derhan/semantic-scholar-manajemen-proyek huggingface dataset:
ADVANCING PERFORMANCE MANAGEMENT AND IMPACT ON EMPLOYEE PERFORMANCE – A COMPREHENSIVE REVIEW AND FUTURE DIRECTIONS
Authors: Saritha Perumalla; Y. S. Murthy
Year: 2024

This in-depth review goes deep into the ever-changing world of performance management, looking at the shifting trends, common problems, and huge effects on employee performance. The study looks at how performance management methods work in a variety of business settings, from small local businesses to large Maharatna companies. By looking at how well these methods work, the study hopes to find the best ways to do things and show where they can be improved. This study focuses on the manufacturing industry, which is an important part of the world economy. It looks at how well performance management systems work in this area. The study takes a detailed look at different project management situations and shows how tailored methods can help by taking into account the special challenges and chances that come with each one. As the review goes on, the focus changes to how important performance management activities are for improving employees skills and abilities. The connection between engagement and performance management is the main focus, showing how the two can work together to help employees learn new skills and grow as a whole. This in-depth study lays the groundwork for future research and shows companies how to improve their performance management methods to keep up with the changing needs of workers and the business world as a whole.
KEYWORDS: Performance Management, Employee Performance, Trends, Employee Engagement, Future Directions.
Multi-agent system of IT project planning
Authors: O. Dunets; Carsten Wolff; A. Sachenko; Grygoriy Hladiy; I. Dobrotvor
Year: 2017

The authors propose the agent-oriented approach for solving problems of IT project planning. The tasks hierarchy of a management planning system in IT projects is formed. Both the use case and context diagram of processes in project management planning are built. The simulation model of the multi-agent system on AnyLogic base is studied.
Becoming an information architect: The evolving librarian's skillset, mindset, and professional identity
Authors: Virginia M. Tucker
Year: 2021

Learning the essential concepts and skills of information architecture (IA) has the potential to not only significantly extend the abilities of practicing library and information science (LIS) professionals, but also to evolve their professional identities and envisioned career opportunities. An online course on IA was designed around: the principles of threshold concepts, practical knowledge for the workplace, and professional ‘soft’ skills, such as collaboration and basic project management. The primary objective for the course was creating experiences for students in which they could discover and engage with critical concepts in IA and to collaborate with their peers to design content-rich and user-centred websites. The learning experiences of two sections of the course (n= 32) were studied, through questionnaires and reflective writings, and analysed thematically. The outcome was that, in learning information architecture concepts, and acquiring and applying the concepts and tools to do information architecture work, the students did more than acquire new professional skillsets; they also evolved in their professional identities.
Big data analytics in the AEC industry: scientometric review and synthesis of research activities
Authors: E. Ohene; Gabriel Nani; M. Antwi-Afari; A. Darko; Lydia Agyapomaa Addai; Edem Horvey
Year: 2024

PurposeUnlocking the potential of Big Data Analytics (BDA) has proven to be a transformative factor for the Architecture, Engineering and Construction (AEC) industry. This has prompted researchers to focus attention on BDA in the AEC industry (BDA-in-AECI) in recent years, leading to a proliferation of relevant research. However, an in-depth exploration of the literature on BDA-in-AECI remains scarce. As a result, this study seeks to systematically explore the state-of-the-art review on BDA-in-AECI and identify research trends and gaps in knowledge to guide future research.Design/methodology/approachThis state-of-the-art review was conducted using a mixed-method systematic review. Relevant publications were retrieved from Scopus and then subjected to inclusion and exclusion criteria. A quantitative bibliometric analysis was conducted using VOSviewer software and Gephi to reveal the status quo of research in the domain. A further qualitative analysis was performed on carefully screened articles. Based on this mixed-method systematic review, knowledge gaps were identified and future research agendas of BDA-in-AECI were proposed.FindingsThe results show that BDA has been adopted to support AEC decision-making, safety and risk assessment, structural health monitoring, damage detection, waste management, project management and facilities management. BDA also plays a major role in achieving construction 4.0 and Industry 4.0. The study further revealed that data mining, cloud computing, predictive analytics, machine learning and artificial intelligence methods, such as deep learning, natural language processing and computer vision, are the key methods used for BDA-in-AECI. Moreover, several data acquisition platforms and technologies were identified, including building information modeling, Internet of Things (IoT), social networking and blockchain. Further studies are needed to examine the synergies between BDA and AI, BDA and Digital twin and BDA and blockchain in the AEC industry.Originality/valueThe study contributes to the BDA-in-AECI body of knowledge by providing a comprehensive scope of understanding and revealing areas for future research directions beneficial to the stakeholders in the AEC industry.
Power plant construction project safety management evaluation with fuzzy neural network model
Authors: D. Niu; Yongli Wang; Xiaoyong Ma
Year: 2008

