The thin red line between success and failure: Path dependence in the diffusion of innovative production technologies

The wide variation in the success of innovations obscures similarities in the process of firms being influenced by other firms when choosing production technology. We argue that diffusion processes are similar across successful and failed innovations. Production asset innovation success results not only from innovation quality differences—early chance events and subsequent path dependence are also intrinsic to diffusion processes. Thus, diffusion processes do not reliably spread the best innovations, producing competitive advantage for firms with an early lead producing innovations and firms adopting high‐quality innovations. We test these predictions quantitatively by analyzing the diffusion of the DC‐10 and L‐1011 airplanes, and find support for our theory linking the social information provided by firm adoptions to the success of innovative production technologies. Copyright © 2014 John Wiley & Sons, Ltd.     

Network patterns and competitive advantage before the emergence of a dominant design

This study examines the performance implications of the alliance networks of 49 firms that competed for two technology standards in the U.S. local area network industry from 1989 to 1996. During the race to define a dominant design, individual firms attract the suppliers of complements by building alliance networks to favor the firms' preferred technology standard. Controlling for the number of suppliers in each technology standard community and the extent of technical progress achieved by individual firms, the panel data analysis shows that central firms with high ego network density, coupled with a strategic intent to acquire and share knowledge broadly within the technological community, achieve better innovation performance. The size of the technological community and some random events in the early formation of the industry do not provide a sufficient explanation of how these firms gain the diverse support of suppliers or enhance their competitive advantage. By demonstrating the independent and contingent effects of alliance network properties, this study explains how network patterns might enhance or limit the benefits of alliance networks when focal firms embrace different innovation strategies. Copyright © 2009 John Wiley & Sons, Ltd.     

Fast and expensive: the diffusion of a disappointing innovation

Firms seek to imitate innovations that yield competitive advantage, but imitation can presage disappointment when the innovation value is below expectations. Empirical research has only rarely examined the diffusion of such disappointing innovations, and it is not known whether negative information from past adopters will halt the diffusion process. Likewise, the effect of heterogeneity in the innovation value on its spread has not been systematically investigated. Here, a unique dataset on a disappointing innovation is used to examine how adoption decisions are imitated, but actual use and subsequent abandonment can yield information that reduces the likelihood that others will adopt. The findings show imitation of the adoptions of other firms, but avoidance of the innovation once these firms start using the innovation or abandon it. Copyright © 2011 John Wiley & Sons, Ltd.     

AN EMPIRICAL TEST OF THE RESOURCE-BASED THEORY: STRATEGIC REGULATION IN THE DUTCH AUDIT INDUSTRY

The resource-based view of the firm is a recent strategic management theory that seeks to identify the resources that may provide firms with a sustainable competitive advantage. This paper has two purposes. First, the paper relates strategic management arguments to parallel lines of reasoning in industrial organization theory and argues that strategic regulation is a major source of sustainable competitive advantage. The second purpose of the paper is to report the results of an empirical test of the resource-based theory on the basis of a longitudinal data set on the postwar history of the Dutch audit industry. A key determinant of this history proves to be strategic regulation, which stimulates demand for audit services and protects rent-producing resources.     

The impact of competition strength and density on performance: The technological competition networks in the wind energy industry

Technological competition plays an important role in technological development and innovation. However, technological competition networks have long been ignored in research. Based on the social network theory, we proposed that the innovation of an organization is greatly affected by the technological competition networks that it is embedded in. We introduced International Patent Classifications (IPCs) information to construct technological competition networks of organizations, and explored how competition network characteristics influence the organizational competitive capability and innovation performance.Based on the wind energy patent data between 2005 and 2014, we synthetically investigated the technological development and competition networks in the industry. Our findings show that (1) the evolutionary trends of patents and technology elements growth exhibit similar patterns (i.e., increasing before 2011 and decreasing after 2011); (2) the burst detection algorithm detects that 140 technological elements and 132 organizations experienced a sudden growth in production; (3) wind energy organizations intensively compete with each other, and in each year, only 10% of organizations can improve their technological competitive positions in the following year; (4) competition density in a competition network increases the technological competitive capability and innovation performance of firms. Additionally, competition strength has an inverted-U shaped relationship with both the aforementioned outcomes.     

