derhan/semantic-scholar-manajemen-proyek huggingface dataset:
Quality Versus Quantity: E-Mail-Centric Task Management and Its Relation With Overload
Authors: V. Bellotti; Nicolas Ducheneaut; Mark Howard; Ian E. Smith; Rebecca E. Grinter
Year: 2005

It is widely acknowledged that many professionals suffer from "e-mail overload." This article presents findings from in-depth fieldwork that examined this phenomenon, uncovering six key challenges of task management in e-mail. Analysis of qualitative and quantitative data suggests that it is not simply the quantity but also the collaborative quality of e-mail task and project management that causes this overload. We describe how e-mail becomes especially overwhelming when people use it for tasks that involve participation of others; tasks cannot be completed until a response is obtained and so they are interleaved. Interleaving means that the e-mail user must somehow simultaneously keep track of multiple incomplete tasks, often with the only reminder for each one being an e-mail message somewhere in the inbox or a folder. This and other insights from our fieldwork led us to a new design philosophy for e-mail in which resources for task and project management are embedded directly within an e-mail client as opposed to being added on as separate components of the application. A client, TaskMaster, embodying these ideas, was developed and tested by users in managing their real e-mail over an extended period. The design of the client and results of its evaluation are also reported.
Exploring Cultural Influences on Project Management Approaches in Global Business Development
Year: 2023

The aim of the research is to investigate project management approaches which can be applied in culturally diverse teams effectively. The research objectives include the study of culture influences on project management in the organization, identification of project management approaches that are applied in the context of cultural diversity, to outline the most effective project management approaches when multinational projects are initiated, planned, organized, and monitored. Within the framework of our research, we studied a number of scientific sources that revealed the problems of project management approaches in culturally diverse teams and selected about 50 articles in internationally indexed journal that were published during the recent five years to answer the research questions. During the research we used mixed methodology that included qualitative and quantitative methods. The research was conducted in three stages between March and December, 2022 and included 27 experts from 14 different companies that are involved in multicultural projects. The results showed that there are 11 project management approaches in global business development that are applied in the context of cultural diversity and are oriented towards maximize cultural differences within the team. They include cultural awareness assessment, customized communication, cultural liaison, adaptive leadership styles, inclusive decision-making, cross-cultural training, team building, use of feedback, conflict resolution, recognizing cultural differences, implementation of diverse projects. Implementation of these approaches makes project management creative, inclusive and culturally sensitive. Project management in a culturally diverse team is introduced in three grades: elementary, middle, and advanced. The grades constitute competency framework for project managers that are to implement multicultural projects and organize team members who belong to different cultures effectively. The findings can be used for formation of effective culturally diverse teams and management of teams where the members differ in beliefs, behaviours, languages, practices, background, and experiences.
Generative AI Applications in Architecture, Engineering, and Construction: Trends, Implications for Practice, Education & Imperatives for Upskilling—A Review
Authors: D. Onatayo; A. Onososen; A. Oyediran; Hafiz Oyediran; V. Arowoiya; Eniola Onatayo
Year: 2024

This study investigates the current landscape of generative AI and LLM applications in architecture, engineering, and construction (AEC), focusing on trends, practical implications, educational strategies, and imperatives for upskilling. Employing a six-stage systematic review sourced from Google Scholar, Scopus and Web of Science, 120 papers were analyzed to provide a comprehensive understanding of the role of these technologies in shaping the future of the AEC industry. By addressing these objectives, the research contributes to enhancing knowledge about the potential impacts of generative AI and LLMs on the AEC industry and provides insights into strategies for leveraging these technologies effectively. This study underscores the transformative impact of AI and advanced technologies on the AEC sector and education. By enhancing learning experiences and optimizing construction processes, AI fosters personalized education and efficient project management. The study’s significance lies in its identification of necessary skills and competencies for professionals, ensuring effective AI integration. Implications include the need for continuous professional development, formal education, and practical training to leverage AI’s potential fully. This paves the way for sustainable, intelligent infrastructure and accessible, adaptive learning environments, driving innovation and efficiency in both fields.
A Critical Hermeneutics Analysis of SME ERP Implementation Project Management Practices
Authors: Hessam Saghafi; W. Wang
Year: 2017

