2025
Wicaksono, Hendro; Mengistu, Abel; Bashyal, Atit; Fekete, Tamas
Digital Product Passport (DPP) technological advancement and adoption framework: A systematic literature review Journal Article
In: Procedia Computer Science, vol. 253, pp. 2980-2989, 2025.
Abstract | Links | BibTeX | Tags: artificial intelligence, digital product passport, technology adoption
@article{nokey,
title = {Digital Product Passport (DPP) technological advancement and adoption framework: A systematic literature review},
author = {Hendro Wicaksono and Abel Mengistu and Atit Bashyal and Tamas Fekete},
url = {https://www.sciencedirect.com/science/article/pii/S1877050925003655},
doi = {https://doi.org/10.1016/j.procs.2025.02.022},
year = {2025},
date = {2025-02-25},
journal = {Procedia Computer Science},
volume = {253},
pages = {2980-2989},
abstract = {This research investigates the integration of Digital Product Passports (DPPs) into the Circular Economy (CE) paradigm. DPPs are digital papers that accompany products and contain detailed lifecycle data on materials, manufacturing processes, distribution networks, environmental effects, and end-of-life treatment. They improve industry openness, traceability, and sustainability by closing information gaps and encouraging sustainable product management. Despite the growing interest in DPPs, there is a significant gap in understanding the practical challenges and scalability of DPP adoption across the industry. This paper digs into technology developments and their adoptions for efficient DPP implementation within the CE framework through a systematic literature review (SLR). It investigates how DPPs promote resource efficiency, improve lifecycle assessments, and strengthen end-of-life management techniques. It also looks at the economic and legal consequences of integrating DPP into existing supply chains, stressing potential cost issues and the need for regulatory frameworks. The findings highlight DPPs’ significance in facilitating long-term product management decisions by providing openness and accountability across the product lifecycle. This paper also underlines the importance of stakeholder collaboration in realizing DPPs’ revolutionary potential for advancing the CE agenda. It proposes a conceptual model illustrating the technical architecture of DPPs, adoption framework, and DPP adoption ecosystem. Finally, this paper discusses the future research directions around DPPs based on the research gap identified through the SLR.
},
keywords = {artificial intelligence, digital product passport, technology adoption},
pubstate = {published},
tppubtype = {article}
}
2024
Yuniaristanto,; Sutopo, Wahyudi; Hisjam, Muhammad; Wicaksono, Hendro
Estimating the market share of electric motorcycles: A system dynamics approach with the policy mix and sustainable life cycle costs Journal Article
In: Energy Policy, vol. 195, pp. 114345, 2024.
Abstract | Links | BibTeX | Tags: e-mobility, sustainability, system dynamics, technology adoption, transportation
@article{yuniaristanto2024estimating,
title = {Estimating the market share of electric motorcycles: A system dynamics approach with the policy mix and sustainable life cycle costs},
author = {Yuniaristanto and Wahyudi Sutopo and Muhammad Hisjam and Hendro Wicaksono},
url = {https://www.sciencedirect.com/science/article/pii/S0301421524003653},
doi = {https://doi.org/10.1016/j.enpol.2024.114345},
year = {2024},
date = {2024-12-01},
urldate = {2024-01-01},
journal = {Energy Policy},
volume = {195},
pages = {114345},
publisher = {Elsevier},
abstract = {Introducing electric vehicles is critical to maintaining air quality and reducing carbon emissions. The Indonesian government has issued several regulations to stimulate the diffusion of electric vehicles. This research attempts to forecast the electric vehicle market share, especially electric motorcycles, by involving the policy mix and sustainable life cycle costs. We propose a system dynamics approach that takes into account a policy mix including 0% down payment without credit interest subsidies, tax abolition, expansion of charging station network, and sustainable life cycle costs, i.e., total cost of ownership, social, and environment. The system dynamics model has four modules: the electric motorcycle cost, the conventional motorcycle cost, the economy module, and the consumer market. The simulation results show that the electric motorcycle market share will increase positively in 2021–2030, reaching 5.7% in 2030. Based on the scenario simulation results, providing more charging stations and vehicle tax abolition can significantly boost the market share of electric motorcycles in Indonesia. The study provides valuable insights for policymakers in formulating more appropriate policy instruments to promote electric vehicle diffusion in Indonesia.
