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Business process models describe the way of working in an organization. Typically, business process models distinguish between the normal flow of work and exceptions to that normal flow. However, they often present an idealized view. This means that unexpected exceptions – exceptions that are not modeled in the business process model – can also occur in practice. This has an effect on the efficiency of the organization, because information systems are not developed to handle unexpected exceptions. The purpose of this paper is to study the relation between the occurrence of exceptions and operational performance.

The paper does this by analyzing the execution logs of business processes from five organizations, classifying execution paths as normal or exceptional. Subsequently, it analyzes the differences between normal and exceptional paths.

The results show that exceptions are related to worse operational performance in terms of a longer throughput time and that unexpected exceptions relate to a stronger increase in throughput time than expected exceptions.

These findings lead to practical implications on policies that can be followed with respect to exceptions. Most importantly, unexpected exceptions should be avoided by incorporating them into the process – and thus transforming them into expected exceptions – as much as possible. Also, as not all exceptions lead to longer throughput times, continuous improvement should be employed to continuously monitor the occurrence of exceptions and make decisions on their desirability in the process.

While work exists on analyzing the occurrence of exceptions in business processes, especially in the context of process conformance analysis, to the best of the authors’ knowledge this is the first work that analyzes the possible consequences of such exceptions.

This study aims to examine psychological mechanisms underlying tacit knowledge-sharing behaviours. The personality trait of conscientiousness is tested in relation to knowledge sharing, and the effect of eagerness and subjective norm on the intention to share is measured in the context of local and multinational knowledge-intensive enterprises in Croatia.

The quantitative study was conducted on a sample of 288 employees of small and medium-sized companies working on knowledge-intensive tasks. The purposive sampling technique and a survey strategy were used in the study. Organizational affiliation, as it was presumed that these individuals possess a higher degree of tacit knowledge. The data collection was conducted in October 2019. Respondents worked in science and technology companies in Croatia on assignments involving information technology, electronics, petrochemicals, medicine and biochemistry. Statistical product and service solutions analysis of a moment structures software was used to perform confirmatory factor analysis and structural equation modelling.

The findings suggest that the personality trait of conscientiousness has a positive impact on tacit knowledge sharing behaviour. An attitude of eagerness and subjective norm were also confirmed as predictors of tacit knowledge sharing behaviour. Furthermore, conscientiousness influences the eagerness to share knowledge. A significant association between subjective norm and conscientiousness was also established. Finally, the mediating effects were identified, indicating that subjective norm and eagerness mediate the relationship between conscientiousness and tacit knowledge sharing.

Explaining the relationship between personality and attitude in the context of knowledge sharing will result in a better understanding of factors that should be nurtured within individuals. Accordingly, distinct management initiatives are to be developed to suit these factors. Furthermore, to intensify the knowledge exchange when working on knowledge-intensive tasks of significant economic value, organizations tailor a more particularistic application to suit the individual in the domain of leadership, staffing decisions, work organization and incentive systems.

This study provides an in-depth analysis and theoretical understanding of factors salient for knowledge-sharing behaviour. The authors provide an overview of how knowledge sharing evolves during social interaction through intensive problem-solving sessions and teamwork. The authors render the explanation on how the personality trait of conscientiousness, conjoint with the attitude of eagerness to share know-how in the expert surrounding, is conducive to the generation of tacit knowledge sharing. Underpinning this study are employees’ psychological motives and internal drives to communicate individual cognitive capital outweighing the potential negative consequences, such as losing the competitive advantage over the colleagues.