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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.

This paper reviews the academic contributions that have emerged to date on the broad definition of farm-level management information systems (MISs). The purpose is twofold: (1) to identify the theories used in the literature to study the adoption of digital technologies and (2) to identify the drivers of and barriers to the adoption of such technologies.

The literature review was based on a comprehensive review of contributions published in the 1998–2019 period. The search was both automated and manual, browsing through references of works previously found via high-quality digital libraries.

Diffusion of innovations (DOIs) is the most frequently used theoretical framework in the literature reviewed, though it is often combined with other innovation adoption theories. In addition, farms’ and farmers’ traits, together with technological features, play a key role in explaining the adoption of these technologies.

So far, research has positioned the determinants of digital technology adoption mainly within the boundaries of the farm.

On the practical level, the extensive determinants’ review has potential to serve the aim of policymakers and technology industries, to clearly and thoroughly understand adoption dynamics and elaborate specific strategies to deal with them.

This study’s contribution to the existing body of knowledge on the farm-level adoption of digital technologies is twofold: (1) it combines smart farming and existing technologies within the same category of farm-level MIS and (2) it extends the analysis to studies which not only focus directly on adoption but also on software architecture design and development.

This article outlines the theoretical foundations of the research contributions of this edited collection about “Diversity and Discrimination in Research Organizations.” First, the sociological understanding of the basic concepts of diversity and discrimination is described and the current state of research is introduced. Second, national and organizational contextual conditions and risk factors that shape discrimination experiences and the management of diversity in research teams and organizations are presented. Third, the questions and research approaches of the individual contributions to this edited collection are presented.

Purpose: This study examines the relationship between gender, nationality, care responsibilities for children, and the psychological work climate of researchers.

Basic Design: Based on a dataset of approximately 2,900 cases, the main effects of gender and nationality, their interaction effect and the interaction effects of gender with care responsibilities for minor children, and with hierarchical position are considered in relation to work climate. Dummy regressions and t-tests were performed to estimate and compare the means and regression parameters of the perceived group climate and the view of leaders as evaluated by researchers. The dataset used was taken from a full survey of employees of the Max Planck Society, which is one of Germany’s largest research organizations with over 80 facilities and institutes in various disciplines and a focus on basic research.

Results: Gender differences concerning the evaluation of the work climate are particularly pronounced among doctoral candidates and researchers who have a non-EU nationality. Gender gaps increasingly level out with each successive career step. Additionally, a main effect of gender and a weak interaction of gender and care responsibility for minor children was supported by the data. A main effect of nationality on work climate ratings was found but could not be meaningfully interpreted.

Interpretation and Relevance: The interaction effect between gender and the position of a researcher can be interpreted as being a product of the filtering mechanism of the research system. With this interpretation, the results of the study can plausibly be explained in the light of previous research that concludes that female researchers face higher career hurdles than male researchers.

This paper aims to show which factors influence the perception of human resources professionals about managers over 50 years old and which factors guide the age management practices adopted in the surveyed companies.

To this end, a survey was conducted with 140 companies accessed from a database of a human resources association. Through the answers obtained through the online questionnaire, an exploratory factor analysis was made with the aid of Software R.

Thus, it was possible to identify four factors that explain the work posture of professionals 50 years of age and older (company expectations, performance, morality and knowledge and professionalism) and three factors that guide the adoption of age management practices in organizations (recruitment & selection and integration, retention and continuity in the company, adaptation to the needs).

The results suggest that, even considering the high performance of older managers, perceived by HR professionals, the adoption of age management practices is still insufficient, making it difficult for these professionals to enter and remain in organizations. Moreover, it can be inferred that such posture indicates biases of discrimination and age stereotypes.