Numerous Critical Success Factors (CSFs) have been identified in Enterprise Resource Planning (ERP) projects. Project Management is one of the few CSFs that appear in both large and small business ERP implementation studies. Few studies further investigate project management processes in ERP implementation project in Small and Medium Enterprise (SME) context. Professional bodies like Project Management Institute (PMI) have developed an extensive list of processes at various stages of projects, however, it is not clear whether all recommended processes apply in an SME ERP implementation project. This warrants further investigations to understand how project management processes and activities in various project management knowledge areas would contribute to ERP implementation success in SMEs. Critical hermeneutics will be used for interpreting the text and making sense of the prevalent contradictory views of various stakeholder groups in SME ERP implementation projects around implementation success, best-fit project management lifecycle approach, and project management practices.
Research on quality engineering management effectiveness improvement strategy of universities based on fuzzy clustering maximum tree algorithm
Authors: Lei Zhang; Yin Dong; Na Yao
Year: 2023

Abstract The “quality project” is an objective need to promote the comprehensive and coordinated development of higher education and cultivate high-quality talents. Based on the fuzzy clustering maximum tree algorithm, this paper first generates the maximum tree for a similar matrix and then clusters the maximum tree to find the clustering results. Then the idea of fuzzy clustering maximum tree algorithm is introduced into the management of “quality engineering” in Heilongjiang province colleges and universities, and the necessity of project management in the management of “quality engineering” in colleges and universities is analyzed, so that the knowledge related to project management can be applied in the construction of “quality engineering” in colleges and universities. “The results show that project quality management has a lot of advantages and disadvantages. The results show that there are problems such as weak awareness of quality management among all staff, unclear construction objectives and quality construction standards, and a lack of effective project monitoring and evaluation mechanism in project quality management. During the experimental period, the groundwater level was 0.4~0.7m below the surface, and the global risk level decreased from 5 to 3 along with the deep excavation of the foundation pit, and the risk probability of the foundation pit project became larger with time and finally stabilized at 60%. The research of this paper is helpful to improve the project management level of “quality engineering” in universities and promote the transformation of “quality engineering” results, which has certain practicality and guidance.
Some things never change: how far generative AI can really change software engineering practice
Authors: Aline de Campos; Jorge Melegati; Nicolas Nascimento; R. Chanin; Afonso Sales; Igor Wiese
Year: 2024

Generative Artificial Intelligence (GenAI) has become an emerging technology with the availability of several tools that could impact Software Engineering (SE) activities. As any other disruptive technology, GenAI led to the speculation that its full potential can deeply change SE. However, an overfocus on improving activities for which GenAI is more suitable could negligent other relevant areas of the process. In this paper, we aim to explore which SE activities are not expected to be profoundly changed by GenAI. To achieve this goal, we performed a survey with SE practitioners to identify their expectations regarding GenAI in SE, including impacts, challenges, ethical issues, and aspects they do not expect to change. We compared our results with previous roadmaps proposed in SE literature. Our results show that although practitioners expect an increase in productivity, coding, and process quality, they envision that some aspects will not change, such as the need for human expertise, creativity, and project management. Our results point to SE areas for which GenAI is probably not so useful, and future research could tackle them to improve SE practice.
Creation of an English for special purposes textbook for university students – future public relations practitioners
Authors: A. Tychinsky
Year: 2023

The purpose of the study is to present the author’s experience in creating the ESP textbook “Public Relations. Textbook in English”. The academic novelty of the paper lies in the fact that for the first time the process of creating an ESP textbook for third-year students of an international university (MGIMO-University, Russia) who study English at an advanced level is considered in detail. The paper looked at all stages of writing an English for Special Purposes (ESP) textbook, i.e. book concept development, overall project management, format selection and standardization.As a result, the necessity of using methodological approaches to writing a textbook that could help students develop the competencies of future public relations specialists, as well as enable them to succeed in their careers at the international level, was proved. In addition, examples of language exercises are provided that can be used to develop basic linguistic skills, as well as specific competencies related to the future profession of public relations specialists.course of German-language media on the cognitive consciousness of the audience is argued.
Role of Engineering Project Management in Successful Project Completion Globally
Authors: Priya Anjani Prabhakar
Year: 2024

