International Journal of Management and Applied Science (IJMAS)
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current issues
Volume-5,Issue-8  ( Aug, 2019 )
Past issues
  1. Volume-5,Issue-8  ( Aug, 2019 )
  2. Volume-5,Issue-7  ( Jul, 2019 )
  3. Volume-5,Issue-6  ( Jun, 2019 )
  4. Volume-5,Issue-5  ( May, 2019 )
  5. Volume-5,Issue-4  ( Apr, 2019 )
  6. Volume-5,Issue-3  ( Mar, 2019 )
  7. Volume-5,Issue-2  ( Feb, 2019 )
  8. Volume-5,Issue-1  ( Jan, 2019 )
  9. Volume-4,Issue-12  ( Dec, 2018 )
  10. Volume-4,Issue-11  ( Nov, 2018 )

Statistics report
Oct. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 66
Paper Published : 4089
No. of Authors : 8401
  Journal Paper




Paper Title :
Customer Analytics: How do Online Intermediaries use it to their Advantage?

Author :Ranjani C, Sanjeev Bansal

Article Citation :Ranjani C ,Sanjeev Bansal , (2017 ) " Customer Analytics: How do Online Intermediaries use it to their Advantage? " , International Journal of Management and Applied Science (IJMAS) , pp. 66-69, Volume-3,Issue-8

Abstract : Competitive Advantage is an area that has been researched over many years and with evolving times, firms have adopted new strategies to survive and sustain their positions in the market.The internet revolution in the late 90s changed the dynamics of the game between competitions across industries. Internet enabled multiple players to come up with various business models to transact with consumers. Knowing your customer better and tailoring offers to individual customers became the new mantra of competitive advantage. This was for the first time every possible due to internet and Big Data. Theory has enough evidences that Internet driven businesses are advantaged as they have tremendous access to granular consumer information like attitudes, behaviour, purchases etc. that they can make use of to tailor their offerings using business analytics. In fact the internet intermediaries exploit this information asymmetry to the extent of performing first degree price discrimination.This paper aims to unearth the extent of use of customer analytics by online intermediaries to gain and retain a competitive edge in the market. Keywords - Big Data, Business Analytics, Competitive Advantage, Descriptive Analytics, Predictive Analytics, Information Asymmetry

Type : Research paper


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