scholarly journals A Partial Least Squares Path Model of Repurchase Intention of Supermarket Customers

2012 ◽  
Vol 62 ◽  
pp. 921-926 ◽  
Author(s):  
Fatma Noyan ◽  
Gülhayat Golbasi Simsek
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Path Model ◽  
Repurchase Intention

scholarly journals Can Land Cover Changes Mitigate Large Floods? A Reflection Based on Partial Least Squares-Path Modeling

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 684 ◽  
Author(s):  
Daniela Patrícia Salgado Terêncio ◽  
Luís Filipe Sanches Fernandes ◽  
Rui Manuel Vitor Cortes ◽  
João Paulo Moura ◽  
Fernando António Leal Pacheco
Keyword(s):  
Land Cover ◽  
Least Squares ◽  
Partial Least Squares ◽  
Flood Management ◽  
Path Model ◽  
Path Modeling ◽  
Biophysical Parameters ◽  
Climate Indicators ◽  
Set Up ◽  
Large Floods

Common approaches to large flood management are Natural Water Retention Measures and detention basins. In this study, a Partial Least Squares-Path Model (PLS-PM) was defined to set up a relationship between dam wall heights and biophysical parameters, in critical flood risk zones of continental Portugal. The purpose was to verify if the heights responded to changes in the biophysical variables, and in those cases to forecast landscape changes capable to reduce the heights towards sustainable values (e.g., <8 m). The biophysical parameters comprised a diversity of watershed characteristics, such as land use and geology, surface runoff, climate indicators and the dam heights. The results have shown that terrain slope (w > 0.5), rainfall (w > 0.4) and sedimentary rocks (w > 0.5) are among the most important variables in the model. Changes in these parameters would trigger visible changes in the dam wall height, but they are not easily or rapidly modified by human activity. On the other hand, the parameters forest occupation and runoff coefficient seem to play a less prominent role in the model (w < 0.1), even though they can be significantly modified by human intervention. Consequently, in a scenario of land cover change where forest occupation is increased by 30% and impermeable surfaces are decreased by 30%, interferences in the dam heights were small. These results open a discussion about the feasibility to mitigate large floods using non-structural measures such as reforestation.

Dynamic Partial Least Square Path Modeling for the Front-end Product Design and Development

2012 ◽  
Vol 134 (10) ◽  
Author(s):  
Chathura Withanage ◽  
Taezoon Park ◽  
Truong Ton Hien Duc ◽  
Hae-Jin Choi
Keyword(s):  
Least Squares ◽  
Product Design ◽  
Partial Least Squares ◽  
Partial Least Square ◽  
Least Square ◽  
Path Model ◽  
Percentage Error ◽  
Product Attributes ◽  
Design And Development ◽  
Front End

The dynamic nature of today’s technology market requires new value-characteristic modeling methods; mainstream methods have limitations due to unrealistic assumptions, such as static customer preferences and no multicollinearity among product attributes. In particular, products with longer cycle times can suffer because the static model ignores changes in the market during the concept-to-customer lead time. This study proposes a dynamic, partial least squares path model for customer driven product design and development in order to reduce model uncertainty by formulating preference models to reflect market dynamics. The proposed dynamic model adopted partial least squares regression to handle the limited observations plagued by multicollinearity among product attributes. The main advantage of the proposed model is its ability to evaluate design alternatives during the front-end concept screening phase, using the overall product-value metric, customer-revealed value. A case study analyzing the US car market data for sedans from 1990 to 2010 showed the potential for the proposed method to be effective, with a 3.40 mean absolute percentage error.

scholarly journals O Valor de Negócio das Práticas de Tecnologia da Informação

2017 ◽  
Vol 15 (38) ◽  
pp. 441
Author(s):  
Eros Viggiano de Souza ◽  
Marlusa De Sevilha Gosling
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Path Model ◽  
Belo Horizonte

<p>A real contribuição da Tecnologia da Informação (TI) para a geração de valor é ainda bastante discutida, sendo que resultados de diversas pesquisas são divergentes. Alguns autores sustentam que o motivo das divergências pode residir na excessiva agregação dos construtos que se referem à TI (BRYNJOLFSSON; HITT, 2003) e ao desempenho organizacional (RAY; BARNEY; MUHANNA, 2004). Esta pesquisa empregou um modelo que procura avaliar o valor de negócio da TI por meio da relação entre os recursos internos da TI e o desempenho de processos de negócio da cadeia de valor (MOONEY; GURBAXANI; KRAEMER, 1996). Após pré-teste para verificação da linguagem do questionário, coletou-se dados de 96 empresas da área de serviços de Belo Horizonte por meio de survey transversal. Os dados foram validados e analisados com o emprego de estatística univariada e multivariada, onde Partial Least Squares Path Model foi a técnica central. Verificou-se que o construto práticas de TI, formado por uso da arquitetura de Internet, intensidade de transações digitais e intensidade de comunicações digitais internas, apresentou relação relevante com o desempenho de todos processos de negócio da cadeia de valor e razoável efeito preditivo. O modelo avaliado apresentou grau de ajuste geral elevado, indicando que a TI contribui para a geração de valor na organização. Do ponto de vista gerencial, o estudo demonstra a importância do desenvolvimento das práticas do TI e, ao explorar um modelo teórico multidimensional orientado por processos de negócio, contribui academicamente por apresentar novas perspectivas para avaliação do valor a TI.</p>

scholarly journals Assessing the Relationship between Program Education Objectives and Program Learning Outcomes in Outcome-Based Education Using Partial Least Squares-Structural Equation Model

