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Nabil Amara

Bio: Nabil Amara is an academic researcher from Laval University. The author has contributed to research in topics: Knowledge transfer & Conceptual framework. The author has an hindex of 33, co-authored 91 publications receiving 7225 citations.


Papers
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TL;DR: In this article, a systematic review of empirical articles published in scholarly periodicals between 1993 and 2003 on the topic of technological innovations in the manufacturing sector is presented, where the authors identify the variables that determine the innovative behavior and capacity of firms and explore how the authors of the articles approached and measured innovation.
Abstract: Provides a systematic review of empiricalarticles published in scholarly periodicals between 1993 and 2003 on the topicof technological innovations in the manufacturing sector. The goals of thisreview are to identify the variables that determine the innovative behavior andcapacity of firms and to explore how the authors of the articles approached andmeasure innovation. A careful study of 108 articles uncovers various internal variables (i.e.,specific to the firm) and contextual variables (i.e., related to the firm'senvironment) that shape a firm's innovative activities. The internal variablescan be grouped into such categories as general firm characteristics,strategies, structure, control, organizational culture, the management team andfunctional assets. Among the external variables are such types asindustry, region, networking, knowledge and technology acquisition and publicpolicies. Results show that the relationship linking several of these variableswith innovation is often moderated by an interaction with other variables. Firmmanagers and policy makers wishing to foster innovation more effectively canlearn from the results of this study. (SAA)

837 citations

Journal ArticleDOI
TL;DR: In this paper, a systematic review of empirical studies published between 1993 and 2003 is presented, which brings together a set of variables related to the innovation process and the internal and contextual factors driving it.

743 citations

Journal ArticleDOI
TL;DR: In this article, a survey of 440 manufacturing firms of diverse industries in a region in the southwest of Montreal found that 68.5% of the firms have developed product or process innovations during the 3 years preceding the survey.

627 citations

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TL;DR: In this article, the authors developed and tested an empirical model that derives its dependent and independent variables from prior studies in knowledge utilization, and defined utilization as a six-stage cumulative process.

494 citations

Journal ArticleDOI
TL;DR: This article used the data of the 1999 Statistics Canada Innovation Survey to address a crucial question for the understanding of novelty of innovation in the manufacturing sector: what are the effects of sources of information on novelty in manufacturing firms?

415 citations


Cited by
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Book
01 Jan 2009

8,216 citations

Book
01 Jan 1995
TL;DR: In this article, Nonaka and Takeuchi argue that Japanese firms are successful precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies, and they reveal how Japanese companies translate tacit to explicit knowledge.
Abstract: How has Japan become a major economic power, a world leader in the automotive and electronics industries? What is the secret of their success? The consensus has been that, though the Japanese are not particularly innovative, they are exceptionally skilful at imitation, at improving products that already exist. But now two leading Japanese business experts, Ikujiro Nonaka and Hiro Takeuchi, turn this conventional wisdom on its head: Japanese firms are successful, they contend, precisely because they are innovative, because they create new knowledge and use it to produce successful products and technologies. Examining case studies drawn from such firms as Honda, Canon, Matsushita, NEC, 3M, GE, and the U.S. Marines, this book reveals how Japanese companies translate tacit to explicit knowledge and use it to produce new processes, products, and services.

