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

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.

2020 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Nicholas Wilson

Penelitian ini dilakukan guna mengetahui bagaimana pengaruh service quality dan corporate reputation terhadap loyalty, baik secara langsung ataupun tidak langsung melalui trust. Penelitian ini mengimplementasikan metode survei, dimana, kuesioner digunakan sebagai alat untuk mengumpulkan data yang diperlukan pada penelitian ini. Sebanyak 200 responden berpartisipasi pada penelitian ini, dimana, dari 200 data yang terkumpul, sebanyak 191 data dinyatakan valid, reliable dan dapat digunakan untuk selanjutnya diproses pada penelitian ini. Data selanutnya dianalisa dengan metode partial least squares-structural equation modelling (PLS-SEM). Berdasarkan hasil analisis data yang diperoleh, peneliti dapat menyimpulkan bahwa service quality dan corporate reputation berpengaruh positif terhadap loyalty, baik secara langsung ataupun tidak langsung melalui trust pada industri Perhotelan di Indonesia. This research was conducted in order to determine the impact of service quality and corporate reputation toward customer loyalty, both directly and indirectly through trust in the Indonesian hospitality sector. This research implements ssurvey method, in which quaestionnaires were utilized as the tools to collect all of the data required for the completion of this study. A total od 200 respondents participate in this study, in which, out of 200, 191 data had been deemed valid, reliable and usable to be further processed in this research. All of the data then were analyzed using partial least squares-structural equation modeling (PLS-SEM) method. Based on the results of the data analysis, author would like to conclude that both service quality and corporate reputation had a positive impact on customer loyalty, both directly and indirectly through trust in the Indonesian hospitality sector.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mazzini Muda ◽  
Muhammad Iskandar Hamzah

PurposeIn spite of the increasing organic and interactive marketing activities over social media, a general understanding of the source credibility of voluntary user-generated content (UGC) is still limited. In line with the social identity theory, this paper examines the effects of consumers' perceived source credibility of UGC in YouTube videos on their attitudes and behavioral intentions. Additionally, source homophily theory is included to predict the antecedent of source credibility.Design/methodology/approachThree hundred and seventy two Generation Y respondents were interviewed using snowball sampling. Data were analyzed with component-based structural equation modeling technique of partial least squares-structural equation modeling (PLS-SEM).FindingsFindings confirmed that perceived source credibility indirectly affects purchase intention (PI) and electronic word-of-mouth via attitude toward UGC. Besides, perceived source credibility mediates the effect of perceived source homophily on attitude toward UGC.Practical implicationsSince today's consumers have begun to trust and rely more on UGC than company-generated content on social media when making purchase decisions, companies may reconsider democratizing certain aspects of their branding strategies. Firms may fine-tune their marketing communication budgets – not only just by sponsoring public figures and celebrities but also by nurturing coproductive engagements with independent content creators who are ordinary consumers. Endowed with their imposing credibility, these micro-influencers and prosumers have high potentials to be uplifted to brand ambassadors.Originality/valueWhile consumers' purchase outcome can be measured easily using metrics and analytics, the roles of source homophily in stages leading up to the purchase is still elusive. Drawing on the rich theoretical basis of source homophily may help researchers to understand not only how credibility and attitude are related to PI but also how this nexus generates positive word of mouth among UGC followers within the social media circles.


Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 324
Author(s):  
Haijian Wang ◽  
Jianyi Ding ◽  
Umair Akram ◽  
Xialei Yue ◽  
Yitao Chen

The COVID-19 pandemic and the continuous advancement of live e-commerce technology pushed the swift growth of live e-commerce in China. Based on the S–O–R theoretical framework, this study investigates the impact of live broadcast characteristics on consumers’ social presence and flow experience, along with their impact on the consumers’ consumption intention in live e-commerce scenarios through questionnaires. Using structural equation modeling, data processing and involvement were introduced as regulating variables. Host charm, interaction, and trust in the host exerted a significant positive impact on social presence. In addition, host charm and trust in host significantly affected flow experience, and social presence significantly affected flow experience. Both social presence and flow experience significantly affected consumption intention, while involvement affected all paths to some extent. Overall, this study illustrates the significance of host in live e-commerce, and consumers with low involvement should be the focus of attention in live e-commerce.


Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 544
Author(s):  
Jorge Pelegrín-Borondo ◽  
Noelia Araújo-Vila ◽  
Jose A. Fraiz-Brea

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.


Athenea ◽  
2021 ◽  
Vol 2 (4) ◽  
pp. 5-18
Author(s):  
Juan Enrique Villalva A.

