The Influence of Digital Influencer, e-WOM and Information Quality on Customer Repurchase Intention toward Online Shop in e-Marketplace during Pandemic COVID-19: The Mediation Effect of Customer Trust

Wandoko, Wanda; Panggati, Ignatius Enda

doi:10.1080/15332667.2022.2035198

Cited by 30 publications

(24 citation statements)

References 40 publications

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“…These results support those of previously conducted research (Heydari et al, 2021;Huwae et al, 2020). Furthermore, these researchers found that e-WOM contributed positively to the intention to revisit (H5), a conclusion which supports those of earlier investigations (Wandoko & Panggati, 2022;Jalilvand & Samiei, 2012). Moreover, the findings of our analysis, as with those of previous investigations (Jalilvand & Samiei, 2012) found that e-WOM played a role in partially mediating the effect of the marketing mix and destination image on re-visit intentions (H6 and H7).…”

Section: Discussionsupporting

confidence: 90%

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

Adam¹,

Ibrahim²,

Putra³

et al. 2023

10.5267/j.ijdns

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Word-of-mouth (WOM) has been recognized as one of the most influential forms of information transmission. Advances in information technology and the emergence of online social networking sites have changed the manner in which data is delivered. This phenomenon has an impact on consumers because readily accessible information can significantly influence consumption-related decisions. The purpose of this paper is to examine the role of e-WOM in mediating the influence of the marketing mix and destination image on the intention of tourists to re-visit destinations. The primary data was derived from 190 tourist respondents and collected by means of questionnaires distributed via Google forms. The resulting data was analyzed using AMOS-SEM, while evaluating the role of e-WOM as a model involving a Sobel test. The results of the analysis indicated that e-WOM plays a highly significant role in piquing individual's' interest in re-visiting tourist sites. Contributory factors such as the marketing mix, destination image, and e-WOM all support this research hypothesis.

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Section: Discussionsupporting

confidence: 90%

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

Adam¹,

Ibrahim²,

Putra³

et al. 2023

10.5267/j.ijdns

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“…Many previous studies on influencer marketing have focused on how to generate e-WOM intention based on influencers' marketing reviews on an e-commerce platform (Dwidienawati et al. , 2020; Wandoko and Panggati, 2022). However, little attention has been paid to how new technologies (e.g.…”

Section: Discussionmentioning

confidence: 99%

The e-WOM intention of artificial intelligence (AI) color cosmetics among Chinese social media influencers

Simay

Wei

Gyulavári

et al. 2022

APJML

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PurposeThe recent advancements in smartphone technology and social media platforms have increased the popularity of artificial intelligence (AI) color cosmetics. Meanwhile, China is a lucrative market for various foreign beauty products and technological innovations. This research aims to investigate the adoption of AI color cosmetics applications and their electronic word-of-mouth (e-WOM) intention among Chinese social media influencers. Several key concepts have been proposed in this research, namely body esteem, price sensitivity, social media addiction and actual purchase.Design/methodology/approachAn online questionnaire design was used in this research. A combination of purposive sampling and snowball sampling of AI color cosmetics users who are also social media influencers in China yields 221 respondents. To analyze the data, this research employs Structural Equation Modelling (SEM) method via SPSS and AMOS software. A 2-step approach, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), is implemented to prove the hypotheses and generate the results.Findings1) Social media addiction is a positive predictor of AI color cosmetics usage, (2) AI color cosmetics usage is a positive predictor of actual purchase, (3) actual purchase is a positive predictor of e-WOM intention and lastly, (4) there is a full mediation effect of actual purchase.Originality/valueThis research draws on the uses and gratification (U&G) theory to investigate how specific user characteristics affect Chinese social media influencers' adoption of AI color cosmetics, as well as how this may affect their decision to purchase branded color cosmetics and their e-WOM.

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“…In a study by Chandra (2021), trust and quality of information were revealed as having a significant influence on the desire for online purchases. Other studies supported the idea that the quality of the information and services provided had the most significant long‐term impact on consumersʼ use of an online platform (Kusumawati et al., 2021; Wandoko & Panggati, 2022). It should be mentioned that the decision‐making process for online purchasing differs between men and women, with women less inclined towards risk‐taking.…”

Section: Literature Reviewmentioning

confidence: 91%

“…Various studies have analysed the online purchasing intentions of consumers and the impacts on business owners (Bracci et al., 2021; Kusumawati et al., 2021; Wandoko & Panggati, 2022). With the arrival of COVID‐19, already active online businesses faced difficulties in maintaining the interest of consumers for long‐term purchasing, due to the development of the online shadow economy (Bracci et al., 2021).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The advantage of online marketing and online participation for women is perceived as additional earnings (Goltz et al., 2015; Steyer & Gilbert, 2013). Other studies note that the development of the digital economy and online markets has been affected by the COVID‐19 pandemic (Artanti et al., 2021; Chandra, 2021; Wandoko & Panggati, 2022). Researchers have raised issues of differences in online shopping behaviour between women and men and the gender dimensions of womenʼs participation in e‐commerce (Lu & Zhang, 2020; Sultana & Akter, 2021; Szymkowiak & Garczarek‐Bąk, 2018).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Kazakhstani womenʼs participation in online marketplaces: Benefits and barriers

Kireyeva

Satpayeva

Kenzhegulova

et al. 2022

Asia & Pacific Policy Stud

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This study aims to investigate womenʼs participation in offline and online marketplaces and identify related factors, particularly the digital divide, access to the internet, and the level of information and communications technology (ICT) proficiency. It discusses the empirical methodology of its two approaches: a descriptive analysis of statistical data and a sociological survey. This study employs quantitative analyses. The respondents to this study were women who used marketplaces in Kazakhstan. The model was tested using the data for 295 respondents. The results reveal the COVID‐19 pandemic affected both the number of online purchases and the structure of those purchases: women began ordering more medicines and food, and less equipment and clothing online. The main factors affecting participation in online marketplaces are income level, access to the internet, and the use of ICT. This study tries to reduce the gap in the literature on the benefits and barriers for women by providing empirical evidence about the influence of COVID‐19 on online marketplaces.

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The Influence of Digital Influencer, e-WOM and Information Quality on Customer Repurchase Intention toward Online Shop in e-Marketplace during Pandemic COVID-19: The Mediation Effect of Customer Trust

Cited by 30 publications

References 40 publications

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

The effect of e-WOM model mediation of marketing mix and destination image on tourist revisit intention

The e-WOM intention of artificial intelligence (AI) color cosmetics among Chinese social media influencers

Kazakhstani womenʼs participation in online marketplaces: Benefits and barriers

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