On the Statistical Identification of Technology Disruption
This study suggests a statistical procedure to identify technology disruption. Inparticular, a threshold autoregressive model enables the identification of thresholdpenetration for disruptive technology that affects the dynamic adjustment of anestablished technology. Both the magnitude and direction...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Pergamon
2012
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/49041 |
| _version_ | 1848758151823753216 |
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| author | Madden, Gary Morey, Aaron Theoharakis, B. |
| author_facet | Madden, Gary Morey, Aaron Theoharakis, B. |
| author_sort | Madden, Gary |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This study suggests a statistical procedure to identify technology disruption. Inparticular, a threshold autoregressive model enables the identification of thresholdpenetration for disruptive technology that affects the dynamic adjustment of anestablished technology. Both the magnitude and direction of the impact is identifiedby country World Bank income category in the context of the impact of (disruptive)mobile telephone diffusion on (primary) fixed-line markets. Importantly, as theprocedure only requires a short time-series for the introduced technology and canreadily be conducted on an ongoing basis. |
| first_indexed | 2025-11-14T09:39:26Z |
| format | Journal Article |
| id | curtin-20.500.11937-49041 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:39:26Z |
| publishDate | 2012 |
| publisher | Pergamon |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-490412017-03-15T22:55:54Z On the Statistical Identification of Technology Disruption Madden, Gary Morey, Aaron Theoharakis, B. Mobile telephony Fixed-line penetration Technology disruption This study suggests a statistical procedure to identify technology disruption. Inparticular, a threshold autoregressive model enables the identification of thresholdpenetration for disruptive technology that affects the dynamic adjustment of anestablished technology. Both the magnitude and direction of the impact is identifiedby country World Bank income category in the context of the impact of (disruptive)mobile telephone diffusion on (primary) fixed-line markets. Importantly, as theprocedure only requires a short time-series for the introduced technology and canreadily be conducted on an ongoing basis. 2012 Journal Article http://hdl.handle.net/20.500.11937/49041 Pergamon restricted |
| spellingShingle | Mobile telephony Fixed-line penetration Technology disruption Madden, Gary Morey, Aaron Theoharakis, B. On the Statistical Identification of Technology Disruption |
| title | On the Statistical Identification of Technology Disruption |
| title_full | On the Statistical Identification of Technology Disruption |
| title_fullStr | On the Statistical Identification of Technology Disruption |
| title_full_unstemmed | On the Statistical Identification of Technology Disruption |
| title_short | On the Statistical Identification of Technology Disruption |
| title_sort | on the statistical identification of technology disruption |
| topic | Mobile telephony Fixed-line penetration Technology disruption |
| url | http://hdl.handle.net/20.500.11937/49041 |