Altruism and Egoism in e-WOM: The moderating effect of Facebook perceived ease of use

Puspitasari, Febriyanti Ismi; Soebandhi, Santirianingrum; Subagyo, Denny Hamzah; Nugroho, Aryo

doi:10.1109/isemantic.2019.8884276

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…According to Shiau and Chan [110], this motivation drives individuals to share information with the aim of benefiting others. Therefore, altruism can lead to the action of sharing experiences to positively influence other consumers [38,76,111]. Additional research supports the relevance of altruism in the specific context of restaurant websites [112], where consumers share their experiences with the purpose of influencing the purchasing decisions of others [102,113].…”

Section: H2: Social Benefit Motivation Positively Influences Ewom Sen...mentioning

confidence: 86%

“…These motivations, driven by concern for the well-being of others and enjoyment of helping others [74], play a significant role in EWOM communication [75], especially in the context of social media. Various works reveal that altruism affects the EWOM intention [38,76]. Some works have also highlighted that the altruistic approach to EWOM behavior can be an effective alternative to monetary incentives [61] and impact consumer behavior [77].…”

Section: Motivations Toward Ewom Sending Behaviormentioning

confidence: 99%

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Motivations toward Electronic Word-of-Mouth Sending Behavior Regarding Restaurant Experiences in the Millennial Generation

Haro-Sosa,

Moliner-Velázquez,

Gil-Saura

et al. 2024

JTAER

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A growing body of the literature on the study of online reviews presents interesting research opportunities, especially in services highly frequented by young consumer segments, such as restaurants. In this context, the present study examines the restaurant electronic word-of-mouth (EWOM) behavior of Millennial consumers by addressing both review queries before the purchase decision and writing and sending after the purchase. Based on the theory of reasoned action, a double objective is pursued. On the one hand, the influence of motivations related to extroversion, social benefits, and altruism on EWOM sending behavior is analyzed. On the other hand, the moderating role of EWOM consultation in these relationships is studied. Using a sample of 341 Millennials from Ecuador, a structural model is constructed that confirms the contribution of two types of motivations in sending EWOM: those of extroversion and those of social benefits. The results also reveal the moderating role of EWOM consultation alone in the effects of extraversion and altruism motivations. Managerial implications for restaurants derived from this study include improvements in the design of digital communication strategies tailored to Millennial customers based on their motivations.

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Section: H2: Social Benefit Motivation Positively Influences Ewom Sen...mentioning

confidence: 86%

Section: Motivations Toward Ewom Sending Behaviormentioning

confidence: 99%

Motivations toward Electronic Word-of-Mouth Sending Behavior Regarding Restaurant Experiences in the Millennial Generation

Haro-Sosa,

Moliner-Velázquez,

Gil-Saura

et al. 2024

JTAER

View full text Add to dashboard Cite

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“…The moderating effect of social media for recommending product and services S. Z. M. Zain [15] Influence, Agitate, Interactivity…”

Section: Discussionmentioning

confidence: 99%

“…At the beginning of 2020, there were no less than 2.5 billion active monthly users from a personal friendship web application, and it develops into a group to have a marketplace place. This feature has opened opportunities as a marketing tool by promoting any product or service through social media platforms [15]. This pattern is known as social media promotion [16], which is then used in conducting political campaigns on social media through the Facebook application.…”

Section: A Campaign In Social Mediamentioning

confidence: 99%

A Decision Guidance for Solving Success Rate Political Campaign Using Distance Weighted kNN in Nassi-Shneiderman Framework

Nugroho¹,

Sumpeno²,

Fujisawa³

et al. 2021

IJIES

Self Cite

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Campaigns on online social media are becoming intriguing because all parties can compete with each other. Various content can be created to support or defeat one another. Interaction is important to control the battlefield in the face of disinformation. The campaign team must be able to increase interaction and reporting it as a form of achievement. The reality is that the campaign team has not been able to provide a measurable report on the success rate of political campaign interaction on social media. This is because there is no standardization in measuring these interactions. This fact inspires to build a model for measuring campaign interaction on social media. This model will be able to help the campaign team. This study uses a dataset from a governor election campaign in Indonesia which is then tested on a presidential election campaign dataset in America. The model was built using machine learning with the k classification method Nearest Neighbor (kNN) and Distance Weight kNN (DWkNN). The research stages were arranged using the Nassi-Shneiderman Framework. This framework describes the stages and comparison of the use of the KNN and the DWkNN from the training to testing stages in an easy to understand manner. The kNN and DWkNN training stages showed excellent accuracy results of nearly 100%. Furthermore, at the testing stage using the crossvalidation method with a variety of fold 5 to 20 variations showed excellent results, namely 99.89% on the governor election dataset and a range of 98% on the American presidential election dataset. This classification model has been tested using several datasets from several candidate social media accounts. We also created a dataset campaign interaction. This study shows that the proposed model can outperform previous studies. So, that it provides novelty in the form of a campaign interaction guide model for the campaign team.

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Modeling Residents’ WOM Behavior Toward Tourism Through Altruism and the Theory of Reasoned Action

2023

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Altruism and Egoism in e-WOM: The moderating effect of Facebook perceived ease of use

Cited by 6 publications

References 17 publications

Motivations toward Electronic Word-of-Mouth Sending Behavior Regarding Restaurant Experiences in the Millennial Generation

Motivations toward Electronic Word-of-Mouth Sending Behavior Regarding Restaurant Experiences in the Millennial Generation

A Decision Guidance for Solving Success Rate Political Campaign Using Distance Weighted kNN in Nassi-Shneiderman Framework

Modeling Residents’ WOM Behavior Toward Tourism Through Altruism and the Theory of Reasoned Action

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