Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data

Lv Bo; Zhi Yechao; Gu Qiaoling

doi:doi:10.11648/j.ajmse.20190404.12

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Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data

Lv Bo, Zhi Yechao, Gu Qiaoling

Published in American Journal of Management Science and Engineering (Volume 4, Issue 4)

Received: 11 October 2019 Published: 8 November 2019

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Abstract

In recent years, the technology incubation platform is facing a new ecological environment. The background of big data brought by cloud computing and big data has increased the random disturbance effect on technology incubation platform. The failure of some technology incubation platforms has caused academic controversies. This paper conducts theoretical research and empirical test for these academic controversies, and the empirical conclusions of this paper provide a more comprehensive and reasonable explanation for current academic controversies. In order to describe the failure phenomena of technology incubation platform, this paper innovatively proposes the concept of failure effects and failure coefficients, constructs failure effects model and deduces the failure mechanism formula by using the principle of Stochastic Frontier Analysis (SFA). On the basis of literature research, combined with the background characteristics of the big data, 4 dependent variables and 14 random influence variables were selected, and the Chinese technology incubator platform was taken as an example to empirically analyze failure effects model. The paper finds that the independent variables can be divided into three categories: positive, negative and partially irrelevant. When corresponding to negatively correlate variables or unrelated variables, dependent variables will show the failure phenomenon, that is, partial failure of technology incubation platform.

Published in	American Journal of Management Science and Engineering (Volume 4, Issue 4)
DOI	10.11648/j.ajmse.20190404.12
Page(s)	66-75
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2019. Published by Science Publishing Group

Keywords

Failure Effects, The Background of Big Data, Technology Incubation Platform, Stochastic Frontier Analysis (SFA), Mechanisms

References

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APA Style

Lv Bo, Zhi Yechao, Gu Qiaoling. (2019). Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data. American Journal of Management Science and Engineering, 4(4), 66-75. https://doi.org/10.11648/j.ajmse.20190404.12

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ACS Style

Lv Bo; Zhi Yechao; Gu Qiaoling. Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data. Am. J. Manag. Sci. Eng. 2019, 4(4), 66-75. doi: 10.11648/j.ajmse.20190404.12

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AMA Style

Lv Bo, Zhi Yechao, Gu Qiaoling. Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data. Am J Manag Sci Eng. 2019;4(4):66-75. doi: 10.11648/j.ajmse.20190404.12

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@article{10.11648/j.ajmse.20190404.12,
  author = {Lv Bo and Zhi Yechao and Gu Qiaoling},
  title = {Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data},
  journal = {American Journal of Management Science and Engineering},
  volume = {4},
  number = {4},
  pages = {66-75},
  doi = {10.11648/j.ajmse.20190404.12},
  url = {https://doi.org/10.11648/j.ajmse.20190404.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20190404.12},
  abstract = {In recent years, the technology incubation platform is facing a new ecological environment. The background of big data brought by cloud computing and big data has increased the random disturbance effect on technology incubation platform. The failure of some technology incubation platforms has caused academic controversies. This paper conducts theoretical research and empirical test for these academic controversies, and the empirical conclusions of this paper provide a more comprehensive and reasonable explanation for current academic controversies. In order to describe the failure phenomena of technology incubation platform, this paper innovatively proposes the concept of failure effects and failure coefficients, constructs failure effects model and deduces the failure mechanism formula by using the principle of Stochastic Frontier Analysis (SFA). On the basis of literature research, combined with the background characteristics of the big data, 4 dependent variables and 14 random influence variables were selected, and the Chinese technology incubator platform was taken as an example to empirically analyze failure effects model. The paper finds that the independent variables can be divided into three categories: positive, negative and partially irrelevant. When corresponding to negatively correlate variables or unrelated variables, dependent variables will show the failure phenomenon, that is, partial failure of technology incubation platform.},
 year = {2019}
}

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TY  - JOUR
T1  - Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data
AU  - Lv Bo
AU  - Zhi Yechao
AU  - Gu Qiaoling
Y1  - 2019/11/08
PY  - 2019
N1  - https://doi.org/10.11648/j.ajmse.20190404.12
DO  - 10.11648/j.ajmse.20190404.12
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 66
EP  - 75
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20190404.12
AB  - In recent years, the technology incubation platform is facing a new ecological environment. The background of big data brought by cloud computing and big data has increased the random disturbance effect on technology incubation platform. The failure of some technology incubation platforms has caused academic controversies. This paper conducts theoretical research and empirical test for these academic controversies, and the empirical conclusions of this paper provide a more comprehensive and reasonable explanation for current academic controversies. In order to describe the failure phenomena of technology incubation platform, this paper innovatively proposes the concept of failure effects and failure coefficients, constructs failure effects model and deduces the failure mechanism formula by using the principle of Stochastic Frontier Analysis (SFA). On the basis of literature research, combined with the background characteristics of the big data, 4 dependent variables and 14 random influence variables were selected, and the Chinese technology incubator platform was taken as an example to empirically analyze failure effects model. The paper finds that the independent variables can be divided into three categories: positive, negative and partially irrelevant. When corresponding to negatively correlate variables or unrelated variables, dependent variables will show the failure phenomenon, that is, partial failure of technology incubation platform.
VL  - 4
IS  - 4
ER  -

