In: Computer Science
1)How has the ability to visualize the vast amount of data on the internet changed the face of ecommerce in the last 5 years?
Answer:
As the world of online retail continues to grow at a fantastic
rate, the knowledge that's possible to gather and analyze also
grows along side it. We are ready to access a tremendous amount of
detailed information, to assist our online businesses make more
informed decisions regarding our customers, products we provide and
the way we will organize and execute our marketing campaigns. This
big data has become an important component to several successful
e-commerce businesses that look to the present information to
assist guide their future business moves. Here are just a couple of
of the foremost significant ways you'll make use of massive data
within your online business.
There has been an increasing emphasis on big data analytics (BDA)
in e-commerce in recent years. However, it remains poorly-explored
as an idea , which obstructs its theoretical and practical
development. This position paper explores BDA in e-commerce by
drawing on a scientific review of the literature. The paper
presents an interpretive framework that explores the definitional
aspects, distinctive characteristics, types, business value and
challenges of BDA within the e-commerce landscape. The paper also
triggers broader discussions regarding future research challenges
and opportunities in theory and practice. Overall, the findings of
the study synthesize diverse BDA concepts (e.g., definition of
massive data, types, nature, business value and relevant theories)
that provide deeper insights along the cross-cutting analytics
applications in e-commerce.
In the past few years, an explosion of interest in big data has
occurred from both academia and therefore the e-commerce industry.
This explosion is driven by the very fact that e-commerce firms
that inject big data analytics (BDA) into their value chain
experience 5–6 to the next productivity than their competitors
(McAfee and Brynjolfsson 2012). A recent study by BSA Software
Alliance within the us (USA) indicates that BDA contributes to 10 %
or more of the expansion for 56 you look after firms (Columbus
2014). Therefore, 91 you look after Fortune 1000 companies are
investing in BDA projects, an 85 to extend from the previous year
(Kiron et al. 2014a). While the utilization of emerging
internet-based technologies provides e-commerce firms with
transformative benefits (e.g., real-time customer service, dynamic
pricing, personalized offers or improved interaction) (Riggins
1999), BDA can further solidify these impacts by enabling informed
decisions supported critical insights (Jao 2013). Specifically,
within the e-commerce context, “big data enables merchants to trace
each user’s behavior and connect the dots to work out the foremost
effective ways to convert one-time customers into repeat buyers”
(Jao 2013,p.1). Big data analytics (BDA) enables e-commerce firms
to use data more efficiently, drive a better conversion rate,
improve deciding and empower customers (Miller 2013). From the
attitude of transaction cost theory in e-commerce (Devaraj et al.
2002; Williamson 1981), BDA can benefit online firms by improving
market transaction cost efficiency (e.g., buyer-seller interaction
online), managerial transaction cost efficiency (e.g., process
efficiency- recommendation algorithms by Amazon) and time cost
efficiency (e.g., searching, bargaining and after sale monitoring).
Drawing on the resource-based view (RBV)(Barney 1991), we argued
that BDA is a distinctive competence of the high-performance
business process to support business needs, such as identifying
loyal and profitable customers, determining the optimal price,
detecting quality problems, or deciding rock bottom possible level
of inventory (Davenport and Harris 2007a). In addition to the RBV,
this research views BDA from the relational ontology of
sociomaterialism perspective, which puts forward the argument that
different organizational capabilities (e.g., management, technology
and talent) are constitutively entangled (Orlikowski 2007) and
mutually supportive (Barton and Court 2012) in achieving firm
performance. Finally, service marketing offers the attitude of
improving service innovation models, which has been reflected by
firms like Rolls Royce (Barrett et al. 2015), Amazon, Google and
Netflix (Davenport and Harris 2007a). As such, the extant
literature identifies BDA as the platform for “growth of
employment, increased productivity, and increased consumer surplus”
(Loebbecke and Picot 2015, p.152), the “next big thing in
innovation” (Gobble 2013, p.64); “the fourth paradigm of science”
(Strawn (2012); “the next frontier for innovation, competition, and
productivity” (p. 1) and the next “management revolution” (p. 3)
(McAfee and Brynjolfsson 2012); or that BDA is “bringing a
revolution in science and technology” (Ann Keller et al. 2012);
etc. Due to the high impact in e-commerce, notably in generating
business value, BDA has recently become the main target of
educational and industry investigation (Fosso Wamba et al.
2015
Although an increasing amount of published materials has focused on
practitioners during this domain, the literature remains largely
anecdotal and fragmented. There is a paucity of research that gives
a general taxonomy from which to explore the size and applications
of massive data in e-commerce. The purpose of this research
therefore is to spot different conceptual dimensions of massive
data in e-commerce and their relevance to business value. This
paper focuses on e-commerce firms that capture business value
through using big data analytics (BDA). The extant literature shows
that BDA could allow an e-commerce firm to achieve a range of
benefits, such as: enhanced pricing strategies for products and
services (Christian 2013); targeted advertising; better
communication between research and development (R&D) and
product development; improved customer service; improved
multi-channel integration and coordination; enhanced global
sourcing from multiple business units and locations, and, overall,
suggesting models and ways to capture greater business value (Beath
et al. 2012; Fosso Wamba et al. 2015a; Sharma et al. 2014).
