Response 1: Respond to at least one classmate using the following:
- Review the type of technology your classmate chose to focus on.
- What phase of technology do you believe this particular piece of technology was in during the year 2000?
- What phase do you believe it is in now? Justify your reasoning.
Classmate that will respond to for the first response will be:
Sabrina,
Week 3: Changing Technology
For this week’s discussion I chose the graph that depicts the cost per minute for long-distance calls to India that Anderson (2004) used as an example for the last stage of any viable technology, approaching free. The values on the Y-axis represent the cost per minute and the X-axis represents years. Starting in 1990, the cost per minute was around $2.25 and the graph shows a slow change at first although long-distance calls were commoditized. As the technology advanced with the over-abundance of fiber-optics, costs began to drop as low as .50 cents per minute in the year 2000. According to the graph, we can see that the cost for long-distance calls were close to approaching free as the line descends which means that there is a negative slope.
The y-intercept isn’t present on the graph, but I would estimate that it would be around $2.25 seeing that for the first 3 years the cost per minute was virtually the same.
To calculate the slope (m) between the points (1995, 1.5) and (2000, 0.5) I need to compare the change in y to the change in x (Blitzer, 2019).
m = y2-y1/x2-x1
m= (0.5 – 1.5) / (2000 – 1995) = -1/5
Since the slope is negative, this means that as time progress the cost of long-distance call decreases as the line descends from left to right.
If we use this graph to predict the cost of long-distance calls to India, by the year 2025 that cost would be basically non-existent. While it would be nice to see all phone plans include international calls at no extra cost, I do not believe that this prediction is reasonable because I don’t see carrier services and VoIP companies letting go of their profits so easily. I am just glad to see that international calls are not as costly as in the past so that we can easily connect with our loved ones throughout the world.
References:
Anderson, C. (2007, April 27). Technology’s long tail [Video]. TED Talks. https://www.ted.com/talks/chris_anderson_technolog…
Blitzer, R. (2019). Thinking mathematically (7th ed.). Pearson.
Response 2: Respond to at least one other classmate using the following:
- Review the graph your peer chose. Do you feel it is reasonable to use the pattern on the graph to predict the Y value for the year 2025? Why or why not?
the second classmate response you will be responding to:
Maria,
We have experienced many changes with the coronavirus pandemic, but these changes has also been reflected in the global retail industry. Individuals stayed at home and shopped using their smart phone and home computers than making purchases in-store. According to Statista, the top three retail websites worldwide in 2020 were Amazon.com, e-Bay.com, Rakuten.co.ip, Apple.com and Samsung.com (Coppola, 2021. Statista). Although individuals are transitioning back to the office for work, digital buyers continue to grow, worldwide.
“In June 2020, global retail e-commerce traffic stood at a record 22 billion monthly visits, with demand being exceptionally high for everyday items such as groceries, clothing, but also retail tech items” (Coppola, 2021. Statistista). The Digital buyers in billions is represented by the y-axis. The x-axis would represent the years, 2014 through 2021. The two variables are y = Digital buyers in billions and x = Year 2014-2021. Given the current slope the anticipated digital buyers in 2025 would be 2.62 based on the slope of .82/7 = 0.117 = 0.12
y=mx + y=.12x + 1.2
“
Slope = Change in y y = mx + b
Change in x
y x
1.32 1 (2014)
1.46 2 (2015)
1.52 3 (2016)
1.66 4 (2017)
1.79 5 (2018)
1.92 6 (2019)
2.05 7 (2020)
2.14 8 (2021)
2.62 12 (2025)
Statista. (Coppola, 2021)
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