derhan/semantic-scholar-manajemen-proyek huggingface dataset:
THE ESSENCE OF THE PROCESSES OF MANAGEMENT OF INVESTMENT AND INNOVATION SUPPORT OF ENTERPRISES
Authors: Сергій Рожок
Year: 2024

The article studies the essence of the processes of management of investment and innovation support of enterprises. The relevance of the topic lies in the need to study the essence of the processes of management of investment and innovation support of enterprises, since the implementation of innovation activities that ensure the appropriate development of the enterprise depends on the possibilities of attracting and the sufficiency of the financial, investment and innovation resources necessary for this in the form of financial, investment capital; created, attracted or received technologies, machinery, equipment; intellectual intangible assets; material resources and human resources of appropriate qualifications, competence, capable of effectively using these resources, planning, implementing innovation processes and generally managing innovations.

The article is aimed at studying the essence of the processes of management of investment and innovation support of enterprises.

The methodological basis of the study was the methods of analysis and synthesis, observation, comparison; systemic, resource, historical, complex, logical-dialectical methodological approaches.

The scientific results obtained consist in the study of the essence and management of investment and innovation activities, ensuring the growth of enterprises on the basis of the implementation of investment and innovation projects, which requires effective changes in the structure of enterprise management and the use of a wide range of approaches, management methods and their tools in the functional areas of investment innovation management, a combination of the traditional management system and innovations, application of project management methodologies, increasing flexibility, efficiency of resource management and strengthening of resource capacity, implementation of risk management tools and the possibility of timely change management in enterprise management. 

Prospects for further research are to determine the factors of success of investment and innovation activities, where the most significant components of the readiness of enterprises to implement changes are the availability of their own financial resources for the implementation of such activities, the real possibility of attracting investment resources from external sources for the implementation of investment and innovation activities, the availability of investors and their interest in investing and the formation and development of environment, market, infrastructure of innovation activity for the interaction of all participants in investment and innovation processes.
A software measurement task ontology
Authors: M. Barcellos; R. Falbo
Year: 2013

Software measurement is a key process for software project management and software process improvement. There are several process quality models and measurement standards that point out its importance and present good practices for it. Unfortunately, the vocabulary used by these models is diverse. This leads to misunderstanding and problems related to the jointly use of different standards. Aiming at establishing a common conceptualization regarding the software measurement process, we developed a Software Measurement Task Ontology (SMTO), which is grounded on the Unified Foundational Ontology. This task ontology was developed to be used for addressing semantic interoperability problems arising from the jointly use of different measurement-related standards, as well as for supporting semantic integration of software applications supporting measurement.
A Proposal for Research on the Application of AI/ML in ITPM: Intelligent Project Management
Authors: Anoop Mishra; A. Tripathi; D. Khazanchi
Year: 2023

According to the market research firm Tractica, the global artificial intelligence software market is forecast to grow to 126 billion by 2025. Additionally, the Gartner group predicts that during the same time as much as 80% of the routine work ,  which represents the bulk of human hours spent in today's project management (PM) activities, can be eliminated because of collaboration between humans and smart machines. Today's PM practices rely heavily on human input. However, that is not the optimum use of the human project manager's intuitive, innovative, and creative abilities. Many aspects of a project manager's work could be managed by machines that utilize AI/ML approaches to address nonroutine and predictive tasks. This paper describes IT project management (ITPM) processes and associated tasks and identifies the AI/ML approaches that can support them.
Real Options in Agile Software Development: Handling the Paradox of Flexibility and Behavioural Stickiness in Project Valuation
Authors: A. Baumeister; M. Ilg
Year: 2018

Agile software development (ASD) increases project flexibility. While the induced real option values (ROVs) are widely discussed in information technology (IT) literature and used for project management (PM) decisions in practice, behavioural deformations as discussed in naturalistic decision making (NDM) theory such as overoptimism or an escalation of commitment might mislead PM e.g. to abandon unsuccessful projects later than rationally appropriate. Hence, the impact of imperfect, noisy information about the project and behavioural shortcomings should be anticipated in project decisions by adjusting ROVs. However, while behavioural finance gains much momentum, there is no correspondence to that in IT research. Therefore, this paper provides following design science research (1) basic concepts of NDM that should be included in IT project valuation, (2) a base for modelling behaviourally induced consequences for project investment valuation in a multi-period setting, (3) for illustration a simulation study with a sequence of abandonment options in ASD and (4) recommendations for PM how to integrate behavioural deformations in real life decisions. It therefore contributes to descriptive and prescriptive decision and PM theory as well.
Translating visions into realities.
Authors: Arne Nesje
Year: 2006

