Structural equation modeling of E-supplier selection criteria in mechanical manufacturing industries

2021 ◽  
pp. 127597
Author(s):  
Ramesh Kumar Garg
Keyword(s):  
Structural Equation Modeling ◽  
Supplier Selection ◽  
Structural Equation ◽  
Selection Criteria ◽  
Manufacturing Industries ◽  
Equation Modeling

Supply management integration model for Indian manufacturing industries

2016 ◽  
Vol 36 (7) ◽  
pp. 781-802 ◽  
Author(s):  
Sudeep Kumar Pradhan ◽  
Srikanta Routroy
Keyword(s):  
Supplier Selection ◽  
Structural Equation ◽  
Manufacturing Industries ◽  
Supply Management ◽  
Equation Modeling ◽  
Manufacturing Environment ◽  
Integration Model ◽  
Content Type ◽  
Key Drivers ◽  
Positive Direct

Purpose – The purpose of this paper is to identify and develop the structural relationship among the key drivers to control and enhance the supply management (SM) performance in Indian manufacturing environment. Design/methodology/approach – The drivers (i.e. sourcing alternatives and supplier selection, supplier development (SD), contract management (CM) and risk management (RM)) of SM were identified and SM integration model was proposed through literature review and in consultation with industry experts. The proposed model was validated by capturing experts’ view in Indian manufacturing environment. The strength of relationships between these drivers and on SM performance was also established using structural equation modeling. Findings – CM has positive direct effect on SM performance and two drivers (i.e. sourcing alternatives and supplier selection, and SD) have positive indirect effect mediated by CM. Whereas, RM has direct and indirect (mediated by CM) positive effect on SM performance in Indian manufacturing environment. Research limitations/implications – This model can be validated for manufacturing industries in other countries. Practical implications – This model provides a comprehensive relationship among four drivers of SM and shows the direction for designing and implementing appropriate policies in order to enhance the SM performance in Indian manufacturing environment. Originality/value – Although many issues related to SM have been widely researched, but no literature has been reported related to SM integration model consisting of its drivers in general and in Indian manufacturing environment in specific. The key drivers of SM were identified and their relative importance was analyzed in Indian manufacturing environment.

scholarly journals Effect of Supplier Selection on Supplier Performance for Project Success with the Structural Equation Modeling Approach

2019 ◽  
Vol 5 ◽  
Author(s):  
Puji Pramono ◽  
Hana Catur Wahyuni
Keyword(s):  
Structural Equation Modeling ◽  
Supplier Selection ◽  
Structural Equation ◽  
Project Success ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
P Value ◽  
Performance Variable ◽  
Supplier Performance

In effort to minimize project failures (time delay) arising from due to supplier selection errors that have an impact on low performance and low potential for successful projects. This study aims to find out how strong the influence of supplier selection is right and correlates with good performance so thatthe project's success can be achieved. By using the SEM (Structural Equation Modeling) method in a PLS (Partial Least Square) application by examining the relationship between factors on the criteria of quality supplier selection that is expected to have an impact on the performance of a good supplier, and later can be related to the potential success of the project. Test results on Bootstrapping obtained the value of T-Value and P-Value in the 1st Hypothesis, namely, T-Statistics 0.829 and P-Value 0.407, the supplier performance variable (X2) did not affect the project success variable (Y1). The second hypothesis is, with a T-Statistical value of 2.094 and a P-Value of 0.037, the Supplier Selection (X1) has a significant effect on the project success variable (Y1). The third hypothesis is, with a T-Statistic value of 8.306 and a value of P-Value 0,000, Supplier Selection (X1) has a significant effect on the Supplier Performance variable (X2).

