Subtopic Deep Dive

Knowledge Management in Environmental Management
Research Guide

What is Knowledge Management in Environmental Management?

Knowledge Management in Environmental Management applies DIKW hierarchy principles to integrate data, information, knowledge, and wisdom for sustainable environmental decision-making and policy formulation.

Researchers focus on data integration from IoT sensors and big data analytics for environmental impact assessments (Bauer et al., 2013; Lokshina et al., 2018). Studies examine knowledge access barriers for smallholder farmers and building renovation passports to support sustainability goals (Mtega et al., 2016; Sesana et al., 2020). Over 10 papers from 2010-2025 highlight IoT architectures and data-driven frameworks with 85 to 11 citations.

Curated Papers

Key Challenges

Why It Matters

Knowledge management enables evidence-based policies for climate neutrality by 2050 through building renovation data models (Sesana et al., 2020). IoT and big data services monitor environmental dynamics, informing third-party analytics for resource management (Lokshina et al., 2018; Bauer et al., 2013). GIS dashboards co-created with municipalities democratize urban resilience knowledge, enhancing disaster recovery (Villani et al., 2023). Data frameworks from AMI support city-wide sustainability decisions (Guerrero-Prado et al., 2021).

Key Research Challenges

Data Integration Barriers

Heterogeneous IoT data sources complicate unified environmental models (Bauer et al., 2013). Smallholder farmers face infrastructure limits to knowledge access (Mtega et al., 2016). Big data frameworks require tailored analytics for real-time sustainability insights (Lokshina et al., 2018).

Knowledge Access Equity

Rural stakeholders lack reliable agricultural knowledge channels, hindering food security (Mtega et al., 2016). Non-residential building data gaps impede renovation passports (Sesana et al., 2020). Community knowledge management demands leadership amid crises (Hall and Kilpatrick, 2011).

Wisdom Application Gaps

Translating data to wisdom for policy remains underexplored in IS research (Dalal and Pauleen, 2018). Railway design knowledge engineering struggles with dynamic incorporation (Häußler and Borrmann, 2021). Ultrarunning information constellations reveal limits in domain-specific understanding (Gorichanaz, 2018).

Essential Papers

IoT Reference Model

Martin Bauer, Nicola Bui, Jourik De Loof et al. · 2013 · 85 citations

In this chapter we present our IoT Reference Architecture. This IoT Reference Architecture is, among others, designed as a reference for the generation of compliant IoT concrete architectures that ...

Overview of the Available Knowledge for the Data Model Definition of a Building Renovation Passport for Non-Residential Buildings: The ALDREN Project Experience

Marta Maria Sesana, Mathieu Rivallain, Graziano Salvalai · 2020 · Sustainability · 42 citations

According to its strategic long-term vision, Europe wants to be a climate-neutral economy by 2050. Buildings play a crucial role in this vision, and they represent a sector with low-cost opportunit...

Factors influencing access to agricultural knowledge: The case of smallholder rice farmers in the Kilombero district of Tanzania

Wulystan Pius Mtega, Mpho Ngoepe, Luyanda Dube · 2016 · South African journal of information management · 33 citations

Background: Access to agricultural knowledge is important in transforming livelihoods of those relying on agriculture for a living and in enhancing food security. This access to agricultural knowle...

A Data Analytics/Big Data Framework for Advanced Metering Infrastructure Data

Jenniffer S. Guerrero-Prado, Wilfredo Alfonso-Morales, Eduardo Caicedo · 2021 · Sensors · 26 citations

The Advanced Metering Infrastructure (AMI) data represent a source of information in real time not only about electricity consumption but also as an indicator of other social, demographic, and econ...

The wisdom nexus: Guiding information systems research, practice, and education

Nikunj Dalal, David J. Pauleen · 2018 · Information Systems Journal · 23 citations

Abstract “Wisdom” has been at the heart of practical, philosophical, and spiritual disciplines since antiquity and is now increasingly receiving organizational as well as academic attention in scho...

IoT- and Big Data-Driven Data Analysis Services for Third Parties, Strategic Implications and Business Opportunities

Izabella Lokshina, Cees J. M. Lanting, Barbara J. Durkin · 2018 · International Journal of Social Ecology and Sustainable Development · 23 citations

This article describes ubiquitous sensing devices, enabled by wireless sensor network (WSN) technologies, now cut across every area of modern day living, affecting individuals and businesses and of...

