scholarly journals Partial Least Squares Structural Equation Path Modelling Determined Predictors of Students Reported Human Cadaver Dissection Activity

2020 ◽  
Vol 08 (02) ◽  
pp. 18-37
Author(s):  
Ian G. Munabi ◽  
William Buwembo
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Human Cadaver ◽  
Cadaver Dissection ◽  
Path Modelling

Relationships Among Knowledge Management, Organisational Innovativeness and Performance: Covariance-Based Versus Partial Least-Squares Structural Equation Modelling

2018 ◽  
Vol 17 (01) ◽  
pp. 1850008 ◽  
Author(s):  
José Roberto Frega ◽  
Alex Antonio Ferraresi ◽  
Carlos Olavo Quandt ◽  
Claudimar Pereira da Veiga
Keyword(s):  
Knowledge Management ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Discriminant Validity ◽  
Model Stability ◽  
Equation Modelling ◽  
Path Modelling ◽  
And Performance

The relationships among effective knowledge management (KM), organisational innovativeness (OI), market orientation (MO) and organisational performance (OP) have been explored in the literature. These constructs are generally analysed in pairs, such as the influence of KM on OI, or KM on OP, and other combinations, but the relationships among the full set of constructs in question are not fully understood yet. In the extant literature, the relationships among them are analysed for the most part with covariance-based structural equation modelling (CB-SEM). Partial least-squares (PLS) path modelling is a component-based approach to SEM that is not as widely used as CB-SEM, but it has the potential to allow increased flexibility in handling various modelling problems in comparison with CB models, particularly for predictive and exploratory purposes. This paper aims to verify whether the PLS method could confirm or reject the results of the more restrictive covariance-based method in modelling the relationships among KM, OI, MO and OP. The results indicate that both methods yielded convergent and discriminant validity for the constructs, displaying stability across model analysis and depuration. The PLS model revealed the influence of KM on MO, OI and OP. It also shows that OI is the main driving factor for OP. KM seems to have a direct effect on OP, which is greatly magnified when mediated by OI. The sample size, although borderline adequate for the CB method, was more than adequate for PLS, yielding excellent model stability.

scholarly journals eWOM in C2C Platforms: Combining IAM and Customer Satisfaction to Examine the Impact on Purchase Intention

2021 ◽  
Vol 16 (5) ◽  
pp. 1612-1630
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Source Credibility ◽  
Positive Impact ◽  
Equation Modeling ◽  
Research Model ◽  
Argument Quality ◽  
The Impact

This study is focused on communications that come from consumer-to-consumer (C2C) ecommerce relationships. This topic is directly associated with the electronic word-of-mouth (eWOM) phenomenon. eWOM is related to the set of positive or negative opinions made by potential, actual, or former customers about a seller. The present study proposes a structural equation modeling with partial least squares (PLS-SEM) research model to analyze consumers’ opinions impact on attitude toward purchasing. This model is based on the Information Adoption Model (IAM) in combination with an ecommerce satisfaction perspective, comprising five constructs: (1) service quality, (2) ecommerce satisfaction, (3) argument quality, (4) source credibility and (5) purchase intention. The model was tested by applying the Smart Partial Least Squares (SmartPLS) software for which 116 effective data from customers of the Taobao C2C platform were used. The findings reveal that all of the defined relationships were supported, confirming the positive impact of all the proposed constructs on the purchase intention. In this respect, the findings suggest that C2C platforms should strengthen the analyzed connections to grow the business and to promote transactions. Finally, implications and limitations related to the explanatory capacity and the sample are identified.

