Pengaruh Ongkos Kirim dan Harga terhadap Perilaku Konsumen dalam Melakukan Pembelian Ulang pada Marketplace Shopee
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Abstract
This study aims to determine the effect of price and service quality on consumer behaviour in determining repurchase intentions on the Shopee marketplace through the variable shipping cost as an intervening factor. The data taken is customer data or Shopee visitors in Indonesia during 2020, totalling 126 million visitors, and data analysis using path analysis through the PLS 3.0 program. The research method used is a quantitative descriptive research method using data analysis. The study results concluded that the price and service quality variables influence consumer behaviour variables to determine repurchase intentions in the marketplace on the Shopee platform. Simultaneously the price and service quality variables affect the consumer behaviour variable to determine repurchase intention through the shipping cost variable as an intervening factor. The study results show that online buying and selling platforms such as Shopee always set prices according to consumer expectations. They are improving service to have a qualified quality through service improvement and determining consistent shipping costs so that customers will make repeat purchases.
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Aw, E. C. X., Kamal Basha, N., Ng, S. I., & Ho, J. A. (2021). Searching online and buying offline: Understanding the role of channel-, consumer-, and product-related factors in determining webrooming intention. Journal of Retailing and Consumer Services, 58(May 2020), 102328. https://doi.org/10.1016/j.jretconser.2020.102328
Bostoen, F. (2019). Online platforms and pricing: Adapting abuse of dominance assessments to the economic reality of free products. Computer Law and Security Review, 35(3), 263–280. https://doi.org/10.1016/j.clsr.2019.02.004
Chang, S., Dong, Y., & Wang, X. (2021). Optimal shipping policy in retail competition and its effect on customers. Electronic Commerce Research and Applications, 45(October 2020), 101020. https://doi.org/10.1016/j.elerap.2020.101020
Dailey, L. C., & Ülkü, M. A. (2018). Retailers beware: On denied product returns and consumer behavior. Journal of Business Research, 86(July 2017), 202–209. https://doi.org/10.1016/j.jbusres.2018.01.064
Fan, J. L., Wang, Q., Yang, L., Zhang, H., & Zhang, X. (2020). Determinant changes of consumer preference for NEVs in China: A comparison between 2012 and 2017. International Journal of Hydrogen Energy, 45(43), 23557–23575. https://doi.org/10.1016/j.ijhydene.2020.06.002
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Hurgobin, Y., Le Floch, V., & Lemercier, C. (2020). Effect of multiple extrinsic cues on consumers’ willingness to buy apples: A scenario-based study. Food Quality and Preference, 81, 103860. https://doi.org/10.1016/j.foodqual.2019.103860
Li, C., Chu, M., Zhou, C., & Xie, W. (2019). Is it always advantageous to add-on item recommendation service with a contingent free shipping policy in platform retailing? Electronic Commerce Research and Applications, 37(March), 100883. https://doi.org/10.1016/j.elerap.2019.100883
Mandhani, J., Nayak, J. K., & Parida, M. (2020). Interrelationships among service quality factors of Metro Rail Transit System: An integrated Bayesian networks and PLS-SEM approach. Transportation Research Part A: Policy and Practice, 140(March), 320–336. https://doi.org/10.1016/j.tra.2020.08.014
Nagy, G., Megehee, C. M., & Woodside, A. G. (2018). Computing with words in modeling firms’ paradoxical performances. Advances in Business Marketing and Purchasing, 25, 155–236. https://doi.org/10.1108/S1069-096420180000025008
Pautler, P. A. (2018). A History of the FTC’s Bureau of Economics. 143–343. https://doi.org/10.1108/s0193-589520180000028005
Santana, S., Thomas, M., & Morwitz, V. G. (2020). The Role of Numbers in the Customer Journey. Journal of Retailing, 96(1), 138–154. https://doi.org/10.1016/j.jretai.2019.09.005
Sembiring, N., Nimran, U., Astuti, E. S., & Utami, H. N. (2020). The effects of emotional intelligence and organizational justice on job satisfaction, caring climate, and criminal investigation officers’ performance. International Journal of Organizational Analysis, 28(5), 1113–1130. https://doi.org/10.1108/IJOA-10-2019-1908
Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
Uzir, M. U. H., Al Halbusi, H., Thurasamy, R., Thiam Hock, R. L., Aljaberi, M. A., Hasan, N., & Hamid, M. (2021). The effects of service quality, perceived value and trust in home delivery service personnel on customer satisfaction: Evidence from a developing country. Journal of Retailing and Consumer Services, 63(April), 102721. https://doi.org/10.1016/j.jretconser.2021.102721
Walkowiak, A., Ledziński, Ł., Zapadka, M., & Kupcewicz, B. (2019). Corrigendum to “Detection of adulterants in dietary supplements with Ginkgo biloba extract by attenuated total reflectance Fourier transform infrared spectroscopy and multivariate methods PLS-DA and PCA” [Spectrochim. Acta A Mol. Biomol. Spectrosc. 208 (2019) 222–228](S1386142518309326)(10.1016/j.saa.2018.10.008). Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 210, 289. https://doi.org/10.1016/j.saa.2018.11.036
Wang, L., & Bae, S. M. (2020). How to avoid the free shipping pitfall? Changing consumer attitudes from the perspective of information interaction. Electronic Commerce Research and Applications, 42, 100996. https://doi.org/10.1016/j.elerap.2020.100996
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