Determinants of BPMS use for knowledge management

Abstract

Purpose Companies are increasingly implementing business process management systems (BPMSs) to support their processes. However, there is a gap in the literature regarding whether users also use BPMSs to manage the knowledge needed for processes to be completed. This study aims to analyze the factors that cause users to use BPMSs to manage the knowledge required in business processes. Design/methodology/approach The paper proposes an original model that integrates two successful information system models applied to BPMSs and knowledge management systems. To test the hypotheses derived from this new model, data were collected from 242 mature BPMS users from 12 Spanish and Latin American companies. Structural equation modeling with AMOS was used to examine the model. Findings Users’ perceived usefulness of a BPMS when using it for knowledge management (KM) is the only factor influencing them to use it for KM. Practical implications This study has practical implications for managers wishing to successfully implement a BPMS to support processes and for employees to use the knowledge embedded in the tool. The latter will only happen if users perceive the tool’s usefulness for KM. Originality/value To the best of the authors’ knowledge, this model is the first empirically validated model to successfully analyze BPMS users’ tendency to use BPMSs as a tool to support necessary KM in processes.

Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience

“…Anderson et al (2016) documented various benefits associated with health apps, encompassing enhanced self-awareness, seamless integration of self-management practices into daily routines, data transmission to health professionals without the need for repeated visits, access to historical data, social motivation for fitness, and personalized app features (Xu et al, 2010). Thus, perceived benefits play a pivotal role in driving individuals' willingness to use a system (Mart ın-Navarro et al, 2023;Martin-Navarro et al, 2021) and share personal information, thereby influencing their choice of mobile health apps (Fernandes and Costa, 2023;Zhu et al, 2021). Accordingly, we posit the subsequent hypothesis:…”