derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Development of Customized Project Management Methodology for the Implementation of Online Archives Exhibitions: Insights and Evaluation from a Research and Development Organization
Authors: Arumugam P.; Temin Thomas; Rega R.
Year: 2024


 This study explores the development of a customized project management methodology tailored for the implementation of online archives exhibitions, offering insights and evaluation derived from a research and development organization. Recognizing the distinctive requirements of such projects, the research investigates the design and application of a specialized project management approach. Through a comprehensive analysis, this study presents key insights into the methodology’s efficacy and evaluates its impact within the unique context of a research and development setting. The findings contribute valuable perspectives to the evolving field of project management, particularly in the realm of digital exhibition development within innovative organizational environments.
Estimating the impact of enterprise resource planning project management decisions on post-implementation maintenance costs: a case study using simulation modelling
Authors: Meg Fryling
Year: 2010

Organisations often make implementation decisions with little consideration for the maintenance phase of an enterprise resource planning (ERP) system, resulting in significant recurring maintenance costs. Poor cost estimations are likely related to the lack of an appropriate framework for enterprise-wide pre-packaged software maintenance, which requires an ongoing relationship with the software vendor (Markus, M.L., Tanis, C., and Fenema, P.C., 2000. Multisite ERP implementation. CACM, 43 (4), 42–46). The end result is that critical project decisions are made with little empirical data, resulting in substantial long-term cost impacts. The product of this research is a formal dynamic simulation model that enables theory testing, scenario exploration and policy analysis. The simulation model ERPMAINT1 was developed by combining and extending existing frameworks in several research domains, and by incorporating quantitative and qualitative case study data. The ERPMAINT1 model evaluates tradeoffs between different ERP project management decisions and their impact on post-implementation total cost of ownership (TCO). Through model simulations a variety of dynamic insights were revealed that could assist ERP project managers. Major findings from the simulation show that upfront investments in mentoring and system exposure translate to long-term cost savings. The findings also indicate that in addition to customisations, add-ons have a significant impact on TCO.
UK Construction Industry Standing in the COVID-19 Era: Understanding the Impacts on Projects
Authors: R. Maqbool; Karishma Patil
Year: 2023

Since 2019, the year of the COVID-19 outbreak, many businesses have been shut down across different industries and geographical locations, and the construction industry is one of those that has suffered more than any other due to its volatile nature. This study emphasizes the impact of COVID-19 on project management within construction companies and the ways it has affected the completion of projects. The literature review was provided with effective theoretical information regarding the research topic by highlighting key concepts, theories, and models after identifying crucial aspects that resulted in cost and time overruns in the context of UK construction projects. This study has been conducted as a primary qualitative method to gather firsthand data employing interviews with five construction project managers from the UK. The researcher has discussed interpretivism research philosophy, the inductive research approach, and explanatory search design and has conducted purposive sampling. In addition, primary qualitative data collection and thematic data analysis have been discussed in this study. The research has identified 10 types of themes focused on the transcript, which were developed through interviews. Further, a detailed comparative discussion was made on three top themes, which were based on cost overrun, and time extension of construction projects during COVID-19. The interviewees have outlined the significant impact of COVID-19 on supply chain management and the labor force. The multimethod approach helps in understanding the diverse point of view across different countries and geographical regions and finally reaching a conclusion with a comparative approach.
ENGAGEMENT COMMUNICATION PROCESSES OF PENTAHELIX MODEL STAKEHOLDER WITHIN MAJESTIC BANYUWANGI TOURISM PROJECT MANAGEMENT
Authors: Althofi Rozaan; Bambang Dwi Prasetyo; A. Hussein
Year: 2024

This research examines the engagement communication strategies of various Pentahelix model actors in the management of tourism destinations in the Majestic Banyuwangi program. A qualitative research method was employed, with interviews serving as the data collection technique. The study indicates that the five Pentahelix actors, consisting of the government, businesses, academics, communities, and the media, play crucial roles in building engagement communication strategies. The government regulates and facilitates, businesses act as adept negotiators, academics shape understanding of issues, communities serve as decision-making centers, and the media act as information disseminators. Engagement communication strategies based on the Pentahelix model can enhance community participation and strengthen inter-actor relationships. Cross-sector collaboration and community participation bolster the development of cultural tourism. With effective promotion and holistic communication strategies, Majestic Banyuwangi has the potential to become a globally competitive tourist destination, particularly in cultural tourism.
Blockchain-Based Responsibility Management Framework for Smart City Building Information Modeling Projects Using Non-Fungible Tokens
Authors: Hao Bai; Zushun Li; Keyu Chen; Xiongwei Li
Year: 2024

