Value Creation and Value Capture in Open Innovation

Open innovation has attracted a significant amount of attention from scholars and practitioners. Prior research on open innovation has mainly focused on collaborative inventing. However, understanding the processes and outcomes of joint inventing is not sufficient for understanding sustained open‐innovation activities and the competitive advantages of the actors involved in open innovation. Instead, an understanding of value creation and value capture is paramount for advancing our understanding of sustained open‐innovation activities. Open innovation requires collaboration among distributed but interdependent actors who rely on each other’s capabilities for value creation and capture. Value in open innovation is driven not only by actors’ value creation but also by their ability to capture value. While value creation and value capture are discussed in the open‐innovation literature, the advancement of this stream of research is hindered by conceptual ambiguity, especially in relation to the concept of value capture. This article adopts a value perspective on open innovation, offers consistent conceptualizations of value creation and value capture, and outlines potential avenues for further research at the interface of open innovation, value creation, and value capture.     

From collaborative community to competitive market: the quest to build a crowdsourcing platform for social innovation

Crowdsourcing presents new opportunities to generate social innovation. However, many crowdsourcing social innovation initiatives struggle with turning their promising projects into sustaining platforms. We studied how to design crowdsourcing platforms for social innovation by building and examining a platform called travel2change. We illustrate a framework of crowdsourcing platform building blocks based on the evolution of our case study from a collaborative community to a competitive market. Thriving platforms have a clear purpose, they facilitate value‐creating interactions for well‐understood actors and build a valid business model. The insights reveal design principles to guide organizations that seek to leverage crowdsourcing for social impact.     

Open social innovation dynamics and impact: exploratory study of a fab lab network

The aim of this research is to explore the dynamics and impact of open social innovation, within the context of fab labs and makerspaces. Using an exploratory methodology based on 12 semi‐structured interviews of fab lab founders belonging to The Centres for Maker Innovation and Technology (CMIT) programme – a network of 170 fab labs located in Eastern Europe – this research explores the impact of an adopting an open approach in relation to the different stages of social innovation (prompts, proposals, prototypes, sustaining, scaling and diffusion, systemic change) as well as social impact. The main results of this study are that while the CMIT programme provided each fab lab with similar initial conditions (identical funding, objectives and rules), the open social innovation approached adopted enabled to give birth to a wide diversity of fab labs, each being very well adapted to the local environment, social needs and constraints and able to deliver social impact in just a matter of years; a result that would be hard to achieve with a centralised top‐down approach. The study identified three types of CMITs – Education, Industry and Residential – which could be similar or different depending on the stage of social open innovation. Furthermore, this paper discusses the main difficulties social entrepreneurs encounter as a part of the open social innovation process, as well as means to overcome them. In this respect, this study adds to the literature on fab labs by providing more comprehensive view of the challenges faced by fab labs (and makerspaces) founders, as well as suggestions of strategies enabling to ensure their long‐term sustainability.     

A rolling stone gathers no moss: the effect of customers' perceived business model innovativeness on customer value co‐creation behavior and customer satisfaction in the service sector

Both researchers and practitioners have been focusing extensively on business model innovation, as it has shown to positively influence business performance. Although the effect of business model innovativeness on customer behavior might be an important mediator between business model innovation and business performance, it has not yet been analyzed. In line with recent calls to consider the customer side in business model innovation research, our paper addresses this problem by studying the influence of customers' perceived business model innovativeness (CPBMI) on customer satisfaction and customer value co‐creation behavior in the service sector. We, therefore, emphasize customers' perceptions and reactions to business model changes. Relying on data from a large‐scale survey of restaurant customers, we find that perceived value creation innovativeness and value proposition innovativeness positively affect customer satisfaction and customer value co‐creation behavior. In addition, we identify a significant indirect effect of CPBMI on customer satisfaction via customer value co‐creation behavior. Our findings allow deriving concrete implications for both researchers and practitioners.     