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Author Information

Lv Bo

Business School, Beijing Wuzi University, Beijing, China
Zhi Yechao

Business School, Beijing Wuzi University, Beijing, China
Gu Qiaoling

Business School, Beijing Wuzi University, Beijing, China

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Plain Text BibTeX RIS

APA Style

Lv Bo, Zhi Yechao, Gu Qiaoling. (2019). Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data. American Journal of Management Science and Engineering, 4(4), 66-75. https://doi.org/10.11648/j.ajmse.20190404.12

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ACS Style

Lv Bo; Zhi Yechao; Gu Qiaoling. Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data. Am. J. Manag. Sci. Eng. 2019, 4(4), 66-75. doi: 10.11648/j.ajmse.20190404.12

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AMA Style

Lv Bo, Zhi Yechao, Gu Qiaoling. Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data. Am J Manag Sci Eng. 2019;4(4):66-75. doi: 10.11648/j.ajmse.20190404.12

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@article{10.11648/j.ajmse.20190404.12,
  author = {Lv Bo and Zhi Yechao and Gu Qiaoling},
  title = {Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data},
  journal = {American Journal of Management Science and Engineering},
  volume = {4},
  number = {4},
  pages = {66-75},
  doi = {10.11648/j.ajmse.20190404.12},
  url = {https://doi.org/10.11648/j.ajmse.20190404.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmse.20190404.12},
  abstract = {In recent years, the technology incubation platform is facing a new ecological environment. The background of big data brought by cloud computing and big data has increased the random disturbance effect on technology incubation platform. The failure of some technology incubation platforms has caused academic controversies. This paper conducts theoretical research and empirical test for these academic controversies, and the empirical conclusions of this paper provide a more comprehensive and reasonable explanation for current academic controversies. In order to describe the failure phenomena of technology incubation platform, this paper innovatively proposes the concept of failure effects and failure coefficients, constructs failure effects model and deduces the failure mechanism formula by using the principle of Stochastic Frontier Analysis (SFA). On the basis of literature research, combined with the background characteristics of the big data, 4 dependent variables and 14 random influence variables were selected, and the Chinese technology incubator platform was taken as an example to empirically analyze failure effects model. The paper finds that the independent variables can be divided into three categories: positive, negative and partially irrelevant. When corresponding to negatively correlate variables or unrelated variables, dependent variables will show the failure phenomenon, that is, partial failure of technology incubation platform.},
 year = {2019}
}

Copy | Download

TY  - JOUR
T1  - Reasons for the Failure of Technology Incubator - Failure Mechanism and Empirical Study of Technology Incubation Platform Under the Background of Big Data
AU  - Lv Bo
AU  - Zhi Yechao
AU  - Gu Qiaoling
Y1  - 2019/11/08
PY  - 2019
N1  - https://doi.org/10.11648/j.ajmse.20190404.12
DO  - 10.11648/j.ajmse.20190404.12
T2  - American Journal of Management Science and Engineering
JF  - American Journal of Management Science and Engineering
JO  - American Journal of Management Science and Engineering
SP  - 66
EP  - 75
PB  - Science Publishing Group
SN  - 2575-1379
UR  - https://doi.org/10.11648/j.ajmse.20190404.12
AB  - In recent years, the technology incubation platform is facing a new ecological environment. The background of big data brought by cloud computing and big data has increased the random disturbance effect on technology incubation platform. The failure of some technology incubation platforms has caused academic controversies. This paper conducts theoretical research and empirical test for these academic controversies, and the empirical conclusions of this paper provide a more comprehensive and reasonable explanation for current academic controversies. In order to describe the failure phenomena of technology incubation platform, this paper innovatively proposes the concept of failure effects and failure coefficients, constructs failure effects model and deduces the failure mechanism formula by using the principle of Stochastic Frontier Analysis (SFA). On the basis of literature research, combined with the background characteristics of the big data, 4 dependent variables and 14 random influence variables were selected, and the Chinese technology incubator platform was taken as an example to empirically analyze failure effects model. The paper finds that the independent variables can be divided into three categories: positive, negative and partially irrelevant. When corresponding to negatively correlate variables or unrelated variables, dependent variables will show the failure phenomenon, that is, partial failure of technology incubation platform.
VL  - 4
IS  - 4
ER  -

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