In the context of digital construction, responsibility management in smart city building information modeling (BIM) projects spans the entire building lifecycle. The involvement of numerous BIM designers in project management and frequent data exchanges pose significant challenges for the traceability, immutability, and responsibility attribution of BIM models. To address these issues, this study proposes a blockchain-based responsibility management and collaboration framework for BIM projects using non-fungible tokens (NFTs), aiming to enhance the management of responsibilities and accountability in BIM projects. This research adopts a design science methodology, strictly adhering to scientific research procedures to ensure rigor. First, NFTs based on blockchain technology were developed to generate corresponding digital signatures for BIM model files. This approach ensures that each BIM model file has a unique digital identity, enhancing transparency and traceability in responsibility management. Next, the interplanetary file system (IPFS) was used to generate digital fingerprints, with the content identifier generated by IPFS uploaded to the blockchain to ensure the immutability of BIM model files. This method guarantees the integrity and security of BIM model files throughout their lifecycle. Finally, the proposed methods were validated through a blockchain network. The experimental results indicate that the proposed framework is theoretically highly feasible and demonstrates good applicability and efficiency in practical production. The constructed blockchain network meets the actual needs of responsibility management in smart city BIM projects, enhancing the transparency and reliability of project management.
Can reputation system complement limited inspection accuracy in deterring opportunistic claims?
Authors: Dan Wang; Xueqing Wang
Year: 2023

PurposeIn construction projects, engineering variations are very common and create breeding grounds for opportunistic claims. This study investigates the complementary effect between an inspection mechanism and a reputation system in deterring opportunistic claims, considering an employer with limited inspection accuracy and a contractor, which can be either reputation-concerned or opportunistic.Design/methodology/approachThis paper applies a signaling game to investigate the complementary effect between the employer's inspection and a reputation system in deterring the contractor's possible opportunistic claim, considering the information-flow influence of claiming prices.FindingsThis study finds that in the exogenous-inspection-accuracy case, the employer does not always inspect the claim. A more stringent reputation system complements a less accurate inspection only when the inspection cost is lower than a threshold, but may decline the employer's surplus or social welfare. In the optimal-inspection-accuracy case, the employer always inspects the claim. However, only a sufficiently stringent reputation system can guarantee the effectiveness of an optimal inspection in curbing opportunistic claims. A more stringent reputation system has a value-stepping effect on the employer's surplus but may unexpectedly impair social welfare, whereas a higher inspection cost efficiency always reduces social welfare.Originality/valueThis article contributes to the project management literature by combing the signaling game theory with the reputation theory and thus embeds the problem of inspection mechanism design into a broader socio-economic framework.
Ranking of total time reserves for determination of the critical path in fuzzy network plan
Authors: Vasko Gacevski; Marijana Lazarevska; Z. Zafirovski
Year: 2024

The Critical Path Method, as a method of network planning, is used in the process of planning and control of complex projects from various fields. For their successful implementation, a clear determination of the duration of each project activity is necessary. However, in construction sector it is very difficult to fulfil this requirement, because the realization of many activities is accompanied by a certain degree of uncertainty and risk. Since construction projects are characterized by uniqueness and unrepeatability, there are often no available historical data for a clear and precise determination of the duration of project activities. Given that, the duration should be predicted by expert and experienced persons, who, in the conditions of unique influencing factors and facing many inaccuracies, should define their decisions during the whole process of project management. Due to the shortcomings of classical planning methods, related to the calculation of the duration of project activities, which does not offer the possibility of modelling complex construction projects, there was a real need for the definition and implementation of new concepts of planning. As an alternative way to model uncertainty and risk, the fuzzy concept was introduced in the planning process, with which the durations of project activities are presented through fuzzy numbers. This fundamental approach, which is based on the application of fuzzy theory, enables advanced and successful modelling of real situations and projects, which overcomes the shortcomings characteristic of classical planning methods. This paper gives an overview of one practical example of application of fuzzy logic in the planning process. One method of ranking fuzzy numbers has been applied for calculation of the earliest and the latest fuzzy time of project activities, and the total time reserves, in order to determine the critical path in fuzzy network diagrams.
What project management really is about: alternative perspectives on the role and practice of project management
Authors: J. Söderlund
Year: 2005

