A methodology for the construction of dynamic capabilities in industrial networks: The role of border agents

The article presents a methodology for the formation and functioning of industrial networks that favors the development of dynamic capabilities with regard to the creation, integration, transfer and absorption of knowledge. This methodology has been put into practice in a case study: Lignum Facile. The presence of some misalignments between our initial proposal and its implementation helped us reshape and emphasize particular processes and flows associated to the methodology. Beyond the typical localization and agglomeration advantages, the analysis suggests that the success in the formation and functioning of industrial networks is mainly related to their potential to formulate immaterial relationships capable of stimulating learning processes, the dissemination of technological knowledge and innovative activities. Particularly, we found that the inclusion of border agents – intermediaries between the market and industry such as architects, engineers or designers – is fundamental to develop innovations at the intersection of different scientific and technological disciplines.     

Managing innovation networks: Exploratory evidence from ICT, biotechnology and nanotechnology networks

This study examines the management of innovation networks which has enjoyed increased recognition in the marketing literature due to its growing prominence and relevance. By testing a causal model relating network factors to outcomes, the study contributes to theory development on managing innovation at the net level of analysis. Consequently, it contributes to the respective marketing literatures on new product development, open innovation, industrial marketing and its emerging network management sub-stream. It also offers a methodological contribution as respondents include key players from businesses, government agencies, research organizations and universities rather than from only one focal organization as studies in extant literature have predominantly done. Findings are based on 219 responses from Australian high technology networks, namely, information and communications technology and biotechnology/nanotechnology. The study offers valuable implications for marketing managers involved in new product development and innovation concerning strategies for managing their inter-organizational innovation initiatives effectively.     

A network perspective on idea and innovation crowdsourcing in industrial firms

Crowdsourcing has been attracting the attention of both academics and practitioners over recent years. The aim of this article is to contribute to the current body of knowledge on innovation in networked contexts by systematically analyzing various crowdsourcing configurations available to industrial firms. We first develop a categorization of crowdsourcing in industrial firms comprising four distinct configurations: internal crowdsourcing; community crowdsourcing; open crowdsourcing; and crowdsourcing via a broker. We then proceed to draw from the literature on industry networks to further deepen our understanding of how these four distinct configurations can contribute to business and innovation activities of a focal industrial firm. Specifically, we focus on the structural properties, nature of collaboration, and governance of crowdsourcing networks. This novel combination of crowdsourcing and network research delivers new insights that enrich current understanding on various options available to industrial firms operating in networked contexts to facilitate their innovation processes.     

The impact of state shares on corporate innovation strategy and performance in China

This paper examines the impact of state shares on corporate innovation strategy and performance in the People’s Republic of China (PRC). Through an investigation of 541 publicly traded companies in five high-tech industries during the period between 2000 and 2005, we find that the presence of state shares have a positive effect on the corporate choice of a process innovation strategy over a product innovation one. However, this relationship is moderated by the overall ownership concentration ratio. Moreover, our findings suggest that companies with large state shares prefer to conduct innovations independently rather than collaboratively with others, and they usually achieve better innovation performance. These findings indicate that the government play a role as both an investor and a resource allocation coordinator and therefore complicate the relationship between ownership structure and corporate innovation activities.

Product innovation and adoption in market equilibrium: The case of digital cameras

This paper studies the effect of competition on product innovation in the market for digital cameras during the years 1998 to 2001. The analysis is based on a structural dynamic model that is estimated and used to simulate the innovation behavior of firms in counterfactual environments. The model features heterogeneous consumers, who time optimally purchase goods, depending on the expected evolution of the prices and the characteristics of available cameras. On the supply side, firms introduce new camera models and choose their characteristics, accounting for the dynamic value of new products and the optimal dynamic behavior of consumers. The counterfactual simulations imply that an increase in competition in the industry would not have generated better products on average and, depending on the type of competition, would have generated products with lower average quality.     

