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Although failure has been described as a significant trigger for the organizational learning process, current literature studies have provided limited insight into the organizational conditions that foster learning from failure. Interpreting the organizational failure as a missed opportunity for a firm to anticipate, recognize, avoid, neutralize or adapt to external environment generating diverse misfits, our study investigates how firms respond to different misfits within and in their environment. Using interviews and document analysis, we identify four types of misfits-managerial, cultural, technical, and political-and examine how firms respond to these misfits over time. Our research reveals that firms exhibit distinct patterns of response and learning depending on the type of misfit encountered. We also identify specific strategies and resources that firms utilize to anticipate, prepare for, and respond to misfits, such as developing innovative solutions and cultivating external networks. Lastly, we discuss the managerial implications of our findings and propose avenues for future research.

If employees have access to additional relevant knowledge and information, they can be more innovative, which is a reason for many firms to ally. Key in an alliance is the sharing of existing and creating of new knowledge, but transferring knowledge inside an alliance is not obvious or easy. Knowledge exchanged within an alliance must be perceived as relevant in order for it to be used. If individuals in an alliance can readily perceive knowledge to be relevant, the right knowledge is transferred and is transferred in an efficient manner. Building on stickiness of knowledge and knowledge relevance theory, we examine the relationship between an individual's job experience as well as intrinsic motivation on the one hand, on their perception of the relevance of others' knowledge on the other hand. These relationships are positively moderated by an individual's favourable position and connection strength in the network of individuals engaged in the alliance, respectively. We find a weak but insignificant negative relationship between job experience and perceived knowledge relevance. Being well-positioned in a network brings out the positive effect of job experience, as expected, whereas connection strength does not further enhance the positive effect of intrinsic motivation.

An important way for the agrifood industry to continue to feed a growing world population as well as reduce its environmental impact is to extensively adopt Information Technologies that will “datafy” the industry. While the promises of datafication are high, the realization is lagging behind. We identify and discuss from an institutional economics point of view three related issues that help explain needs run behind realization: supply of data is separated from use of data; data quality, interoperability and standardization; and data completeness.

In recent years, the rapid growth of user-generated content has led to much research evaluating the patterns of online information exchange. These studies demonstrate that online communities are valuable data sources which provide rich, longitudinal data that would otherwise be difficult, if not impossible to access. Given the increased research interest, mining and analysing online social networks has become an important research domain, encompassing a variety of approaches. To analyse the large number of observations commonly found in online communities, we propose to first mine the data using a so-called Webscraper and then combine Social Network Analysis (SNA) with Sentiment Analysis to explore both content and relationships. The hands-on approach described in this article is targeted at researchers without a background in technical disciplines. Instead of focusing on some of the specific algorithms that facilitate the mining and analysis of online data, we describe how to use and combine out-of-the-box solutions to collect and analyse the online network data. Moreover, we document the steps taken and present important lessons learnt throughout the process of collecting and analysing data from an online health community with 108,569 registered users who contributed to 197,980 discussions with a total of 484,250 replies. In sum, our method proposes to: • Extract all relevant data from an openly accessible online community using a Webscraper. • Determine and visualise the relationships between users and the properties of the social network as a whole using Social Network Analysis. • Conduct Sentiment Analysis to detect the emotional tone of the online contributions, and to possibly infer further variables from the text such as the personality characteristics of users.

CONTEXT: Digital technologies nowadays play a major role in innovation within the agri-food domain. The evolution of IT systems has currently arrived at a level that involves complex systems integration and business ecosystems in which many stakeholders in different roles are involved. A new paradigm for digital innovation is needed that copes with this increased complexity. OBJECTIVE: This paper presents an empirically informed framework for analysing and designing viable, sustainable digital innovation ecosystems in the agri-food domain. METHODS: The research is based on a series of European large-scale public-private innovation projects from 2011 to 2021 with a total budget of 73 M€. They involved hundreds of stakeholders that were developing a large number of digital solutions through which a digital innovation ecosystem for agri-food was formed. In a longitudinal study, a conceptual framework was used to analyse these projects and describe how the digital innovation ecosystem has developed. Lessons learnt are translated into a number of design principles and an organizational approach to foster digital innovation ecosystems in agri-food. RESULTS AND CONCLUSIONS: The conceptual framework consists of 6 key concepts: (i) innovation strategy, (ii) innovation organization, (iii) innovation network that contains (iv) the innovation process and (v) the innovation object and finally (vi) an innovation infrastructure. Along these 6 concepts, lessons learnt and in total 21 design principles are derived from analysing the projects forming a basis for the organizational framework. At the core of this framework is a lean multi-actor approach to trials and use case development interacting with a set of multidisciplinary activities: (i) developing a common technical collaboration infrastructure, (ii) identifying value streams with user engagement, (iii) engaging the right partners and stakeholders at the right time supported by strategic project planning and dynamic managemen