The overall vision and the building concept. The overall vision with individual buildings that have focal points for the related medical treatment may seem to increase both investment and operational cost, especially in the period until the total hospital is finished (2014). The slogan "Better services at lower cost" is probably a vision that will prove to be hard to fulfil. But the patients will probably be the long-term winners with single rooms with bathroom, high standards of service, good architecture and a pleasant environment. The challenge will be to get the necessary funding for running the hospital. The planning process and project management Many interviewees indicate how difficult it is to combine many functions and requirements in one building concept. Different architectural, technical, functional and economic interests will often cause conflict. The project organisation HBMN was organised outside the administration of both STOLAV and HMN. A closer connection and better co-operation with STOLAV may have resulted in more influence from the medical employees. It is probably fair to anticipate that the medical employees would have felt more ownership of the process and thus be more satisfied with the concept and the result. On the other hand the organisation of the project outside the hospital administration may have contributed to better control and more professional management of the construction project. The management for planning and building (technical programme, environmental programme, aesthetical The need for control on site was probably underestimated. For STOLAV technical department (TD) the building process has been time-consuming by giving support, making controls and preparing the take-over phase. But during this process they have become better trained to run and operate the new centres. The commissioning phase has been a challenging time. There were generally more changes, supplementation and claims than anticipated. The investment costs are nearly on budget, but the concept will have a negative effect on the running costs of the hospital. The budgets for running both the old and new hospital until phase 2 is finished have not been calculated properly and can reduce the level of ambition in the further process. The moving in phase was a little postponed for some of the centres. Only the laboratory centre has moved in on time. It was realised immediately that the buildings services had not been tested out and adjusted properly. In addition it was acknowledged that there should have been a better training programme for the new organisation before moving in. This situation was extremely challenging for the medical employees. With experience from building phase 1, HBMN decided to change the contract model for building phase 2 to a partnering process. That means higher involvement of suppliers and subcontractors with a goal to improve both quality and efficiency. A greater involvement of all participants is needed to share the risk but also reduce costs.
Methods of Creating Rich User Interfaces based on Flex Framework
Authors: B. Sakowicz; P. Mazur; M. Kaminski; M. Wojtera; Adam Debinski
Year: 2010

The article, by describing features of sample application for project management, presents methods of creating graphical interfaces of modern applications that run in web browser environment. Sample program is written with the use of FLEX Framework and some FLEX supporting tools. The FLEX technology is described as well as other RIA techniques.
How flexible is project management in practice? An exploratory research into project management of infrastructure projects in construction industry
Authors: A. J. Sohi; M. Bosch-Rekveldt; M. Hertogh
Year: 2017

Nowadays, flexibility of project management attracts practitioners and scholars attention as a must-have quality to enable managing project complexity. Increased complexity of infrastructure projects needs such management approach which takes the (increasing) complexity into account. Literature sheds light on importance of flexibility in project management while practice of project management in construction industry seems to be less flexible. The gap between what literature advises and what practice does, triggered us to look into the practice and see whether it aligns with literature or not. Hence the objective of this research was to explore the flexibility of project management in practice in the frontend phase of infrastructure projects. By means of a semi-structured questionnaire we asked practitioners to rate their last-completed project based on its management flexibility. In order to do so, we gave the participants a list 26 identified flexibility enablers from literature and asked them first to pick (in general) the 5 most important and 5 least important flexibility enablers. Next we asked them to rate the project management of the selected project based on those 10 picked enablers. By qualitative analysis of data gathered from 43 respondents from The Netherlands it reveals that the practice of project management has some degree of flexibility which implicitly has taken into action. Our research results can help practitioners to take the full advantage of flexibility in project management by making (more) explicit what they do implicitly. For further research it is recommended to test the practical applicability of flexibility enablers in case studies, explicitly investigating the suggested links to project performance
[Strategy Development for International Cooperation in the Clinical Laboratory Field].
Authors: Y. Kudo; S. Osawa
Year: 2015