},
keywords = {e-mobility, sustainability, system dynamics, technology adoption, transportation},
pubstate = {published},
tppubtype = {article}
}
Yuniaristanto,; Sutopo, Wahyudi; Hisjam, Muhammad; Wicaksono, Hendro
Exploring the determinants of intention to purchase electric motorcycles: the role of national culture in the UTAUT Journal Article
In: Transportation research part F: traffic psychology and behaviour, vol. 100, pp. 475–492, 2024.
Links | BibTeX | Tags: data science, sustainability, technology adoption
@article{sutopo2024exploring,
title = {Exploring the determinants of intention to purchase electric motorcycles: the role of national culture in the UTAUT},
author = {Yuniaristanto and Wahyudi Sutopo and Muhammad Hisjam and Hendro Wicaksono},
url = {https://www.sciencedirect.com/science/article/pii/S1369847823002772},
doi = {https://doi.org/10.1016/j.trf.2023.12.012},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Transportation research part F: traffic psychology and behaviour},
volume = {100},
pages = {475–492},
publisher = {Pergamon},
keywords = {data science, sustainability, technology adoption},
pubstate = {published},
tppubtype = {article}
}
Rahmawati, Tasya Santi; Sutopo, Wahyudi; Wicaksono, Hendro
Investment Decision-Making to Select Converted Electric Motorcycle Tests in Indonesia Journal Article
In: World Electric Vehicle Journal, vol. 15, no. 8, pp. 334, 2024.
Abstract | Links | BibTeX | Tags: e-mobility, multi criteria decision making, technology adoption, TOPSIS, transportation
@article{rahmawati2024investment,
title = {Investment Decision-Making to Select Converted Electric Motorcycle Tests in Indonesia},
author = {Tasya Santi Rahmawati and Wahyudi Sutopo and Hendro Wicaksono},
url = {https://www.mdpi.com/2032-6653/15/8/334},
doi = {https://doi.org/10.3390/wevj15080334},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {World Electric Vehicle Journal},
volume = {15},
number = {8},
pages = {334},
publisher = {MDPI AG},
abstract = {The issue of carbon emissions can be addressed through environmentally friendly technological innovations, which contribute to the journey towards achieving net-zero emissions (NZE). The electrification of transportation by converting internal combustion engine (ICE) motorcycles to converted electric motorcycles (CEM) directly reduces the number of pollution sources from fossil-powered motors. In Indonesia, numerous government regulations support the commercialization of the CEM system, including the requirement for conversion workshops to be formal entities in the CEM process. Every CEM must pass a test to ensure its safety and suitability. Currently, the CEM testing process is conducted at only one location, making it inefficient and inaccessible. Therefore, most conversion workshops in Indonesia need to take investment steps in procuring CEM-type test tools. This research aims to determine the best alternative from several investment alternatives for CEM-type test tools. In selecting the investment, three criteria are considered: costs, operations, and specifications. By using the investment decision-making model, a hierarchical decision-making model is obtained, which is then processed using the analytical hierarchy process (AHP) and the technique for order of preference by similarity to the ideal solution (TOPSIS). Criteria are weighted to establish a priority order. The final step involves ranking the alternatives and selecting Investment 2 (INV2) as the best investment tool with a relative closeness value of 0.6279. Investment 2 has the shortest time process (40 min), the lowest electricity requirement, and the smallest dimensions. This research aims to provide recommendations for the best investment alternatives that can be purchased by the conversion workshops.
