Publication

@article{nokey,

title = {Artificial Intelligence in Open Innovation Project Management: A Systematic Literature Review on Technologies, Applications, and Integration Requirements},

author = {Moonita Limiany Prasetyo and Randall Aginta Peranginangin and Nada Martinovic and Mohammad Ichsan and Hendro Wicaksono},

url = {https://www.sciencedirect.com/science/article/pii/S2199853124002397},

doi = {https://doi.org/10.1016/j.joitmc.2024.100445},

year  = {2025},

date = {2025-03-01},

urldate = {2025-03-01},

journal = {Journal of Open Innovation: Technology, Market, and Complexity},

volume = {11},

number = {100445},

issue = {1},

abstract = {This study aims to provide insights to support organizations in building effective strategies for adopting Artificial Intelligence (AI) and improving project management processes. It focuses on open innovation projects. It employs a comprehensive and systematic literature review (SLR). A total of 365 publications have been chosen from a pool of 1265 papers in the IEEE and Scopus databases. The study develops a framework for literature synthesis guided by five research questions. Those questions address AI technologies, project management tasks, industries adopting AI, and requirements for successful adoption. The analysis reveals that Machine Learning is widely employed in project management, especially for predicting analytics, optimizing resources, and managing risks. AI improves open innovation project management by integrating diverse knowledge sources, enhancing collaboration, and providing strategic insights for decision-making. This study also found that AI adoption depends not only on technical infrastructure, integration with existing systems, and data readiness but also on leadership support, strategic alignment, financial resources, skills development, and organizational culture. The findings also highlight the importance of aligning AI initiatives with open innovation requirements, where collaboration, agility, and external knowledge integrations are crucial. The construction sector is at the forefront of adopting AI. This study fills a significant gap in previous research by identifying the technical and non-technical prerequisites for effectively incorporating AI into open innovation project management methodologies.},

keywords = {artificial intelligence, industry 4.0, innovation management, project management},

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}

}