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A 6 page research paper that offers 2 chapter summaries (chapters 7 and 8) from Jerry N. Luftman's Managing the Information Technology Resource (2004). Chapter 7 concerns emerging technologies and chapter 8 concerns organizational and information technologies theory. No additional sources cited.
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6 pages (~225 words per page)
File: D0_khlufit.rtf
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be viewed as old by another (Luftman 179). In general, however, emerging technology (ET), is considered to be the stage at which a technology is "considered an innovation and is
still developing in terms of capability" (Luftman 180). ET is part of the technology life cycle. An important consideration is when an ET should be adopted, Those who adopt the
ET early are innovators who are willing to take risks; those who adopt late, the "laggards" are skeptical of ET and may wait too long in adopting new technologies to
reap the economic benefit (Luftman 180-181). However, the drawback to implementing ET brings up the questions of "why not jut wait?" (Luftman 183). In response, the author turns the opinions
of CEOs who emphasize that keeping a competitive edge is dependent on being abreast of the latest technology. Technology development necessarily encompasses a variety organizational aspects. Businesses that possess
greater technological expertise will tend to be more willing to assess and implement ET earlier in the technology life cycle (Luftman 186). A normative distribution serves when graphing the adoption
of technologies, however, an S-curve is used in graphing "cumulative adoption" (Luftman 186). The left-hand end of the curve is associated with the time period in which innovative technology is
adopted, while the right-hand end of the curve depicts the period in which laggards adopt ET (Luftman 186). The next section of the chapter discusses how organizations apply the information
indicated on by S-curve. Luftman explains that application of this information occurs in accordance with concepts of innovation diffusion, following the work of Everett Rogers (189). Rogers specifies five
features of innovations that, in turn, have an influence on the rate of adoption: These are: relative advantage; compatibility; complexity; trialability and observability (Luftman 190). Also, adoption of complex
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