In the globalization era, the radical progress in technical and digital system are causing rapid progress of public and private organizations as well as the structural complexity of managing projects in the engineering field. The present study focuses to review the role of engineering project management skills in managing a project for successful completion. Various literature related to the study topic has been reviewed systematically. The various factors responsible for successful completion of a project are framed as a model which would be useful for the engineers as well as other project managers or leaders as well as other stakeholders for understanding the systematic way of project management practices with the aim to successfully complete a project. The model highlighted the top three factors were project planning with stakeholders, time, budget and quality and leadership style and practices.
The Application of Machine Learning Techniques in Software Project Management- An Examination
Authors: M. Pasupuleti
Year: 2018

Planning and evaluating project management are key parts of project performance that should not be overlooked. It is difficult to succeed at project management unless you have a realistic and logical plan in place. This paper provides a comprehensive overview of papers on the application of machine learning in software project management, covering a wide range of topics. Apart from that, this study examines machine learning, software project management, and methodologies. Papers in the first category are the results of software project management studies or surveys. Papers in the third category are based on machine-learning methods and strategies applied to projects; studies on the phases and tests that are the parameters used in machine-learning management; and final classes of study results, contribution of studies to production, and promotion of machine-learning project prediction. Our work also provides a larger perspective and context, which could be useful for future project risk management research, among other things. To summarize, we have demonstrated that project risk assessment using machine learning is more effective in minimizing project losses, increasing the likelihood of project success, providing an alternative method for efficiently reducing project failure probabilities, increasing the output ratio for growth, and facilitating accuracy-based analysis of software fault prediction.
Improving analogy software effort estimation using fuzzy feature subset selection algorithm
Authors: Mohammad Azzeh; D. Neagu; P. Cowling
Year: 2008

One of the major problems with software project management is the difficulty to predict accurately the required effort for developing software applications. Analogy Software effort estimation appears well suited to model problems of this nature. The analogy approach may be viewed as a systematic development of the expert opinion through experience learning and exposure to analogue case studies. The accuracy of such model depends on characteristics of datasets. This paper examines the impact of feature subset selection algorithms on improving the accuracy of analogy software effort estimation model. We proposed a feature subset selection algorithm based on fuzzy logic for analogy software effort estimation models. Validation using two established datasets (ISBSG, Desharnais) shows that using fuzzy features subset selection algorithm in analogy software effort estimation contribute to significant results as other algorithms: Hill climbing, Forward subset selection, and backward subset selection do.
Management of R&D in OECD Countries: Experience in Results’ Monitoring
Authors: O. Bogacheva; O. Smorodinov
Year: 2023

The article deals with the issues related to the monitoring of R&D projects supported by the public funds. In accordance with the current legislation, monitoring of scientific, technical and innovation projects is carried out within the framework of the structural elements of state programs. To conduct monitoring, results, control points and objects of scientific and technical activities should be established. At the same time, however, within the framework of the three forms of financial support for the implementation of R&D projects – grant financing, subsidies for the implementation of public assignments, public procurement – different monitoring methods and procedures are applied. Further, the names of the control points are not linked to the results of projects in terms of technology readiness levels (TRL). Finally, information systems that support the monitoring and evaluation of R&D results are not fully compatible with each other. As a result, the overall effectiveness of monitoring decreases, which leads to delays in making managerial decisions and entails wasteful spending of budget funds. In the leading OECD countries, there is a practice of centralized methodological support of the implementation of R&D and innovation, which provides an unified approach to management of such projects and conjugation of state support at all stages of innovation cycle. Successful project management involves application of such specific management tools as the stage gates model and TRL methodology, which provide effective monitoring of results and flexibility in making management decisions, including the possibility of adjusting the basic parameters of projects at different stages of their implementation. The experience of foreign countries shows that in order to improve the quality and effectiveness of monitoring of R&D projects in Russia, it is necessary to ensure the harmonization of general and sectoral legislation governing the monitoring of the results of research, development and innovation projects, which will ensure the formation of a unified approach within the framework of project management of state programs. It is advisable to extend the rules for monitoring the results of R&D adopted in the system of grant financial support to the systems of public assignment and public procurement in this area of activity, creating conditions for the conjugation of various forms of public support. Finally, it is necessary to improve operation of the existing state information resources for the management of scientific, technical and innovation projects.
Using Design Briefs to Empirically Replicate and Extend the ‘Designence’ Model of Strategic Design Value
Authors: Ian D. Parkman
Year: 2023

