derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Conceptual Model of Management of Technologically Integrated Industry Development Projects
Authors: A. Tryhuba; I. Tryhuba; Oleg Bashynsky; I. Kondysiuk; N. Koval; Larysa Bondarchuk
Year: 2020

The existing industry development project management tools have several drawbacks. This leads to the development of models and methods for managing integrated projects in various fields of application. The systematic analysis of individual industries and their systematic properties are the basis for the initiation of integrated projects for their development and evaluation of value indicators. It is substantiated that an important condition for the implementation of integrated projects is the development of a conceptual model for managing these projects. The proposed conceptual model of management of technologically integrated industry development projects is based on a system-value approach and imitation modeling. This model of managing integrated industry development projects is based on a systematic approach. Using a systematic approach made it possible to formulate a number of direct and inverse managerial tasks, the solution of which requires the execution of project modeling. This simulation will allow us to uncover cause and effect relationships between many integrated projects and their products. It is established that the conceptual model of management of technologically integrated industry development projects involves the systematic consideration of many interconnected raw material production projects, logistics projects and projects of creating finished products for consumers, in each of which value is formed. Further research requires the development of simulation models of these projects to quantify value based on their modeling.
The Application of Systems Engineering to Project Management: A Review of Their Relationship
Authors: B. Galli
Year: 2020

This study investigated the application of systems engineering to project management. There is an increasing complexity to modern projects, and lifecycle-focused project management displays the inability to manage the risks associated with increased project complexity. A more adequate approach to these issues is presented in the systems engineering processes. It was proposed that the application of systems engineering concepts will allow improve the management of complex projects and the mitigation of risks. Additionally, qualitative research conducted via the collection and analysis of credible information yielded data that supported this proposition. Since systems engineering processes are adaptable, they are suited to manage complex problems. It was concluded that applying systems engineering to project management was beneficial, and the integration of methodologies was valuable to the successful completion of large scale, complex projects.
Shared discovery: A process to coproduce knowledge among scientists, policy makers, and stakeholders for solving nutrient pollution problems.
Authors: Matthew B Royer; R. Brooks; J. Shortle; S. Yetter
Year: 2020

There is growing recognition of the importance of involving stakeholders in solution-oriented multidisciplinary environmental research projects. Management of nutrients to address water pollution is a wicked problem requiring multidisciplinary research and participation of stakeholders. Here, we frame participatory research as shared discovery, a deliberative, focused engagement process that serves as a directional guide for how research unfolds during the entire span of a project. We explore its application within a 5-yr, multidisciplinary research project seeking innovative solutions to nutrient management challenges in four agriculturally influenced small watersheds in the Chesapeake Bay basin. This process involved deliberate development of a stakeholder engagement strategy and structure, which included a specific research team dedicated to implementing shared discovery throughout. Recognizing that stakeholders involved in nutrient and watershed management engage at multiple scales, we developed a biscalar approach to engage stakeholders at both a regional or state policy level and within the local study watersheds. Early collaboration allowed stakeholders to be participatory in developing research questions and shaping research design, which made research results more applicable to the identified problems. The biscalar framework for engagement was a novel approach that allowed researchers to incorporate both broader policy concepts into research and local concerns and concepts specific to the small study watersheds, allowing solutions to be tailored to local needs. Although infusing research with stakeholder engagement and input from the outset is a time-consuming process, it bolsters research design and products and leads to greater application of research to solve nutrient pollution-a wicked problem indeed.
An Empirical Investigation on the Satisfaction Levels with the Requirements Engineering Practices: Agile vs. Waterfall
Authors: M. Kassab; J. Defranco; V. V. G. Neto
Year: 2018

Agile development practices have become widely accepted as an effective project management approach in order to have rapid delivery of high-quality software. As with traditional waterfall projects, effective communication is also a necessity for the success of an agile project. However, the agile principles set a different tone for project development. The difference in tone is also reflected on how requirements are captured, analyzed and communicated under the agile umbrella. Little contemporary data exists that document actual practices of software professionals for software Requirements Engineering (RE) activities in agile environments. To remedy this deficiency and provide useful data to other researchers we conducted a survey study on the current RE state of practice. In this paper, we run a series of Mann-Whitney-Wilcoxon (MWW) tests to examine a set of null hypothesis on the performance of and satisfaction with various RE related activities in environments where RE are practiced and communicated in agile context in comparison to the classical waterfall context. The results indicated that there is no difference that can be determined between the agile and waterfall in regards with the satisfaction with the RE practices, but also a higher level of satisfaction for agile sample in comparison to waterfall) can be determined in regards to aspects related to productivity and final product quality.
Leadership Behaviors in Information Technology Project Management: An Exploratory Study
Authors: Hazel Taylor; J. Woelfer
Year: 2011

