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Despite increasing interest in digital services and products, the emergence of digitalization in the logistics and supply chain (L&SC) industry has received little attention, in particular from organizational theorists. In response, taking an institutionalist view, the authors argue that the emergence and adoption of digitalization is a socially constructed phenomenon.

This paper shows how actor-level frameshifts contribute to an emergence of an overarching “digitalization logic” in the L&SC industry at the field level. Building on a longitudinal analysis of field actors' frames and logics, the authors track the development of digitalization over the last 60 years in the L&SC sector.

The authors classify specific time periods by key field-configuring events, describe the relevant frameshifts in each time period and present a process that explains how and why digitalization has emerged, been adopted and manifested itself in the L&SC industry.

The findings of the study provide insights about the evolution of a digitalization logic and thus advance the institutional view on digitalization in the L&SC industry.

The purpose of this study was to investigate how to generate innovative work behaviors among Millennial and Generation Z sport employees and its impact on their career satisfaction and psychological well-being.

The authors used structural equation modeling to examine the relationships among predictors of job engagement, innovative work behaviors, career satisfaction and psychological well-being. The model was tested across managerial sport employees of Division I athletics departments (N = 224).

The highlights of the study include job engagement's positive relationship with innovative work behaviors and the positive influence of innovative work behavior on career satisfaction and psychological well-being.

These findings signify the importance of considering job engagement and innovative work behaviors to develop a positive work experience for Millennial and Generation Z sport employees. Doing so is thought to be a critical step in cultivating an organizational competitive advantage via younger generations of sport employees.

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

Women leaders struggle with the persistent paradoxical expectations. Literature suggests that a paradox mindset helps to leverage these tensions. This study aims to understand the nexus between the microfoundations of individual women leaders’ experiences, their responses and the organisational context, which enables or hinders their paradox mindset.

This study adopted a qualitative approach by conducting semistructured interviews with 14 women, all senior leaders in corporate South Africa.

The results reveal the interaction in the nexus between, firstly, women leaders’ authenticity and awareness as key anchors that enable them to adopt a paradox mindset and, secondly, the organisation’s role in creating hindrances or opportunities to leverage tensions. Women leaders in our sample applied one of two strategies: they either adapted to the environment or curated a subenvironment. This study shows that, if done authentically, through her own agency, a woman can influence interactions that make it easier to manage tensions within her environment, especially those created by negative performance evaluation because of unconscious institutional gender bias.

The extent to which the findings of this research can be generalised is constrained by the selected research context.

This research contributes to the literature on paradox theory by revealing organisational contextual influencers, such as institutional bias in negative performance evaluation, which hinders a woman leader’s opportunity to be hired or promoted. These organisational influences also interact with women leaders’ ability to embrace paradox and internally leverage agentic and communal tensions.