derhan/semantic-scholar-manajemen-proyek huggingface dataset:
A fuzzy methodology for innovation management measurement
Authors: V. Alfaro-Garcia; A. M. G. Lafuente; Gerardo G. Alfaro Calderón
Year: 2017

Purpose 
 
 
 
 
Innovation has been recognized as one of the main sources of competitive advantage for organizations and nations. The purpose of this study is to present an innovation management measurement approach by applying fuzzy techniques to small- and medium-sized manufacturing enterprises. 
 
 
 
 
Design/methodology/approach 
 
 
 
 
This study presents a survey focusing on seven innovation measurement areas: innovation strategy, knowledge management, project management, portfolio management, internal enablers, organization and structure and external enablers. A total of 91 small- and medium-sized enterprises (SMEs) located in the city of Morelia, Mexico, participated in the study. Furthermore, the data collected were analyzed under a multi-criteria decision-making approach using the theory of expertons and the induced generalized ordered weighted averaging operator. 
 
 
 
 
Findings 
 
 
 
 
The results show that the most valued areas are innovation strategy, organization and structure, knowledge management and project management. Furthermore, portfolio management, external drivers and internal drivers are the areas with the lowest valuations. 
 
 
 
 
Originality/value 
 
 
 
 
This paper presents an original methodological structure based on an expertise process designed to achieve well-founded results from uncertain and subjective opinions directly from the managers of the surveyed SMEs.
Development of a Cost Prediction Model for Design Changes: Case of Korean Apartment Housing Projects
Authors: Ie-Sle Ahn; Jae-Jun Kim; Joosung Lee
Year: 2024

Apartment buildings are significantly popular among South Korean construction companies. However, design changes present a common yet challenging aspect, often leading to cost overruns. Traditional cost prediction methods, which primarily rely on numerical data, have a gap in fully capitalizing on the rich insights that textual descriptions of design changes offer. Addressing this gap, this research employs machine learning (ML) and natural language processing (NLP) techniques, analyzing a dataset of 35,194 instances of design changes from 517 projects by a major public real estate developer. The proposed models demonstrate acceptable performance, with R-square values ranging from 0.930 to 0.985, underscoring the potential of integrating structured and unstructured data for enhanced predictive analytics in construction project management. The predictor using Extreme Gradient Boosting (XGB) shows better predictive ability (R2 = 0.930; MAE = 16.05; RMSE = 75.09) compared to the traditional Multilinear Regression (MLR) model (R2 = 0.585; MAE = 43.85; RMSE = 101.41). For whole project cost changes predictions, the proposed models exhibit good predictive ability, both including price fluctuations (R2 = 0.985; MAE = 605.1; RMSE = 1009.5) and excluding price fluctuations (R2 = 0.982; MAE = 302.1; RMSE = 548.5). Additionally, a stacked model combining CatBoost and Support Vector Machine (SVM) algorithms was developed, showcasing the effective prediction of cost changes, with or without price fluctuations.
A Cloud-Based Mobile System to Improve Project Management Skills in Software Engineering Capstone Courses
Authors: Andrés Neyem; Juan Diaz-Mosquera; J. I. Benedetto
Year: 2018

Capstone project-based courses offer a favorable environment for the development of student skills through an approach incorporating theoretical and practical components. However, it is often difficult to successfully coordinate between students, stakeholders, and the academic team. The absence of suitable tools for addressing this issue, along with time constraints, often prevents students from attaining the expected course outcomes. This raises the question “How can we improve project management skills in computing majors through the use of technology-enhanced learning environments?” This paper presents a Cloud-based mobile system for supporting project management under a framework of best practices in software engineering capstone courses. The Kanban approach was used as a core of the proposed system. Kanban boards are very popular in the software industry today. It has been empirically shown that they provide increased motivation and project activity control due to their inherent simplicity. This helps the students and academic team be aware of the project context as it aids in preventing ambiguities, flaws, or uncertainties in the development of software artifacts.
The nature and practices of the use of Machine Learning and Deep Learning Frameworks to assist Software Project Management: A Developing Country Context
Authors: Adam Amril; Jaharadak Haslinda; Sutan Ahmad Nawi
Year: 2024