Modeling using structural equations, is a second generation statistical data analysis technique, it has been positioned as the methodological options most used by researchers in various fields of science. The best known method is the covariance-based approach, but it presents some limitations for its application in certain cases. Another alternative method is based on the variance structure, through the analysis of partial least squares, which is an appropriate option when the research involves the use of latent variables (for example, composite indicators) prepared by the researcher, and where it is necessary to explain and predict complex models. This article presents a brief summary of the structural equation modeling technique, with an example on the relationship of constructs, sustainability and competitiveness in iron mining, and is intended to be a brief guide for future researchers in the engineering sciences. Keywords: Competitiveness, Structural equations, Iron mining, Sustainability. References [1]J. Hair, G. Hult, C. Ringle and M. Sarstedt. A Primer on Partial Least Square Structural Equation Modeling (PLS-SEM). California: United States. Sage, 2017. [2]H. Wold. Model Construction and Evaluation when Theoretical Knowledge Is Scarce: An Example of the Use of Partial Least Squares. Genève. Faculté des Sciences Économiques et Sociales, Université de Genève. 1979. [3]J. Henseler, G. Hubona & P. Ray. “Using PLS path modeling new technology research: updated guidelines”. Industrial Management & Data Systems, 116(1), 2-20. 2016. [4]G. Cepeda and Roldán J. “Aplicando en la Práctica la Técnica PLS en la Administración de Empresas”. Congreso de la ACEDE, Murcia, España, 2004. [5]D. Garson. Partial Least Squares. Regresión and Structural Equation Models. USA. Statistical Associates Publishing: 2016. [6]D. Barclay, C. Higgins & R. Thompson. “The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration”. Technology Studies. Special Issue on Research Methodology. (2:2), pp. 285-309. 1995. [7]J. Medina, N. Pedraza & M. Guerrero. “Modelado de Ecuaciones Estructurales. Un Enfoque de Partial Least Square Aplicado en las Ciencias Sociales y Administrativas”. XIV Congreso Internacional de la Academia de Ciencias Administrativas A.C. (ACACIA). EGADE – ITESM. Monterrey, México, 2010. [8]J. Medina & J. Chaparro. “The Impact of the Human Element in the Information Systems Quality for Decision Making and User Satisfaction”. Journal of Computer Information Systems. (48:2), pp. 44-52. 2008. [9]D. Leidner, S. Carlsson, J. Elam & M. Corrales. “Mexican and Swedish Managers’ Perceptions of the Impact of EIS on Organizational Intelligence, Decisión Making, and Structure”. Decision Science. (30:3), pp. 633-658. 1999.[10]W. Chin. “The partial least squares approach for structural equation modeling”. Chapter Ten, pp. 295-336 in Modern methods for business research. Edited by Macoulides, G. A., New Jersey: Lawrence Erlbaum Associates, 1998. [11]M. Höck & C. Ringle M. “Strategic networks in the software industry: An empirical analysis of the value continuum”. IFSAM VIIIth World Congress, Berlin 2006. [12]J. Henseler, Ch. Ringle & M. Sarstedt. Handbook of partial least squares: Concepts, methods and applications in marketing and related fields. Berlin: Springer, 2012. [13]S. Daskalakis & J. Mantas. “Evaluating the impact of a service-oriented framework for healthcare interoperability”. Studies in Health Technology and Informatics. pp. 285-290. 2008. [14]C. Fornell & D. Larcker: “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error”, Journal of Marketing Research, vol. 18, pp. 39-50. Februay 1981. [15]C. Fornell. A Second Generation of Multivariate Analysis: An Overview. Vol. 1. New York, U.S.A. Praeger Publishers: 1982. [16]R. Falk and N. Miller. A Primer for Soft Modeling. Ohio: The University of Akron. 1992. [17]M. Martínez. Aplicación de la técnica PLS-SEM en la gestión del conocimiento: un enfoque técnico práctico. Revista Iberoamericana para Investigación y el Desarrollo Educativo. Vol. 8, Núm. 16. 2018. [18]S. Geisser. “A predictive approach to the random effects model”. Biometrika, Vol. 61(1), pp. 101-107. 1974. [19]J. Cohen. Statistical power analysis for the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum, 1988. [20]GRI (2013). G4 Sustainability Reporting Guidelines. Global Reporting Initiative. Available: www.globalreporting.org


2021 ◽  
Vol 9 (1) ◽  
pp. 54
Author(s):  
Vivi Iswanti Nursyirwan

The purpose of this study is to assess the impact of promotion on consumer trust, the impact of promotion on consumer purchase intentions, the impact of consumer trust on purchase intentions, and the impact of promotion on purchase intentions with consumer trust as a mediating variable. This research is a case study on Shopee e-commerce, with the research population being Shopee visitors in 2019, as many as 90.7 million. Determination of the sample by purposive as many as 100 people. This study is different from several previous studies which only examined the effect of independent variables on the dependent variable. The novelty of this research is to present a mediating variable. The approach used in data analysis using Structural Equation Modeling with Partial Least Square. The research output explains that in Shopee e-commerce there is a significant positive impact at the 10% real level for promotional variables on consumer trust, as well as promotion on purchase intention, the same results are also shown for the impact of consumer trust on purchase intention, as well as on promotional variables on purchase intention with consumer trust as a mediating variable.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kenneth Thompson ◽  
David Strutton ◽  
Tina Christine Mims ◽  
Trond Bergestuen

