scholarly journals Total Productive Maintenance (TPM) Implementation Based on Lean Manufacturing Tools in Indonesian Manufacturing Industries

2018 ◽  
Vol 7 (3.7) ◽  
pp. 156
Author(s):  
Erry Yulian Triblas Adesta ◽  
Herry Agung Prabowo
Keyword(s):  
Lean Manufacturing ◽  
Structural Equation ◽  
Structural Model ◽  
Reference Model ◽  
Manufacturing Industries ◽  
Survey Method ◽  
Total Productive Maintenance ◽  
Measurement Models ◽  
Programming Tool ◽  
The Status

Only a few companies in Indonesia have implemented Total Productive Maintenance (TPM) and Lean Manufacturing (LM) properly. They also implemented LM separately with TPM. To look beyond their implementation, a research through survey method will be conducted to identify the status of TPM and LM practices. The data recorded through the survey will be calculated and analysed using Structural Equation Modelling (SEM) with Smart-PLS as a programming tool. The expected results were to provide updated barriers and enablers factors in implementing TPM and LM, to produced reliable CFA (measurement) models for TPM, LM and MP and proposing reference model (structural model) of the relationship between TPM, LM, and MP for manufacturing industries in Indonesia.  

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

Assessment of Teacher Attitudes Toward Inclusion of Students with Disabilities: A Confirmatory Factor Analysis

1997 ◽  
Vol 14 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Georgios D. Sideridis ◽  
Judy P. Chandler
Keyword(s):  
Physical Education ◽  
Music Education ◽  
Students With Disabilities ◽  
Structural Equation ◽  
Structural Model ◽  
Equation Modeling ◽  
Future Research ◽  
Physical Education Teachers ◽  
The Status ◽  
Fit Index

The Teacher Integration Attitudes Questionnaire (TIAQ) was developed in order to assess the attitudes and beliefs of teachers (n = 110) with regard to the inclusion of students with disabilities in regular education settings. Using Structural Equation Modeling, the final structural model of the TIAQ comprised four constructs, namely, “Skills,” “Benefits,” “Acceptance,” and “Support.” The final model was fully supported by the derivation sample of music education teachers (n = 54) and produced a Comparative Fit Index (CFI = 1.00). The replication sample of physical education teachers (n = 56) partially supported the generality of the TIAQ, (CFI = .844). Further, the internal consistency properties of the TIAQ (Cronbach’s alpha was .77 for both samples) were satisfactory. We conclude that the psychometric properties of the TIAQ were adequate, and it can be used as a valid assessment in evaluating the status of inclusion for students with disabilities as perceived by music education and physical education teachers. However, future research is needed to support its generality with other groups of teachers and professionals.

Identifying and treating unobserved heterogeneity with FIMIX-PLS

2016 ◽  
Vol 28 (2) ◽  
pp. 208-224 ◽  
Author(s):  
Lucy M. Matthews ◽  
Marko Sarstedt ◽  
Joseph F. Hair ◽  
Christian M. Ringle
Keyword(s):  
Structural Equation ◽  
Latent Class ◽  
Structural Model ◽  
Unobserved Heterogeneity ◽  
Equation Modeling ◽  
Content Type ◽  
Measurement Models ◽  
European Business ◽  
Number Of Segments

Purpose Part I of this article (European Business Review, Volume 28, Issue 1) offered an overview of unobserved heterogeneity in the context of partial least squares structural equation modeling (PLS-SEM), its prevalence and challenges for social sciences researchers. This paper aims to provide an example that explains how to identify and treat unobserved heterogeneity in PLS-SEM by using the finite mixture PLS (FIMIX-PLS) module in the SmartPLS 3 software (Part II). Design/methodology/approach This case study illustrates the application of FIMIX-PLS using a popular corporate reputation model. Findings The case study demonstrates the capability of FIMIX-PLS to identify whether unobserved heterogeneity significantly affects structural model relationships. Furthermore, it shows that FIMIX-PLS is particularly useful for determining the number of segments to extract from the data. Research limitations/implications Since the introduction of FIMIX-PLS, a range of alternative latent class techniques has appeared. These techniques address some of the limitations of the approach relating to, for example, its failure to handle heterogeneity in measurement models, or its distributional assumptions. This research discusses alternative latent class techniques and calls for the joint use of FIMIX-PLS and PLS prediction-oriented segmentation. Originality/value This article is the first to offer researchers, who have not been exposed to the method, an introduction to FIMIX-PLS. Based on a state-of-the-art review of the technique, the paper offers a step-by-step tutorial on how to use FIMIX-PLS by using the SmartPLS 3 software.