The Effects of Market Network Heterogeneity on Innovation Diffusion: An Agent‐Based Modeling Approach

Innovations usually have an initial impact on very few people. The period of learning or early evaluation precedes the diffusion of the technology into the wider addressed population. More than a transfer, this is best characterized as communication of benefits, costs, and compatibility with earlier technologies and a relative assessment of the new state of the art. Innovation development by an organization or individual creates not just a device (i.e., process or tacit knowledge) but concomitantly a capacity on the part of other organizations or persons to use, adopt, replicate, enhance, or modify the technology, skills, or knowledge for their own purposes. How innovations actually diffuse is to understand the communication of progress, and this framing helps one to design innovations and also design the marketing and testing programs to ready innovations for market and launch them efficiently. Diffusion theory's main focus is on the flow of information within a social system, such as via mass media and word‐of‐mouth communications. This theory presents often in the form of mathematical models of innovation and imitation. Distinct from classical diffusion models, however, consumers are not all identical in how they connect to others within a market or how they respond to information. We examine the effects of various network structures and relational heterogeneity on innovation diffusion within market networks. Specifically, network topology (the structure of how individuals in the market are connected) and the strength of communication links between innovator and follower market segments (a form of relational heterogeneity) are studied. Several research questions concerning network heterogeneity are addressed with an agent‐based modeling approach. The present study's findings are based on simulation results that show important effects of network structure on the diffusion process. The ability to speed diffusion varies significantly according to within‐ and cross‐segment communications within a heterogeneous network structure. The implications of the present approach for new product diffusion are discussed, and future research directions are suggested that may add useful insights into the complex social networks inherent to diffusion. A simple summary is that discovery of significant prime communicator nodes in a network allows innovation development practices to be better calibrated to realistically multiple market segments.     

The effect of buyer behaviors on preferred customer status and access to supplier technological innovation: An empirical study of supplier perceptions

Buying firms are increasingly looking to suppliers for technological innovations that enhance the competitive position of their new products. However, extant research provides limited guidance on how buying firms may gain access to suppliers' innovative technologies. To address this gap in the literature, we draw from social exchange theory to posit sequential relationships among buyer behaviors, preferred customer status, and supplier's willingness to share technological innovations. We test our assertions by applying structural equation modeling statistical analyses to survey response data from 233 sales personnel of production good suppliers in the U.S. automotive industry. Whereas our results show that two buyer behaviors – early supplier involvement and relational reliability – positively affect preferred customer status, a third behavior – share of sales – has no effect. In turn, we find that preferred customer status is positively associated with supplier's willingness to share new technology with the buyer. Further, our findings indicate that preferred customer status fully mediates the benefits exchanged within a buyer–supplier relationship. Hence, our study highlights why buyers seeking innovations should take care that their behavior is appropriate for managing suppliers' perceptions. Accordingly, our results provide specific guidance to buyers as to how they may increase their access to suppliers' new technologies.     

Diversity of Board Interlocks and the Impact on Technological Exploration: A Longitudinal Study

Scholars have given increased attention to organizational networks as an important component of technological innovation. Although a significant body of research has examined the implications of organizational networks on knowledge diffusion, researchers know little about the impacts that diverse network interlocks have on corporate innovation outputs. To address this gap in the literature, this article draws upon insights from organizational learning and social network theory and argues that interlocked networks affect corporate innovation. Further, interlocks differ in terms of both the heterogeneity of tied‐to firms—ties created through shared board directors—and the directors who create these ties. Accordingly, this study proposes that more diverse interlocks will have a greater impact on corporate technological exploration. To test this proposal, data from multiple sources were analyzed, including historical records of board appointments and data on technological innovations from U.S. public companies. Empirical results from generalized estimating equations suggest that the industrial diversity of interlocked firms increases the likelihood of technological exploration. Moreover, interlocks with R&D‐intensive firms are more important for technological exploration than those created by firms that do not invest heavily in R&D. There is no empirical evidence demonstrating that the ratio of interlocks created by directors with output‐oriented experience enhances technological exploration. Overall, this research reveals that diversity of leader‐created board interlocks can be an important mechanism for fostering corporate entrepreneurial activities such as technological exploration.     

