Article 1
Nielsen, Jakob. (2001, January 21). Usability Metrics. Retrieved on February 21, 2006, from http://www.useit.com/alertbox/20010121.html.
Usability metrics of software
The author suggests several ways in which the usability of an application can be determined:
- The Success rate (whether users can perform the task at all),
- The time a task requires,
- The error rate
- The user’s subjective satisfaction
- The percentage of time that users follow the optimal navigation path, or
- The number of times the user needs to backtrack when navigating the application.
These are common metrics or measurements of the ease of use for a typical user of a software application. Measuring software using similar metrics are performed in order to minimize error and maximize the quality of the customer experience and thus the demand for the product.
Article 2
Young, Debby (1999). For good measure. CIO Magazine. Retrieved on February 21, 2006, from cio.com: http://www.cio.com/archive/030199_value.html.
Value of information systems and their ROI
In this article the author suggests that businesses value their current Information Systems prior to investing in new Information Technology. According to the author “For IT to provide real value, the solution has to add measurable improvements to the process. And if you first measure the cost of current processes, it’s easy to quantify the value of the improvements you hope to achieve.” (Young, 1999).
- The author provides the five drivers for defining the value of Information Systems:
- Measure potential value
- Align with business goals
- Keep the project focused
- Hold Business Units Accountable
- Measure your success
These value drivers are similar to those of other articles that suggest determining the value an IT solution provides prior to beginning the project. In the end, the objective is to implement those technologies that provide the organization with the greatest ROI (Return on Investment), due to the large investment an Information System often requires.
Article 3
Claburn, Thomas. (2006, Feb 20). Yahoo’s Challenge-Yahoo faces many challenges as it tries to turn vast sums of data it has on visitors into revenue. Another challenge: that little company called Google. InformationWeek.
Value of data in terms of visitor information:
The article interviews Yahoo’s chief data officer, Usama Fayyad in order to describe how Yahoo hopes to use visitor information for marketing products to users more effectively. Its all about intent, according to Fayyad, which can be derived from the information that visitors request. This can hopefully allow yahoo to make their advertising more effective than that of competitor’s Google, which is dependent upon your search query and/or page contents. According to the author, “Yahoo needs to translate the 10 terabytes of data a day its visitors create and turn that raw information into marketable insights” (Claburn).
Article 4
Thurm, Scott. (2006, January 23). Companies Struggle To Pass On Knowledge That Workers Acquire. The Wall Street Journal. Page B1.
Value of organization knowledge
The article discusses the task of managing knowledge in an organization, and some solutions that technology can provide. The knowledge of employees can be critical to their performance and that of the organization. However, the problem arises when the person is moved to a new position or leaves the position/job. The sharing and management of the knowledge of an organization’s workers can potentially provide cost savings, higher efficiency, and better performance. There are several difficulties to manage knowledge, including getting employees to hand over their knowledge for the sake of job security. The author provides an interesting vignette that highlights the value of the knowledge of employees:
“Trying to make conversation during a recent elevator ride, I asked a package-delivery courier whether it was more efficient to start at the top of the building and work down, or start at the bottom of the building and work up. "It depends on the time of day," he replied.
The comment offers a window into one of the modern workplace’s most vexing problems, the issue of knowledge management. The courier believed he had figured out something useful about elevator patterns in my San Francisco office building. But what will happen when he moves to a different job or a different route? Will productivity at the delivery company decline until his successor learns the same lessons?” (Thurm, 2006).
Article 5
Joe Celko (2004, September). A Question of Quality. Intelligent Enterprise, 7(13), 48. Retrieved February 21, 2006, from ABI/INFORM Trade & Industry database. (Document ID: 689392621).
Value of data in terms of Quality
The article focuses on Data Quality for organization’s massive collections of data as a means measuring the trust factor, or value, of the data. According to the author, “The source and age of the data are obvious factors”, “The trust dimension is harder to define” (Celko, 2004).
Article 6
S Bose, K B Oh. (2004). Measuring strategic value-drivers for managing intellectual capital. The Learning Organization, 11(4/5), 347-356. Retrieved February 21, 2006, from ABI/INFORM Global database. (Document ID: 695363021).
Value of knowledge as intellectual capital
This article discusses methods to value a potential information system that provides the organization with intellectual capital and then hopefully a competitive advantage. The author states that with “the emergence of the knowledge economy has presented firms with a different and even more onerous environment for valuation of intellectual capital and, by extension, the strategic management of value. Therefore, in order to manage performance, management must possess the ability to understand the underlying value of knowledge to efficiently and effectively make continuous investments in intellectual capital. Further, in the present competitive global environment, the ability to value and make investments in intellectual capital projects provides a substantial source of competitive advantage and enables firms to benefit from increasing returns (Arthur, 1996) from those investments.” (S Bose, 2004). According to a study the author conducted in Australia, the highest-ranking value-drivers for an intellectual asset are:
- Expected profitability of the intellectual asset. Next
- Uniqueness of the innovation
- Reputation of research team/firm
- Growth prospect
- Economic Factors
- And of course, Risk
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