The strategy of international cooperation in the clinical laboratory field was analyzed to improve the quality of intervention by reviewing documents from international organizations and the Japanese government. Based on the world development agenda, the target of action for health has shifted from communicable diseases to non-communicable diseases (NCD). This emphasizes the importance of comprehensive clinical laboratories instead of disease-specific examinations in developing countries. To achieve this goal, the World Health Organization (WHO) has disseminated to the African and Asian regions the Laboratory Quality Management System (LQMS), which is based on the same principles of the International Organization of Standardization (ISO) 15189. To execute this strategy, international experts must have competence in project management, analyze information regarding the target country, and develop a strategy for management of the LQMS with an understanding of the technical aspects of laboratory work. However, there is no appropriate pre- and post-educational system of international health for Japanese international workers. Universities and academic organizations should cooperate with the government to establish a system of education for international workers. Objectives of this education system must include: (1) training for the organization and understanding of global health issues, (2) education of the principles regarding comprehensive management of clinical laboratories, and (3) understanding the LQMS which was employed based on WHO's initiative. Achievement of these objectives will help improve the quality of international cooperation in the clinical laboratory field.
State Space Exploration for Planning Reconfigurations in Cloud-native Systems
Authors: Florian Ege; Stefan Höppner; Matthias Tichy; Sarah Stieß
Year: 2023

Stream processing systems (SPS) are becoming more frequent due to current trends such as Industry 4.0 or the Internet of Things. These systems’ performance is particularly important, as their timely processing is a crucial capability. At the same time, these systems are often combined with novel machine learning approaches (steaming analytics) that have high-performance demands. This combination poses potential challenges for performance management. In this paper, we have conducted expert interviews in the industry to identify performance challenges in streaming analytics implementations and to derive future research directions to address them. Our analysis shows that while the experts had diﬀerent opinions on the role of performance in project management, they agreed on ﬁve common challenges.
Supply Chain Management (SCM) Breakdowns and SCM Strategy Selection during the COVID-19 Pandemic Using the Novel Rough MCDM Model
Authors: Željko Stević; A. Ulutaş; Selçuk Korucuk; Saliha Memiş; Ezgi Demir; Ayşe Topal; Çağlar Karamaşa
Year: 2023

Supply chain management (SCM) is deeply affected by the COVID-19 pandemic besides breakdowns occurred in all sectors. Nowadays, managers need techniques for protecting supply chains from serious and costly disruptions, establishing permanent relationships with the customers and partners and preventing breakdowns throughout the process. Each firm needs to determine SCM strategies to be prepared for breakdowns in an intense competitive environment. With COVID-19, the change in business and trade environments has taken a different dimension, and it has revealed a new relationship between the efforts to perpetuate supply chains and strategies for supply chain management and enabled new models. In this study, it is aimed to prioritize the factors that lead to SCM breaks needed in project management and the realization of projects, and to choose the most successful SCM strategy considering COVID-19. For this purpose, rough SWARA was used for weighting factors and rough MARCOS was used for the alternative selection. According to the findings, the transportation capacity factor was found to be the most important factor leading to SCM breakdowns. The most ideal supply chain management strategy has been the “collaborative supply chain management strategy.” In the food manufacturing sector, the study can be considered as a roadmap in terms of preventing supply chain management breaks during the COVID-19 process and helping to ensure a sustainable production. As another theoretical and practical importance of the study, it is aimed to propose a robust, powerful, and practical decision-making model that can cope with the current uncertainties.
Reasoning with Noisy Software Effort Data
Authors: Bhekisipho Twala
Year: 2014

Constructing an accurate effort prediction model remains a challenge in software engineering. Recently, machine learning classifiers have been used successfully for software effort evaluation decisions. However, the development and validation of these classifiers (and other modes) require good quality data. Most research on machine learning assumes that the attributes of training and tests instances are not only completely specified but are also free from noise. Real-world industrial datasets, however, suffer from corruption or noise that is not always known. However, blindly applying such machine learning techniques to noisy software effort evaluation data may fail to make very good or perfect predictions, resulting in poor decisions and ineffective project management. This article investigates the effect of noisy domains on the learning accuracy of eight machine learning and statistical pattern recognition algorithms. We further derive solutions for the problem of noisy domains in software effort prediction from a probabilistic point of view. Our experimental results show that our algorithm can improve prediction for software effort corrupted by noise with reasonable and much improved accuracy.
Management of industrial development projects in special economic zone
Authors: D. Iskandarov; S. Borozdina
Year: 2023

