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 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 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.

Understanding purchasing intentions in secondary sports ticket websites

2014 ◽  
Vol 16 (1) ◽  
pp. 35-49 ◽  
Author(s):  
Taesoo Ahn ◽  
Young Ik Suh ◽  
Jin Kyun Lee ◽  
Paul M Pedersen
Keyword(s):  
Technology Acceptance ◽  
Perceived Risk ◽  
Purchase Intention ◽  
Structural Equation ◽  
The United States ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Positive Effects ◽  
Purchasing Intention

The purpose of this study was to examine purchasing intentions in online sports ticketing websites. Based on previous research related to business-to-consumer (B2C) e-commerce, this study developed a conceptual model to test the effect of perceived risk, trust and the Technology Acceptance Model (TAM) on purchase intentions in online secondary ticket websites. College students (N = 251) from the northeastern region of the United States were chosen as the sample. Structural Equation Modeling (SEM) was used to investigate the proposed relationships among four major components (i.e. perceived risk, trust, TAM and behavioural intention). The results showed that there were positive effects of key TAM constructs (i.e. perceived usefulness and ease of use) and trust on purchasing intention, but perceived risk was not a significant indicator of purchase intention.

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.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

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 PERAN INNOVATIVENESS SEBAGAI MODERASI PADA KETERKAITAN PENGARUH SOSIAL TERHADAP MINAT PEMBELIAN KOPI STARBUCKS

2020 ◽  
Vol 4 (1) ◽  
pp. 174
Author(s):  
Miharni Tjokrosaputro ◽  
Cokki Cokki
Keyword(s):  
Structural Equation Modeling ◽  
Social Influence ◽  
Purchase Intention ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Green Product ◽  
Convenience Sampling

Tujuan penelitian ini adalah untuk mengetahui apakah keinovatifan dapat memoderasi peran pengaruh sosial terhadap minat pembelian kopi Starbucks sebagai produk hijau. Penelitian ini menggunakan metode survey. Responden adalah 100 konsumen Starbucks. Teknik pengambilan sampel adalah convenience sampling. Teknik pengumpulan data menggunakan kuesioner. Teknik analisis data menggunakan Partial Least Square-Structural Equation Modeling. Hasil penelitian menunjukkan bahwa pengaruh sosial berpengaruh terhadap niat membeli kopi Starbucks dan keinovatifan konsumen tidak memoderasi peran pengaruh sosial terhadap minat pembelian kopi Starbuck sebagai produk hijau. The purpose of this study was to determine whether innovativeness can moderate the role of social influence in the purchase intention of Starbucks coffee as a green product. Respondents were 100 Starbucks consumers. The sampling technique is convenience sampling. Data collection techniques using a questionnaire by survey method. Data analysis techniques using Partial Least Square-Structural Equation Modeling. The results showed that social influence had effect on Starbucks coffee purchase intentions and consumer innovativeness did not moderate the role of social influence on the purchase intention of Starbuck coffee as a green product. This might be due to brand equity factors, collectivistic culture and limited sample size, which can be suggested for future researchers.

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