The study conducted a comprehensive analysis of literature and interviews related to the use of ML and DL in SPM, identifying challenges and gaps in the field. The study adopts a qualitative research design, gathering data through semi-structured interviews with project managers involved in SPM using ML and DL frameworks. The collected data is analysed using thematic analysis to capture the participants' subjective experiences, perceptions, and opinions. The findings suggest that while the use of AI techniques for SPM has been gaining attention, it is still in its infancy, with limited research and practice in developing countries. The study also emphasizes the unique challenges faced by developing countries in SPM, including limited resources, diverse stakeholders, cultural differences, and rapid changes. It suggests that ML and DL frameworks can offer advantages in enhancing the productivity, innovation, and competitiveness of software projects in these contexts. However, the study acknowledges that there are limitations to these AI techniques for SPM, and further research is needed to address these limitations. The study bridge the gap between theory and practice by offering practical insights for project managers and recommendations for future research in utilizing ML and DL frameworks to assist SPM.
A Decision-Making Approach Incorporating TODIM Method and Sine Entropy in q-Rung Picture Fuzzy Set Setting
Authors: Büşra Aydoğan; M. Olgun; F. Smarandache; M. Ünver
Year: 2024

In this study, we propose a new approach based on fuzzy TODIM (Portuguese acronym for interactive and multicriteria decision-making) for decision-making problems in uncertain environments. Our method incorporates group utility and individual regret, which are often ignored in traditional multicriteria decision-making (MCDM) methods. To enhance the analysis and application of fuzzy sets in decision-making processes, we introduce novel entropy and distance measures for q-rung picture fuzzy sets. These measures include an entropy measure based on the sine function and a distance measure derived from the Jensen-Shannon divergence. In our methodology, incorporating the sine function into the entropy measure stands out as a distinctive decision, grounded in a profound understanding of the inherent characteristics of fuzzy sets. Utilizing the sine function proves especially advantageous when handling fuzzy sets that exhibit cyclical variations or fluctuations in their membership degrees. We effectively weight the criteria for an improved evaluation by using this new entropy measure. The introduced distance measure finds application in the TODIM approach, allowing the execution of TODIM method steps within a fuzzy environment until the determination of one alternative’s dominance over another—an advancement beyond traditional approaches. We apply our enhanced fuzzy TODIM method to a real-life construction project management problem from the literature and compare the results with those in the literature and obtained from other MCDM methods. Our proposed measures are robust, as demonstrated by the sensitivity analysis that varied the weights of group utility and individual regret, with the results visualized in a 3D sensitivity plot. The findings demonstrate the superiority of our method in providing a more comprehensive evaluation of alternatives, making it a useful tool for decision-makers facing complex and uncertain decision-making problems.
Advancing social practice understandings of digital innovation delivery in construction project management
Authors: W. H. Collinge
Year: 2024

PurposeThe paper aims to apply social practice theory to clarify the process of innovation design and delivery from one successful digital innovation: the building information modelling (BIM) risk library. The paper clarifies the practices surrounding construction innovation and provides a schema useful for practitioners and technology designers through a social practice analysis.Design/methodology/approachThe paper applies Schatzki's “organisation of practice” concepts to a construction project innovation to clarify how the practice of innovation revolves around understandings, rules and teleoaffectivities (emotive behaviours). Sources for the study include notes from meetings, workshops with experts and the shared artefacts of innovation.FindingsThe practice of innovation design and delivery are clarified through a social practice analysis: a distinct “field of practice” and a “schema” of generalisable prescriptions and preferences for innovation delivery being presented.Practical implicationsThe paper informs the practice and process of innovation design and delivery; the insights clarify how collective understandings and rules of use evolve over time, becoming formalised into contracts, agreements and workplans. Practically, processes whereby innovation “sayings” evolve into innovation “doings” are clarified: a schema detailing prescriptions and preferences of practitioners and developers being presented.Originality/valueThe social practice analysis of one successful construction innovation is an original contribution to the body of knowledge, adding a level of detail regarding innovation design and delivery often missing from reported research.
Application and Practice of Agile Methods in Project Management
Authors: Haibo Li
Year: 2024

. In the rapidly changing business environment, traditional project management methods often struggle to cope with high uncertainty and swiftly changing demands. Agile methods, known for their adaptability and flexibility, have become an effective tool to address this issue. This paper deeply analyzes the core principles of agile methods and, combined with practical cases across multiple industries, discusses their application and effectiveness in project management. The research finds that agile methods not only improve project adaptability and team collaboration but also significantly enhance customer satisfaction. The study emphasizes that although agile methods perform well in practice, they also present challenges that require continuous practice and optimization to overcome.
Best Practice Guidelines on Surgical Response in Disasters and Humanitarian Emergencies: Report of the 2011 Humanitarian Action Summit Working Group on Surgical Issues within the Humanitarian Space
Authors: S. Chackungal; J. Nickerson; L. Knowlton; Lynn Black; F. Burkle; K. Casey; D. Crandell; Didier Demey; Lillian Di Giacomo; L. Dohlman; Joshua Goldstein; J. Gosney; Keita Ikeda; A. Linden; C. Mullaly; C. O'Connell; A. Redmond; A. Richards; Robert Rufsvold; A. R. Santos; Terri Skelton; K. McQueen
Year: 2011