Estimating Store Brand Shelf Space: A New Framework Using Neural Networks and Partial Least Squares

2009 ◽  
Vol 51 (2) ◽  
pp. 1-19 ◽  
Author(s):  
Monica Gomez ◽  
Shintaro Okazaki
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Statistical Treatment ◽  
Principal Component ◽  
Future Research ◽  
Store Brand ◽  
Shelf Space ◽  
Managerial Implications ◽  
Space Data

Despite abundant research that examines the effects of store brands on retail decision making, little attention has been paid to the predictive model of store brand shelf space. This paper intends to fill this research gap by proposing and testing a theoretical model of store brand shelf space. From the literature review, 11 independent variables were identified (i.e. store format, reputation, brand assortment, depth of assortment, in-store promotions, leading national brands’ rivalry, retailers’ rivalry, manufacturers’ concentration, store brand market share, advertising, and innovation) and analysed as potential predictors of the dependent variable (i.e. store brand shelf space). Data were collected for 29 product categories in 55 retail stores. In designing the statistical treatment, a three-phase procedure was adopted: (1) interdependence analysis via principal component analysis; (2) dependence analysis via neural network simulation; and (3) structural equation modelling via partial least squares. The findings corroborate our proposed model, in that all hypothesised relationships and directions are supported. On this basis, we draw theoretical as well as managerial implications. In closing, we acknowledge the limitations of this study and suggest future research directions.

scholarly journals Applying the Theory of Planned Behavior to Examine Pro-Environmental Behavior: The Moderating Effect of COVID-19 Beliefs

2020 ◽  
Vol 12 (24) ◽  
pp. 10556
Author(s):  
Caterina Lucarelli ◽  
Camilla Mazzoli ◽  
Sabrina Severini
Keyword(s):  
Climate Change ◽  
Theory Of Planned Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Planned Behavior ◽  
Structural Equation ◽  
Environmental Behavior ◽  
Group Analysis ◽  
Policy Implications ◽  
Equation Modeling

The COVID-19 pandemic and climate change issues present evident interdependencies which justify the spread of connected beliefs. We examine possible changes in individuals’ pro-environmental behavior in light of this pandemic, using the Theory of Planned Behavior (TPB) framework. A questionnaire survey was submitted to the same sample of individuals, before and during the pandemic. Our evidence, based on Partial Least Squares Structural Equation Modeling (PLS-SEM), shows that the COVID-19 pandemic has not led to a weakening in TPB construct relationships, or in related Pro-Environmental Behavior (PEB). Conversely, through our Partial Least Squares-Multi-Group Analysis (PLS-MGA), we show that individuals with greater awareness of interdependencies between the COVID-19 and climate change exhibit both higher Intention and reinforced Pro-Environmental Behaviors. This finding reveals interesting policy implications in terms of innovative behavioral drivers that should be employed to steer public support towards climate-oriented initiatives.

scholarly journals PERBANDINGAN ANTARA UNWEIGHTED LEAST SQUARES (ULS) DAN PARTIAL LEAST SQUARES (PLS) DALAM PEMODELAN PERSAMAAN STRUKTURAL (STUDI KASUS MODEL ANALISIS PRESTASI BELAJAR MAHASISWA TAHUN PERTAMA PROGRAM STUDI S1 MATEMATIKA FMIPA-INSTUTUT PERTANIAN BOGOR)

2017 ◽  
Vol 2 (1) ◽  
pp. 21
Author(s):  
Muhammad Amin Paris
Keyword(s):  
Least Squares ◽  
Student Learning ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Weighted Least Squares ◽  
Generalized Least Squares ◽  
Primary Data ◽  
Equation Modeling ◽  
Multivariate Techniques ◽  
Mathematics Students

Structural Equation Modeling (SEM) is one of multivariate techniques  that can estimates a series of interrelated dependence relationships from a number of endogenous and exogenous variables, as well as latent (unobserved) variables simultaneously. Estimation of Parameter methods that is often applied in SEM are Maximum Likelihood (ML), Weighted Least Squares (WLS), Unweighted Least Squares (ULS), Generalized Least Squares (GLS) and Partial Least Squares (PLS). This research aims to compare ULS method and PLS method in estimating parameter model of achievement of student learning in first year undergraduate Mathematics students, FMIPA, Bogor  Agricultural University ( IPB). This research use secondary and primary data which amounts to 112. The result of this research indicates that ULS method is more accurate than PLS methods. The analysis done with ULS method shows that motivation, capability and environmental had an effect to achievement of student learning.

