Technology Deployment Model

2005 ◽  
Author(s):  
Ali Al Wardi ◽  
Abdulsattar Mohd Al Murshidi ◽  
Clement Edwards
Keyword(s):  
Technology Deployment

scholarly journals Online Recruitment: A Cognitive Perspective of Job Seekers in Nepal

2018 ◽  
Vol 2 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Bishwash Raj Poudel
Keyword(s):  
Social Cognitive ◽  
Careful Consideration ◽  
Outcome Variable ◽  
It Adoption ◽  
Job Seekers ◽  
Technology Deployment ◽  
Use Of Technology ◽  
Online Recruitment ◽  
Facilitating Conditions ◽  
The Impact

IT adoption is more than just technology deployment; it requires careful consideration of social-cognitive factors. With this premise, in this paper, the behavioral intention of job seekers to use online recruitment services in Nepalese context has been examined on the basis of five determinants: Performance expectancy, Effort expectancy, Subjective Norms, Objective Norms and Facilitating conditions. The impact of predictor on outcome variable is examined using multiple regression analysis. The unified theory of acceptance and use of technology (UTAUT) has been used as basic foundation of the study.

scholarly journals Status of Marine Current Energy Conversion in China

2021 ◽  
Vol 4 (1) ◽  
pp. 11-23
Author(s):  
Hongwei Liu ◽  
AbuBakr S. Bahaj
Keyword(s):  
Energy Conversion ◽  
Policy Framework ◽  
Chinese Government ◽  
Renewable Energy Systems ◽  
Technology Deployment ◽  
Prototype Development ◽  
Marine Energy ◽  
The Status ◽  
Marine Current ◽  
Current Energy

Marine current energy conversion (MCEC) technologies are promising renewable energy systems with some full scale and semi-commercial turbines constructed and deployed in several countries around the world. In this work, we present the status of marine current energy and systems in China and policies geared to support these. Over the past ten years the Chinese government has provided a policy framework and financial supports for the development of MCEC technologies of various design philosophies which has resulted in significant technology deployment at sea. A review of these technologies – which have turbine capacities in the range 20 kW to 650 kW, mostly tested at sea – is presented in the paper. In addition, the paper also discusses Chinese plans for marine energy test sites at sea to support prototype development and testing and concludes with a view of future prospects for the marine energy technology deployment in China.

Real Option Methodology for the Evaluation of IT Projects

2007 ◽  
Vol 8 (1) ◽  
pp. 71-88
Author(s):  
Efthymios Papadopoulos ◽  
Georgios Dounias
Keyword(s):  
Real Option ◽  
Net Present Value ◽  
New Technology ◽  
Full Range ◽  
Present Value ◽  
It Projects ◽  
Innovative Strategy ◽  
Technology Deployment ◽  
Project Valuation ◽  
Project Risks

Current project valuation framework under the Net Present Value (NPV) method has been proved to be incomplete, as it fails to accurately account for uncertainty. Traditional financial tools fail because they neglect to account for the value of flexibility. The standard NPV approach assumes that project risks remain constant over the life of the strategy. It, also, fails to factor in the full range of opportunities that a new and innovative strategy may create for a firm in the future. We show how one can use Real Option methodology in order to determine optimal financial path to fund new technology deployment within a risky environment. Moreover, in this paper we demonstrate, with the use of a simple numerical example, how the Real Options methodology can be implemented within an IT project deployment.

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