Growth, Adoption, and Use of Mobile E-Commerce

Einav, Liran; Levin, Jonathan; Popov, Igor; Sundaresan, Neel

doi:10.1257/aer.104.5.489

Cited by 99 publications

(54 citation statements)

References 3 publications

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“…This scenario is a clear indication of the consumer intention to use internet services, thus much faster 3G internet access, introduced in late 2013, is expected to take over 2G internet usage by 2020 (Lucini & Hatt, 2014). Developed online markets are observing a surge in E-commerce and M-commerce facilitated by faster internet access and availability of smartphone (Einav, Levin, Popov, & Sundaresan, 2014). Despite a late start, the rapidly developing online market in Bangladesh is poised to catch-up with developed online markets in the coming years.…”

Section: Introductionmentioning

confidence: 99%

Consumer Expectation from Online Retailers in Developing E-commerce Market: An Investigation of Generation Y in Bangladesh

Rahman¹

2015

IBR

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This paper aims to investigate the expectation from online retailers in the context of Generation Y, as the target market group in Bangladesh. It also examines the similarities and dissimilarities between the global online retail market trend and the target group. Volunteer final year university students conducted face to face survey using structured questionnaires. Primary data was collected using paper-and-pencil method where interviewee completed the form in most of the cases. This research found differences between the expectations of consumers from online retailers and the online market trend in developed countries. Existing issues and directions for future online businesses have been discussed. Most of the males want to purchase 'Clothing and footwear' online, whereas 'Jewelleries and Watches' is the most desired online product category by females. Two third of Gen Y in Bangladesh is already shopping online with high interest in F-commerce. Online shopping abandon rate is high due to service quality issue. Lowering internet cost is driving the e-commerce growth. 450 Gen Y respondents living in the capital have been surveyed, where internet service is optimum. Larger population from different age groups with different backgrounds, living in different cities can be examined in future. Need for reliable delivery service to support e-commerce growth, cash on delivery options, addition of Skype and Viber in customer service and success stories of Facebook stores have been revealed for the consideration of the existing and future market entrants. The findings should work as a guide for the international investors and MNCs. This study is the first of its kind in the context of Bangladesh and sets a benchmark. This research opens the door for continuous evaluation of the market and to venture new business and services as per consumer expectations.

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Section: Introductionmentioning

confidence: 99%

Consumer Expectation from Online Retailers in Developing E-commerce Market: An Investigation of Generation Y in Bangladesh

Rahman¹

2015

IBR

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“…The size of recommendation set K ranged from 5 to 15, that is, K ∈ {5, 6,7,8,9,10,11,12,13,14 where S is the collection of records in test set and AP (s) @K can be computed by:…”

Section: (2) Evaluation Metricsmentioning

confidence: 99%

“…Usually, the clickstream data provide information about the sequence of pages or the path viewed by the consumers as they navigate websites [18]. With the prevalence of smart mobile devices [6], the consumers' clickstream data have been enriched with various contextual information [25], such as geographical information, which poses significant new opportunities as well as challenges [13]. Some data mining techniques have been employed to extract consumers' context-aware preferences [12,20].…”

Section: Introductionmentioning

confidence: 99%

Flexible Query Answering Systems 2015

Andreasen

Christiansen²,

Kacprzyk

et al. 2016

Advances in Intelligent Systems and Computing

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Search activity is an essential part for gathering useful information and supporting decision making. With the exponential growth of mobile e-commerce, consumers often search for products and services that are closely relevant to the current context such as location and time. This paper studies the search behaviors of mobile consumers, which reflect their customized purchase intentions. In light of machine learning, a probabilistic generative model is proposed to discover underlying search patterns, i.e., when to search,where to search and in what category. Furthermore, the predicting power of the proposed model is validated on the dataset released by Alibaba, the biggest e-commerce platform in the world. Experimental results show the advantages of the proposed model over the classical content-based methods, and also illustrate the effectiveness of integrating contextual factors into modeling consumers search patterns.

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“…55% of smartphone users think that the combination of the Internet and the smartphone has changed the way their shop at stores. Studies on the use of smartphones in the shopping process were published by the following academics and their collectives: Wang et al [33], Einav et al [9], Olivier X. and Treblanche N.S. [18], Thakur R. [31], Groß M. [10].…”

mentioning

confidence: 99%