derhan/semantic-scholar-manajemen-proyek huggingface dataset:
The importance of interaction mechanisms in blended learning courses involving problem solving e-tivities
Authors: A. Venditti; Fausto Fasano; M. Risi; G. Tortora
Year: 2018

Blended learning is widely adopted by education agencies and organizations, as it is a flexible model in which face-to-face classroom practices are combined with computer-mediated activities. To overcome the limits of the loss of interaction between teacher and students and among students in distance learning, researchers proposed several solutions, conducting experiments in several teaching areas. Our interest is aimed at studying blended learning with a specific focus on those courses involving problem solving activities, through collaboration among students.Modern Learning Management Systems (LMS) allow to define virtual classrooms and offer various functionalities to support the class. At the same time, they are not designed to fully support all type of activities. Thus, they provide the possibility of integrating other more useful systems for more specific activities. A standard LMS has to be integrated using specific tools when problem solving activities are planned, to ensure effective collaboration among students. In this regard, there is no convergence towards a specific tool that can be used to carry out problem solving activities in collaboration.This paper aims to propose a minimal set of requirements for interaction mechanisms to support problem solving activities in a collaborative environment, in order to obtain better quality artifacts. We also report the results of a three-month experimental course (12 weeks) entitled ”Project Management: a look ahead”, based on blended learning and problem solving activities. The minimal set of requirements for interaction mechanisms was implemented using GitHub, that is not a teaching software, but it is a global software development tool which has powerful communication mechanisms. The results show that the aid of the proposed minimal set of requirements for interaction mechanisms significantly improves the quality of artifacts when problem solving activities are carried out.
A Simulation Model for Process-Centered Software Engineering Environments Using Sensitivity Analysis
Authors: Juliano Dertzbacher; A. L. R. D. Sousa; D. Nunes
Year: 2011

Software development is a high risk activity that requires planning to reduce costs and meet deadlines. This paper presents a simulation model, integrated to a tool that supports project management centered processes, uses the information in the PSEE database, offers resources to manipulate process data in a deterministic or stochastic way (simulation), allows testing various scenarios and identifies the variables that have most impact on the final result (sensitivity analysis). The results achieved by implementing this model, using the information of a real case study, were able to provide important data to improve the process under study.
BIM: A COLLABORATIVE APPROACH TO ARCHITECTURAL PROJECT MANAGEMENT
Authors: Nawal Benmicia; Lakhdar Belarbi
Year: 2024

At the present time, digital technology has fundamentally altered both our daily lives and professional environments. New tools and software have emerged, becoming crucial across various fields, including urban development, by replacing traditional methods. Among these technological advancements is Building Information Modeling (BIM), also known as Better Information Management, which has evolved into a collaborative management process integrating architectural projects. 
BIM relies on technologies and solutions that intelligently model and structure the different stakeholders involved in a project. It creates a virtual environment that accurately represents buildings and urban spaces, including their geometry, spatial organizations, functionalities, and other significant information. 
This contribution aims to examine the challenges associated with using BIM as a collaborative project management process in architecture. It also seeks to explore new strategies that promote the efficiency and quality of architectural projects.
Critical success factors of ERP system implementation projects - A literature review
Authors: Christian Leyh
Year: 2011

The aim of our study was to gain an insight in the research field of critical success factors (CSF) of ERP implementation projects. Therefore, we conducted a literature review – a systematic review in five different databases and among several proceedings of international conferences. All in all, we identified 185 relevant papers – 95 single or multiple case studies, 55 surveys and 35 literature reviews or articles where CSFs are derived from chosen literature. From these existing studies we derived 31 different CSFs. The top three factors identified are: Top Management Support and Involvement, Project Management and User Training. Most of the relevant papers focus large enterprises. Only 12 papers explicitly focus on smaller and medium-sized enterprises (S&ME) which can be seen as research gap in this field.
Modelling the enablers of productivity of enterprise-level Agile software development process using modified TISM approach
Authors: Chaitanya Arun Sathe; Chetan Panse
Year: 2024


Purpose
This study aims to examine the enablers of productivity of enterprise-level Agile development process using modified total interpretative structural modeling (TISM). The two main objectives of the current study are to determine the variables influencing enterprise-level agile development productivity and to develop modified TISM for the corresponding components.


Design/methodology/approach
To identify enablers of the productivity of enterprise-level agile software development process a literature review and opinions of domain experts were collected. A hierarchical relationship among variables that show direct and indirect influence is created using the modified TISM (M-TISM) technique with Cross Impact Matrix-Multiplication Applied to Classification analysis. This study examined and analyzed the relationships between the determinants within the enterprise using a M-TISM technique.