Purpose Organizational climate is an essential dynamic to leverage in salesforce performance. This study aims to develop a model that explores the determinants of independent manufacturers’ representatives’ (i.e. IMRs’) intentions to comply with their principals’ requests for additional tasking. Using agency theory, the authors explore the application of behavior and outcome-based controls upon dyadic manufacturer-IMR relationships for these additional performance/task requests. Design/methodology/approach Data from over 1,000 US-based IMRs were used to test two constructs; inter-organizational climate and perceptions of mutual satisfaction within the agency-principal dyad. Compliance behaviors tested were IMRs’ intentions to engage in non-selling-related tasks and intentions to allocate additional selling time to principals’ products. The following four exogenous controls were tested: perceived goal congruence between IMRs and principals; IMRs’ perceptions of principals’ expertise; mutual communications between IMRs and principals in the supply chain dyad; resources and sales support programs provided by principals to IMRs; and IMRs’ perceptions of the adequacy and fairness of the principals’ compensation plans. Findings Two constructs – inter-organizational climate and perceptions of mutual satisfaction with the agency-principal dyad – mediated the effects of exogenous sales controls on two compliance behaviors. The model’s data were analyzed using Partial least squares structural equation modeling (PLS-SEM). A marker variable was deployed to check for common method variance also supported using the Partial least squares (PLS) factor solution. Most variables demonstrated significant direct and mediated effects on each compliance behavior. Variables that emphasized behavioral-based controls dominated intentions for IMRs to engage in non-selling tasks. The principal commission structure, the only sales outcome-based control in the study, most influenced IMRs’ intentions to commit additional sales time to their principals’ products. Research limitations/implications This study only examined the intentions of IMRs to engage in additional selling activities and their intention to engage in non-selling tasks. Principals may desire longer-term commitments from IMRs. The model developed here can be modified to capture additional behavioral and attitudinal outcomes including, for example, the exit intentions of IMRs. Practical implications Principals are well-advised to foster a positive inter-organizational climate that fuels perceptions of mutually satisfying working relationships with their IMRs. These mutually satisfying working relationships can, by themselves, positively influence IMRs to acquiesce to reasonable requests made by principals. This advice appears to be particularly crucial when asking IMRs to engage in additional non-selling tasks. The total pattern of path estimates points to the conclusion that capable sales control plays an important role in fostering positive inter-organizational climates. The inter-organizational climate – mutual satisfaction link proved crucial as a mediator of the impact of sales controls on IMRs’ behavioral compliance intentions. Originality/value Knowing the impact of sales controls on IMR’s affords businesses the ability to use these controls for behavioral compliance intentions on non-selling tasks.


2020 ◽  
Author(s):  
Ha Nam Khanh Giao

The aim of this research is to examine the effect of perceived brand globalness on consumers’ purchase intention, noting the mediating roles of perceived brand prestige and quality, brand social responsibility, and the moderating roles of consumer ethnocentrism. Survey data collected from 613 consumers in Vietnam was analyzed to provide evidence. Results from the partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3.0 program indicated that there was a positive impact of perceived brand globalness on consumers’ purchase intention; this was mediated partially through perceived brand prestige and quality, and brand social responsibility. Moreover, this study also found the moderatingeffects of consumer ethnocentrism on the impacts of perceived brand globalness onconsumer’s purchase intention and on perceived brand quality. Consumer ethnocentrism dampened the positive association between perceived brand globalness and perceived brand quality as well as reduced purchase intention of Vietnamese consumers. The finding also implies that marketers should build a suitable marketing strategy to heighten consumers’ purchase intention.


2019 ◽  
Vol 7 (1) ◽  
pp. 23 ◽  
Author(s):  
Qaswa Kamran ◽  
Danish Ahmed Siddiqui

This study was conducted to identify the impact of emotional advertising on consumer buying behavior. The research is limited to high involvement products specifically home appliance brands. It also aims to assess the most influential advertising appeal that impacts the buying decision of the consumers. A quantitative approach was used, and the questionnaire-based survey was conducted using a sample size of 200 respondents and their response to different appeals like love, humor, happiness and excitement were recorded. The hypothesized model has been tested using factor analysis and structural equation modeling (SEM). The results show a positive impact of emotions like love, humor and happiness in influencing the purchase intention of the consumers. The paper confirms the positive relationship between emotional advertising and consumer buying behavior with respect to the home appliance brands.


Author(s):  
Thi Thanh An Luu ◽  
John R. Baker

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.


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