An Analysis of e-Governance and Its Impact on the Profitability of MSMEs: A Structural Equation Modelling Approach

2021 ◽  
pp. 231971452110327
Author(s):  
Raksha Prasad Vashist ◽  
Ashish Arya ◽  
Aditya Dhiman
Keyword(s):  
Structural Equation ◽  
Business Performance ◽  
Structural Model ◽  
Survey Method ◽  
Government Officials ◽  
Government Structure ◽  
Top Executives ◽  
Random Samples ◽  
Measure Of Performance ◽  
The Relationship

The article studies e-governance and its impact on the performance of MSMEs in India using a structural model. The model contains three main variables: use of e-governance by the MSMEs, the benefits attained by using e-governance (a mediating variable), and the change in performance due to the use of e-governance and benefits attained. The profitability of the firm is a measure of performance in the study. The study was done in collaboration with PHD Chamber of Commerce and Industry, Dehradun, Uttarakhand, India. The data was collected using the survey method, in which a close-ended questionnaire was circulated to the top executives of MSMEs. Out of 3,126 registered MSMEs (registered during FY 2017–2018), 350 random samples were taken into consideration for this study. A response rate of 83.7% was attained. Statistical techniques such as EFA, CFA and SEM have been used in this study to confirm the model, using SPSS and AMOS software. The model proposed in the study fits well both theoretically and empirically in the Indian context, and clearly shows the significant impact of e-governance use on the business performance of MSMEs. The study also shows that the benefits of e-governance have a partial mediating impact on the relationship between e-governance and the profitability of the business. The structured model presented in the study would be useful for practitioners (government bodies, government officials and e-government practitioners) in making vital decisions while designing an effective e-government structure for enterprises.

scholarly journals The relationship between servant leadership, affective team commitment and team effectiveness

2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Bright Mahembe ◽  
Amos S. Engelbrecht
Keyword(s):  
Servant Leadership ◽  
Leadership Practices ◽  
Structural Equation ◽  
Team Effectiveness ◽  
Structural Model ◽  
Critical Role ◽  
Factor Analyses ◽  
Measurement Models ◽  
Team Commitment ◽  
The Relationship

Orientation: Value-based leadership practices play a critical role in teamwork in high-performance organisations. Research purpose: The aim of the study was to empirically validate a theoretical model explicating the structural relationships between servant leadership, affective team commitment and team effectiveness. Motivation for the study: The increased eliance on teams for production calls for an analysis of the role of follower-focused leadership practices in enhancing eam effectiveness.Research design, approach and method: A non-probabilityand multicultural sample consisting of 202 primary and secondary school teachers was drawn from 32 chools in the Western Cape Province of South Africa.Main findings: High levels of reliability were found and uni-dimensionality of the subscales was demonstrated through exploratory factor analyses. Good fit with the data was found for the measurement models through confirmatory factor analyses. Structural equation modelling showed a reasonable fit for the structural model. Positive relationships were found amongst servant leadership, team effectiveness and affective team commitment. Standard multiple regression analysis showed that affective team commitment moderated the relationship between servant leadership and team effectiveness.Practical/managerial implications: The findings emphasise the central role played by servant leadership and affective team commitment in team performance. Servant leadership fosters team effectiveness if employees feel committed to their work team.Contribution/value-add: The servant leadership style alone may not be a sufficient condition for team effectiveness; other variables, such as affective team commitment, also play a role. The study suggested specific variables that may also combine with leadership to positively influence team effectiveness. 