Findings
With the literature review, the study could identify ten enabling factors of the productivity of Agile development process at the enterprise level. Results depict that program increment (PI) planning and scalable backlog management, continuous integration and continuous delivery (CI/CD), agile release trains (ART), agile work culture, delivery excellence, lean and DevOps practices, value stream mapping (VMS), team skills and expertise, collaborative culture, agile coaching, customer engagement have an impact on the productivity of enterprise-level Agile development process. The results show that team collaboration, agile ways of working and customer engagement have a greater impact on productivity improvement for enterprise-level Agile development process.


Research limitations/implications
The developed model is useful for organizations employing scaled Agile development processes in software development. This study provides a recommended listing of key enablers, that may enable productivity improvements in the Agile development process at the enterprise level. Strategists should focus on team collaboration and Agile project management. This study offers a modified TISM model to academicians to help them understand the effects of numerous variables on maintaining the productivity of an enterprise-level Agile. The identified characteristics and their hierarchical structure can help project managers during the execution of Agile projects at the enterprise level, more effectively, increasing their success and productivity.


Originality/value
The study addresses the gap in the literature by interpretative relationships between the identified enabling factors. The model validation is carried out by a panel of nine experts from several information technology organizations deploying Agile software development at the enterprise level. This unique method broadens the knowledge base in Agile software development at scale and provides project managers and practitioners with a practical foundation.
Successful management of cloud‐based global software development projects: A multivocal study
Authors: M. Akbar; Sajjad Mahmood; A. Khan
Year: 2022

Software industry is continuously exploring better ways to develop applications. A new phenomenon to achieve this is cloud‐based global software development (CGSD), which refers to the adoption of cloud computing services by organizations to support global software development projects. The CGSD approach affects the strategic and operational aspects of the way projects are managed. The objective of the study is to identify the success factors which contribute to management of CGSD projects. We carried out a multivocal literature review (MLR) to identify the success factors from the state‐of‐the‐art and the state‐of‐the‐practice in project management of CGSD projects. We identified 32 success factors that contribute to the management of CGSD projects. The findings of MLR indicate that time to market, continuous development, financial restructuring, and scalability are the most critical success factors for CGSD. Moreover, the findings of the study show that there is a positive correlation between the success factors reported in both formal literature and industry based gray literature. The findings of this study can assist the practitioners to develop the strategies needed for effective project management of CGSD projects.
PERBANDINGAN PENJADWALAN PROYEK ANTARA METODE KONVENSIONAL DENGAN APLIKASI MICROSOFT PROJECT (STUDI KASUS: PEMBANGUNAN GEDUNG DUA LANTAI SDN 1 PEDUNGAN)
Authors: Program Studi; Teknik Sipil; Fakultas Teknik; Unversitas Mahasaraswati; Denpasar
Year: 2024

Good construction project implementation is obtained from good and detailed management. The success of project management is supported by a detailed and thorough planning and scheduling method. Project scheduling has many types with various forms, advantages and disadvantages, even in current technological developments, applications are available that can help plan, implement and control projects, namely the Microsoft Project application. In the implementation of the SDN 1 Pedungan Two-Floor Building Development project, it still uses scheduling using the conventional method (S-Curve). With the existence of various forms of scheduling, this writer compares the method between the S Curve and the Critical Path Method (CPM) to obtain effective and efficient scheduling. The data used in this study are quantitative data such as the Budget Plan (RAB) which produces job descriptions and volumes, the Time Schedule plan which produces the activity duration of each work item, the predecessor and project start time, the analysis list which produces resource requirements and the calendar. workflow that returns project start time, workdays, workhours, worktime and holidays. After comparing the duration of each work between the conventional method using the Microsoft Project 2019 application in the construction project of the Two-Floor Building at SDN 1 Pedungan, the implementation time plan is faster than the conventional method, namely with a difference of 31 days, this is influenced by calculations of needs and availability of resources. power (Unit Max) per day adjusted to the volume of work
Strategies Adopted by Employees Toward Meeting the Requirements of International Company Needs and Developing Global Efficiency
Authors: DR SATHIYA R
Year: 2024

