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This paper investigates the relationships among supply chain participants’ involvement at various stages of new product development (NPD) and a firm’s innovation outcomes in terms of number of new product introduction and new product radicalness. A total of 107 questionnaires were collected from a cross-sectional survey of NPD managers. Results show significant impacts of suppliers’ and customers’ involvement on the firm innovation outcomes in the various NPD stages. Suppliers’ involvement in the firm NPD process influences negatively or is not related to firm innovation success in the various NPD stages. However, customers’ involvement affects positively or is not related to firm innovation success in the various NPD stages. This indicates that the distinct features of the various NPD stages make customer or supplier involvement more or less appropriate at each stage. Therefore, this paper provides significant managerial implications for supply chain practitioners regarding with whom, when, and how they set up supply chain strategy to improve their innovation performance.

What is the role of Knowledge Management Systems (KMS) for a firm's innovativeness and absorptive capacity (ACAP)? Research shows that a firm's capacity to acquire and utilise relevant knowledge, i.e., its absorptive capacity, is decisive for innovation success. We develop a theoretical model that links the availability and usage of KMS with a firm's ACAP and its organisational knowledge to explain its contribution for a firm's innovation success. Using data from 222 manufacturing firms, we can show that the availability of a KMS in a firm affects its innovation success by contributing to its ACAP. Looking at the impact of different knowledge types on innovativeness, the results show that only technological knowledge is a substantial determinant of innovation success but not market knowledge.

This study reports on the testing of a promising approach for aiding decision-making during innovation. By focusing on the effects of risk/action dyads on success (the Risk/Action/Success (R/A/S) framework), and because perceived risks do appear repeatedly even though they emanate from differing contexts, the model offers an opportunity to learn from what worked best before. Using Artificial Neural Networks, this novel approach allows for generalisation and applicability of specific innovation management actions that are context specific. For academics, the proposed approach contributes to the risk-management literature by proposing a new paradigm for understanding and analysing innovation processes and identification of the most frequently occurring risks as seen by managers directly involved in continuous innovation. In addition, the model offers the capacity to use quantitative techniques to model the overlapping risks and actions during innovation-related decision-making. For practitioners, it can provide specific recommendations in the form of success-sorted lists of actions taken by other innovation managers that faced similar risks. This paper presents the theoretical and practical rationales underpinning this R/A/S framework and reports on the viability of this approach using pilot data.

The concept or paradigm of open innovation has gained more and more attention over the last couple of years. Firms see open innovation nowadays as an important capability to build and maintain innovativeness, even in dynamic global markets. Nevertheless, there is still a lot of uncertainty regarding the question which factors determine successful innovation within the open innovation environment. In this regard, based on the dynamic capabilities view, we hypothesise that a firm’s openness, its absorptive capacity and its flexibility primarily determine innovation success in in-bound open innovation environments. To test these hypotheses, we analyse a large scale survey sample of 496 German manufacturing companies from different industries by applying structural equation modelling. As a main result, we find evidence for a positive association between the three mentioned constructs and innovation success.

The objective of this paper is to enrich the literature on the entrepreneurial orientation (EO)–performance relationship by introducing innovation success as an antecedent variable. By applying structural equation models, we examine a sample of 356 individuals from five organisations. The main results show that the team leader EO and firm EO are complementary and that they boost innovation success significantly, thereby having an indirect positive impact on the relationship between EO and performance. The mediating effects of innovation success imply that it is an antecedent in the EO–performance relationship at organisational levels, which adds to current theoretical discussions regarding the multilevel applicability of the EO construct. Thus, this study represents an original source for human resource departments that are shaping working groups.

A case research approach is employed for investigating and comparing managerial perceptions of the three types of innovation (service, product, and process innovations) within the context of cross-functional network of a European steel manufacturing firm. The insights result in the development of a typology of innovation projects based on origin, context, scope, benefits, and degree of complexity. The findings embedded in Resource Based View and Service Dominant Logic, reveal divergent aspects of the three types of innovation such as disparate reasons for undertaking each type of innovation and distinct internal and external success factors, as well as convergent aspects of the innovation types such as similar challenges. This research explores the three types of innovation in a single firm in a single study and provides a middle ground for the two extant schools of thought (one viewing product, service, and process innovations as entirely different processes and the other viewing all three as essentially same processes).

The Lean Startup approach and its related Minimum Viable Product thinking is one of the key trends not only in entrepreneurship, but also in more and more established companies. Before this background, this paper experimentally investigates whether and how the Lean Startup approach improves innovation processes in established companies. For this, the overall experiment had 23 participants, the outcome was then matched against a control group and evaluated through a survey with 146 representatives of the target group of the product. The results show that the Lean Startup approach outperforms the traditional approach and that this method improves the success rate of innovation ideas and thus supports the learning philosophy within established companies. Moreover, the experiment revealed a superior performance, especially relating to financial output. Based on these results, implications for research and companies are discussed, as well as limitations and further research suggestions.

The concept or paradigm of open innovation has gained more and more attention over the last couple of years. Firms see open innovation nowadays as an important capability to build and maintain innovativeness, even in dynamic global markets. Nevertheless, there is still a lot of uncertainty regarding the question which factors determine successful innovation within the open innovation environment. In this regard, based on the dynamic capabilities view, we hypothesise that a firm’s openness, its absorptive capacity and its flexibility primarily determine innovation success in in-bound open innovation environments. To test these hypotheses, we analyse a large scale survey sample of 496 German manufacturing companies from different industries by applying structural equation modelling. As a main result, we find evidence for a positive association between the three mentioned constructs and innovation success.