Projects play key roles in most modern industries and firms. The management of these economic activities, project management, is continuously developed and today considered to be at the center of c ...
Optimizing SAP Project Systems (PS) for Agile Project Management
Authors: Rajesh Tirupathi; Abhijeet Bajaj; Priyank Mohan; Prof.(Dr) Punit Goel; Dr Satendra Pal Singh; Prof.(Dr.) Arpit Jain
Year: 2024

The evolution of project management methodologies has necessitated the need for organizations to adapt their project management tools and systems to better support Agile practices. As companies increasingly embrace Agile methodologies to enhance flexibility, responsiveness, and collaboration, the traditional project management systems, particularly SAP Project Systems (PS), face challenges in effectively supporting these new frameworks. 
Employing a mixed-methods research design, this study utilizes qualitative and quantitative data collection methods, including surveys and case studies from organizations that have successfully implemented Agile methodologies within their SAP PS environments. The findings reveal common challenges faced by organizations, including resistance to change, lack of training, and insufficient customization of SAP PS to support Agile workflows. Additionally, this research identifies successful strategies for optimizing SAP PS to align with Agile principles, such as customizing the system to allow for iterative planning, real-time updates, and enhanced collaboration tools. 
This paper contributes to the existing body of knowledge by providing practical insights and actionable recommendations for organizations looking to enhance their project management capabilities through the integration of Agile methodologies within SAP PS. The findings encourage further research into the development of innovative solutions that bridge the gap between traditional project management systems and Agile practices, ultimately paving the way for more effective project execution in a dynamic business environment.
Enhancing Agile Project Management Education with AI: ChatGPT-4's Role in Evaluating Student Contributions
Authors: Diego Miranda; Dayana Palma; Adrian Fernández Canino; René Noël; C. Cechinel; R. Muñoz
Year: 2024

The planning poker estimation technique encour-ages all team members to participate equally, which is essential in the training of future software engineers. By proposing a coordination scheme based on the experience and knowledge of the team members, it enforces the common ownership of effort estimation. Thus, it is crucial that all members contribute to the process [10]. However, given the personal factors that could affect team interaction dynamics, the contributions of team members could not be equally distributed, hindering the goal of the technique. Ensuring the equal participation of team members sets a challenge not only in the professional context but also for training future software developers and team managers [18] that must facilitate team collaboration. Hence, it is vital to detect team members' contributions in order to value collaboration in a development team. In this article, we present the analyses of the interventions of 13 groups of students from the Computer Engineering course at the University of Valparaiso during a user story estimation activity using planning poker. The experimental setup involved computer science undergraduate students, performing a learning activity regarding the Planning Poker estimation technique. The students' interventions were classified according to a human expert following a collaboration framework. Subsequently, they were classified using ChatGPT 4 using the Zero Shot technique in order to compare the automatically generated labels with those provided by human experts. The type of classification used was binary to determine whether or not the intervention analysed was a contribution. The analysis focused on evaluating the accuracy and consistency of ChatGPT in the contribution classification task, considering the model's ability to correctly identify the different types of interventions. The results of this comparison demonstrate the effectiveness of ChatGPT and its potential to assist in real-time evaluation and analysis tasks. This study enhances the understanding of how artificial intelligence tools can complement the work of human experts, improving efficiency and accuracy in educational and agile project management activities.
Utah's IBIS-PH: an innovative user interface solution for Web-based data query systems.
Authors: Garth Braithwaite; L. Haggard
Year: 2006

The ability to make good Web-based data query system (WDQS) project management decisions requires an understanding of the trade-offs inherent among various technology options. This article presents the current options available for the user interface and data display and compares the advantages and disadvantages of each for use in a WDQS. Relevant options are also discussed for back-end technologies such as Web and application servers and data storage mechanisms. We explain our decisions in developing the Indicator-based Information System for Public Health (IBIS-PH) query system to increase the probability of success and minimize risk. Finally, we compare the resulting IBIS-PH application characteristics with our original design requirements: broad public access; rich, interactive, and easy-to-use interface; portability; accessibility; maintainability of software and interface; supportability; low cost; and security.
Project-based maturity assessment model for smart transformation in Taiwanese enterprises
Authors: Tzu-Chieh Lin; Kung-Jeng Wang
Year: 2021

