PUBLICATIONS / 論文 # in recent 5 years
- Li, Y., Chang, Y., Li, Z., & Geng, L. (2024). The value of psychological ownership: How buy-online-and-pick-up-in-store enhances consumer loyalty. European Journal of Marketing, 58(1), 119–142. https://doi.org/10.1108/EJM-05-2022-0378
- Liu, Y., Li, B., Yang, S., & Li, Z. (2024). Handling missing values and imbalanced classes in machine learning to predict consumer preference: Demonstrations and comparisons to prominent methods. Expert Systems with Applications, 237, 121694. https://doi.org/10.1016/j.eswa.2023.121694
- Yan, J., Pan, J., Li, Z., & Chang, Y. (2024). Promoting eco-friendly advertising on social media: The fit between appeals and tie strength. International Journal of Advertising, 43(1), 202–230. https://doi.org/10.1080/02650487.2023.2243732
- Xiao, J., Yang, Z., Li, Z., & Chen, Z. (2023). A review of social roles in green consumer behaviour. International Journal of Consumer Studies, 47(6), 2033–2070. https://doi.org/10.1111/ijcs.12865
- Yang, S., Wang, Y., Li, Z., Chen, C., & Yu, Z. (2022). Time-of-day effects on (un)healthy product purchases: Insights from diverse consumer behavior data. Journal of Business Research, 152, 447–460. https://doi.org/10.1016/j.jbusres.2022.07.058
- Gao, B., Li, Z., & Yan, J. (2022). The influence of social commerce on eco‐friendly consumer behavior: Technological and social roles. Journal of Consumer Behaviour, 21(4), 653–672. https://doi.org/10.1002/cb.2022
- Li, Z., Yada, K., & Zennyo, Y. (2021). Duration of price promotion and product profit: An in-depth study based on point-of-sale data. Journal of Retailing and Consumer Services, 58, 102277. https://doi.org/10.1016/j.jretconser.2020.102277
- Cao, D., Gupta, S., Lim, M. K., Dhir, A., Li, Z., & Schiavone, F. (2021). Consumers’ role in addressing plastic pollution. Resources, Conservation and Recycling, 169, 105473 (CFP as Guest Editor). https://doi.org/10.1016/j.resconrec.2021.105473
- Li, Z., Li, F., Xiao, J., & Yang, Z. (2020). Topic features in negative customer reviews: Evidence based on text data mining. The Review of Socionetwork Strategies, 14(1), 19–40. https://doi.org/10.1007/s12626-019-00041-5
- Ishibashi, K., Li, Z., & Yada, K. (2019). Application of deep learning to eye tracking video for estimating sales area where consumer looked. in-Proceedings of 34th Annual Conference of the Japanese Society for Artificial Intelligence, 1–2.
- Li, Z. (2019). Sales effects of online product reviews: A comparison of two different types of sellers. Journal of Business Administration, 93, 65–79. http://id.nii.ac.jp/1060/00010537
- Li, Z., & Hou, A. C. (2019). Online purchase preference and individual characteristics: A moderation approach. International Journal of Electronic Commerce Studies, 10(1), 1–21. https://doi.org/10.7903/ijecs.1694
- Li, Z. (2018). How consumers perceive risks in online shopping: A comparison across product classes. Journal of Business Administration, 92, 39–53. http://id.nii.ac.jp/1060/00010232
- Li, Z., Li, F., Xiao, J., & Yang, Z. (2018). Effects of negative customer reviews on sales: Evidence based on text data mining. in-Proceedings of 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 838–847. https://doi.org/10.1109/ICDMW.2018.00124
- Li, Z., & Shimizu, A. (2018). Impact of online customer reviews on sales outcomes: An empirical study based on prospect theory. The Review of Socionetwork Strategies, 12(2), 135–151. https://doi.org/10.1007/s12626-018-0022-9
- Fujioka, R., Li, Z., & Kaneko, Y. (2018). The democratisation of luxury and the expansion of the Japanese market, 1960–2010. In P.-Y. Donzé & R. Fujioka (Eds.), Global Luxury (pp. 133–156). Springer Singapore. https://doi.org/10.1007/978-981-10-5236-1_7
- Li, Z. (2017). Consumer online purchase intention and product class. Journal of Business Administration, 89, 119–130. http://id.nii.ac.jp/1060/00008579
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BOOKS / 著書
『Rで統計を学ぼう! 文系のためのデータ分析入門』
中央経済社
2017年11月
ISBN:978-4502244117
Global Luxury: Organizational Change and Emerging Markets since the 1970s
Palgrave Macmillan
Oct. 2017
ISBN:978-9811052354
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AWARDS / 受賞
Nov. 2018 | 2018 Teaching & Research Excellence Award, Toyo University. |
Mar. 2017 | 2016 INFORMS Annual Young Fellow Award |
Oct. 2016 | Best Paper Award, The 3rd International Conference of Asian Marketing Associations |
Jun. 2014 | Social Science Special Incentive Award (Ryoso Award), Kobe University |
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GRANTS / 研究費
Impacts of In-feed Advertising on consumer engagement: Insights from Eye-tracking experiments
Japan-China Scientific Cooperation Program between JSPS and NSFC
Period: 2022.4 – 2024.12 (研究分担者)
アイトラッキングを用いた投資家の意思決定における認知プロセスの体系化
日本学術振興会: 科学研究費助成事業(基盤研究(B))
研究期間: 2022年度 – 2025年度 (研究分担者)
インフィード広告が消費者エンゲージメントに及ぼす影響
公益財団法人 吉田秀雄記念事業財団: 研究助成
研究期間: 2022年度 – 2023年度 (研究代表者)
自然言語処理を用いたeクチコミの解析と消費者行動の理解
日本学術振興会: 科学研究費助成事業(若手研究)
研究期間: 2021年度 – 2024年度 (研究代表者)
視線追跡データの解析に基づくオンライン市場のマーケティング効果のモデル推定
日本学術振興会: 科学研究費助成事業(若手研究(B))
研究期間: 2017年度 – 2019年度 (研究代表者)
パスデータの融合による研究フロンティアの創出
日本学術振興会: 科学研究費助成事業(基盤研究(A))
研究期間: 2016年度 – 2020年度 (研究分担者)
オブジェクティブ・パネルデータを用いた消費者購買行動の動的モデリング
日本学術振興会: 科学研究費助成事業(基盤研究(A))
研究期間: 2016年度 – 2020年度 (研究分担者)
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