A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory
碩士 === 國立交通大學 === 資訊管理所 === 90 === As knowledge management (KM) has become increasingly important, many organizations have built information systems to help better management, share and distribute their knowledge-based assets. There is no doubt that the rapid developments in knowledge management and...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2002
|
Online Access: | http://ndltd.ncl.edu.tw/handle/61679916996651082002 |
id |
ndltd-TW-090NCTU0396010 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-090NCTU03960102016-06-27T16:09:00Z http://ndltd.ncl.edu.tw/handle/61679916996651082002 A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory 從知識管理及習慣領域理論探討企業創新 Tsung-Chih Lai 賴宗智 碩士 國立交通大學 資訊管理所 90 As knowledge management (KM) has become increasingly important, many organizations have built information systems to help better management, share and distribute their knowledge-based assets. There is no doubt that the rapid developments in knowledge management and information technology (IT) have allowed organizations to manage knowledge more efficiently. However, this does not change the fact that innovation is the main driving force in knowledge management. Using Habitual Domain Theory (HD), this research first explains the meaning of creativity and innovation. We then discuss eight common behavior tendencies and eight hypotheses of behavior mechanism, and show how these common behavior tendencies and the hypotheses could inhibit and/or help creativity and innovation processes. The intention is to help organizations to implement effective knowledge management and as not to get trapped in misusing the behavioral tendencies and hypotheses. Furthermore, based on Competence Set Analysis and real innovation cases, including those of Federal Express and 7-ELEVEN, We introduce a competence transforming model to facilitate industrial innovation. The competence transforming model can help organizations with better understanding and management of their competence sets and resources while they are undertaking innovation activities. By following this model, the organizations can formulate and implement effective innovation strategies. We then choose cases of Nike and 7-ELEVEN to illustrate the usefulness and effectiveness of the transforming model. Finally, we show how the competence transforming model can help organizations identify the truly needed competence sets to develop and sell their products or services as to gain a competitive edges in the competitive world market. Po-Lung Yu 游伯龍 2002 學位論文 ; thesis 93 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立交通大學 === 資訊管理所 === 90 === As knowledge management (KM) has become increasingly important, many organizations have built information systems to help better management, share and distribute their knowledge-based assets. There is no doubt that the rapid developments in knowledge management and information technology (IT) have allowed organizations to manage knowledge more efficiently. However, this does not change the fact that innovation is the main driving force in knowledge management.
Using Habitual Domain Theory (HD), this research first explains the meaning of creativity and innovation. We then discuss eight common behavior tendencies and eight hypotheses of behavior mechanism, and show how these common behavior tendencies and the hypotheses could inhibit and/or help creativity and innovation processes. The intention is to help organizations to implement effective knowledge management and as not to get trapped in misusing the behavioral tendencies and hypotheses.
Furthermore, based on Competence Set Analysis and real innovation cases, including those of Federal Express and 7-ELEVEN, We introduce a competence transforming model to facilitate industrial innovation. The competence transforming model can help organizations with better understanding and management of their competence sets and resources while they are undertaking innovation activities. By following this model, the organizations can formulate and implement effective innovation strategies. We then choose cases of Nike and 7-ELEVEN to illustrate the usefulness and effectiveness of the transforming model.
Finally, we show how the competence transforming model can help organizations identify the truly needed competence sets to develop and sell their products or services as to gain a competitive edges in the competitive world market.
|
author2 |
Po-Lung Yu |
author_facet |
Po-Lung Yu Tsung-Chih Lai 賴宗智 |
author |
Tsung-Chih Lai 賴宗智 |
spellingShingle |
Tsung-Chih Lai 賴宗智 A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory |
author_sort |
Tsung-Chih Lai |
title |
A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory |
title_short |
A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory |
title_full |
A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory |
title_fullStr |
A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory |
title_full_unstemmed |
A Study of Industrial Innovation from Knowledge Management and Habitual Domain Theory |
title_sort |
study of industrial innovation from knowledge management and habitual domain theory |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/61679916996651082002 |
work_keys_str_mv |
AT tsungchihlai astudyofindustrialinnovationfromknowledgemanagementandhabitualdomaintheory AT làizōngzhì astudyofindustrialinnovationfromknowledgemanagementandhabitualdomaintheory AT tsungchihlai cóngzhīshíguǎnlǐjíxíguànlǐngyùlǐlùntàntǎoqǐyèchuàngxīn AT làizōngzhì cóngzhīshíguǎnlǐjíxíguànlǐngyùlǐlùntàntǎoqǐyèchuàngxīn AT tsungchihlai studyofindustrialinnovationfromknowledgemanagementandhabitualdomaintheory AT làizōngzhì studyofindustrialinnovationfromknowledgemanagementandhabitualdomaintheory |
_version_ |
1718324577371684864 |