As smart technology proliferates, enterprises must engage not only in the transformation of intelligence but contend with pressure do so as soon as possible. Smart transformation is critical for manufacturing enterprises in the development of smart manufacturing. This study addressed the gap between maturity models and project management by designing an effective assessment framework for smart transformation. It adopts the Smart Industry Readiness Index, created by the Singapore Economic Development Board, as a maturity assessment model to analyze enterprises’ smart transformation and formulate project management strategies. Enterprises can use this model to examine the maturity level of their transformation and assess scope for improvement in their project strategies and implementation barriers. This study focuses on Taiwanese enterprises using data collected from 165 valid questionnaires and subjected to a cluster analysis. Enterprises were divided into three categories. The results reveal that, first, most enterprises’ smart transformation is at an immature or medium-maturity level, and is therefore amenable to further improvement. Second, inconsistent with research findings, many enterprises invest in transformation projects but fail to advance these projects to maturity. Third, most enterprises’ project management plans fail to meet actual transformation needs. Using the thematically oriented maturity model proposed in this study, Taiwanese enterprises can effectively evaluate the maturity of their transformation projects. In conclusion, the study highlights that Taiwanese enterprises must identify more effective external resources to strengthen their competitiveness.
Analysis of Remote Quality Inspection System for Construction Projects
Authors: Jun Pang
Year: 2017

The technology for remote quality inspection system for construction projects like intergrated video , communication network and software integration technology, has achieved the text image data collection, remote experts quality inspection and improve the construction project management quality and efficiency, which has a good development prospect.
Analisis Bottleneck pada Produksi Lemon Kering dengan Metode Value Stream Mapping dan Fish Bone Diagram
Authors: Hurun'in; Indro Prakoso; Megah Bintang Samudro; Arianty Puji
Year: 2024

In production and project management, a bottleneck is a disruption of one process in the process chain, so that its limited capacity reduces the capacity of the entire chain. One of the companies in Indonesia that operates in the agricultural industry and produces dried lemons is PT. Semesta Agro Indonesia. At PT. Semesta Agro Indonesia, frequent imbalances in production trajectories were detected. This happens because the dry lemon production line has a queue of material that blocks the production flow. This research was conducted to identify the causes of bottlenecks that occur in the dry lemon production process at PT. Semesta Agro Indonesia. The research results showed that lemon production experienced a bottleneck at the drying and slicing workstations, with a total time in each department of 15,529 seconds and 7,778 seconds, and 5 unnecessary activities were found with a total time of 1844 seconds (30 minutes and 44 seconds). Once an activity is found that does not add value, it is necessary to eliminate it in the process. After eliminating several non-value-added activities, the cycle time, which was previously at 35,679, fell to 33,835 seconds, or a decrease of 30 minutes and 44 seconds
Similarity Discriminating Algorithm for Scientific Research Projects
Authors: Chong Li; Jinjie Zhang; Anyu Wang; Xuemin Liu; Yunchsun Sun; Shibo Zhang; Zhixia Ji; J. Zhang
Year: 2023

An enormous challenge for project management is to identify similar research projects accurately and efficiently among numerous proposals. To address this challenge, this paper proposes an algorithm to calculate the similarity between research projects using an improved generating method for fused word order sentence vectors based on USIF (unsupervised random walk sentence embeddings). The experimental results show that the proposed algorithm is about 15.8% more accurate than the existing approaches. The authors also propose a pre-checking algorithm by introducing a complex research cooperation graph to enhance query efficiency. The results show the pre-checking method reduces the query time cost by 96% on average.
Technological assessment and process implications of field data capture technologies for construction and facility/infrastructure management
Authors: Semiha Kiziltas; B. Akinci; E. Ergen; P. Tang; Chris Gordon
Year: 2008

Collection of accurate, complete and reliable field data is not only essential for active management of construction projects involving many tasks, such as material tracking, progress monitoring and quality assurance tasks; but also for facility/infrastructure management during the service life of facilities and infrastructure systems. Limitations of current manual data collection approaches in terms of speed, completeness and accuracy, and implications of these limitations for construction management practice are discussed by many researchers. Advancements in field data capture technologies (such as smart tags, laser scanners, and embedded sensors) enable collecting, storing and reusing field data accurately, completely and reliably. We show that while these technologies are capable of streamlining the associated processes, their performances differ from the manufacturers’ specifications when utilized on construction sites due to issues, such as interference, data reading range, data accuracy, interoperability of hardware and software, and memory limitations. In addition, while these technologies eliminate some non-value adding tasks associated with corresponding project management processes, they can also add new tasks that need to be performed prior to, during, or after the utilization of a technology at the field. Hence, a thorough understanding of both the technological capabilities and process implications of these technologies is needed to be able to utilize them effectively during construction and service life of facilities.