Electronic word-of-mouth and consumer purchase intentions in social e-commerce

Zhao, Yang; Lin, Wang; Tang, Huijie; Zhang, Yaming

doi:10.1016/j.elerap.2020.100980

Cited by 159 publications

(160 citation statements)

References 42 publications

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“…Furthermore, social media users tend to rely on available information based on electronic word-of-mouth (eWOM) references from previous users. Despite there is no direct acquaintance, the minimal socialpsychological distance between users and the eWOM issuers will make them sense a closer identity to these people and thereby increasing the likelihood to think of themselves as part of a common social group (Zhao et al, 2020). Given these strong effects, ignoring these social influences would underestimate the potential for shifting user preferences with respect to the use of a technology (Axsen et al, 2013).…”

Section: Structural Modelmentioning

confidence: 99%

Factors Influencing Use of Social Commerce: An Empirical Study from Indonesia

Rahman¹,

Fauzia²,

Pamungkas³

2020

JAFEB

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This research aims to analyze the factors affecting the acceptance of social commerce, including performance expectancy, effort expectancy, social support, facilitating conditions, hedonic motivation, habitability, price saving orientation, and privacy concerns using the Unified Theory of Acceptance and Use of Technology (UTAUT2). UTAUT2 has been examined and modified in various contexts. The research model studies the acceptance and use of technology in the context of customers. This study adopts a quantitative method using the partial least squares regression (PLS) approach involving 244 respondents. The respondents are users of social commerce in Indonesia. The result of this research indicates that social influence, facilitating conditions, hedonic motivation, habit, price value orientation, and privacy concerns have a significant effect on behavioral intention. On the other hand, performance expectancy and effort expectancy does not affect behavioral intention. Furthermore, price value has a significant effect on social commerce user behavior. Lastly, facilitating conditions and habits does not affect social commerce user behavior. This research contributes to the development of theory by examining an additional variable, which is privacy concern. This study is significant since social media and social commerce have grown exponentially nowadays. Implications of the results for the development of the theory (UTAUT2) and practice are discussed in the article.

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Section: Structural Modelmentioning

confidence: 99%

Factors Influencing Use of Social Commerce: An Empirical Study from Indonesia

Rahman¹,

Fauzia²,

Pamungkas³

2020

JAFEB

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“…The advancement of Internet changes people's consumption behavior remarkbly. Since 2011, social e-commerce platforms such as Xiaohongshu, Mogujie, and Meilishuo have sprung up (Zhao et al, 2020). This type of platform employs user-generated content as a key tool to assist online shoppers (Zhu, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…This type of platform employs user-generated content as a key tool to assist online shoppers (Zhu, 2014). Electronic word of mouth (eWOM) has become an important part of social commerce (Zhao et al, 2020). And in this process, these applications play an important role in their decisions.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Perceived Risk on Consumers’ Cross-Platform Buying Behavior

Zhang

2020

Front. Psychol.

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In recent years, social application with shopping has become an indispensable activity in people's daily lives. A number of previous studies have investigated various risks in online shopping and consumer's belief. However, few scholars paid more attention to buying behavior, especially on consumer's cross-platform buying behavior. Although consumers can purchase goods directly in platforms that have given them information, they also buy target products on other platforms. This study conceptualizes and implements concepts such as perceived risk, trust, negative reports, and consumer cross-platform buying behavior. A questionnaire survey of users (n = 366) was conducted, and a basic description and comparison of consumers' cross-platform buying behavior were made in terms of consumers' perception of the risk of product effects, consumers' perception of service risks, and consumers' perceptions of other risks. The degree of trust in the platform and negative reports about the platform also affect cross-platform buying behavior. As a result, these findings are discussed and explained, and some reference is provided for related platforms. Besides, the study's finding concerning consumer's buying behavior depends on the security of platform in people's conceptions.

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“…Pesatnya perkembangan teknologi dan paradigma perubahan cepat yang dialami oleh konsumen secara tidak langsung memaksa perusahaan untuk ikut berubah. Terlepas dari bidang produk maupun jasa pada era saat ini, maka sudah waktunya turut melibatkan pemanfaatan jaringan internet sebagai salah satu alat bantu mereka dengan mengintegrasikan lingkungan bisnis yang dimiliki, seperti konsumen, data dan informasi dalam jumlah besar, komunitas fisik dan virtual, serta lingkungan internal dan eksternal yang berpengaruh secara langsung terhadap perusahaan [1].…”

Section: Pendahuluanunclassified

Hubungan Variabel Pemasaran Digital Terhadap Electronic Word Of Mouth (E-WOM): Sebuah Studi Literatur

Hariyanti

Trianto

Wirapraja

2020

teknika

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Pemasaran adalah bidang keilmuan yang menarik dan dilengkapi dengan aspek digital menjadikan pemasaran digital sebagai salah satu bidang keilmuan yang memiliki cakupan yang sangat besar, terlebih dengan mengaitkannya kepada keterlibatan konsumen. Pada penelitian terdahulu didapatkan variabel-variabel penelitian yang digunakan untuk mengukur kepuasan dari konsumen, maka dengan menggunakan metode penelitian studi literatur peneliti menemukan variabel-variabel yang dianggap dapat digunakan untuk mengukur persepsi konsumen dari sisi kualitas website, kepuasan dan keinginan konsumen untuk berbagi dengan konsumen lainnya, dengan memanfaatkan literatur ilmiah antara rentang waktu tahun 2015-2020. Hasil pemetaan literatur yang dilakukan didapatkan hasil bahwa variabel yang secara umum digunakan dalam penelitian pemasaran digital adalah kualitas website untuk mengukur kehandalan dari situs, kepuasan konsumen yang diungkapkan secara elektronik (e-satisfaction), kualitas informasi yang diberikan oleh situs dan keinginan konsumen untuk berbagi pengalaman pengunaannya kepada konsumen lain (E-WOM). Selain variabel didapatkan pula metode yang sering digunakan dalam penelitian pemasaran digital adalah menggunakan metode kuantitatif dengan pendekatan Structural Equation Modelling (SEM).

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Electronic word-of-mouth and consumer purchase intentions in social e-commerce

Cited by 159 publications

References 42 publications

Factors Influencing Use of Social Commerce: An Empirical Study from Indonesia

Factors Influencing Use of Social Commerce: An Empirical Study from Indonesia

The Impact of Perceived Risk on Consumers’ Cross-Platform Buying Behavior

Hubungan Variabel Pemasaran Digital Terhadap Electronic Word Of Mouth (E-WOM): Sebuah Studi Literatur

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