Despite increasing attention from academics and practitioners Design Management lacks a widely-agreed upon empirical measure. This paper proposes a new conceptualization of Design Management based on the view of design as a “managed process” within organizations (Bruce and Bessant, 2002, p. 38). We employ an expert rating procedure of product design briefs and Exploratory Factor Analysis to derive eleven factors of information elements contained within these document that constitute Design Management: F1 Insights into Customers; F2 Business Model; F3 Product Aesthetics; F4 Authenticity; F5 Symbolic/ Experiential Value; F6 Functional Value; F7 Promotions/ Distribution; F8 Sustainability; F9 Production/ Development; F10 Project Management; F11 Risk/ Safety. Further, we clarify the strategic role of Design Management by relating these factors to measures of firm performance at the product project- and competitive advantage-levels. Our findings are rationalized using the Balanced Score Card for Design Management approach, made up of: (1) Customer Perspective; (2) Process perspective; (3) Learning and Innovation perspective; and (4) Financial perspective. Our results confirm the overwhelmingly positive relationship between Design Management and firm performance and highlights the differential effects of individual factors across the two measures.
Handling categorical variables in effort estimation
Authors: Masateru Tsunoda; S. Amasaki; Akito Monden
Year: 2012

Background: Accurate effort estimation is the basis of the software development project management. The linear regression model is one of the widely-used methods for the purpose. A dataset used to build a model often includes categorical variables denoting such as programming languages. Categorical variables are usually handled with two methods: the stratification and dummy variables. Those methods have a positive effect on accuracy but have shortcomings. The other handing method, the interaction and the hierarchical linear model (HLM), might be able to compensate for them. However, the two methods have not been examined in the research area. Aim: giving useful suggestions for handling categorical variables with the stratification, transforming dummy variables, the interaction, or HLM, when building an estimation model. Method: We built estimation models with the four handling methods on ISBSG, NASA, and Desharnais datasets, and compared accuracy of the methods with each other. Results: The most effective method was different for datasets, and the difference was statistically significant on both mean balanced relative error (MBRE) and mean magnitude of relative error (MMRE). The interaction and HLM were effective in a certain case. Conclusions: The stratification and transforming dummy variables should be tried at least, for obtaining an accurate model. In addition, we suggest that the application of the interaction and HLM should be considered when building the estimation model.
Empowerment through event management: A project management approach for women entrepreneurs
Authors: Onyinye Gift Ejike; Angela Omozele Abhulimen
Year: 2024

This review paper explores the unique challenges women entrepreneurs face in the event management industry and proposes strategies for their empowerment. Women in this sector encounter various barriers, including gender bias, limited access to funding, insufficient networking opportunities, and difficulties balancing professional and personal responsibilities. Societal expectations and industry-specific factors further exacerbate these challenges, hindering women's advancement. The paper highlights the importance of promoting gender equality, improving access to financial resources, enhancing networking and mentorship opportunities, and supporting work-life balance. Additionally, it emphasizes the need to increase women's visibility in leadership roles within the industry. The recommendations aim to create a more inclusive and supportive environment for women entrepreneurs, fostering their growth and innovation in event management. Future research directions are suggested to identify best practices for supporting women entrepreneurs and to provide data-driven insights for policy and industry practices.