derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Project management communication 2.0 — The socio-technical design of PM for professional communicators
Authors: L. Berggreen; C. Kampf
Year: 2015

How can we understand project management communication practices for developing effective practices in professional and technical communication? In this article we explore an approach to project management that focuses on projects as having a technical documentation structure with content that is developed through social or interpersonal communication practices. Looking at the broader picture of project management which, besides the implementation phase, also includes conception, planning and closure, we see a project management framework that brings together both technical and social aspects of project communication. To understand how this works, we interviewed project managers about their understanding and strategy in communicating about the projects they lead. Findings demonstrate that more experienced project managers have a more nuanced understanding of project communication as both technical and social in nature. This correlation of experience to rhetorical understanding based on interpersonal communication invites the question of whether technical communication as a field is actually preparing students not only to participate in projects as technical and professional communicators, but also to have a head start on the path to becoming an effective project manager.
Construction Project Cost Prediction Method Based on Improved BiLSTM
Authors: Chaoxue Wang; Jiale Qiao
Year: 2024

In construction project management, accurate cost forecasting is critical for ensuring informed decision making. In this article, a construction cost prediction method based on an improved bidirectional long- and short-term memory (BiLSTM) network is proposed to address the high interactivity among construction cost data and difficulty in feature extraction. Firstly, the correlation between cost-influencing factors and the unilateral cost is calculated via grey correlation analysis to select the characteristic index. Secondly, a BiLSTM network is used to capture the temporal interactions in the cost data at a deep level, and the hybrid attention mechanism is incorporated to enhance the model’s feature extraction capability to comprehensively capture the interactions among the features in the cost data. Finally, a hyperparameter optimisation method based on the improved particle swarm optimisation algorithm is proposed using the prediction accuracy as the fitness function of the algorithm. The MAE, RMSE, MPE, MAPE, and coefficient of determination of the simulated prediction results of the proposed method on the dataset are 7.487, 8.936, 0.236, 0.393, and 0.996%, respectively, where MPE is a positive coefficient. This avoids the serious consequences of underestimating the cost. Compared with the unimproved BiLSTM, the MAE, RMSE, and MAPE are reduced by 15.271, 18.193, and 0.784%, respectively, which reflects the superiority and effectiveness of the method and can provide technical support for project cost estimation in the construction field.
Towards an Understanding of Why and How ICT Projects Are Initiated: Analysis via Repertory Grid
Authors: Htike Htike Wut Yi; Stephen G. MacDonell
Year: 2021

Contemporary business innovation relies increasingly on information and communications technology (ICT) solutions. As ICT initiatives are generally implemented via projects the management of ICT projects has come under increasing scrutiny. ICT projects continue to fail; as a result, while research in ICT project management has indeed increased, many challenges for research and practice remain. Many studies have addressed the execution and management of ICT projects and the many factors that might relate to project outcomes. Very few, however, have considered ICT project initiation and the crucial decisions made at that very early, pre-life cycle stage. The primary intent of this research is therefore to investigate ICT projects with a particular focus on their initiation. In doing so we wished to understand why ICT projects are started, and how they are moved from idea or proposal to supported reality. A combination of semi-structured interviews and the repertory grid data collection and analysis method was employed to investigate and validate the motivating factors that influence individual IT Managers’ project initiation decisions and the methods they use to transition from idea to enacted project. Eighteen participants representing six medium-sized organizations were interviewed. A total of forty-nine recent ICT projects were identified and considered by these eighteen managers. A rich data set was collected and in-depth analysis was conducted. The results showed that there are indeed multiple underlying reasons for the decisions made at this early stage and that there are some especially common decision drivers. Some were expected, in the sense that they mapped to recommended best practice. For instance, most projects are motivated by a desire to achieve efficiencies or cost savings, and their potential tends to be assessed using cost benefit analysis. Other results were more surprising – competitor pressure was not a common driver for ICT project initiation in our analysis. Unsurprisingly, formal evaluation methods are 1 Corresponding author more frequently used to assess project proposals when those projects are larger and higher profile.
Effects of knowledge, experience and coordinationon cost certainty for structural engineering designs of high-rise building projectsin Nairobi, Kenya
Year: 2023