},
keywords = {e-mobility, multi criteria decision making, technology adoption, TOPSIS, transportation},
pubstate = {published},
tppubtype = {article}
}
2023
Sarafanov, Egor; Valilai, Omid Fatahi; Wicaksono, Hendro
Causal Analysis of Artificial Intelligence Adoption in Project Management Proceedings Article
In: Intelligent Systems Conference, pp. 245–264, Springer Nature Switzerland Cham 2023.
BibTeX | Tags: artificial intelligence, causal inference, data science, project management, technology adoption
@inproceedings{sarafanov2023causal,
title = {Causal Analysis of Artificial Intelligence Adoption in Project Management},
author = {Egor Sarafanov and Omid Fatahi Valilai and Hendro Wicaksono},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Intelligent Systems Conference},
pages = {245–264},
organization = {Springer Nature Switzerland Cham},
keywords = {artificial intelligence, causal inference, data science, project management, technology adoption},
pubstate = {published},
tppubtype = {inproceedings}
}
Yuniaristanto, Wahyudi Sutopo; Hisjam, Muhammad; iD, Hendro Wicaksono
Electric Motorcycle Adoption Research: A Bibliometric Analysis Check for updates Proceedings Article
In: Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 4th International Manufacturing Engineering Conference: APCOMS-IMEC 2022, Surakarta, Indonesia, pp. 131, Springer Nature 2023.
BibTeX | Tags: sustainability, technology adoption
@inproceedings{yuniaristanto2023electric,
title = {Electric Motorcycle Adoption Research: A Bibliometric Analysis Check for updates},
author = {Wahyudi Sutopo Yuniaristanto and Muhammad Hisjam and Hendro Wicaksono iD},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {Proceedings of the 6th Asia Pacific Conference on Manufacturing Systems and 4th International Manufacturing Engineering Conference: APCOMS-IMEC 2022, Surakarta, Indonesia},
pages = {131},
organization = {Springer Nature},
keywords = {sustainability, technology adoption},
pubstate = {published},
tppubtype = {inproceedings}
}
Yuniaristanto, Yuniaristanto; Sutopo, Wahyudi; Hisjam, Muhammad; Wicaksono, Hendro
Factors Influencing Electric Motorcycle Adoption: A Logit Model Analysis Proceedings Article
In: E3S Web of Conferences, pp. 02035, EDP Sciences 2023.
BibTeX | Tags: data science, sustainability, technology adoption
@inproceedings{yuniaristanto2023factors,
title = {Factors Influencing Electric Motorcycle Adoption: A Logit Model Analysis},
author = {Yuniaristanto Yuniaristanto and Wahyudi Sutopo and Muhammad Hisjam and Hendro Wicaksono},
year = {2023},
date = {2023-01-01},
urldate = {2023-01-01},
booktitle = {E3S Web of Conferences},
volume = {465},
pages = {02035},
organization = {EDP Sciences},
keywords = {data science, sustainability, technology adoption},
pubstate = {published},
tppubtype = {inproceedings}
}
2022
Yuniaristanto,; Sutopo, Wahyudi; Hisjam, Muhammad; Wicaksono, Hendro
Electric Motorcycle Adoption Research: A Bibliometric Analysis Proceedings Article
In: Proceedings of the International Manufacturing Engineering Conference & The Asia Pacific Conference on Manufacturing Systems, pp. 131–138, Springer Nature Singapore Singapore 2022.
BibTeX | Tags: innovation management, technology adoption
@inproceedings{yuniaristanto2022electric,
title = {Electric Motorcycle Adoption Research: A Bibliometric Analysis},
author = {Yuniaristanto and Wahyudi Sutopo and Muhammad Hisjam and Hendro Wicaksono},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {Proceedings of the International Manufacturing Engineering Conference & The Asia Pacific Conference on Manufacturing Systems},
pages = {131–138},
organization = {Springer Nature Singapore Singapore},
keywords = {innovation management, technology adoption},
pubstate = {published},
tppubtype = {inproceedings}
}