Investigating Digital Collaboration: Human Factors in Artificial Intelligence-Driven Collaboration Platforms for Resilient Port

The adoption of digital technology in maritime transport is currently essential and inevitable.Major global ports embracing these advancements to improve efficiency and resilience.However, the next frontier involves fostering digital collaboration among stakeholders in the maritime transport ecosystem.As Artificial Intelligence (AI) becomes critical in enhancing productivity, its integration into digital technologies is key to creating resilient ports capable of mitigating disruptions.While technological aspects have received ample attention, there is a lack of research addressing the human factors involved in AI driven digital collaboration platformsparticularly in Indonesian ports, which face unique geographical and disaster-related challenges due to the nation's archipelagic nature.This study explores the human factors influencing the successful implementation of digital collaboration in Indonesian ports.It identifies human factor barriers that hinder the effective use of AI-driven technologies.Using qualitative interviews and simple quantitative survey, this research investigates the strategies necessary to address these human-centric challenges and optimize the role of individuals in digital transformation.Qualitative data is analyzed using thematic analysis, while quantitative data is presented using the Importance-Performance Matrix and Adoption Matrix.The findings present actionable strategies to overcome human factor barriers.A regulatory framework is proposed aimed at enhancing the resilience of Indonesia's port system.This paper offers a practical, human-centered approach to digital collaboration, ensuring that Indonesia's port ecosystem becomes more adaptable to future disruptions and sustainable in a rapidly evolving digital landscape.

Authors

Institutions

Publication Details

Journal
Operations and Supply Chain Management An International Journal
Published
2025-05-15
DOI
https://doi.org/10.31387/oscm0610465
Citations
2
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
6.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigating Digital Collaboration: Human Factors in Artificial Intelligence-Driven Collaboration Platforms for Resilient Port

Raja Oloan Saut Gurning, Imam Baihaqi, Bahana Wiradanti, Rio Theodore Natalianto Lasse
2 citations
Operations and Supply Chain Management An International Journal
Software Engineering Techniques and Practices
6.49
article

Investigating Digital Collaboration: Human Factors in Artificial Intelligence-Driven Collaboration Platforms for Resilient Port

Raja Oloan Saut Gurning, Imam Baihaqi, Bahana Wiradanti, Rio Theodore Natalianto Lasse
article en
2 citations

Abstract

The adoption of digital technology in maritime transport is currently essential and inevitable.Major global ports embracing these advancements to improve efficiency and resilience.However, the next frontier involves fostering digital collaboration among stakeholders in the maritime transport ecosystem.As Artificial Intelligence (AI) becomes critical in enhancing productivity, its integration into digital technologies is key to creating resilient ports capable of mitigating disruptions.While technological aspects have received ample attention, there is a lack of research addressing the human factors involved in AI driven digital collaboration platformsparticularly in Indonesian ports, which face unique geographical and disaster-related challenges due to the nation's archipelagic nature.This study explores the human factors influencing the successful implementation of digital collaboration in Indonesian ports.It identifies human factor barriers that hinder the effective use of AI-driven technologies.Using qualitative interviews and simple quantitative survey, this research investigates the strategies necessary to address these human-centric challenges and optimize the role of individuals in digital transformation.Qualitative data is analyzed using thematic analysis, while quantitative data is presented using the Importance-Performance Matrix and Adoption Matrix.The findings present actionable strategies to overcome human factor barriers.A regulatory framework is proposed aimed at enhancing the resilience of Indonesia's port system.This paper offers a practical, human-centered approach to digital collaboration, ensuring that Indonesia's port ecosystem becomes more adaptable to future disruptions and sustainable in a rapidly evolving digital landscape.

Operations and Supply Chain Management An International Journal
Sepuluh Nopember Institute of Technology (ID), Indonesian Orthopaedic Association (ID)
Openalex Percentile: Top 4%
Software Engineering Techniques and Practices
6.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.