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This study aims to analyse the role of tacit knowledge in fulfilling employees’ side of the psychological contract in blue-collar work.

The research questions are as follows: How is tacit knowledge acquired in blue-collar work and how do blue-collar workers use tacit knowledge to fulfil their obligations within the psychological contract? This qualitative study comprising 30 interviews uses theory-led content analysis.

Blue-collar workers need time and experience to acquire tacit knowledge. An important aspect of tacit knowledge is knowing the ways in which the work is best done in practice and seeking better ways of doing the job. Workers use their tacit knowledge to perform their work well and efficiently, even in problematic situations, and to improve their work to fulfil their side of the psychological contract.

Organisations should see the value of the tacit knowledge blue-collar workers possess and develop actions that involve the workers in sharing their tacit knowledge and also in planning the actions related to this knowledge sharing.

This study adds to the limited body of studies on the relationship between tacit knowledge and the psychological contract.

The purpose of this paper is to assess the effect of co-worker support on horizontal knowledge withholding and voluntary turnover intention among IT specialists. The study also explores the mediating role of affective organizational commitment.

The data are drawn from 118 IT specialists from a Polish software company. The model is tested through partial least squares path modeling.

The results revealed that the negative effect of co-worker support on voluntary turnover intention is fully mediated by organizational affective commitment. Contrary to expectations, co-worker support is not significantly negatively related to horizontal knowledge withholding.

The cross-sectional data, self-reports and small sample size are limitations of this study. The respondents were a relatively homogenous group of employees, so the generalizability of results to other employees and industries is limited.

To increase affective organizational commitment and reduce voluntary turnover intention among IT specialists, managers should create the conditions to enhance co-worker support.

This research clarifies the role of affective organizational commitment, which has proven to be a bridge linking co-worker support and voluntary turnover intention. Moreover, this research investigates the previously unexplored effect of co-worker support on horizontal knowledge withholding.

The benefits associated with visibility in organizations depend on employees' willingness to engage with technologies that utilize visible communication and make communication visible to others. Without the participation of workers, enterprise social media have limited value. This study develops a framework to assess what deters and drives employees' use of enterprise social media.

Data were collected from 753 employees of a global company using an online survey. The response rate was 24.5%. The authors used structural equation modeling to test the hypothesized framework.

The results show that various fears by workers may deter or motivate enterprise social media use. This offers an alternative viewpoint for examining the consequences of communication visibility in organizations. Specifically, the findings demonstrate that the fear of accountability and the fear of losing uniqueness reduce enterprise social media use through increased codification efforts. The fear of missing out is directly and positively related to collecting behaviors on enterprise social media.

Expectations about participation in visible organizational communication environments are rising. However, as individuals may experience anxiety in such settings, the authors need to direct more analytical focus to the ways individuals manage communication visibility in organizing contexts and develop a deeper understanding of the consequences of fear in workplace communication.

The analysis recognizes that fear can play a key role in deterring or motivating workers' specific choices in navigating the challenges that occur when technology can make communication broadly visible. This study uses theorizing on communication visibility to bring together different fear mechanisms to predict enterprise social media use.

The COVID-19 pandemic has fuelled the transition in the workplace into the digital era. The purpose of this review paper is to highlight how the pandemic has further exposed the digital divide and the structural inequalities in remote workers’ access to home-location technology infrastructure and services. The unified theory of acceptance and use of technology (UTAUT) is adopted to highlight how the pandemic has forced the workforce to accept and use digital technology from home for work purposes.

This desktop-based review paper is drawn from the existing literature. Although both benefits and disadvantages are noted, technology plays a critical role in connecting remote workers to the digital world.

The paper found that remote workers did not necessarily struggle to work remotely from home to undertake their daily work tasks. Still, the critical challenge was the available Information and Communication Technology (ICT) infrastructure in their respective residential areas.

The paper seeks to highlight that even though the COVID-19 pandemic and related events have fast-tracked the switch of many work activities into the digital era, the uneven distribution of ICT infrastructure accentuates the barriers to effective home workplaces for many in developing communities. The research found a significant role that the advancement and acceptance of technologies play in the efficacy of remote working from home.

The relevance of this paper is in its contribution to the literature in extending knowledge about the UTAUT on remote working during a pandemic. The arguments presented herein may contribute to policy development and the ongoing debate about how the COVID-19 pandemic has accelerated the shift into the digital era on a global basis.

A review of previous studies on the voices of employees and knowledge workers clarifies that paying attention to employees' voice is critical in human resource management. However, limited studies have been conducted on it, and much less emphasis has been placed compared to other human resource management activities such as human resource planning. Therefore, the voice of knowledge employees has been one of the critical issues that have attracted a great deal of attention recently. Nonetheless, there is no evidence of various comprehensive and integrated voice mechanisms. As a result, this study aims to design knowledge workers' voice patterns in knowledge-based companies specialising in information and communication technology (ICT) in Iran in May and June 2020.

This study is a qualitative grounded theory research. We collected the data from a target sample of 15 experts in knowledge-based ICT companies using in-depth semi-structured interviews. Since all the participants had practised the employee voice process, they were regarded as useful data sources. Data analysis was also performed using three-step coding (open, axial and selective) by Atlas T8, which eventually led to identifying 14 components and 38 selected codes. We placed identified components in a paradigm model, including Personality Characteristics, Job Factors, Economic Factors, Cultural Factors, Organisational Policies, Organisational Structure, Climate Of Voice in the Organisation, Management Factors, Emotional Events, Communications and Networking, Contrast and Conflict and, etc. Then, the voice pattern of the knowledge staff was drawn.