Roles, role performance, and radical innovation competences

Despite the importance of radical innovations (RI), few firms have the capability to develop such innovations internally; success is increasingly linked with relationships and networks. However, the way(s) in which relationships and networks support RI is less clear. Successfully launching RIs requires the development of four distinctive competences; discovery, incubation, acceleration and commercialization. This paper examines how networks support the development of RIs, focusing on when and how network partners become involved and how their role performances support the development of the four competences. The study context is the automotive industry, which is heavily dependent upon RI and complex interrelationships. Data were collected through in-depth interviews with network participants involved in developing several RIs. Five task-oriented and three network-oriented roles are uncovered and the performance of these roles supports the development of different competences, with some roles being exclusively connected with particular competences and others supporting several competences. Focusing on role performance offers a useful means for distinguishing between acontextual actors, and the activities and resources they bring. In doing so, the paper enhances understanding of the links between network participants, role performances and the development of RI competences, and identifies a number of important implications for theory and practice.     

企业集群环境下的公司创业研究——网络资源与创业导向对集群企业绩效的影响

环境复杂性和动态性的加强,导致更多的企业采取公司创业战略以获取持续竞争优势。然而,大多数研究忽视了网络资源对公司创业日趋重要的影响,尤其在企业集群环境下,仅从组织内部因素和产业环境因素难以解释公司创业的前因后果。基于网络视角,本文首先对公司创业的三种资源获取方式进行比较,认为网络资源是公司创业活动受益于企业集群的内在原因;进而对网络资源、创业导向与集群企业绩效的关系进行探索性研究;最后对浙江省集群企业的实证研究表明:创业导向、网络资源均与企业绩效有显著正相关性,网络资源显著提高了创业导向对企业绩效的贡献。     

The adoption of radical manufacturing technologies and firm survival

The emergence of dramatically innovative, or radical, new manufacturing technologies can force pivotal and life‐threatening decisions for industry competitors. These technologies can represent a huge cost for adopting firms, but may also offer the chance to achieve competitive advantage through superior manufacturing. While prior research has considered a range of production process decisions (e.g., JIT, mass customization) and outcomes for end‐product technologies, little attention has been given to adoption decisions relative to core manufacturing technologies. This study examines an industry's adoption of major manufacturing technologies over several decades and demonstrates that two groups of contingencies related to adoption (e.g., timing and cumulative effects) have a significant impact on firm performance. Based on a sample of over 1,000 firms, the results provide insights into the effects of adoption timing and ‘manufacturing technology bundles’ on firm survival. We also find that adoption of manufacturing technologies prior to the inflection point of the estimated Bass diffusion curve for each technology leads to significant reduction in firm mortality. Thus, we are able to demonstrate the ability of the Bass model to predict the survival outcomes of firms facing manufacturing technology adoption decisions. The strategic implications of these pivotal decisions are considered. Copyright © 2008 John Wiley & Sons, Ltd.     

Knowledge management and innovation in knowledge-based and high-tech industrial markets: The role of openness and absorptive capacity

Knowledge, as resource, and technological innovation, as a dynamic capability, are key sources for firm's sustained competitive advantage and survival in knowledge-based and high-tech industries. Under this rationale has emerged a research stream where knowledge management, organizational learning, or intellectual capital, help to understand and constitute the key pieces of one of the most complex business phenomena; the ‘firm's technological advantage’. This being so, it is also true that in knowledge-based and high-tech industrial markets, competitive success comes directly from continuous technological innovations, where a single organization cannot successfully innovate in isolation; therefore, firms should rely on external relationships and networks in order to complement its knowledge domains, and then, develop better and faster innovations. In this sense, I would like to highlight the cross-fertilizing role of three constructs that are nurtured by different research traditions: ‘collaborative/open innovation’, from Strategy and Innovation Management research; ‘absorptive capacity’, from ‘A Knowledge-Based View’; and ‘market orientation’, from Marketing research.     

