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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Main Authors: Hsiang-Ju Li, 李相儒
Other Authors: Shih-Sian Jhang
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/73syvv
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spelling 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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language zh-TW
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sources NDLTD
description 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.
author2 Shih-Sian Jhang
author_facet 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
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AT lǐxiāngrú yǐshèhuìwǎngluòbiànshùfēnxīgōngsīshìchǎngpíngjiàjíyíngyùnjīxiào
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