Geolocation Framework using Google Maps for Secure Distance-Based Carbon Savings Stamp in Work from Anywhere Models

The transition toward the WFA model marks a major change in organizational operations, supported by rapid digital innovation and the increasing need for flexible work arrangements. By utilizing cloud services, virtual collaboration platforms, and secure remote access systems to enable employees to perform their task efficiently regardless of geographic location. However, this model also brings new cybersecurity challenges. Threats such as social engineering attacks, the use of personal devices outside formal security controls, and exposure to unsecured public networks. Despite these risks, adopting remote working practices also contributes to environmental sustainability. Consequently, the adoption of flexible work models not only addresses productivity demands but also delivers tangible contributions to carbon-reduction initiatives. The reduction in carbon emissions derived from employee commuting distances can be further processed into a unique digital representation. Each unit of carbon savings is assigned a unique digital stamp, serving as a code for environmentally friendly work activities. This positive impact can be assessed with greater accuracy using technological tools, such as calculating the distance between home and the central office using the Google Maps API. Through this technological integration, the study proposes a geolocation-based WFA framework that ensures security and reliability within the digital work ecosystem.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2026-01-15
DOI
https://doi.org/10.1051/e3sconf/202668701014/pdf
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
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article

Geolocation Framework using Google Maps for Secure Distance-Based Carbon Savings Stamp in Work from Anywhere Models

Imanuel Zega, Bagas Dwi Yulianto, Wisnu Wendanto
Springer Link (Chiba Institute of Technology)
Digital Transformation in Industry
article

Geolocation Framework using Google Maps for Secure Distance-Based Carbon Savings Stamp in Work from Anywhere Models

Imanuel Zega, Bagas Dwi Yulianto, Wisnu Wendanto
article en

Abstract

The transition toward the WFA model marks a major change in organizational operations, supported by rapid digital innovation and the increasing need for flexible work arrangements. By utilizing cloud services, virtual collaboration platforms, and secure remote access systems to enable employees to perform their task efficiently regardless of geographic location. However, this model also brings new cybersecurity challenges. Threats such as social engineering attacks, the use of personal devices outside formal security controls, and exposure to unsecured public networks. Despite these risks, adopting remote working practices also contributes to environmental sustainability. Consequently, the adoption of flexible work models not only addresses productivity demands but also delivers tangible contributions to carbon-reduction initiatives. The reduction in carbon emissions derived from employee commuting distances can be further processed into a unique digital representation. Each unit of carbon savings is assigned a unique digital stamp, serving as a code for environmentally friendly work activities. This positive impact can be assessed with greater accuracy using technological tools, such as calculating the distance between home and the central office using the Google Maps API. Through this technological integration, the study proposes a geolocation-based WFA framework that ensures security and reliability within the digital work ecosystem.

Springer Link (Chiba Institute of Technology)
Responsible consumption and production
Openalex Percentile: Top 87%
Digital Transformation in Industry
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Geolocation Framework using Google Maps for Secure Distance-Based Carbon Savings Stamp in Work from Anywhere Models — Imanuel Zega, Bagas Dwi Yulianto, et al. · Springer Link (Chiba Institute of Technology) (2026) | TGRS Research Map | TGRS