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JournalISSN: 0166-4972

Technovation 

Elsevier BV
About: Technovation is an academic journal. The journal publishes majorly in the area(s): New product development & Business. It has an ISSN identifier of 0166-4972. Over the lifetime, 2318 publications have been published receiving 142125 citations.


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TL;DR: In this paper, the authors investigate if open innovation practices are also applied by small and medium-sized enterprises (SMEs) and explore the incidence of and apparent trend towards open innovation.
Abstract: Open innovation has so far been studied mainly in high-tech, multinational enterprises. This exploratory paper investigates if open innovation practices are also applied by small- and medium-sized enterprises (SMEs). Drawing on a database collected from 605 innovative SMEs in the Netherlands, we explore the incidence of and apparent trend towards open innovation. The survey furthermore focuses on the motives and perceived challenges when SMEs adopt open innovation practices. Within the survey, open innovation is measured with eight innovation practices reflecting technology exploration and exploitation in SMEs. We find that the responding SMEs engage in many open innovation practices and have increasingly adopted such practices during the past 7 years. In addition, we find no major differences between manufacturing and services industries, but medium-sized firms are on average more heavily involved in open innovation than their smaller counterparts. We furthermore find that SMEs pursue open innovation primarily for market-related motives such as meeting customer demands, or keeping up with competitors. Their most important challenges relate to organizational and cultural issues as a consequence of dealing with increased external contacts.

1,721 citations

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TL;DR: In this article, the authors explore the limits in our understanding of the open innovation concept and address the questions of what (the content of open innovation), when (the context dependency) and how (the process).
Abstract: Open innovation has become one of the hottest topics in innovation management. This article intends to explore the limits in our understanding of the open innovation concept. In doing so, I address the questions of what (the content of open innovation), when (the context dependency) and how (the process). Open innovation is a rich concept, that can be implemented in many different ways. The context dependency of open innovation is one of the least understood topics; more research is needed on the internal and external environment characteristics affecting performance. The open innovation process relates to both the transition towards open innovation, and the various open innovation practices. As with any new concept, initial studies focus on successful and early adopters, are based on case studies, and descriptive. However, not all lessons learned from the early adopters may be applicable to following firms. Case study research increases our understanding of how things work and enables us to identify important phenomena. They should be followed by quantitative studies involving large samples to determine the relative importance of factors, to build path models to understand chains of effects, and to formally test for context dependencies. However, the evidence shows that open innovation has been a valuable concept for so many firms and in so many contexts, that it is on its way to find its final place in innovation management.

1,437 citations

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TL;DR: In this article, the role of different types of collaborative networks in achieving product innovations and their degree of novelty was theoretically and empirically analyzed, using data from a longitudinal sample of Spanish manufacturing firms.
Abstract: Competition today is driving firms to introduce products with a higher degree of novelty. Consequently, there is a growing need to understand the critical success factors behind more novel product innovations. This paper theoretically and empirically analyzes the role of different types of collaborative networks in achieving product innovations and their degree of novelty. Using data from a longitudinal sample of Spanish manufacturing firms, our results show that technological collaborative networks are of crucial importance in achieving a higher degree of novelty in product innovation. Continuity of collaboration and the composition of the collaborative network are highly significant dimensions. Collaboration with suppliers, clients and research organizations—in this order—have a positive impact on the novelty of innovation, while collaboration with competitors has a negative impact. The greatest positive impact on the degree of innovation novelty comes from collaborative networks comprising different types of partners.

1,077 citations

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TL;DR: In this article, the authors propose a methodology based on Kano's model of customer satisfaction to explore customers' stated needs and unstated desires and to resolve them into different categories which have different impacts on customer satisfaction.
Abstract: Despite all efforts, many product development projects fail and lead to the introduction of products that do not meet customers' expectations. A high level of customer satisfaction cannot be obtained. On the other hand, in many product development projects the process of product development is conducted very unsystematically and resources are wasted because of a lack of communication between the different functions involved in product development. Time especially is a critical factor within product development as time to market is becoming increasingly more important. Managers need a set of practical step-by-step tools and methods which ensure a better understanding of customers' needs and requirements, as well as procedures and processes to enhance communication by focusing on the voice of the customer within a product development project. The authors propose a methodology, based on Kano's model of customer satisfaction, to explore customers' stated needs and unstated desires and to resolve them into different categories which have different impacts on customer satisfaction. It is shown how this categorization can be used as a basis for product development, especially for quality function deployment. The paper begins with a brief discussion of the strategic importance of customer satisfaction, then Kano's model and its combination with quality function deployment is demonstrated, using a case study from the ski industry. The paper closes with a brief discussion of the managerial implications and the consequences of the application of these tools.

904 citations

Journal ArticleDOI

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TL;DR: Wang et al. as mentioned in this paper empirically explored the relationships between different cooperation networks and innovation performance of SMEs using the technique of structural equation modeling, and found that there are significant positive relationships between inter-firm cooperation, cooperation with intermediary institutions, and cooperation with research organizations.
Abstract: The complexity of innovation processes led to a tremendous growth in the use of external networks by small- and medium-sized enterprises (SMEs). Based on a survey to 137 Chinese manufacturing SMEs, this paper empirically explores the relationships between different cooperation networks and innovation performance of SME using the technique of structural equation modeling (SEM). The study finds that there are significant positive relationships between inter-firm cooperation, cooperation with intermediary institutions, cooperation with research organizations and innovation performance of SMEs, of which inter-firm cooperation has the most significant positive impact on the innovation performance of SMEs. Surprisingly, the result reveals that the linkage and cooperation with government agencies do not demonstrate any significant impact on the innovation performance of SMEs. In addition, these findings confirm that the vertical and horizontal cooperation with customers, suppliers and other firms plays a more distinct role in the innovation process of SMEs than horizontal cooperation with research institutions, universities or colleges, and government agencies.

880 citations

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Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202390
2022131
2021166
202045
201936
201831