Abstract The provision of surgery within humanitarian crises is complex, requiring coordination and cooperation among all stakeholders. During the 2011 Humanitarian Action Summit best practice guidelines were proposed to provide greater accountability and standardization in surgical humanitarian relief efforts. Surgical humanitarian relief planning should occur early and include team selection and preparation, appropriate disaster-specific anticipatory planning, needs assessment, and an awareness of local resources and limitations of cross-cultural project management. Accurate medical record keeping and timely follow-up is important for a transient surgical population. Integration with local health systems is essential and will help facilitate longer term surgical health system strengthening.
RESCON: Educational project scheduling software
Authors: Filip Deblaere; E. Demeulemeester; W. Herroelen
Year: 2011

In this article we discuss a freely downloadable educational software tool for illustrating project scheduling and project management concepts. The tool features exact and heuristic scheduling procedures and visualizes project networks, project schedules, resource profiles, activity slacks, and project duration distributions. © 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 19: 327–336, 2011
When Cultures Meet: Modelling Cross-Cultural Knowledge Spaces
Authors: Anneli Heimbürger
Year: 2008

Cross cultural research projects are becoming a norm in our global world. More and more projects are being executed using teams from eastern and western cultures. Cultural competence might help project managers to achieve project goals and avoid potential risks in cross cultural project environments and would also support them to promote creativity and motivation through flexible leadership. In our paper we introduce an idea for constructing an information system, a cross cultural knowledge space, which could support cross cultural communication, collaborative learning experiences and time based project management functions. The case cultures in our project are Finnish and Japanese. The system can be used both in virtual and in physical spaces for example to clarify cultural business etiquette. The core of our system design will be based on cross cultural ontology, and the system implementation on XML technologies. Our approach is a practical, step by step example of constructive research. In our paper we shortly describe Hofstede's dimensions for assessing cultures as one example of a larger framework for our study. We also discuss the concept of time in cultural context.
Using diaries in group based information behavior research: a methodological study
Authors: Jette Hyldegård
Year: 2006

This paper presents and discusses the usage of the diary method in two case studies of group members' information behavior and reflects upon the results and implications for future work. The diary focused on group members' activities and emotional experiences during a project assignment, but differed in both design and usage between the two case studies, e.g. between a structured diary with fixed response-categories and an unstructured diary with no response-categories; between an electronic and a manually kept diary; and between four weeks and one week at three selected points. The diary method was found to generate useful data on group members' actions and behavior, though also stressing the importance of a proper introduction, training, a free format with minor structure, practical feasibility, and participant motivation. As a side effect, both diaries turned out to serve as an instrument for group members' reflection and project management.
Supporting Collaboration in the Geographically Distributed Work with Communication Tools in the Remote District SME's
Authors: K. Liukkunen; Kai Lindberg; Jarkko Hyysalo; Jouni Markkula
Year: 2010

In the global software development environment, the companies face the challenges of collaboration. This is particularly challenging for software companies in rural areas, which are typically small companies with limited resources. Often their customers and partners are also geographically dispersed. These factors, in addition to geographical distances, highlight the challenges of communication and collaboration. The focus of this research is to find out how to support geographically dispersed/distributed projects. We addressed this problem by identifying the key categories of collaboration challenges from the literature and conducting an empirical study on companies of the area. The study consists of 30 interviews with 13 companies sited mostly in Finnish rural area, Kainuu region. The company interviews revealed that, instead of the project management purposes, communication tools are needed to provide an infrastructure for collaborative sessions, to interact with colleagues and customers. Limited resources also add the challenges of the communication tools and processes implementation.
A Conceptual Framework for Applying Artificial Intelligence in Project Management
Authors: Gunnar Auth; Jan Jöhnk; Dennis A. Wiecha
Year: 2021

Due to their characteristic novelty and uniqueness, projects do not appear as a promising application domain for the use of artificial intelligence (AI) at first glance. Since most AI methods, especially machine learning, require comprehensive sets of historical data, the benefits of applying AI to project management (PM) seem to be hardly worthwhile. Based on existing solutions in theory and practice as well as the results of an explorative interview study in Germany, this article shows that AI can nevertheless make a valuable contribution to improving PM. For this purpose, we present a framework that defines the fundamental concepts for applying AI to PM comprising both the requirements of AI for the application domain PM as well as the requirements of PM for the solution domain AI. Considering the two domains’ mutual requirements, the framework structures the potential for the application of AI in PM and thus supports a targeted solution design for business.
Reverse Engineering of Building Layout Plan through Checking the Setting out of a Building on a Site Using 3D Laser Scanning Technology for Sustainable Building Construction: A Case Study
Authors: Hyunjun Kim; Ju-Yong Kim; Yoonseok Shin
Year: 2024