The Role of Early Adopters in the Diffusion of New Products: Differences between Platform and Nonplatform Innovations

This paper takes a contingency view to investigate how the role of early adopters (EAs) in the diffusion process changes between platform and nonplatform innovations, what launch decisions firms take to leverage the role of EAs, and how these decisions change between platform and nonplatform innovations. Relying on an exploratory multiple case study of eight industrial product innovations launched in Italy in the 2000s, the paper suggests that the EAs of these innovations play two distinct roles in the diffusion process. The first role, called dissemination, sees EAs triggering and bolstering the propagation of information regarding their opinion about the value for money, properties, advantages, and disadvantages of the new product after they have bought and applied it in their operations. The second role, labeled imitation, consists of EAs inadvertently communicating to later buyers the fact that they have bought the new product, which propels imitative behavior and thus subsequent adoption. A key finding of the paper, which supports a contingency view of innovation diffusion, is that the dissemination role played by EAs has an impact on the adoption of platform innovations, whereas the imitation one is the mechanism through which EAs stimulate subsequent adoption in the case of nonplatform new products. Furthermore, the paper's results point to a constructive view of the process of launching an innovation, whereby firms target at launch different segments of EAs, whose identity is shaped depending on the platform versus nonplatform nature of the innovation and thus on the role they are expected to play in the diffusion process. Concerning managerial implications, this study provides a first tentative understanding of the launch decisions that product and marketing managers may use to target the most appropriate segments of EAs, to leverage their roles and ultimately to favor diffusion. As regards platform innovations, targeting decisions should be driven by the goal to improve the chances that EAs will be willing to disseminate their experience and opinion regarding the new product. As regards instead nonplatform innovations, firms should target EAs whose specific characteristics increase the likelihood of an imitative reaction by later buyers that fear to suffer a competitive disadvantage if they do not conform to EAs' behavior.     

Knowledge diversity and coordination: The effect of intrafirm inventor task networks on absorption speed

Research Summary: We combine the absorptive capacity and social network theory approaches to predict how intrafirm “whole” network characteristics affect the firm's speed of absorption of external knowledge to produce inventions. We start from the widely accepted view that distant, externally‐developed knowledge is difficult to absorb into the focal firm's own knowledge production. We suggest that high levels of intrafirm inventor task network diversity and task network density are essential for a diversity of knowledge inputs and coordinated actions regarding knowledge transfer, which in turn, reduces problems related to the absorption of knowledge—especially in the case of knowledge that is distant from the focal firm. The results of an event history study of 113 pharmaceutical firms that engaged in technology in‐licensing from 1986 to 2003 provide general support for our hypotheses. Managerial Summary: Firms keen to keep up with an uncertain and ever‐changing industry environment, can benefit from the speedy introduction of inventions. We examine how firms absorb licensed‐in technologies to nurture the rapid development of own related inventions. We show that a firm's absorption speed depends on the characteristics of the internal collaboration networks among the firm's inventor employees. More specifically, technologically diverse and well‐connected inventor networks improve the firm's ability to absorb external technologies quickly. This applies especially to externally acquired technologies that are unfamiliar to the firm. Depending on the distance of the acquired technology from the focal firm combined with speed‐inducing inventor network characteristics, our estimates suggest that firms can reduce the time needed for absorption by several months.     

The Importance of Social Capital to the Management of Multinational Enterprises: Relational Networks Among Asian and Western Firms

Social capital is an important concept for multinational firms. Firms operating in global markets rarely have adequate resources to compete effectively in global markets; they access the needed resources through formal and informal relationships with other firms. The cultures in Asian countries have emphasized relationships much more strongly than Western firms. Thus, relational capital, based on guanxi (China), kankei (Japan) and inmak (Korea), provides the framework for business dealings in many Asian countries. As a result, the social capital of many Asian firms gives them a potential competitive advantage in global markets. Western firms must develop social capital and learn to manage relational networks to gain and sustain a competitive advantage in global markets. Western firms can learn how to develop and manage social capital from Asian firms. Alternatively, social capital has some disadvantages. Firms are limited by their networks and thus experience opportunity costs and path dependence. Additionally, while Asian firms often have strong network ties in their domestic markets, they have to develop many more ties globally to operate effectively in global markets. As a result, the development and management of social capital has become of critical importance for competitive advantage in global markets.     

