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This paper aims to propose an interpretive framework to understand how machine learning (ML) affects the way companies interact with their ecosystem and how the introduction of digital technologies affects the value co-creation (VCC) process.

This study bases on configuration theory, which entails two main methodological phases. In the first phase the authors define the theoretically-derived interpretive framework through a literature review. In the second phase the authors adopt a case study methodology to inductively analyze the theoretically-derived domains and their relationships within a configuration.

ML enables multi-directional knowledge flows among value co-creators and expands the scope of VCC beyond the boundaries of the firm-client relationship. However, it determines a substantive imbalance in knowledge management power among the actors involved in VCC. ML positively impacts value co-creators’ performance but also requires significant organizational changes. To benefit from VCC via ML, value co-creators must be aligned in terms of digital maturity.

The paper answers the call for more theoretical and empirical research on the impact of the introduction of Industry 4.0 technology in companies and their ecosystem. It intends to improve the understanding of how ML technology affects the determinants and the process of VCC by providing both a static and dynamic analysis of the topic.

ASTM D01.56 on Printing Inks, a subcommittee of standards‐writing Committee D‐1 on Paint and Related Coatings and Materials, has announced the approval of five standard test methods for the evaluation of printing inks and prints.

Over recent years there has been a significant drive away from traditional procurement routes where contractors find themselves with an increasing responsibility for the control of the design – a process they have had little experience in managing. Yet this is an area of significant opportunity for those contractors who can adapt quickly and effectively to the changing construction market. However, many current processes are insufficient to manage today's demanding and fast‐moving projects. This paper aims to address this issue

The paper reflects on the deployment of a design management training initiative to improve performance in a major UK civil and building design and construction company. It investigates the impact of the training initiative, critical practices and a suite of 25 tools on design management performance across the company. The methodology included a structured questionnaire, design management maturity assessment, semi‐structured interviews and a case study.

The paper highlights benefits delivered by the initiative as well as the practices and tools crucial to successful design management. A range of implementation barriers that affect the success of design management practices is also highlighted together with strategies used on a design and build project to overcome them.

The paper should be helpful to those involved in design management and the development of tools and practices to improve the performance of companies and project teams.

This study aims to examine the effects of participating in physical activities on female college graduates' starting salaries. We used an instrumental variable (IV) approach to address the possible endogeneity problem. By using the Taiwan Higher Education Dataset, we discovered that participating in physical activities during college increased an individual's earnings by 3.06%. The significant positive effect of physical activity on salary demonstrated in this study is consistent with that in other relevant studies. This study also discovered that both the intensity and the persistence of participation in physical activities affected salary outcomes. Individuals earned 0.17%–2.41% more if they exercised for an additional hour per week, suggesting the importance of the intensity of participation in physical activities. In addition, persistent participation in physical activities was associated with a 3.08% higher salary.