Among smart construction technologies, 3D laser scanning technology is used in a variety of applications, including progress measurement, quantity management, reverse engineering (RE), health monitoring, mechanical electronic plumbing (MEP), and so on, using point clouds data (PCD) in the architecture, engineering, and construction (AEC) field. This technology is one of the important data acquisition technologies in construction status to perform active project management through the complete and accurate three-dimensional and visual judgment of building acts. The surveying work for setting out a building is the first step in constructing a building; the location of the building must match the design plan for a building to be sustainable. This is because, if a location deviation exceeds the permitted range, the building must be demolished and rebuilt. When this happens, sustainable construction management is impossible due to delays in the construction schedule, increased construction costs, waste generation, and so on. The purpose of this study is to investigate a case where the accuracy of setting out a building was measured in the construction stage of a building and the building layout design was modified by RE. Although the foundation construction of the case building was in progress, it was confirmed that the setting out of the building measured using a 3D laser scanner did not match with the building layout plan. Therefore, there was no legal problem even if the layout plan is modified according to the measured results, so the building layout plan was modified through RE. Consequently, it was confirmed that a case building under construction became sustainable through RE, and that sustainable construction management was possible by preventing construction schedule delays, increased construction costs, and waste generation.
Develop breakthrough competence for managing change through strategic project management office
Authors: Ipek Sahra Ozguler; S. Yilmaz
Year: 2017

According to the Cambridge Dictionary, the breakthrough is defined as "an important discovery or event that helps to improve a situation or provide an answer to a problem. Tony and Laura indicate that "the idea of breakthrough comes from the Japanese philosophy of hoshin" and describe hoshin as "a particulary great appeal in high technology markets principally, because it helps companies to prioritize. Hoshin actually prescribes that only a really small number of breakthrough projects or programmes should be attempted at any one time in a particular business are." [1] Based on these statements, the authors will explain the development way of breakthrough competence for managing change through strategic project management office. The development way consists of following steps: Determine the Change Management Maturity Model, Assess the Current Organizational Change Management Maturity Level, Report to the Executives, Develop Roadmap, Gain Executive Commitments, Initiate and Manage a Change Management Improvement Project, Assign a Change Manager, Sustain Change Management.
Enhancing Project Management Efficiency Through AI Integration, Team Proficiency, and Organizational Support: A Study in the Pakistani Context
Authors: Aasim Munir Dad; Abdur Rahman Khan; Asif Jamal
Year: 2024





In the realm of Artificial Intelligence (AI) integration and project management efficiency (PME), a comprehensive research study has been conducted, primarily focusing on various industries in Pakistan. The intricate interplay between AI integration, team proficiency in AI, organizational support for AI technologies, and PME forms the crux of this investigation. The theoretical underpinning of this research has been rooted in the Resource-Based View (RBV) theory. Data for this study have been collected through a structured questionnaire survey, targeting a diverse group comprising project managers, IT managers, senior executives, and other key personnel engaged in AI-driven decision support systems. The research has revealed significant positive correlations between the integration of AI, team proficiency in AI, organizational support for these technologies, and PME. These findings highlight the crucial role these elements play in enhancing project outcomes. This study, by uncovering these relationships, offers valuable insights for organizations aiming to optimize their project management practices, especially in emerging economies like Pakistan. It contributes to the existing body of knowledge by providing a nuanced understanding of how AI integration can be leveraged to enhance project management efficiency. Furthermore, the study discusses broader implications for policy and suggests directions for future research, emphasizing the strategic importance of nurturing AI competencies and fostering organizational support for AI technologies to realize enhanced project management outcomes.
Modeling the Effects of Time pressure and Feedback on Eye movements and Learning Performance
Authors: Ji-Eun Kim; D. Nembhard
Year: 2018

Eye movement measurement is both non-invasive to the learner, and available at a cost that is steadily decreasing. There are currently several mainstream laptop computers on the market that ship with fully integrated eye-tracking. Eye movements will take on a role as inputs to predict individualized learning performance. In response to the increased usage of this tool, this study uses eye-tracking technology to investigate the effects of time pressure and feedback on changes in eye movement by generating structural models. We tracked participants’ eye movement, and to relate this eye movement to human learning behaviors while participants were asked to complete online training for a Project Management task. The study measured participants’ eye-movements in response to the amount of time to deadlines and feedback updating the remaining time. Results showed that eye movement partially mediated the relationship between time to deadline and task completion time. The results of the study will be advantageous in predicting individualized learning performance based on eye movements.