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.

The impact of information security initiatives on supply chain robustness and performance: an empirical study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sindhuja P.N.
Keyword(s):  
Supply Chain ◽  
Information Security ◽  
Supply Chains ◽  
Structural Equation ◽  
Essential Element ◽  
Equation Modeling ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
Supply Chain Robustness

Purpose Information security is an essential element in all business activities. The damage to businesses from information security breaches has become pervasive. The scope of information security has widened as information has become a critical supply chain asset, making it more important to protect the organization’s data. Today’s global supply chains rely upon the speedy and robust dissemination of information among supply chain partners. Hence, processing of accurate supply chain information is quintessential to ensure the robustness and performance of supply chains. An effective information security management (ISM) is deemed to ensure the robustness of supply chains. The purpose of the paper is to examine the impact of information security initiatives on supply chain robustness and performance. Design/methodology/approach Based on extant literature, a research model was developed and validated using a questionnaire survey instrument administered among information systems/information technology managers. Data collected were analyzed using exploratory and confirmatory factor analysis. Further, to test the hypotheses and to fit the theoretical model, Structural equation modeling techniques were used. Findings Results of this study indicated that information security initiatives are positively associated with supply chain robustness and performance. These initiatives are likely to enhance the robustness and performance of the supply chains. Originality/value With the advancements in internet technologies and capabilities as well as considering the dynamic environment of supply chains, this study is relevant in terms of the capability that an organization needs to acquire with regards to ISM. Benefiting from the resource dependency theory, information security initiatives could be considered as a critical resource having an influence on the internal and external environment of supply chains.

scholarly journals The Analysis of Vertical Transaction Behavior and Performance Based on Automobile Brand Trust in Supply Chain

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Guanglan Zhou ◽  
Yulian Fei ◽  
Jun Hu
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Empirical Test ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Brand Trust ◽  
Mutual Relationship ◽  
Business Behavior ◽  
And Performance

The nontrust behaviors among the automobile supply chain members lead to a trust crisis situation. Under such circumstances, this paper studies the mutual influences of trust, enterprise behavior, and transaction performance on the independent brand automobile supply chain. The business behavior concept which consists of information sharing, joint action, and specific asset investment is proposed. Then, the paper tests the reliability and validity of the collected data through Structural Equation Modeling (SEM). Through empirical test and analysis on mutual relationship among vertical transaction enterprise behaviors, trust, and transaction performance, the vertical transaction enterprise behaviors can be regulated, so as to improve the efficiency of independent brand automobile supply chain.

Total productive maintenance, kaizen event, and performance

2018 ◽  
Vol 35 (9) ◽  
pp. 1853-1867 ◽  
Author(s):  
Nurul Fadly Habidin ◽  
Suzaituladwini Hashim ◽  
Nursyazwani Mohd Fuzi ◽  
Mad Ithnin Salleh
Keyword(s):  
Automotive Industry ◽  
Structural Equation ◽  
Empirical Test ◽  
Reliability And Validity ◽  
Equation Modeling ◽  
Total Productive Maintenance ◽  
Content Type ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this paper is to determine the relationship between total productive maintenance (TPM), kaizen event (KE) and innovation performance (IP) for Malaysian automotive industry using structural equation modeling (SEM). Design/methodology/approach The samples were selected from the list of Proton and Perodua automotive industry. The number of collected respondents was 238 respondents. An SEM technique was used in the study. In order to test the reliability and validity of the instrument, reliability analysis, exploratory and confirmatory factor analysis were conducted. Findings Based on the results, KE does not affect the relationship between TPM and IP. However, the impact of TPM on IP increases with mediating of KE for Malaysian automotive industry. Thus, this study has shown that empirical test results prove that the implementation of TPM and KE has improved the IP for Malaysian automotive industry. Research limitations/implications This study only focused on the Malaysian automotive industry. The other limitation in this research is the number of factors and limited measurement in this study. Only a few TPM, KE and IP measurements were considered. By using the SEM technique, four TPM constructs, three for KE constructs and three for IP measures were developed and verified. Therefore, this study can assist the researchers and practitioners to the practice of TPM, KE and IP for Malaysian automotive industry. Originality/value This research provides fundamental knowledge and direction for researchers in further research as well as practitioners to constantly improve IP through the implementation of TPM and KE for Malaysian automotive industry.

