scholarly journals A Study of Purchase Decision and Its Affecting Factors for Mobile Shopping Among Smartphone Users

2016 ◽  
Author(s):  
Ai-Min ZHANG ◽  
Wen-Yue LIU
Keyword(s):  
Purchase Decision ◽  
Affecting Factors ◽  
Mobile Shopping

scholarly journals ANALYSIS OF AFFECTING FACTORS ON PURCHASE DECISION OF SPORT SHOES "FAKE PRODUCT" OF GOLD'S GYM CONSUMERS IN WEST JAKARTA

2021 ◽  
Vol 2 (4) ◽  
pp. 537-550
Author(s):  
Christina Catur Widayati ◽  
Sarton Sinambela ◽  
Magito Magito ◽  
Khilyatin Ikhsani
Keyword(s):  
Data Analysis ◽  
Structural Equation ◽  
Country Of Origin ◽  
Equation Model ◽  
Partial Least Square ◽  
Least Square ◽  
Purchase Decision ◽  
Affecting Factors ◽  
Relationship Of ◽  
The City

The purpose of this study is to find out the factors which affect on purchase decision of fake (non-genuine) Nike sports shoes. Data analysis generally confirms the structural relationship of all variables, namely price and country of origin on brand image and its impact on purchase decision for fake (non-genuine) Nike shoes. This research was conducted on Gold's Gym consumers in the city area of ​​West Jakarta with a sample size of 130 respondents. The data analysis method used in this study is the Component or Variance Based Structural Equation Model where the data processing used Partial Least Square (Smart-PLS) version 3.2.9. The results show that all hypotheses can be accepted, except for the third hypothesis, which indicates that the country of origin does not effect on purchase decision.

Intelligent Store Agent for Mobile Shopping

2013 ◽  
pp. 322-335
Author(s):  
Ryan Anthony Brown ◽  
Suresh Sankaranarayanan
Keyword(s):  
Mobile Device ◽  
Intelligent Agent ◽  
User Preferences ◽  
Purchase Decision ◽  
Human Being ◽  
User Agent ◽  
Agent Based ◽  
Two Agents ◽  
Mobile Shopping ◽  
Performance Results

The conventional shopping process involves a human being visiting a designated store and perusing first the items available. A purchase decision is then made based on the information so gathered. However, a number of unique challenges a human shopper would face, if he/she prefers to execute this process using a mobile device, such as a phone. Taking this aspect into consideration, the authors propose the use of an Intelligent Agent for performing the Mobile Shopping on behalf of customers. In this situation, the agents gather information about the products through the use of ‘Store Coordinator Agents’ and then use them for comparing with the user preferences. The proposed agent based system is composed of two agents, viz., a User Agent and Store Coordinator Agent. The implementation of the scheme so proposed has been done using JADE-LEAP development kit and the performance results are discussed in the paper.

scholarly journals THE AFFECTING FACTORS ON ONLINE CLOTHING PURCHASE: A CONCEPTUAL MODEL

2021 ◽  
Vol 3 (8) ◽  
pp. 86-97
Author(s):  
Annisa Purwaningtyas ◽  
Raden Aswin Rahadi
Keyword(s):  
Quantitative Research ◽  
Product Variety ◽  
Ease Of Use ◽  
Purchase Decision ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Online Purchases ◽  
Literature Reviews ◽  
Online Stores ◽  
Design Style

The aim of this study is to discuss the factors affecting people’s clothing purchases through online channels. There are various online clothing channels in Indonesia, appearing in form of e-commerce platforms, online stores, even social media has become a place for people to trade goods. For this research, a synthesize of 36 papers was made from past literature reviews. The analysis and discussion result shows the factors affecting people’s online clothing purchase decision are price, promotion, product design/style, product quality, brand image, information availability, seller trustworthiness, product variety, ease of use, and service quality. These factors influence the purchase decision of the customers when they shop for clothing through online channels. The limitation of this research is only covering clothing online purchases. The result and findings from this study will be useful for clothing brand owners or managers, e-commerce platforms in Jakarta, Indonesia. In the future, a quantitative research method can be conducted to further explore this study and improve the findings of this study.

Intelligent Store Agent for Mobile Shopping

2011 ◽  
Vol 3 (1) ◽  
pp. 57-72 ◽  
Author(s):  
Ryan Anthony Brown ◽  
Suresh Sankaranarayanan
Keyword(s):  
Mobile Device ◽  
Intelligent Agent ◽  
User Preferences ◽  
Purchase Decision ◽  
Human Being ◽  
User Agent ◽  
Agent Based ◽  
Two Agents ◽  
Mobile Shopping ◽  
Performance Results

The conventional shopping process involves a human being visiting a designated store and perusing first the items available. A purchase decision is then made based on the information so gathered. However, a number of unique challenges a human shopper would face, if he/she prefers to execute this process using a mobile device, such as a phone. Taking this aspect into consideration, the authors propose the use of an Intelligent Agent for performing the Mobile Shopping on behalf of customers. In this situation, the agents gather information about the products through the use of ‘Store Coordinator Agents’ and then use them for comparing with the user preferences. The proposed agent based system is composed of two agents, viz., a User Agent and Store Coordinator Agent. The implementation of the scheme so proposed has been done using JADE-LEAP development kit and the performance results are discussed in the paper.

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