Publication

@article{susanty2025mapping,

title = {Mapping barriers to digital adoption in Batik MSMEs: insights from DEMATEL-ISM integration},

author = {Aries Susanty and Nia Budi Puspitasari and Selvrida Eka Junaidi and Hendro Wicaksono},

doi = {https://doi.org/10.1007/s41870-025-02839-9},

year  = {2025},

date = {2025-11-21},

urldate = {2025-01-01},

journal = {International Journal of Information Technology},

pages = {1–26},

publisher = {Springer},

abstract = {This study aims to identify and map the key barriers affecting the readiness of batik Micro and Small Medium Enterprises (MSMEs) to adopt digital technology and to provide actionable recommendations to enhance adoption. Using a mixed-method approach, including systematic literature review, Content Validity Method (CVM), integrated Decision Making Trial and Evaluation Laboratory-Interpretive Structural Modeling (DEMATEL-ISM) modeling, and the Delphi method, the study refines 84 initial barriers into 14 core factors. The integrated DEMATEL-ISM analysis highlights two dominant barriers: lack of digital awareness and inadequate Information Technology (IT) infrastructure. Delphi-based recommendations include awareness campaigns and financial support mechanisms. While expert-based analysis may limit generalizability and overlook cultural or demand-side dynamics, the study offers valuable insight into overcoming systemic barriers. Practical implications emphasize the need for training, institutional support, and fintech-enabled strategies, while social benefits include digital empowerment and cultural preservation. This research is original in its use of DEMATEL-ISM to structure digital transformation challenges in the batik sector, offering a scalable, evidence-based framework for policy and practice.},

keywords = {innovation management, multi criteria decision making, technology adoption},

pubstate = {published},

tppubtype = {article}

}

@article{gupta2025comparative,

title = {A comparative assessment of causal machine learning and traditional methods for enhancing supply chain resiliency and efficiency in the automotive industry},

author = {Ishansh Gupta and Adriana Martinez and Sergio Correa and Hendro Wicaksono},

doi = {https://doi.org/10.1016/j.sca.2025.100116},

year  = {2025},

date = {2025-06-01},

urldate = {2025-06-01},

journal = {Supply Chain Analytics},

volume = {10},

pages = {100116},

publisher = {Elsevier},

abstract = {Efficient supplier escalation is crucial for maintaining smooth operational supply chains in the automotive industry, as disruptions can lead to significant production delays and financial losses. Many companies still rely on traditional escalation methods, which may lack the precision and adaptability offered by modern technologies. This study presents a comparative analysis of decision-making strategies for supplier escalation, evaluating causal machine learning (CML), traditional machine learning (ML), and current escalation practices in a leading German automotive company. The study employs an explanatory sequential mixed method, integrating the Analytical Hierarchy Process (AHP) with in-depth interviews with 25 industry experts. These methods are assessed based on several performance metrics: accuracy, business impact, explanation capability, human bias, stress test, and time-to-recover. Findings reveal that CML outperforms traditional ML and existing approaches, offering superior risk prediction, interpretability, and decision-making support Additionally, the research explores the internal acceptance of these technologies through the Technology Acceptance Model (TAM). The results highlight the transformative potential of CML in enhancing supply chain resilience and efficiency. By bridging the gap between predictive analytics and explainable AI, this research offers valuable guidance for firms seeking to optimize supplier management using advanced analytics.},

keywords = {artificial intelligence, causal AI, causal inference, data science, decision support systems, industry 4.0, industry 5.0, machine learning, multi criteria decision making, resillience, supply chain management, technology adoption},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@article{liandra2025interplay,

title = {Interplay of critical factors in effective agile projects},

author = {Tasya Fitriah Liandra and Mohammad Ichsan and Ayupitha Tiara and Hendro Wicaksono},

doi = {https://doi.org/10.1016/j.procs.2025.07.064},

year  = {2025},

date = {2025-01-01},

urldate = {2025-01-01},

journal = {Procedia Computer Science},

volume = {263},

pages = {530–538},

publisher = {Elsevier},

abstract = {Agile project management (APM), which was previously used among software development companies has recently gained prominence in various industries due to its ability to better cope with frequent changes in requirements as organizations seek strategies to enhance project outcomes in uncertainty and rapidly evolving business landscape. While the benefits have been well discussed in many papers, there is still a lack of studies about the factors that might influence the effectiveness of APM during its implementation. Therefore, the purpose of this paper is to expand on recent SLR findings, by examining the effects of identified factors, which are customer characteristics, digital leadership, and project management methodologies towards the effectiveness of Agile Project Management (APM) within the Indonesian context. This research employed a Structural Equation Modelling with Partial Least Squares (SEM-PLS) with Smart PLS 4.0 software as an analytical tool. A survey was conducted among Indonesian professionals who possess expertise in APM using a quantitative approach. From the collected data of 156 respondents, the findings showed that customer characteristics have a positive effect on digital leadership and an indirect effect on APM Effectiveness, digital leadership which serves as a mediating factor positively affects APM effectiveness. Only project management methodology does not moderate the relationship between customer characteristics and APM effectiveness. This proved that the identified factors could influence the effectiveness of APM and should be considered to achieve effective agile projects.},

keywords = {digital transformation, project management, technology adoption},

pubstate = {published},

tppubtype = {article}

}

@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}

}

@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}

}

@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}

}