Co-Creating GIS-Based Dashboards to Democratize Knowledge on Urban Resilience Strategies: Experience with Camerino Municipality

Maria Luisa Villani, Sonia Giovinazzi, Antonio Costanzo · 2023 · ISPRS International Journal of Geo-Information · 20 citations

Natural hazards are increasingly threatening our communities; hence it is imperative to provide communities with reliable information on possible impacts of such disasters, and on resilience measur...

Reading Guide

Foundational Papers

Start with Bauer et al. (2013) IoT Reference Model for architecture basics (85 citations), then Hall and Kilpatrick (2011) for community knowledge applications in crises.

Recent Advances

Study Sesana et al. (2020) on building renovation passports (42 citations) and Villani et al. (2023) GIS dashboards for urban resilience advances.

Core Methods

Core techniques include IoT data models (Bauer et al., 2013), big data frameworks (Guerrero-Prado et al., 2021), and knowledge-based engineering with MOKA/BIM (Häußler and Borrmann, 2021).

How PapersFlow Helps You Research Knowledge Management in Environmental Management

Discover & Search

Research Agent uses searchPapers and exaSearch to find IoT-driven environmental knowledge papers like Bauer et al. (2013), then citationGraph reveals 85-citation impact and findSimilarPapers uncovers related sustainability works by Sesana et al. (2020).

Analyze & Verify

Analysis Agent applies readPaperContent to extract DIKW hierarchies from Dalal and Pauleen (2018), verifies claims with CoVe chain-of-verification, and runs PythonAnalysis on AMI data frameworks (Guerrero-Prado et al., 2021) using pandas for statistical trends with GRADE scoring for evidence strength.

Synthesize & Write

Synthesis Agent detects gaps in knowledge access for farmers (Mtega et al., 2016) and flags contradictions in IoT models, while Writing Agent uses latexEditText, latexSyncCitations for Bauer et al. (2013), and latexCompile to generate policy reports with exportMermaid for data flow diagrams.

Use Cases

"Analyze IoT data integration trends for environmental monitoring from recent papers"

Research Agent → searchPapers + exaSearch → Analysis Agent → runPythonAnalysis (pandas on citation data from Bauer et al., 2013) → matplotlib trends plot exported as CSV.

"Draft LaTeX review on knowledge hierarchies in sustainability policies"

Synthesis Agent → gap detection (Dalal and Pauleen, 2018) → Writing Agent → latexEditText + latexSyncCitations (Sesana et al., 2020) → latexCompile → PDF with integrated figures.

"Find GitHub repos with code for GIS resilience dashboards"

Research Agent → citationGraph (Villani et al., 2023) → Code Discovery → paperExtractUrls → paperFindGithubRepo → githubRepoInspect → verified implementation examples.

Automated Workflows

Deep Research workflow conducts systematic review of 50+ papers on IoT environmental knowledge (Bauer et al., 2013 starters), chaining searchPapers → citationGraph → structured report with GRADE grades. DeepScan applies 7-step analysis to verify big data frameworks (Lokshina et al., 2018) with CoVe checkpoints. Theorizer generates DIKW-based theories for policy from Mtega et al. (2016) farmer access data.

Try Doxa for Knowledge Management in Environmental Management Research

Frequently Asked Questions

What defines Knowledge Management in Environmental Management?

It applies DIKW principles to environmental decision-making, integrating data for sustainability assessments and policy (Dalal and Pauleen, 2018).

What are key methods used?

IoT reference architectures, big data analytics, GIS dashboards, and knowledge engineering via BIM/BPMN (Bauer et al., 2013; Villani et al., 2023; Häußler and Borrmann, 2021).

What are foundational papers?

Bauer et al. (2013) IoT Reference Model (85 citations) and Hall and Kilpatrick (2011) on community knowledge for crises provide core frameworks.

What open problems exist?

Equity in knowledge access for smallholders, wisdom translation to policy, and dynamic domain knowledge integration remain unsolved (Mtega et al., 2016; Dalal and Pauleen, 2018).