Safety management is one of the main components of project management. Regarding to power plant construction, safety management evaluation is useful for the construction unit to find the potential hazard source, do practical precautions and generalize lessons for the future. The purpose of this paper is to establish an evaluation model for safety management evaluation. In this paper, the method of principle component analysis were used to deal with the original indexes, it selects the factors which are important for power plant construction evaluation through the method to pre-process all the influenced factors. Based on the pre-processed method, the fuzzy neural network was adopted to establish an evaluation model and classify the evaluation result. This was a new thought for the fuzzy neural network to be used in safety management evaluation for power plant construction project.
Project Management for Farm Production
Authors: A. Fuentes-Penna; J. Ruiz-Vanoye; O. Díaz-Parra
Year: 2017

This paper aims at being a guide to understand the Farm Production Management (FPM) implementing a new paradigm based on CPLEX method with Project Scheduling Problem (PSP) as an integration of Artificial Intelligence with Project Management. In this proposal we design a mathematical model to represent FPM and the objective function oriented to minimize the resources. In this paper we propose the simulation with random data where the parameters are classified as: crop, land, labor, and water. The declared variables are Amount Planted, Permanent Labor Hired, Temporary Labor Hired, Sales and Fraction Consumed. Restrictions: Land limitations, Labor requirements, Water Requirements and Family Consumptions.
Agile Adoption Story from NHN
Authors: Eunha Kim; Seokmoon Ryoo
Year: 2012

NHN has moved two hundred teams (including more than three thousand software developers, testers, designers, team leaders, project managers and project facilitators) from waterfall development to agile development for the last three years. We have focused on creating self-organizing teams, debt-free iterative development, transparency and automation. It took us about three years of incremental improvements to get to where we are now, and we are continuously trying to improve our organization. This paper will show you how to get started on your transition to agile development, with tips on how to move your team from waterfall to agile, insights into the benefits of agile as well as problems and issues you may experience. We will also cover agile project management, agile development tools, requirements in agile, and agile testing methods.
Critical Success Factors for Agile Software Development
Authors: A. C. P. Júnior; Vinicius Romeiro da Silva; Plinio Thomaz Aquino Junior
Year: 2024

Agile project management has gained substantial popularity in the IT sector over the years, particularly among software development organizations. The attainment of success in these endeavors hinges on various factors known as “critical success factors” (CSFs), a subject frequently explored in academia. Nonetheless, there is no consensus regarding their impact on agile software development. To address this gap, in this article, we aim to recognize and analyze CSFs in software development projects executed using agile methodologies. The study identifies 25 CSFs categorized into five categories based on the recent literature findings. A structured survey with seven-point Likert scale questionnaires is conducted among agile software development professionals, resulting in 121 valid responses. These responses are analyzed using structural equation modeling. The findings highlight that all constructs formed within the CSFs significantly contribute to the success of agile software development projects. Moreover, the study reveals that the positive effects of these CSFs on success follow a descending order: Project factors, people factors, organizational factors, process factors, and cultural factors. Intriguingly, when these CSFs are considered as a second-order construct, their impact is even more pronounced, suggesting a synergistic relationship among these elements. This research addresses a crucial scientific aspect in project management literature and also introduces a novel yet theoretically grounded model. The study demonstrates strong validity, reliability, and explanatory capabilities (56.1%) concerning the phenomenon. Additionally, it contributes to the discussion on CSFs by pinpointing statistically significant factors and gauging their individual and collective influence on the success of agile software development projects.
The Role of Leadership Styles in Project Management: Systematic Literature Review
Authors: Hamayoon Ghafory; Faqeed Ahmad Sahnosh
Year: 2024