Article examines problem of improving efficiency of industrial development project management in special economic zones (SEZ) at various stages of their life cycle. Conducted analysis of functioning features of SEZs in the context of implementation state policy on their development in the Russian Federation (RF), with subsequent determination nature of prevailing trends and changes in application of this tool in macroeconomic environment to promote economic activity. To solve problem that posed in study, authors have developed a method for evaluating effectiveness of industrial development project management in SEZ, which consists in using the benefits and advantages of preferential management regime in the activities of construction organizations implementing similar projects. Purpose of study is to improve methods of assessing effectiveness of management activities for implementation project activities in the SEZ based on a balanced spatial arrangement of construction objects. Result of research consists in development a model that describes role of SEZ in ensuring improvement of industrial and construction sphere of state and creation a project management assessment method that considers provisions of spatial development strategy. Key research methods that served as basis for solving scientific problems are theoretical analysis, synthesis, measurement, and modeling. In addition, article pays special attention to reflection the role of "one window" principle, which operates on SEZ territory and has a positive impact on implementation investment and construction projects (ICPs). Authors of study suggest that possibility of accelerated passage of administrative procedures for obtaining executive permits for construction activities largely shapes effectiveness of industrial development projects.
Software disasters—understanding the past, to improve the future
Authors: P. McQuaid
Year: 2012

Over the years, there have been several major software disasters, resulting from poor software project management, poor risk assessment, and poor development and testing practices. The results of the disasters range from project delays, project cancelations, loss of millions of dollars of equipment, to human fatalities. It is important to study software disasters, to alert developers and testers to be ever vigilant, and to understand that huge catastrophes can arise from what seem like small problems. This paper examines such failures as the Mars Polar Lander, the Patriot missile, and the Therac‐25 radiation deaths. The focus of the paper is on the factors that led to these problems, an analysis of the problems, and the lessons to be learned that relate to software engineering, safety engineering, government and corporate regulations, and oversight by users of the systems. A model named STAMP, Systems‐Theoretic Accident Modeling and Process, will be introduced, as a model to analyze these types of accidents. This model is based on systems theory, where the focus is on systems taken as a whole, as opposed to traditional failure‐event models where the parts are examined separately. It is by understanding the past, that we can improve the future. Copyright © 2010 John Wiley & Sons, Ltd.
The management consultancy as vector of the innovation
Authors: Rafael Humberto Soler González; Narda Navarro Mosquera
Year: 2020

The objective of this work is to investigate the particularities of a business consultancy and take as a case the design of a strategic planning using different tools and models that are part of the style and competence of the consultant who executes the process of technology transfers in pos of improving the administration of a company. The article is elaborated from the vision of a consultant who will design and implement strategic planning and exposes a methodology that emphasizes network theory and other tools to minimize intangibilities while still taking into account the academic principles that always they exist in these learning processes. The study material uses the experiences of a review exercise of the business plan of a project management company that decided to change its management model and as a final result, a Strategic Direction was obtained from the consulting process.
Does the Role Matter? An Investigation of the Code Quality of Casual Contributors in GitHub
Authors: Yao Lu; Xinjun Mao; Zude Li; Yang Zhang; Tao Wang; Gang Yin
Year: 2016

For popular Open Source Software (OSS) projects there are always a large number of worldwide developers who have been glued to making code contributions, while most of these developers play the role of casual contributors due to their very limited code commits (for fixing defects and enhancing features, casually). The frequent turnover of such group of casual developers and the wide variations among their coding experiences challenge the project management on code and quality.This paper describes a case study which aims to estimate the quality of code made by casual contributors in 21 popular GitHub projects. The results of this case study show that: (1) casual contributors introduced greater quantity and severity of Code Quality Issues (CQIs) than main contributors; (2) developers who contribute in different projects as main and casual contributors didn't perform statistically differently in terms of code quality; (3) casual contributors who have few project stars introduced more CQIs than those who have many. Furthermore, the paper lists the CQI categories which are most frequently introduced by casual contributors in the investigated projects. These findings provide valuable insights into code quality in the OSS context, and can guide OSS developers in improving the quality of the code contributions.