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The purpose of this paper is to discuss relationships between high-performance work systems (HPWSs) and productive/counterproductive behaviours initiated and performed by employees. Using the ability, motivation and opportunities (AMO) theoretical framework, the authors described how an HPWS influences employee behaviours. The authors suggest that HPWSs could increase productive work behaviour and decrease counterproductive behaviours by mediating employees' affective commitment and moderating their self-efficacy.

This study is based on data from 563 questionnaires, which were completed using the computer-assisted telephone interview method. The respondents were knowledge workers, representing companies of various sizes in the Knowledge-Intensive Business Service (KIBS) sector in Poland. Statistical verification of the mediation and moderation analyses was conducted with macro PROCESS (ver. 3.3).

This research confirmed a significant statistical relationship between all examined variables. It has been shown that HPWSs influence productive and counterproductive behaviours both directly and indirectly through mediation of affective commitment. The statistical analysis also confirmed the study’s hypothesis that self-efficacy moderates relationships between an HPWS and employee behaviours.

This study has two limitations: its cross-sectional design and the use of self-reported questionnaire data.

This study is the first to explore mediating mechanisms between HPWSs and employee performance in the context of the KIBS companies in Poland. The results indicate that HPWSs are important antecedents of productive and counterproductive behaviours among knowledge workers.

Interruptions are prevalent in knowledge work, and their negative consequences have driven research to find ways for interruption management. However, these means almost always leave the responsibility and burden of interruptions with individual knowledge workers. System-level approaches for interruption management, on the other hand, have the potential to reduce the burden on employees. This paper’s objective is to pave way for system-level interruption management by showing that data about factual characteristics of work can be used to identify interrupting situations.

The authors provide a demonstration of using trace data from information and communications technology (ICT)-systems and machine learning to identify interrupting situations. They conduct a “simulation” of automated data collection by asking employees of two companies to provide information concerning situations and interruptions through weekly reports. They obtain information regarding four organizational elements: task, people, technology and structure, and employ classification trees to show that this data can be used to identify situations across which the level of interruptions differs.

The authors show that it is possible to identifying interrupting situations from trace data. During the eight-week observation period in Company A they identified seven and in Company B four different situations each having a different probability of occurrence of interruptions.

The authors extend employee-level interruption management to the system-level by using “task” as a bridging concept. Task is a core concept in both traditional interruption research and Leavitt's 1965 socio-technical model which allows us to connect other organizational elements (people, structure and technology) to interruptions.

This study aims to identify knowledge-related tensions in remote work in higher education institutions during the COVID-19 pandemic and increase understanding of how such tensions can be managed.

The research was conducted as an inductive, qualitative study in the field of higher education in Finland. The data were collected using semi-structured interviews of 34 managers in two higher education institutions and analyzed using an inductive and interpretive analysis method.

The findings demonstrate that the knowledge-related challenges and opportunities during the remote work period of the COVID-19 pandemic in Finnish higher education institutions can be conceptualized as tensions involved in knowledge codification, knowledge silos and creating new knowledge. The study contributes to research by presenting a framework for managing knowledge-related tensions in remote work arrangements to benefit remote and hybrid work in knowledge-intensive organizations.

This paper increases the understanding of the tensions in remote work arrangements; the results can help managers understand the challenges and opportunities of remote knowledge work concerning their organization and thereby assist them in management and decision-making in complex operational environments.

This study adopted the little-used perspective of tensions to examine knowledge management issues. By examining the various affordances that remote work may allow for knowledge-intensive work and higher education institutions, the study contributes to a deepened understanding of knowledge work in remote contexts, the related tensions and their management.