derhan/semantic-scholar-manajemen-proyek huggingface dataset:
A Quantitative Study to Assess a Program and Project Management Approach for Collaborative University-Industry R&D Funded Contracts
Authors: G. Fernandes; R. J. Machado; Eduardo B. Pinto; M. Araújo; António J. Pontes
Year: 2016

While the literature provides some advice on managing programs and projects, the specific context of university-industry collaboration, being scarcely reported, demands a strong research effort to produce effective guidelines. Pursuing this effort, a new program and project management (PPM) approach specifically devoted to support collaborative university-industry R&D funded contracts is incrementally being developed. The management of a program of projects requires also the management of all the constituent projects. Therefore, the PPM approach introduces two layers: one layer for supporting the management of the program at the strategic level and another layer for manageming the constituent projects in strait alignment with the program strategy. A common and consistent set of management phases is being established for both layers with several key program and project management activities/practices identified. This paper aims to present and discuss the results of a quantitative study of the implementation of the first version of the PPM approach in a real case, which embraced an investment of 19.2 M€ and involved around 300 people during two years (2013-2015). The questionnaire has elicited 170 responses. The participants in the quantitative study have perceived all activities/practices as having influence on improving program and project management performance, corroborating the general principles that are being adopted in the development of the PPM approach.
FLEXIBLE METHODS OF PROJECT MANAGEMENT: EXPERIENCE AND APPLICATION
Authors: КУШАКОВА А.И. КУШАКОВА А.И.; РОМАНОВСКИЙ Н.А. РОМАНОВСКИЙ Н.А.; ЗАРИПОВА Р.С. ЗАРИПОВА Р.С.
Year: 2024

Статья посвящена гибким методам управления проектами. В современном мире динамичная бизнес-среда требует от организаций постоянной адаптации и эффективного управления проектами для достижения успеха. Современные руководители все чаще прибегают к применению гибких методов, которые позволяют адаптироваться к условиям и процессам в организации. В статье приведен обзор современных методик управления проектами с акцентом на гибкие подходы. Рассматривается опыт применения гибких методов, таких как Scrum, Kanban, Lean и Six Sigma, в контексте современной деловой среды. Выявлены преимущества данных методов и приведены примеры их успешного применения в различных отраслях.
 The article is devoted to agile methods of project management. Modern managers are increasingly resorting to the use of agile methods that allow them to adapt to the conditions and processes in the organisation. The article gives an overview of modern project management techniques with an emphasis on agile approaches. The experience of applying agile methods such as Scrum, Kanban, Lean and Six Sigma in the context of modern business environment is considered. Particular attention is paid to identifying the advantages of these methods, as well as examples of their successful application in various industries.
Evaluating IS/IT Projects: Revealing the Causes of Equivocality
Authors: Arviansyah; T. Spil; J. Hillegersberg
Year: 2013

Evaluating IS/IT projects and deciding on their continuation has been hampered by the problem of equivocality. Equivocal situations hinder decision-makers to clearly recognise potential problems and implications of these decisions, as well as to decide the course of action in a purposeful fashion. However, little attention has been devoted to examine the causes of such situations. Extant literature was analysed and synthesised to identify typical characteristics of equivocal situations and uncover the potential causes of equivocality. We developed a framework based on this review and used it further to assist the investigation and to corroborate the causes of equivocality through expert interviews. In this paper, we investigated the causes of equivocality in practice by eliciting insights from different perspectives of decision-makers and their perceptions toward equivocal situations. We found that equivocal situations prevailed are much strongly related to the Challenges in project management, the Complexity in process and the Sophistication of technology within the Content of evaluation. Intriguingly, we found less solid relations with the Lack of standards and the Failure of evaluation methods as these two factors did not emerge as dominant causes during our discussions with the experts.
Prospects, drivers of and barriers to artificial intelligence adoption in project management
Authors: G. Shang; S. Low; Xin Ying Valen Lim
Year: 2023

