E-commerce Product Networks, Word-of-mouth Convergence, and Product Sales

Lin, Zhijie; Wang, Quansheng

doi:10.17705/1jais.00481

Cited by 12 publications

(35 citation statements)

References 37 publications

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“…There are two recent studies made efforts towards such direction. Lin and Wang [12] studied the effect of direct paths, e.g. one product recommends another, on the rating similarity between the two products.…”

Section: Product Recommendation Network (Prn)mentioning

confidence: 99%

“…As another focus of marketing studies, the electronic Word-of-Mouth's (eWOM) impact on consumer purchase intention [9][10] or consumer engagement of posting [11] has been widely studied. With the increasing attentions on the PRNs in recent year, the link between PRN and eWOM has been explored, suggesting that two directly-connected products in a PRN would have similar eWOM rating with each other [12]. However, whether the indirect connections have the similar effect, and what is the influence of the number of paths connecting two products are still unknown.…”

Section: Introductionmentioning

confidence: 99%

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The effect of product distance on the eWOM in recommendation network

Xue

Hou

Liu

2020

Electron Commer Res

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The online Product Recommendation Networks (PRNs), connecting similar products with hyperlinks, have been widely implemented in user-generated content websites and ecommerce systems. With the PRNs as the virtual shelves, this paper explores the impact of the distance between products on the formation of product electronic Word-of-Mouth (eWOM). Employing an empirical book recommendation network of Amazon, the study one explores the effect of a focal product's neighborhood (nearby others) on its eWOM, and study two explores the eWOM similarity between product pairs that are at one, two and three clicks away from each other. The results reveal the significant role played by the product distance on the association of their eWOM. On one hand, a focal product's eWOM is largely influenced by that of its neighborhood. On the other hand, the good connectivity between two products, which is defined as the number of paths connecting them, is closely associated with the eWOM similarity between them. The findings suggest that the products should be considered as interactive collectives rather than separated individuals particularly in the eWOM studies.

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Section: Product Recommendation Network (Prn)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effect of product distance on the eWOM in recommendation network

Xue

Hou

Liu

2020

Electron Commer Res

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“…It can also be regarded as the overall sentiment of eWOM [34,35]. Most studies have reported a significant, positive effect of valence [27,36], but other studies have not found a significant effect [29,37]. The overall sentiment of eWOM represents the emotion conveyed by reviewers to consumers.…”

Section: Ewom's Effect On Salesmentioning

confidence: 99%

“…Figure 1 shows the framework of our study; it will help researchers develop a sales prediction model for products with abundant eWOM and multiple attributes. First, based on the findings that eWOM volume [25,[27][28][29] and ratings [27,36] positively affect sales, we developed the eWOM model by integrating eWOM variables into the autoregressive (AR) model. Additionally, we developed the GSI model by integrating Google Trends into the AR model based on findings in the literature [41].…”

Section: Ewom-based and Gsi-based Sales Predictionmentioning

confidence: 99%

Sales Prediction by Integrating the Heat and Sentiments of Product Dimensions

et al. 2019

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Online word-of-mouth (eWOM) disseminated on social media contains a considerable amount of important information that can predict sales. However, the accuracy of sales prediction models using big data on eWOM is still unsatisfactory. We argue that eWOM contains the heat and sentiments of product dimensions, which can improve the accuracy of prediction models based on multiattribute attitude theory. In this paper, we propose a dynamic topic analysis (DTA) framework to extract the heat and sentiments of product dimensions from big data on eWOM. Ultimately, we propose an autoregressive heat-sentiment (ARHS) model that integrates the heat and sentiments of dimensions into the benchmark predictive model to forecast daily sales. We conduct an empirical study of the movie industry and confirm that the ARHS model is better than other models in predicting movie box-office revenues. The robustness check with regard to predicting opening-week revenues based on a back-propagation neural network also suggests that the heat and sentiments of dimensions can improve the accuracy of sales predictions when the machine-learning method is used.

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“…For example, a handful of existing research examines how e‐commerce adoption led to business value creation (Du & Mao, 2018; X. Li, Troutt, Brandyberry, & Wang, 2011; Tan, Pan, Lu, & Huang, 2015). Strategies in catering for consumer preferences and maximise sales performance were discussed (Chen, Huang, & Davison, 2017; Fang et al, 2014; Huang, Chen, Ou, Davison, & Hua, 2017; Martinsons, 2008), including product categorisation (Lin & Wang, 2018), time‐limited discounts (H. Li, Fang, Lim, & Wang, 2019) and the use of computer‐mediated communication tools on e‐commerce platforms (Ou, Pavlou, & Davison, 2014).…”

Section: Introductionmentioning

confidence: 99%

Digital resilience: How rural communities leapfrogged into sustainable development

Tim

Cui

Sheng

2020

Information Systems Journal

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Digital social innovation (DSI)—the novel use of digital technology to address societal challenges—plays a critical role in our collective pursuit of sustainable development. In this practitioner paper, we present an in‐depth DSI case study where the grassroots communities in a remote county leveraged e‐commerce to leapfrog out of poverty, becoming successful entrepreneurs with online businesses that thrive on a global scale. Based on this case study, we first discuss three leapfrogging opportunities afforded by e‐commerce, which were successfully embraced by the grassroots communities to begin the transformative journey. We then reveal three obstacles that emerged during the technology leapfrogging process, which have challenged the sustainability of the grassroots DSI endeavour. Lastly, we discuss three top‐down interventions that have been instrumental in overcoming the bottleneck of grassroots leapfrogging development and subsequently nurture a self‐sustaining, resilient community. Overall, by discussing some of the common barriers to the growth and sustainability of DSI, and how they have been addressed, this article offers insights and recommendations for policymakers, public and private sector practitioners, and communities in underdeveloped regions to navigate both the potentials and pitfalls of technology leapfrogging, and ultimately build a pathway towards resilience and sustainability.

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E-commerce Product Networks, Word-of-mouth Convergence, and Product Sales

Cited by 12 publications

References 37 publications

The effect of product distance on the eWOM in recommendation network

The effect of product distance on the eWOM in recommendation network

Sales Prediction by Integrating the Heat and Sentiments of Product Dimensions

Digital resilience: How rural communities leapfrogged into sustainable development

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