In this work “How the technology interacts with the mathematical model and their parametric characteristics” is a fundamental question. Technologies are mutually effective and impressive. These effects are very evident in various fields, especially engineering and management, and its applications in industry, services and economics. Therefore, in the same way as other fields of action and react...

For the past 20 years scholars have found support for the thesis that knowledge spills over in geographical and technological proximity to the source of knowledge creation. It is the objective of this paper to examine whether this understanding of LKS can contribute to a greater understanding of emerging technologies and their geographical distribution. The paper examines this by studying the e...

Intra-industry spillovers from information technology investments have been cited as a potentially important driver of productivity growth. Using firm-level data to measure the sizes of these spillovers, however, can be challenging because of biases caused by 1) measurement error and 2) the difficulty in separating the effects of spillovers from the effects of shared technological opportunity. ...

Drawing on two waves of survey data conducted six months apart in 2006, this study examined the impacts of a team-level flexibility initiative (ROWE--results only work environment) on changes in the work-home spillover and health behavior of employees at the Midwest headquarters of a large U.S. corporation. Using cluster analysis, we identified three distinct baseline spillover constellations: ...

Ecological theory was used to develop a more expanded conceptualization of the work-family interface and to identify significant correlates of multiple dimensions of work-family spillover. Using data from employed adults participating in the National Survey of Midlife Development in the United States (N = 1,986), negative spillover from work to family, positive spillover from work to family, ne...

The aim of the study is to analyze shock and volatility spillover between BIST Finance, Industry, Technology, Tourism, Transportation, Food, Retail-Trade sectors. In this direction, daily data obtained January 5, 2010, December 4, 2020, were analyzed using a new method named TVP-VAR Diebold Yılmaz Spillover Index developed by Antonakakis et al. (2019). Our results indicate that industrial finan...