Value creation by knowledge‐based ecosystems: evidence from a field study

A growing number of research and development‐driven companies are located in knowledge‐based ecosystems. Value creation by these ecosystems draws on the dynamics of single firms (interacting and partnering) as well as the ecosystem at large. Drawing on a field study of a Dutch high‐tech campus, two key sources of value creation are identified: (1) facilitation of the innovation process for individual companies and (2) creation of an innovation community. Furthermore, the coevolution of the ecosystem's business model with firm‐level business models explains why technology‐based firms join, stay in, or leave the ecosystem at a certain point in time. A remarkable finding is that ecosystem managers have to deliberately facilitate exit routes for companies that no longer fit the ecosystem in order to enhance and reinforce its business model. As such, this study suggests a dynamic capability perspective on knowledge‐based ecosystems that need to develop a business model at the ecosystem level to create sufficient innovative capacity and entrepreneurial fitness.     

基于价值网络重构的企业商业模式创新

建构价值网络逐步成为企业商业模式创新的重要方式,但狭义的价值网络观对企业盈利机理的解释并未突破价值链将投入转换为产品的传统逻辑。本文从更广义的价值生态系统角度剖析网络价值交换逻辑和企业价值的实现机理,从网络重构出发分析了五种不同的商业模式创新路径。本文认为,受竞争压力与技术变迁的推动,网络组织的价值创造逻辑呈现颠覆性变化:顾客价值创造与企业价值实现的分离。这种分离导致许多企业即使实现了顾客价值最大化也未必产生收入,尤其面对互联网的免费经济趋势,企业只有重构价值网络、拓展新的收入源才能实现盈利并保证商业模式的稳定性。     

Co‐creation in Radical Service Innovation: A Systematic Analysis of Microlevel Processes

This empirical paper presents the results of a detailed case‐study investigation of co‐creation in radical service innovation. The rationale for the paper is that detailed interventions must be tracked to offer a realistic account of how co‐creation occurs. This provides a strong empirical contribution to the emerging body of scholars developing the co‐creation paradigm, predominantly characterized by conceptual advances in service‐dominant logic. Our focus is on radical service innovation, which is disruptive in the sector. The overall aim of the paper is to unravel the nature of microlevel processes of co‐creation in radical service innovation. The study adopts sequential analysis to examine co‐creation. Patterns of sequences of actions and interactions associated with 40 incremental developments, involving multiple actors, are investigated. These co‐created innovative developments underpin the emergence of a radical telematics‐based motor insurance service. The findings suggest that the co‐creation path is not simple or uni‐faceted, and the paper unravels the nature of complex patterns of activities and interactions, Our in‐depth systematic analysis illuminates a combination approach with two main patterns of sequences: one dominated by ad‐hoc and enduring independent innovation activities by network actors and one dominated by lead‐firm innovation and interaction activity. The findings advance knowledge of the way co‐creation occurs in radical service innovation. The study results suggest that managerial attention be placed to, first, finding ways to induce independent innovative behavior from network partners and, second, to the development of interaction mechanisms to foster sharing and visualization of such innovation advances.     

Change processes in open innovation networks – Exploring living labs

Examining change in business networks can illuminate how time, temporality and process unfold and engage different stakeholders in open innovation. Living labs are increasingly popular open innovation networks that provide a fruitful area in which to study change processes and their influencing factors in network dynamics. We adopt a longitudinal process perspective to analyze eight living labs focused on urban development in a Northern European city. Our analysis reveals six pertinent processes: (i) expansion, (ii) reinforcement, (iii) focusing, (iv) unification, (v) termination, and (vi) recurrence. These processes reflect change in networks characterized by diverse actors, the coexistence of individual and shared motives, a high degree of openness, and user involvement. The identified change processes are a result of living labs disclosing their needs, data, and operations to their stakeholders. We propose a theoretical concept, which we describe as “network boosters”, to illustrate the factors that foster change processes. Scholars and practitioners of innovation management can learn from these findings that understanding change in open innovation networks may help to depict and predict short- and long-term relationships, and it may assist them in managing innovation in open environments.     

