Suppliers Administrative Attributes on Supplier Selection and Its Effect on Production Process and Marketing Benefits

2019 ◽  
pp. 1-25
Author(s):  
José Roberto Mendoza-Fong ◽  
Jorge Luis García-Alcaraz ◽  
Cuauhtemoc Sánchez Ramírez ◽  
Giner Alor Hernández
Keyword(s):  
Production Process ◽  
Structural Equation Model ◽  
Latent Variables ◽  
Supplier Selection ◽  
Structural Equation ◽  
Selection Process ◽  
Descriptive Analysis ◽  
Equation Model ◽  
Daily Activities ◽  
Positive Effect

The supplier selection process is one of the daily activities of purchasing departments in the maquiladora industries, but traditionally the attributes analyzed are those that can be quantified, ignoring others because its impact on the production process or on the company's revenues is unknown. This article presents a structural equation model in which three latent variables associated with administrative attributes are integrated, the benefits obtained along production process and marketing, where three hypotheses which relate them are exposed. The information is derived from a survey of 253 managers who work in maquiladoras in Mexico, thus, a descriptive analysis of the sample and the items are obtained. The hypotheses were validated according to a structural equation model and the results indicate that there is a direct and positive effect between the variables analyzed, but the most interesting due to its size, is between the profits made by the production process and the marketing benefits.

The Impact of Supplier's Administrative Attributes on Production Process and Marketing Benefits

2017 ◽  
pp. 73-91 ◽  
Author(s):  
José Roberto Mendoza Fong ◽  
Jorge Luis García-Alcaraz ◽  
Cuauhtemoc Sánchez Ramírez ◽  
Giner Alor-Hernández
Keyword(s):  
Production Process ◽  
Structural Equation Model ◽  
Latent Variables ◽  
Structural Equation ◽  
Selection Process ◽  
Descriptive Analysis ◽  
Equation Model ◽  
Daily Activities ◽  
The Impact ◽  
Positive Effect

Supplier selection process is one of the daily activities of purchasing departments in the maquiladora industries, but traditionally the attributes analyzed are those that can be quantified, ignoring others because its impact on the production process or on the company's revenues is unknown. This article presents a structural equation model in which three latent variables associated with administrative attributes are integrated, the benefits obtained along production process and marketing, where three hypotheses which relate them are exposed. The information is derived from a survey of 253 managers who works in maquiladoras in Mexico, thus a descriptive analysis of the sample and the items are obtained. The hypotheses were validated according to a structural equation model and the results indicate that there is a direct and positive effect between the variables analyzed, but the most interesting due to its size, is between the profits made by the production process and the marketing benefits.

scholarly journals The Role of Green Attributes in Production Processes as Well as Their Impact on Operational, Commercial, and Economic Benefits

2019 ◽  
Vol 11 (5) ◽  
pp. 1294 ◽  
Author(s):  
José Mendoza-Fong ◽  
Jorge García-Alcaraz ◽  
José Díaz-Reza ◽  
Emilio Jiménez-Macías ◽  
Julio Blanco-Fernández
Keyword(s):  
Production Process ◽  
Structural Equation Model ◽  
Industrial Production ◽  
Structural Equation ◽  
Economic Benefits ◽  
Equation Model ◽  
Production Processes ◽  
Before And After ◽  
Positive Effect

This paper reports a second-order structural equation model composed of four variables: the green attributes before and after an industrial production process, the operating benefits, the commercial benefits, and the economic benefits. The variables are related by means of five hypotheses and are validated statistically with information obtained from 559 responses to a questionnaire applied to the Mexican maquila industry. The model is evaluated using the technique of partial least squares and the results obtained indicate that the green attributes before and after the production process have a direct and positive effect on the obtained benefits, mostly on the operational ones. It is concluded that companies that are focused on increasing their greenness level must monitor and evaluate the existence of green attributes in their production process to guarantee benefits and make fast decisions if required due to deviations.

scholarly journals Increased Purchase Decision of Le Minerale through Perceived Quality and Brand Image

2021 ◽  
Vol 8 (2) ◽  
pp. 295-302
Author(s):  
Achmad Ramadhani ◽  
Arry Widodo
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Brand Image ◽  
Descriptive Analysis ◽  
Perceived Quality ◽  
Equation Model ◽  
Purchase Decision ◽  
Purchasing Decisions ◽  
Perception Of Quality ◽  
Positive Effect

This research determines the perceived quality effect on Le Minerale purchasing decisions through brand image in Bogor Regency. The method is quantitative with causal and descriptive types. The population is people of Bogor Regency who purchased Le Minerale and needed 100 respondents. The descriptive analysis and Structural Equation Model with SmartPLS are the research techniques. The results, perception of quality as a whole is included in good category (78.18%), brand image as a whole is included in good category, 86.80%, and overall purchasing decisions are included in good category, 78.96%. It means perceived quality has a positive effect on brand image, brand image has a positive effect on purchasing decisions and perceived quality affects purchasing decisions.

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

2018 ◽  
Vol 8 (7) ◽  
pp. 1153 ◽  
Author(s):  
José Díaz-Reza ◽  
Jorge García-Alcaraz ◽  
Liliana Avelar-Sosa ◽  
José Mendoza-Fong ◽  
Juan Sáenz Diez-Muro ◽  
...  
Keyword(s):  
Least Squares ◽  
Structural Equation Model ◽  
Preventive Maintenance ◽  
Latent Variables ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Implementation Strategies ◽  
Equation Model ◽  
Total Productive Maintenance

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.

