
Harwinder Singh
Keyword(s):  
Performance Measures ◽  
Latent Variables ◽  
Manufacturing Industry ◽  
Northern Region ◽  
Performance Measure ◽  
Path Model ◽  
Path Coefficient ◽  
Confirmatory Factor ◽  
Overall Performance ◽  
Manufacturing Organization

The overall performance of a manufacturing organization can be enhanced by thoroughly examine and monitor the activities of all departments such as production, inventory, maintenance, etc. involved in the manufacturing system. The present study highlights the relationships between different performance measure and overall performance from the perspective of the agricultural tool manufacturing industry. A path model consists of 13 observed variables, and four performance measures (latent variables) was developed and tested using SPSS software package and AMOS 21. The outcome of the present work is reflected by the respondent of 105 valid questionnaires who are occupied with agriculture tool manufacturing firms situated in the northern region of India. The outcome of confirmatory factor analysis showed that operational performance has higher path coefficient. The limitation of this work is that the findings are applicable to the specific sector of manufacturing industry only.

scholarly journals A Proposed Model of Jazz Theory Knowledge Acquisition

2014 ◽  
Vol 62 (3) ◽  
pp. 291-301 ◽  
Author(s):  
Charles R. Ciorba ◽  
Brian E. Russell
Keyword(s):  
Academic Achievement ◽  
Knowledge Acquisition ◽  
Latent Variables ◽  
Path Model ◽  
Confirmatory Factor Analyses ◽  
Root Mean Square Residual ◽  
Proposed Model ◽  
Confirmatory Factor ◽  
Predicted Model ◽  
Jazz Theory

The purpose of this study was to test a hypothesized model that proposes a causal relationship between motivation and academic achievement on the acquisition of jazz theory knowledge. A reliability analysis of the latent variables ranged from .92 to .94. Confirmatory factor analyses of the motivation (standardized root mean square residual [SRMR] = .067) and jazz theory (SRMR = .063) measures indicated a good fit of the predicted model to the observed data. Results of the latent path model indicated good fit (χ2 = 20.08, p = .692, df = 24, N = 102) and large, positive, and statistically significant direct effects of motivation (β = 0.65) and academic achievement (β = 0.56) on jazz theory knowledge acquisition. The successful identification of this proposed model lends enough support for continued investigation into the process surrounding the acquisition of jazz theory knowledge.

scholarly journals Assessment of PLS-SEM Path Model for Coefficient of Determination and Predictive Relevance of Consumer Trust on Organic Cosmetics

2016 ◽  
Vol 15 (4) ◽  
pp. 1-19
Author(s):  
Suhan . ◽  
Anantha Padmanabha Achar
Keyword(s):  
Latent Variables ◽  
Latent Variable ◽  
Quantitative Research ◽  
Direct Relationship ◽  
Threshold Value ◽  
Path Model ◽  
Coefficient Of Determination ◽  
Path Coefficient ◽  
Threshold Values ◽  
Research Survey

In this paper the researchers investigated the coefficient of determination R-Square and predictive relevance (Q2) through Blindfolding. To fulfil the aim of the study, a structured quantitative research survey has been conducted with 640 sample size. The results emerged from the research survey shows that the R-Square hasmoderate strength for the endogenous latent variable trust and substantial strength or effect for the endogenous latent variables integrity, ability and benevolence. After calculating Q2for the endogenous latent variable ability, benevolence, integrity and trust it was found that the model has predictive relevance for these constructs. The path coefficient threshold values for measuring between indicators namely, cause purview and emotional benefits, cause consequential and trust, cause rubric and trust, cause span and emotional benefits, emotional benefits and trust, functional benefits and trust, ability and trust, benevolence and trust and also for integrity and trust are above the threshold value of 1.96 substantiate the hypothesis and exerts direct relationship between two variables. But the path coefficient threshold values between indicators namely, Cause purview and trust, cause consequential and trust, cause rubric and emotional benefits, cause span and trust, and also self-expressive and trust are below the threshold value of 1.96 does not substantiate the hypothesis and also does not exerts direct relationship between two variables. At the end of the paper, the author highlights the results, along with implications and limitations.

