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

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.

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The predictor role of Internet addiction in high- risk behaviors and general health status among Alborz students: A structural equation model

Heliyon ◽

10.1016/j.heliyon.2021.e06987 ◽

2021 ◽

Vol 7 (5) ◽

pp. e06987

Author(s):

Azam Toozandehjani ◽

Zohreh Mahmoodi ◽

Mitra Rahimzadeh ◽

Alireza Jashni Motlagh ◽

Mahnaz Akbari Kamrani ◽

...

Keyword(s):

Health Status ◽

High Risk ◽

Risk Behaviors ◽

Structural Equation Model ◽

Internet Addiction ◽

Structural Equation ◽

Equation Model ◽

General Health Status ◽

High Risk Behaviors

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The effect of Job Security on Safety Behavior with the Moderating Role of Salary: A Structural Equation Model (SEM)

International Journal of Occupational Safety and Ergonomics ◽

10.1080/10803548.2021.1929697 ◽

2021 ◽

pp. 1-15

Author(s):

Mohammad Abri ◽

Shahram Vosughi ◽

Jamileh Abolghasemi ◽

Jamshid Rahimi ◽

Hossein Ebrahimi

Keyword(s):

Structural Equation Model ◽

Structural Equation ◽

Job Security ◽

Equation Model ◽

Safety Behavior ◽

Moderating Role

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Big Data Analytics in the Agribusiness Supply Chain Management

Aibi revista de investigación, administración e ingeniería ◽

10.15649/2346030x.2583 ◽

2021 ◽

Vol 9 (3) ◽

pp. 32-42

Author(s):

Marisol Valencia-Cárdenas ◽

Jorge Anibal Restrepo-Morales ◽

Francisco Javier Día-Serna

Keyword(s):

Big Data ◽

Supply Chain ◽

Supply Chain Management ◽

Structural Equation Model ◽

Inventory Management ◽

Latent Variables ◽

Structural Equation ◽

Big Data Analytics ◽

Equation Model ◽

Chain Management

Importance and impact of the systems related to Agribusiness and Agri-food, are increasing around the world and demand a paramount attention. Collaboration in the inventory management is an integral part of the supply chain management, related to proactive integration among the chain actors facilitating production and supply, in especial in the agroindustrial sector of the Departamento de Antioquia, Colombia. This research establishes the main relationships between latent variables as collaboration, technology, models, optimization and inventory management, based on a literature review and applying a Structural Equation Model to a survey data of a sample of agribusiness companies. The results show that Available Technologies associated with Big Data, generates improvement of Collaboration Strategies, improving also Forecasting and Optimization; besides, Inventory Planning and Collaboration are related to Available Technologies associated with Big Data. A Poisson regression model and a Structural Equation Model estimations detect that the increasing strategies of technologies and Big Data are favorable to apply collaboration in the supply chain management, increasing possibilities to the enterprise competitiveness.

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The Role of Website Features in Creating Loyalty

Hospitality, Travel, and Tourism ◽

10.4018/978-1-4666-6543-9.ch046 ◽

2014 ◽

pp. 780-794

Author(s):

Anil Bilgihan ◽

Anupama Sukhu ◽

Jay Kandampully

Keyword(s):

Theoretical Model ◽

Structural Equation Model ◽

Important Implication ◽

Structural Equation ◽

Online Survey ◽

Equation Model ◽

Consumer Loyalty ◽

Web Based ◽

Website Features

This study integrates shopping value dimensions and consumers' commitment to a theoretical model to understand consumer loyalty to e-shopping. E-commerce is established as an efficient sales platform for travel and hospitality vendors. However, extant literature found that it is difficult to attract new customers and retain existing customers in e-commerce. This paper investigates the antecedents of customer loyalty in e-commerce. An online survey with (n=520) was conducted with randomly selected US consumers. A structural equation model reveals that hedonic and utilitarian shopping values determine affective and calculative commitment of e-shoppers which in turn influence consumers' loyalty towards e-shopping. This study contributes to the present literature and provides important implication towards e-tailers and website developers. It is important to fulfill e-shoppers' hedonic and utilitarian needs to gain e-loyalty. Web based hospitality service offerings should provide a convenient and pleasing online environment to gain consumer e-loyalty.

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Role of Human Resources, Production Process, and Flexibility on Commercial Benefits From AMT Investments

10.4018/978-1-6684-3873-2.ch040 ◽

2022 ◽

pp. 760-790

Author(s):

Jorge Luis García-Alcaráz ◽

Emilio Jiménez-Macías ◽

Arturo Realyvásquez-Vargas ◽

Liliana Avelar Sosa ◽

Aide Aracely Maldonado-Macías

Keyword(s):

Human Resources ◽

Production Process ◽

Direct Effect ◽

Latent Variables ◽

Structural Equation ◽

Equation Model ◽

Manufacturing Companies ◽

Advanced Manufacturing Technologies ◽

Manufacturing Technologies

Advanced manufacturing technologies (AMT) acquisition by maquiladoras (foreign-owned manufacturing companies) is a tendency that allows these companies to maximize their commercial benefits. However, it remains unclear how the AMT implementation impacts on their performance. In addition, this research studies 383 responses to a questionnaire about the AMT implementation in the Mexican maquiladora industry and reports an analysis with four latent variables associating obtained benefits after the AMT implementation—human resources, flexibility, production process, and commercial benefits—where their relationships are evaluated through six hypotheses using a structural equation model (SEM). Finally, the outcomes demonstrated that AMT benefits for human resources have a direct effect on flexibility, production process, and commercial benefits. However, the direct effect from human resources benefits, knowledge, and experience on commercial benefits are acquired through indirect effects, using flexibility and production process as mediator variables.

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Constructing Structural Equation Model Rule-Based Fuzzy System with Genetic Algorithm

International Journal of Strategic Decision Sciences ◽

10.4018/ijsds.2016040105 ◽

2016 ◽

Vol 7 (2) ◽

pp. 69-88 ◽

Cited By ~ 2

Author(s):

EnDer Su ◽

Thomas W. Knowles ◽

Yu-Gin Fen

Keyword(s):

Genetic Algorithm ◽

Risk Factor ◽

Structural Equation Model ◽

Latent Variables ◽

Structural Equation ◽

The United States ◽

Equation Model ◽

Lower State ◽

Inference System ◽

United States Dollar

The present study uses the structural equation model (SEM) to analyze the correlations between various economic indices pertaining to latent variables, such as the New Taiwan Dollar (NTD) value, the United States Dollar (USD) value, and USD index. In addition, a risk factor of volatility of currency returns is considered to develop a risk-controllable fuzzy inference system. The rational and linguistic knowledge-based fuzzy rules are established based on the SEM model and then optimized using the genetic algorithm. The empirical results reveal that the fuzzy logic trading system using the SEM indeed outperforms the buy-and-hold strategy. Moreover, when considering the risk factor of currency volatility, the performance appears significantly better. Remarkably, the trading strategy is apparently affected when the USD value or the volatility of currency returns shifts into either a higher or lower state.

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