ELEKTRONIK WORD OF MOUTH UNTUK MENINGKATKAN MINAT BELI DI APLIKASI TIK TOK

Devi Angrahini Anni Lembana; Chan Alva Novendo

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Arenas-Gaitán, J., Rondan-Cataluña, F. J., & Ramírez-Correa, P. E. (2018). Antecedents of WOM: SNS-user segmentation. Journal of Research in Interactive Marketing, 12(1), 105–124. https://doi.org/10.1108/JRIM-07-2017-0052
Awad, N. F., & Ragowsky, A. (2008). Establishing Trust in Electronic Commerce Through Online Word of Mouth: An Examination Across Genders. Journal of Management Information Systems, 24(4), 101–121. https://doi.org/10.2753/MIS0742-1222240404
Cheng, Z., & Li, Y. (2024). Like, Comment, and Share on TikTok: Exploring the Effect of Sentiment and Second-Person View on the User Engagement with TikTok News Videos. Social Science Computer Review, 42(1), 201–223. https://doi.org/10.1177/08944393231178603
Erkan, I., & Evans, C. (2016a). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47–55. https://doi.org/10.1016/j.chb.2016.03.003
Erkan, I., & Evans, C. (2016b). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47–55. https://doi.org/10.1016/j.chb.2016.03.003
Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261–1270. https://doi.org/10.1016/j.jbusres.2014.11.006
Flynn, L. R., Goldsmith, R. E., & Eastman, J. K. (1996). Opinion Leaders and Opinion Seekers: Two New Measurement Scales. Journal of the Academy of Marketing Science, 24(2), 137–147. https://doi.org/10.1177/0092070396242004
Fu, X., Zhang, B., Xie, Q., Xiao, L., & Che, Y. (2011). Impact of Quantity and Timeliness of EWOM Information on Consumer’s Online Purchase intention under C2C Environment. Asian Journal of Business Research, 1(2). https://doi.org/10.14707/ajbr.110010
Gunawan, D. D., & Huarng, K.-H. (2015). Viral effects of social network and media on consumers’ purchase intention. Journal of Business Research, 68(11), 2237–2241. https://doi.org/10.1016/j.jbusres.2015.06.004
Gupta, Y., Pushpendra, B., & Singh, M. J. P. (2020). TO STUDY THE IMPACT OF INSTAFAMOUS CELEBRITIES ON CONSUMER BUYING BEHAVIOR. In Article in Academy of Marketing Studies Journal. https://www.researchgate.net/publication/339795380
Ho, V. T., Phan, N. T., & Le-Hoang, P. V. (2021). Impact of electronic word of mouth to the purchase intention - the case of Instagram. Independent Journal of Management & Production, 12(4), 1019–1033. https://doi.org/10.14807/ijmp.v12i4.1336
Indrawati, Putri Yones, P. C., & Muthaiyah, S. (2023). eWOM via the TikTok application and its influence on the purchase intention of somethinc products. Asia Pacific Management Review, 28(2), 174–184. https://doi.org/10.1016/j.apmrv.2022.07.007
Indrawati, Yones, P. C. P., & Muthaiyah, S. (2022). eWOM via the TikTok application and its influence on the purchase intention of somethinc products. Asia Pacific Management Review. https://doi.org/10.1016/j.apmrv.2022.07.007
Ismagilova, E., Dwivedi, Y. K., Slade, E., & Williams, M. D. (2017). Electronic Word of Mouth (eWOM) in the Marketing Context. Springer International Publishing. https://doi.org/10.1007/978-3-319-52459-7
Leong, C. M., Loi, A. M. W., & Woon, S. (2022). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics, 10(2), 145–157. https://doi.org/10.1057/s41270-021-00132-9
Leong, C.-M., Loi, A. M.-W., & Woon, S. (2022). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics, 10(2), 145–157. https://doi.org/10.1057/s41270-021-00132-9
Levy, S., & Gvili, Y. (2015). How Credible is E-Word of Mouth Across Digital-Marketing Channels? Journal of Advertising Research, 55(1), 95–109. https://doi.org/10.2501/JAR-55-1-095-109
Memon, M. A., Ting, H., Cheah, J.-H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample Size for Survey Research: Review and Recommendations. Journal of Applied Structural Equation Modeling, 4(2), i–xx. https://doi.org/10.47263/JASEM.4(2)01
Ngarmwongnoi, C., Oliveira, J. S., AbedRabbo, M., & Mousavi, S. (2020). The implications of eWOM adoption on the customer journey. Journal of Consumer Marketing, 37(7), 749–759. https://doi.org/10.1108/JCM-10-2019-3450
Park, M.-S., Shin, J.-K., & Ju, Y. (2019). Attachment styles and electronic word of mouth (e-WOM) adoption on social networking sites. Journal of Business Research, 99, 398–404. https://doi.org/10.1016/j.jbusres.2017.09.020
Prasad, S., Gupta, I. C., & Totala, N. K. (2017). Social media usage, electronic word of mouth and purchase-decision involvement. Asia-Pacific Journal of Business Administration, 9(2), 134–145. https://doi.org/10.1108/APJBA-06-2016-0063
Sardar, A., Manzoor, A., Shaikh, K. A., & Ali, L. (2021). An Empirical Examination of the Impact of eWom Information on Young Consumers’ Online Purchase intention: Mediating Role of eWom Information adoption. SAGE Open, 11(4), 215824402110525. https://doi.org/10.1177/21582440211052547
Shen, X., Zhang, K. Z. K., & Zhao, S. J. (2016). Herd behavior in consumers’ adoption of online reviews. Journal of the Association for Information Science and Technology, 67(11), 2754–2765. https://doi.org/10.1002/asi.23602
Statista. (2023, November). Social Media Advertising WorldWide . Https://Www.Statista.Com/Outlook/Dmo/Digital-Advertising/Social-Media-Advertising/Worldwide. https://www.statista.com/outlook/dmo/digital-advertising/social-media-advertising/worldwide#ad-spending
Sussman, S. W., & Siegal, W. S. (2003a). Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption. Information Systems Research, 14(1), 47–65. https://doi.org/10.1287/isre.14.1.47.14767
Sussman, S. W., & Siegal, W. S. (2003b). Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption. Information Systems Research, 14(1), 47–65. https://doi.org/10.1287/isre.14.1.47.14767
Tseng, S., & Fogg, B. J. (1999). Credibility and computing technology. Communications of the ACM, 42(5), 39–44. https://doi.org/10.1145/301353.301402
Wei, L. H., Huat, O. C., & Thurasamy, R. (2023). The impact of social media communication on consumer-based brand equity and purchasing intent in a pandemic. International Marketing Review, 40(5), 1213–1244. https://doi.org/10.1108/IMR-12-2021-0353
Wolny, J., & Mueller, C. (2013). Analysis of fashion consumers’ motives to engage in electronic word-of-mouth communication through social media platforms. Journal of Marketing Management, 29(5–6), 562–583. https://doi.org/10.1080/0267257X.2013.778324
Yeap, J. A. L., Ignatius, J., & Ramayah, T. (2014). Determining consumers’ most preferred eWOM platform for movie reviews: A fuzzy analytic hierarchy process approach. Computers in Human Behavior, 31, 250–258. https://doi.org/10.1016/j.chb.2013.10.034

