Applying design science research methodology in the development of virtual reality forest management services

Holopainen, Jani; Mattila, Osmo; Pöyry, Essi; Parvinen, Petri

doi:10.1016/j.forpol.2020.102190

Cited by 16 publications

(9 citation statements)

References 56 publications

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“…Assessing perceived risks associated with more automated workflows, as well as potential impacts on forestry‐related work, will likely be warranted as diverse remote sensing techniques become increasingly common. Employing horizon scanning and forecasting techniques with both technology and forestry experts and stakeholders may also shed light on disciplinary and science‐policy gaps, along with priority areas for both forestry‐ and technology‐focused research and innovation (Holopainen et al., 2020; Sutherland et al., 2011). It is clear that a social science research agenda around uptake, use, implications, and limitations of new data and technology in forestry and urban forestry is needed.…”

Section: Qualitative Synthesis and Discussionmentioning

confidence: 99%

The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems

et al. 2021

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As the Anthropocene epoch progresses, there is global interest in ensuring that forest ecosystems worldwide manifest resilience in the face of anthropogenic pressures (Reyer et al., 2015). Recent instances of zoonotic diseases linked to deforestation and forest loss have highlighted the vulnerability of and interconnections between forests and people (Brancalion et al., 2020). Furthermore, as urbanization continues to expand worldwide (Aronson et al., 2014), there is a need to mitigate negative impacts on forest habitat

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Section: Qualitative Synthesis and Discussionmentioning

confidence: 99%

The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems

et al. 2021

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“…DSRM is the most widespread and most frequently mentioned methodology in the context of innovation and development of information systems. Its use has expanded from engineering and IT systems to many other sectors, including business process management (Holopainen et al, 2020). DSRM focuses on creating a solution for a selected and significant problem and creating such a solution is "how things ought to be in order to attain goals and to function" (Simon, 2019).…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Proposal of BPMN extension with a view to effective modeling of clinical pathways

Szelągowski

Biernacki

Berniak-Woźny

et al. 2022

BPMJ

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PurposeThe aim of the article is to propose BPMN extensions that facilitate the modeling of Clinical Pathways in a way that enables for various groups of users, the transfer of a much wider range of information in the form of process models without compromising their readability and usefulness.Design/methodology/approachThe paper uses the design science research methodology (DSRM) and covers phases of a design-oriented research project extending BPMN notation for clinical pathway modeling.FindingsThe article proposes extensions of BPMN in 5 areas, enabling standardization of the description of business processes of different natures and complexity and in turn meeting the needs and requirements of modeling clinical pathways and, more broadly speaking, knowledge-intensive business processes (kiBPs) in general. As shown by the evaluation carried out among medical personnel, the proposed extensions allow for the readable transfer of a considerably larger body of information relevant to the planned, conducted and assessed therapy (kiBPs) than the current BPMN 2.0 standard.Originality/valueThe BPMN extensions proposed in the article fill the gaps in this notation and do not require users to know many notations, which in practice is unrealistic. Defined extensions to the BPMN specification makes it possible to standardise the description of processes of different natures and levels of complexity. In this way, both simplified models (and views of models) dedicated to users unfamiliar with BPMN and models (or views) using advanced possibilities provided by BPMN can be based on one standard, even if they use only a small part of its possibilities.

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“…This research uses the design science research methodology (DSRM) [33]. DSRM is an excellent option for human-centered intervention research problems [34]- [36].…”

Section: Methodsmentioning

confidence: 99%

Ontology specific visual canvas generation to facilitate sense-making-an algorithmic approach

Vidanage

Noor

Mohemad

et al. 2022

IJECE

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Ontologies are domain-specific conceptualizations that are both human and machine-readable. Due to this remarkable attribute of ontologies, its applications are not limited to computing domains. Banking, medicine, agriculture, and law are a few of the non-computing domains, where ontologies are being used very effectively. When creating ontologies for non-computing domains, involvement of the non-computing domain specialists like bankers, lawyers, farmers become very vital. Hence, they are not semantic specialists, particularly designed visualization assistance is required for the ontology schema verifications and sense-making. Existing visualization methods are not fine-tuned for non-technical domain specialists and there are lots of complexities. In this research, a novel algorithm capable of generating domain specialists’ friendlier visualization canvas has been explored. This proposed algorithm and the visualization canvas has been tested for three different domains and overall success of 85% has been yielded.

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Applying design science research methodology in the development of virtual reality forest management services

Cited by 16 publications

References 56 publications

The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems

The Digital Forest: Mapping a Decade of Knowledge on Technological Applications for Forest Ecosystems

Proposal of BPMN extension with a view to effective modeling of clinical pathways

Ontology specific visual canvas generation to facilitate sense-making-an algorithmic approach

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