Learning: The interface of quality management and strategic alliances

In this paper, we investigate the practice of quality management in strategic alliances. By employing a relational view of inter-organizational competitive advantage, the paper addresses the concept of quality management in strategic alliances and networks. We argue that institutional/network relationships influence the practice of quality within a network. In that regard, firms that have adopted quality management practices are more effective in managing and coordinating their interactions with other firms in the network, which results in their enhanced learning capability within the alliance.The proposed framework recognizes the role of trust and cooperative learning as critical factors that affect the success of strategic alliances. It has been argued that firms within an alliance need to achieve the paradox of control and learning. We examine the role of trust as a control mechanism in strategic alliances and address the importance of cooperative learning within alliances. Several hypotheses have been proposed and future research has been outlined.     

Stimulating 'hot technologies': interorganizational networks in Dutch ceramic research

The role of interorganizational R&D networks between firms and universities in knowledge transfer of advanced technologies is analyzed. The starting assumption (coinciding with reasons of government bodies to support technological cooperation) is that a national knowledge and technology system exists. From this assumption a number of questions that exist about knowledge and technology transfer can be discussed. Notably whether the knowledge push model of technological innovation is valid. This is done through the analysis of the differences in the pattern of external contacts that exists between the scientific, industrial and policy organizations.
Empirical results of a case study of the stimulation of advanced ceramic technology by the Dutch government form the basis. Advanced ceramics is considered to be an emergent technology within the larger framework of generic technologies. However, the Dutch university and industry structure in this area is weak which raises a number of important questions about the possibility to built a technological infrastructure through government support. The paper concentrates on the role of resource and information flows, which characterize the position of specific organizations in the R&D network. The three main positions in this case are occupied by government bodies, various firms and the university and government laboratories.
Two conclusions on knowledge transfer in university-industry cooperation may be drawn. (a) Institutional (government and university) and industrial research networks are different in character and in fact they consist of different network elements. (b) Government policies, in this case, affect the outlook of scientists but not of firms.     

Factors for improving the level of knowledge generation in new product development

Globalization and other rapid changes in markets and technologies increasingly require companies to generate new knowledge in order to remain competitive. In order to innovate successfully, firms must generate knowledge faster than their rivals. This study develops and tests a conceptual model that focuses on how managerial controllable variables influence the level of knowledge generation in new product development. Based on literature and 'theory-in-use' field research in seven knowledge-intensive organizations, the authors developed research hypotheses and tested the hypotheses using data collected from 277 firms in high technology industries. The findings suggest that information technologies, organizational crisis, individual commitment, the R&D budget, and job rotation increase levels of knowledge generation, whereas lead user and supplier networks are negatively associated with the level of knowledge generation in new product development, and the influence of co-location of R&D staff is not significant.     

Towards a model of dynamic capabilities in innovation-based competitive strategy: Insights from project-oriented service firms

With the growing significance of services in most developed economies, there is an increased interest in the role of service innovation in service firm competitive strategy. Despite growing literature on service innovation, it remains fragmented reflecting the need for a model that captures key antecedents driving the service innovation-based competitive advantage process. Building on extant literature and using thirteen in-depth interviews with CEOs of project-oriented service firms, this paper presents a model of innovation-based competitive advantage. The emergent model suggests that entrepreneurial service firms pursuing innovation carefully select and use dynamic capabilities that enable them to achieve greater innovation and sustained competitive advantage. Our findings indicate that firms purposefully use create, extend and modify processes to build and nurture key dynamic capabilities. The paper presents a set of theoretical propositions to guide future research. Implications for theory and practice are discussed. Finally, directions for future research are outlined.