The Impact of Service Satisfaction, Relational Satisfaction and Commitment on Customer Loyalty in Logistics Outsourcing Relationship

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Sanjit Singh H.
Keyword(s):  
Customer Loyalty ◽  
Structural Equation ◽  
Structural Model ◽  
Reliability And Validity ◽  
Service Satisfaction ◽  
Equation Modeling ◽  
Relational Satisfaction ◽  
Logistics Outsourcing ◽  
Major Predictor ◽  
The Impact

This research explores the impact of service satisfaction, relational satisfaction, price satisfaction, and commitment on customer loyalty in logistics outsourcing relationships in Indian scenario. 254 users of logistics services from India were selected for investigating the potential linkages among the aforementioned satisfaction aspects and loyalty. Structural equation modeling (SEM) was employed to test the reliability and validity of the measurement and structural model developed to study the relationship among the linkages. Findings from the study supports that logistics service satisfaction, price satisfaction, relational satisfaction and commitment do influence loyalty positively. The analysis suggests that service satisfaction is the most important antecedent having primary influence in the formation of customer loyalty. Service satisfaction also has secondary influence on loyalty by acting as a strong driver in both relational satisfaction and commitment aspects of the service dimensions. Price satisfaction though positively been driven by service satisfaction, was found to have less significant effect as a predictor of loyalty in this context. The present study suggests that relational satisfaction is the second major predictor of loyalty which also drives commitment. This research is not an end-point but an attempt to establish the linkages and the effect among the antecedents driving the building and retention of good buyer-seller relationship in logistics outsourcing.

scholarly journals Application of Blockchain for Supply Chain Financing: Explaining the Drivers Using SEM

2021 ◽  
Vol 7 (3) ◽  
pp. 167
Author(s):  
Mohammad Rokibul Kabir ◽  
Md. Aminul Islam ◽  
Marniati ◽  
Herawati
Keyword(s):  
Supply Chain ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Research Work ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Innovation Research ◽  
Supply Chain Financing ◽  
The Impact

Owing to the lack of research in emerging Asian nations, this research aimed to unearth the determinants of blockchain acceptance for supply chain financing by a Bangladeshi financing company called IPDC. Centred on a technology acceptance framework called UTAUT (unified theory of acceptance and use of technology) and open innovation research, an expanded model with a mediating variable is developed for this study. This research work employs the deductive inference method in conjunction with the positivism paradigm. A structural questionnaire was used to gather data, which were then processed through Smart-PLS (partial least square) for SEM (structural equation modeling). The survey includes all the people who are directly or indirectly involved in the supply chain financing platform of IPDC. The study consists of seven direct hypotheses and one mediating hypothesis. The results show that all the direct hypotheses except the impact of social influence on the behavioural intention to use (BINTU) blockchain are significant. The mediating hypothesis indicating the role of BINTU in the relationship between facilitating conditions (FCON) and the actual use of blockchain is also supported. FCON and BINTU together explain 88.7% variation in blockchain use behaviour for supply chain financing. The research advances past findings by employing an expanded UTAUT framework and validating observations with the other relevant studies throughout the world.

Supply chain integration and its impact on sustainability

2018 ◽  
Vol 118 (9) ◽  
pp. 1749-1765 ◽  
Author(s):  
Mingu Kang ◽  
Ma Ga (Mark) Yang ◽  
Youngwon Park ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Management Practices ◽  
Social Performance ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Content Type ◽  
New Perspective ◽  
And Performance ◽  
And Function

Purpose The purpose of this paper is to examine the role of supply chain integration (SCI) in improving sustainability management practices (SMPs) and performance. Design/methodology/approach Based on data collected from 931 manufacturing firms in multiple countries and regions, the authors conducted a structural equation modeling analysis to test the proposed hypotheses. Findings The findings suggest that supplier and customer integration are vital enablers for both intra- and inter-organizational SMPs. The results also reveal that both intra- and inter-organizational SMPs are significantly and positively associated with sustainability performance (i.e. economic, environmental and social performance) and function as complements to jointly enhance environmental and social performance. Originality/value This study incorporates SCI into the sustainability literature, providing a new perspective on sustainability and supply chain management research.

scholarly journals The Influence of Information Interaction Behavior on Value Co-Creation Business Model of Online Education Enterprises Performances from the Perspective of Supply Chain