Relationship learning and innovation: The role of relationship-specific memory

This study investigates the relationship between relationship learning and innovation. It discusses the difference and relationship between knowledge flow and knowledge stock as embodied in relationship learning. Results show that information sharing and joint sensemaking (knowledge flow) are positively associated with relationship-specific memory (knowledge stock), and indirectly influence both explorative and exploitative innovation through their effects on relationship-specific memory. This study also examines the role of learning intent of individual firms in relationship learning. Results indicate that stronger learning intent enhances the effect of information sharing on relationship-specific memory. Finally, the study discusses several implications of this research and offers suggestions for future research.     

The logic of innovation in construction

The paper investigates the logic of innovation in construction by addressing four questions: What is actually being renewed in construction? How is it being done? Who is involved? and Why do or do not the companies innovate? The paper draws on a combination of an industrial network perspective and the exploration–exploitation dichotomy to analyze data from a study of innovation in the Norwegian and Swedish construction industries. The findings show that construction companies are increasingly working more systematically to turn project-level ideas into company-wide knowledge. This indicates an innovation logic that is oriented towards exploitation of new combinations through the internal network. The companies are also increasingly concerned with establishing closer connections to customers and users, which have traditionally been weak. This has led to an orientation towards exploitation through the external network, at least on the customer side. In turn, this may lead to more innovative behavior and renewal in the industry as a whole. However, it requires that not only the customer relationships, but also the relationships on the supply side must change. Companies in the construction industry should be conscious about their innovation logic, in terms of whether they base their innovation behavior on a biased orientation towards exploitation or exploration or towards the internal or external network. A balance is needed.     

The evolution of generic brands in industrial markets: the challenges to owners of brand equity

The paper suggests that generic brands can develop in industrial markets as easily as they can in consumer goods markets. It briefly examines the issue of branding in industrial markets and then describes the problems that firms can face if their brand name becomes used in a generic manner. It suggests actions that such firms can take as responses to this situation.     

Demand supply network opportunity development processes in emerging markets: Positioning for strategy realization in Russia

This paper aims to shed light on the management of supply chains, or rather, demand supply networks (DSN) in emerging markets by foreign companies. According to our definition, specific DSN opportunity development processes are directed towards better functionality and coordination of product, finance and information flows across the DSN. As a consequence, improved performance of the DSN may be achieved, in order to support and realize competitive business strategy and facilitate value creation for customers. To illustrate the concepts and the model, empirical evidence is presented that establishes the role of changing network structures and incumbent capabilities as constraints for DSN opportunity capture, especially in emerging markets. Our results show that DSN positioning strategies designed to overcome these constraints and facilitate opportunity capture, must be proactive, well-timed and innovative.     

Business group characteristics and affiliated firm innovation: The case of Taiwan

This paper investigates the relationship between business group factors and affiliated firm innovation in terms of patents granted. We examine the following factors for business groups: group affiliation, group diversification, inside ownership, and family ties. In emerging markets, business groups act not only as an internal capital market, but also as a platform for resource sharing among affiliates. We use Taiwan's business groups as a research sample to investigate how these group factors affect affiliated firms' innovation. The findings indicate that firms that are affiliated with business groups innovate better than their unaffiliated counterparts. Group diversification and family ties have positive effects on firm innovation, while inside ownership has no significant positive effect. Our study contributes to the innovation literature by shedding light on business group factors and firm innovation.     

The impact of trust and contract on innovation performance: The moderating role of environmental uncertainty

Research into two important control mechanisms for managing the supply chain relationship - contracts and trust - is on the rise. However, our understanding of how they influence innovation in a firm remains rather unclear. Thus, the primary objective of this study is to examine the individual and interactive effects of contracts and trust on firms' innovation performance and the contingent effects of environmental uncertainty on those relationships in China. The empirical results from a survey of Chinese manufacturing firms indicate that there is a positive relationship between trust and firms' innovation performance, an inverted U-shaped relationship between the use of contracts and firms' innovation performance, and that contracts and trust are substitutes. Moreover, we find that environmental uncertainty enhances the effects of trust, but does not influence the impact of contracts on innovation performance.     