Probability-Based and Measurement-Related Hypotheses With Full Restriction for Investigations by Means of Confirmatory Factor Analysis

Methodology ◽  
2011 ◽  
Vol 7 (4) ◽  
pp. 157-164
Author(s):  
Karl Schweizer
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Cognitive Processing ◽  
Latent Variables ◽  
Repeated Measures ◽  
Latent Variable ◽  
Model Fit ◽  
Repeated Measures Data ◽  
Confirmatory Factor ◽  
And Performance

Probability-based and measurement-related hypotheses for confirmatory factor analysis of repeated-measures data are investigated. Such hypotheses comprise precise assumptions concerning the relationships among the true components associated with the levels of the design or the items of the measure. Measurement-related hypotheses concentrate on the assumed processes, as, for example, transformation and memory processes, and represent treatment-dependent differences in processing. In contrast, probability-based hypotheses provide the opportunity to consider probabilities as outcome predictions that summarize the effects of various influences. The prediction of performance guided by inexact cues serves as an example. In the empirical part of this paper probability-based and measurement-related hypotheses are applied to working-memory data. Latent variables according to both hypotheses contribute to a good model fit. The best model fit is achieved for the model including latent variables that represented serial cognitive processing and performance according to inexact cues in combination with a latent variable for subsidiary processes.

Conceptualizing Protective Family Context and Its effect on Substance Use: Comparisons Across Diverse Ethnic-Racial Youth

2019 ◽  
Author(s):  
Kevin Constante ◽  
Edward Huntley ◽  
Emma Schillinger ◽  
Christine Wagner ◽  
Daniel Keating
Keyword(s):  
Substance Use ◽  
Measurement Invariance ◽  
Latent Variables ◽  
Latent Variable ◽  
Path Model ◽  
Family Context ◽  
Partial Metric ◽  
Racial Groups ◽  
Protective Methods ◽  
Family Variables

Background: Although family behaviors are known to be important for buffering youth against substance use, research in this area often evaluates a particular type of family interaction and how it shapes adolescents’ behaviors, when it is likely that youth experience the co-occurrence of multiple types of family behaviors that may be protective. Methods: The current study (N = 1716, 10th and 12th graders, 55% female) examined associations between protective family context, a latent variable comprised of five different measures of family behaviors, and past 12 months substance use: alcohol, cigarettes, marijuana, and e-cigarettes. Results: A multi-group measurement invariance assessment supported protective family context as a coherent latent construct with partial (metric) measurement invariance among Black, Latinx, and White youth. A multi-group path model indicated that protective family context was significantly associated with less substance use for all youth, but of varying magnitudes across ethnic-racial groups. Conclusion: These results emphasize the importance of evaluating psychometric properties of family-relevant latent variables on the basis of group membership in order to draw appropriate inferences on how such family variables relate to substance use among diverse samples.

Effects of Accounting-Method Choices on Subjective Performance-Measure Weighting Decisions: Experimental Evidence on Precision and Error Covariance

2005 ◽  
Vol 80 (4) ◽  
pp. 1163-1192 ◽  
Author(s):  
Ranjani Krishnan ◽  
Joan L. Luft ◽  
Michael D. Shields
Keyword(s):  
Performance Measures ◽  
Error Variance ◽  
Spillover Effects ◽  
Performance Measure ◽  
Incentive System ◽  
Experimental Setting ◽  
Error Covariance ◽  
Psychology Theory ◽  
Optimal Weighting ◽  
Similarity And Difference

Performance-measure weights for incentive compensation are often determined subjectively. Determining these weights is a cognitively difficult task, and archival research shows that observed performance-measure weights are only partially consistent with the predictions of agency theory. Ittner et al. (2003) have concluded that psychology theory can help to explain such inconsistencies. In an experimental setting based on Feltham and Xie (1994), we use psychology theories of reasoning to predict distinctive patterns of similarity and difference between optimal and actual subjective performance-measure weights. The following predictions are supported. First, in contrast to a number of prior studies, most individuals' decisions are significantly influenced by the performance measures' error variance (precision) and error covariance. Second, directional errors in the use of these measurement attributes are relatively frequent, resulting in a mean underreaction to an accounting change that alters performance measurement error. Third, individuals seem insufficiently aware that a change in the accounting for one measure has spillover effects on the optimal weighting of the other measure in a two-measure incentive system. In consequence, they make performance-measure weighting decisions that are likely to result in misallocations of agent effort.

