Audio:Introduction (50): <\/p>\n
Amazon Kindle is a sequence of mobile electronic gadgets designed to allow readers to browse, read, download, or buy books for their consumption. The range of products provides by Kindle business is created and marketed by Amazon, for customers to read e-books through its e-reader (Dudley, 2019). For it is one of the products of industry 4.0 in the 21st century and developing, hence needs current digital business analysis to understand the trends.<\/p>\n
Big data (100): promotion<\/p>\n
Amazon Kindle can make an accurate suggestion before making sales. According to research done by Simon Peter Rowberry of the University of Stirling, the promotion process involves turning useful information from the data of the most preferred books through Business Intelligence (BI). It then highlights the words and notes in customers\u2019 books and analyzes the feedback of Kindle and on social media (Wills, 2018). This process contributes to big data, a central project of modern science and business, which is used in the digital business to analyze and visualize the information (Breur, 2016). Amazon is widely known as a pioneer. To analyze data more accurately, Amazon developed Amazon RedShift in 2013, to manage a data warehouse in the cloud (Watson, 2014). The redshift is a part of Amazon Web Services (AWS), also used in an online social game, Zynga (Watson, 2014). The Redshift was useful to the Amazon company in the introduction stage of the game (Watson, 2014). This can inflect more concept of business intelligence, especially for businesses with a lot of data, which help in identifying more target market. Amazon\u2019s application of big data will be emulated and promoted soon by various e-commerce enterprises as it becoming a trend.<\/p>\n
Technological product (100): product<\/p>\n
The products and product forms also changed. It is sent from Amazon Kindle to the e-reader mobile app. Both order and delivery occur virtually. Kindle uses a piece of technology equipment, through which virtual products are sent to the e-readers in a minute (Norman, 2009). This method is more developed, having improved technology sense, including fictitious, a unique code to identify each product. The equipment is updated periodically with a changing trend. For example, the idea of Kindle began in 2004, with the name of Fiona (Newton, 2019) and updated from 1.0 to Kindle 10.0. Also, there have been e-commerce developments such as VR, AR, and XR, which depicts future changes in e-reading. <\/p>\n
Shopping website (no physical evidence) (100): place<\/p>\n
Amazon Kindle uses a website to provide its products to customers. The website can be considered as an online store since it allows people to search, choose, and buy books they want through the web browser (Dudley, 2007). It was started by Jeff Bezos in 1994 as a simple form, to give people a fire-new way to buy books and receive them through logistics (Byers, 2007). However, with the emergence of digital disruption that slows down the process, there has been the development of more forms of shopping website, Kindle cloud is one of it. As one of the giant competitors in the market of content selling, Amazon, Google, and Microsoft tried to digitalize as many as books they can. The content is scanned and sent into the cloud (Grafton, 2015), and then be sent to customers’ equipments from the cloud in seconds after payment (Kowalczyk, 2019). This process does not need any physical evidence, but only a sum of data and a channel to pass through the cloud. Therefore, there is no physical evidence of store or product, which shows a current trend of e-commerce in the digital business. <\/p>\n
Blockchain (100): price<\/p>\n
As people are buying, payment has to be made to complete the sale process. Kindle provides an online payment platform based on the blockchain concept. In 2008, the most popular method of block chain was the bitcoin, whereas it currently widely used for funds flow (Swan, 2015). The block chain is used to translate users\u2019 funds into the business\u2019 account with rail (Nofer et al., 2017). The payment mode is convenient for customers, with cost-friendly prices. Also, the paying process is secure as it uses cryptography, which protects data from the modification (Narayanan et al., 2016). In addition, the payment mode can easily be recorded and tracked by the users themselves. It can be guessed that as the industry leader, Amazon Kindle has arguably influenced the entire Internet economy, can this method will be used widely.<\/p>\n
References<\/p>\n
Breur, T. (2016). Statistical Power Analysis and the contemporary \u201ccrisis\u201d in social sciences.\u00a0Journal of Marketing Analytics, 4(2-3), pp.61-65.<\/p>\n
Byers, A. (2007). Jeff Bezos. New York: Rosen Pub. Group.Dudley, B. (2007).\u00a0The Seattle Times: Brier Dudley’s blog. [online] Web.archive.org. Available at: https:\/\/web.archive.org\/web\/20101221083337\/http:\/\/blog.seattletimes.nwsource.com\/brierdudley\/2007\/11\/chatting_with_amazons_kindle_d.html [Accessed 23 Dec. 2019]. <\/p>\n
Grafton, A. (2007). Future Reading: Digitization and its discontents. The New Yorker. <\/p>\n
Kowalczyk, P. (2019).\u00a0What is Kindle cloud, exactly?. [online] Ebook Friendly. Available at: https:\/\/ebookfriendly.com\/what-is-kindle-cloud-library-amazon\/ [Accessed 2 Jan. 2020].<\/p>\n
Narayanan, A. Bonneau, J. Felten, J, Miller, A. and Goldfeder, S. (2016).\u00a0Bitcoin and Cryptocurrency Technologies. Network Security, 2016(8), p.4. R1<\/p>\n
Newton, C. (2019).\u00a0Inside the secret lab where Amazon is designing the future of reading. [online] The Verge. Available at: https:\/\/www.theverge.com\/2014\/12\/17\/7396525\/amazon-kindle-design-lab-audible-hachette [Accessed 23 Dec. 2019]. <\/p>\n
Nofer, M., Gomber, P., Hinz, O. and Schiereck, D. (2017). Blockchain. Business & Information Systems Engineering, 59(3), pp.183-187. R3<\/p>\n
Norman, D. (2009). THE WAY I SEE ITSystems thinking.\u00a0interactions, 16(5), p.52.<\/p>\n
Rowberry, S. (2019). The limits of big data for analyzing reading. Journal of Audience & Reception Studies, 16(1).<\/p>\n
Watson, H. (2014). Tutorial: Big Data Analytics: Concepts, Technologies, and Applications.\u00a0Communications of the Association for Information Systems, 34.<\/p>\n
Wills, J. (2020). 7 Ways Amazon Uses Big Data to Stalk You. [online] Investopedia. Available at: https:\/\/www.investopedia.com\/articles\/insights\/090716\/7-ways-amazon-uses-big-data-stalk-you-amzn.asp [Accessed 1 Jan. 2020].<\/p>\n
Swan, M. (2015).\u00a0Blockchain: Blueprint for a new economy. Sebastopol, CA: O’Reilly Media, Inc.<\/p>\n","protected":false},"excerpt":{"rendered":"
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