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Mobile e-Commerce: A key player in influencing the behavior of the customer

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kumarkalyan
Mobile e-Commerce: A key player in influencing the behavior of the customer

Online shopping is an easy solution to the busy life in today’s world. Over the past decade, there has been a huge shift in customer shopping practices. Consumers or buyers consider online shopping to be very convenient, despite the consumer continuity to buy from the physical store. Online shopping saves crucial time for modern people because they are too busy or they do not like to spend much time shopping.

Mobile technology is creating tremendous opportunities and new revenue streams for businesses in industry sectors by distributing chargeable mobile products and services through the expansion of innovative value-added solutions that plunder the commercial benefits of dynamism. In order to keep up with the pace of change, companies want to understand the behavioral attitude of the modern mobile user. The aim of this paper is to find out the reaction of consumers towards various parameters that affect their intention to use their mobile devices to purchase products and services online focusing on the current Greek reality. Current literature focuses on understanding factors that influence the behavioral intent of consumers who adopt M-shopping; These studies are largely based on theories of behavioral intent, the Technology Acceptance Model, the Diffusion of Innovation, and the Unified Theory of Acceptance and Use of Technology.

Mobile technology, these days, has penetrated almost every aspect of our daily lives and has become an alternative to m-commerce for searching, comparing, and purchasing products and services online anywhere, anytime. This trend will also lead to research on the adoption and further use of m-commerce for academia and industry. Mobile users are people who need to collect certain services for personal gain or who want to communicate wirelessly with service providers.

Mobile E-commerce: The evolution of shopping

The size of M-Commerce is growing at 39 percent each year and is projected to reach the US $ 31 billion by 2016. New areas of mobile integration such as increased mobile phone usage and m-payments during daily operations are connected — the consumer is right here.

Mobile devices have reached a critical mass, with the majority of consumers, 80% of global consumers in developed and high-growth economies, now owning a mobile phone. With a relatively new app, m-payment usage is gaining traction worldwide.

In developed markets, most Europeans use m-payments for transportation, while Central and Southern Europe mostly use them for food/lifestyle. One-third of the e-commerce business worldwide is transacted via mobile devices, and the number of smartphones and/or tablet users making purchases on their mobile devices will increase significantly in the coming years.

While in stores, mobile shoppers scan product barcodes and read more reviews than computer-based shoppers and therefore “require different sales, marketing, and service strategies”.

The theoretical background of Behavioral Intention

A literary review on information systems, innovative technology, e-commerce, and e-shopping highlights many theories or conceptual models that are commonly used or expanded with other variables to research different contexts of technology and especially consumer adoption. m- Services, as well as consumer response to factors affecting the intent to use their mobile devices to purchase products and services.

When mobile users want an in-depth explanation of the adoption intent, TAM allows other elements to be easily incorporated into its basic design. Therefore, in the present study, we will place the basic variables of TAM-perceived ease, perceived use, and behavioral intent — and through literary research, we will associate new variables — mobile skill, pleasure, anxiety, trust, innovation, and relationship drivers — that influence mobile shopping intent. Is expected. All of these structures in this paper are defined in a rigid mobile context.

 

 

Numerous studies have researched skills as an important factor in influencing consumer behavior towards a particular technology. Therefore, it is strongly recommended that expertise in the field of mobile commerce also be considered as a driving factor. In this study, the skill assesses his / her ability to make purchases online through a mobile device. It is assumed that the greater the user's ability to believe, the more likely they are to receive and use mobile devices to shop online.

Conclusion

Online shopping is further driven by ICT infrastructure development, online payment systems, and internet access rate. Previous studies have shown that, unlike brick and mortar shopping behavior, online shopping behavior is influenced by net connectivity, website aesthetics (Constantinides, 2004), security, customer experience, age and learning curve, and so on. Studying these unique features of online shopping and consumer behavior can benefit tech-entrepreneurs and policymakers in shaping their strategies for the market.

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