Analysis of Consumer Behavior in the Use of Online Shop with the Fuzzy Logic Tahani Method in Manado City Indonesia (original) (raw)
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Journal of Computer Science, 2009
Problem statement: Nowadays, the Internet is increasingly becoming the fastest growing shopping channel in these days. Moreover, it has been predicted that the city of Isfahan in Iran will experience a sharp increase in the Internet and the Web usage in the next decade. However, the factors affect the shopping of different products via the Internet have received a little direct research attention so far. Thus, there is an inherent need to investigate the nature and perceptions of consumers and the suitability of different types of products and services and also the role of each factor which impacts consumers' behavior in choosing between buying from the Internet or traditional stores. Our case study is Isfahan Iran. Approach: The present study aimed to consider the influencing factors on consumer eshopping behavior for different types of products. The data were obtained from 412 volunteers who had the Internet shopping experience and were analyzed using MLP neural networks and logistic regression for each types of product. Then, after comparing the accuracy of these methods, the most important factors which motivate the consumers to buy online were determined by the trained neural network. Results: Compared to the logistic regression, the neural network method showed a better performance in predicting the factors which affect on consumer online shopping behavior with the accuracy of at around 93% for all types of products included in this study. Conclusion: The results showed that companies should invest on different factors for different types of products to motivate consumers to shop online from them. Again, for each sort of products some factors are more important than the others. This study also suggested the merits of ANNs as non-linear predictors in commercial studies which can be used in reverse engineering as well.
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For people who don't have much free time to shop, they can use e-commerce. because with e-commerce we can do it online, where shopping activities can be done without having to come directly to the store. The purpose of this study is to determine consumer preferences in choosing E-Commerce in Indonesia. The research method used is a quantitative method and data collection by questionnaire. The number of samples in this study was 451 people using the non-probability sampling method. The questionnaire items were 18 statements and the measuring instrument used was a Likert scale. The analysis technique in this study is conjoint analysis. The results of this study indicate that the highest utility value is at the transfer rate is 0.170, the attribute that has the highest importance value is the speed of the delivery attribute is 20,253, and consumers such as E-Commerce use the transfer payment method, shipping costs based on total weight product, 2-4 days delivery speed, has a produc...
Analisis Pembelian Tidak Terencana pada Toko Online Shopee
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The development of information and communication technology in the era of globalization is growing rapidly. This has a significant impact on internet usage in Indonesia. So that makes Indonesia a very potential market for e-commerce, which has triggered the emergence of various online stores in Indonesia. Achieving success in ecommerce business in online stores in Indonesia requires a strategy. Shopee is an ecommerce company that runs the C2C mobile marketplace business, which allows users to buy or sell goods through applications available on the iOS and Android platforms. This research is a quantitative research that aims to determine the effect of functional comfort and representative excitement on Impulse Buying. Data collection uses a questionnaire with a Likert scale with PLS (Partial Least Square) method with Smart PLS 3.2.7 software. The sample used in the study was 50 people. The sampling technique uses a purposive sampling method. The results of this study indicate that functional convenience variables have a significant effect on unplanned purchases, while representative excitement variables have no significant effect on Impulse Buying.
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International Transactions in Operational Research, 2010
In this paper, we propose a methodology which helps customers buy products through the Internet. This procedure takes into account the customer's level of desire in the product attributes, which are normally fuzzy, or in linguistically defined terms. The concept of fuzzy number will be used to measure the degree of similarities of the available products to that of the customer's requirements. The degrees of similarities so obtained over all the attributes give rise to the fuzzy probabilities and hence the fuzzy expected values of availing a product on the Internet as per the customer's requirement. Attribute-wise the fuzzy expected values are compared with those of the available products on the Internet and the product that is closest to the customer's preference is selected as the best product. The multi-attribute weighted average method is used here to evaluate and hence to select the best product.
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Mathematics and Computers in Simulation, 2008
Customer satisfaction index (CSI) is an important concept for evaluating the quality of service in e-commerce. It permits to evaluate the validity of an e-commerce operation from the point of view of consumers. In this paper, we present a model of CSI in e-commerce using fuzzy techniques and provide a method for calculating CSI, expressed in a five levels quantity table.