Organizing coopetition for innovation: The case of wireless telecommunication sector in Europe

Prior research highlighted the prevalence of coopetition as a strategy for innovation in high-tech industries for several reasons but the link between forms of coopetition and innovation is still understudied. In order to fill this gap in the literature, this study attempts to answer the following question: which form of coopetition favors which type of innovation? The results of an embedded case study approach of five Celtic-Plus projects (European Eureka Program) in the wireless telecommunication sector show that two forms of coopetition exist: multiple and dyadic. While multiple coopetition is successfully pursued for radical innovation, dyadic coopetition is more suitable for incremental innovation. Different innovation objectives lead to different levels of value creation/appropriation tensions between coopetitors. In order for competitors to pursue radical or incremental innovation successfully, different levels of social capital related to different choices of partners are needed. The role of social capital levels as a moderating factor between value creation/appropriation tensions and innovation type is discussed in detail. The study proposes a conceptual model that links coopetition strategy motives to the types of coopetition and their results in terms of radical or incremental innovation. Finally, a framework that helps firms to balance between multiple/dyadic–vertical/horizontal collaboration according to the levels of value creation/appropriation tensions and social capital is proposed.     

The sourcing of technological knowledge: distributed innovation processes and dynamic change

This paper outlines the knowledge and technology sourcing practices of a range of key firms and organisations across the UK based on primary research, and analyses the key factors related to managing the technological knowledge boundaries of the firm. In particular, the paper considers the dynamic dimension considerations to such issues. As such it outlines important differences between short and long time horizons, before analysing in more detail some of the implications for firms of technological change over the long term. The paper seeks to highlight the importance of the time dimension in helping to explain why and how firms source technological knowledge externally and how they align their sourcing activities to their strategies associated with developing current and future capabilities.     

Beating the odds in the innovation arena: The role of market and technology signals classification and noise

Innovation is a risky business. Notwithstanding the attention in research on the determinants of innovation success, the estimates of the extremely high failure rates (ranging from 40% to 90%) have not come down. As a result, new approaches have to be found to address the issues that prevent organizations from reaching innovation success over a longer period of time. In this study, Signal Detection Theory (SDT) is introduced to show that it may be less important to improve innovation practices in companies, than it is to change the nature of the projects that enter the corporate innovation funnel. In our empirical study of 44 innovation projects in the pharmaceutical and electronics industry, we show that pursuing more noisy signals (uncertain technological and market opportunities) is currently beneficial for innovation success. In general, companies allocate too few resources to noisy innovation opportunities. Interestingly, we find a positive, and not an inverted U-shaped, relationship between noise/signal ratios and innovation success. This indicates that there are almost no companies that take too much risk in the current competitive environment and that many can gain from increasing their noise tolerance. The implications from this study are quite counter-intuitive in a sense that ‘risk’ is not the cause of the innovation problems, but may be a solution.     

Matching demand and supply in the agricultural knowledge infrastructure: Experiences with innovation intermediaries

The privatization of agricultural research and extension establishments worldwide has led to the development of a market for services designed to support agricultural innovation. However, due to market and systemic failures, both supply side and demand side parties in this market have experienced constraints in effecting transactions and establishing the necessary relationships to engage in demand-driven innovation processes. To mitigate these constraints, a field of intermediary organizations has emerged to assist agricultural entrepreneurs to articulate demand, forge linkages with those that can provide innovation support services, and manage innovation processes. This article aims to give an overview of the different kinds of the so-called innovation intermediaries that have emerged in The Netherlands and to report on their contributions and the tensions that are being experienced with regard to their functioning. The article concludes with a discussion in which it is argued that the state should play a role as a ‘market facilitator’, by funding such innovation intermediaries.     

