Reasons for the genesis of high-tech regions—Theoretical explanation and empirical evidence

Geoforum ◽  
1996 ◽  
Vol 27 (2) ◽  
pp. 205-223 ◽  
Author(s):  
Rolf Sternberg
Keyword(s):  
Empirical Evidence ◽  
Theoretical Explanation ◽  
High Tech

Consumer Preference for the Latest Technological Offering

2014 ◽  
pp. 93-107
Author(s):  
Derrick S. Boone Sr.
Keyword(s):  
Technological Change ◽  
Empirical Evidence ◽  
Consumer Preference ◽  
Future Generation ◽  
Technological Advance ◽  
Relative Advantage ◽  
High Tech ◽  
Purchase Decisions ◽  
Expectation Formation ◽  
Price Decline

Prior research has shown that when making high tech purchase decisions, consumers consider not only the relative advantage afforded by currently available products, but also the relative advantage expected from future generation products. Additionally, empirical evidence suggests that prices for high tech products often decline faster than the technology advances. This chapter takes both these findings into account and investigates the antecedents of expectation formation and how consumer purchase decisions for high- and low-tech products are impacted by asymmetrical rates of technological advance and price decline. Although consumers generally prefer the latest technological generation of a product, level of technological sophistication (high- vs. low-tech), rate of technological change and price decline, and expectations regarding future product introductions, based on familiarity with past product introductions, were found to moderate the effect of technological generation on preference.

Does usage of enterprise social media affect employee turnover? Empirical evidence from Chinese companies

2019 ◽  
Vol 29 (4) ◽  
pp. 970-992 ◽  
Author(s):  
Lu Yingjie ◽  
Shasha Deng ◽  
Taotao Pan
Keyword(s):  
Social Media ◽  
Theoretical Model ◽  
Empirical Evidence ◽  
Employee Turnover ◽  
Theoretical Research ◽  
High Tech ◽  
Content Type ◽  
Enterprise Social Media ◽  
Job Levels ◽  
Social Use

Purpose The purpose of this paper is to examine how the usage of enterprise social media (ESM) affects eventual employee turnover. Design/methodology/approach This study developed a theoretical model based on the proposition that different ESM usage behaviors (utilitarian use, hedonic use and social use) have different effects on employee turnover, and job type and job level can moderate the effect of ESM usage on turnover. The model was examined empirically using 1,791 employee samples from a large high-tech manufacturing enterprise deploying ESM. Findings The results indicate that the utilitarian and social use of ESM has negative effects on turnover, but the hedonic use of ESM has positive effects on turnover. Furthermore, for employees working in different job types and job levels, there are significant differences concerning the effect of ESM usage on their turnover. Practical implications ESM managers should encourage employees to use ESM for utilitarian needs and social support but restrict excessive use of ESM for leisure. In addition, different ESM use policies depending upon job types and job levels could be adopted to retain valuable employees. Originality/value Few studies have focused on how usage of ESM affects eventual employee turnover. Given the lack of theoretical research and empirical evidence, the authors developed a theoretical model and conducted an empirical study to fill the research gap.

Antidumping Investigations and the Pass-Through of Antidumping Duties and Exchange Rates: Reply

2010 ◽  
Vol 100 (3) ◽  
pp. 1283-1284 ◽  
Author(s):  
Bruce A Blonigen ◽  
Stephen E Haynes
Keyword(s):  
Exchange Rate ◽  
Exchange Rates ◽  
Empirical Evidence ◽  
Structural Breaks ◽  
Theoretical Explanation ◽  
Antidumping Duties ◽  
Pass Through ◽  
Exchange Rate Pass Through ◽  
The U.S

This reply responds to a comment that correctly identifies an invalid assumption in our original article that antidumping (AD) duties are subtracted from the U.S. price when calculating AD duties in administrative reviews. While this point invalidates our theoretical explanation and empirical evidence on the magnitude of AD duty pass-through, it does not affect our original article's theory or empirical evidence on the magnitude of exchange rate pass-through, or the presence of structural breaks in both the AD duty and exchange-rate pass-through coefficients stemming from AD investigations and orders.

