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Value in vehicles: economic assessment of automotive data
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| Zeitschriftentitel: | Digital Policy, Regulation and Governance |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | Digital Policy, Regulation and Governance, 20, 2018, 6, S. 513-527 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Emerald
|
| Schlagwörter: |
| author_facet |
Soley, Alexander M. Siegel, Joshua E. Suo, Dajiang Sarma, Sanjay E. Soley, Alexander M. Siegel, Joshua E. Suo, Dajiang Sarma, Sanjay E. |
|---|---|
| author |
Soley, Alexander M. Siegel, Joshua E. Suo, Dajiang Sarma, Sanjay E. |
| spellingShingle |
Soley, Alexander M. Siegel, Joshua E. Suo, Dajiang Sarma, Sanjay E. Digital Policy, Regulation and Governance Value in vehicles: economic assessment of automotive data Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems |
| author_sort |
soley, alexander m. |
| spelling |
Soley, Alexander M. Siegel, Joshua E. Suo, Dajiang Sarma, Sanjay E. 2398-5038 Emerald Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems http://dx.doi.org/10.1108/dprg-05-2018-0025 <jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>The purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>The authors provide a taxonomy for data within connected vehicles, as well as for actors that value such data. The authors create a monetary value model for different data generation scenarios from the perspective of multiple actors.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>Actors value data differently depending on whether the information is kept within the vehicle or on peripheral devices. The model shows the US connected vehicle data market is worth between US$11.6bn and US$92.6bn.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>This model estimates the value of vehicle data, but a lack of academic references for individual inputs makes finding reliable inputs difficult. The model performance is limited by the accuracy of the authors’ assumptions.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>The proposed model demonstrates that connected vehicle data has higher value than people and companies are aware of, and therefore we must secure these data and establish comprehensive rules pertaining to data ownership and stewardship.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Social implications</jats:title><jats:p>Estimating the value of data of vehicle data will help companies understand the importance of responsible data stewardship, as well as drive individuals to become more responsible digital citizens.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>This is the first paper to propose a model for computing the monetary value of connected vehicle data, as well as the first paper to provide an estimate of this value.</jats:p></jats:sec> Value in vehicles: economic assessment of automotive data Digital Policy, Regulation and Governance |
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10.1108/dprg-05-2018-0025 |
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Digital Policy, Regulation and Governance |
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| title |
Value in vehicles: economic assessment of automotive data |
| title_unstemmed |
Value in vehicles: economic assessment of automotive data |
| title_full |
Value in vehicles: economic assessment of automotive data |
| title_fullStr |
Value in vehicles: economic assessment of automotive data |
| title_full_unstemmed |
Value in vehicles: economic assessment of automotive data |
| title_short |
Value in vehicles: economic assessment of automotive data |
| title_sort |
value in vehicles: economic assessment of automotive data |
| topic |
Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems |
| url |
http://dx.doi.org/10.1108/dprg-05-2018-0025 |
| publishDate |
2018 |
| physical |
513-527 |
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<jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>The purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>The authors provide a taxonomy for data within connected vehicles, as well as for actors that value such data. The authors create a monetary value model for different data generation scenarios from the perspective of multiple actors.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>Actors value data differently depending on whether the information is kept within the vehicle or on peripheral devices. The model shows the US connected vehicle data market is worth between US$11.6bn and US$92.6bn.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>This model estimates the value of vehicle data, but a lack of academic references for individual inputs makes finding reliable inputs difficult. The model performance is limited by the accuracy of the authors’ assumptions.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>The proposed model demonstrates that connected vehicle data has higher value than people and companies are aware of, and therefore we must secure these data and establish comprehensive rules pertaining to data ownership and stewardship.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Social implications</jats:title><jats:p>Estimating the value of data of vehicle data will help companies understand the importance of responsible data stewardship, as well as drive individuals to become more responsible digital citizens.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>This is the first paper to propose a model for computing the monetary value of connected vehicle data, as well as the first paper to provide an estimate of this value.</jats:p></jats:sec> |
