Technological Change, Decision Making and its Effects on Work in the Dutch Printing Industry

1983 ◽  
Vol 16 (22) ◽  
pp. 145-149
Author(s):  
J.J. Schwarz
Keyword(s):  
Decision Making ◽  
Technological Change ◽  
Printing Industry

scholarly journals Supply Response and Impact of Government-Supported Crops on the Texas Vegetable Industry

1993 ◽  
Vol 22 (1) ◽  
pp. 27-36 ◽  
Author(s):  
Fermin Ornelas ◽  
C. Richard Shumway
Keyword(s):  
Decision Making ◽  
Technological Change ◽  
Sequential Decision Making ◽  
Test Results ◽  
Sequential Decision ◽  
Supply Response ◽  
Significant Bias ◽  
Supply Functions

Supply functions, elasticity estimates, and nonjointness test results consistently indicated that few commodities compete economically in the production of six major Texas vegetables (cabbage, cantaloupes, carrots, onions, potatoes, and watermelons). Significant bias effects caused by government-supported commodities, fixed inputs, and technological change were observed and measured. Nonnested test results for the hypothesis of sequential decision making by vegetable producers were inconclusive, but they gave greater likelihood support to sequential than to contemporaneous decision making.

Improvement of Technological Modernization Using Behavioral Economics

2019 ◽  
Vol 9 (7) ◽  
pp. 1470
Author(s):  
Ademi KUSSAINOVA ◽  
Madina RAKHIMBERDINOVA ◽  
Oxana DENISSOVA ◽  
Gauhar TASPENOVA ◽  
Medet KONYRBEKOV
Keyword(s):  
Decision Making ◽  
Technological Change ◽  
Behavioral Economics ◽  
Organizational Support ◽  
Industrial Economy ◽  
Technological Modernization ◽  
The Republic ◽  
Post Industrial

The purpose of this publication is to explain the applying of behavioral economics tools in the process of the technological upgrading of the Republic of Kazakhstan to be implemented. We need to: define the concept of behavioral economics; to reveal and describe in what way tools of behavioral economics may be applied, their nature and impact in the process of technological upgrading on the types of management; to understand and explain three principles of decision-making, the algorithm to make choice by people, profitable and unprofitable choices. Two main types of a feedback are provided and explained: reinforcing and balancing feedback. In this article, it is required to find out what solutions are necessary for a post-industrial economy, what is constituted by methodological tools, which are required to implement the accelerated technological upgrading, and the subjects of organizational support of technological change.

scholarly journals EUR-ASSESS Project Subgroup Report on Coverage

1997 ◽  
Vol 13 (2) ◽  
pp. 287-332 ◽  
Author(s):  
Richard Cranovsky ◽  
Yves Matillon ◽  
David Banta
Keyword(s):  
Health Care ◽  
Decision Making ◽  
Technological Change ◽  
Health Technology Assessment ◽  
Technology Assessment ◽  
Health Technology ◽  
European Countries ◽  
Coverage Decision ◽  
Rapid Pace ◽  
Economic Constraints

The issue of health benefits coverage—and its relation to health technology assessment (HTA)—has gained increasing attention in recent years. Economic constraints on health care, as well as the rapid pace of technological change, have forced European countries to face difficult choices in providing such care. The active use of coverage decision making has been proposed as a tool to help rationalize health care, and HTA has been advocated as a necessary activity to improve coverage decisions.

scholarly journals Applying a Hybrid MCDM Model for Six Sigma Project Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Fu-Kwun Wang ◽  
Chen-Hsoung Hsu ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Six Sigma ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Project Selection ◽  
Printing Industry ◽  
Model Combining ◽  
Financial Benefits ◽  
Aspiration Levels ◽  
Network Process

Six Sigma is a project-driven methodology; the projects that provide the maximum financial benefits and other impacts to the organization must be prioritized. Project selection (PS) is a type of multiple criteria decision making (MCDM) problem. In this study, we present a hybrid MCDM model combining the decision-making trial and evaluation laboratory (DEMATEL) technique, analytic network process (ANP), and the VIKOR method to evaluate and improve Six Sigma projects for reducing performance gaps in each criterion and dimension. We consider the film printing industry of Taiwan as an empirical case. The results show that our study not only can use the best project selection, but can also be used to analyze the gaps between existing performance values and aspiration levels for improving the gaps in each dimension and criterion based on the influential network relation map.

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