Intellectual capital disclosure: high-tech versus traditional sector companies

被引:34
|
作者
Sonnier, Blaise M. [1 ]
机构
[1] Florida Int Univ, Sch Accounting, Coll Business Adm, Miami, FL 33199 USA
关键词
Intellectual capital; Intangible assets; Disclosure;
D O I
10.1108/14691930810913230
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose - The purpose of this study is to compare the level of intellectual capital disclosure (ICD) of firms in the high technology and traditional sectors of the economy. Design/methodology/approach - In order to provide a framework to evaluate the level of disclosure of the different categories of intellectual capital (IC), the author develops an IC model based on an integration of the resource-based view (RBV) of the firm, the knowledge management, and IC literature. The model is called the RBV IC model. Content analysis was conducted using the SEC Form 10-K annual reports of 143 high-technology companies (HTCs) and 141 traditional sector companies (TSCs) USpublicly traded firms for fiscal year 2000 and 2004. The components of IC as delineated in the RBV IC model are the subject of the analysis with the frequency of disclosure being used as the measure of disclosure. Findings - HTCs had a higher frequency of disclosure of customer capital, organizational capital, human capital, and intellectual property than TSCs. Regarding supplier capital, the data were inconclusive. HTCs had an overall higher level of ICD than TSCs both in fiscal years 2000 and 2004. Research limitations/implications - The frequency of the use of words or phrases alone is used as the measure of the level of ICD. Originality/value - This is the first study to compare the level of ICD of high tech and traditional sector US publicly traded companies. The results have significant implications for setting standards of disclosure in that it supports the argument that high-tech companies may be providing higher levels of ICD because of the failure (actual or perceived) of the traditional accounting model to provide value relevant information about a company's IC.
引用
收藏
页码:705 / +
页数:20
相关论文
共 50 条
  • [31] Social Capital and the Linkages of High-Tech Companies to the Military Defense System: Is there a Signaling Mechanism?
    Benson Honig
    Miri Lerner
    Yoel Raban
    Small Business Economics, 2006, 27 : 419 - 437
  • [32] The effectiveness of public venture capital in supporting the investments of European young high-tech companies
    Bertoni, Fabio
    Croce, Annalisa
    Guerini, Massimiliano
    ENTREPRENEURIAL BUSINESS AND SOCIETY: FRONTIERS IN EUROPEAN ENTREPRENEURSHIP RESEARCH, 2013, : 79 - 100
  • [33] Social capital and the linkages of high-tech companies to the military defense system: Is there a signaling mechanism?
    Honig, Benson
    Lerner, Miri
    Raban, Yoel
    SMALL BUSINESS ECONOMICS, 2006, 27 (4-5) : 419 - 437
  • [34] The Role of Firm Characteristics in Voluntary Disclosure of IC Information and Its Importance for High-Tech Companies
    Rep, Ana
    Zager, Katarina
    Oliveira, Cidalia
    JOURNAL OF INFORMATION AND ORGANIZATIONAL SCIENCES, 2019, 43 (02) : 185 - 209
  • [35] The Role of Intellectual Capital and Tangible Resources on Competitive Advantages in Chinese High-tech Industry
    Zhang, Xianfeng
    Pi, Shenglei
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT, EDUCATION, INFORMATION AND CONTROL, 2015, 125 : 125 - 129
  • [36] Exploring the Presales Process in High-Tech Companies
    Abdelaziz M.
    Khalil T.
    IEEE Engineering Management Review, 2023, 51 (03): : 51 - 58
  • [37] Economic Assessment of Informatization of High-Tech Companies
    A. A. Kambarov
    A. M. Kambarov
    Russian Engineering Research, 2024, 44 (11) : 1683 - 1686
  • [38] Mechanisms of Interaction of the University with High-Tech Companies
    Krylova, E.
    Borovin, Y.
    Shlyapin, A.
    2015 IV Forum Strategic Partnership of Universities and Enterprises of Hi-Tech Branches (Science. Education. Innovations), 2015, : 9 - 10
  • [39] Deep Technology Tracing for High-tech Companies
    Wu, Han
    Zhang, Kun
    Lv, Guangyi
    Liu, Qi
    Yu, Runlong
    Zhao, Weihao
    Chen, Enhong
    Ma, Jianhui
    2019 19TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2019), 2019, : 1396 - 1401
  • [40] DEVELOPMENT OF HIGH-TECH ENGINEERING COMPANIES IN RUSSIA
    Abrashkin, Mikhail
    Veselovsky, Mikhail
    Safrankova, Jana
    11TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS, 2017, : 1 - 9