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| author | Soley, Alexander M., Siegel, Joshua E., Suo, Dajiang, Sarma, Sanjay E. |
| author_facet | Soley, Alexander M., Siegel, Joshua E., Suo, Dajiang, Sarma, Sanjay E., Soley, Alexander M., Siegel, Joshua E., Suo, Dajiang, Sarma, Sanjay E. |
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| description | <jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>The purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>The authors provide a taxonomy for data within connected vehicles, as well as for actors that value such data. The authors create a monetary value model for different data generation scenarios from the perspective of multiple actors.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>Actors value data differently depending on whether the information is kept within the vehicle or on peripheral devices. The model shows the US connected vehicle data market is worth between US$11.6bn and US$92.6bn.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>This model estimates the value of vehicle data, but a lack of academic references for individual inputs makes finding reliable inputs difficult. The model performance is limited by the accuracy of the authors’ assumptions.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>The proposed model demonstrates that connected vehicle data has higher value than people and companies are aware of, and therefore we must secure these data and establish comprehensive rules pertaining to data ownership and stewardship.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Social implications</jats:title><jats:p>Estimating the value of data of vehicle data will help companies understand the importance of responsible data stewardship, as well as drive individuals to become more responsible digital citizens.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>This is the first paper to propose a model for computing the monetary value of connected vehicle data, as well as the first paper to provide an estimate of this value.</jats:p></jats:sec> |
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| spelling | Soley, Alexander M. Siegel, Joshua E. Suo, Dajiang Sarma, Sanjay E. 2398-5038 Emerald Management of Technology and Innovation Information Systems and Management Computer Networks and Communications Information Systems Management Information Systems http://dx.doi.org/10.1108/dprg-05-2018-0025 <jats:sec><jats:title content-type="abstract-subheading">Purpose</jats:title><jats:p>The purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Design/methodology/approach</jats:title><jats:p>The authors provide a taxonomy for data within connected vehicles, as well as for actors that value such data. The authors create a monetary value model for different data generation scenarios from the perspective of multiple actors.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Findings</jats:title><jats:p>Actors value data differently depending on whether the information is kept within the vehicle or on peripheral devices. The model shows the US connected vehicle data market is worth between US$11.6bn and US$92.6bn.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Research limitations/implications</jats:title><jats:p>This model estimates the value of vehicle data, but a lack of academic references for individual inputs makes finding reliable inputs difficult. The model performance is limited by the accuracy of the authors’ assumptions.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Practical implications</jats:title><jats:p>The proposed model demonstrates that connected vehicle data has higher value than people and companies are aware of, and therefore we must secure these data and establish comprehensive rules pertaining to data ownership and stewardship.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Social implications</jats:title><jats:p>Estimating the value of data of vehicle data will help companies understand the importance of responsible data stewardship, as well as drive individuals to become more responsible digital citizens.</jats:p></jats:sec><jats:sec><jats:title content-type="abstract-subheading">Originality/value</jats:title><jats:p>This is the first paper to propose a model for computing the monetary value of connected vehicle data, as well as the first paper to provide an estimate of this value.</jats:p></jats:sec> Value in vehicles: economic assessment of automotive data Digital Policy, Regulation and Governance |
| spellingShingle | Soley, Alexander M., Siegel, Joshua E., Suo, Dajiang, Sarma, Sanjay E., Digital Policy, Regulation and Governance, Value in vehicles: economic assessment of automotive data, Management of Technology and Innovation, Information Systems and Management, Computer Networks and Communications, Information Systems, Management Information Systems |
| title | Value in vehicles: economic assessment of automotive data |
| title_full | Value in vehicles: economic assessment of automotive data |
| title_fullStr | Value in vehicles: economic assessment of automotive data |
| title_full_unstemmed | Value in vehicles: economic assessment of automotive data |
| title_short | Value in vehicles: economic assessment of automotive data |
| title_sort | value in vehicles: economic assessment of automotive data |
| title_unstemmed | Value in vehicles: economic assessment of automotive data |
| topic | Management of Technology and Innovation, Information Systems and Management, Computer Networks and Communications, Information Systems, Management Information Systems |
| url | http://dx.doi.org/10.1108/dprg-05-2018-0025 |