The impact of green innovation on top management leadership attributes

The main reason businesses need to innovate is due to its necessity to sustain and survive, and not for the matter of how brilliant and visionary the leaders of the organization are. Innovation has known for its very significant role in the organization progression and growth. Innovation can happen...

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Bibliographic Details
Main Authors: Ishak, Noormaizatul Akmar, Ahmad, Hartini
Format: Conference or Workshop Item
Language:English
Published: 2010
Subjects:
Online Access:http://repo.uum.edu.my/4175/1/Noo.pdf
http://repo.uum.edu.my/4175/
http://cob.uum.edu.my/ictom
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Summary:The main reason businesses need to innovate is due to its necessity to sustain and survive, and not for the matter of how brilliant and visionary the leaders of the organization are. Innovation has known for its very significant role in the organization progression and growth. Innovation can happen in the products, processes, and services being embark by organizations to make more profit by reducing operational cost and making processes more efficient. The concern over the environment all around the world has encouraged innovation to be more tailored to the “green”. “Green” is a name that being associated with anything or any action that has impact to the environment such as green building, green government and green innovation. This paper will discuss the impact of green innovation to the top management leadership attributes in the Government-linked Companies (GLCs) in Malaysia.The leadership must be sensitive and understand the green demand and situational in the Malaysia and around the world with respect to the industries that these GLCs are operated.This is where the top management leadership attributes will be justified to fit the green innovation implementation. This constructive research is a qualitative multicases study. Data collection is done via interviews, focus group discussion and document analysis.The result will be analyzed to see the themes emerge from the data before the analysis being interpreted.