Pei-San Lo

641 total citations · 1 hit paper
10 papers, 418 citations indexed

About

Pei-San Lo is a scholar working on Sociology and Political Science, Marketing and Information Systems and Management. According to data from OpenAlex, Pei-San Lo has authored 10 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Sociology and Political Science, 7 papers in Marketing and 5 papers in Information Systems and Management. Recurrent topics in Pei-San Lo's work include Digital Marketing and Social Media (9 papers), Technology Adoption and User Behaviour (5 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Pei-San Lo is often cited by papers focused on Digital Marketing and Social Media (9 papers), Technology Adoption and User Behaviour (5 papers) and Consumer Behavior in Brand Consumption and Identification (3 papers). Pei-San Lo collaborates with scholars based in Malaysia, China and Taiwan. Pei-San Lo's co-authors include Garry Wei‐Han Tan, Keng‐Boon Ooi, Eugene Cheng‐Xi Aw, Yogesh K. Dwivedi, Bhimaraya Metri, Ying Zhou, WeiLee Lim and Yet Mee Lim and has published in prestigious journals such as Journal of Business Research, Journal of Retailing and Consumer Services and Telematics and Informatics.

In The Last Decade

Pei-San Lo

9 papers receiving 396 citations

Hit Papers

Why do consumers buy impulsively during live streaming? A... 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis
    2022 237 citations Pei-San Lo, Yogesh K. Dwivedi et al. Journal of Business Research profile →

Peers

Pei-San Lo
John T. Gironda United States
Toulany Thavisay South Korea
Gian M. Fulgoni Australia
Nupur Arora India
Li Wen-Lu China
Neha Yadav India
Dai Yao Hong Kong
Jurui Zhang United States
Robert Ciuchita Finland
John T. Gironda United States
Pei-San Lo
Citations per year, relative to Pei-San Lo Pei-San Lo (= 1×) peers John T. Gironda

Countries citing papers authored by Pei-San Lo

Since Specialization
Citations

This map shows the geographic impact of Pei-San Lo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pei-San Lo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei-San Lo more than expected).

Fields of papers citing papers by Pei-San Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-San Lo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pei-San Lo. The network helps show where Pei-San Lo may publish in the future.

Co-authorship network of co-authors of Pei-San Lo

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-San Lo. A scholar is included among the top collaborators of Pei-San Lo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pei-San Lo. Pei-San Lo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Lo, Pei-San, et al.. (2025). Make your fans mine: the effects of value co-creation with idols on brand advocacy. Journal of Product & Brand Management. 35(4). 481–498.
2.
Lo, Pei-San, Garry Wei‐Han Tan, Eugene Cheng‐Xi Aw, & Keng‐Boon Ooi. (2024). Shared moments, lasting impressions: Experience co-creation via travel livestreaming. Journal of Hospitality and Tourism Management. 58. 456–466. 19 indexed citations
3.
Tan, Garry Wei‐Han, et al.. (2024). Engage to co-create! The drivers of brand co-creation on social commerce. Marketing Intelligence & Planning. 43(2). 440–460. 14 indexed citations
4.
Tan, Garry Wei‐Han, et al.. (2023). A relook at the mobile advertising landscape: What are the new consumer expectations in the retailing industry?. Telematics and Informatics. 79. 101953–101953. 13 indexed citations
5.
Zhou, Ying, et al.. (2022). The survey dataset of The Influence of theory of planned behaviour on purchase behaviour on social media. Data in Brief. 42. 108239–108239. 7 indexed citations
6.
Lo, Pei-San, Yogesh K. Dwivedi, Garry Wei‐Han Tan, et al.. (2022). Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis. Journal of Business Research. 147. 325–337. 237 indexed citations breakdown →
7.
Dwivedi, Yogesh K., et al.. (2022). Unlocking Pathways to Mobile Payment Satisfaction and Commitment. Journal of Computer Information Systems. 63(4). 998–1015. 35 indexed citations
8.
Tan, Garry Wei‐Han, et al.. (2022). How does involvement build loyalty towards music-streaming platforms? A multi-analytical SEM-ANN technique. Journal of Product & Brand Management. 32(4). 645–660. 17 indexed citations
9.
Tan, Garry Wei‐Han, et al.. (2021). Fashion shopping on the go: A Dual-stage predictive-analytics SEM-ANN analysis on usage behaviour, experience response and cross-category usage. Journal of Retailing and Consumer Services. 65. 102851–102851. 49 indexed citations
10.
Tan, Garry Wei‐Han, et al.. (2021). What’s Stopping You from Migrating to Mobile Tourism Shopping?. Journal of Computer Information Systems. 62(6). 1223–1238. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026