This article examines the role of leadership styles in project management through a systematic literature review and focuses on three main leadership styles, i.e., transformational, transactional, and servant leadership. Leadership is one of the critical factors that have a direct impact on project outcomes, team dynamics, and stakeholder satisfaction. The bottom line is that choosing the right leadership style directly impacts the success or failure of projects, team dynamics, and stakeholder satisfaction. Transformational leadership is associated with greater project success, better team cohesion, and increased stakeholder satisfaction by inspiring and motivating teams to achieve a common goal. This research aims to identify the effects of these leadership styles in different project environments and determine the conditions in which each style has the most significant advantage. Transactional leadership, which emphasizes structures, rewards, and punishments, is effective in environments where strict adherence to processes is required but may limit creativity. On the other hand, by prioritizing the growth and well-being of team members, servant leadership leads to increased creativity, cooperation, and improved team morale. The research method is a systematic review of existing articles and studies from reliable scientific sources to gain a deeper understanding of the impact of leadership styles on project management by analyzing their results. This study summarizes the various findings and evaluates the effects of these leadership styles in different project contexts. Finally, the importance of matching leadership styles to project needs is highlighted to improve performance, enhance team dynamics, and achieve successful outcomes.
Successful Global Development of a Large-scale Embedded Telecommunications Product
Authors: M. Leszak; Manfred Meier
Year: 2007

This paper describes a success story in large-scale global systems & software development. Carried out at several company locations and associated supplier sites, we describe how we manage and develop a complex embedded product in a global dynamic environment. Main acting locations are at Germany and China. Organizational key success factors include very experienced project management team, partnership-based collaboration in cross-functional teams across locations, and well-defined roles & responsibilities on all project levels. Sociological key factors include frequent cross-site visits on engineering and management level, cross-cultural trainings, and high process and quality focus of the whole project team. Technical key factors include feature-driven and timeboxing based iterative process, effective multi-site tools for configuration control, for change management, for joint asynchronous reviews, for software integration and release, and full traceability of all product changes. Evidence by some process measurements is provided supporting our view that our project is very successful.
An Introduction to Research for Primary Dental Care Clinicians
Authors: Trevor M Johnson; A. Santini
Year: 2012

INTRODUCTION
This paper, the eighth in the series, will address the ninth stage of a research project suggested in the first paper. The ten suggested stages are: 1. The initial idea (asking a research question). 2. Searching the literature. 3. Refining the research question. 4. Planning the study. 5. Writing a protocol. 6. Obtaining ethics approval and funding. 7. Piloting the project and project management. 8. Collecting data. 9. Analysing the data. 10. Writing up and disseminating the results. The previous paper outlined how to collect data during a research project. The next stage is to analyse the data that have been collected. This paper briefly introduces readers to data analysis and basic statistics. It updates the Faculty of General Dental Practice (UK) research advice sheets: Introduction to Statistics, Statistics for Research, Testing for Statistical Significance.
ASSOCIATIVE MODEL OF COMPETENCIES IN IT PROJECT MANAGEMENT
Authors: Milana M. Namaeva; O. Y. Yanova; Karina M. Centaeva
Year: 2024

In the world of management, the competency-based approach is becoming increasingly widespread, which is based on the recognition of the important role of the human factor in any modern business processes. The quality and effectiveness of practical tasks and the results obtained depend on the quality level of training of specialists and the compliance of their knowledge with the requirements of specific work. Despite the fact that the topic of competency-based management has been covered to a certain extent, a fairly wide range of issues remains uncertain. This concerns both the theoretical justification of the definitions of competencies, competencies, competency models, and the practical application of the competency-based approach to process management in a specific area, namely in project management. The specificity of the latter is associated with the influence of a rapidly changing environment and poor predictability of the implementation of the projects themselves and their results. In this regard, the set of required competencies and their content often change, which negatively affects the quality of project implementation, especially in the field of IT technologies.
Activity scheduling and resource allocation with uncertainties and learning in activities
Authors: F. Chan; Z. X. Wang; Yashveer Singh; Xuping Wang; Junhu Ruan; M. Tiwari
Year: 2019


Purpose
The purpose of this paper is to develop a model which schedules activities and allocates resources in a resource constrained project management problem. This paper also considers learning rate and uncertainties in the activity durations.


Design/methodology/approach
An activity schedule with requirements of different resource units is used to calculate the objectives: makespan and resource efficiency. A comparisons between non-dominated sorting genetic algorithm – II (NSGA-II) and non-dominated sorting genetic algorithm – III (NSGA-III) is done to calculate near optimal solutions. Buffers are introduced in the activity schedule to take uncertainty into account and learning rate is used to incorporate the learning effect.