PurposeThe rise of artificial intelligence (AI) and differing attitudes towards its adoption in the building and environment (B&E) industry has an impact upon whether companies can meet changing demand and remain relevant and competitive. The emergence of Industry 4.0 technologies, coupled with the repercussions of COVID-19, increases the urgency and opportunities offered that companies must react to, as disruptive technologies impact how project management (PM) professionals work and necessitate acquisition of new skills. This paper attempts to identify the drivers of and barriers to, as well as the general perception and receptiveness of local PM professionals towards, AI adoption in PM and thereby propose potential strategies and recommendations to drive AI adoption in PM.Design/methodology/approachThis study employs both quantitative and qualitative approaches to examine the findings gathered. A survey questionnaire was used as the primary method of gathering quantitative data from 60 local PM professionals. Statistical tests were performed to analyse the data. To substantiate and validate the findings, in-depth interviews with several experienced industry professionals were performed.FindingsIt is found that top drivers include support from top management and leadership, organisational readiness and the need for greater work productivity and efficiency. Top barriers were found to be the high cost of AI implementation and maintenance and the lack of top-down support and skilled employees trained in AI. These findings could be attributed to the present state of AI technologies being new and considerably underutilised in the industry. Hence, substantial top-down support with the right availability of resources and readiness, both in terms of cost and skilled employees, is paramount to kick-start AI implementation in PM.Originality/valueLittle research has been done on the use of AI in PM locally. AI's potential to improve the productivity and efficiency of PM processes in the B&E industry cannot be overlooked. An understanding of the drivers of, barriers to and attitudes towards AI adoption can facilitate more intentional and directed oversight of AI's strategic roll-out at both the governmental and corporate levels and thus mitigate potential challenges that may hinder the implementation process in the future.
CRITICAL ANALYSIS OF PROBLEMS AND SUCCESS FACTORS OF IMPLEMENTATION OF INNOVATION PROJECTS
Authors: Jianan Cui; M. Podshivalova; Olga Zubkova
Year: 2024

In the modern world, innovation activity is considered the key to the economic success of the enterprise and is associated with the prospect of its further development. In this regard, there are more empiri-cal data and studies that examine the barriers and factors influencing the outcome of innovation activity. The latter became the subject of our research, and its initial hypothesis is the existence of a research gap consisting in the under-investigation of external factors of innovation projects success. The main purpose of the study is to analyze and systematize the pool of existing scientific literature in Russian and English languages on the study of barriers and success factors in the implementation of innovative projects of enterprises. The paper analyzes sources for a 20-year period (2004-2023) published in electronic scientific libraries, including 50 (theoretical) Russian-language and 45 (empirical) English-language publications. The main research methods are content analysis, synthesis, and systematization. The main results of the study are as follows. Financing problems are the most common barrier to innovative development for both Russian and foreign companies. Other barriers are different since in Russia the problems of state regulation and internal project management are acute, whereas in foreign countries the main problem is lack of qualified personnel and information about potential markets. The most problematic elements of innovation infrastructure both in Russia and abroad are identified: social, finan-cial and market ones. The success factors highlighted in the literature are more focused on the internal envi-ronment of the firm, including the internal potential of the firm, the quality of management and the ability to cooperate. The key conclusion drawn from the results of the work is to confirm the hypothesis that the impact of the innovative infrastructure and the institutional environment of business on the success of innovative pro-jects is under-researched.
Research on GIS Based Reservoir Resettlement Data Management System - An Example of Guangdong Reservoir Resettlement Project
Authors: Jiexi Shen; Bailing Zhou
Year: 2017

Reservoir resettlement management is the fundamental project to the success of construction of reservoir. Due to the diversity of types of engineering data and trivial content as well as wide range of covers, modern technologies like GIS are required to build the information system and to achieve systematic management of data which can be displayed through diverse methods in order to satisfy requirements of people from different backgrounds. This paper introduced the application module of reservoir management system and gave an example of practical application in Guangdong Province, aiming at demonstrating high effectiveness, systematicness and convenience of modern technologies in reservoir resettlement project management.
Project management strategies for implementing energy-efficient cooling solutions in emerging data center markets
Authors: Wisdom Ebirim; Favour Oluwadamilare Usman; Danny Jose Montero; Nwakamma Ninduwesuor-Ehiobu; Kehinde Andrew Olu-lawal; Emmanuel Chigozie Ani
Year: 2024