Sales and Employment Changes in Entrepreneurial Ventures with Family Ownership: Empirical Evidence from High-Tech Industries

2014 ◽  
Vol 52 (2) ◽  
pp. 226-245 ◽  
Author(s):  
Massimo G. Colombo ◽  
Alfredo De Massis ◽  
Evila Piva ◽  
Cristina Rossi-Lamastra ◽  
Mike Wright
Keyword(s):  
Empirical Evidence ◽  
High Tech ◽  
Family Ownership ◽  
Entrepreneurial Ventures

scholarly journals Another R&D Anomaly?

2014 ◽  
Vol 30 (4) ◽  
pp. 1211
Author(s):  
C. Catherine Chiang ◽  
Yilun Shi ◽  
Lin Zhao
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Empirical Evidence ◽  
High Tech ◽  
Ongoing Debate ◽  
Bankruptcy Risk ◽  
Earnings Response Coefficients ◽  
Additional Input ◽  
Earnings Response ◽  
Market Status

In this paper, we investigate the relation between stock returns and R&D spending under different market conditions. Our empirical evidence suggests that investors response to R&D activities varies according to stock market status. Following the conventional definitions of markets, we first categorize the market into four different states: slightly up (up by 0-20%), bull (up by more than 20%), slightly down (down by 0-20%), and bear (down by more than 20%). Using firms in high-tech industries from 1992 to 2009 as our sample, we show that investors value R&D spending consistently positively only when the market (proxied by the S&P 500) is up. R&D is valued less in the downward market and R&D response coefficients even turn negative during bear markets. However, earnings response coefficients are consistently positive regardless of market status. The results remain unchanged after we control for beta, bankruptcy risk, size, and different measuring windows. Our findings cannot be explained by risk-based hypothesis. The study advances our understanding of the relation between stock returns and R&D activities by empirically documenting its variations in market valuation across different market states; particularly, we found empirical evidence that R&D response coefficients in the down markets are negative. The study also provides additional input to the ongoing debate on finding the appropriate accounting treatment for intangible assets.

scholarly journals Eco-Innovation Influencers: Unveiling the Role of Lean Management Principles Adoption

2019 ◽  
Vol 11 (8) ◽  
pp. 2225 ◽  
Author(s):  
Leitão ◽  
Brito ◽  
Cubico
Keyword(s):  
Conceptual Model ◽  
Empirical Evidence ◽  
Secondary Data ◽  
Total Sample ◽  
High Tech ◽  
Lean Management ◽  
Community Innovation Survey ◽  
Determinant Factors ◽  
Technological Intensity ◽  
Different Levels

This study analyzes the determinant factors of eco-innovation, considering business units with different levels of technological intensity (high technology versus low technology). It aims, in the first instance, to complement the approach on the determinants of eco-innovation in the existent literature by incorporating the novelty related to the analysis of the effects arising from the adoption of the lean management principles. Specifically, it aims to analyze the effects of the previously referred to determinant factors both on the economic performance and on the innovative performance of Portuguese industrial and service companies with different levels of technological intensity (high-tech versus low-tech). The conceptual model presented is of an innovative nature, since it includes four groups of determinant factors present in the literature, namely technology, market, public policies, and cooperation relationships, and adds a fifth group of determinant factors still to be explored empirically concerning the adoption of lean management principles. In the empirical approach, five research hypotheses arising from the literature review are tested, using secondary data collected from the Community Innovation Survey (CIS)—CIS 2010 for a total sample of 334 companies, made up of 95 high-tech companies and 239 low-tech companies. The conceptual model is tested using a logistic regression method, which indicated a suitable accuracy and reliability for the purposes of empirical tests. The empirical evidence confirms that most of the groups of determinants previously identified in the literature have a significant influence on eco-innovation. In addition, the empirical evidence obtained here indicates a positive and significant effect of lean management principles on eco-innovation.

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