scholarly journals The Effect of Lean Manufacturing on a Supply Chain Relationship and Performance

2019 ◽  
Vol 11 (20) ◽  
pp. 5751 ◽  
Author(s):  
Assadej Vanichchinchai
Keyword(s):  
Supply Chain ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Reliability And Validity ◽  
Manufacturing Industries ◽  
Equation Modeling ◽  
Measurement Instruments ◽  
Literature Reviews ◽  
And Performance ◽  
The Impact

This study aims to explore the impact of lean manufacturing (LM) or transaction-based supply chain management (SCM) on a supply chain relationship (SCR) and supply performance (SP) in manufacturing industries in Thailand. The measurement instruments for LM, SCR, and SP were developed from comprehensive literature reviews, verified by experts, and statistical techniques to assure reliability and validity. The hypothesized model was tested with path analysis of structural equation modeling. It was found that the set of LM, SCR, and SP frameworks were reliable and valid for Thai manufacturing industries. LM had not only a direct effect on the SCR and SP but also an indirect effect on the SP through the SCR. The SCR also had a direct impact on the SP. This paper presents insights into the debate concerning the impact of transaction-based SCM on relationship-based SCM and SP.

Development of lean manufacturing implementation drivers for Indian ceramic industry

2014 ◽  
Vol 63 (5) ◽  
pp. 569-587 ◽  
Author(s):  
Kuldip Singh Sangwan ◽  
Jaiprakash Bhamu ◽  
Dhwani Mehta
Keyword(s):  
Factor Analysis ◽  
Empirical Study ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Ceramic Industry ◽  
Structural Model ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Motivating Factors ◽  
Content Type

Purpose – The purpose of this paper is to develop a statistically reliable and valid model of lean manufacturing (LM) implementation drivers for the Indian ceramic industry through an empirical study. Design/methodology/approach – The research methodology is based on the empirical study of the Indian ceramic industry through a questionnaire specifically developed for the study through literature review and discussions held with practitioners. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling techniques have been used to propose and validate the model. SPSS and AMOS statistical tools have been used for the statistical analysis of the data. Findings – The study identified 12 drivers for the LM implementation in Indian ceramic industry. Further, these 12 drivers have been categorized into internal, policy and external drivers (ED). Structural model affirms that ED are positively related to policy drivers (PD) and PD are positively related to internal drivers. Research limitations/implications – This study provides casual relationships among the various drivers, which can be leveraged by the managers for the easy and effective implementation of LM in their organizations. It is expected that the model will help the decision makers during LM implementation in taking informed decisions in prioritizing and sequencing the implementation strategy. The results of the research may apply to other industries as well, but this needs to be validated by collecting data and analysing its results. Practical implications – The results provide insights into motivating factors that should be focused on while taking lean decisions. The correlation results among drivers will enable the policy makers in government and industry to strategically leverage the resources for the successful implementation of LM in the industry. Originality/value – This research empirically develops a model of drivers for LM implementation. The novelty of the study is the causal relationship among the drivers which can be used for decision making to implement lean easily and effectively. Moreover, the categorization of the drivers into internal, external and policy categories and driving/driven relationship among these categories provides the top management an incisive insight into broad improvement areas.

scholarly journals Effects of Online Shopping Values and Website Cues on Purchase Behaviour: A Study Using S–O–R Framework

2017 ◽  
Vol 42 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Sanjeev Prashar ◽  
T. Sai Vijay ◽  
Chandan Parsad
Keyword(s):  
Purchase Intention ◽  
Structural Equation ◽  
Online Shopping ◽  
Structural Model ◽  
Primary Data ◽  
Survey Method ◽  
Emotional States ◽  
Model Framework ◽  
Design Elements ◽  
Shopping Behaviour

