Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Lipsticks and razorblades: How the ...
~
Dew, Nicholas.
Linked to FindBook
Google Book
Amazon
博客來
Lipsticks and razorblades: How the Auto ID Center used pre-commitments to build The Internet of Things.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Lipsticks and razorblades: How the Auto ID Center used pre-commitments to build The Internet of Things./
Author:
Dew, Nicholas.
Description:
321 p.
Notes:
Source: Dissertation Abstracts International, Volume: 64-10, Section: A, page: 3751.
Contained By:
Dissertation Abstracts International64-10A.
Subject:
Business Administration, Management. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3108752
ISBN:
0496562977
Lipsticks and razorblades: How the Auto ID Center used pre-commitments to build The Internet of Things.
Dew, Nicholas.
Lipsticks and razorblades: How the Auto ID Center used pre-commitments to build The Internet of Things.
- 321 p.
Source: Dissertation Abstracts International, Volume: 64-10, Section: A, page: 3751.
Thesis (Ph.D.)--University of Virginia, 2003.
This study explores the real-time emergence of the RFID (radio frequency identification) industry by investigating how the Auto ID Center, a MIT-based network of business organizations, is creating an infrastructure for computers to communicate with objects via The Internet of Things. The analysis shows how the Auto ID network originated in a "garbage can" fashion and used effectuation to grow through a series of stakeholder commitments. Effectual strategies are primarily means-driven and non-predictive. These strategies are directed at shaping---or designing---future markets rather than trying to predict them. Two theoretical mechanisms are used to frame the evidence in this study. First, the study builds on the concept of docility, originally devised by Simon (1993), by emphasizing the importance of reciprocal persuasion in new market creation. In free markets persuasion goes both ways in every interaction and the give-and-take of social advice is often a major help to people in their decision-making. Second, the study uses the concept of pre-commitment, which is a self-imposed non-negotiable constraint on our future choices. The Auto ID Center pre-committed to developing technology based solely on what stakeholder partners were willing to commit to. These two mechanisms are used to trace the temporal architecture of the Auto ID network. After originating in a garbage can, the network converged on increasingly specific goals as well as set in motion a widening process of mobilizing resources. The Auto ID network is bringing the idea of the Internet of Things to market piece by piece by transforming it into valuable new social artifacts, such as technical standards, infrastructure and markets for products and services.
ISBN: 0496562977Subjects--Topical Terms:
626628
Business Administration, Management.
Lipsticks and razorblades: How the Auto ID Center used pre-commitments to build The Internet of Things.
LDR
:02663nmm 2200277 4500
001
1841538
005
20050915142050.5
008
130614s2003 eng d
020
$a
0496562977
035
$a
(UnM)AAI3108752
035
$a
AAI3108752
040
$a
UnM
$c
UnM
100
1
$a
Dew, Nicholas.
$3
939366
245
1 0
$a
Lipsticks and razorblades: How the Auto ID Center used pre-commitments to build The Internet of Things.
300
$a
321 p.
500
$a
Source: Dissertation Abstracts International, Volume: 64-10, Section: A, page: 3751.
500
$a
Adviser: S. Venkataraman.
502
$a
Thesis (Ph.D.)--University of Virginia, 2003.
520
$a
This study explores the real-time emergence of the RFID (radio frequency identification) industry by investigating how the Auto ID Center, a MIT-based network of business organizations, is creating an infrastructure for computers to communicate with objects via The Internet of Things. The analysis shows how the Auto ID network originated in a "garbage can" fashion and used effectuation to grow through a series of stakeholder commitments. Effectual strategies are primarily means-driven and non-predictive. These strategies are directed at shaping---or designing---future markets rather than trying to predict them. Two theoretical mechanisms are used to frame the evidence in this study. First, the study builds on the concept of docility, originally devised by Simon (1993), by emphasizing the importance of reciprocal persuasion in new market creation. In free markets persuasion goes both ways in every interaction and the give-and-take of social advice is often a major help to people in their decision-making. Second, the study uses the concept of pre-commitment, which is a self-imposed non-negotiable constraint on our future choices. The Auto ID Center pre-committed to developing technology based solely on what stakeholder partners were willing to commit to. These two mechanisms are used to trace the temporal architecture of the Auto ID network. After originating in a garbage can, the network converged on increasingly specific goals as well as set in motion a widening process of mobilizing resources. The Auto ID network is bringing the idea of the Internet of Things to market piece by piece by transforming it into valuable new social artifacts, such as technical standards, infrastructure and markets for products and services.
590
$a
School code: 0246.
650
4
$a
Business Administration, Management.
$3
626628
650
4
$a
Economics, Commerce-Business.
$3
626649
690
$a
0454
690
$a
0505
710
2 0
$a
University of Virginia.
$3
645578
773
0
$t
Dissertation Abstracts International
$g
64-10A.
790
1 0
$a
Venkataraman, S.,
$e
advisor
790
$a
0246
791
$a
Ph.D.
792
$a
2003
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3108752
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9191052
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login