Amazon Company: E-Commerce Course

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The T1 connection download rate is 1.5Mb/s. Consequently, the file size for the full-feature movie is 2.4GB.

1.5 Mb = 1 second

2457.6 Mb = x

Time = 27.30 minutes

2.4GB = 2457.6 MB

45Mb = 1 second

2457.6 Mb = x

x = 54.613 seconds

The cable modem with 2Mbps connection. Consequently, the file size for the full-feature movie is 2.4GB.

However, 2.4GB = 2457.6 MB

2Mb = 1 second

2457.6Mb = x

x = 81.92 minutes= 1.37 hours

The telephone modem connection of 56kbps. The file size for the full feature video is 2.4GB.

However, 2.4GB = 2457.6 MB = 2516582.4kb

56kb = 1 second

2516582.4 kb = x

x = 44938.97 seconds = 12.48 hours

Amazon is an online industry that sells books, MP3s, electronics, and other valuable products. The e-commerce industry was established in 1994. With the headquarters situated in Seattle, the industry has 28,300 employees. Amazon opened for public business in 1997. Consequently, the industry created kindle touch, Amazon cloud player, and App store in 2011. The organization markets a wide range of products with customer experience and affiliations. In 2008, Amazon was ranked the global leader in e-commerce. Mass customization and stickiness characterize Amazon’s products.

As a result, the organizations attach values to customer satisfaction using innovation and expertise. Amazon’s core values include ownership, hiring rate, bias for action, innovation, customer obsession, and frugality. The features of a business model include value proposition, revenue model, market opportunity, competitive advantage, competitive environment, market strategy, organizational development, and management team (Laudon & Traver, 2014).

Business model: Amazon

Value proposition

Amazon’s value proposition describes the rationale towards customer satisfaction. Value proposition can be full or partial depending on the product’s value. Thus, the firm’s ability to fulfill customers’ needs with products and services is called value proposition. As a result, the firm’s value proposition depends on price, selection, and convenience. The features of value proposition include customer satisfaction, personalization, selection, price discovery, customization, and buyer’s experience. Amazon creates value products using customer’s needs, relevant content, regular update, buying behavior, demographics, website design and favorite products.

Revenue model

Amazon’s revenue model reveals various channels for revenue generation. The organization utilizes the sale revenue model to generate profit and ROI. Amazon generates income through online bookstores, affiliate marketing, product sales, online shopping, transaction fee, advertising, and operating cash flow.

Market opportunity

Market opportunity reveals the firm’s financial opportunities in a competitive market. Consequently, the market opportunity is characterized by, demand, market relevance, market fit, competition and product. Amazon’s market opportunity includes vendor management, profit margin, procurement, and innovation.

Competitive environment

Amazon’s competitive environment includes eBay, Netflix, Overstock, Newegg, Alibaba, Yahoo, and America online. A competitive market is influenced by product value, competition, profit, price differentiation, and market share.

Competitive advantage

Amazon’s competitive advantage includes investors, price regime, relevance, and convenience. Competitive advance defines the firm’s product value.

Market strategy

Amazon’s business strategy describes market skills, growth pattern, and operations. Thus, Amazon’s strategy includes attention, attraction, and convenience. As a result, the firm improves quality, value, timeless, business reputation, transaction security, and product value. Consequently, the firm upholds brand differentiation, customer loyalty, engagement, relevance, and convenience.

Organizational development

Amazon’s organizational development describes its operational strategy. The features of organizational development include system approach, problem solving approach, multiple interventions, contingency plans, consulting, and participation. Amazon’s organizational development includes customer benchmark, product value, problem analysis, design interventions, implementation, and performance evaluation.

Management team

Amazon’s management team redefines the firm’s business model to stimulate development. The firm’s management team describes the firm’s organizational hierarchy (Devi, Gupta & Dixit, 2014).

  1. An RFC document is a formal publication based on Internet development, protocols, standards, and practice. The Internet Engineering Task Force approves the RFC publication. The task force committee includes computer analysts, scientists, and engineers. Steven Crocker created an RFC system of publication. The Internet Engineering Task force publishes the Request for Comment Document.
  2. The SMTP is a standard protocol for mail transmission. Messages are sent and received using the Simple Mail Transfer Protocol.
  3. RFC 821 was the earliest describing SMTP protocol for sending and reviving email transmissions. RFC documents can be found on the editor’s .

Summary

The RFC document stipulates guidelines to language machine. The form machine document describes the rules and terms for data configuration. Consequently, the document describes specific examples for data configuration. Other features of the form machine include arbitrary lengths, transposition, string length detection, expansion, compression, and application. The document describes different forms of protocol statements. The language for data reconfiguration was approved in 1970. As a result, RFC 83 stipulates a four-step guideline. Consequently, the document describes the functions of the form machine. The form machine resolves sensitive data using the program protocol. Thus, the intra and inter-rule can be used for a regular message.

  1. PageRank describes the likelihood or probability that a random user will visit a website. The numbers represent the likelihood that a paper will be visited. As a result, the numbers measure the percentage probability that a random user will visit a particular site.
  2. Damping factor describes the likelihood or probability that a random user will abort a browsing session.
  3. PageRank algorithms are arranged based on the likelihood. Consequently, the queries are arranged by their ranks.

References

Devi, P., Gupta, A., & Dixit, A. (2014). Comparative study of HITS and PageRank link based ranking algorithms. International Journal of Advanced Research in Computer and Communication Engineering, 3(2), 1-6.

Laudon, K., & Traver, C. (2014). E-Commerce 2014: Business, technology, society. New York, USA, Prentice Hall.

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