Race and Rehiring in the High-Tech Industry

1994 ◽  
Vol 22 (3) ◽  
pp. 43-54 ◽  
Author(s):  
Don Mar ◽  
Paul M. Ong

Previous research reveals that economic dislocation generates racial inequality because minorities suffer greater consequences from job displacement—longer unemployment duration and greater downward mobility. These outcomes, however, are conditional on being permanently laid off. This article examines the factors, including race, that influence whether or not a worker becomes displaced. More specifically, the article analyzes the probability of being rehired after an initial layoff using administrative data collected on workers laid off after the severe 1985 sectoral recession in Silicon Valley's semiconductor industry. The results from logit regressions show that, after controlling for observable worker and firm characteristics, black workers are less likely to be rehired than other workers.

2020 ◽  
Vol 19 (9) ◽  
pp. 1723-1735
Author(s):  
A.Yu. Pronin

Subject. The article investigates the program-targeted planning methodology, which is implemented in the Russian Federation and leading foreign countries, for high-tech industry development. Objectives. The aim is to identify the specifics of program-targeted planning for the development of high-tech industries, to shape programs and plans for innovative development in the Russian Federation and leading foreign countries. Methods. The study employs general scientific methods of systems analysis, including the statistical and logical analysis. Results. I reviewed methods of program-targeted planning, implemented by the world’s leading countries (the Russian Federation, United States of America, France, Great Britain, Netherlands, Norway, Japan, Canada), in the interests of the development of various high-tech sectors of the economy. The study established that the methodology of program-targeted management is an effective tool for resource allocation by various types of economic activities in accordance with national priorities. I developed proposals by priority areas for improving the methodology for program-targeted planning and management in the Russian Federation in modern economic conditions. Conclusions. The findings and presented proposals can be used to improve methods for program-targeted planning to develop high-tech sectors of the economy; to design various long-term programs and plans, reducing the risk of their implementation; to determine the ways and methods of sustainable socio-economic and innovative and technological development of the world's leading economies.


2021 ◽  
Vol 13 (10) ◽  
pp. 5467
Author(s):  
Barbara Grabinska ◽  
Dorota Kedzior ◽  
Marcin Kedzior ◽  
Konrad Grabinski

So far, CSR’s role in the high-tech industry is not fully explained by academic research, especially concerning the most burdensome obstacle to firms’ growth: acquiring debt financing. The paper aims to solve this puzzle and investigate whether young high-tech companies can attract more debt by engaging in CSR activity. To address the high-tech industry specificity, we divided CSR-reporting practice into three broad categories: employee, social, and environmental and analyzed their impact on the capital structure. Our sample consists of 92 firm-year observations covering the period 2014–2018. Using a regression method, we found out that only employee CSR plays a statistically significant role in shaping capital structure. We did not find evidence for the influence of the other types of CSR-reporting practices. The results suggest that employees are the key resource of high-tech companies, and, for this reason, they are at the management’s focus. This fact is visible at the financial reporting level and, as we interpret results, is also considered by credit providers. In a more general way, our results suggest that firms tend to choose CSR based on the importance of crucial resources.


Mathematics ◽  
2021 ◽  
Vol 9 (15) ◽  
pp. 1715
Author(s):  
Shih-Chia Chang ◽  
Ming-Tsang Lu ◽  
Mei-Jen Chen ◽  
Li-Hua Huang

Since its conception, corporate social responsibility (CSR) has seen continuous growth and become a highly discussed issue. In this paper, we propose an evaluation of how the COVID-19 pandemic could impact CSR applications. The pandemic has provided an opportunity for commerce to move on to being more authentic, to offer genuine CSR applications and to contribute toward dealing with pressing environmental and social issues. Hence, this purpose of the research is to obtain a better understanding of whether the integration of environment, social, corporate governance and economic (ESGE) aspects into CSR strategies can support sustainable development toward more sustainable growth during the COVID-19 pandemic. To meet this challenge, we offer a mixture multiple-criteria decision making (MCDM) model. Very few empirical studies have discussed CSR in the high-tech industry and proposed strategies and planning for ESGE efficiency. Using interviews with experts and a literature review, we identify the elements related to actual practices of the high-tech industry’s appraisal and the integrated MCDM techniques to suggest efficient enhancement models. The best worst method (BWM) and modified VIKOR are implemented to estimate the strategic weights and the gaps of the aspiration value. The results are valuable for classifying the priorities of CSR and are therefore helpful for those who are associated with high-tech industry management, practices and implementation.


2020 ◽  
Vol 12 (12) ◽  
pp. 5128
Author(s):  
Tsung-Chun Chen ◽  
Yenchun Jim Wu

Knowledge transfer is a strategy used by high-tech companies to acquire new knowledge and skills. Knowledge can be internally generated or externally sourced. The access to external knowledge is a quick fix, but the risks associated with reliance on external sources are often overlooked. However, not acquiring such knowledge is even riskier. There have been a slew of litigations in the semiconductor industry in recent years. The acquisition and assurance of intangible assets is an important issue. This paper posits that internal R&D should take into consideration the knowledge intensity and capital investment in the industry. This study focuses on the relationship between intangible assets and financial performance. It sourced the 2004 to 2016 financial data of semiconductor companies in Taiwan for panel data modeling and examined case studies for empirical validation. This study found that the higher the R&D intensity (RDI) in the value-added component of human capital, the better the financial performance of the company. RDI has a positive influence on the accumulation of human capital and financial performance metrics, and such influence is deferred. Meanwhile, human capital is a mediating factor in the relationship between RDI and financial performance. RDI is integral to the semiconductor industry’s pursuit of business sustainability.


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