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Journal : Proceeding International Conference on Information Technology and Business

Tourist Decisions Visit Attractions In Lampung Province Through Electronic Word Of Mouth (E-WOM) Novita Sari; Muhammad Saputra
Prosiding International conference on Information Technology and Business (ICITB) 2018: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 4
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Tourism is a potential source of income. The phenomenon of the increase and decrease of visiting tourists is needed an information media to introduce the tourist attraction of Lampung Province to increase the number of tourists visiting Lampung Province. The purpose of this study was to determine the effect of Electronic Word of Mouth (E-WOM) with the Intensity dimension, Valence of Opinin, Conten on Tourist Decisions Visiting Attractions in Lampung Province. This type of research is this associative study. The sampling used in this study was purposive sampling with as many samples. Methods Analysis of data in this study using path analysis. The results of the analysis There is the influence of Intensity on the decision to visit tourists to Lampung Province. There is no effect of Valence of Opinin on decisions visiting tourists to Lampung Province. There is a Content influence on the decision to visit tourists to Lampung Province. Content variable (X3) affects the most on visiting decisions by 73.2%Keywords: Electronic Word Of Mouth (E-WOM), Visiting Decision, Tourism Object, Lampung
Consumer Purchase Decisions on Food and Beverage Delivery Services on the GoFood Application Muhammad Saputra; Cahyani Pratisti; Novita Sari; Niken Paramitasari
Prosiding International conference on Information Technology and Business (ICITB) 2022: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND BUSINESS (ICITB) 8
Publisher : Proceeding International Conference on Information Technology and Business

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Abstract

Abstract—This study aims to determine the effect of price discounts and online customer ratings on consumer decisions to use GoFood aplication for food and beverage delivery services. This type of research was associative qualitative research. The sampling method used non-probability sampling with a purposive sampling technique and 140 respondents obtained. The data analysis method used Partial Least Square (PLS). The results indicated that both partial or simultan the price discount and online customer ratings affect the consumer purchasing decisions on food and beverage delivery services on the GoFood application.Keywords— Price discount, Online customer ratings, Purchase decision