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This paper highlights the need for future studies researching the subject of resilience in family firms on different levels.

This paper reviews the literature on resilience in family businesses.

Resilience has become more important due to the recent multiple crises, starting with the coronavirus pandemic, followed by high inflation and energy prices, partly resulting from the war in Ukraine. These multiple crises affect the family and the business level. Future research must account for multiple levels when addressing it, i.e. the individual, the team, the family, and the business level. Resilience has to encompass all levels to sustain family business continuity.

By giving an overview of the concept of resilience, taking the family's perspective, and suggesting future avenues of research, the paper contributes to the development of family business research.

The purpose of this paper is to identify factors influencing implementation of control charts on key performance indicators (KPIs).

Factors driving organizational change described in literature are analyzed inspired by the affinity-interrelationship method. A holistic multiple-case design is used to conduct six workshops to affect the usage of control charts on KPIs at a global company in the automotive industry. The theoretical factors are compared with the result from the case study.

The important factors for implementation success differ to some extent between the theoretical and empirical studies. High-level commitment and a clear definition of the goal of change could be most important when creating a motivation for change. Thereafter, having a dedicated change agent, choosing an important KPI and being able to describe the gain in financial terms becomes more important.

By using control charts on KPIs, the organization in the case study has become more proactive, addressing the right issues upstream in the process, in the right way, cross-functionally.

Factors affecting the implementation of already available solutions in the industry are highlighted. This potentially provides a basis for improved decision making, which has a significant value.

Early identification of persons at risk is essential in suicide prevention. Undocumented migrants (UM) live under limited conditions and are to a high degree invisible, both in research and in suicide prevention programmes. The aim of this study was to investigate prevalence rates of suicidal thoughts among UM in Sweden.

This cross-sectional study was part of the Swedish Health Research on Undocumented Migrants project (SHERUM). The study population consisted of 104 UM over 18 years of age recruited through informal networks. Data on 112 multiple choice questions was collected via trained interviewers in Gothenburg, Stockholm and Malmö during 2014–2016. To assess suicidal thoughts (the last two weeks) one item asking about suicidal thought in the Beck Depression Inventory scale (BDI-II) was used. Logistic regression and chi-square analyses were made to identify risk and protective factors.

Suicidal thoughts were found in 43.2% of the 88 UM that answered the question on suicidal thoughts. Being a parent had some protective influence on the prevalence of suicidal thoughts while the housing situation, having been exposed to crime and having mental illness were all statistically significant risk factors for suicidal thoughts. However, due to low sample size, few variables presented statistically significant differences.

This study presents an alarmingly high prevalence of suicidal thoughts among undocumented migrants in Sweden, a difficult-to reach, vulnerable and rarely studied group. Targeted strategies are imperative to include undocumented migrants in suicidal prevention programmes.

The purpose of this paper is to increase productivity through smart maintenance planning by including productivity as one of the objectives of the maintenance organization. Therefore, the goals of the paper are to investigate existing machine criticality assessment and identify components of the criticality assessment tool to increase productivity.

An embedded multiple case study research design was adopted in this paper. Six different cases were chosen from six different production sites operated by three multi-national manufacturing companies. Data collection was carried out in the form of interviews, focus groups and archival records. More than one source of data was collected in each of the cases. The cases included different production layouts such as machining, assembly and foundry, which ensured data variety.

The main finding of the paper is a deeper understanding of how manufacturing companies assess machine criticality and plan maintenance activities. The empirical findings showed that there is a lack of trust regarding existing criticality assessment tools. As a result, necessary changes within the maintenance organizations in order to increase productivity were identified. These are technological advancements, i.e. a dynamic and data-driven approach and organizational changes, i.e. approaching with a systems perspective when performing maintenance prioritization.

Machine criticality assessment studies are rare, especially empirical research. The originality of this paper lies in the empirical research conducted on smart maintenance planning for productivity improvement. In addition, identifying the components for machine criticality assessment is equally important for research and industries to efficient planning of maintenance activities.

The purpose of this study is to ensure productive, robust and sustainable production systems and realise digitalised manufacturing trough implementation of Smart Maintenance – “an organizational design for managing maintenance of manufacturing plants in environments with pervasive digital technologies”. This paper aims to support industry practitioners in selecting performance indicators (PIs) to measure the effects of Smart Maintenance, and thus facilitate its implementation.

Intercoder reliability and negotiated agreement were used to analyse 170 maintenance PIs. The PIs were structurally categorised according to the anticipated effects of Smart Maintenance.

Companies need to revise their set of PIs when changing manufacturing and/or maintenance strategy (e.g. reshape the maintenance organisation towards Smart Maintenance). This paper suggests 13 categories of PIs to facilitate the selection of PIs for Smart Maintenance. The categories are based on 170 PIs, which were analysed according to the anticipated effects of Smart Maintenance.

The 13 suggested categories bring clarity to the measuring potential of the PIs and their relation to the Smart Maintenance concept. Thereby, this paper serves as a guide for industry practitioners to select PIs for measuring the effects of Smart Maintenance.

This is the first study evaluating how maintenance PIs measure the anticipated effects of maintenance in digitalised manufacturing. The methods intercoder reliability and negotiated agreement were used to ensure the trustworthiness of the categorisation of PIs. Such methods are rare in maintenance research.