Abstract viewed - 76 times
pdf downloaded - 39 times

Affiliations

Devi Angrahini Anni Lembana
Universitas Katolik Indonesia Atma jaya

Chan Alva Novendo
Universitas Katolik Indonesia Atma jaya

Content Top

ELEKTRONIK WORD OF MOUTH UNTUK MENINGKATKAN MINAT BELI DI APLIKASI TIK TOK

Devi Angrahini Anni Lembana ,
Chan Alva Novendo

Proceedings Economic, Social Science, Computer, Agriculture and Fisheries (ESCAF) 3rd 2024

Submitted: Feb 19, 2024

Abstract

Meningkatnya penggunaan sosial media di kalangan masyarakat telah banyak dimanfaatkan oleh dunia bisnis melalui strategi pemasaran yang dilakukan untuk meningkatkan minat beli terhadap suatu produk atau jasa. Penelitian dilakukan untuk menggali faktor elektronik word of mouth (E-WOM) yang terdiri dari information credibility, information quality, information quantity, dan need of information apakah dapat mempengaruhi keinginan konsumen dalam melakukan pembelian melalui information adoption. Pengumpulan data dilakukan menggunakan teknik purposive sampling dari follower akun TikTok produk Heavenly Blush. Jumlah sampel dihitung dengan menggunakan rumus dari Memon et al. (2020) dengan jumlah indikator penelitian sebanyak 27. Jumlah sampel yang terkumpul sejumlah 190 sampel, akan tetapi yang dapat diolah hanya sebanyak 154 sampel. Teknik Partial least square-structural equation modelling dengan menggunakan software SMART PLS digunakan untuk menganalisa data. Hasil penelitian menunjukkan information credibility, information quality dan information quantity berpengaruh terhadap information adoption, akan tetapi need of information tidak. Selain itu information adoption berpengaruh terhadap purchase intention, serta information adoption memediasi pengaruh information credibility, information quality and information quantity. Penelitian mampu membuktikan pentingnya information adoption untuk meningkatkan minat beli. Untuk memastikan bahwa pengguna TikTok mau mengadopsi suatu informasi bukan karena kebutuhan akan informasi tersebut, akan tetapi pada tingkat kredibilitas, kualitas dan jumlah informasi yang dapat diakses oleh para pengguna TikTok yang lain.