An approach to the cooperation for innovation in the service sector

This study examines how firms cooperate for innovation in the services sector. We tested the theoretical development using cluster analysis and ordinal logit regression analysis with firm-level data collected from the Spanish Technological Innovation Panel (PITEC) for the period 2011-2013. Overall, 2,622 service firms have been used. This research contributes as follows: firstly, the findings show that the greater degree of penetration into the innovation modes of the firms means that the intensity of the use of cooperative agreements as well as the diversity of cooperative partners increases. Secondly, the empirical evidence for the taxonomy of innovation development in the service sector provides firms with the ways how to innovate based on their strategic orientation

The Metrics to Evaluate the Health Status of OSS Projects Based on Factor Analysis

© 2019, Springer Nature Singapore Pte Ltd. As open-source software (OSS) development is becoming a trend, an increasing number of businesses and developers are joining OSS projects. For project managers, developers and users, understanding the current health status of a project is very important to manage a development process, select the open-source projects to development or to adopt the software packages developed by projects. Therefore, an efficient approach to evaluate the health status of the open-source project is needed. Unfortunately, although many approaches including metrics have been proposed, they are designed in arbitrary ways. In this paper, a math ematical tool, i.e., factor analysis, is used to build a health evaluation model for OSS projects. As far as we know, this is the first time that factor analysis has been applied to evaluate OSS projects. This model is based on GitHub data and uses the basic indexes that are closely related to the health status of the projects as the input. Then, six new synthetic metrics, namely community activity, project popularity, development activity, completeness, responsiveness and persistence are obtained through factor analysis, which can be used to calculate the overall health score of a project. Moreover, in order to verify the effectiveness of this model, it is applied to some real projects and the results show that the overall scores achieved by this model can reflect the health status of the projects

Toward an Analytical Understanding of Domination and Emancipation in Digitalizing Industries

In this introduction, the editors position the volume in the resurgent debate around the relationship between digitalization in industry and emancipation/domination. They argue that much of that debate suffers from three problems. First, it subscribes to a techno-deterministic logic of a string of technological revolutions and direct social consequences. Second, many of the most notable accounts operate on a binary logic which depicts the current wave of digitalization as either the technical realization of emancipation or as the final victory of domination. Third, critical social scientific analysis is hampered by the vague and indiscriminate use of central terms such as emancipation/domination, industry, and digitalization. The authors begin from tackling the latter issue by exploring these concepts and suggesting frameworks for reclaiming them as analytical categories. Finally, they introduce the contributions to the volume and sketch out, how these collectively address the remaining two problems by intervening into debates around digitalization in the workplace, the promises of digital fabrication, and the producing, configuring, and infrastructuring of users