Dataset on usage and engagement patterns for Facebook Live sellers in Thailand

Dehouche, Nassim

doi:10.1016/j.dib.2020.105661

Cited by 7 publications

(6 citation statements)

References 4 publications

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“…Researchers have also become interested in the ways technological configurations, including aspects related to social media design, favour purchase intentions (Baethge et al, 2016;Hussain et al, 2021) and in engagement patterns and strategies related to marketing, including pricing, advertising or customer relationships for s-commerce sellers (Baethge et al, 2016;Dehouche, 2020;Kumar et al, 2021;Wongkitrungrueng et al, 2020). Finally, the success of communication and advertising processes in s-commerce has mainly been observed from specific standpoints, including the channel's transaction speed, growth and performance (Bugshan and Attar, 2020;Ng, 2013;Riaz et al, 2021).…”

Section: Theoretical Background 21 S-commercementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…By focusing on the C2C seller's perspective, this study departs from the literature related to sales on s-commerce, which has mainly investigated specific B2C platforms and aimed to understand how sales performance can be increased (Chen et al, 2021;Dehouche, 2020;Kumar et al, 2021;Wongkitrungrueng et al, 2020). Localized in C2C contexts, it considers the unaddressed non-professional sellers' involvement taking into consideration the sociocultural and interactional drivers of engagement recently acknowledged in the literature (Busalim et al, 2021;Cheng et al, 2019;Gibreel et al, 2018;Ng, 2013).…”

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confidence: 99%

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Casual selling practice: a qualitative study of non-professional sellers' involvement on C2C social commerce platforms

Schwob

Kervenoael

Kirova

et al. 2022

ITP

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PurposeRecent substantial developments of consumer-to-consumer social commerce platforms (C2C-SCPs) emboldened consumers/users to be involved as sellers. Considering C2C social networks that privilege local reach, this paper aim to explore how the practice-based view informs non-professional sellers' involvement.Design/methodology/approachUnderpinned by data from 29 semi-structured interviews with non-professional sellers on Kaskus, one of the largest local Indonesian C2C-SCPs, the study reveals the emergence of a novel structural practice that we call casual selling.FindingsThe findings show that casual selling allows non-professional sellers' involvement in C2C-SCPs through three broad categories of practices: priming oneself, producing commercial operations and valuing others. Within these three categories, non-professional sellers are found to generate both personal and collective involvement along nine situated market practices.Research limitations/implicationsThis paper adds to previous research by introducing the practice-based view to social commerce literature. In doing so, it deals with the under-investigated seller's perspective and activities that prevail in C2C-SCPs.Originality/valueIn C2C-SCPs, casual selling constitutes a distinct mode of involvement in social commerce in which established professional selling standards are suspended. As a structural practice, it entices non-professional sellers to consider a wider variety of situations in which they are in dialogue with other individuals (buyers and sellers) to shape s-commerce potential. In doing so, C2C-SCP users draw on a dynamic intertwining between digital technology and the socio-cultural environment surrounding s-commerce.

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Section: Theoretical Background 21 S-commercementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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Casual selling practice: a qualitative study of non-professional sellers' involvement on C2C social commerce platforms

Schwob

Kervenoael

Kirova

et al. 2022

ITP

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“…The advantage of this improvement is that the amount of calculation is much less than that of the previous method, and the optimal solution can also be achieved [14] .…”

Section: Knn Imputation and P-k-meansmentioning

confidence: 99%

K-means clustering for the analysis of incomplete business data

Qi¹,

Ma²

2021

AJCIS

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Missing values can significantly reduce the accuracy and availability of business data. Usually, when clustering incomplete data, the data with missing values are deleted, and only the complete data are analyzed. However, this often leads to significant loss or deviation of information. This paper mainly studies how to use unsupervised machine learning techniques to deal with missing values. The combination of imputation method and clustering technology forms a new method to deal with missing values, which is helpful to overcome the problem of missing data. We propose a strategy based on the combination of K-means, big data K-means, p-k-means, and mean imputation method, singular value decomposition imputation method, k-nearest neighbor imputation method. By comparing the performance of nine methods in different business data sets. The experimental analysis was carried out on four benchmark data sets. The effectiveness of K-means clustering and imputation methods is verified on different data sets, and the results also have a certain application prospect.

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“…Prior work on online health forums focuses on analyzing participation (Schultz et al, 2019;Sadeque et al, 2015;van Campen and Iedema, 2007), social connection and engagement (Sharma et al, 2020a;Kushner and Sharma, 2020;Smith-Merry et al, 2019;Halder et al, 2017), and modelling user behavior (Hosseini and Caragea, 2021;Sharma et al, 2020b;Buechel et al, 2018;Elliott et al, 2018;Pérez-Rosas et al, 2017;Gibson et al, 2016;Choudhury and De, 2014). Further, existing research focuses on the linguistic analysis of conversations in social media platforms like Facebook (Dehouche, 2020;Tian et al, 2017;Vyas et al, 2014;Das and Gambäck, 2013), Reddit and Twitter (Zomick et al, 2019;Rudra et al, 2019;Kiesling et al, 2018;Rijhwani et al, 2017;Tran and Ostendorf, 2016;Celli and Rossi, 2012;Bak et al, 2012;Gouws et al, 2011), but has paid little attention to analyzing the conversations in small, close-knit WhatsApp communities. In this paper, we propose a hierarchical annotation framework to facilitate the analysis of health-focused WhatsApp groups.…”

Section: Introductionmentioning

confidence: 99%

A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums

Mondal¹,

Bali²,

Jain³

et al. 2021

Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop

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In recent years, remote digital healthcare using online chats has gained momentum, especially in the Global South. Though prior work has studied interaction patterns in online (health) forums, such as TalkLife, Reddit and Facebook, there has been limited work in understanding interactions in small, closeknit community of instant messengers. In this paper, we propose a linguistic annotation framework to facilitate the analysis of healthfocused WhatsApp groups. The primary aim of the framework is to understand interpersonal relationships among peer supporters in order to help develop NLP solutions for remote patient care and reduce the burden of overworked healthcare providers. Our framework consists of fine-grained peer support categorization and message-level sentiment tagging. Additionally, due to the prevalence of multilinguality in such groups, we incorporate word-level language annotations. We use the proposed framework to study two WhatsApp groups in Kenya for youth living with HIV, facilitated by a healthcare provider.

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Dataset on usage and engagement patterns for Facebook Live sellers in Thailand

Cited by 7 publications

References 4 publications

Casual selling practice: a qualitative study of non-professional sellers' involvement on C2C social commerce platforms

Casual selling practice: a qualitative study of non-professional sellers' involvement on C2C social commerce platforms

K-means clustering for the analysis of incomplete business data

A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums

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