While IT projects continue to have a poor reputation for successful outcomes, there is increasing evidence that the project manager's skills can be critical for effective project team performance. The aim of this exploratory study was to examine the leadership behaviors of IT project managers, with the goal of exploring the types of leadership behaviors they used to keep their projects on track. We used an interpretive critical incident method to explore this under-investigated area, interviewing 23 experienced IT project managers from 11 different organizations. Results showed that these managers relied predominantly on task behaviors to ensure efficiency in their projects and boundary-spanning behaviors to manage intra- andinter-organizational collaborations. The prevalence of boundary-spanning behaviors suggests organizations should ensure that personnel in project management roles have both task-oriented knowledge and boundary-spanning skills to bridge the gap between the team and wider stakeholder groups, both within and external to the organization.
Endow a service-oriented architecture by a decisional aspect
Authors: Fatima Boumahdi
Year: 2013

Service oriented architecture is more and more used in the companies, The importance of the service orientation and its advantages with the information system of the company, confront us to a new challenge. It is primarily to ensure the decision aspect of the information system of company by adopting Services Orientated Architecture like support architecture. This engineering must ensure on the one hand the flexibility of the information system and on the oth-er hand, avoids the redevelopment of the system by the decisions request. In the actual position, several obstacles force the installation of the SOA within the company. It is basically a question of the lack of method to be implemented to define the services architecture within the information system of the company which takes account the decisional aspect. Moreover, there's no existing works which treat this challenge. On the basis of these notes, we are interested, in this paper, on the develop-ment of a three-dimensional new architecture for the integration of the deci-sional aspect in SOA architectures, so that they are used perfectly. The proposal takes support, mainly, on the use of a coupling MAS-SOA. To demonstrate the application of our proposition, we use two study cases: project management and Evapo-transpiration.
Optimal Incentive Contracts in Project Management
Authors: Milind Dawande; G. Janakiraman; Anyan Qi; Qi Wu
Year: 2018

Motivated by the ever‐growing complexity of projects and the consistent trend of outsourcing of individual tasks or components, we study the contract‐design problem faced by a firm (or organization) for executing a project consisting of multiple tasks, each of which is performed by an individual contractor whose efforts (work‐rates) are not observable. While the contractors incur costs continuously during the course of their tasks, the firm realizes its reward or revenue only when the entire project is (i.e., all tasks are) completed. The firm’s contract‐design decisions and the contractors’ effort‐level decisions are all governed by the goals of maximizing the respective party’s expected discounted profit. We adopt the framework in Kwon et al. (2010a) and Chen et al. (2015), and derive optimal contracts for both parallel projects (tasks can be performed in parallel) and sequential projects (tasks have to be performed sequentially). The simplicity of the contracts we obtain suggests that there is potential for designing profit‐maximizing contracts without paying a price in terms of contract complexity.
Neural Network Intelligence Model for Software Projects Cost Prediction
Authors: Mohamed Ahmed Hamada
Year: 2023

This article aims to develop a prediction cost estimation model as a part of software project management methodology. The model is based on Neural Network technology to predict the early value of cost for software project development to overcome the problem of determining the unrealistic and overrun cost of the software projects, especially for project managers who need to determine the cost of the project at the early days of software development. The model was trained and generated high-accuracy results.
A new proposal of an active object-oriented project management system for electronic health records.
Authors: Y. Kondo
Year: 2008

To improve medical safety by clinical decision support algorithm, the information unit was structured for each medical act, which included the medical logics arranged on timeline view with virtual time travelling (VTT) interface. The unit of acts was named as 'Core of Act (COA)', which enabled us to control the requirement and departure among COAs for conducting the safest medical procedure. This concept is highly supportive for any clinical activities with safety and efficiency.
The Influence Analysis of Opening Projects on Project Performance
Authors: Miao-Ling Wang; Jia-Ru Li; Sheng-Hung Chang
Year: 2011

