Purpose Although mobile devices are ubiquitous among employees, their awareness and readiness to use mobile technologies for competence development is still not widespread and therefore requires further exploration. The purpose of this study is to propose a conceptual model based on the unified theory of acceptance and use of technology (UTAUT) to explain the determinants that affect employees’ intention to use mobile devices and software for knowledge transfer during the process of knowledge management. Design/methodology/approach A conceptual model based on the UTAUT with new variables concerning relative usability (RU) and user autonomy (UA) and new connections between the determinants was developed as a result of a subject matter literature review. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey collected from 371 employees from 21 sectors, both public and private. Findings The UTAUT model extended by new variables like RU and UA explains employee acceptance of mobile technologies for knowledge transfer reasonably well. New proposed variables highlighted that the usability of technology compared to other solutions and user autonomy in the selection and the use of applications have the strongest impact on the employees’ intention to use mobile devices and software for knowledge transfer. Research limitations/implications This model explains the 55 per cent behavioral intention of employees to use mobile technologies for knowledge transfer. Even though it is quite high in terms of acceptance theories, some new variables should be explored. Furthermore, study does not verify whether m-learning acceptance for knowledge transfer is sector-specific. Practical implications Mobile technologies used for knowledge transfer by employees should allow for high UA through their ability to select solutions that they find convenient, use of preferred platforms, personalize applications and utilize devices and software in various environments. They should not be simplified and should have the same functionality and efficiency of use as alternative solutions like web and desktop applications, even if additional effort to learn them would be required. Mobile technologies that take into account UA and RU support the process of employees capturing, distributing and effectively using knowledge. Originality/value The elaborated model provides a valuable solution with practical implications for increasing mobile technologies acceptance for knowledge transfer. The study results contribute both to knowledge management and technology acceptance research fields by introducing two new determinants for the acceptance of technologies in knowledge transfer, such as UA and RU with several additional connections between existing UTAUT variables.

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Part 7: System Models and Risk AssessmentInternational audienceDuring the years of prosperity, numerous organizations neglected numerous aspects of risk management. As systematic approach to handling identified risks is crucial to achieving success by the organization, modern business modeling standards and techniques are supposed to take risk-related features into account. The article is devoted to elaborating and exemplifying an extension aimed at risk handling for OMG’s Business Process Modeling Notation (BPMN), one of the most prospective standards for business process modeling. After an introduction, key risk management concepts are discussed. Section 3 discusses extensions introduced within BPMN meta-model, while section 4 exemplifies proposed concepts. The article is concluded with a summary

The acceptance of mobile technologies by employees is critical to their successful implementation in the workplace for competence development. Consequently, the type of job position (TJP) held was proposed as a new technology acceptance moderator and its significance verified. To examine this new moderator's role in explaining employees' intention to use technology, particularly mobile devices and applications for knowledge transfer, an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model was elaborated that included the TJP moderator. A structural equation modelling approach was used to validate the model on the basis of data collected via a survey received from 810 employees from Poland, from 26 sectors, both public and private. The study results highlight that TJP moderates the significance and strength of selected factors influencing technology acceptance, such as: user autonomy, relative usability, social influence, performance expectancy, effort expectancy and facilitating conditions. Moreover social influence was confirmed to impact the behavioral intention to use mobile technologies for knowledge transfer for managers only. Inversely, user autonomy influence on perceived effort required to use mobile learning shown to exist for all TJP moderator values except for managers. Theoretical and practical implications of study are discussed. INDEX TERMS Technology acceptance moderator, type of job position, mobile technologies, m-learning, knowledge transfer, employees.