Network evolution and the embedding of complex technical solutions: The case of the Leaf House network

The purpose of this paper is to investigate the connection between network evolution and technology embedding. To this end, we performed an exploratory case study of the network surrounding an eco-sustainable technology, Leaf House, Italy's first zero-carbon emission house. We apply theories on technological development within industrial networks, with a specific focus on their resource layer and on the three settings involved in embedding an innovation: “developing”, “producing”, and “using”. Our results contribute to these theories by developing four propositions on the connections between network evolution and embedding: first, technology embedding entails both downstream network expansion and upstream restrictions. Secondly, conflicts among actors increase as technology embedding approaches the producing and using settings. Third and fourth, the more the shapes a technology can assume, and the more each of these shapes involves actors acting in different settings, the easier it is to embed it. The paper concludes with managerial implications and suggestions for further research.     

Salesperson's innovation resistance and job satisfaction in intra-organizational diffusion of sales force automation technologies: The case of South Korea

One of the rapidly growing areas in industrial marketing is the application of sales force automation (SFA) technologies to help improve the efficiency of the sales force task. What is often overlooked is that there are some potential negative effects related to SFA technologies that arise when these innovations are forcefully adopted on the individual salesperson. This study empirically examines the psychological and social antecedents of salespeople's resistance toward SFA technologies in South Korea. Unlike previous studies that only looked at adoption, this studies adds to the literature on SFA technologies by looking at resistance toward innovation in the post-adoption or intra-organizational diffusion stage. This study looks at the direct and indirect relationships between innovation resistance and some key constructs such as job satisfaction, job performance, self-efficacy, group-efficacy, innovativeness, and peer usage. This study represents also one of the very few empirical studies conducted on sales force behavior in South Korea and as such may offer some insights on sales force management in collectivist cultures.     

The Industrial Project Method in French Industry and in French Schools

The introduction of technology education courses for all French pupils in middle schools was strongly linked to a project called IPM. It is based pm the idea of an industrial project method (IPM) whereby an enterprise puts a new industrial project onto the market. The main idea in IPM is to provide a teaching method by which teachers organize classroom time. The link between the two was so evident that it became the fundamental reference for technology education in France. However, the same evidence hides some real difficulties in formalizing the knowledge and concepts to be brought to bear in a technology education class. The aim of this paper is to present two surveys of the practical implementation of IPM. The first looks at how companies proceed when they decide to put a new product onto the market. The second analyses how teachers organize their teaching using this procedure. Based on the outcomes of the surveys, we will present some references for technology education and discuss its impact on school organization. This revised version was published online in July 2006 with corrections to the Cover Date.     

Interaction processes in long-term relationships in the metal mining industry: Longitudinal case studies of capital equipment buying

This study investigates the development of the relationships between customers and suppliers of capital equipment in the mining industry. The interorganizational relationships were characterized along three sets of variables: context, task characteristics, and interaction processes. Longitudinal case study research was conducted, and four long-term relationships in the Portuguese metal mining industry were investigated. The domesticated nature of the market, compatibility of partners' objectives and strategies, and the choice of a direct channel are significant driving forces for the establishment and development of these relationships. Well-driven interaction processes were found determinant to relationship development and outcomes. Particularly, the extent of supplier-based adaptations and scope of after-sales agreements are core to relationship development and continuity.     

The positive effects of relationship learning and absorptive capacity on innovation performance and competitive advantage in industrial markets

This study utilized structural equations modeling (SEM) to explore the positive effects of relationship learning and absorptive capacity on competitive advantages of companies through their innovation performances in Taiwanese manufacturing industry. The results of this study showed that relationship learning and absorptive capacity positively influence upon innovation performances of companies, and further have positive effects on competitive advantages of companies. In addition, this study divided the sample into three groups by the levels of relationship learning and absorptive capacity and found that there was a significant difference of innovation performance among these three groups: ‘Highly Capable Companies’, ‘Medially Capable Companies’, and ‘Lowly Capable Companies’. It is important for ‘Lowly Capable Companies’ to increase both of their relationship learning and absorptive capacity to enhance their innovation performances.