Amazon Company is an American multinational technological enterprise focusing on artificial intelligence, e-commerce, digital streaming, online advertisement, and cloud computing. Amazon is considered one of the Big Five American technology companies, together with Meta, Apple, Microsoft, and Google. The company, which was started in 1994 initially as an online library, has expanded to various products category and subsidies, which include; Amazon Web Services, Zoox, Kuiper Systems, Amazon Lab126, Foods Market, and physical retailers, amongst others (WELLS et al., 2018). Notably, the company has earned its reputation as one of the distributors in the world. The company’s success depends on aggressive innovation, especially on internet technology. For instance, the company adopted Amazon Web Service, an essential technology for its success. With appropriate strategies for Web Service, the company is likely to dominate the industry as it sustains its competitive advantage continuously.
Strategy and IT Approach
Amazon is aggressively investing in internet technology. The company has acknowledged the relevance of technology in contemporary society as a means of enhancing quality and efficiency. For one, the company has invested greatly in robotic technology. According to Sobolev (2022), The Company has housed many robotic technologies responsible for the packing and picking process. The logic of the robotic technology is to increase the speed and efficiency of the packing and picking process in the warehouse, thus increasing efficiency. Similarly, the company is also investing in drone delivery technology. The company is already filing numerous drone patents on a floating airship warehouse, package parachutes, and package delivery under Amazon Air Prime. In 2017, the US Federal Government approved the drone delivery program to create new opportunities that can enable job creation. The logic behind adopting drone technology is that it will enhance long flights, secure landings, and better maneuvering. Consequently, the company has advanced its physical store under Amazon Go. Amazon Go acts as an advancement in machine learning. For instance, the technology can automate payment, thus promoting speed and accuracy. Another important technology is Amazon Web Service, a form of cloud computing and autonomous vehicles. This aggressive IT approach enables the company to achieve a competitive advantage.
Type of Data Amazon Needs
There are multiple data that Amazon Company need to collect, thus informing their decision-making. For one, the company collects data concerning customers’ personal information concerning tastes and preferences (Akter & Wamba, 2020). The above data are used in communication and delivery of the purchased product and services to personalize the experience and comply with the legal obligation, amongst others. Through personal information, the company can deliver interest-based ads for features, services, and products that might interest the customers. Moreover, the company will use the data to understand market-based trends, thus informing its diversification strategy.
Amazon Web Service
Amazon Web Service is an Amazon subsidy that provides on-demand computing platforms and APIs to companies, governments, and individuals on a metered pay-as-you-use basis. The creation of Amazon Web Service is a strategic move for the company. For one, the technology enhances the database management of the company. The company can collect, access, and store organized data electronically through Amazon Web Service since a large database will be hosted on cloud storage computer clusters (Gupta et al., 2021). Moreover, the Amazon Web Service technologies enable data modeling, query languages, efficient data collection, representation and storage, privacy and security of sensitive data, and distributed computing, amongst others. Similarly, the strategy enhances the safety and efficiency of the web server. A web service is computing software and the underlying software that enhances the creation of website protocols to distribute web content. The company can thus use the technology to initiate communication by making requests for a web page, thus responding effectively to the resource or message error. Moreover, the technology enhances the company’s strategy to enhance consumer relationships. Computer relationship management is whereby a business administers its interaction with the customers by using data analysis to study a large amount of information. Since Amazon Web Service is a form of cloud computing, it enables analysis of many customers’ information, thus promoting organizational success. Therefore, the strategy is effective for the success of the company.
Consistency of the Strategy
The strategy is consistent with Amazon’s growth strategy. For one, the strategy aligns with customer-centered production. Through research, analysis, and customer evaluation, the company aims to avail products and services that best fit the customers’ needs. The company can understand the dynamic need of the customers, thus enabling them to be market leaders. Consequently, the strategy enhance product diversification and differentiation of the Amazon Company. One of the main strategic goals for the company is to diversify its production to target a large market segment and promote uniqueness. According to Pandis (2021), the data collected with the assistance of technology informs the company in its diversification and differentiation strategy. Moreover, the strategy enhances the efficiency and effectiveness of the service delivery. Therefore, the strategy is effective and consistent with the general goal of the company.
Necessities to Succeed with Web Service
The company must minimize the timelines of its outage of the Web Service to be successful in the industry. Notably, the system has suffered a series of outages, hindering its service delivery. Some of those outages involve stacking the Elastic Block Store services, thus making it unable to fulfill, write and read requests, leak bugs in operational data collection agents, and other network outages (Boutaba et al., 2018). This outage is likely to hinder the efficiency of the technology.