Validation of demand pull strategies for accomplishing sustainable development in manufacturing organizations through structural equation modeling

2018 ◽  
Vol 56 (5) ◽  
pp. 1135-1156 ◽  
Author(s):  
Anuj Singla ◽  
Inderpreet Singh Ahuja ◽  
Amanpreet Singh Sethi
Keyword(s):  
Sustainable Development ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Technological Development ◽  
Manufacturing Industries ◽  
Equation Modeling ◽  
Clear Understanding ◽  
Content Type ◽  
Demand Pull ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to investigate as well as select various significant demand pull (DP) strategies affecting sustainable development (SD) in manufacturing organizations. The study deploys the structural equation modeling (SEM) technique to empirically validate the interrelationships between significant DP strategies and SD indicators in an SEM-DP Model. Design/methodology/approach Confirmatory factor analysis approach is applied to generate an effective SEM-DP model using the AMOS 21 (Analysis of Moment Structures) software. The data have been collected from different manufacturing organizations practicing DP strategies, using a well-framed DP questionnaire for the evolution of the SEM-DP model. Findings SEM of various DP strategies like stringent implementation of government regulations (SIGR), transforming capabilities, unionized labor (UL), and customer attributes (CA) toward achieving SD in manufacturing industries has been performed. The SEM-DP model has been planned and reports obtained before and after modification indices of the model are correlated, which further establishes improvements in the model’s effectiveness. The research concludes that significant DP strategies, namely, SIGR, UL, and CA support the manufacturing industries in accomplishing SD in terms of competitiveness, business performance enhancements, flexibility, customer satisfaction, and technological development. Research limitations/implications In the present study, contributions of DP practices are determined to accomplish SD in Indian manufacturing organizations only. Hence, the results obtained may need some modifications before applying to other countries. Moreover, issue-wise independent modeling can also be performed to assess the importance of DP practices under specific orientations. Social implications The results of various interrelationships among DP practices and SD indicators in the SEM-DP model portray the effectiveness of DP practices for achieving organizational goals and social commitments. Originality/value The outcomes of the study will help DP practitioners, organizational managers, and HR executives in the manufacturing industries to develop a clear understanding about the significant DP strategies to be followed holistically for accomplishing SD. The manufacturing enterprises will be able to frame and organize their policies, handle their UL issues and CA in a more appropriate way. Hence, the knowledge obtained from present study will help improve the overall performance of manufacturing industries involved in the present context.

Validation of technology push strategies for achieving sustainable development in manufacturing organizations through structural equation modeling

2018 ◽  
Vol 15 (1) ◽  
pp. 72-93 ◽  
Author(s):  
Anuj Singla ◽  
Inderpreet Singh Ahuja ◽  
APS Sethi
Keyword(s):  
Sustainable Development ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Corporate Strategy ◽  
Manufacturing Industries ◽  
Equation Modeling ◽  
Content Type ◽  
Development Indicators ◽  
Sustainable Development Indicators ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to investigate and select various significant technology push (TP) strategies affecting sustainable development in manufacturing organizations. The study deploys structural equation modeling (SEM) technique to empirically validate the interrelationships amongst significant TP strategies and sustainable development indicators in SEM-TP Model. Design/methodology/approach Confirmatory factor analysis approach is utilized to generate an effective SEM-TP Model by using AMOS 21 (Analysis of Moment Structures) software. The data have been collected from different manufacturing organizations practicing TP strategies, using a well-framed TP questionnaire for the evolution of SEM-TP Model. Findings SEM modeling of various TP strategies like, innovative capability (IC), research and development, corporate strategy (CS) and export orientation towards achieving sustainable development in manufacturing industries has been performed. SEM-TP Model has been planned and reports obtained before and after modification indices (MI) of the model are correlated, which further establishes improvements in model’s effectiveness. The research concludes that two TP strategies namely, IC and CS are found to be significant in the present context. These strategies have emerged as a foundation for several development initiatives and actively support manufacturing industries in achieving sustainable development. The results obtained from final model may support organizational managers and TP practitioners to improve the overall performance of manufacturing industries involved in the present study. The manufacturing enterprises will be able to frame or enhance their corporate strategies and innovative capabilities in a more appropriate way. Research limitations/implications In the present study, contributions of TP practices are determined to accomplish sustainable development in manufacturing industries. Otherwise, issue-wise independent modeling can also be performed to assess the importance of TP practices towards achieving quality and sustainable development under specific orientations. Practical implications The research gives priority to enhancement in the coordination among various TP practices and sustainable development parameters in the industries, to inculcate TP as a crucial strategy to meet challenges in global markets. Social implications It has been exhibited from model that adequate TP strategies can effectively contribute towards recognition of sustainable development to compete in the highly progressive markets. The results of various interrelationships among TP practices and sustainable development indicators in SEM-TP Model portray the effectiveness of TP practices for accomplishment of organizational and social ambitions. Originality/value The outcomes of the study will help organizational managers, HR executives and TP practitioners in manufacturing industries to know about the significant TP strategies to be followed holistically for achieving sustainable development.