Small and medium-sized enterprises (SMEs) are pushed to introduce new technologies due to different requirements and changes in the business setting. The SMEs' transformation to exploit new technologies is challenging given their lack of resources and the complexity of technological transformation, which encompasses technology assimilation and business model innovation (BMI). Although studies recognize the complementarity of technology assimilation and BMI for benefiting from technology, the literature is fragmented, and the technological transformation phenomenon remains abstract, especially in the SMEs' context. To improve understanding of technological transformation in SMEs, a systematic literature review was performed on 165 peer-reviewed papers published from 1999 to 2022, building upon BMI and technology assimilation constructs. The descriptive analysis outlines the field's evolution in terms of research and technological trends. The content analysis shows that: most papers focus on factors; the literature falls short of providing theoretical conceptualization and guidelines for the technological transformation process; only a few studies are dedicated to assessing the outcomes of technological transformation in SMEs; and the papers suggest that SMEs present a low transformation level. Finally, we inductively built a framework for technological transformation and suggest five research avenues.

Coopetition may help firms to respond collectively to technological change, and compete against disruptive innovation. Yet, coopetition often creates tensions, as coopetitors need to engage in persistently contradictory activities. While existing research focuses on dyadic coopetition, we know much less about multilateral coopetition; specifically, how tensions in multilateral coopetition arise and how they are managed in response to disruptive innovation. We use an in-depth case study of nine Dutch firms, who respond to digital disruption by introducing a new digital music platform, to analyse how tensions evolve in a multilateral coopetition entity. Our findings reveal two coopetitive tensions: a novel multilateral generalist–specialist contribution tension, and the well-known value creation–capture tension. The generalist–specialist contribution is an actor-activity-based tension that originates from the variable contributions of different vertical and horizontal coopetitors over time. Coopetitors try to resolve or balance this tension constantly via commensuration and orchestration of individual coopetitors' contributions, but the tension remains dormant and therefore re-appears. The second tension appears to stabilize over time as the coopetitive entity manages to balance the value creation–capture tension through an iteration of cooperation-inducing, competition-inducing and attendance to redirecting external events. The tensions are interlinked: the generalist–specialist contribution tension triggers subgroup coalition formation, which spurs the value creation–capture tension. We contribute to the coopetition literature by explaining how tensions emerge and are managed in multilateral coopetition, pointing to a new tension inherent in multilateral coopetition. Furthermore, we show how disruptive innovation uniquely shapes multilateral coopetition by inducing cooperative behaviour.

The Stage-Gate process is a tool used by innovation managers to rationalize resource allocation the innovation process by breaking the innovation process into different stages, and determining progress and prospects at gates using pre-determined criteria. This study determines the performance impact of investing financial resources relatively heavily in the front-end or early stages of new product development (NPD) projects. Data was collected for NPD projects for one of the largest consumer electronics firms in the world. Investing relative more resources in front-end activities positively affects performance. The degree of newness of an NPD project positively moderates this relationship.

Suggesting socio-cultural values are selectors of institutions and institutional practices, and institutions in turn are selectors of (economic) behaviors, we investigate what explains the persistence of institutions that were aligned with past socio-cultural values when the values subscribed to in society have fundamentally changed. What, in other words, explains the persistence of obsolete institutions? We do so by investigating the labor market situation for academics in post-communist societies in Europe.

Purpose: All firms' business models are based on their interdependencies with other parties in their ecosystems. The Internet of Things (IoT) is beginning to fundamentally disrupt the agri-food industry, forcing the ecosystem to change. When an ecosystem is transforming, the interdependencies among its actors can create friction. Technology providers and core actors should consider these interdependencies as they update their strategies for value creation and capture. The purpose of the present research is to consider what it might take for agri-food firms to capitalize on these interdependencies by moving from traditional business models to business models based on collaboration and open innovation. Design/methodology/approach: The present paper draws on data from four online focus groups that we created to discuss how to co-create the business models agri-food firms need in a constantly changing environment. The paper presents an application of phenomenon-driven research (PDR), an engaged methodology. The study method enables novel pathways to develop and implement innovative solutions. This study draws on the interaction of theory and practice and involves multiple stakeholders with varying roles in the agri-food ecosystem. Findings: The authors found that any open innovation setup in agri-food needs to constantly reconfigure itself to balance the needs of farmers and the needs of the market. This interplay can only support the IoT-enabled ecosystem if continuous interaction and negotiation occur among various stakeholders of the food system. When the farmers' needs and the market's needs are aligned, the space for developing a collaborative and open business model is prepared. Originality/value: The insights gained from this study inspire action and commitment to common goals when developing collaboration-based business models (CBMs). The paper offers insights for players in the agri-food industry who are considering CBMs in the course of digital transformation