Sabeth Häublein

Sabeth Häublein


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2024 in Environmental Science & Policy
Verified
Journal Article
Open access
SHSabeth Häublein
Sabeth Häublein
CSChris Seijger
Chris Seijger
ASAndy Selter
Andy Selter
TBTanya Baycheva-Merger
Tanya Baycheva-Merger
DKDaniela Kleinschmit
Daniela Kleinschmit

21 February 2024 in Environments
Verified
Journal Article
Open access
PDF file
TBTanya Baycheva-Merger
Tanya Baycheva-Merger
ASAndy Selter
Andy Selter
CSChris Seijger
Chris Seijger
SHSabeth Häublein
Sabeth Häublein
In Germany, modern digital technologies like Internet of Things (IoT) have been increasingly promoted for better environmental and natural resources management through “smart” monitoring and real-time data. However, adopting such advanced technologies is complex and brings a wide array of risks and challenges, and it remains unclear whether local actors are in fact willing and sufficiently equipped to adopt them. Using the Motivations and Abilities (MOTA) framework, and quantitative data collection and analysis methods, this study explores the motivations and abilities of German local (governmental) actors by focusing on the adoption of IoT-based forest and water monitoring systems. The findings reveal an early-stage adoption of IoT environmental monitoring, with limited awareness and no plans for adoption. The lack of willingness, however, is not attributed to a lack of motivation; it is, rather, influenced by perceived insufficient financial and technical capacities and resources. This study provides novel insights for understanding the complex relationship between actors’ behavior and the adoption of advanced digital technologies in the realm of environmental and natural resources management. The results provide a robust foundation for future research, and inform policy and practice aimed at facilitating digitalized natural resources management.