Findings
The results show that NSGA-III gives better near optimal solutions than NSGA-II for multi-objective problem with different complexities of activity schedule.


Research limitations/implications
The paper does not considers activity sequencing with multiple activity relations (for instance partial overlapping among different activities) and dynamic events occurring in between or during activities.


Practical implications
The paper helps project managers in manufacturing industry to schedule the activities and allocate resources for a near-real world environment.


Originality/value
This paper takes into account both the learning rate and the uncertainties in the activity duration for a resource constrained project management problem. The uncertainty in both the individual durations of activities and the whole project duration time is taken into consideration. Genetic algorithms were used to solve the problem at hand.
Managing concurrent execution of multiple activities in product development process
Authors: Gyesik Oh; Y. Hong
Year: 2020

Many companies adopt concurrent engineering in their product-development projects in order to reduce time to market. Concurrent engineering requires careful management, since the uncertainty of transferred information leads to rework and renders a development process complex. Most of the existing studies on concurrent engineering have analyzed overlapping between two activities. The present study expanded the research scope by modeling the developmental process of the concurrent execution of multiple activities as the result of management decisions, the overlapping ratio, and the information transfer frequency. When multiple activities are overlapped, it is more difficult to model a development process, since the uncertainty of cascaded information has impacts on many activities. The quantitative model developed in the present study provides insights into the uncertainty of information and the product-development process. Based on the generalized process model for multiple-activity overlapping, the optimal decision to minimize project duration was considered. As a solution to the dilemma of the high computational burden of considering all feasible decision sets, this paper proposes a myopic heuristic. The project management heuristic proposed in this paper is intended to assist managers in the decision-making process, as well as reducing the intermediate deadlines in project main plan.
ProteomeCommons.org collaborative annotation and project management resource integrated with the Tranche repository.
Authors: James A. Hill; B. E. Smith; P. Papoulias; P. Andrews
Year: 2010

ProteomeCommons.org has implemented a resource that incorporates concepts of Web 2.0 social networking for collaborative annotation of data sets placed in the Tranche repository. The annotation tools are part of a project management resource that is effective for individual laboratories or large distributed groups. The creation of the resource was motivated by the need for a way to encourage annotation of data sets with high accuracy and compliance rates. The system is designed to respond to the dynamic nature of research in an easy-to-use fashion through the use of a dynamic data model that does not inhibit the innovation that is important for basic research. Placing the annotation tool within a project manager allows annotation to occur over the life of the project and provides the security and monitoring capabilities needed for large or small collaborative projects. The resource effectively supports distributed groups of investigators working on common data sets and is available immediately at https://ProteomeCommons.org . In addition, a silver compliant data resource based on ProteomeCommons.org has been developed for cancer Biomedical Informatics Grid (caBIG) to allow much broader access to the annotations describing data sets in the Tranche repository.
A Learning Management System for Tracking and Assessment of Online Team Projects
Authors: Hasan M. Jamil
Year: 2023

Online education platforms demand that reliable and measurable assessment and feedback generation systems be developed to ensure quality. In particular, classes requiring large software development projects need step-wise requirement specifications, verification and validation to affect proper assessment in phases. Such monitoring and assessment support is virtually non-existent in contemporary tutoring or learning management systems. In this paper, we propose a novel implementation of a team-based project management and assessment system for online database classes as an integral and vital component of a modern learning management system.
Технология управления проектами и проектными командами на основе методологии гибкого управления проектами
Authors: М.М. Баширова
Year: 2020

В статье представлены основные принципы Agile, основные характеристики методологии Аgile manifesto. Управление проектами включает в себя множество подходов и инструментов. Управление проектами происходит комплексно по этапам жизненного цикла проекта и фазам менеджмента. Области проектного управления включают финансовые, кадровые, структурные сферы деятельности организации. А для того, чтобы все эти сферы были широко и правильно охвачены, команде, работающей над проектом, необходимо правильно распределить свои обязанности, чему и способствует методология гибкого управления проектами Agile manifesto.
 The article presents the basic principles of Agile, the main characteristics of the Agile manifesto methodology. Project management includes many approaches and tools. Project management takes place comprehensively in the stages of the project life cycle and management phases. Areas of project management include financial, personnel, structural areas of the organization. And in order for all these areas to be widely and correctly covered, the project team needs to correctly distribute their responsibilities, which is facilitated by the Agile manifesto flexible project management methodology.