2019 ◽  
Vol 8 (11) ◽  
pp. 1709-1713
Keyword(s):  
Least Squares ◽  
Learning Outcomes ◽  
Partial Least Squares ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Measurement Model ◽  
Equation Model ◽  
Path Model ◽  
Outcome Based Education ◽  
The Relationship

Institution of higher learning in Malaysia has implemented an Outcome-Based Education (OBE) since 2007. Among the crucial components of OBE were the Program Education Objectives (PEOs) and Program Learning Outcomes (PLOs). The development of PEOs has to take into consideration the involvement of stakeholders, in order to address their needs and requirements and also must in line with the institutional vision and mission. PLOs, on the other hand, has to be aligned with PEOs to attain OBE. The study withal strive the relationship between PLOs and PEOs in OBE by using Partial Least Squares-Structural Equation Model (PLS-SEM) approach as the sample size was too small to utilize Structural Equation Modelling-Analysis of Moment Structure (SEM-AMOS). A simple random sampling was used to select 90 teachers throughout Malaysia. The selected teachers were a graduate of Sultan Idris Education University's (UPSI) Mathematics Education Degree (BEd Maths). From the analysis, it revealed that all the relationships in the developed model were significant at p<0.001. The results indicated that the developed model was strengthened by empirical analysis and in parallel with the preceding findings and theoretical framework. Apart of PEOs and PLOs path model, the study also successfully validated all the indicator variables depicted in PEOs and PLOs measurement model. This study had successfully developed and evaluated PEOs and PLOs relationship in OBE by means of structural equation model through PLS-SEM approach. In conclusions, the relationship between PEOs and PLOs can not only be expressed qualitatively, but also be modeled in the structural equation.

scholarly journals PENGARUH BRAND AWARENESS, KUALITAS PRODUK, DAN HARGA TERHADAP REPURCHASE INTENTION PRODUK GOLDEN FLOWER

PERFORMA ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 242-251
Author(s):  
George Reinhart Changi ◽  
Metta Padmalia
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Brand Awareness ◽  
Repurchase Intention ◽  
Purposive Sampling

Penelitian ini memiliki tujuan mengetahui pengaruh dari Brand Awareness terhadap Kepuasan Konsumen, Kualitas Produk terhadap Kepuasan Konsumen, Harga terhadap Kepuasan Konsumen, dan Kepuasan Konsumen terhadap Repurchase Intention dari produk beras “Golden Flower”. Metode penelitian yang digunakan di dalam penelitian ini adalah purposive sampling. Populasi yang digunakan di dalam penelitian ini adalah pelanggan yang melakukan pembelian produk Golden Flower di toko UD.Berkat Pangan Lestari. Jumlah sampel yang digunakan di dalam penelitian ini sebanyak 70 orang. Metode analisis data yang digunakan dalam penelitian ini adalah  dengan menggunakan structural equation model (SEM) dengan partial Least Squares dengan menggunakan bantuan aplikasi perangkat lunak SmartPLS versi 3. Hasil dari penelitian ini menunjukan bahwa variabel Brand Awareness, Kualitas Produk, dan Harga memiliki pengaruh signifikan terhadap Kepuasan Konsumen, dan Kepuasan Konsumen memiliki pengaruh signifikan terhadap Repurchase Intention. Kata kunci: Brand Awareness, Kualitas Produk, Harga, Kepuasan Konsumen, Repurchase Intention.

scholarly journals The Impact of Perceived Organizational Support on Organizational Commitment

2020 ◽  
Vol 9 (4) ◽  
pp. 421-425
Keyword(s):  
Organizational Commitment ◽  
Least Squares ◽  
Partial Least Squares ◽  
Organizational Support ◽  
Convergent Validity ◽  
Structural Equation ◽  
Perceived Organizational Support ◽  
Path Model ◽  
Survey Method ◽  
The Impact

This study measure the relationship between perceived organizational support and organizational commitment. Data were collected from 100 government employee in Malaysia in a cross-sectional study using survey method. The partial least squares structural equation model (PLS-SEM) version 3.3 was used for data analysis to test on convergent validity. The outcomes of testing hypothesis using Smart Partial Least Squares (Smart PLS) path model analysis reveals two findings, first: supervisor support significantly positive with organizational commitment. Second, co-workers support significantly positive with organizational commitment. Further, theoretical, discussion, implications and conclusion are elaborated

An fMRI study examining spatial navigation through a virtual environment: Partial least squares analysis

2005 ◽  
Author(s):  
Richard Mraz ◽  
Nancy J. Lobaugh ◽  
Genevieve Quintin ◽  
Konstantine K. Kakzanis ◽  
Simon J. Graham
Keyword(s):  
Least Squares ◽  
Virtual Environment ◽  
Partial Least Squares ◽  
Spatial Navigation ◽  
Partial Least Squares Analysis ◽  
Fmri Study
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