Project management strategies play a pivotal role in implementing energy-efficient cooling solutions in emerging data center markets. This review explores key strategies for successful implementation, focusing on the unique challenges and opportunities in these markets. Emerging data center markets are characterized by rapid growth and evolving infrastructure needs. As such, implementing energy-efficient cooling solutions requires a strategic approach that addresses local regulatory requirements, environmental conditions, and technological capabilities. Effective project management in these contexts involves several key strategies. Firstly, thorough planning is essential. This includes conducting feasibility studies, assessing site-specific requirements, and developing detailed project plans. Understanding the local context is crucial, as it can impact the selection and implementation of cooling solutions. Secondly, stakeholder engagement is critical. Engaging with local authorities, communities, and industry stakeholders can help ensure regulatory compliance and garner support for the project. Additionally, involving local experts and partners can provide valuable insights and enhance the project's success. Thirdly, implementing robust monitoring and evaluation mechanisms is essential. Monitoring energy consumption, cooling system performance, and environmental impacts allows for timely adjustments and optimizations, ensuring the long-term sustainability of the cooling solutions. Lastly, knowledge sharing and capacity building are key components of successful project management in emerging data center markets. Providing training and education on energy-efficient practices and technologies can help build local capacity and ensure the continued success of the cooling solutions. In conclusion, project management strategies for implementing energy-efficient cooling solutions in emerging data center markets require a holistic approach that considers local context, engages stakeholders, implements robust monitoring mechanisms, and promotes knowledge sharing. By adopting these strategies, data center operators can effectively address the challenges and opportunities in these markets, contributing to a more sustainable and resilient data center infrastructure.
Optimized Work Flow through VR and AR Technology on Construction Sites
Authors: K. Kirchbach; C. Runde
Year: 2011

The development of a physical building control center can support project management and -control to optimize the flow of the complex processes at a construction site. The concept consists of equipping vehicles with sensors and using VR and AR-techniques to visualize this real time information and allow an optical adaption to current circumstances. The result will be shown by a more efficient utilization and enhanced cost effectiveness. To analyse what is required you always start by clarifying the relevant object to be presented in VR. The instrument chosen was interview. The second step is to work out the necessary way of computing, viewing and manipulating this data. Finally a hardware setting is designed that would probably fulfill the derived requirements. The results of the interviews are presented. By processing these data the information and objects, which shall be visualized within the use case of a control center as well as in an on-site use case, are elaborated and also introduced. For these reasons hardware settings are analyzed and the basis for an implementation is established.
SPEM-Based Process Anti-Pattern Models for Detection in Project Data
Authors: Lenka Simeckova; Přemek Brada; P. Pícha
Year: 2020

A common need in software project management and process improvement is to detect the occurrence of project mishaps and management mistakes, if possible based on data available from project management and development tools. Process anti-patterns describe such re-occurring problems in textual form intended for human consumption, and the lack of their unambiguous, formalized models hinders their detection in project data. This paper discusses how process anti-patterns can be modeled using Software & System Process Engineering Metamodel (SPEM) and describes an approach to transform such models into queries over data of actual software projects. An implementation of the approach in the form of Eclipse Process Framework Composer plug-in is also presented.
Introduction of a quality improvement program in a children's hospital in Tehran: design, implementation, evaluation and lessons learned.
Authors: S. Mohammadi; S. Mohammadi; J. Hedges; M. Zohrabi; O. Ameli
Year: 2007

BACKGROUND AND OBJECTIVE
Reports addressing continuous quality improvement (CQI) methods in developing countries are scant and there are questions about the applicability of quality improvement methods in such settings. The structure and output of a formal quality improvement program implemented in a teaching hospital affiliated with the Tehran University of Medical Sciences is presented. OBJECTIVE METHOD: During a nine-month period, a multi-stage quality improvement program was implemented. It comprised: (i) training workshops; (ii) a steering committee; (iii) weekly consultation and facilitation of improvement projects; and (iv) a day-long demonstration and recognition meeting. Four cycles of workshops were held in which 132 employees were trained in the basics of CQI.


RESULTS
Thirty improvement projects were initiated. Twenty-five of the projects were completed. In an evaluation survey more than 70% of respondents assessed a 'positive impact' on organizational culture, work efficiency and quality of services. More than 90% believed that the changes were sustained, and more than 60% reported that they have implemented additional improvement projects.


CONCLUSION
Our quality improvement package supported rapid implementation of multiple projects. The underlying 'change structure' comprised the improvement teams, top management and the university's quality improvement office; it integrated project management, support and facilitation functions by the respective participant. Organization-wide change was more limited than anticipated. To institutionalize the program and ensure sustainability, a local structure for change should be organized, management coaching should be sustained, local facilitators should be developed, incentives should be established and physician involvement should be emphasized.
Survey of the adjourned sale rate of the Japanese home video game industry
Authors: Yuhsuke Koyama
Year: 2007

