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Information Journal Paper

Title

Measuring intellectual capital to develop human resources The automotive companies

Pages

  151-163

Abstract

 Planning to manage intellectual capital for creating added value is a new approach which appealed to the managers of the state and private sectors. However only few organizations attempted to measure and manage intellectual capital. In this paper the goals of HR development according to intellectual capital measurement in auto-manufactures has been determined and some approaches have been presented. An exploring-descriptive method has been applied to investigate intellectual capital components (human, structure, customer). The population was 2200 and 219 of which has been selected as sample. Stratified sampling from different organization ranks has been opted. To gather data, Benits' questionnaire was used. Data has been analyzed with SPSS software using inferential and descriptive statistical method such as t-test single sample and ANOVA test. Results indicated that there is a considerable gap between current and intended situations. Thus it could be argued that human and structure capitals in current situations are higher than standard one but inferior in customer or relationship capital.

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    APA: Copy

    HAGHANI, MAHMOUD, sheibani, hasan, & karbasian, hasan. (2018). Measuring intellectual capital to develop human resources The automotive companies. JOURNAL OF NEW APPROACH IN EDUCATIONAL ADMINISTRATION, 9(2 (34) ), 151-163. SID. https://sid.ir/paper/168952/en

    Vancouver: Copy

    HAGHANI MAHMOUD, sheibani hasan, karbasian hasan. Measuring intellectual capital to develop human resources The automotive companies. JOURNAL OF NEW APPROACH IN EDUCATIONAL ADMINISTRATION[Internet]. 2018;9(2 (34) ):151-163. Available from: https://sid.ir/paper/168952/en

    IEEE: Copy

    MAHMOUD HAGHANI, hasan sheibani, and hasan karbasian, “Measuring intellectual capital to develop human resources The automotive companies,” JOURNAL OF NEW APPROACH IN EDUCATIONAL ADMINISTRATION, vol. 9, no. 2 (34) , pp. 151–163, 2018, [Online]. Available: https://sid.ir/paper/168952/en

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