Structural equation modeling of lean manufacturing practices in a developing country context

2019 ◽  
Vol 30 (1) ◽  
pp. 122-145 ◽  
Author(s):  
Fayiz Dahash Shrafat ◽  
Mohammad Ismail
Keyword(s):  
Structural Equation Modeling ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Statistical Processing ◽  
Equation Modeling ◽  
Significant Implication ◽  
Sampling Frame ◽  
Statistical Process ◽  
Content Type ◽  
Lean Practices

PurposeThe purpose of this paper is to empirically examine lean manufacturing (LM) practices and to quantify their impact on business performance (BP), with particular emphasis on the mediating role of operational performance (OP) in deriving the BP benefits commonly linked with LM. It also seeks to identify those lean practices most appropriate for application.Design/methodology/approachEmpirical data on LM practices were collected using a structured survey questionnaire. The sampling frame was Jordanian companies registered and listed by the Amman Chamber of Commerce. In total, 500 questionnaires were distributed among 300 companies and a total of 249 completed questionnaires were eligible for statistical processing, a response rate of 49.8 percent. Invalid questionnaires were eliminated, leaving 228 usable. The theoretical relations were tested by structural equation modeling.FindingsAlthough the results of the statistical analysis indicate a positive and significant impact of implementing LM practices on both OP and BP, they also show that the various LM practices did not receive equal recognition among the organizations surveyed. The most commonly adopted lean principles were found to be total preventive maintenance, statistical process control and housekeeping 5S.Research limitations/implicationsOther lean practices have not been considered as a dimension in this study. However, it opens new avenues of investigation relevant to lean practices.Practical implicationsThe most significant implication of the study is that managers in manufacturing firms should place more emphasis on LM practices when developing strategies for leveraging performance. The study shows that the LM approach contributes to BP when LM practices are simultaneously implemented.Originality/valueThe originality of this study lies in the new context in which it was conducted. The study adds value by investigating the implementation of LM practices which have been transferred from developed to developing countries and by empirically examining their impact on key performance indicators within the Jordanian manufacturing sector.

Lean manufacturing and operational performance

2019 ◽  
Vol 31 (2) ◽  
pp. 217-235 ◽  
Author(s):  
Juan Carlos Hernandez-Matias ◽  
Jared R. Ocampo ◽  
Antonio Hidalgo ◽  
Antonio Vizan
Keyword(s):  
Lean Manufacturing ◽  
Structural Equation ◽  
Operational Performance ◽  
Equation Modeling ◽  
Content Type ◽  
International Firms ◽  
Manufacturing Operations ◽  
Lean Practices ◽  
Key Factor ◽  
And Performance

Purpose Lean manufacturing (LM) constitutes a consolidated alternative that has been successfully used to increase company effectiveness and performance. However, different studies have shown that many companies that attempt to integrate LM into their manufacturing operations fail in their efforts. Recent studies have shown that soft practices are a key factor for a successful LM implementation. The purpose of this paper is to analyze an in-depth review of the different human-related lean practices (HRLP) referenced in the recent literature and to identify which of them are more relevant to a successful LM implementation. Design/methodology/approach The findings presented in this paper are based on the results of a study about the situation of LM in Spain carried out with lean production managers and frontline supervisors of 202 Spanish companies with a high percent (74 percent) of international firms with factories in different countries. The implemented methodology uses factor analysis and structural equation modeling. Findings The results shows statistical evidence of the relationship between management’s HRLP (fostering a lean culture, providing support to lean), employees’ HRLP (employee involvement and employee empowerment) and operational performance (OP) (waste reduction and flexibility). Practical implications The results have academic and practical relevance for clarifying lean phenomena, helping managers to define a sequence in which a company should implement HRLP to successfully implement LM and increase its OP. Originality/value This study fills a research gap by exploring the existing causal relationships between a greater number of variables, both dependent and independent in relation to human factors in LM implementations.

Modeling lean manufacturing success

2018 ◽  
Vol 13 (4) ◽  
pp. 908-931 ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Masood Fathi ◽  
Dalila Benedita Machado Martins Fontes ◽  
Ng Tan Ching
Keyword(s):  
Structural Equation Modeling ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Human Resources Management ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Future Research ◽  
Management Support ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose The purpose of this study is to contribute to the existing knowledge about the process of achieving Lean Manufacturing (LM) success. Design/methodology/approach This study uses interpretive structural modeling and captures the opinions of a group of LM experts from a world-class Japanese automobile manufacturer, to map the interrelationships among potential determinants of LM success. This study further uses the data from a survey of 122 leading automobile part manufacturers by performing structural equation modeling to empirically test the research model proposed. Findings Management support and commitment, financial resources availability, information technology competence for LM, human resources management, production process simplicity, supportive culture and supply chain-wide integration are the key determinants that directly or indirectly determine the level of achievement of LM success. Research limitations/implications The determinants of LM success as experienced by Asian automobile manufacturers might be different from determinants of LM success as experienced by Western automobile manufacturers. An interesting direction for future research would be to capture the experts’ inputs from Western automobile manufacturers to complement the findings of this study. Practical implications The practical contribution of this study lays in the development of linkages among various LM success determinants. Utility of the proposed interpretive structural modeling and structural equation modeling methodologies imposing order, direction and significance of the relationships among elements of LM success assumes considerable value to the decision-makers and LM practitioners. Originality/value Building on opinions of a group of LM experts and a case study of leading auto part manufacturers, the present study strives to model the success of LM, a topic that has received little attention to date.

