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Journal ArticleDOI

Assessing the impact of organizational learning capability on product innovation performance: An empirical test

Joaquín Alegre, +1 more
- 01 Jun 2008 - 
- Vol. 28, Iss: 6, pp 315-326
TLDR
In this paper, the authors define organizational learning capability through five dimensions or mechanisms: experimentation, risk taking, interaction with the external environment, dialogue and participative decision making, and analyze the impact of these mechanisms on product innovation performance.
About
This article is published in Technovation.The article was published on 2008-06-01. It has received 656 citations till now. The article focuses on the topics: Product innovation & Innovation management.

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Citations
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Drivers of innovativeness and performance for innovative SMEs in South Korea: Mediation of learning orientation

TL;DR: In this paper, the authors investigated the relationship between drivers of innovativeness and the mediation effects of learning orientation and found that market orientation and entrepreneurial orientation significantly influenced learning orientation, respectively.
Journal ArticleDOI

Market demand, green product innovation, and firm performance: evidence from Vietnam motorcycle industry

TL;DR: In this article, the authors examined how market demand affects green product innovation and firm performance in the context of Vietnamese motorcycle industry and found that market demand is positively correlated with both green-product innovation and the firm performance.
Journal ArticleDOI

The impact of open innovation on firm performance: The moderating effects of internal R&D and environmental turbulence

TL;DR: In this paper, the authors explored the direct and interactive effects of external technology acquisition and external technology exploitation on firm performance and further examined the moderation effects of two factors (i.e., internal R&D and environmental turbulence) on the relationship between both types of open innovation and firm performance.
Journal ArticleDOI

Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS

TL;DR: The outcome of this research is helpful to rank the suppliers consequently organizations can replicate the proposed framework for supplier selection for their new product range.
Journal ArticleDOI

Knowledge management and innovation performance in a high-tech SMEs industry

TL;DR: In this paper, the authors examine how knowledge management (KM) affects innovation performance within biotechnology firms and hypothesize that KM dynamic capabilities act as a mediating variable between KM practices and innovation performance.
References
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Journal ArticleDOI

Multivariate Data Analysis

TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
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Structural equation modeling in practice: a review and recommended two-step approach

TL;DR: In this paper, the authors provide guidance for substantive researchers on the use of structural equation modeling in practice for theory testing and development, and present a comprehensive, two-step modeling approach that employs a series of nested models and sequential chi-square difference tests.
Journal ArticleDOI

Absorptive capacity: a new perspective on learning and innovation

TL;DR: In this paper, the authors argue that the ability of a firm to recognize the value of new, external information, assimilate it, and apply it to commercial ends is critical to its innovative capabilities.
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Dynamic capabilities and strategic management

TL;DR: The dynamic capabilities framework as mentioned in this paper analyzes the sources and methods of wealth creation and capture by private enterprise firms operating in environments of rapid technological change, and suggests that private wealth creation in regimes of rapid technology change depends in large measure on honing intemal technological, organizational, and managerial processes inside the firm.
Journal ArticleDOI

Multivariate data analysis

TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
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