Critical chain project management (CCPM), proposed by Goldratt (1997), has been proved to be very prominent in overcoming the weaknesses of human nature in order to achieve a more effective project management. Goldratt suggested that, in order to reduce the impact of bad multi-tasking on project delivery in the multi-project environment, the density of open projects (BN Closeness) should be reduced at least to 75% and below the generally recognized load (Goldratt, 2006). On the other hand, to get better use of resources in practice, the resource loading assignment tends to higher and evener. The above two viewpoints are all considerably related to the use and allocation of project resources. However, both perspectives have no support of actual data. In this study, we employ the @Risk for project simulation software for evaluation and verification of the appropriate density of open projects. The research findings suggest, in general, the density of open projects should be in the range of 75%~100% of the load in multi-project environments of
Evaluating the Performance of Taiwan Airport Renovation Projects: An Application of Multiple Attributes Intelligent Decision Analysis
Authors: Yu-Jen Chung; Ching-Lung Fan; Shan-Min Yen; Kuei-Hu Chang
Year: 2024

Performance evaluation is a vital tool for measuring whether construction projects meet their established objectives, particularly in complex tasks. It helps identify key areas for improvement and enhances resource allocation efficiency. Through precise performance evaluation, managers can make optimal decisions regarding resource use, ultimately increasing project productivity and overall performance. The objective of this study is to measure the production efficiency of airport renovation projects in Taiwan using data envelopment analysis (DEA) and to apply artificial neural networks (ANN) for predicting project quality. DEA effectively handles scenarios with multiple inputs and outputs, providing relative efficiency comparisons among projects and quantifying the potential for improvement. ANN, on the other hand, can learn nonlinear patterns from the data, allowing for accurate predictions of project quality. As construction projects become more complex, ensuring efficient operation within limited resources becomes increasingly crucial. Traditional performance evaluation methods are inadequate for addressing scenarios involving multiple inputs and outputs; therefore, using DEA and ANN offers a more accurate framework for analysis and prediction. The results of this study indicate that, through the DEA model, five projects achieved an efficiency score of 1, while twelve inefficient projects need to reduce defect frequency by 54.76% and increase the progress and budget implementation efficiency by an average of 10.33% to improve performance. The ANN model achieved a classification accuracy of 94.1% and a mean squared error (MSE) of 0.11 in regression predictions. By adopting a data-driven approach, ANN facilitates intelligent decision making and forecasting throughout the construction process. This study provides construction managers with concrete guidelines for resource allocation and quality prediction, thus enhancing project management effectiveness.
A Decision Model for Human Resource Allocation in Project Management of Software Development
Authors: Chiang Yi Hui; B. Lin
Year: 2020

In project management, especially of software development, human resource allocation is critical not only for project success including timely delivery and products quality but also for cost estimation to a software company to decide to contract projects or not. Many approaches have been proposed to provide assistance for human resource allocation in view of minimizing project duration and project cost or maximizing revenue and efficiency. These approaches may sometimes not be comprehensive in real-world environments without addressing some key factors like transferring cost, communication, and negative efficiency, which usually have crucial impacts on assignment applicability. This article is proposing a framework for assisting a software company to evaluate existing resource for making decisions on whether the estimation of the tender is feasible, and assisting to make human resource allocation for team formation in fixed project duration with labor skill and budget constraint. Within consideration of both the cost and the efficiency, the performance is maximized to verges on the customers’ expectations in software development project management on the basis of a real case. Before forming a team for a specific project with well-defined periods and numbers of people with different project roles, the values of key factors in the framework are calculated with individual foundation of computation. We formulate the decision process in integer programming models, and a simulation study is conducted to demonstrate the applicability of the proposed model to assist the decision making process of software companies for team formation. The results of four variants for maximum skill efficiency or minimum hiring cost are illustrated with different considerations of both key factors are included or not proposed in this paper, and demonstrate that these factors could bring out different sources to help companies in making further evaluations for allocating staff in a software development project.
Da sobrevivência à resiliência: práticas de gestão nas academias em período de crise pandêmica
Authors: Natália Cristina de Assis; Daniel Marangon Duffles Teixeira; V. M. Conceição
Year: 2024

