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WHAT CAN CAUSE CUSTOMERS SHOP ONLINE FOR IMPORTED GOODS POST-ENACTMENT REGULATION OF FINANCE MINISTER CONCERNING CUSTOMS, EXCISE AND TAX PROVISIONS ON IMPORTED SHIPMENTS? Prasaja, Disma; Fatmasari, Fajria; Fatmawati, Inayatullah
Dinasti International Journal of Digital Business Management Vol. 3 No. 3 (2022): Dinasti International Journal of Digital Business Management (April - May 2022)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31933/dijdbm.v3i3.1114

Abstract

This study aimed to analyze the determinants of online shopping decisions for goods from abroad after the enactment of Regulation of Finace Minister number 199 year of 2019 regarding customs, excise and tax provisions on imported shipments. Foreign goods purchased for more than USD 3 will be taxed so that the existence of this provision will result in the price of goods becoming more expensive. This research will identify factors that can shape shopping decisions by Indonesian consumers. The population in this study is market place consumers who have made transactions of imported goods or purchases through the marketplace. The number of samples used as many as 30 respondents based on the number of indicators with an error rate of 5%. The survey was conducted using an online questionnaire and processed using a data processing application. Based on the results of data analysis, this study resulted in 5 new factors, namely Product Quality, Physical Factors, Shopping Value, Service Quality, Platform, and Subjective Norms. The most dominant factor among these factors is product quality.
How Do Online Reviews on YouTube Construct Perception? Fatmasari, Fajria; Febrianto, Dedi; Nugroho, Ahmad Cahyo
ADMAN: Journal of Contemporary Administration and Management Vol 1 No 3 (2023): December 2023
Publisher : PT. LITERASI SAINS NUSANTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61100/adman.v1i3.95

Abstract

Online reviews are a step to communicate various brands or products. Product reviews usually contain product features, advantages, and disadvantages, as well as other products for comparison. Electronic product reviews conducted online on YouTube channels are the object of this research. With certain criteria, five videos were obtained as review objects that will be studied in this research. The 458 dataset of audience comments on this review will be studied qualitatively using machine learning in the form of software of Nvivo, as well as internet ethnography and pragmatics. From the analysis results, it is known that each electronic product review video provides positive, negative or neutral perceptions and attitudes from the audience. Audience sentiment is formed from product features, images of reviewers, how it was reviewed, and product image. By the limitation of the research, it needs to be developed further with different methods and objects to provide more input to producers or reviewers.