Clients are increasingly demanding a high degree of cost certainty from their project design teams to ensure that their building projects are completed within the budgeted resources. However, this objective has been negated by various challenges that unfortunately cause budget overruns. This study investigated the effects of experience and project management skills on Change Orders for Structural Engineering High-Rise Buildings in Nairobi County, Kenya. Data was collected from 150 consulting Civil Engineers drawn from the Engineers Board of Kenya register using a web-based structured questionnaire. Analysis of variance and Chi-square tests showed that coordination and experience directly correlated to cost certainty at 5% confidence level. Design coordination significantly helped to narrow gaps for cost certainty as well enhancing better understanding of the project scope. The level of professional experience was found to be critical for problem solving, effective use of design software, quality control of design and documentation and integration. Therefore, professional experience and coordination played a critical role in the reduction of cost overruns during the construction of high-rise buildings in Nairobi.
A Case Study for Software Quality Evaluation Based on SCT Model With BP Neural Network
Authors: Ben Yan; Hua-Ping Yao; Masahide Nakamura; Zhi-Feng Li; Dong Wang
Year: 2020

With the increasing for function, scale, hierarchy and complexity of software project, the software life cycle and development stage show a trend of cross-cutting and fuzzy boundary. The non-technical factors, such as poor management and control during the implementation of software projects, are the major reason for causing the low success rate of software projects recently. Therefore, the software quality evaluation under complex environment should take the cross-influence between different stages of software life cycle and different quality evaluation standards into consideration. Our research is to construct a new software quality evaluation model by using the influence relationship and the influence intensity index between project management domain and project quality evaluation criteria including scope, cost, and time. First, we came up with the definition of software project management domain in the process of software project development and management. Second, we proposed a mathematical method for extracting the direct or indirect influence relation between them, and give a definition for the quantitative evaluation index and its calculation formula. At last we proposed to construct a neural network training model which includes evaluation model logic relationships and software quality quantitative evaluation index. Through study and training by simulated software project management data, we can discover some key data, such as normal threshold range of influence, factor weights, etc. Therefore, a complete evaluation system is built, and the scientific nature and accuracy of the proposal evaluation system will be improved.
Presenting data for team-based decision-making in agile information systems projects
Authors: Kieran Conboy; Thomas Acton; R. Halonen
Year: 2009

Although there are a number of purported benefits of agile systems development methods over traditional forms, many in the Information Systems Development (ISD) community highlight the difficulties that the dynamic, turbulent nature of agile development environments may present. One prominent difference compared to traditional ISD projects is the emphasised presence of the customer in decision-making. Specifically, project management and decision-making can be significantly more challenging than in projects involving traditional development approaches. This paper describes a research-in-progress, that focuses on decision-making in agile projects, and aims to develop a better understanding of how agile teams present dynamic data to decision makers who may act “on the fly”, and in so doing lead to effective, high quality decision-making in agile environments. The goal of the paper with its three case studies is to develop a set of best practices for representing decision-making data in agile ISD projects.
Value-Based Healthcare Project Implementation in a Hierarchical Tertiary Hospital: Lessons Learned
Authors: C. Varela-Rodríguez; A. García-Casanovas; Blanca Baselga-Penalva; P. Ruiz-López
Year: 2022

An important innovation in healthcare is the value-based healthcare (VBHC) framework, a way to solve health services' sustainability problems and ensure continuous improvement of healthcare quality. The Quality and Safety Unit at the Hospital Universitario 12 de Octubre has been since May 2018 coordinating the implementation of several healthcare innovation projects within the paradigm of VBHC. Implementing innovations in a complex institution, such as a tertiary hospital, is a challenge; we present here the lessons learned in the last 4 years of work. We detail exclusively the aspects related to continuous improvement and value addition to the process. In summary, for any VBHC project implementation, we found that there are five main issues: (1) adequate data quality; (2) development of data recording and visualization tools; (3) minimizing healthcare professional's effort to record data; (4) centralize governance, coordination, and transparency policies; (5) managerial's implication and follow-up. We described six steps key to ensure a successful implementation which are the following: testing the feasibility and complexities of the entry process; establishing leadership and coordination of the project; developing patient-reported outcomes and experience measurements; developing and adapting the data recording and data analysis tools; piloting in one or more medical conditions and evaluating the results and project management. The implementation duration can vary depending on the complexity of the Medical Condition Clinical Process and Patient Pathways. However, we estimate that the implementing phase will last a minimum of 18 and a maximum of 24 months. During this period, the institution should be capable of designing and implementing the proposed innovations. The implementation costs vary as well depending on the complexity, ranging from 90,000 euros to 250,000 euros. Implementation problems included the resistance to change of institutions and professionals. To date, there are few successful, published implementations of value-based healthcare. Our quality of care and patient safety methodological approach to the implementation has provided a particular advantage.
Causes and Mitigation Schemes of Project Delays among Selected Construction Companies in Cebu City
Authors: Roselyn D. Dela Cruz; M. Polinar
Year: 2023