Investigating the impacts of ISO 9001 certification on lean manufacturing and supply chain relationship: an empirical analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Assadej Vanichchinchai
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Empirical Analysis ◽  
Lean Manufacturing ◽  
Structural Equation ◽  
Design Methodology ◽  
Management Practices ◽  
Iso 9001 ◽  
Equation Modeling ◽  
Content Type

Purpose This research examines the impacts of ISO 9001 certification on lean manufacturing (LM), supply chain relationship (SCR) and their sub-constructs Design/methodology/approach Data was collected from 516 manufacturers in Thailand. Structural equation modeling was applied to analyze the hypotheses Findings It was found that ISO 9001 certification significantly affects overall LM, its facility and quality sub-constructs, overall SCR, its supplier coordination, customer collaboration and customer coordination sub-constructs. ISO 9001 has insignificant impacts on production, purchasing and distribution of LM, and supplier collaboration of SCR. Originality/value This study is one of the first research to present insights into the impacts of ISO 9001 as a certificate rather than as a set of management practices on LM, SCR and their sub-constructs

The sequence of implementation of reconfigurability core characteristics in manufacturing systems

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Isabela Maganha ◽  
Cristovao Silva ◽  
Luis Miguel D.F. Ferreira
Keyword(s):  
Structural Equation ◽  
Manufacturing Systems ◽  
Statistical Processing ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Sampling Frame ◽  
Content Type ◽  
The Core ◽  
Core Characteristics

PurposeThe objective of this study is to propose a sequence of implementation of the core characteristics of reconfigurability: modularity, integrability, diagnosability, adaptability and customization. For this purpose, the relationships among the core characteristics and Industry 4.0 technologies are analyzed as well as the impacts of one core characteristic on another.Design/methodology/approachThis study presented tests and validated two hypothesized models based on the literature. This paper was based on a questionnaire survey. Portuguese manufacturing companies were the sampling frame. In total, 600 questionnaires were distributed and a total of 112 responses were eligible for statistical processing, representing a response rate of 18.7%. Structural equation modeling (SEM) was used to hypothesize the sequence of implementation of the core characteristics of reconfigurability.FindingsThe findings presented a roadmap to implement reconfigurability, which implies significant managerial contributions on how to make the transition from conventional to reconfigurable manufacturing systems (RMSs). This highlights the importance of the sequence of implementation of the core characteristics in order to make the most of each to achieve reconfigurability.Originality/valueImplementing reconfigurability is crucial to manufacturing companies to respond to changes in production requirements and market fluctuations quickly. However, there is a gap between theory and practice in regard to achieve reconfigurability in existing manufacturing systems. This gap includes (1) understanding the type of relationships among the core characteristics of reconfigurability, (2) understanding the influence that one core characteristic has on another and (3) establishing a sequence of implementation for the core characteristics. This study makes a contribution to fill this gap in the research area.

Application of lean practices in small and medium-sized food enterprises

2013 ◽  
Vol 116 (1) ◽  
pp. 125-141 ◽  
Author(s):  
Manoj Dora ◽  
Dirk Van Goubergen ◽  
Maneesh Kumar ◽  
Adrienn Molnar ◽  
Xavier Gellynck
Keyword(s):  
Food Processing ◽  
Lean Manufacturing ◽  
Raw Materials ◽  
Current Status ◽  
Food Sector ◽  
Statistical Process ◽  
Content Type ◽  
Lean Practices ◽  
The Status ◽  
Manufacturing Techniques

Purpose – Recent literature emphasizes the application of lean manufacturing practices to food processing industries in order to improve operational efficiency and productivity. Only a very limited number of studies have focused on the implementation of lean manufacturing practices within small and medium-sized enterprises (SMEs) operating in the food sector. The majority of these studies used the case study method and concentrated on individual lean manufacturing techniques geared towards resolving efficiency issues. This paper aims to analyze the status of the lean manufacturing practices and their benefits and barriers among European food processing SMEs. Design/methodology/approach – A structured questionnaire was developed to collect data. A total of 35 SMEs' representatives, mostly CEOs and operations managers, participated in the survey. The study investigated the role of two control variables in lean implementation: size of the company and country of origin. Findings – The findings show that lean manufacturing practice deployment in food processing SMEs is generally low and still evolving. However, some lean manufacturing practices are more prevalent than others; e.g. flow, pull and statistical process control are not widely used by the food processing SMEs, whereas total productive maintenance, employee involvement, and customer association are more widespread. The key barriers encountered by food SMEs in the implementation of lean manufacturing practices result from the special characteristics of the food sector, such as highly perishable products, complicated processing, extremely variable raw materials, recipes and unpredictable demand. In addition, lack of knowledge and resources makes it difficult for food processing SMEs to embark on the lean journey. Originality/value – The gap in the literature regarding the application of lean manufacturing in the food sector is identified and addressed in this study. The originality of this paper lies in analyzing the current status of the use of lean manufacturing practices among food SMEs in Europe and identifying potential barriers.

