The drivers of product innovation performance in Malaysian electrical and electronic industry

The drivers of product innovation performance in Malaysian electrical and electronic industry

In today's dynamic business environment, the flipside to Malaysia's Electrical and electronics (E&E) industry is that it is still very much focused on manufacturing and not expanded to higher value-chain activities such as R&D. The challenge is to leverage emerging technologies to...

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Main Author: Tan, Kar Hooi
Format: Thesis
Language:eng
eng
eng
Published: 2019
Subjects:
HD28-70 Management
Industrial Management
HF5001-6182 Business
T Technology (General)
Online Access:https://etd.uum.edu.my/9616/1/s901298_01.pdf
https://etd.uum.edu.my/9616/2/s901298_02.pdf
https://etd.uum.edu.my/9616/3/s901298_references.docx
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spelling my-uum-etd.96162022-07-13T08:54:55Z The drivers of product innovation performance in Malaysian electrical and electronic industry 2019 Tan, Kar Hooi Abu, Noor Hidayah Abdul Rahim, Mohd Kamarul Irwan School of Technology Management & Logistics School of Technology Management & Logistics HD28-70 Management. Industrial Management HF5001-6182 Business T Technology (General) In today's dynamic business environment, the flipside to Malaysia's Electrical and electronics (E&E) industry is that it is still very much focused on manufacturing and not expanded to higher value-chain activities such as R&D. The challenge is to leverage emerging technologies to accelerate the growth of the E&E sector with emphasis on developing indigenous capacity and capability To explain the concerns, this study examined the impact of key enablers namely, technology scanning capability, innovation type, big data analytics capability and organizational learning on product innovation performance. This study also examines the successive impact of organizational learning on product innovation performance and investigates whether organizational learning mediates key capabilities and performance relationship under study. In order to achieve the research objectives, quantitative research approach is necessitated. 538 survey questionnaires were distributed to respondents in Malaysian electrical and electronics organizations. 281 usable responses representing 52% response rate were empirically tested through structural equation modeling by using SPSS and SmartPLS. Research findings revealed that technology scanning capability, innovation type, big data analytics capability and organizational learning contributed to firm's product innovation performance, whereas, technology scanning capability and innovation type was insignificant towards organizational learning. The findings also revealed a significant mediation effect of organizational learning in the model under study. Limitations and recommendations for future study are discussed. 2019 Thesis https://etd.uum.edu.my/9616/ https://etd.uum.edu.my/9616/1/s901298_01.pdf text eng public https://etd.uum.edu.my/9616/2/s901298_02.pdf text eng public https://etd.uum.edu.my/9616/3/s901298_references.docx text eng public other doctoral Universiti Utara Malaysia
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
eng
advisor Abu, Noor Hidayah
Abdul Rahim, Mohd Kamarul Irwan
topic HD28-70 Management
Industrial Management
HF5001-6182 Business
T Technology (General)
spellingShingle HD28-70 Management
Industrial Management
HF5001-6182 Business
T Technology (General)
Tan, Kar Hooi
The drivers of product innovation performance in Malaysian electrical and electronic industry
description In today's dynamic business environment, the flipside to Malaysia's Electrical and electronics (E&E) industry is that it is still very much focused on manufacturing and not expanded to higher value-chain activities such as R&D. The challenge is to leverage emerging technologies to accelerate the growth of the E&E sector with emphasis on developing indigenous capacity and capability To explain the concerns, this study examined the impact of key enablers namely, technology scanning capability, innovation type, big data analytics capability and organizational learning on product innovation performance. This study also examines the successive impact of organizational learning on product innovation performance and investigates whether organizational learning mediates key capabilities and performance relationship under study. In order to achieve the research objectives, quantitative research approach is necessitated. 538 survey questionnaires were distributed to respondents in Malaysian electrical and electronics organizations. 281 usable responses representing 52% response rate were empirically tested through structural equation modeling by using SPSS and SmartPLS. Research findings revealed that technology scanning capability, innovation type, big data analytics capability and organizational learning contributed to firm's product innovation performance, whereas, technology scanning capability and innovation type was insignificant towards organizational learning. The findings also revealed a significant mediation effect of organizational learning in the model under study. Limitations and recommendations for future study are discussed.
format Thesis
qualification_name other
qualification_level Doctorate
author Tan, Kar Hooi
author_facet Tan, Kar Hooi
author_sort Tan, Kar Hooi
title The drivers of product innovation performance in Malaysian electrical and electronic industry
title_short The drivers of product innovation performance in Malaysian electrical and electronic industry
title_full The drivers of product innovation performance in Malaysian electrical and electronic industry
title_fullStr The drivers of product innovation performance in Malaysian electrical and electronic industry
title_full_unstemmed The drivers of product innovation performance in Malaysian electrical and electronic industry
title_sort drivers of product innovation performance in malaysian electrical and electronic industry
granting_institution Universiti Utara Malaysia
granting_department School of Technology Management & Logistics
publishDate 2019
url https://etd.uum.edu.my/9616/1/s901298_01.pdf
https://etd.uum.edu.my/9616/2/s901298_02.pdf
https://etd.uum.edu.my/9616/3/s901298_references.docx
_version_ 1747828634391937024

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