scholarly journals Encapsulation of a Decision-Making Model to Optimize Supplier Selection via Structural Equation Modeling (SEM)

2016 ◽  
Vol 32 ◽  
pp. 012033
Author(s):  
Ruzanna Sahul Hameed ◽  
Sivadass Thiruchelvam ◽  
Kamal Nasharuddin Mustapha ◽  
Zakaria Che Muda ◽  
Norhayati Mat Husin ◽  
...  
Keyword(s):  
Decision Making ◽  
Structural Equation Modeling ◽  
Supplier Selection ◽  
Structural Equation ◽  
Equation Modeling ◽  
Decision Making Model

Testing the Assumption of Uncorrelated Errors for Short Scales by Means of Structural Equation Modeling

2014 ◽  
Vol 35 (4) ◽  
pp. 201-211 ◽  
Author(s):  
André Beauducel ◽  
Anja Leue
Keyword(s):  
Structural Equation Modeling ◽  
Negative Correlation ◽  
Structural Equation ◽  
Error Score ◽  
Classical Test Theory ◽  
Test Theory ◽  
Equation Modeling ◽  
Eysenck Personality Questionnaire ◽  
Personality Questionnaire ◽  
True Score

It is shown that a minimal assumption should be added to the assumptions of Classical Test Theory (CTT) in order to have positive inter-item correlations, which are regarded as a basis for the aggregation of items. Moreover, it is shown that the assumption of zero correlations between the error score estimates is substantially violated in the population of individuals when the number of items is small. Instead, a negative correlation between error score estimates occurs. The reason for the negative correlation is that the error score estimates for different items of a scale are based on insufficient true score estimates when the number of items is small. A test of the assumption of uncorrelated error score estimates by means of structural equation modeling (SEM) is proposed that takes this effect into account. The SEM-based procedure is demonstrated by means of empirical examples based on the Edinburgh Handedness Inventory and the Eysenck Personality Questionnaire-Revised.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

Childhood Intelligence Predicts Adult Trait Openness

2016 ◽  
Vol 37 (2) ◽  
pp. 105-111 ◽  
Author(s):  
Adrian Furnham ◽  
Helen Cheng
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Social Background ◽  
Study Data ◽  
Equation Modeling ◽  
Direct Effects ◽  
Data Set ◽  
National Child Development Study ◽  
Nationally Representative ◽  
The Uk

Abstract. This study used a longitudinal data set of 5,672 adults followed for 50 years to determine the factors that influence adult trait Openness-to-Experience. In a large, nationally representative sample in the UK (the National Child Development Study), data were collected at birth, in childhood (age 11), adolescence (age 16), and adulthood (ages 33, 42, and 50) to examine the effects of family social background, childhood intelligence, school motivation during adolescence, education, and occupation on the personality trait Openness assessed at age 50 years. Structural equation modeling showed that parental social status, childhood intelligence, school motivation, education, and occupation all had modest, but direct, effects on trait Openness, among which childhood intelligence was the strongest predictor. Gender was not significantly associated with trait Openness. Limitations and implications of the study are discussed.

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