Teachers' digital technology access to motivation, skills and use: a structural equation modeling study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Akhmad Habibi ◽  
Mohd Faiz Mohd Yaakob ◽  
Amirul Mukminin ◽  
Muhaimin Muhaimin ◽  
Lantip Diat Prasojo ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Digital Technology ◽  
Structural Equation ◽  
Structural Model ◽  
Teaching Experience ◽  
Equation Modeling ◽  
Technology Access ◽  
School Location ◽  
Content Type ◽  
Instructional Use

PurposeThe current study aimed to develop and validate a scale to model factors affecting digital technology access for instructional use. The scale was mainly used to assess the structural model. Besides, tests of difference were addressed regarding digital technology access for instructional use based on gender, teaching experience and school location.Design/methodology/approachThe authors implemented a survey design in this study. A scale based on prior studies was developed, validated and piloted. The pilot study data were computed for an exploratory factor analysis. Further, partial least squares structural equation modeling (PLS-SEM) and t-test procedures were used for the main data analysis (n.2677). The authors also included the importance-performance map analysis to extend of the results of the PLS-SEM.FindingsThe findings of the study successfully assessed the validity and reliability of the scale. All hypothetical relationships in the structural model were positively significant. The t-test results show that teaching experience and school location were significantly different regarding instructional use access; however, an insignificant difference emerged based on gender.Practical implicationsFailure in technology integration is possible if policies have not been carefully prepared. Therefore, users' perception is an essential factor in determining technology integration, including access to digital technology.Originality/valueThis research has the potential to enhance the understanding of access to digital technology in the context of developing countries by the elaboration of the proposed model's instrument development and validation, path analysis assessment and difference test examination with a large sample size. Also, the current study emphasizes the importance of raising awareness about digital technology access that the model can facilitate a valid and reliable foundation for future researchers interested in conducting similar types of research.

Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah
Keyword(s):  
Social Media ◽  
Structural Equation Modeling ◽  
Purchase Intention ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Source Credibility ◽  
Equation Modeling ◽  
Content Type ◽  
The Social ◽  
The Impact

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.

Comparing the service experience of satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model

2019 ◽  
Vol 32 (2) ◽  
pp. 301-324
Author(s):  
Matti Haverila ◽  
Kai Haverila ◽  
Mehak Arora
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Structural Equation ◽  
Design Methodology ◽  
Equation Modeling ◽  
Value For Money ◽  
Service Experience ◽  
Content Type ◽  
Survey Results ◽  
Repurchase Intent

Purpose The purpose of this study is to compare satisfied and non-satisfied customers in the context of wine tasting rooms using the SERVQUAL model and to examine the relationships in the model in terms of service experience to better understand customer needs. Design/methodology/approach The data used in this study were derived from a survey conducted among wineries in British Columbia, Canada. Analysis of survey results using the partial least squares structural equation modeling was undertaken. Sample size was 402. Findings The findings show that the SERVQUAL constructs that had the most impact on customer satisfaction and dissatisfaction were tangibility and assurance. Somewhat surprisingly, the perceived value for money construct was not significantly related to customer satisfaction but was significantly related to repurchase intent. Furthermore, all SERVQUAL constructs, except the reliability construct, were significantly related to customer satisfaction. Originality/value This study provides an overview of how wineries can improve their services to increase the number of satisfied customers.

Structural equation modeling of residents' attitudes and tourism development: a SET based - study of the Kashmir region in India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ali Bhat ◽  
Kakali Majumdar
Keyword(s):  
Structural Equation Modeling ◽  
Social Exchange ◽  
Structural Equation ◽  
Social Exchange Theory ◽  
Tourism Development ◽  
Exchange Theory ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
The Social

PurposeThe present study tries to develop a model that assesses the factors that determine support for tourism development by residents of the Kashmir region.Design/methodology/approachPrimary data have been collected (n = 650) from the residents of the top five tourist destinations through a pre-tested questionnaire by a multistage convenient sampling method. A model has been drafted and tested through the technique of structural equation modeling by applying the social exchange theory as a theoretical framework.FindingsThe results revealed that residents who perceived more benefits were more expected to support tourism development, and residents who perceive more costs were less expected to support tourism development, thus supporting the social exchange theory.Originality/valueThe results of this study are extremely useful for the local government and tourism institutions in the future planning of tourism development and also fill the vast gap in the tourism literature with a theoretical base.

Sign in / Sign up

Export Citation Format

Share Document