1,721,008 research outputs found
Does Proximity really affect Innovation and Success? The case of Free/Libre Open Source Software
Measuring the openness of innovation
Measuring the openness of innovation is essential to understanding whether and under which conditions increasing openness is beneficial for organizations. However, no consensus has been so far achieved on which dimensions characterize the openness of innovation, which approach should be used to measure it, or which unit of analysis should be adopted. This paper proposes an approach, named ATOM (Aggregative Technique for Openness Measurement), to characterize and measure the openness of innovation, rooted in the concepts of knowledge supply (KS) and innovation practice (IP). As prescribed by the confirmation phase of theory building model, the approach has been successfully applied to a real innovation project. The paper contributes to clarifying the concept of innovation openness and attempts to improve its measurement by adopting a micro-level unit of analysis (i.e., single KS within an innovation project) as well as dimensions that extant literature considers relevant to managing external collaborations. The proposed approach can also support firms involved in an innovation project to (i) identify and measure the criticality of knowledge supplies, (ii) assess the openness of the adopted innovation practices, and (iii) support ex-post learning on the way the project was managed
Assessing The Openness Degree Of Knowledge Supply Chains
Organizations need to engage in collaboration networks to develop innovations. Such networks are defined as Knowledge Supply Chains (KSCs) and the involved collaborations as Knowledge Supplies (KSs). The paper proposes a methodology to map the KSs that an organization needs in developing innovation and to assess its openness degree, an evaluation in turn depending on the characteristics and the criticality of each supply. By taking into consideration different dimensions of the KSs and providing a measurement of their criticality, the methodology contributes to make the concept of openness clearer. The methodology can also be used by organizations to support (i) decision making and priority assessment in the allocation of resources, (ii) ex-post learning (lesson learnt) as to the knowledge acquired and used during New Product Development (NPD) and the degree, if any, of openness adopted
Different practices for open innovation: a context-based approach
Purpose – The authors aim to investigate the concept of open innovation, identify different open
innovation practices which help describe the continuum between closed and open innovation, and
propose a framework that suggests an association between innovation contexts and practices.
Design/methodology/approach – The authors first identify the variables to describe innovation
contexts and practices. Such variables are developed based on the literature and on a previous paper
by the same authors in 2011. Then, they establish an association between contexts and practices, and
test it through cases drawn from the existing literature.
Findings – The paper proposes a detailed assessment of open innovation practices and suggests the
association between each of them and diverse innovation contexts. A few case examples drawn from
the literature prove coherent with the theoretical framework underlying the proposed association.
Practical implications – The authors’ results (and specifically the framework) enhance the
organizations’ awareness of the open innovation concept and the possible practices to implement it,
as well as supporting managers to better select open innovation practices in different contexts.
Originality/value – This paper discusses the concept of open innovation practices to enhance the
comprehension of the open innovation concept. Also, to the authors’ knowledge, the proposed
association between context and practices is original in that there are no similar theoretical frameworks
that help organizations selecting innovation practices
Different practices to implement open innovation
Purpose - We discuss a classification of the open innovation practices based on the context in which they are to be implemented so as to support managerial decisions on the openness degree to adopt within an innovation project.
Design/methodology/approach - To address the purpose of the paper, we first identify the variables by which to describe the open innovation practices. Such variables, defined as collaboration approach, are developed based on (Bellantuono et al., 2011). Then, based on a review of the literature, we characterize the context wherein a company decides which practices to adopt. Finally, we classify the practices based on the context and provide some examples to better describe the classification.
Originality/value - The need to support innovation development by resorting to sources external to the organization (such as customers and suppliers) is not new. However, in the last years, companies and academia have paid much attention towards what have been defined as "open" innovation practices. Unfortunately, scholars discuss open innovation under very different perspectives, sometimes uncorrelated among each other, so creating conceptual ambiguity. The value of the paper is to enhance the comprehension of the concept of open innovation by providing a classification of the open innovation practices.
Practical implications - The proposed classification helps companies involved in open innovation to identify practices appropriate to the specific context wherein the innovation is developed
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