scholarly journals Exploring Consumers’ Purchase Intention of rPET Bottle-Based Apparel in an Emerging Economy

2021 ◽  
Vol 7 (1) ◽  
pp. 22
Author(s):  
Thi Thanh An Luu ◽  
John R. Baker
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Emerging Economies ◽  
Purchase Intention ◽  
Structural Equation ◽  
Developing Economies ◽  
Emerging Economy ◽  
Equation Modeling ◽  
Starting Point ◽  
Recycled Plastics

This study investigated the applicability (generalizability) of utilizing a partial least squares (PLS) model previously posed to predict consumer purchase intention (PI) of recycled plastics-sourced apparel in a developed economy to predict PI in an emerging economy. To explore the original model’s generalizability, 495 Vietnam residents were surveyed via social media platforms (SMPs). Using partial least squares structural equation modeling (PLS-SEM) path analysis, it was found that three factors significantly affect PI (quality, sustainability, safety), albeit not the same organization of factors found to be significant in the original model. Thus, it is argued that consumer PI in emerging economies may not be entirely congruent with that of developing economies. As prior research of consumer PI of apparel made from recycled poly(ethylene terephthalate) (rPET) bottle fibers in emerging economies is limited, the results of this study, in support of open innovation, provide practical suggestions for marketers and a starting point for future investigations and discussions. The paper also discusses the findings’ relevancy to other contexts and poses suggestions for further study.

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.

scholarly journals Comparison of Spa Choice between Wellness Tourists and Healthcare/Medical Tourists

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 544
Author(s):  
Jorge Pelegrín-Borondo ◽  
Noelia Araújo-Vila ◽  
Jose A. Fraiz-Brea
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Choice Models ◽  
Equation Modeling ◽  
Performance Expectancy ◽  
Influential Variable ◽  
Consistent Partial Least Squares

Spa tourism is considered one of the most important segments of the $639 billion wellness market. The literature refers to two types of spa tourists: wellness tourists and healthcare/medical tourists. However, virtually no studies have compared spa choice models between these two segments. The present study uses the Cognitive-Affective-Normative (CAN) model to compare the variables that explain purchase intention in relation to spas between the two segments. Data were collected through a questionnaire administered to a sample of 810 potential Spanish spa-goers, and consistent partial least squares (PLSc) structural equation modeling (SEM) was used. Contrary to what might be expected, no major differences were found between the spa choice models for wellness tourists and for healthcare/medical tourists. The results show that R2 and Q2 were similar for both models. The most influential variable was performance expectancy, and differences were only found in the influence of the pleasure variable.

scholarly journals Pengaruh Customer Satisfaction dan Religiusitas sebagai Variabel Moderasi Atas Penggunaan Islamic Branding terhadap Purchase Intention

2020 ◽  
Vol 4 (1) ◽  
pp. 387-398
Author(s):  
Taufiq Risal ◽  
Mirawati Mirawati ◽  
Reza Prabudi
Keyword(s):  
Structural Equation Modeling ◽  
Customer Satisfaction ◽  
Least Squares ◽  
Partial Least Squares ◽  
Purchase Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Probability Sampling

Untuk membangkitkan minat nasabah, Islamic Branding dalam industri perbankan syariah perlu memberikan sejumlah besar manfaat yang dapat diperoleh nasabah, untuk dapat memaksimalkan Customer Satisfaction sehingga dapat menghasilkan Purchase Intention yang tinggi. Tingkat Religiusitas nasabah terbukti turut memegang peranan penting dalam memilih lembaga perbankan yang menggunakan Islamic Branding. Penelitian ini bertujuan untuk mempelajari adalah pengaruh kepribadian Islamic Branding terhadap Purchase Intention menggunakan jasa perbankan syariah dengan Customer Satisfaction sebagai variable intervening dan Tingkat Religiusitas Pelanggan sebagai variable moderator. Prosedur pengambilan sampel dalam penelitian ini adalah teknik non-probability sampling. Metode analisis yang digunakan dalam penelitian ini menggunakan SEM (Structural Equation Modeling) dengan aplikasi PLS (Partial Least Squares). Hasil penelitian ini menunjukkan bahwa Islamic Branding mempunyai pengaruh yang signifikan terhadap Customer Satisfaction, tetapi tidak berpengaruh signifikan terhadap Purchase Intention, dan tidak secara tidak langsung akan tidak signifikan mempengaruhi Customer Satisfaction sebagai variabel intervening. Serta Tingkat Religiusitas sebagai variabel moderator tidak terbukti berpengaruh signifikan atas pengaruh Islamic Branding terhadap Customer Satisfaction dan Purchase Intention nasabah BMT Kampoeng Syariah Medan.

scholarly journals PENGARUH WEBSITE QUALITY, WEBSITE REPUTATION DAN PERCEIVED RISK TERHADAP PURCHASE INTENTION PADA PERUSAHAHAAN E-COMMERCE

2020 ◽  
Vol 4 (2) ◽  
pp. 229
Author(s):  
Harry Jundrio ◽  
Keni Keni
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Perceived Risk ◽  
Purchase Intention ◽  
Structural Equation ◽  
Equation Modeling ◽  
Sample Number ◽  
Website Quality ◽  
Positive Effects ◽  
Convenience Sampling

Tujuan penelitian ini adalah untuk menguji secara empiris pengaruh kualitas website, reputasi website dan persepsi risiko terhadap minat beli dari pengunjung website atau aplikasi e-commerce. Penelitian ini menggunakan metode sampling non probability dengan teknik convenience sampling. Sampel berjumlah 203 responden yang mayoritas adalah karyawan BUMN, PNS atau swasta. Partial Least Squares – Structural Equation Model (PLS – SEM) digunakan untuk melakukan analisis data dengan menggunakan softwate Smart PLS 3.3.0. Hasil penelitian ini menunjukan bahwa perusahaan telah memiliki kualitas website dan reputasi website yang baik, sehingga kualitas website dan reputasi website memiliki pengaruh positif terhadap minat beli. Hasil penelitian ini juga menunjukkan bahwa perusahaan dipersepsikan sebagai website/aplikasi dengan risiko netral, sehingga persepsi risiko tidak memiliki pengaruh terhadap minat beli. Penelitian ini menyarankan agar perusahaan mempertahankan dan meningkatkan kualitas website dan reputasi website untuk meningkatkan minat beli pengunjung. Dan dikarenakan perusahaan adalah platform e-commerce yang bekerja sama dengan penjual dan kurir pihak ketiga, maka perusahaan agar menetapkan peraturan yang tegas untuk menjamin potensi risiko yang minimal pada saat transaksi.  The purpose of this research is to investigate the effects of website quality, website reputation and perceived risk on purchase intention towards visitors of e-commerce website or application. This research uses non probability sampling method with convenience sampling technique. The sample number is 203 respondents which mostly are state-owned, public or private sector employees. Partial Least Squares – Structural Equation Modeling (PLS – SEM) is used to analyze research data by using Smart PLS 3.3.0 software. The findings show the company already has good website quality and good website reputation and therefore website quality and website reputation have positive effects on purchase intention. The findings also show that the website/application is perceived as non risky website/application and therefore perceived risk has no effect on purchase intention. The findings suggest that the company should maintain and enhance its website quality and website reputation in order to increase visitors’ purchase intention. And since the company is an e-commerce platform that has agreements with third-party sellers and courier services, it has to establish rigid standard operating procedures to ensure the minimalization of potential risk during transactions.

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

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