透過您的圖書館登入
IP:3.144.230.138
  • 期刊
  • OpenAccess

從公司與顧客的認知價值初探企業潛在無形資產:以自然語言處理的方法為應用

Exploring Corporate Latent Intangible Assets in Firms' and Customers' Perceived Values: The Application of Natural Language Processing

摘要


近年無形資產成為創造企業競爭優勢的重要關鍵之一,也使得非財務資訊成為探索企業無形資產的重要管道。現階段公司資產價值的評價方式大多數採用量性方法進行衡量。本研究則嘗試透過企業關係人的第一手資訊,公司年報的「致股東報告書」及消費者的網路口碑,以HTC為分析個案,從2009年至2013年高、低銷售成長期間的非財務資訊,考察企業與顧客的認知價值,從中發掘HTC獲利的潛在無形資產所在。另外為了考察其資產價值的真實性,本研究進一步檢討該無形資產的價值表現與產品銷售量之間的關聯性,其結果發現企業與顧客的認知價值差距越小,其資產價值越能反應公司的經營績效。本研究希望可以提供企業價值探索的另一種方法途徑。

並列摘要


In recent years, intangible assets have become a key factor in the creation of competitive advantages by enterprises. Nonfinancial information has become a crucial means to explore enterprises' intangible assets. Currently, quantitative approaches are typically adopted to evaluate and measure an enterprise's assets. However, this study sought to explore an enterprise's intangible assets by adopting qualitative methods, namely, by using first-hand information obtained from enterprise stakeholders, the enterprise's annual reports to shareholders, and consumers' online word-of-mouth. This study hoped to provide a new research method for the exploration of enterprises' asset values. To clearly understand the approach to and results of using nonfinancial information to explore intangible assets, HTC was adopted as a study case, and an analysis of its nonfinancial information during the period of high sales growth from 2009 to 2013was performed. By examining and comparing enterprise values and customer values, this study determined HTC's crucial assets that can be acquiring profits. Moreover, to understand the authenticity of the profit from asset values, this study investigated the relationship between asset value performance and product sales. The results showed that when the gap between the enterprise's and the customers' perceptions of asset values is small, asset values reflect an enterprise's operation performance and can serve as an approach for exploring and observing enterprise value.

參考文獻


大澤幸生、谷内田正彦Benson, N. E.(1999)。KeyGraph:語の共起グラフの分割統合によるキーワード抽出。電子通信学会誌論文誌。82(2),391-400。
中央研究院資訊科學所詞庫小組,2007,「中研院平衡語料庫詞類標記集」,http://ckipsvr.iis.sinica.edu.tw/, accessed on December 30, 2015. (Chinese Knowledge Information Processing Group Academia Sinica Institute of Information Science, 2007, “Part of Speech Tagging Sinica Corpus,” http://ckipsvr.iis.sinica.edu.tw/, accessed on December 30, 2015.)
王曰芬、宋爽、熊銘輝(2007)。基於共現分析的文本知識挖掘方法研究。圖書情報工作。51(4),66-70。
吉田知訊、間瀨心博、北村泰彥(2008)。質問応答Webサイトからの関連語ネットワークの自動抽出。電子情報通信学会技術研究報告。108(119),75-80。
朱博湧、林裕淩、李俊雄(2010)。無形資產價值創造之比較研究:以台灣電子零組件和電腦及週邊產業為例。科技管理學刊。15(3),1-24。

被引用紀錄


羅子修(2017)。應用文字探勘技術於消費者產品使用狀況之研究-以手機遊戲線上評論為例〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu201700232
Lin, C. H. (2017). 以文字探勘探討社群媒體文件分類之研究─以線上遊戲為例 [master's thesis, National Taipei University of Business]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0064-0201201815280103
俞昱至(2017)。探討高雄市複合式咖啡店顧客滿意度〔碩士論文,義守大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0074-2106201713344200

延伸閱讀