Facilitating open innovation processes through network orchestration mechanisms

Participation in open innovation networks presents challenges, as firms must recognize value before being willing to openly collaborate, yet opportunities typically cannot be realized without active engagement. Innovation intermediaries can address these tensions through orchestration mechanisms which create value at different levels of innovation networks. This paper addresses an important research gap by identifying the role of intermediaries in delivering open innovation activities across different levels and describing how these activities form interrelated orchestration mechanisms. A longitudinal case study follows the development of an open innovation network from inception, based on interviews and observations with participants including start-ups and large firms. Findings highlight how intermediary activities and practices align with orchestration mechanisms used simultaneously at different levels and create value for members. A multi-level analysis contributes to the open innovation literature by describing the interdependent nature of value creation within the innovation intermediary model.     

Resource orchestration for team‐based innovation: a case study of the interplay between teams,customers, and top management

The resource orchestration concept has attracted considerable interest in contemporary innovation research. However, resource orchestration is a manager‐centric framework and not all of its components necessarily reflect the value‐creation processes of organizations focusing on team‐based innovation. Drawing on a single‐case study of an innovative Swedish software company, we illustrate the roles of autonomous teams, customers, and top managers in orchestrating resources for team‐based innovation. Moreover, we introduce the concept of resource flocculation to describe how key actors co‐orchestrate various resource orchestration processes. The study contributes to research on resource orchestration by adapting the model to the conditions characterizing team‐based innovation, and to research on team‐based innovation by addressing how innovative teams are related to overall resource orchestration processes and, ultimately, organizational innovation outcomes.     

Open Service Innovation: The Role of Intermediary Capabilities

This study examines how intermediaries, in general, and those with digital service platforms specifically, engage with clients to help them innovate their services within their service ecosystem. Based on an embedded, longitudinal case study, the results reveal the cumulative development and deployment of technological, marketing, and co‐creation capabilities by intermediaries, and how these capabilities allow intermediaries to engage with clients, so as to enable clients’ open service innovation despite their internal challenges. In turn, this article extends theory on service innovation by clarifying the role and function of intermediaries in service ecosystems in enabling clients to leverage open service innovation. Second, this study contributes to resource‐based scholarship by clarifying how these three sets of capabilities and their micro‐foundations relate to each other. Despite the obvious importance of technological capabilities, online intermediaries are more than just “virtual” service platform providers. The intermediary’s technological and marketing capabilities assist clients in dealing with project‐related and organizational challenges to open service innovation. Acting as a higher‐order capability, co‐creation capabilities—through shaping marketing and technological capabilities over time and also through conditioning their deployment—improve the proficiency of these capabilities. The findings advance insights on the agential role of the intermediary’s co‐creation capabilities, purposefully developed and deployed to foster client engagement, and thus support service organizations in leveraging open service innovation.     

Write Code,Save Lives: How a Community Uses Open Innovation to Address a Societal Challenge

This study explores how a community uses open innovation over time to tackle a global societal challenge. we conduct an in‐depth case study of OpenMRS, an open‐source software community providing affordable medical record‐keeping software in developing nations. We develop a process model that describes how inbound, outbound, and coupled open innovation influenced the community through four discrete phases of community development. We explain how the founders’ vision led to the creation of the community, and how increasing community participation and community governance facilitated its growth. Interestingly, we found that economic opportunities made possible by open innovation may paradoxically create challenges to community sustainability. Ultimately, this study expands our understanding of open innovation communities in different settings, and their role in addressing societal challenges.     

Value Creation and Value Capture Alignment in Business Model Innovation: A Process View on Outcome-Based Business Models

Industrial manufacturers are innovating their business models by shifting from selling products to selling outcome-based services, where the provider (manufacturer) guarantees to deliver the performance outcomes of the products and services. This form of business model innovation requires a profound yet little understood shift in how value is created, delivered, and captured. To address this research gap, our study examines two successful and four unsuccessful cases of this shift. We find that effectiveness in business model innovation hinges on the three process phases that unfold in collaboration with the customers: value proposition definition, value provision design, and value-in-use delivery. We also find that that success is determined by the alignment of specific value creation and value capture activities in each phase: identifying value creation opportunities—agreeing on value distribution in value proposition definition, designing the value offering—deciding on the profit formula in the value provision design, and finally refining value creation processes—regulating incentive structures in the value-in-use delivery. Our process model contributes to the literature and practice on business model innovation by providing a thorough understanding of how alignment of value creation and value capture processes is ensured, whilst paying special attention to their interdependence and the interactions between provider and customer.     

