Literature Review On Mobile Shopping

Customers’ attitude towards digital applications: Customer of John’s bakery usually uses the John’s Bakery website, phone call and Facebook page to do the pre-order so the customers can pick up on the date with the fresh product. (From customer survey result analysis

Clearly, it is becoming a bigger part of e-commerce as a whole, resulting in marketing to flip on its head. The ever-growing number of consumers that shifted to mobile requires marketers to develop new strategies to attract and engage potential consumers who are on the go, or who prefer to use mobile devices for all types of online transactions.

The external analysis reveals that Target Corporation must address the threat of a growing online and mobile commerce (e/m-commerce) market. Shoppers’ behavior and the accompanying technology are evolving. Sociocultural and

This approach as proposed by Benbasat and Barki [28] for the technology acceptance model is believed to be able to help generate actionable information on how to “create” the antecedents to the desired success of information technology artifacts. Some applicable theories that can be reverse-engineered are:

Online shopping is a new dimension of trade that emerged as a result of the overbearing usefulness of the internet as an information dissemination platform. Its remarkable growth has attracted numerous comments of researchers. This is evidenced by the number of publications on this theme in the recent time. Nevertheless, while the behaviour of online shoppers has dominated in the literature, little attention has been paid to their level of satisfaction and general experience in shopping online. Online shopping is actually an offshoot of e-commerce whereby consumers directly buy goods or services from a seller in real-time, without an intermediary service, over the internet. Online shopping from the shoppers perspective has been defined as the process consumers go through to purchase products or services over the internet (Monsuwe, Dellaert

However, unlike other research that attempt to predict the adoption or success of technologies based on predefined constructs (antecedents), we argue that the most useful studies on USHI will be those that attempt to “reverse-engineer” its success, going even beyond standard antecedents with a view to identifying key components that inform those antecedents which in turn result in the success of the technology. This approach as proposed by Benbasat and Barki [26] for the technology acceptance model is believed to be able to help generate actionable information on how to “create” the antecedents to the desired success of information technology artifacts. Some applicable theories that can be reverse-engineered

However, unlike other research that attempt to predict the adoption or success of technologies based on predefined constructs (antecedents), we argue that the most useful studies on USHI will be those that attempt to “reverse-engineer” its success, going even beyond standard antecedents with a view to identifying key components that inform those antecedents which in turn result in the success of the technology. This approach as proposed by Benbasat and Barki [26] for the technology acceptance model is believed to be able to help generate actionable information on how to “create” the antecedents to the desired success of information technology artifacts. Some applicable theories that can be reverse-engineered

Enhanced shopping applications for mobile devices continue to constitute a large focus of Macy’s organizational strategy. According to Business Wire (2014), enhanced navigation allows customers to easily and quickly move between features, reach desired product with fewer clicks, check-out more quickly, as well as the enhanced ability to manage gift registries (par. 8). At the same time, Macy’s should continue to provide adequate Internet access throughout its stores to allow customers use their mobile applications for shopping. Heller (2012) reports that Macy’s will offer free WiFi throughout its stores which would allow shoppers to easily view and post reviews in real time, which is something that has shown to spur others ' purchases (par. 5).

Technology is constantly changing and it influences the shopping habits of the consumers. Roberts (2004) argues that online shopping opportunities have increased

Online shopping and in- store shopping are different in various ways. Online shopping has become an increasingly common staple of life in the 21st century. It is popularity can be credited to the fact that convenience highly valued in our world today. Online shopping is most convenient for individuals that don’t have time to go to the store. If you’re busy with an online job or online classes then online shopping can sometimes be more convenient. It’s also convenient since you don’t have to drive, catch the bus, wait in a long line, or deal with not being able to find item. All you have to do is type in the item you are looking for and it’s there. Once you find the item, you can order it anytime because online stores never close.

Many previous academic studies (Wang et al., 2003; Agarwal et al., 2000; Venkatesh, 2000) have well documented the extent to which perceived self-efficacy is vital in Information System (IS). Perceived self-efficacy presents itself as being a major risk-factor in predicting sustainability of a new technology (Ellen et al., 1991). In the context of M-banking, perceived self-efficacy is defined as the “judgement of one’s ability to use mobile banking” (Venkatesh, 2000). Agarwal et al., (2000) state that there is empirical evidence to support the casual relationship between perceived self-efficacy and behavioural intention. However, among mobile banking adoption researches, Brown et al. [2003] supported self-efficacy was

The idea behind this study is of great significance because e-commerce (online shopping) has grown tremendously since the turn of the century. It has shaped the way people do shopping for the most part.

M-commerce is on a development track. It is increasing expanding acknowledgment amongst various areas of the general public. This development can be followed back to innovative and demographical advancements that have affected vital parts of the socio-social conduct in today's reality. The requirement for versatility is by all accounts an essential main impetus behind M-Commerce applications, for example, Mobile Banking, Mobile Entertainment and Mobile

Some businesses like Amazon and EBay have felt the huge impact of m-commerce. Though for most retail companies, sales via mobile devices is still a small fraction of total sales. When looking at the world as a whole, the potential for m-commerce is astounding. A lot of retailers are seeing increased sales via mobile devices with a larger percentage of those sales coming from tablets and less from Smartphones. M-commerce currently accounts for over 11% of all e-commerce sales and theses figure are still rising.

This current study aims to provide a more holistic view of the factors that influence online shopping behavior in the clothing industry, by comparing the important criteria for purchase decisions between online shoppers and traditional shoppers. The factors that were examined include (1) Product variables: price, usefulness, quality and available information; (2) Seller attributes: trustworthiness, reputation and marketing strategies; (3) shopping experience: convenience, quality of service, design and ease of use; and (4) consumer factors: gender, socioeconomic status and attitude towards online shopping. A quantitative survey was conducted wherein 206 consumers have completed the questionnaire through convenience sampling. The results of the study showed that male online shoppers for clothes are significantly more than females, most of whom still prefer traditional shopping. Traditional and online shoppers have been seen to differ in the importance they give to product price, seller credibility and marketing strategies, and purchase experience in terms of convenience, quality of service and ease of transaction, wherein online shoppers put more value on these factors in making their purchase decisions. In accordance to the technology acceptance model, the participants who have more positive attitudes towards online shopping are more likely to actually purchase their clothes