Technology is one of the cornerstones of the success of the Amazon Company owing to the increased necessity of increasing efficiency. The company uses technology to enhance quality delivery and efficiency, provide customer-centered services and increase the consumer’s experience while interacting with the company. As a result, the company can achieve high customer satisfaction, minimize costs and promote efficiency. Therefore, it is the right trajectory for the company to adopt technology amid its service delivery.
Akter, S., & Wamba, S. F. (2020). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 26(2), 173–194. springer. https://doi.org/10.1007/s12525-016-0219-0
Boutaba, R., Salahuddin, M. A., Limam, N., Ayoubi, S., Shahriar, N., Estrada-Solano, F., & Caicedo, O. M. (2018). A comprehensive survey on machine learning for networking: evolution, applications, and research opportunities. Journal of Internet Services and Applications, 9(1). https://doi.org/10.1186/s13174-018-0087-2
Gupta, B., Mittal, P., & Mufti, T. (2021). A Review on Amazon Web Service (AWS), Microsoft Azure & Google Cloud Platform (GCP) Services. Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India. https://doi.org/10.4108/eai.27-2-2020.2303255
Pandis, I. (2021). The evolution of Amazon redshift. Proceedings of the VLDB Endowment, 14(12), 3162–3174. https://doi.org/10.14778/3476311.3476391
Sobolev, L. B. (2022). Robots in the aerospace industry. Revista de La Universidad Del Zulia, 13(36), 241–256. https://dialnet.unirioja.es/servlet/articulo?codigo=8810103
WELLS, J., DANSKIN, G., & ELLSWORTH, G. (2018). Amazon.com, 2018. Harvard Business School. https://d1wqtxts1xzle7.cloudfront.net/58692202/Amazon-libre.pdf?1553402934=&response-content-disposition=inline+filenameAmazon.pdf&Expires=1685350173&Signature=Dx0NLNEeV-pIhsZSnzem8XF18iuEI9H4G~bOJWRCR–CejUm4TD3SuRpmgFDyNrWe-oPWeXQT9abXd4ir-IRpLAyPqX7gNiHu~7ofNMFtjNusQgvY63Psh-ggxn4isUvF-Nuv~q97TGu5T-7Mhh1HP~ICi1l4-U-S885kl-7w4C95lc4j4Fo7SpWVA11MQT30sjX4I2WGRi~u3y9YFTi-roMFydd7f0IFsQEtmSvMTeB9g~an6ZyYrhTRzOX~wWkB~B4wjEFCgJFn4xn2Jcwj~3UdkTUrqIZRwvT-ssccopRZCBGJXbuL~Ijbi~euMfWkLvXj~Gcg3Av120u-rH-YA__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
Analysis Of Scientific Thinking And Pseudoscience In Chatbots For Consumer Service Sample Essay
Scientific principles fundamentally support the reliability and validity of research. These guidelines help scientists build a solid basis for their research, producing more precise and reliable results. This essay analyzes and assesses the “Chatbots for Consumer Service” study description to determine how well it complies with three scientific principles: the exclusion of competing hypotheses, the principle of falsifiability, and the principle of remarkable claims. This research also links pseudoscience to the overuse of anecdotes. The study evaluates research credibility and scientific rigor using these criteria. This analysis will demonstrate the significance of these principles and the importance of distinguishing actual science from pseudoscience.
Scientific Principle 1: Ruling out alternative explanations
The scientific concept of ruling out alternative explanations is essential to ensure that researchers consider and investigate other logical possibilities that may explain their findings. This idea is not included in the study description of “Chatbots for Consumer Service,” nevertheless. Based only on self-reported satisfaction ratings, the research asserts that chatbots provide better customer support than human employees. However, the study needs to sufficiently consider alternative causes that could have contributed to these improved scores.
The researchers could have included more procedures to improve adherence to this scientific guideline in their study plan. They may have, for instance, included objective performance measurements like response time or accuracy to provide an impartial assessment of the caliber of the customer support. Such assessments enabled the researchers to rule out any confounding factors, such as the novelty effect or the social desirability bias, that may have impacted the self-reported satisfaction ratings. Additionally, doing follow-up interviews or surveys with participants may have given further details about their degrees of satisfaction and assisted in identifying possible competing theories. The validity and dependability of the researchers’ conclusions may have been improved by thoroughly examining and eliminating competing ideas.
