Wan Fauziah Wan Yusoff
Biographic Data
| ID | 6831109 |
|---|---|
| NAME | Wan Fauziah Wan Yusoff |
| GIVEN NAMES | Wan Fauziah Wan |
| FAMILY NAME | Yusoff |
| SIGNATURE | YUSOFF W F W |
| AFFILIATIONS | Multimedia University |
| ORCID | 0000-0002-1962-0854 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2011 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
Determines of Sectoral R&D Investment in the UK
The study estimates the determinants of R&D expenditure in the UK by using sectoral data of eight large scale industries over time. We examined both traditional and exceptional however empirically plausible determinants of R&D using two alternative dynamic models. Pooled OLS, the Fixed Effects and the Random Effects models are used for estimation. We find that the size of R&D expenditure in the UK is smaller than many other industrial countries..…
Corporate Culture and Sustainable Knowledge Management Implementation
Using a case methodology, this study explores the impact of corporate culture on knowledge management implementation. The key objective of this study is to explore the reasons behind the divergence that exists between proposed KM framework and actual KM implementation in a Malaysian conglomerate. The premise of this research is based on the notion that the effective implementation of a KM strategy is dependent on its unique corporate culture
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Corporate Culture and Sustainable Knowledge Management Implementation
Using a case methodology, this study explores the impact of corporate culture on knowledge management implementation. The key objective of this study is to explore the reasons behind the divergence that exists between proposed KM framework and actual KM implementation in a Malaysian conglomerate. The premise of this research is based on the notion that the effective implementation of a KM strategy is dependent on its unique corporate culture
Determines of Sectoral R&D Investment in the UK
The study estimates the determinants of R&D expenditure in the UK by using sectoral data of eight large scale industries over time. We examined both traditional and exceptional however empirically plausible determinants of R&D using two alternative dynamic models. Pooled OLS, the Fixed Effects and the Random Effects models are used for estimation. We find that the size of R&D expenditure in the UK is smaller than many other industrial countries..…
Affect (linguistics (1 work) · Artificial Intelligence (1 work) · Business (1 work) · Computer Science (1 work) · Conceptualization (1 work) · Econometrics (1 work) · Economic Growth and Productivity (1 work) · Economics (1 work) · Estimation (1 work) · Firm Innovation and Growth (1 work)