Performance measurement for supply chain management and quality management integration

2019 ◽  
Vol 27 (7) ◽  
pp. 2130-2147 ◽  
Author(s):  
Marcio C. Machado ◽  
Renato Telles ◽  
Paulo Sampaio ◽  
Maciel M. Queiroz ◽  
Ana Cristina Fernandes
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Quality Management ◽  
Performance Measurement ◽  
Performance Measures ◽  
Chain Management ◽  
Content Type ◽  
Theoretical Perspectives ◽  
Overall Performance ◽  
Key Aspects

Purpose The purpose of this paper is to present a conceptual framework for performance measurement (PM) for the integration of supply chain management (SCM) and quality management (QM). Design/methodology/approach A systematic literature review on SCM and QM was conducted to develop key performance measures related to six areas of integration between QM and SCM: leadership; continuous improvement and innovation; sustainability performance; stakeholders; information system; and management and strategic planning. Findings Supported by the literature concerning to supply chain quality management (SCQM) integration, a set of nine propositions about performance measures, that contribute to the integration of SCQM, were developed. Originality/value This study contributes to QM practices within a supply chain environment from an integrated perspective. Additionally, the propositions have significant implications from both managerial and theoretical perspectives. This study also extends the concept of supply chain quality integration by focusing on key aspects of PM that may help to improve the overall performance of the supply chain.

Determinants of positive mental health: a path model

2014 ◽  
Vol 19 (1) ◽  
pp. 47-60 ◽  
Author(s):  
Nima S. Ganga ◽  
V. Raman Kutty ◽  
Immanuel Thomas
Keyword(s):  
Public Health ◽  
Mental Health ◽  
Latent Variables ◽  
Positive Mental Health ◽  
Path Model ◽  
Primary Data ◽  
Outcome Variable ◽  
Public Health Approach ◽  
Cross Sectional Survey ◽  
Content Type

Purpose – A public health approach for promoting mental health has become a major health policy agenda of many governments. Despite this worldwide attention on research addressing population mental health and general wellbeing, very little is heard on positive mental health from the low-and middle-income countries. This paper aims to present an attempt to develop a model of positive mental health among young people. This could be used for integrating the concept of positive mental health (PMH) into public health interventions. Design/methodology/approach – The study was conducted in the state of Kerala, India. The paper administered the “Achutha Menon Centre Positive Mental health Scale” to a sample of 453 (230 men and 223 women) in the age group 18-24, along with an interview schedule exploring the relationship of PMH with many explanatory variables such as sex, beliefs, religion, education, employment and social capital. The paper developed an input path model through a series of multiple regressions explaining the levels of PMH in the community, which was then tested statistically (using AMOS version 7.0). The input model was created by identifying the determinants and correlates of PMH based on their predictive power on the outcome variable, the PMH score. The input diagram was used to test the model fit of the data. Findings – The path model (Figure 1) clearly specified the determinants of PMH. Among them, the variables that have a direct determinant effect on PMH are: quality of home learning environment, employment status, education status, marital status, self-perception on possession of skills, happiness with life, membership in social organizations and socializing capability. Research limitations/implications – In this study, path model is used to confirm relationships among observed and latent variables. The path diagram assesses the comparative strength of the correlations between the variables and does not test the directionality. Or, the model itself cannot prove causation. Practical implications – Determinants of PMH those are amenable to interventions as well as those which help in recognizing characteristic groups for intervention could help to plan future intervention programs. Originality/value – Original paper based on primary data collected through a cross-sectional survey.

scholarly journals The Role of Managerial Commitment and TPM Implementation Strategies in Productivity Benefits

2018 ◽  
Vol 8 (7) ◽  
pp. 1153 ◽  
Author(s):  
José Díaz-Reza ◽  
Jorge García-Alcaraz ◽  
Liliana Avelar-Sosa ◽  
José Mendoza-Fong ◽  
Juan Sáenz Diez-Muro ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Preventive Maintenance ◽  
Latent Variables ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Implementation Strategies ◽  
Equation Model ◽  
Total Productive Maintenance

The present research proposes a structural equation model to integrate four latent variables: managerial commitment, preventive maintenance, total productive maintenance, and productivity benefits. In addition, these variables are related through six research hypotheses that are validated using collected data from 368 surveys administered in the Mexican manufacturing industry. Consequently, the model is evaluated using partial least squares. The results show that managerial commitment is critical to achieve productivity benefits, while preventive maintenance is indispensable to total preventive maintenance. These results may encourage company managers to focus on managerial commitment and implement preventive maintenance programs to guarantee the success of total productive maintenance.

