Testing an instrument to measure the BPMS-KM Support model

Martín-Navarro, Alicia; Sancho, María Paula Lechuga; Medina-Garrido, José Aurelio

doi:10.1016/j.eswa.2021.115005

Cited by 4 publications

(5 citation statements)

References 73 publications

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“…Data were obtained through a directed sample of users in companies that had implemented a BPMS. In information systems research, the use of directed sampling is very common (Chang et al , 2015b; Mudzana and Maharaj, 2015; Hariguna et al , 2016; Martín-Navarro et al , 2021a). A total of 53 commercial companies that have been using a BPMS for more than two years were contacted through the BPMS managers in each organization.…”

Section: Methodsmentioning

confidence: 99%

“…These two paradigms are already integrated into the professional world, and they lead to productivity gains, higher efficiency and better quality of companies’ outputs. This is why academics have started to study the two concepts together (Abuezhayeh et al , 2021; Martín-Navarro et al , 2021a). Clearly, BPM in an organization must take into account the knowledge resources the organization possesses to ensure employees have access to the knowledge necessary to perform the specific tasks that are part of the processes (Bitkowska, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…One of these types of software is BPMSs, which differ from other technologies due to their flexibility and ability to integrate with other tools. Their modeling capacity makes it quicker to design processes because no programming is required, thus allowing processes to change according to needs and to incorporate modelers' knowledge, which generates continuous improvements (Martı ´n-Navarro et al, 2021a). In this context, Chandrasekeran et al (2022) state that the use of standard BPM software to manage business processes helps to improve KM and understanding of processes.…”

Section: Introductionmentioning

confidence: 99%

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Determinants of BPMS use for knowledge management

Martín-Navarro

Sancho

Medina-Garrido

2023

JKM

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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.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Determinants of BPMS use for knowledge management

Martín-Navarro

Sancho

Medina-Garrido

2023

JKM

Self Cite

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“…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:…”

Section: Perceived Benefitmentioning

confidence: 99%

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

Mohammed,

Rozsa

2024

BFJ

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PurposeThe purpose of this study is to investigate the determinants of behavioral intention to use smartphone diet applications within the emerging market. Specifically, it focuses on the Privacy Calculus Model constructs, encompassing perceived risk and perceived benefit, as well as the pivotal elements of trust and self-efficacy. It also explores the moderating influence of experience on the influencing factors and intention to use a diet application.Design/methodology/approachIn a survey with 572 respondents, data analysis was conducted using partial least squares (PLS) structural equation modeling.FindingsThe findings reveal that perceived risk exerts a significant negative influence on behavioral intention. Conversely, perceived benefit, trust and self-efficacy exhibit a positive impact on behavioral intention. Moreover, the study delves into the moderating role of users' experience, which is found to significantly influence these relationships, suggesting that user experience plays a pivotal role in shaping the adoption dynamics of diet applications.Research limitations/implicationsThe limitations of this study may include the sample size and the specific focus on the emerging market of Saudi Arabia. The implications of the findings are relevant for scholars, developers, marketers, and policymakers seeking to promote the use of smartphone diet applications.Originality/valueThis study adds value by exploring the determinants of behavioral intention in the context of smartphone diet applications, and it is a first attempt to test the moderating role of users' experiences, providing valuable insights for various stakeholders in the field.

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“…System quality denotes the desired information system's characteristics, which might be reflected in overall system performance and assist users in their needs [15] [16]. It includes the accessibility and adaptability of the system, taking into consideration its usability and accessibility [18]. The required qualities of the system output are indicated by the information quality and measures how much of the data is valid, accurate, and full, as well as how much of it the user can understand [15] [16].…”

Section: Delone and Mclean Success Modelmentioning

confidence: 99%

Knowledge Management System Evaluation Using DeLone McLean Model: A Case Study of IT Service Desk Bank XYZ

Desiana Nurul Maftuhah,

Lia Ellyanti,

Dana Indra Sensuse

et al. 2023

j. nas. pendidik. teknik. inform.

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Bank XYZ is one of the biggest banks in Indonesia. It has IT Service Desk function under Information Technology Division that specifically handles complaints or problems related to IT. Knowledge management in IT service desk can help to increase the availability of information and knowledge for the IT service desk team who must provide explanations to users. IT Service Desk of Bank XYZ has built knowledge management system using open-source platform since 2017. It is called SDKPedia which was developed inhouse by IT Service Desk team and never been evaluated since it was built. The objective of this study is to evaluate SDKPedia as knowledge management system used in IT Service Desk Bank XYZ. Evaluation was carried out based on Delone and McLean assessment criteria. Survey is distributed to IT Service Desk worker and 31 valid feedback is used in this study. To determine the indications that have a substantial impact and result in a net advantage for SDKPedia, the PLS-SEM algorithm is utilized. Service quality is the only exogen latent variable that affected intension of use. While the other two exogen latent variable are system quality and information quality, did not have significant impact for intention to use or user satisfaction. Considering the findings of this study, several improvements can be made by the IT Service Desk manager to make the quality of SDKPedia better. The points that need more attention are information quality and system quality.

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Testing an instrument to measure the BPMS-KM Support model

Cited by 4 publications

References 73 publications

Determinants of BPMS use for knowledge management

Determinants of BPMS use for knowledge management

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

Knowledge Management System Evaluation Using DeLone McLean Model: A Case Study of IT Service Desk Bank XYZ

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