A common understanding of what events to regard as production disturbances (PD) are essential for effective handling of PDs. Therefore, the purpose of this paper is to answer the two questions: how are individuals with production or maintenance management positions in industry classifying different PD factors? Which factors are being measured and registered as PDs in the companies monitoring systems?

A longitudinal approach using a repeated cross-sectional survey design was adopted. Empirical data were collected from 80 companies in 2001 using a paper-based questionnaire, and from 71 companies in 2014 using a web-based questionnaire.

A diverging view of 21 proposed PD factors is found between respondents in manufacturing industry, and there is also a lack of correspondence with existing literature. In particular, planned events are not classified and registered to the same extent as downtime losses. Moreover, the respondents are often prone to classify factors as PDs compared to what is actually registered. This diverging view has been consistent for over a decade, and hinders companies to develop systematic and effective strategies for handling of PDs.

There has been no in-depth investigation, especially not from a longitudinal perspective, of the personal interpretation of PDs from people who play a central role in achieving high reliability of production systems.

Technological advancements are reshaping the manufacturing industry toward digitalized manufacturing. Despite the importance of top-class maintenance in such systems, many industrial companies lack a clear strategy for maintenance in digitalized manufacturing. The purpose of this paper is to facilitate the implementation of maintenance in digitalized manufacturing by proposing a strategy development process for the Smart Maintenance concept.

This study is designed as a multiple-case study, where the strategy development in three industrial cases is analyzed. Several methods were used to collect data on the case companies' development of smart maintenance strategies. The data were analyzed with an inductive approach.

A process of strategy development for smart maintenance is proposed, including six steps: benchmarking, setting clear goals, setting strategic priority, planning key activities, elevating implementation and follow-up.

The proposed process provides industry practitioners with a step-by-step guide for the development of a clear smart maintenance strategy, based on the current state of their maintenance organization. This creates employee engagement and is a new way of developing maintenance strategies.

Maintenance strategies are traditionally regarded as a selection of corrective/reactive and preventive maintenance actions using a top-down approach. By contrast, the proposed process is starting from the current state of the maintenance organization and allows a mixture of top-down and bottom-up approaches, supporting organizational development. This is a rare perspective of maintenance strategies and will make maintenance organizations ready for the demands of digitalized manufacturing.

The purpose of this paper is to examine Swedish upper secondary school teachers’ and students’ views and use of ICT in education.

In total, 25 individual teachers and 39 students in small focus groups were interviewed. A qualitative content analysis was performed using NVivo11. The analysis was conducted in three steps: with each individual teacher, the student groups and the cohort of teachers and students. A comparative analysis was also conducted.

The teachers’ views and use of ICT are diverse. Teachers and students identify similar challenges when using ICT in education, e.g. time and subject, the shortcomings of a school’s learning management system (LMS) and teachers’ digital competence. Students report an extensive out-of-school use of smartphones and an extensive in-school use of laptops and LMS.

The relatively small number of teachers and students in three schools make generalisations difficult. The examination of teachers’ and students’ views and use in the same context reveals new knowledge.

The study may influence teachers’ use of ICT in education, based on a better understanding of students’ use.

The study may lead to a better understanding of teachers’ and students’ different perspectives and a more enhanced and sustainable in-school use of ICT.

The originality is that teachers’ and students’ views and use of ICT in education are examined at the same time. The paper contributes new knowledge about how teachers and students conceptualise and use ICT in upper secondary school practices.

Despite increasing focus among scholars and practitioners on the design of product-service systems (PSS), there exists no compilation of current knowledge on the role played by small and medium-sized enterprises (SMEs) in designing such systems. Thus, this paper sets out to identify and organise the existing research and suggest questions for future research.

A systematic literature review was performed to identify and provide in-depth details on key themes in the literature addressing the design of PSS in SMEs.

This paper identifies five themes in the literature on the design of PSS in SMEs: motives, challenges, SME characteristics, methods and digitalisation. The themes are interrelated, and SME characteristics seem to be at the core as they are related to all the other themes. Gaps in the current knowledge are identified, and questions for future research are suggested.

The suggestions for future research provide a starting point for expanding the research on PSS design and devising practical support for SMEs.

The purpose of this study was to describe experiences of working as a paid part-time firefighter (PTF) in Swedish rural areas.

An inductive explorative design was used, based on interviews with 18 paid PTFs in Sweden. Data were analyzed using qualitative latent content analysis.

Three themes emerged from the interviews and describe paid PTFs’ experiences. The findings provide insights into how firefighters share a strong commitment, how support plays a crucial role, and how training and call-outs contribute to their experiences. Paid PTFs’ experiences are nuanced, ranging from personal limitations and challenges to satisfaction and the contrast with ordinary life.

The implications for fire and rescue service organizations are that they can encourage firefighters’ commitment and pride, as well as the commitment and support of their families and main employers. Further, highlighting the importance of support and facilitating flexibility when on call is crucial. Finally, acknowledging and promoting personal development and facilitating an inclusive culture are important factors for both motivation and satisfaction.

Paid PTFs are under-represented in the literature, despite the reliance on them in Sweden, and this study begins to address the knowledge gap. To improve retention, it is vital to understand paid PTFs work situation: what motivates them, what barriers they face, and how those challenges influence their experiences.