2)How do you think it will transform business in the next 5 years?
Answer:
5 main factors that will drive e-commerce growth in the
next 5 years and transform business:
From relative obscurity to a potential game changer in a matter of
just few years, online retail has not only captured a larger share
of mind space; it has been grabbing market share rapidly. Flipkart,
one among the most important online retailers in India, grew five
times in volume of products sold between 2013 and 2014. Snapdeal,
another large player, is reported to possess grown sixfold within
the same period. Is this growth rate sustainable? Here are five
factors which will help online retail grow in coming years.
Google India spokesperson says that web page search in Hindi has
grown a whopping 155 per cent within the past year, which is
significantly above the expansion of content search in English.
Hindi content searched through mobile Internet grew at even higher
rate of 300 per cent within the same period. Growth in traffic in
other languages, too, was impressive.
Sensing a chance , Snapdeal launched its interfaces in local
languages. “We launched Snapdeal’s multilingual interface in
January 2014 in Hindi and Tamil languages and have seen an
incredible response from customers towards this. We will shortly be
adding four more regional language interfaces,” says Ankit Khanna,
senior vice-president (product management) at Snapdeal.com.
Online travel firm MakeMyTrip launched its Hindi app in November
2014 and plans to add four more languages — Gujarati, Tamil, Telugu
and Malayalam — in the coming months.
With incremental growth in mobile subscriber coming mostly from
people that are comfortable with languages aside from English,
online retailers see this emergent segment as new growth driver.
Mohit Bahl of consultancy firm KPMG says localisation of content
may be a great innovation, which can be helpful in future. For
those that have already done it, there'll be first mover advantage.
Others are likely to follow suit, he adds.
About 20 per cent of India’s population lives in cities outside
of metros. There are several pointers that suggest this massive
group of city dwellers have significant purchasing power. Honda, as
an example , sells 60 per cent of its Amaze car in tier-II and
tier-III cities. These cities account for 55 per cent of Honda’s
City models.
Consumer demand is rising rapidly even in small towns and cities.
Talking about the potential of fast-moving consumer goods (FMCG)
sector, a 2012 Nielsen report says: “While metros will remain a
staple for marketers and increasing a rural footprint will be
critical for volumes within the end of the day , there's a growth
opportunity that's vastly under-rated by many marketers today,
which could emerge as a key growth engine for the next 10 years.
Middle India, a neighborhood made from approximately 400 towns each
with a population of 1-10 lakh, are home to 100 million Indians.”
It further says: “These cities are ready to behave like the metros
of tomorrow…The annual per capita FMCG consumption of Middle India
towns touched Rs 2,800”, which is much higher than the national
average of Rs 1,600.
The Nielsen report clearly shows that non-metro cities offer an
enormous growth potential for several companies. “At Snapdeal.com,
we recover from 60 per cent of the sales from tier and beyond towns
and cities,” says Khanna. Other online retailers have reported the
same trend. The contribution of those cities in coming years is
about to become even bigger. “In addition to the convenience,
another factor that's driving our sales in such cities is that a
lot of of the brands don't have footprint in these areas. No
physical retailer can have the type of assortment of products that
we've ,” observes Praveen Sinha, co-founder of online retailer
Jabong.
Online retailers’ growing reach in non-metro cities is being driven by the increase in usage of mobile internet within the country. According to Internet and Mobile Association of India, the amount of mobile internet users within the country stood at 173 million in December 2014. It is set to grow manifold by 2020. A Confederation of Indian Industry report estimates that within the next six years, the amount of individuals accessing the web through mobile is about to succeed in 600 million. “This growth are going to be spurred by a pointy rise in smartphone adoption, expected to succeed in 50 per cent penetration by 2020,” says the report. “Given the increased mobile penetration and smartphone adoption in these areas, mobile is certainly one among the main factors driving this trend,” adds Khanna of Snapdeal.com
There has been a net addition of nearly 140 million debit cards within the country within the past two years. What is more, the usage of debit cards at point of sale terminals has seen a growth of 86 per cent within the same period. It indicates the willingness to use debit cards for purposes other than withdrawing money at ATMs has increased. With many online retailers still insisting on use of cards for top value transactions, it's a welcome change. It will allow e-tailers to reach out to many areas and many more customers in coming years.Currently, cash on delivery constitutes nearly 70 per cent of all transactions for online retailers. But online retailers say the usage of cards for online transactions is steadily rising.
Online retailers say they need extended their reach to
“12,500-15,000 pin codes” out of nearly 100,000 pin codes within
the country. There also are reports of online retailers trying to
traffic jam with India Post and petrol pump stations to succeed in
bent more customers. Expected aviation boom in small cities may
additionally widen the reach of online retailers in
future.