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Jingjing Lv ◽  
Nan Wang ◽  
Shaoxin Xiang
Keyword(s):  
Supply Chain ◽  
Online Education ◽  
Business Model ◽  
Questionnaire Survey ◽  
Positive Impact ◽  
Reliability And Validity ◽  
Survey Method ◽  
Information Interaction ◽  
And Performance ◽  
The Impact

This paper analyzes the impact of information interaction ability on the value co-creation business model of online education enterprises from the perspective of supply chain. Integrate the perspective of supply chain and summarize the content of supply chain capability and performance. This paper analyzes the connotation and shortcomings of information interaction ability, combines the connotation of value co-creation to maximize the advantages of information interaction, assumes the impact of information interaction on value co-creation through questionnaire survey method, uses software to analyze the reliability and validity of data, and proves that the data are reasonable. Information interaction has a positive impact on the value co-creation business model of online education enterprises.

scholarly journals The Impact of Sport Financial Sponsorship on Brand Equity and Performance: Structural Equation Modeling (SEM) Approach

2019 ◽  
Vol 7 (3) ◽  
pp. 0-0
Author(s):  
Mohammad Zarei Mahmoudabadi ◽  
◽  
Mohammad Keshtidar ◽  
Seyed Mohammad Javad Razavi ◽  
◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Brand Equity ◽  
Structural Equation ◽  
Equation Modeling ◽  
And Performance ◽  
The Impact

scholarly journals Impact of big data and predictive analytics capability on supply chain sustainability

2018 ◽  
Vol 29 (2) ◽  
pp. 513-538 ◽  
Author(s):  
Shirish Jeble ◽  
Rameshwar Dubey ◽  
Stephen J. Childe ◽  
Thanos Papadopoulos ◽  
David Roubaud ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Theoretical Model ◽  
Performance Measures ◽  
Structural Equation ◽  
Predictive Analytics ◽  
Equation Modeling ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
The Impact

PurposeThe purpose of this paper is to develop a theoretical model to explain the impact of big data and predictive analytics (BDPA) on sustainable business development goal of the organization.Design/methodology/approachThe authors have developed the theoretical model using resource-based view logic and contingency theory. The model was further tested using partial least squares-structural equation modeling (PLS-SEM) following Peng and Lai (2012) arguments. The authors gathered 205 responses using survey-based instrument for PLS-SEM.FindingsThe statistical results suggest that out of four research hypotheses, the authors found support for three hypotheses (H1-H3) and the authors did not find support forH4. Although the authors did not find support forH4(moderating role of supply base complexity (SBC)), however, in future the relationship between BDPA, SBC and sustainable supply chain performance measures remain interesting research questions for further studies.Originality/valueThis study makes some original contribution to the operations and supply chain management literature. The authors provide theory-driven and empirically proven results which extend previous studies which have focused on single performance measures (i.e. economic or environmental). Hence, by studying the impact of BDPA on three performance measures the authors have attempted to answer some of the unresolved questions. The authors also offer numerous guidance to the practitioners and policy makers, based on empirical results.

Family support and entrepreneurial passion: The mediating role of entrepreneurs' psychological capital

2021 ◽  
Vol 49 (3) ◽  
pp. 1-15
Author(s):  
Jian-Li Gao ◽  
Dong-Sheng Li ◽  
Mary-Louise Conway
Keyword(s):  
Family Support ◽  
Structural Equation ◽  
Psychological Capital ◽  
Equation Modeling ◽  
Mediating Role ◽  
Entrepreneurial Passion ◽  
And Performance ◽  
The Impact ◽  
The Relationship

Entrepreneurial passion is seen as a valuable predictor of entrepreneurs' behavior and performance. We explored what makes entrepreneurs passionate by adopting a qualitative research method from a social support perspective. To test our hypotheses we conducted a survey with 287 young entrepreneurs in China. Using structural equation modeling we studied the impact of three types of support from the family on entrepreneurial passion. The results show that financial support and social capital support had a stronger influence on entrepreneurial passion than did emotional support. Further, psychological capital played a partial mediating role in the relationship between family support and entrepreneurial passion. This study enhances the integrity of previous research conclusions on entrepreneurial passion and, in particular, provides further insight into the development of nascent entrepreneurs and their new businesses.

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