The results showed that constructive knowledge voice influences the recognition of environmental opportunities and, additionally, it helps the competitive advantages among the employees. By forming the concept of knowledge staff voice, it can be concluded that paying attention to knowledge staff voice leads to presenting creative solutions to do affairs in critical situations. The presentation of these solutions by knowledge workers results in the acceptance of environmental changes, recognition and exploitation of new chances and ideas, and sharing experiences in Iranian knowledge-based companies.

Strengthening and expanding the voice of employees in knowledge-oriented companies can pave the way to growth and development towards a higher future that prevents the waste of tangible and intangible assets.

Companies' ability to engage in knowledge workers is a vital factor in human resource management and strategic management. However, the employee voice has not been involved integrally in the context of corporate.

This paper aims to examine the impact of adverse personality traits (alexithymia, social inhibition, negative affectivity) and supervisor knowledge hiding on individual knowledge hiding. This study also explores the moderating role of positive affectivity.

Partial least squares path modeling and data collected from 518 Polish employees with higher education and extensive professional experience recruited via an Ariadna survey panel were used to test the research hypotheses.

Two dimensions of alexithymia were considered: difficulty identifying feelings (DIF) and difficulty describing feelings (DDF). DIF has a direct impact on individual hiding, whereas DDF has an indirect impact, via social inhibition. Negative affectivity is a predictor of social inhibition, which enhances knowledge hiding. Positive affectivity slightly weakens the positive and strong effect of supervisor knowledge hiding on subordinate knowledge hiding.

Because alexithymia, social inhibition and negative affectivity may predispose employees to knowledge hiding, managers should identify these personality traits among job applicants and hired employees to make appropriate employment decisions. Moreover, managers should be aware that hiding knowledge by a supervisor may be imitated by subordinates.

Based on conservation of resources theory, this study investigates previously unexplored relationships among alexithymia, social inhibition, affectivity and knowledge hiding.

This study aims to describe and evaluate the impact of a participatory age-management intervention on the knowledge, awareness and engagement of line managers and their HR partners from six health-care organizations in Sweden.

The learning workshops consisted of lectures, discussions, feedback and exchange of experiences with colleagues and invited experts. A total of 19 participants were interviewed six months after the final workshop, and qualitative thematic analysis was used to analyze the transcribed interviews.

The intervention design produced promising results in improving line managers’ and HR partners’ knowledge and increasing awareness and engagement. On some occasions, the participants also initiated changes in organizational policies and practices. However, the intervention primarily became a personal learning experience as participants lacked resources and mandates to initiate change in their daily work. To stimulate engagement and change at the organizational level, the authors believe that an intervention must receive support from higher managers, be anchored at the workplace and be aligned with the organization’s goals; moreover, participants must be provided with sufficient resources and mandates to coordinate the implementation of age-management strategies.

Prolonged working life policies and skill shortages are affecting organizations and societies, and for many employers, there are strong reasons for developing strategies to attract, recruit and retain older workers.

This study offers lessons and guidance for future workplace interventions to attract, recruit and retain older workers.

Existing research evidence shows a fragmented understanding of the roles of first-line employees (FLEs) as essential factors for successful lean implementation in small- and medium-sized enterprises (SMEs), provoking recent calls for additional research on the identification of enablers and barriers for lean acceptance among workers. Therefore, this paper aims to identify related enablers and barriers to lean implementation among FLEs and determine future research avenues for improving the understanding of lean methodology implementation in SMEs.

Relying on a systematic literature review methodology, the authors aimed to synthesize and evaluate available peer-reviewed papers on the role of FLEs in lean implementation in SMEs. General descriptive and thematic analysis comprehensively depicted the selected research topic and identified the main themes within collected papers and potential future research questions.

The authors identified four main themes related to FLEs’ role in lean implementation: cultural change factors, employee characteristics, management involvement and lean job design. Within each theme, the authors present a comprehensive overview of FLE-related factors and associated enablers and barriers that should be considered for a successful lean implementation in SMEs.

The research outcomes are important to practicing managers in SMEs, helping them facilitate lean acceptance and enhance the likelihood of successful lean implementation.

The insights from this study present building blocks in developing a lean implementation model for SMEs that considers the FLEs’ role more comprehensively.

Knowledge- and communication-intensive domains still long for a better support of creativity that considers legal requirements, compliance rules and administrative tasks as well, because current systems focus either on knowledge representation or business process management. The purpose of this paper is to discuss our model of integrated knowledge and business process representation and its presentation to users.

The authors follow a design science approach in the environment of patent prosecution, which is characterized by a highly standardized, legally prescribed process and individual knowledge study. Thus, the research is based on knowledge study, BPM, graph-based knowledge representation and user interface design. The authors iteratively designed and built a model and a prototype. To evaluate the approach, the authors used analytical proof of concept, real-world test scenarios and case studies in real-world settings, where the authors conducted observations and open interviews.

The authors designed a model and implemented a prototype for evolving and storing static and dynamic aspects of knowledge. The proposed solution leverages the flexibility of a graph-based model to enable open and not only continuously developing user-centered processes but also pre-defined ones. The authors further propose a user interface concept which supports users to benefit from the richness of the model but provides sufficient guidance.

The balanced integration of the data and task perspectives distinguishes the model significantly from other approaches such as BPM or knowledge graphs. The authors further provide a sophisticated user interface design, which allows the users to effectively and efficiently use the graph-based knowledge representation in their daily study.

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.