The researchers may have thought about doing controlled trials in addition to including objective performance measures and conducting follow-up interviews or surveys. They may have reduced possible biases and confounding factors by randomly assigning participants to communicate with a chatbot or a human agent under controlled circumstances. Furthermore, comparing the cost-effectiveness of chatbots and human agents may have revealed more information about the superiority claims. These different methods would have bolstered the researchers’ ability to rule out competing theories and improved the overall validity of their research.
Scientific Principle 3: Falsifiability
The basic concept of falsifiability in scientific inquiry emphasizes the significance of testability and the possibility of disproven statements. However, regarding falsifiability, the study description of “Chatbots for Consumer Service” falls short. The report asserts that chatbots provide improved customer support without outlining specific standards or quantifiable results for assessment. The absence of testable hypotheses and operational definitions undermines the scientific validity of the study.
The research should provide precise measures for assessing chatbot customer service to align with the falsifiability principle. Measurable variables enabling empirical testing include response speed, accuracy, and client retention rates. By establishing these standards, the researchers may carry out tests or obtain information that might undermine the argument for chatbot superiority.
Falsifiability is included in the research to increase its scientific rigor and guarantee a more accurate assessment of chatbot performance. The researchers may rigorously evaluate their claims by providing precise and quantifiable criteria for evaluation, enabling a more profound knowledge of the actual efficacy of chatbots in customer care. This strengthens the research’s scientific validity and offers insightful information for real-world applications and decision-making.
Furthermore, falsifiability helps the “Chatbots for Consumer Service” study avoid unfalsifiable statements, which may stall scientific progress. Researchers may objectively evaluate chatbot performance by establishing metrics and testable hypotheses. Falsifiability also promotes critical thinking and openness to alternative answers, boosting scientific credibility. This idea guarantees thorough, trustworthy chatbot technology research that advances customer service expertise.
Scientific Principle 5: Extraordinary claims
The principle of extraordinary claims is a reminder that statements that dramatically depart from accepted wisdom must be supported by solid evidence. In the course of the study on “Chatbots for Consumer Service,” the astonishing assertion that chatbots can completely replace human customer care representatives is made. However, the study’s findings do not rise to the level required to support remarkable assertions. Limitations in representativeness and generalizability are introduced by the dependence on anecdotal evidence from a small sample size.
The study must conduct a more thorough examination to uphold this idea. This would include a broader spectrum of people from different businesses and client groups. The researchers may gather important and varied information about chatbot performance in many circumstances by broadening the study’s focus. The in-depth analysis would entail evaluating customer happiness and objective indicators like response times, rates of issue resolution, and customer retention.
The research may gather sufficient information supporting the notion that chatbots can completely replace human agents by assiduously adhering to the concept of extraordinary claims. This strategy would increase trust in the study results and guarantee that a thorough examination supports conclusions. Additionally, a thorough analysis will increase our understanding of customer service and help us better grasp the potential and limitations of chatbot technology.
Warning Sign: Overreliance on anecdotes
The excessive reliance on anecdotes in the study description is a red flag for pseudoscience. The argument that chatbots provide better customer service is primarily based on arbitrary, individual accounts. However, stories from a small sample size do not amount to a thorough assessment of chatbot performance. Anecdotal information may be biased, is not generally applicable, and could not be a true reflection of the entire consumer experience. The research could use a bigger sample size and objective methods to gauge client happiness, such as surveys or experimental designs, to lessen this red flag. The influence of individual biases may be reduced, and the researchers can provide more support for their assertions by using systematic and trustworthy methodologies.
In conclusion, the study description of “Chatbots for Consumer Service” does not follow the rules of science, which include excluding other possibilities, being able to be falsified, and making remarkable claims. Additionally, it uses excessive anecdotes, which is a red flag for pseudoscience. Alternative explanations, testable hypotheses, strong evidence for unusual claims, and reduced dependence on anecdotes are all essential for improving the scientific validity of the study. By doing this, scientists may ensure their study complies with the requirements of legitimate scientific investigation, encouraging dependable and trustworthy developments in the sector.
Lilienfeld, S.O., Lynn, S.J., Namy, L.L., Cramer, K.M. & Schmaltz, R. (2019). Psychology: From inquiry to understanding. 5th Canadian edition. Toronto, ON: Pearson.
Analysis Of The Poem: “The Lamb” And “The Tyger” Essay Example
Poetry is one of the basic art in literature. Through poems, poets mirror our daily lives. In such spontaneous artwork, poets may end up writing poems with similar concerns. In that way, poetry is viewed as a creative production of economic, socio-political, and reality commentary on particular issues affecting society. Poets often write strong opinions about more sensitive issues in society. In recent centuries, poets have utilized various thematic concerns as well as other literary devices which have made the message reach the audience but also through a touching way. William Blake, in his two poems, The Lamb and The Tyger, articulates similar concerns. The pertinent issues of innocence, fragility, and evil are brought out in the two poems. This paper thus aims to critically analyze some of the poetic textual criticisms in the two poems as a way of bringing out the concerns, symbols, or any other devices that appear in the two poems.
