EconPapers    
Economics at your fingertips  
 

Influence of Director Expertise on Capital Structure and Cash Holdings in High-Tech Firms

Subramanian Rama Iyer, Harikumar Sankaran and Steve T. Walsh

Technological Forecasting and Social Change, 2020, vol. 158, issue C

Abstract: Many “High-Tech” firms enjoy high market valuations despite negative earnings and low cash flows due in part to what many see as future bountiful earnings and cash flows, which is a cause for concern. How can corporate governance help? Do well-informed boards assist corporate success through better governance through their influence on financial policy: Capital Structure and Cash Holdings? We test these effects in “High-Tech firms” by segmenting firms into four levels based on technology intensity. We examine differences in board composition and the resultant influence on capital structure. Our fourteen-year sample period includes post-dotcom bubble years and post-Sarbanes-Oxley, which mandated the inclusion of financial experts on corporate boards. We defined two types of firm designated well-informed boards as a result of this analysis. We contribute to the literature in many ways. Using regression analysis and graph theory techniques, we found the educational makeup of high-tech firms to be significantly different from low-tech firms and that they approached capital structure with caution. Low-tech firms rely on board member network connectivity and agency theory's explicative powers.

Keywords: Board of Directors; Network Centrality; R&D (search for similar items in EconPapers)
JEL-codes: G3 G32 O30 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162518320493
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:158:y:2020:i:c:s0040162518320493

DOI: 10.1016/j.techfore.2020.120060

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:tefoso:v:158:y:2020:i:c:s0040162518320493