SJSU Computer Science CEO Technology Best Practices Arc Discussion
Review the section on the definitions of maturity stages and dimension variables in the CEO Technology Best Practices Arc. Define each of the maturity stages and performance dimensions. What are the key concepts from each section?
The above submission should be one -page in length and adhere to APA formatting standards
citations and references plz no plagiarism.
San Jose State University Transformational Leadership and Knowledge Paper
Liberty University Application Based Security Scanner Discussion
I’m working on a cyber security question and need support to help me study.
Discuss the importance of installing an application-based security scanner on a personal workstation. In one paragraph, describe the name and version of a potential security scanner and its core features. In a second paragraph, describe any risks or threats mitigated by using this security scanner.
LU Company Demand for Latest Window Version of A Computer Discussion
I’m working on a computer science question and need support to help me learn.
You received a request from your boss to upgrade an employee’s computer to the latest version of Windows. You are planning to upgrade his computer next week since he will be on vacation. What will you need to do to prepare for the onsite visit and, once there, what will be the steps to perform the upgrade?
University of the Cumberlands Competitive Advantage in an Organization Discussion
Select any one question from below and answer clearly full question:
Be more than 1 pages in length not including the required cover page and reference page.
Follow APA7 guidelines.
References: At least two peer-reviewed, scholarly journal references not including textbook.
Be clearly and well-written, concise, and logical, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.
Cumberland County College Pros and Cons of Virtualization Discussion
Select from the following list four (4) topics and discuss. Use
only 125-words max per topic to discuss and present your answer.
Topics
Total 500 words, 2 APA references and No plagiarism please
San Jose State University Securing Backups and RAID Levels Case Study
Case study 1
Search “scholar.google.com” for a company or school that has reported issues, problems, concerns about their backup procedures. Discuss the issue of securing backups. There have been several incidents lately in which backup media containing personal customer information were lost or stolen. How should backup media be secured? What about off-site storage of backups?
Requirements: 600 words content, 3 APA references, plagiarism 15% and below
Case Study 2
Using a Web browser, search for available commercial applications that use various forms of RAID (Redundant Array of independent Disks) technologies, such as RAID 0 through RAID 5. What is the most common implementation? What is the most expensive?
Requirements: 600 words content, 3 APA references, plagiarism 15% and below
University of Cumberlands Benefits of Virtualization Software Discussion
Discuss the benefits of virtualization software, as described in the text. Do you agree/disagree with these benefits? Can you think of any additional benefits not already presented? Also, discuss the security concerns highlighted by server sprawl and how you would propose to solve those in your (real or hypothetical) organization.
Please make your initial post and two response posts substantive. A substantive post will do at least two of the following:
SJSU Productivity Paradox and its Current Thinking Discussion Replies
Answer 1
Productivity Paradox and its Current Thinking
There exists a notable discrepancy between information technology (IT) investments and the garnered national productivity levels. A productivity paradox entails an unusual corporate process analysis that postulates a negative correlation between IT investments and worker productivity, where more computer-based investments are associated with decreases in overall employee productivity. The 20th-century observation is backed with diverse empirical evidence collected between the 1970s and 1990s by comprehensively evaluating the growth of distinct economies with standardized computerization. In such economies, the prospected return on investments before the IT investments was about 3-4% and was attributed to the mechanization of farm operations and factory sectors. However, with the introduction of IT, the economies’ return on investments dropped to 1% between the 1970s and 1990s.
Paradox Development
The contradictions developed through five stages from the period around the 1970s. The first stage constituted the days where little was known about the implications of IT investments, including a widespread notion that its applications risked displacing human labor. The second stage occurred in the late 1970s and entailed the practical realization of the inefficiencies of IT investments in increasing productivity. However, most companies continued to undertake investments in computing despite the apparent conclusion of its impact on productivity. The early 1980s marked a period when various multinational corporations leveraged IT strategies in creating a competitive advantage over their competitors, and the fourth stage market, the period when the investments covered management information systems, which, unlike in the other stages, was not expected to be directly productive (Ibragimov & Sims, 2008)e. In the last phase, most IT investments were directed towards telecommunications and significantly lowered productivity expectations.
Prospected Causes of the Productivity Paradox
Researches have consistently attempted to unveil the possible causes of the evident non correlation between increased IT investments and lowered productivity levels. First, measurement errors are attributed to the causes of the negative correlation between the variables and are associated with the difficulties encountered in assessing the service sector productivity (Ibragimov & Sims, 2008). They involve the diminished potential for the national statistics taking into account the qualitative contributions associated with IT. The second explanation relates to the aspect of time lags, where researchers argued that for productivity gains associated with IT to occur, they require time and notable alterations of the complementary infrastructure. The others include mismanagement and differences in income distribution among companies in an economy.
Current Thinking
The modern era is characterized by technological revolutions that include incorporating artificial intelligence (AI) in organizational practices. As such, machines can execute tasks that were only possible through human intelligence a decade ago (BRYNJOLFSSON et al., 2020). In addition, there has also been an extensive growth of other digital capabilities, unlike in the conventional era, such as the worldwide digital infrastructures. Nevertheless, despite the enormous industrial potential, the growth rate remains low, which makes the modern productivity paradox redux the IT paradox in the twentieth century.
References
BRYNJOLFSSON, E., BENZELL, S., & ROCK, D. (2020). Understanding and Addressing the Modern Productivity Paradox – MIT Work of the Future. MIT Work of the Future. Retrieved from https://workofthefuture.mit.edu/research-post/understanding-and-addressing-the-modern-productivity-paradox/.
Ibragimov, V., & Sims, J. (2008). An updated view of the productivity paradox in the early 21st century.
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Answer 2
The productivity paradox is also referred to as the Solow computer paradox. It is used when referring to a peculiar observation that is made in the business process analysis. For instance, when more when a business makes more investment in information technology, then it is indicated that workers’ productivity is likely to go down instead of going up. The productivity paradox has been indicated. It has been supported with various empirical evidence that dates back from the 1960s to the 1990s (Brynjolfsson et al., 2019). This has been featured to be highly intuitive. In most organizations, before the organization thought on investment in IT, it was noted that the expected return that was noted on investment in productivity was about 3-4%. The average is said to have developed from the automation or mechanization of the factory sectors and other farms. With the use of IT, the expected return was expected to be around 1% from the 1970s and 1990s (Polák, 2017).
Different theories have been featured to explain the productivity paradox and ensuring that everyone understands how it works. Some of the theories focused on ideas that relate to the inadequate measurement of productivity to those explaining the necessary lag period before gaining the actual products that could be seen in an organization (Polák, 2017). With companies that have heavily invested in IT, it is notable that they can witness productivity. Hence, the different theories have found evidence to the same and to explain the productivity paradox (Zhu et al., 2018).
References
Brynjolfsson, E., Rock, D., & Syverson, C. (2019). 1. Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics (pp. 23-60). University of Chicago Press.
Polák, P. (2017). The productivity paradox: A meta-analysis. Information Economics and Policy, 38, 38-54.
Zhu, D., Ciais, P., Chang, J., Krinner, G., Peng, S., Viovy, N., … & Zimov, S. (2018). The large mean body size of mammalian herbivores explains the productivity paradox during the Last Glacial Maximum. Nature ecology & evolution, 2(4), 640-649.