William Blake, in the two poems, “The Tyger” and the “The Lamb” celebrates two contrary states of humankind: experience and innocence. The poet features antithetical animals. Symbolically, the animals represent peace harmony, unity ad goodness. However, the other animal represents the darker part of the world. For instance, In the Lamb, the poet paints the innocence and divinity of not merely a child but also the humblest and most harmless creature in the universe, the lamb. Given the sweet and beautiful nature of the lamb, the child questions whether it knows who created it.
On the other hand, “The Tyger” demonstrates the effects of experience on the state of a child. The poets show how childlike innocence can be destroyed when certain destructive forces are put in its place. Such a destructive force is believed to break the free life of a child and thereby replace it with a cold, dark trait. As such, the poet pinpoints that experience can destroy one’s innocence. Nonetheless, God creates certain fierce forces, the tiger, which restores the mind of innocence.
The poet, therefore, through effective use of language and other poetic devices brings out the two main concerns addressed in the poems. The comparison in the two poems is achieved through the integration of various styles, rhythmic aspects like the sound patterns, distribution of lines in each stanza, and repetition among others.
To begin with, the poet utilizes various sound devices like alliteration, consonance, and rhyme to create rhythm and make the work memorable. Both poems utilize alliteration where words in various lines start with similar consonant sounds. For example, in the poem, the Tyger, the words frame and fame in line 4 are alliterative because of the sound /f/. Also, in The Lamb, the sound /h/ is quite alliterative in the words he and himself in line 14. Moreover, consonance is extensively used in both poems whereby words in certain lines end with a similar consonant. For instance, in The Tyger, the sound /t/ in the words, what and distant in line 5. Similarly, in The Lamb, the sound /t/ demonstrates the influence of consonance as in the words softest and bright in line 6. Additionally, both poems follow a simple rhyme scheme of AABB. In “The Lamb” the rhyme scheme is “–thee, feed” and “mind and child.” A similar rhyme is evident in The Tyger, for example, throughout the poem the rhyme revolves around, “heart, beat,” and “bright, night” By keeping the rhyme scheme so simple, Blake conveys the tone of innocence like that of a child. Again, the deliberate use of such sound effects helps the poet achieve rhythm in the poem.
The other outstanding critical concern that can be foregrounded in the poem is the tone and mood. In both poems, Blake brings to the reader’s attention a dignified and ardent tone through a sharp contrast between life experiences and innocence. Also, there exists a great variation in mood. The Lamb gives a sense of joy and happiness. The lamb’s innocent and playful nature makes it creates an ecstatic mood. Contrastingly, a more sinister mood is realized in the poem, the Tyger. The aspect that the poem conveys is darkness through Tyger’s wonders, the poem solicits fear and power.
Interestingly, it is important to take note that both poems utilize similar poetic devices, although at different ends. For example, there is the use of symbolism. The poem uses symbolism whereby the tiger represents fear and mystery while the lamb symbolizes morality and innocence. An apostrophe is another device used. In “Tyger burning bright” (1) and” Little Lamb” the two personas speak to the two animals as if they are fellow humans whom they can directly address. Again, the poet uses repetition in both poems. In the Lamb, the line “Doust thou know who made thee” (2,10) is repeated twice thus answering the question. The poem, the Tiger also utilizes repetition in lines (1-4), “Tyger, Tyger, burning bright (1, 21) / in the forests of the night…” (2, 21) through repetition, the poet emphasizes the main message of the poem thus making it more appealing to the reader’s emotions through the refrain.
In conclusion, Blake through his idiosyncratic freedom utilizes various poetic devices to bring out the main concerns of the two poems, innocence, and experience. In addition, other devices like diction, mood, and tone help bring out the scope of the poem as well as the subject matter. The poet thus exemplifies in delivering his deliberate albeit metaphorically the need for innocence over evil acts.
Blake, William. “The Tyger by William Blake.” Poetry Foundation, www.poetryfoundation.org/poems/43687/the-tyger.
Accessed 21 May 2023.
Blake, William. “The Lamb by William Blake.” Poetry Foundation, www.poetryfoundation.org/poems/43687/the-tyger.
Accessed 21 May 2023.