Actor roles and role patterns influencing innovation in living labs

Innovation networks are embodied and shaped by their participants. This paper examines actors' roles in living labs, which are defined as networks of open innovation. The study utilizes four approaches to roles: structuralist, symbolic interactionist, resource-based, and action-based approaches. Our empirical analysis of 26 living labs in four different countries identifies a number of actor roles associated with open innovation. In addition, it reveals four role patterns characteristic of living labs: (i) ambidexterity, (ii) reciprocity, (iii) temporality, and (iv) multiplicity. These patterns distinguish actor collaboration in networks characterized by heterogeneous actors, the coexistence of individual and shared motives, high degree of openness, and user involvement. Scholars and practitioners of innovation learn that understanding of role patterns in living labs can contribute to building, utilization, and orchestration of open innovation networks.     

Leveraging External Sources of Innovation: A Review of Research on Open Innovation

This paper reviews research on open innovation that considers how and why firms commercialize external sources of innovations. It examines both the “outside‐in” and “coupled” modes of open innovation. From an analysis of prior research on how firms leverage external sources of innovation, it suggests a four‐phase model in which a linear process—(1) obtaining, (2) integrating, and (3) commercializing external innovations—is combined with (4) interaction between the firm and its collaborators. This model is used to classify papers taken from the top 25 innovation journals, complemented by highly cited work beyond those journals. A review of 291 open innovation‐related publications from these sources shows that the majority of these articles indeed address elements of this inbound open innovation process model. Specifically, it finds that researchers have front‐loaded their examination of the leveraging process, with an emphasis on obtaining innovations from external sources. However, there is a relative dearth of research related to integrating and commercializing these innovations. Research on obtaining innovations includes searching, enabling, filtering, and acquiring—each category with its own specific set of mechanisms and conditions. Integrating innovations has been mostly studied from an absorptive capacity perspective, with less attention given to the impact of competencies and culture (including “not invented here”). Commercializing innovations puts the most emphasis on how external innovations create value rather than how firms capture value from those innovations. Finally, the interaction phase considers both feedback for the linear process and reciprocal innovation processes such as cocreation, network collaboration, and community innovation. This review and synthesis suggests several gaps in prior research. One is a tendency to ignore the importance of business models, despite their central role in distinguishing open innovation from earlier research on interorganizational collaboration in innovation. Another gap is a tendency in open innovation to use “innovation” in a way inconsistent with earlier definitions in innovation management. The paper concludes with recommendations for future research that include examining the end‐to‐end innovation commercialization process, and studying the moderators and limits of leveraging external sources of innovation.     

Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance

This paper draws on the social and behavioral sciences in an endeavor to specify the nature and microfoundations of the capabilities necessary to sustain superior enterprise performance in an open economy with rapid innovation and globally dispersed sources of invention, innovation, and manufacturing capability. Dynamic capabilities enable business enterprises to create, deploy, and protect the intangible assets that support superior long‐ run business performance. The microfoundations of dynamic capabilities—the distinct skills, processes, procedures, organizational structures, decision rules, and disciplines—which undergird enterprise‐level sensing, seizing, and reconfiguring capacities are difficult to develop and deploy. Enterprises with strong dynamic capabilities are intensely entrepreneurial. They not only adapt to business ecosystems, but also shape them through innovation and through collaboration with other enterprises, entities, and institutions. The framework advanced can help scholars understand the foundations of long‐run enterprise success while helping managers delineate relevant strategic considerations and the priorities they must adopt to enhance enterprise performance and escape the zero profit tendency associated with operating in markets open to global competition. Copyright © 2007 John Wiley & Sons, Ltd.     

