Analyze firms’ market valuation and operational performance by social network variables
碩士 === 國立中山大學 === 財務管理學系研究所 === 107 === This paper investigates how network structural measures─network constraint, information centrality, and integration centrality─affect firms’ market valuation and operational performance. Using major customers and financial data from COMPUSTAT for the period 19...
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ndltd-TW-107NSYS53050162019-09-17T03:40:10Z http://ndltd.ncl.edu.tw/handle/73syvv Analyze firms’ market valuation and operational performance by social network variables 以社會網絡變數分析公司市場評價及營運績效 Hsiang-Ju Li 李相儒 碩士 國立中山大學 財務管理學系研究所 107 This paper investigates how network structural measures─network constraint, information centrality, and integration centrality─affect firms’ market valuation and operational performance. Using major customers and financial data from COMPUSTAT for the period 1998-2013, this study first concludes that network constraint and information centrality are negatively associated with firms’ market valuation. However, firms with high integration centrality can enhance their market valuation. In addition, firms with high network constraint can enhance their operational performance, in which the enhancement of operational performance can be attributed to the improvement of network constraint on assets turnover. Lastly, we find that all three network structure variables play positive impacts on firms’ assets turnover. Shih-Sian Jhang 張世賢 2019 學位論文 ; thesis 47 zh-TW |
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碩士 === 國立中山大學 === 財務管理學系研究所 === 107 === This paper investigates how network structural measures─network constraint, information centrality, and integration centrality─affect firms’ market valuation and operational performance. Using major customers and financial data from COMPUSTAT for the period 1998-2013, this study first concludes that network constraint and information centrality are negatively associated with firms’ market valuation. However, firms with high integration centrality can enhance their market valuation. In addition, firms with high network constraint can enhance their operational performance, in which the enhancement of operational performance can be attributed to the improvement of network constraint on assets turnover. Lastly, we find that all three network structure variables play positive impacts on firms’ assets turnover.
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Shih-Sian Jhang |
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Shih-Sian Jhang Hsiang-Ju Li 李相儒 |
author |
Hsiang-Ju Li 李相儒 |
spellingShingle |
Hsiang-Ju Li 李相儒 Analyze firms’ market valuation and operational performance by social network variables |
author_sort |
Hsiang-Ju Li |
title |
Analyze firms’ market valuation and operational performance by social network variables |
title_short |
Analyze firms’ market valuation and operational performance by social network variables |
title_full |
Analyze firms’ market valuation and operational performance by social network variables |
title_fullStr |
Analyze firms’ market valuation and operational performance by social network variables |
title_full_unstemmed |
Analyze firms’ market valuation and operational performance by social network variables |
title_sort |
analyze firms’ market valuation and operational performance by social network variables |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/73syvv |
work_keys_str_mv |
AT hsiangjuli analyzefirmsmarketvaluationandoperationalperformancebysocialnetworkvariables AT lǐxiāngrú analyzefirmsmarketvaluationandoperationalperformancebysocialnetworkvariables AT hsiangjuli yǐshèhuìwǎngluòbiànshùfēnxīgōngsīshìchǎngpíngjiàjíyíngyùnjīxiào AT lǐxiāngrú yǐshèhuìwǎngluòbiànshùfēnxīgōngsīshìchǎngpíngjiàjíyíngyùnjīxiào |
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