We carried out a survey of the adjourned sales rate of the Japanese home video games from famitsu, a major weekly magazine, in order to construct a reference index of project management. We chose Playstation®(PS), Playstation2® (PS2) and Game Boy Advance® (GBA®) as the platform and measured the fraction of the titles which were postponed for sale once or more times. The results are as follows: 1) During the first year after the release of the new platform, the rate of adjourned sale was high and gradually declined year by year. 2) In PS® platform, adjourned rate was nearly 50% in the first three years 1994-1996, and declined to 22% in 2001. 3) In PS2® platform, adjourned rate was 33% in the first year 2000, and declined to 26% in 2004, 4) In GBA® platform, adjourned rate was 24% in the first year 2001, and declined rapidly to 7% in 2004. 5) Game titles scheduled to go on sale around the new-year holidays or at the end of the fiscal year showed a significantly higher rate of adjourned sales Author
Cognitive scaffolding model for project management that integrates the
development of academic skills and a sustainable approach
Authors: Teresa de Jesús Gómez-Lemus
Year: 2023

Objectives: With the purpose of guiding the development of
research projects with a sustainable approach, in order to
solve the dialectic between chaos and opportunity, posed by
technological development, a cognitive scaffolding model is
developed, applicable to the development of projects in any
field of knowledge. This scaffolding is proposed as a
sustainable model in itself, by integrating competency-based
training as the main structure and as part corresponding to the
social pillar or sphere; Life Cycle Analysis, indicators and
other environmental issues make up the environmental pillar
or sphere and the technological and commercial part make up
the economic pillar or sphere. Methodology: A documentary
and qualitative research is proposed for the conformation of
the scaffolding model, which is validated through the
application to a concrete case. Contribution: With a holistic
vision that integrates sustainability and competency-based
training, a technological development was achieved that
integrated key determining concepts for its design,
construction, operation and market vision. The model is a
guide that structures the basic information in force in the
global agenda, flexible, allowing the incorporation of the
specific theoretical framework of the project in question.
Software project management: life cycle models and development methodologies, analysis and classification
Authors: K. Myshenkov; D. A. Gurianov
Year: 2024

Choosing the right software development methodology can play a key role in making a project successful. Depending on the chosen methodology, it is possible to reduce product delivery times, development costs, manage uncertainty and risks, improve quality and user satisfaction, and provide more detailed control over the project. Despite the importance of this task, the choice of the most appropriate methodology for a particular project is difficult due to the large number of evaluation criteria, the lack of sufficient literature on this issue and the low level of formalization of the process, when the choice of methodology is made only on the basis of the previous experience of the project manager. The purpose of the work is to increase the efficiency of the processes of substantiation and selection of software development methodologies for specific projects. The article discusses the main well-known life cycle models and software development methodologies. An analysis of methods and criteria for classifying methodologies was carried out, and the shortcomings of existing classifications were identified. A new multi-criteria hierarchical classification is proposed, offering a more complete and broader distribution of life cycle models and software development methodologies across classes. A review of existing methodologies, an analysis of known classification methods and their shortcomings, the methodologies classification proposed by the authors will help project managers more reasonably choose development methodologies and reduce risks in the process of managing software projects.
Paving the way to successful six sigma implementation: investigating critical success factors as precursors: an empirical study
Authors: A. Bagherian; Mark Gershon; Sunil Kumar
Year: 2023

PurposeNumerous attempts at installing six sigma (SS) have faced challenges and fallen short of the desired success. Thus, it becomes vital to identify the critical factors and characteristics that play a pivotal role in achieving successful adoption. In this study the research has aimed to highlight that a considerable number of corporate SS initiatives, around 60%, fail primarily due to the improper incorporation of essential elements and flawed assumptions.Design/methodology/approachTo validate the influence of critical success factors (CSFs) on SS accomplishment, the study employed a research design combining exploratory and mixed-methods approaches. A Likert-scale questionnaire was utilized, and a simple random sampling method was employed to gather data. Out of the 2,325 potential participants approached, 573 responses were received, primarily from Germany, the United Kingdom and Sweden. The analysis focused on 260 completed questionnaires and statistical methods including structural equation modeling (SEM), exploratory factor analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized for data analysis.FindingsThe study acknowledged four essential components of CSFs that are imperative for sustaining the success of SS: (1) Competence of belt System employees; (2) Project management skills; (3) Organizational economic capability and (4) Leadership commitment and engagement. These factors were identified as significant contributors to the maintenance of SS’s success.Practical implicationsThe practical implications of this research imply that institutions, practitioners, and researchers can utilize the four identified factors to foster the sustainable deployment of SS initiatives. By incorporating these factors, organizations can enhance the effectiveness and longevity of their SS practices.Originality/valueThe investigation's originality lies in its contribution to assessing CSFs in SS deployment within the European automobile industry, utilizing a mixed-methods research design supplemented by descriptive statistics.