Big Data Analytics in the Agribusiness Supply Chain Management

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.

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

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.

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

2016 ◽  
Vol 7 (2) ◽  
pp. 69-88 ◽  
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.

scholarly journals Effects of Perceived Sustainability Level of Sportswear Product on Purchase Intention: Exploring the Roles of Perceived Skepticism and Perceived Brand Reputation

2020 ◽  
Vol 12 (20) ◽  
pp. 8650
Author(s):  
Yunjeong Kim ◽  
Kyung Wha Oh
Keyword(s):  
Structural Equation Model ◽  
Purchase Intention ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Model ◽  
Purchasing Behavior ◽  
Sustainable Products ◽  
Brand Reputation ◽  
Negative Effect ◽  
Positive Effect

Fashion companies are trying to increase the efficiency of their communication with consumers by providing information on sustainable activities or product levels. This study explored the effects of the perceived sustainability level of products offered by sports brands. An online survey was conducted of consumers in their 20s and 30s, and a total of 316 questionnaires were used for the analysis. The structural equation model analysis using AMOS showed that the perceived sustainability level had a positive effect on purchase intention and a negative effect on perceived skepticism. Furthermore, perceived skepticism was confirmed to have a negative effect on purchase intention. By verifying the moderating effect of the perceived brand reputation, it was confirmed that the effect of the perceived sustainability level on purchase intention and the influence of the perceived skepticism on purchase intention differ between high and low brand reputation groups. When the perceived brand reputation is high, the perceived sustainability level has only a direct effect on purchase intention, whereas when the perceived brand reputation is low, only the indirect effect of perceived skepticism appears. This study contributes to the literature and practice by verifying that perceived skepticism plays an important role in the purchasing behavior of sustainable products in fashion.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PETANI DALAM PENGALOKASIAN DANA GANTI RUGI KONVERSI LAHAN PERTANIAN (Suatu Kasus Konversi Lahan Sawah untuk Pembangunan Bandara Internasional Jawa Barat di Kecamatan Kertajati Kabupaten Majalengka)

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Sri Umyati ◽  
Tuhpawana Sendjaja
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Reference Group ◽  
Descriptive Analysis ◽  
Influence Factors ◽  
Equation Model ◽  
Land Conversion ◽  
Purposive Sampling ◽  
Know How

Abstrak Tujuan Penelitian ini adalah untuk mengetahui faktor-faktor yang mempengaruhi keputusan petani dalam mengalokasikan dana ganti rugi konversi lahan, mengetahui besarnya pengaruh karakteristik petani dan kelompok acuan terhadap ganti rugi konversi lahan serta mengetahui pengaruh karakteristik petani, kelompok acuan dan ganti rugi konversi lahan terhadap keputusan petani dalam mengalokasikan dana ganti rugi lahan. Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif kuantitatif. Analisis yang digunakan adalah analisis Structural Equation Model (SEM) dengan menggunakan AMOS. Teknik penentuan responden dilakukan secara sengaja (Purposive) dengan penentuan sampel menggunakan rumus slovin. Hasil penelitian menunjukan bahwa dengan menggunakan analisis deskriptif faktor-faktor yang mempengaruhi keputusan petani dalam mengalokasikan dana ganti rugi lahan di daerah penelitian adalah karakteristik petani yang termasuk dalam kategori sedang (60,76%), kelompok acuan dalam kategori rendah (46,20%) dan ganti rugi konversi lahan dalam kategori rendah pula (47,20%). Sedangkan dari hasil analisis menggunakan AMOS diperoleh hasil bahwa variabel karakteristik petani dan kelompok acuan tidak berpengaruh terhadap ganti rugi konversi lahan. Namun variabel karakteristik petani dan kelompok acuan terlihat berpengaruh langsung terhadap keputusan petani, besarnya pengaruh dari variabel-variabel tersebut berturut-turut adalah sebesar 0.17 dan 0.68. Sedangkan variabel ganti rugi konversi lahan tidak berpengaruh terhadap keputusan petani. Kata Kunci : Ganti Rugi, Keputusan, Konversi Lahan, PetaniAbstract The purpose of this research are to know the factors that influence of peasant in the alocation of compensation fund, to know how many the influence of peasant caracteristic and reference group to compensation fund on land conversion and to know the influence of peasant caracteristic and reference group to decisions of peasant in the allocation of and compensation fund. The Research methode use in this research is a kuantitatif descriptive. The analisis use is an Structural Squation Models (SEM) with AMOS. The tecnique use in this research for the determination of respondent is purposive sampling and the determination of sampling with solvin. The result of this research indicated that with use the descriptive analysis that influence factors to influence of peasant in the allocation of land compensastion fund at the research palace are the peasant caracteristic is medium (60.76%), the reference group is lowest (46.20%) and land conversation is lows too (47.20%). The result of AMOS analysis, the caracteristic of peasant and reference group is not influence indirect to compensation fund on land conversation. While the caracteristic of peasant and reference group are influence direct to decision of peasant, the size of factors influence both 0.17 and 0.68 and the compensation fund land conversion is not influence to peasant decision.Keywords : Decisions, Land Conversation, Peasant, Compensation. 

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