A project's completion is crucial because it shows that goals and objectives have been met, guarantees client happiness, upholds a project's good reputation, and creates new prospects for those working in the construction business. However, in the field, construction projects need help with their timely execution and successful execution due to project delays, which can also affect costs, schedules, and stakeholder satisfaction. Hence, this phenomenological study explores the lived experiences of the project engineers who have existing projects on what are the perceived factors that cause project delays. On top of that, the study forms a series of recommendations to mitigate the identified causes of project delays. Eight (8) key informants were chosen using purposive sampling to be interviewed individually. In using Colaizzi's approach, eight themes materialized in the study: (1) Poor Management, (2) Limited Manpower, (3) Unskilled Workers, (4) Unforeseen Circumstances, (5) Poor Communication, (6) Financial Capabilities, (7) Insufficient Resources, and (8) External Factors. Ultimately, the authors concluded the need for solid project management practices, proactive risk reduction, and efficient communication to reduce delays and guarantee good project outcomes. Also, the authors concluded that if the entities appropriately and situationally consider these mechanisms recommended in the study, they will result in more precise and targeted responses to project delay issues, leading to service excellence and customer satisfaction.
Exploring Research in Project Management: Nine Schools of Project Management Research (Part 4)
Authors: C. Bredillet
Year: 2008

This “Letter From the Editor” is the fourth part of a series where I am presenting the results of a research undertaken with my colleagues J. Rodney Turner1 and Frank T. Anbari2 in order to map the research conducted in the field of project management, and its main characteristics. I outline here the “governance,” the “behavior,” and the “success” schools of thought and review progress, trends, and potential research connected with them. I will continue to introduce the different schools of thought we discovered and their characteristics in future editions.
Total Cost Control in Project Management via Satisficing
Authors: Joel Goh; Nicholas G. Hall
Year: 2013

We consider projects with uncertain activity times and the possibility of expediting, or crashing, them. Activity times come from a partially specified distribution within a family of distributions. This family is described by one or more of the following details about the uncertainties: support, mean, and covariance. We allow correlation between past and future activity time performance across activities. Our objective considers total completion time penalty plus crashing and overhead costs. We develop a robust optimization model that uses a conditional value-at-risk satisficing measure. We develop linear and piecewise-linear decision rules for activity start time and crashing decisions. These rules are designed to perform robustly against all possible scenarios of activity time uncertainty, when implemented in either static or rolling horizon mode. We compare our procedures against the previously available Program Evaluation and Review Technique and Monte Carlo simulation procedures. Our computational studies show that, relative to previous approaches, our crashing policies provide both a higher level of performance, i.e., higher success rates and lower budget overruns, and substantial robustness to activity time distributions. The relative advantages and information requirements of the static and rolling horizon implementations are discussed. This paper was accepted by Dimitris Bertsimas, optimization.
An agent-based model of interdisciplinary interactions in science
Authors: J. Raimbault
Year: 2020

An increased interdisciplinarity in science projects has been highlighted as crucial to tackle complex real-world challenges, but also as beneficial for the development of disciplines themselves. This paper introduces a parcimonious agent-based model of interdisciplinary relationships in collective entreprises of knowledge discovery, to investigate the impact of scientist-level decisions and preferences on global interdisciplinarity patterns. Under the assumption of simple rules for individual researcher project management, such as trade-offs between invested time overhead and knowledge benefit, model simulations show that individual choices influence the distribution of compromise points between emergent level of disciplinary depth and interdisciplinarity in a non-linear way. Different structures for collaboration networks may also yield various outcomes in terms of global interdisciplinarity. We conclude that independently of the research field, the organization of research, and more particularly the local balancing between vertical and horizontal research, already influences the final positioning of research results and the extent of the knowledge front. This suggests direct applications to research policies with a bottom-up leverage on the interactions between disciplines.
Impact of Software Complexity on Development Productivity
Authors: Jizhou Zhan; Xianzhong Zhou; Jiabao Zhao
Year: 2012

