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The purpose of this study is to explore the process of initial sensemaking that organizational members activate when they reflect on AI adoption in their work settings, and how the perceived features of AI technologies trigger sensemaking processes which in turn have the potential to influence workplace learning modes and trajectories.

We adopted an explorative qualitative and interactive approach to capture free fantasies and imaginative ideas of AI among people within the industry. We adopt a conceptual perspective that combines theories on initial sensemaking and workplace learning as a theoretical lens to analyze data collected during 23 focus groups held at four large Swedish manufacturing companies. The data were analyzed using the Gioia method.

Two aggregated dimensions were defined and led to the development of an integrated conceptualization of the initial sensemaking of AI technology adoption. Specifically, sensemaking triggered by abstract features of AI technology mainly pointed to an exploitative learning path. Sensemaking triggered by concrete features of the technology mainly pointed to explorative paths, where socio-technical processes appear to be crucial in the process of AI adoption.

This is one of the first studies that attempts to explore and conceptualize how organizations make sense of prospective workplace learning in the context of AI adoption.

The purpose of this paper is to shed light on different types of knowledge created and how this links to the project design, process, and content.

In this paper the authors investigate participants' experiences from a three-year interactive research project, designed to trigger reflection among the participants. They apply a knowledge creation perspective on experiences expressed by participants as a result of different research project activities.

The study resulted in five categories of insights with potential for sustainable influence on the participating organizations: an understanding of concepts and theories; an understanding of the impacts of collaborative, reflective work processes; an understanding of the meaning of one's own organizational context; an understanding of the importance of increased organizational self-awareness; and an understanding of the potential for human interaction and communication.

The author’s findings suggest that it is possible to design a project to promote more profound and sustainable effects on a business beyond the explicit purpose of the project. They advise practitioners to make room for iterative reflection; be mindful to create a trustful and open environment in the team; challenge results with opposing views and theories; and make room for sharing experiences and giving feedback.

This study contributes to unraveling key practices which can nurture conditions for knowledge creation in interactive research projects and business projects alike.

Strategic consensus between operators and managers is an important means to accomplish a successful manufacturing strategy (MS) process. Previous studies largely left out individual operators from this concept. Therefore, the purpose of this paper is to empirically examine the level of strategic consensus on the MS within the operations function, that is, the operators’ and managers’ perceptions of MS.

Interviews were conducted with both operators and managers at three small- and medium-sized enterprises in Sweden. The MS dimensions were selected based on previous research; the data were analysed by using thematic coding.

The study shows that the levels of strategic consensus on the MS vary among companies. Even when strategic consensus exists between operators and managers, their underlying reasons often differ. Furthermore, the levels of strategic consensus vary among MS dimensions. The companies’ usage of information-sharing channels, along with their size and position in the supply chain, can be important for the level of strategic consensus.

This paper contributes to the body of knowledge in three ways. First, it expands the scope of the MS dimensions under study, thus offering a stronger, resource-based perspective on MS and strategic consensus than what earlier studies showed. Second, it goes beyond the management level by including both managers and operators as the unit of analysis. Third, compared to previous research, it focuses on a new context and is based on in-depth case studies.