Virtual International Conference of Interreligious and Intercultural Studies Living the New Normal: Achieving Resilience & Ensuring Sustainable Future, 2021
Indonesia has many E-Commerce companies that are in great demand by the people in Indonesia. COVID-19 has led to an increase in people's transactions using E-Commerce. E-Commerce, which has not been able to capture market share in Indonesia, is competing to increase the number of transactions. E-Commerce that already has regular customers will continue to maintain the quality and quantity of its transactions. E-Commerce customers also have their own preferences in choosing the E-Commerce company that will be used for transactions. The many criteria that are taken into account by customers sometimes confuse customers to be able to choose the most appropriate E-Commerce that best suits customer desires. Decision support systems can be used to help customers make their choices. The method used is SWARA-ARAS. There are 8 criteria and 6 alternatives used in this DSS. The methodology in this study uses the CRISP-DM Framework. Based on the 6 alternatives tested using SWARA-ARAS, Lazada (X4) became the favorite e-commerce in Indonesia with a value of 0.9193 followed by Tokopedia with a value of 0.9155 and Shoopee with a value of 0.9045. JD.ID became the last position with a value of 0.8753.
Canadian Center of Science and Education, 2019
Following the rapid development of the Internet, e-commerce websites are widely used today for various goals. An essential point in the prosperity of these websites is their level of usability. Accordingly, measuring this usability is indispensable for these websites to check whether they are moving in the right path. Thus, in this article, the usability scores of five well-known online food-ordering websites in Iran have been evaluated using a novel fuzzy Kano method with respect to design parameters. In addition to assessing usability scores, the design parameters of these websites have been classified and reviewed in a detailed manner in order to determine the design priorities of these websites as one of the main results of this study. Data were gathered using a questionnaire with 190 respondents. Results demonstrated that Snappfood is the best online food-ordering website in Iran. In addition, sorting restaurants based on customer satisfaction score, using high-quality images of foods along with the image zooming feature, and the existence of complete information about foods and restaurants are the most effective and important design parameters of these types of websites according to the findings of this study.
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The purpose of this research is to know consumer purchasing decisions on online products viewed from the dimensions of ease and trust in the online shop Blanja.com. Data analysis used in this research is descriptive and quantitative analysis, data collection is done by purposive sampling method with total sample counted 100 respondent. The data used in this research is the primary data in the form of spreading the questionnaires online and global data about the online shop company Blanja.com. The analytical tool used in this research is multiple linear regression. Based on hypothesis testing by partial can be concluded belief significantly influence to purchase decision with t-count value amount to 3,518 and ease no significant effect on purchasing decision with t-count value amount 1,592, while simultaneously ease and trust variable have significant effect to purchasing decision.
Implementation of the FUCOM-SAW Method on E-Commerce Selection DSS in Indonesia
Journal of Tech-E, 2021
Tokopedia, Shopee, Bukalapak, Lazada Indonesia, Blibli, and JD.id are the 6 major e-commerce sites in Indonesia based on the eIQ survey in 2019. The increase in economic growth is also influenced by the significant increase in e- commerce transactions. Customers have their personal opinions in choosing the e-commerce they use.Various criteria in choosing e-commerce often confuse customers in choosing e-commerce according to their needs while the fierce competition in e-commerce makes the choice difficult for customers.In providing the most suitable e-commerce options for customers, DSS can be used for that selection. In this study, the use of FUCOM-SAW is able to be used in calculating the selection of e-commerce based on the preferences of the decision maker assisted by the CRISP-DM framework in the process. 4 decision makers assign weighting criteria using FUCOM and assessments from the eIQ survey are used as alternative data and are used to generate the best preferences for e-commerce customers.The results of calculations using FUCOM-SAW show that Bukalapak is the favorite e-commerce with a value of 0.8701 while Blibli and Tokopedia are in second and third positions. The preference by the decision maker greatly affects the results of the weighting of the criteria.