7,448 citations

Book
01 Jan 2008
TL;DR: Nonaka and Takeuchi as discussed by the authors argue that there are two types of knowledge: explicit knowledge, contained in manuals and procedures, and tacit knowledge, learned only by experience, and communicated only indirectly, through metaphor and analogy.
Abstract: How have Japanese companies become world leaders in the automotive and electronics industries, among others? What is the secret of their success? Two leading Japanese business experts, Ikujiro Nonaka and Hirotaka Takeuchi, are the first to tie the success of Japanese companies to their ability to create new knowledge and use it to produce successful products and technologies. In The Knowledge-Creating Company, Nonaka and Takeuchi provide an inside look at how Japanese companies go about creating this new knowledge organizationally. The authors point out that there are two types of knowledge: explicit knowledge, contained in manuals and procedures, and tacit knowledge, learned only by experience, and communicated only indirectly, through metaphor and analogy. U.S. managers focus on explicit knowledge. The Japanese, on the other hand, focus on tacit knowledge. And this, the authors argue, is the key to their success--the Japanese have learned how to transform tacit into explicit knowledge. To explain how this is done--and illuminate Japanese business practices as they do so--the authors range from Greek philosophy to Zen Buddhism, from classical economists to modern management gurus, illustrating the theory of organizational knowledge creation with case studies drawn from such firms as Honda, Canon, Matsushita, NEC, Nissan, 3M, GE, and even the U.S. Marines. For instance, using Matsushita's development of the Home Bakery (the world's first fully automated bread-baking machine for home use), they show how tacit knowledge can be converted to explicit knowledge: when the designers couldn't perfect the dough kneading mechanism, a software programmer apprenticed herself withthe master baker at Osaka International Hotel, gained a tacit understanding of kneading, and then conveyed this information to the engineers. In addition, the authors show that, to create knowledge, the best management style is neither top-down nor bottom-up, but rather what they call "middle-up-down," in which the middle managers form a bridge between the ideals of top management and the chaotic realities of the frontline. As we make the turn into the 21st century, a new society is emerging. Peter Drucker calls it the "knowledge society," one that is drastically different from the "industrial society," and one in which acquiring and applying knowledge will become key competitive factors. Nonaka and Takeuchi go a step further, arguing that creating knowledge will become the key to sustaining a competitive advantage in the future. Because the competitive environment and customer preferences changes constantly, knowledge perishes quickly. With The Knowledge-Creating Company, managers have at their fingertips years of insight from Japanese firms that reveal how to create knowledge continuously, and how to exploit it to make successful new products, services, and systems.

3,668 citations

Journal ArticleDOI
TL;DR: In this article, a systematic review of literature published over the past 27 years, synthesize various research perspectives into a comprehensive multi-dimensional framework of organizational innovation - linking leadership, innovation as a process, and innovation as an outcome.
Abstract: This paper consolidates the state of academic research on innovation. Based on a systematic review of literature published over the past 27 years, we synthesize various research perspectives into a comprehensive multi-dimensional framework of organizational innovation - linking leadership, innovation as a process, and innovation as an outcome. We also suggest measures of determinants of organizational innovation and present implications for both research and managerial practice.

2,414 citations

Journal ArticleDOI
Per Nilsen1
TL;DR: A taxonomy that distinguishes between different categories of theories, models and frameworks in implementation science is proposed to facilitate appropriate selection and application of relevant approaches in implementation research and practice and to foster cross-disciplinary dialogue among implementation researchers.
Abstract: Implementation science has progressed towards increased use of theoretical approaches to provide better understanding and explanation of how and why implementation succeeds or fails. The aim of this article is to propose a taxonomy that distinguishes between different categories of theories, models and frameworks in implementation science, to facilitate appropriate selection and application of relevant approaches in implementation research and practice and to foster cross-disciplinary dialogue among implementation researchers. Theoretical approaches used in implementation science have three overarching aims: describing and/or guiding the process of translating research into practice (process models); understanding and/or explaining what influences implementation outcomes (determinant frameworks, classic theories, implementation theories); and evaluating implementation (evaluation frameworks). This article proposes five categories of theoretical approaches to achieve three overarching aims. These categories are not always recognized as separate types of approaches in the literature. While there is overlap between some of the theories, models and frameworks, awareness of the differences is important to facilitate the selection of relevant approaches. Most determinant frameworks provide limited “how-to” support for carrying out implementation endeavours since the determinants usually are too generic to provide sufficient detail for guiding an implementation process. And while the relevance of addressing barriers and enablers to translating research into practice is mentioned in many process models, these models do not identify or systematically structure specific determinants associated with implementation success. Furthermore, process models recognize a temporal sequence of implementation endeavours, whereas determinant frameworks do not explicitly take a process perspective of implementation.

2,392 citations