Only the Brave: Product Innovation,Service Business Model Innovation,and Their Impact on Performance

Recent empirical findings concerning the performance effects of service business model innovation (servitization) and its interplay with product innovation are mixed. Using the lenses of the demand‐based view on value creation and complementarity, the performance impact of two key service business models is examined: the product‐oriented model and the customer‐oriented model, implemented jointly with product innovation. Results indicate that the interplay between service business model innovation and product innovation results in long‐term performance benefits coupled with a degree of short‐term performance sacrifice. Service business model innovation in isolation from product innovation results in short‐term profit gains but long‐term knowledge loss and, thus, market performance decline. Our study suggests that firms need to look beyond the evidence on short‐term effects in order to achieve superior performance in the long run.     

Dark Side or Bright Light: Destructive and Constructive Deviant Content in Consumer Ideation Contests

Firms use ideation contests to generate ideas from consumers. This type of collaboration provides access to new knowledge and reveals latent consumer needs. But it also is risky, as firms give up control to an unknown crowd. Some contestants use ideation contests to post content that is unintended and unwanted by contest hosts, a behavior that represents deviant co‐creation. Drawing on literature from sociology and consumer research, deviance is defined as a relative, norm‐violating behavior that has the potential to activate others. We report the results from a netnography study to define the phenomenon of deviant co‐creation in ideation contests. Based on these findings, we provide a theoretical foundation for deviant co‐creation and conceptualize and empirically illustrate various patterns of deviant content, ranging from destructive to constructive. The study reveals that deviant content in ideation contests includes illegitimate as well as legitimate content. Legitimate content includes five themes: humorous, provocative, unique, violation from technical, and social norms. Deviant content usually bewilders evaluators and draws their attention to the content. Destructive deviant content may trigger visible and malicious protests or result in mocking and ridicule on the contest platform and other social media, thereby exposing the contest host to reputational risks. Constructive deviant content can lead to positive discussions in comment sections and other social media outlets, as well as foster further development of an initial idea, thereby contributing to the firm's innovation potential. This article provides managers a deeper understanding of deviant content raising awareness for the dark side risks as well as indicating how to leverage it to achieve constructive co‐creation.     

A relationship value perspective of social capital in networks of software SMEs

Utilizing theories on social capital, business networks, social networks and relationship value, we explore the aspects that provide specific value in relationships with different actors in the software industry. The motive for the study is the assumption that some relationships are regarded as more important than others, and companies strive to focus on fewer relationships with greater outcomes. The study is guided by the premise that social capital is a foundation for relationship value, and its identified elements differ among relationships. We take the perspective of software companies and classify their relationships with business partners into three distinctive types according to their function in the value creation process. The findings of our empirical analysis, based on a qualitative case study of eight software SMEs indicate that the aspects of social capital, like the sources of relationship value, vary systematically by the types of relationships. Thus, we are able to provide some theoretical and managerial implications on the management of small- and medium-sized companies.     

Crowdsourcing without profit: the role of the seeker in open social innovation

Crowdsourcing has increasingly been studied as an open innovation (OI) mechanism by which organizations (seekers) engage with an external crowd of potential solvers. Previous crowdsourcing research has focused on solvers and their individual motivations, providing few insights as to why and how seekers use crowdsourcing, and how these choices affect the value that might be realized from these efforts. Prior research has also emphasized profit‐seeking firms, despite the use of OI practices by public sector organizations to achieve societal benefits. This paper examines the organizational and project‐level choices of government agencies that crowdsource from citizens to drive open social innovation, and thus develop new ways to address societal problems, a process sometimes termed ‘citizensourcing.’ Using rich data from 18 local government seekers that use the same intermediary, we develop a model of seeker crowdsourcing implementation that links a previously unstudied variance in seeker intent and engagement strategies to differences in project team motivation and capabilities, in turn leading to varying online engagement behaviors and ultimately project outcomes. Our study compares and contrasts governmental and corporate crowdsourcing to reveal that the non‐pecuniary orientation of both seekers and solvers means that the motives of government crowdsourcing are fundamentally different from corporate crowdsourcing, but the process in our sample more closely resembles that of a firm‐sponsored community rather than government sponsored contests. More generally, we show how seeker organizational factors and choices shape project‐level implementation and success of crowdsourcing efforts, as well as provide insights for OI activities of other smaller, geographically bound organizations.