Executive Summary The e-commerce industry in India has seen unprecedented growth in last few years. Eyeing India’s substantial e-retail opportunity across multiple segments, investors have been aggressively funding the e-commerce sector. This growth has been fuelled by rapid adoption of technology, improving standards of living, an increasing young population, and economically advancing middle class, besides increasing access to the Internet through broadband and use of smartphones and tablets. The entry of global e-commerce giants has intensified the competition for home-grown players. E-retailers use web atmospherics to differentiate themselves from their competitors and evoke positive cognitive and emotional states of online consumers. However, though this Indian online market is growing at an exponential rate, it is still unexplored in terms of its shopping behaviour. Using structural equation modelling, this study applies the concept of the stimulus–organism–response to explain Indian buyers’ online shopping behaviour, besides examining the importance of design elements in enabling website satisfaction (WS). Using a survey method to test the research model, primary data were collected from five Indian metropolitan cities of Delhi, Mumbai, Kolkata, Bengaluru, and Hyderabad during the months of May and June 2015. Confirmatory factory analysis (CFA) was used to estimate the measurement model with respect to convergent and discriminant validities. This was followed by testing the structural model framework and research hypotheses. Findings suggest that both internal and external elements have direct influence on WS. As the mediating variable, WS affects purchase intention. This research highlights on why and how ‘satisfaction with website’ matters in the contribution of shopping values and website atmospherics to behavioural outcomes by presenting its mediating role.

scholarly journals A Framework for Improving Manufacturing Overall Equipment Effectiveness

2018 ◽  
Vol 7 (3.13) ◽  
pp. 149 ◽  
Author(s):  
Kam Choi Ng ◽  
Kuan Eng Chong
Keyword(s):  
Total Quality Management ◽  
Lean Manufacturing ◽  
Product Life Cycle ◽  
Manufacturing Industries ◽  
Work Place ◽  
Total Quality ◽  
Total Productive Maintenance ◽  
Key Factor ◽  
Volume Production ◽  
Comprehensive Framework

Nowadays, manufacturing is getting more and more challenging and complex due to shorter product life cycle, high mixed low volume production situation, low equipment performance and volatile customer demand.  To overcome all these detractors and rising demands from all angles, manufacturer needs to be fast and agile, as efficient and as transparent as possible.  Productivity is the key factor for company in order to become competitive advantage and securing the organization work place.  Due to this strong pressure, it forces company introduce many production programs in order to fight the battle.  Production productivity programs such as Total Quality Management (TQM), Zero Defect (ZD) initiative, Next Level of Productivity (NLoP), Lean Manufacturing (LM), total productive maintenance (TPM) and Toyota Production System (TPS) are well-known to many manufacturing industries.  OEE topic has become progressively popular and widely used to improve productivity and as a research discussion in operation management.  However, OEE framework for previous studies was developed on a piecemeal basis.  This paper presents a new and complete conceptual framework that illustrates the most important factors that influence and contribute to OEE improvement.  The comprehensive framework is able to provide effective guidance and direction to industry practitioner on how to improve OEE.  

scholarly journals Using Structural Equation Modeling to Evaluate Tourists’ Revisit Intention toward Ecotourism Sites

2020 ◽  
Vol 5 (15) ◽  
pp. 229-236
Author(s):  
Heng Zhang ◽  
Nam Nguyen-Dinh ◽  
Zhi-Wei Pan
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Structural Model ◽  
Publishing House ◽  
Research Direction ◽  
Equation Modeling ◽  
Measurement Models ◽  
Revisit Intention ◽  
International Publishing ◽  
The Relationship

This study aims to clarify the relationship between three behaviours toward ecotourism sites include “ecotourism attitude,” “ecotourism experience,” and “revisit intention.” The structural equation modeling was used to evaluate how the attitude of ecotourism and the visit experience impact the tourists’ revisit intention. The analysis indicated that three constructs logically are suitable for the research direction after the test of the validity of measurement models. The structural model revealed that both “ecotourism attitude” and “ecotourism experience” positively influence “revisit intention.” Especially, “experience” also plays as a mediator, which causes the indirect effect of ecotourism attitude on revisit intention. Keywords: Ecotourism attitude; Ecotourism experience; Revisit intention. eISSN: 2398-4287© 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/ebpj.v5i15.2459.

Sign in / Sign up

Export Citation Format

Share Document