Study on Interactive Relations between Enterprise Social Media and Decision Style Based on a vector Autoregressive Model

Mao, Jinrong; Alhamami, Mohammed

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Study on Interactive Relations between Enterprise Social Media and Decision Style Based on a vector Autoregressive Model

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Jul 15, 2022

Applied Mathematics and Nonlinear Sciences

Volume 8 (2023): Issue 1 (January 2023)

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Published Online: Jul 15, 2022

Page range: 881 - 892

Received: Feb 19, 2022

Accepted: Apr 21, 2022

DOI: https://doi.org/10.2478/amns.2022.2.0075

Keywords
Put here your keywords vector autoregressive model, Corporate social media, Interactive relationship, Topic extraction, Relationship matrix

This work is licensed under the Creative Commons Attribution 4.0 International License.

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Study on Interactive Relations between Enterprise Social Media and Decision Style Based on a vector Autoregressive Model

Published Online: Jul 15, 2022

Page range: 881 - 892

Received: Feb 19, 2022

Accepted: Apr 21, 2022

DOI: https://doi.org/10.2478/amns.2022.2.0075

Keywords
Put here your keywords vector autoregressive model, Corporate social media, Interactive relationship, Topic extraction, Relationship matrix

© 2023 Jinrong Mao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

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Study on Interactive Relations between Enterprise Social Media and Decision Style Based on a vector Autoregressive Model

Jinrong Mao

Mohammed Alhamami

Published Online: Jul 15, 2022

Page range: 881 - 892

Received: Feb 19, 2022

Accepted: Apr 21, 2022

DOI: https://doi.org/10.2478/amns.2022.2.0075

KeywordsPut here your keywords vector autoregressive model, Corporate social media, Interactive relationship, Topic extraction, Relationship matrix

© 2023 Jinrong Mao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1

FIG. 2

FIG. 3

FIG. 4

Keywords
Put here your keywords vector autoregressive model, Corporate social media, Interactive relationship, Topic extraction, Relationship matrix