The study deals with how fitness centers are coping with the COVID-19 pandemic. The aim was to investigate the management practices most used to deal with the pandemic crisis. To this end, a qualitative, descriptive study was carried out using a literature review (GERHARDT; SILVEIRA, 2009). Searches were carried out in the Scientific Electronic Library Online (SciELO) and in the journal ACAD, due to their outstanding relevance in the fitness field. The selection criteria were based on the relevance of the texts found, which were analyzed using the following criteria: a) central discussion relating gyms to the context of the pandemic crisis; b) content related to management in gyms; c) real contributions to the development of gym management. Bardin's (2011) content analysis was used to gain a deeper understanding of the data obtained. As a result, were found 2661 scientific articles. Of these, 24 were pre-selected, of which 14 participated in the discussion of this work. The findings suggested that academies were significantly impacted by the decrees that ordered their closure. The lack of preparation and infrastructure to deal with crises, as well as the excessive reliance on face-to-face activities and the lack of diversification of the services offered, contributed to the sector's vulnerability. It was clear that some gyms were unable to overcome the reduction in revenue and ended up closing down, while others invested in live or recorded classes and outdoor classes in order to keep customers engaged and generate revenue, overcoming the adversity. The management practices most present in this context were: strategic planning; safety, risk and hygiene management; financial management; crisis management; people management; human resources management; partnership management and digital marketing; project management and information technology; and innovation management. As final considerations, the study revealed the significant impact of the pandemic on Brazilian academies. In addition to the total closure phase, gyms were also affected by the public's negative perception of the risks of contamination in closed environments and with crowds. Those that managed to stay in business had to reorganize their spaces to ensure social distancing, implement hygiene and safety measures and look for innovative ways to generate revenue. The management practices identified not only enabled them to survive, but also showed the way to the gyms' resilience and ability to reinvent themselves.
Evaluation of Qualities of Demolished Debris used as Substitutes of Aggregate in Construction Projects Management in Nigeria
Year: 2025

Experts and stakeholders in the construction industry in
Nigeria are skeptical regarding reuse of debris as substitutes
at construction sites. This is largely due to scanty literature
to demystify the inherent properties of debris. This study
aims to evaluate the quality of demolished debris used as
substitutes of aggregates in construction sites. The study
adopted an experimental survey approach, in an attempt to
accurately determine the values of the metrics upon which
quality of debris and its justification for reuse and
substitution as aggregate is based. Samples of demolished
debris were collected, Furthermore, Statistical Package for
Social Sciences (SPSS, version. 21) was used to compute the
results obtained to aid in making inferences on the data. The
simple mean and percentages were obtained where
appropriate and Analysis of Variance (ANOVA) was used to
evaluate the significance difference in the means of water
absorption capacity, density and compressive strength
between the fine aggregate and the coarse aggregates
(denoted as J, A, K and S) as obtained from the four
different construction companies in River’s state. A total of
60 cubes measuring 150mm x 150mm x 150mm were cast
and cured for 7, 14, 21, and 28 days before being crushed.
Due to the presence of porous cement paste on the rocks,
recycled concrete waste aggregate absorb more water than
typical fresh granite. A significant difference exists in level
of water absorption and density between the natural concrete
cubes and the recycled aggregates at , except for
compressive strength of the concretes. The study therefore
recommends that, a well-prepared sample could be used in
the absence of natural concrete, but it is expected to
compulsorily meet the specified requirements.
Artificial Intelligence Project Success Factors: Moral Decision-Making with Algorithms
Authors: G. Miller
Year: 2021

The algorithms implemented through artificial intelligence (AI) and big data projects are used in life-anddeath situations. While research exists to address varying aspects of moral decision-making with algorithms, the definition of project success is not readily available. Nevertheless, researchers place the burden of responsibility for ethical decisions from AI systems on the system developers. Using a systematic literature review, this research identified 71 AI project success factors in 14 groups related to moral decision-making with algorithms. It contributes to project management literature, specifically for AI projects. Project managers and sponsors can use the results during project planning and execution.
An Interwoven Psychological Syndrome of Job Burnout and Work Engagement in Construction Project Management Professionals Due to Work–Family Imbalance
Authors: Xiaodong Li; R. Wang; Yizhu Zhao; Fan Yang; Xinyi Wang
Year: 2022

Most current studies on the mental health of construction project management professionals (CPMPs) are conducted from a negative psychological perspective, lacking a comprehensive understanding of the positive–negative interwoven mechanism. This study developed a positive–negative dual-process psychological model of CPMPs to explore the interwoven mechanisms among five variables: family-supportive supervisor behavior (FSSB), work–family conflict, work–family enrichment, job burnout, and work engagement. We conducted a large-scale questionnaire survey among Chinese CPMPs. A total of 656 questionnaires were returned; 446 were considered valid. The groups of CPMPs prone to occupational psychological problems were identified, which enhanced the targeted organizational management in the construction industry. The hypothetical model was verified with SEM. The results revealed that the effect of work–family enrichment was more significant than work–family conflict, which implies that the positive psychology process may play a more prominent role than the negative process. There was a significant correlation between FSSB and work–family conflict/ enrichment; but no direct correlation between FSSB and job burnout/work engagement. This implies that the improvement of the work–family relationship plays a full mediating role in improving CPMPs’ occupational psychological health. This research provides a thorough understanding of CPMPs’ interwoven occupational psychological problems and gives suggestions to enhance their occupational psychological health.