Abstract 3429: Implementation of Electronic Medical Record Stroke Templates Increases Compliance with Stroke Performance Measures

Stroke ◽  
2012 ◽  
Vol 43 (suppl_1) ◽  
Author(s):  
Crismely A Perdomo ◽  
Vepuka E Kauari ◽  
Elizabeth Suarez ◽  
Olajide Williams ◽  
Joshua Stillman ◽  
...  
Keyword(s):  
Medical Record ◽  
Electronic Medical Record ◽  
Performance Measures ◽  
New York State ◽  
Stroke Care ◽  
Performance Measure ◽  
Performance Comparison ◽  
York State Department ◽  
Free Text ◽  
And Performance

Background and Purpose The literature demonstrates how utilizing evidence-based, standardized stroke care can improve patient outcomes; however, the contribution of electronic medical record (EMR) systems may also impact outcomes by ensuring utilization and compliance with established stroke performance measures, facilitating and improving documentation requirements, and standardizing approach to care. In 2008, documentation in patients’ medical records was done in combination of paper and a template free EMR. Originally, the EMR was used for order entry, then transitioned to full electronic documentation in 2009. At that time we implemented our stroke templates and performance measures based on regulatory standards. We hypothesized that the stroke template implementation would help us achieve performance measure criteria above state benchmarks as set out by the New York State Department of Health (NYS DOH). Methods Implementation was phased in [over 18 months], initially using a template that only included neurological assessment and free text fields for stroke measures. By July 2010, existing templates were modified and additional stroke templates were implemented to meet new regulatory requirements and meaningful use criteria. Retrospective data review was conducted for performance comparison between 2008 -- one year prior to EMR/template implementation -- and 2010. In Quarter 1 of 2011 EMR was also implemented in the Emergency Department (ED). Data was reviewed for compliance with stroke measures. Results Documentation compliance substantially improved between 2008 and Quarter 1 2011: Compliance for these measures has been maintained ≥ 85% since November 2010, ≥ 90% Q1 2011 Conclusions The EMR implementation of stroke templates and performance measures can produce substantial improvement in performance measure compliance. Future steps will include automated documentation alerts to retrieve information and real time discovery of missing documentation for concurrent quality review and improvement

Total Productive Maintenance: Competing or Complementary to other Initiatives?

2013 ◽  
Vol 315 ◽  
pp. 472-476
Author(s):  
Adnan Hj. Bakri ◽  
Abdul Rahman Abdul Rahim ◽  
Noordin Mohd Yusof
Keyword(s):  
Large Scale ◽  
Manufacturing Industry ◽  
Short Review ◽  
The Other ◽  
Total Quality ◽  
Total Productive Maintenance ◽  
Quality Initiatives ◽  
Practical Applications ◽  
Manufacturing Organization

The objective of this short review paper is to examine the practical applications of Total Productive Maintenance (TPM) in the manufacturing industry. In this short review, an attempt was made to critically discuss the previous literatures related to TPM with the other established quality initiatives in the manufacturing, such as Total Quality Management (TQM) and Just-In-Time practice (JIT). This literature review-based research revealed an important research gaps related to TPM. The significance role of TPM as an important complementary to either TQM or JIT initiative is observed not been well addressed in the available literatures. Most of the researches available investigate these initiatives separately, focuses on the other element rather than addressing on the significant role of TPM as one of the main thrust. The separate implementation of such quality initiatives in the manufacturing organization means the requirement of large scale human, financial and technical resources as well the associated problems of running competing project in the company. The outcomes from this review justify the needs of further research in the area of TPM integration with other available initiatives, to further enhance its methodology aimed at solidifying its philosophy towards more realistic practical applications.

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