scholarly journals A bibliometric study of global research activity in relation to the use of partial least squares for policy evaluation

2021 ◽  
pp. 49-54
Author(s):  
Rosanna Cataldo ◽  
Laura Antonucci ◽  
Corrado Crocetta ◽  
Maria Gabriella Grassia ◽  
Marina Marino
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Policy Evaluation ◽  
Structural Equation ◽  
Bibliometric Study ◽  
Equation Modeling ◽  
Path Modeling ◽  
Research Activity ◽  
Knowledge Database ◽  
Scopus Database

Structural equation modeling (SEM), especially partial least squares path modeling (PLS-PM) has become a mainstream method in many fields of research. In the last years it has been increasingly disseminated in a variety of disciplines. The researchers have been promoting this new statistical methods for the evaluation of policies. Generally, policy evaluation applies evaluation principles and methods to examine the content, implementation or impact of a policy. To better understand and characterize this trend, a bibliometric study of international papers on this subject has been developed in order to describe the use of SEM and PLS-PM approaches in the policy evaluation in the almost last 20 years. A total of 450 articles from 2000 to 2020 have been selected and analyzed in order to discover the research trends in this field and the main dimensions and words related to the terms “decision making” and “SEM-PLS” approach, that are most commonly employed in the scientific literature. The research has been conducted in theWeb of Science from ISI Web of Knowledge database and Scopus database, with the aim of identifying the major themes, authors, areas, types of the sources, titles, years of publication and countries of these publications, as well as the main themes related to the two topic analyzed

scholarly journals Pengaruh Modal Insani dan Modal Sosial terhadap Kinerja (Studi Kasus Usaha Kecil dan Menengah (UKM) Makanan dan Minuman Kota Bogor)

2016 ◽  
Vol 5 (3) ◽  
pp. 244
Author(s):  
Layla Khoirrini ◽  
Lindawati Kartika
Keyword(s):  
Performance Analysis ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation Modelling ◽  
Structural Equation ◽  
Equation Modelling

<p>Usaha Kecil dan Menengah (UKM) makanan dan minuman kota Bogor mampu menyerap banyak tenaga kerja. Tenaga kerja merupakan aset bagi perusahaan dalam bentuk modal insani dan modal sosial. Tujuan penelitian ini adalah menganalisis secara deskriptif, menganalisis pengaruh modal insani dan modal sosial terhadap kinerja UKM makanan dan minuman Kota Bogor, serta memformulasikan rekomendasi untuk meningkatkan kinerja UKM. Metode penelitian yang digunakan antara lain analisis deskriptif, <em>Importance Performance Analysis </em>(IPA), <em>fishbone</em> diagram, dan <em>Structural Equation Modelling</em> (SEM) dengan pendekatan <em>Partial Least Squares </em>(PLS). Hasil analisis SEM menyatakan bahwa pengetahuan lain  dan dimensi struktural berpengaruh terhadap modal insani dan modal sosial, di mana modal insani dan modal sosial berpengaruh positif dan signifikan terhadap kinerja. Oleh karena itu, peningkatan kinerja pada UKM direkomendasikan melalui beberapa kegiatan penunjang antara lain: membentuk sistem pengendalian mutu dan penyusunan standar pelaksanaan produksi, memperbaiki sarana prasarana yang dimiliki oleh UKM, serta ikut serta dalam pelatihan untuk meningkatkan kompetensi pekerja UKM.</p>Kata kunci: kinerja UKM, modal insani, modal sosial, <em>partial least squares, </em><em>structural equation modelling</em>

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