An Empirical Analysis of the Relationship between Capital Structure and Corporate Performance—Taking Listed Companies in the Information Technology Industry as an Example

2021 ◽  
Vol 11 (06) ◽  
pp. 552-561
Author(s):  
薇 王
Keyword(s):  
Information Technology ◽  
Capital Structure ◽  
Empirical Analysis ◽  
Corporate Performance ◽  
Listed Companies ◽  
Information Technology Industry ◽  
Technology Industry ◽  
The Relationship

One Foot in Each Camp: The Dual Identification of Contract Workers

2005 ◽  
Vol 50 (1) ◽  
pp. 68-99 ◽  
Author(s):  
Elizabeth George ◽  
Prithviraj Chattopadhyay
Keyword(s):  
Information Technology ◽  
Social Relations ◽  
Organizational Identification ◽  
Information Technology Industry ◽  
Work Organizations ◽  
Contract Workers ◽  
Technology Industry ◽  
The Relationship ◽  
Dual Identification

We examine the organizational identification of contract workers who are associated with two organizations, their primary employer and their client. We conducted a study of contract workers in the information technology industry to address three questions: (1) What are the antecedents of contract workers' identification with the work organizations with which they are associated? (2) Do these antecedents differentially predict identification with each of the target organizations? and (3) What is the relationship between contract workers' identification with their employing organization and their identification with their client organization? Results indicate that contract workers identify with both the employing and client organizations based on perceived characteristics of the organization as well as social relations within the organization. Perceived characteristics of the organization are more closely related with identification with the employer, and social relations variables are more closely related with identification with the client. Contract workers are more likely to identify with both their client and their employing organization when the two are perceived to be similar on key attributes.

scholarly journals Relationship between Company's Intellectual Capital and Performance

Economics ◽  
2015 ◽  
pp. 728-746 ◽  
Author(s):  
Karam Pal Narwal ◽  
Sushila Soriya
Keyword(s):  
Information Technology ◽  
Financial Reporting ◽  
Intellectual Capital ◽  
Value Added ◽  
Regression Equation ◽  
Information Technology Industry ◽  
Technology Industry ◽  
Time Period ◽  
And Performance ◽  
The Relationship

This chapter examines the relationship between Financial Reporting of Intellectual Capital and Company's Performances in Indian Information Technology Industry. The sample consisted of 60 companies listed on NSE for a time period of 1999-00 to 2008-09. Value-Added Intellectual Coefficient (VAICTM) method developed by Pulic (1998) was used for the analysis of the data. The chapter uses VAICTM model and regression equation for the evaluation of intellectual capital and their relationship with productivity, profitability, and market valuation of the companies. The result of the chapter supports the hypothesis that profitability of the company can be explained by the intellectual capital. However, there is no significant association of intellectual capital with productivity and market capitalization of the companies for the selected time period of year 1999-00 to 2008-09.

scholarly journals Personality as Predictor of Organisational Citizenship Behaviour: A Study in the Indian Information Technology Industry

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Ujjal Mukherjee ◽  
Vinayak Bhat
Keyword(s):  
Information Technology ◽  
Linear Regression ◽  
Personality Traits ◽  
Big Five ◽  
Pearson Correlation ◽  
Information Technology Industry ◽  
Technology Industry ◽  
Personal Bias ◽  
The Relationship ◽  
Item Scale

The study concentrates on the important dimensions of personality traits and their influence on organisational citizenship behaviour. 169 engineers working in the IT sector of small and medium capital companies, with two or more years of experience in the current organisation is chosen as the sample for this study. Personality traits are measured using Big-Five Inventory (BFI) developed by John, Donahue, and Kentle, 1991; Goldberg, 1992; Costa and McCrae (1992). Organisation Citizenship Behaviour was measured using the 24-item scale created by Podsakoff et al (1990). Pearson correlation, linear regression and ANOVA are used to analyse the data. The regression statistics revealed that the relationship between ‘personality traits’ and ‘organisational citizenship behaviour’ is significant. The key findings were that personality traits like extraversion, conscientiousness and agreeableness has a significant impact on organisational citizenship behaviour. The research sample was geographically limited. The study is quantitative and may be inadequate in accounting for the personal bias of respondents.

Sign in / Sign up

Export Citation Format

Share Document