"In the modern world, the international company cultivates a culture on a global scale. Employees face challenges in adapting to critical international cultural levels. Employees need to develop skills, language proficiency, and cultural understanding based on the needs and requirements of international company strategies for the work culture.
Employees must develop communication skills to interact with colleagues and clients worldwide. Employees are encouraged to learn multiple languages to engage with different cultures for global business activities. They can leverage technology to bridge geographical gaps. With the rise of virtual collaboration tools, employees can now work seamlessly across borders. By embracing digital platforms and staying up-to-date with the latest technology trends, employees can enhance their productivity and contribute to global efficiency.
They can seek training opportunities that specifically address the challenges of working in an international context, such as cross-cultural communication or global project management. By embracing cultural intelligence, enhancing language skills, leveraging technology, and investing in continuous learning, employees can play a vital role in driving the success of international organizations in today's interconnected world. To achieve these goals, employees can adopt several strategies that help them navigate the challenges of working in a global setting."
The Impact of Digital Transformation on Project Management and Business Development: Case Studies in Diverse Industries
Authors: Ruslan Sayed
Year: 2022

In today's world, digitalisation is one of the main features of the modern economy; it is a systematic approach to the use of digital resources to increase labour productivity, competitiveness and economic development of the company as a whole, which contributes to the formation of a new technological order. The global trend of digitalisation in the economy in a rapidly changing environment requires the creation of new models and mechanisms of project management based on the foundation of both traditional methodologies and innovative business ideas and development strategies. Due to these trends, approaches to the development of modern project management are rapidly growing under the influence of digital technologies and automation. Modern project management is primarily focused on obtaining a quality result, while the process itself can be organised depending on the specifics of the project being implemented. The purpose of the study is to determine the impact of digitalisation on modern project management and, in general, on the development of modern business. To achieve this goal, a set of general scientific methods was used, including analysis, synthesis, generalisation, systematisation, induction and deduction. The study proves that modern project management is characterised by the active development and implementation of innovative digital technologies that allow team members to focus on the result and quality performance of their functions, while routine tasks can be performed using automated systems and artificial intelligence.
Critical Delay Factors Affecting Construction Project Performance – A Contemporary Perspective
Authors: Amit Moza; Virendra Kumar Paul
Year: 2024

The construction industry plays a crucial role in India's fiscal targets amid a growing emphasis on infrastructure development. Despite extensive project management knowledge, persistent delays afflict 33% of projects, averaging a 47-month setback as of August 2021. This study seeks to pinpoint Critical Delay Factors (CDFs) in contemporary construction projects, drawing from 59 attributes identified through literature and expert input. A questionnaire survey gauged expert opinions on the impact of these attributes. Factor analysis unveiled underlying constructs, revealing seven CDFs, and the Relative Importance Index (RII) ranked factors by significance. Across professional roles and regional distinctions, ANOVA demonstrated consistent CDF evaluations. These findings are anticipated to guide project stakeholders in prioritizing factors for effective delay management, promoting successful project outcomes.
Resource-saving management paradigm in projects of Rosatom State Corporation machine-building division enterprises
Authors: M. V. Golovko; A. M. Potyavin; I. A. Ukhalina; A. Antsibor; N. A. Efimenko; Z. S. Rogacheva
Year: 2023

The article analyzes current problems and successful practices of implementing lean technologies at Russian enterprises. The purpose of the presented research work is to develop relevant mechanisms, search for tools and technologies with the help of which the mentioned problems (general and specific) can be overcome. The novelty of the research lies in the justification of the transition to a new paradigm of resource-saving management and adaptation of project management and business analysis tools to the projects of lean technology implementation. To investigate the trends in the formation of a new management paradigm based on the active involvement of resource-saving tools, such general scientific methods as analysis of scientific and specialized literature, synthesis, logical and analytical methods were used. Materials of internal reporting of the enterprises of the machine-building division of Rosatom State Corporation are used in the work. The main problems of implementing lean technologies at Russian enterprises are formulated and ranked. The list of enterprise management techniques in accordance with the new management paradigm is presented, as well as their capabilities to improve the efficiency of management decisions. The importance of digital technologies for ensuring the effectiveness of resource-saving projects is substantiated. An approximate strategic map for nuclear power engineering enterprises, based on the balanced scorecard methodology, in the implementation of lean decisions is developed. The most effective projects of enterprises of the machine-building division of the State Atomic Energy Corporation ROSATOM were identified, which can become benchmarking objects for scaling experience among enterprises of other divisions of the State Corporation, as well as for enterprises of other industries and spheres of activity. Despite the rather high degree of development of the problem of lean technology implementation, new realities form specific factors that can make the previous scientific and practical results irrelevant. Further research of this topic should be carried out on the basis of analyzing the dynamics of the external environment leading to fluctuations in the industry and regional markets.
Tutorial: Addressing Underexposed Components in Operations Research Literature
Authors: Frans Cruijssen; Koen Peters; Hein A. Fleuren
Year: 2024

