國立虎尾科技大學 |

The Well of the Past : = How Experience With Problems While Using Prior Technologies Affects the Adoption of New Technologies.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	The Well of the Past :/
其他題名:	How Experience With Problems While Using Prior Technologies Affects the Adoption of New Technologies.
作者:	Paik, Eugene Taeha.
面頁冊數:	1 online resource (177 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.
Contained By:	Dissertation Abstracts International79-10A(E).
標題:	Management. -
電子資源:	click for full text (PQDT)
ISBN:	9780355955576

The Well of the Past : = How Experience With Problems While Using Prior Technologies Affects the Adoption of New Technologies.
Paik, Eugene Taeha.

The Well of the Past :How Experience With Problems While Using Prior Technologies Affects the Adoption of New Technologies. - 1 online resource (177 pages)

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A.

Thesis (Ph.D.)--The University of Arizona, 2018.

Includes bibliographical references

This dissertation questions how organizations' experience with problems while using prior technologies affects the adoption of new technologies. It develops and tests a model of technology adoption that takes into account three factors -- characteristics of organizations, technologies, and the environment. Drawing on organizational learning theory, this dissertation makes four general predictions. First, focal organizations' direct experience with problems while using prior technologies increases the likelihood of adopting new technologies. Second, focal organizations' indirect experience with problems through their production network partners increases their likelihood of adopting new technologies and strengthens the relationship between direct experience and technology adoption. Third, the relationship between learning from direct and indirect experiences and technology adoption is stronger for a new technology developed inside the industry than for that developed outside the industry. Lastly, organizations' social relationships with production network partners, which are influenced by both types of learning, affect the likelihood of adopting new technologies. I test these predictions in the context of the music recording industry, using a longitudinal dataset of records released in the U.S. music recording industry between 1962 and 2005. Five on-line metadata servers provide detailed information on records, record labels, artists, and other participants in record production. I discuss the implications of my findings for organizational learning theory, social network perspective, and the literature on technological change.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355955576Subjects--Topical Terms:

558618
Management.
Index Terms--Genre/Form:

554714
Electronic books.

The Well of the Past : = How Experience With Problems While Using Prior Technologies Affects the Adoption of New Technologies.
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502 $a Thesis (Ph.D.)--The University of Arizona, 2018.
504 $a Includes bibliographical references
520 $a This dissertation questions how organizations' experience with problems while using prior technologies affects the adoption of new technologies. It develops and tests a model of technology adoption that takes into account three factors -- characteristics of organizations, technologies, and the environment. Drawing on organizational learning theory, this dissertation makes four general predictions. First, focal organizations' direct experience with problems while using prior technologies increases the likelihood of adopting new technologies. Second, focal organizations' indirect experience with problems through their production network partners increases their likelihood of adopting new technologies and strengthens the relationship between direct experience and technology adoption. Third, the relationship between learning from direct and indirect experiences and technology adoption is stronger for a new technology developed inside the industry than for that developed outside the industry. Lastly, organizations' social relationships with production network partners, which are influenced by both types of learning, affect the likelihood of adopting new technologies. I test these predictions in the context of the music recording industry, using a longitudinal dataset of records released in the U.S. music recording industry between 1962 and 2005. Five on-line metadata servers provide detailed information on records, record labels, artists, and other participants in record production. I discuss the implications of my findings for organizational learning theory, social network perspective, and the literature on technological change.
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