With increasing demands on software functions, software systems become more and more complex. This complexity is one of the most pervasive factors affecting software development productivity. Assessing the impact of software complexity on development productivity helps to provide effective strategies for development process and project management. Previous research literatures have suggested that development productivity declines exponentially with software complexity. Borrowing insights from cognitive learning psychology and behavior theory, the relationship between software complexity and development productivity was reexamined in this paper. This research identified that the relationship partially showed a U-shaped as well as an inverted U-shaped curvilinear tendency. Furthermore, the range of complexity level that is beneficial for productivity has been presented, in which, the lower bound denotes the minimum degree of complexity at which personnel can be motivated, while the upper bound shows the maximum extent of complexity that staff can endure. Based on our findings, some guidelines for improving personnel management of software industry have also been given.
e-Waste Management Awareness Program in Solomon Island: A Project Risk Management Framework
Authors: Shamsuddin Ahmed
Year: 2019

Worldwide electronic waste items have grown as product life has become shorter. The electronic products are e-waste and end up in rubbish dumps and recycling centers, posing a threat to the environment. The e-waste disposal methods adopted by Pacific island countries (PICs) are inadequate. The Solomon Island (SI) is one of the PICs and does not have a sustainable solution. The purpose of this article is to develop a framework for sustainable e-waste management campaign based on a project management framework incorporating stakeholder, risk, time, and public awareness and people management. A macro project management risk model is constructed to implement an e-waste awareness education program and assist PICs policy makers to successfully launch e-waste management program. It is shown in this work how an e-waste project management awareness program can work for SI. The important factors to be controlled for successful e-awareness program are identified with a project risk management framework. The impact, failure, and consequences of the e-waste awareness campaign are quantified. This article also provides a review of the e-waste awareness in Pacific island countries and puts forward a pan to mitigate the e-waste problem in IS. The e‐wastes in SI are unwanted electronic equipment and electrical appliances which reached its end of life and does not function as it was planned. The toxic elements within e-waste contaminate the water, land, and air. The SI does not have enough resources and technical capacity to recycle e-waste. Appropriate management and disposal of e‐waste is essential as the long-standing shield for the protection of SI and regional PICs environments. The aim is to maintain long‐term regional sustainability. The adoption of national e‐waste management policies will safeguard the movement recycling and disposal of e‐waste in a controlled manner through the Basel and Waigani convention protocols. The study designs a new paradigm for solving e-waste management issues is PICs using a project management approach, focusing on risk management, risk impact, organizational design with communication plan, and human interaction.
Programming Models for Determining Optimal R&D Arrangement in Mobile Application Development Process
Authors: Yuan Liu; Chen Mei; Jingjing Hao
Year: 2022

The R&D (Research & Development) process of mobile application can be regarded as a complex system engineering that needs to take into account a variety of influencing elements, such as customer’s demands, engineering measures and business goals etc., as well as their interplay. A novel decision support platform is proposed to assist project managers in determining the optimal technical measures with implementation degrees and resource allocation scheme. Specially, the HDQ (House of Development Quality) is designed to collect essential data and information as well as reflect correlations among elements, which can effectively connect isolated information islands. Through the transform of HDQ, a multi-objective programming model is constructed to meet customers’ overall demands and specific requirements. A combination of specified technical measures and resource allocation can be obtained under ideal conditions. Additionally, the extended model considering resource substitution is designed to realize further improvement by effectively utilizing the surplus resource in the above optimal condition, demonstrating the advantage of proper managerial arrangement and resource deployment. Finally, the R&D case of family financial management application is conducted to illustrate the effectiveness of the suggested method, which offers a new perspective on mobile application R&D project management.
Analysis and thinking of failed Japanese ITO cases in China
Authors: Yongqiang Chen; Huansong Yang; Libin Hong
Year: 2012

With the quick expansion of Japanese services' outsourcing, 65% of Japanese ITO projects are outsourced to China, among which, ITO projects account for a big share. Based on a failed case of Japan's ITO project, this paper makes an analysis on plans of project management, project tasks and human resources management. The purpose of this paper is to find out the frustrated reasons and improve outsourcing services. Hence, people are able to draw lessons from certain experiences to improve the success rate of Japan's ITO services in China.