This tutorial paper discusses underrepresented practical perspectives in the operations research literature, which primarily focuses on theoretical advancements rather than documenting successful real-world applications. Drawing on experience in academia, business, and humanitarian organizations, the authors identify seven crucial—yet often overlooked—components essential for a successful analytics implementation. These components are change management, data management, model selection and validation, project management, promotion and advocacy, scoping, and software. Despite the prevalence of analytics research, these components are seldom discussed in academic literature, leaving a gap between theory and practice in analytics. We emphasize the importance of these components to achieve impactful analytics interventions and call for a more comprehensive approach to analytics research. By bridging the gap between hard analytics (mathematical modeling) and soft analytics (practical implementation), the tutorial highlights the need for scholars and practitioners to collaborate and exchange insights for more effective real-world applications of analytics. History: This paper was refereed.
Contribution of artificial intelligence (AI) to construction project management processes: State of the art with scoping review method
Authors: Hande Aladağ
Year: 2024

The Artificial Intelligence (AI) is being considered as a new way to tackle the challenges frequently faced by the Architecture, Engineering and Construction (AEC) industry in terms of its ability to leverage advanced technologies, data analysis techniques, and automation to address specific challenges and improve efficiency, productivity, safety, decision-making, and overall project outcomes. Thus, it is imperative to know the future of AI in construction project management processes. With this background, this study aims to detect application areas of AI in construction project management processes by using scoping review method and create a base for the development of theories that can support future studies. According to the findings of studies, application areas of AI in project management domain are generally clustered under eight main topics: cost, time, quality, contract, dispute, risk, safety, and sustainability. In line with the findings, this study contributes in two-folds. As the theoretical contribution researchers can benefit from this study, which addresses the research trends and current applications of this ground-breaking technology in project management processes, by mapping the current interest in AI studies. The future studies can be directed in line with identified gaps and justifications. As the practical contributions, construction companies that want to be the early movers can benefit from the findings of this study as they reveal crucial areas where they can focus their investment on areas where AI can make the most significant difference to address their company’s specific requirements.
Lean Software Management: BBC Worldwide Case Study
Authors: Peter J. Middleton; David Joyce
Year: 2012

This case study examines how the lean ideas behind the Toyota production system can be applied to software project management. It is a detailed investigation of the performance of a nine-person software development team employed by BBC Worldwide based in London. The data collected in 2009 involved direct observations of the development team, the kanban boards, the daily stand-up meetings, semistructured interviews with a wide variety of staff, and statistical analysis. The evidence shows that over the 12-month period, lead time to deliver software improved by 37%, consistency of delivery rose by 47%, and defects reported by customers fell 24%. The significance of this work is showing that the use of lean methods including visual management, team-based problem solving, smaller batch sizes, and statistical process control can improve software development. It also summarizes key differences between agile and lean approaches to software development. The conclusion is that the performance of the software development team was improved by adopting a lean approach. The faster delivery with a focus on creating the highest value to the customer also reduced both technical and market risks. The drawbacks are that it may not fit well with existing corporate standards.
Assessing the possibility of creating “smart cities” in Khabarovsk Territory and its economic consequences
Authors: Maksim Dendiberya; O. Tishutina; Alexei Barchukov; Rudolf Leontiev; I. Fedchenko
Year: 2023

Current article deals with the problem of territorial development in terms of innovative approaches associated with the integration of the “smart city|” project management systems. The analysis of the basic approaches to the formation of the “smart city” definition has been conducted; the basic tasks assigned to this system from the point of view of the applied process of administration of the basic social and economic processes proceeding in the system of municipal formation have been estimated. The analysis of the main problems of the “smart city” project implementation, typical for any territorial unit regardless of the impact of internal and external environment factors of the innovative project realization has been carried out. The possibility of implementing the “Smart City Khabarovsk” project in terms of the innovative project’s “risk map” was assessed. The analysis of the results of the project for the economy of the municipality, based on the potential specifics of the “smart city” system, its impact on the organization of economic relations, the impact on financial transactions in the Khabarovsk Territory and the city of Khabarovsk, and on the socio-economic activity of the population of the region.