Blue-collar workers, career success and innovation in manufacturing

Tacit knowledge in blue-collar work: how workers use it to fulfil their side of the psychological contract

Purpose

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

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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

Organizational Culture as a Prerequisite for Knowledge Transfer among IT Professionals: The Case of Energy Companies

The energy sector is the epitome of Industry 4.0; therefore, it should be developed in line with the Industry 4.0 implementation framework and be managed according to the guidelines dedicated to knowledge-based enterprises. Under this model of evolution, the layers surrounding the technological aspects are first, knowledge management (in particular, its transfer), and then people, and culture. This study addresses two of the three identified levels by attempting to verify the organizational culture that supports professional knowledge transfer as the leading factor in effective specialist knowledge exchange in the energy sector. Recently, this sector has become highly dependent on IT solutions as the main factor for its development and security. A key role in this respect is played by IT professionals, whose attitudes and employee behavior are critical to the stability, efficiency, effectiveness, and security of IT systems in the energy companies. The purpose of this paper is to propose a theoretical construct, based on indicated norms and values as organizational culture foundation and cultural practices. This article also aims to analyze and diagnose the components that support the professional knowledge transfer in different groups of organizational stakeholders. Systematic analysis of the scientific literature, expert evaluation, and structured questionnaires were used to develop and verify the hypotheses. The research results supported the hypotheses that organizational culture tailored to the knowledge workers’ needs and expectations, influence the effective and efficient circulation of IT expert knowledge.

Knowledge sabotage as an extreme form of counterproductive knowledge behavior: the role of narcissism, Machiavellianism, psychopathy, and competitiveness

Purpose

This study empirically tests the impact of the Dark Triad personality traits (narcissism, Machiavellianism, psychopathy) and co-worker competitiveness on knowledge sabotage.

Design/methodology/approach

A model was constructed and tested by means of Partial Least Squares with data from 150 participants recruited via Amazon’s Mechanical Turk.

Findings

The individual personality traits of narcissism, Machiavellianism, and psychopathy are significant predictors of individual knowledge sabotage behavior, whereas co-worker Machiavellianism and psychopathy trigger co-worker knowledge sabotage. Out of the three Dark Triad traits, individual and co-worker psychopathy emerged as the strongest knowledge sabotage predictor. Co-worker competitiveness has a positive effect on co-workers’ knowledge sabotage behavior. There is a relatively strong relationship between co-worker and individual knowledge sabotage which suggests that knowledge sabotage is a form of contagious workplace behavior. Individuals underestimate their negative behavior and traits and/or overestimate those of their fellow co-workers.

Practical implications

Managers should realize that the Dark Triad personality traits could predispose certain individuals to engage in extremely harmful counterproductive knowledge behavior. They need to ensure that individuals with these traits are not hired or are identified during their probation periods. It is recommended that organizations include knowledge sabotage measures in their periodic employee surveys. Organizations should help their employees objectively re-evaluate their own traits and knowledge behavior as well as those of their colleagues to ensure that their reciprocating knowledge behavior is more aligned with the reality in their organization.

Originality/value

This study offers a reliable and valid quantitative survey instrument to measure the presence of knowledge sabotage.

Canonical Correlation Analysis and a New Composite Index on Digitalization and Labor Force in the Context of the Industrial Revolution 4.0

The current phenomenon of the economy-accelerated digitalization, known as the “Industry 4.0”, will generate both an increased productivity, connectivity and several transformations on the labor force skills. Our research objectives are to determine the influence that digitalization has had on the workforce in several developed countries and to propose a new composite indicator that reflects these dynamics over time. We have used the Canonical Correlation Analysis (CCA) in order to identify and analyze the correlations between two sets of variables, an independent one and a dependent one. Data were collected from the World Bank and World Economic Forum for the years 2018–2019. Based on the results of our research we have determined and made a consistent analysis of the new composite index of digitalization and labor force in 19 countries. The results of our research are relevant and show not only the impact of digitalization on the labor force in different countries, but also the structural changes required by the new economic and social models. Our research can help decision-makers get in advance the necessary measures in the field of labor force in order to ensure a proper integration of these measures into the new economic model based on digitalization.