scholarly journals The Differential Factors Influencing Online & Mobile Shopping Behavior

2017 ◽  
Vol 15 (9) ◽  
pp. 27-36 ◽  
Author(s):  
Lee Heejung
Keyword(s):  
Shopping Behavior ◽  
Factors Influencing ◽  
Mobile Shopping

Factors Influencing Online Shopping Behavior of Urban Consumers in India

2015 ◽  
Vol 5 (1) ◽  
pp. 38-50 ◽  
Author(s):  
Rajyalakshmi Nittala
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Factors Influencing ◽  
Internet Users ◽  
Online Retailers ◽  
Product Risk ◽  
Electronic Marketing ◽  
Online Shopping Behavior

This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.

Factors Influencing Online Shopping Behavior of Urban Consumers in India

2019 ◽  
pp. 1171-1185
Author(s):  
Rajyalakshmi Nittala
Keyword(s):  
Perceived Risk ◽  
Financial Risk ◽  
Online Shopping ◽  
Shopping Behavior ◽  
Factors Influencing ◽  
Internet Users ◽  
Online Retailers ◽  
Product Risk ◽  
Electronic Marketing ◽  
Online Shopping Behavior

This study examines the factors influencing online shopping behavior of urban consumers in the State of Andhra Pradesh, India and provides a better understanding of the potential of electronic marketing for both researchers and online retailers. Data from a sample of 1500 Internet users (distributed evenly among six selected major cities) was collected by a structured questionnaire covering demographic profile and the factors influencing online shopping. Factor analysis and multiple regression analysis are used to establish relationship between the factors influencing online shopping and online shopping behavior. The study identified that perceived risk and price positively influenced online shopping behavior. Results also indicated that positive attitude, product risk and financial risk affect negatively the online shopping behavior.

scholarly journals Mobiles reinventing shopping: A critical review

2018 ◽  
Vol 7 (3.3) ◽  
pp. 51
Author(s):  
Rhytheema Dulloo
Keyword(s):  
Critical Review ◽  
Shopping Behavior ◽  
Review Author ◽  
Clear Understanding ◽  
Theoretical Literature ◽  
Marketing Tactic ◽  
Mobile Shopping

The purpose of this paper is to provide clear understanding of the increasing use of mobiles for shopping to e-tailers by classifying and organizing an exhaustive review of prior theoretical literature. To conduct the review author draws a sample of 250 articles published from addressing mobile shopping behavior of customers. This paper provides foremost organized review of mobile shopping literature thus providing opportunities for brands to build a focused marketing tactic to enhance mobile shopper engagement, leading to increased sales.  

Mobile Commerce Adoption in Spain

2009 ◽  
pp. 282-292
Author(s):  
Joaquin Aldas-Manzano ◽  
Carla Ruiz-Mafe ◽  
Silvia Sanz-Blas
Keyword(s):  
Empirical Study ◽  
Mobile Commerce ◽  
Adoption Decision ◽  
Factors Influencing ◽  
Mobile Shopping ◽  
Depth Study ◽  
Key Drivers ◽  
Mobile Commerce Adoption ◽  
Insight Into ◽  
Mobile Use

The chapter aims to present an in-depth study of the factors influencing mobile commerce adoption. The authors analyze the influence of Mobile use experience, ICT ownership, Mobile affinity and Mobile Commerce compatibility in the m-commerce adoption decision. After identifying the key drivers of Mobile shopping adoption, the second part of the chapter presents an empirical study of the Spanish market. Results based on a sample of 470 Mobile users show that Mobile affinity, ICT ownership, and m-shopping compatibility are positive key drivers of M-shopping adoption. Mobile use experience has no significant influence on m-shopping adoption. This chapter will give managers and students insight into the Mobile Commerce industry and the different factors that influence m-commerce adoption. In addition, these factors can be applied to the specific context of the Spanish market.

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