Project Quality Management Research Articles

QUALITY MANAGEMENT IN HIGH-TECH PROJECTS USING DIGITAL MARKETING TECHNOLOGIES IN KAZAKHSTAN

The purpose of this article is to determine the contribution of digital marketing technologies to improving the quality of high-tech products in Kazakhstan, as well as to identify prospects for improving quality management practices in high-tech projects in Kazakhstan using a digital approach to marketing. Based on international statistics from IMD and WIPO for 2013–2022, using the correlation analysis method, the results of implementing high-tech projects in quality management using alternative approaches (digital and pre-digital) to marketing in Kazakhstan are compared. The key conclusion is that in Kazakhstan, quality management in high-tech projects using digital marketing technologies is preferable. The key ones are: personnel marketing, product marketing and process marketing. The theoretical significance of the obtained results is that they allowed us to rethink quality management processes in the implementation of high-tech projects in the digital economy of Kazakhstan, and also revealed promising digital marketing technologies based on AI, IoT, Big Data, the Internet, mobile devices, chatbots, machine vision, smart consultants and virtual assistants (VR / AR). The practical significance is due to the fact that the developed digital approach to marketing allows us to improve the practice of quality management in high-tech projects in Kazakhstan. The author's approach includes a marketing mix of quality management in high-tech projects using digital marketing technologies in Kazakhstan. The approach also reveals the organizational and technological aspects of quality management in high-tech projects in Kazakhstan with a digital approach to marketing.

Research on risk management of ship maintenance projects based on multi agent swarm model simulation method

In recent years, the role of naval ship power has become increasingly prominent in regional conflicts and military operations worldwide, and the powerful capabilities demonstrated by naval forces have also been valued by countries around the world. While naval forces are frequently deployed to carry out various tasks, the intensity of equipment wear and tear on ships is also significantly increasing, posing a huge challenge to the maintenance and support capabilities of ship equipment. In the actual process of ship equipment maintenance, a series of risk factors such as cost, schedule, and quality will have a significant impact on the entire ship maintenance project, and even affect the success or failure of the entire project. This article first decomposes the project process of ship maintenance projects, further analyzes the various risk factors of ship maintenance projects based on the project decomposition situation, and then distinguishes the overall project, project process, and project risk factors to establish an intelligent agent group model for simulation analysis. Through the above simulation analysis, we will conduct in-depth research on the specific impact of project risks on ship maintenance projects, and analyze and verify the positive role and practical significance of project risk management in project risk control and project efficiency improvement. In the process of the above research content, methods and measures for risk management of ship maintenance projects are proposed, providing scientific and efficient risk management suggestions for such projects, improving the scientific management efficiency of ship maintenance projects, and contributing to the improvement of the quality and efficiency of project management.

Effect of Project Quality Management on Performance of School Feeding Programmes in Rwanda: A Case Study of Kanombe Sector Twelve Years Basic Education

Effect of Project Quality Management on Performance of School Feeding Programmes in Rwanda: A Case Study of Kanombe Sector Twelve Years Basic Education

Project Management Knowledge Analysis – A Case of Symptom Checker Development Project

Over the past years, emerging technologies have always been crucial for organizations from various industries. Several organizations have implemented new technologies to serve customers’ needs better and be more competitive in the market. Healthcare services are also one of the industries that need to stay up to date with recent technologies. Therefore, they can apply these technologies to their information systems projects. This paper aims to discuss a case of symptom checker development project carried out in a hospital in Thailand. Project management knowledge areas applied in the project are also identified from the activities performed in the project. Moreover, the main problems that occurred during the project were addressed along with the recommendations for solving the problems. The findings suggest that organizations apply only some project management knowledge areas from the framework. Those are project scope management, project procurement management, project integration management, project schedule management, project quality management, and project communication management.

Criteria determination for selecting a projects management information system

The object of research is the process of selecting a project management information system. When selecting a PMIS for the customer organization, there is a need for a specific methodology to formalize the selection stages. The main existing selection methods and their criteria do not provide sufficient and objective information for selecting a PMIS. This research aims to develop a model and method based on it to systematize this process and ensure an objective and rational choice of PMIS, which in turn enhances the productivity and quality of project management. The method of analytic hierarchy process and a developed model are chosen as the basis for developing the method for selecting PMIS. The developed method consists of five stages: determining the basic assessments of PMIS criteria and their weights using experts; determining the assessment of PMIS sub-criteria; determining the global weight of the criteria; evaluating alternatives for each sub-criterion; and selecting the best alternative. An experimental verification of the developed model and method was conducted by creating a web application for data collection and processing within the considered stages. Python and specific libraries that enable the integration of the developed model and method into the company's website were used to develop the information technology. The obtained results demonstrate the feasibility of the chosen criteria in evaluating alternative PMIS by the customer using the formed model and method.

Identifying environmental impacts on planktonic algal proliferation and associated risks: a five-year observation study in Danjiangkou Reservoir, China

Understanding the risks of planktonic algal proliferation and its environmental causes is crucial for protecting water quality and controlling ecological risks. Reservoirs, due to the characteristics of slow flow rates and long hydraulic retention times, are more prone to eutrophication and algal proliferation. Chlorophyll-a (Chl-a) serves as an indicator of planktonic algal biomass. Exploring the intricate interactions and driving mechanisms between Chl-a and the water environment, and the potential risks of algal blooms, is crucial for ensuring the ecological safety of reservoirs and the health of water users. This study focused on the Danjiangkou Reservoir (DJKR), the core water source of the Middle Route of the South-to-North Water Diversion Project of China (MRSNWDPC). The multivariate statistical methods and structural equation modeling were used to explore the relationships between chlorophyll-a (Chl-a) contents and water quality factors and understand the driving mechanisms affecting Chl-a variations. The Copula function and Bayesian theory were combined to analyze the risk of changes in Chl-a concentrations at Taocha (TC) station, which is the core water source intake point of the MRSNWDPC. The results showed that the factors driving planktonic algal proliferation were spatially heterogeneous. The main factors affecting Chl-a concentrations in Dan Reservoir (DR) were water physicochemical factors (water temperature, dissolved oxygen, pH value, and turbidity) with a total contribution rate of 60.18%, whereas those in Han Reservoir (HR) were nutrient factors (total nitrogen, total phosphorus, and ammonia nitrogen) with a total contribution rate of 73.58%. In TC, the main factors were water physicochemical factors (turbidity, pH, and water temperature) and nutrient factors (total phosphorus) with total contribution rates of 39.76% and 45.78%, respectively. When Chl-a concentrations in other areas of the DJKR ranged from the minimum to the uppermost quartile, the probabilities that Chl-a concentrations at the TC station exceeded 3.4 μg/L (the benchmark value of Chl-a for lakes in the central-eastern lake area of China) owing to the influence of these areas were all less than 10%. Thus, the risk of planktonic algal proliferation at the MRSNWDPC intake point is low. This study developed an integrated framework to investigate spatiotemporal changes in algal proliferation and their driving factors in reservoirs, which can be used to support water quality management in mega hydro projects.

Inovasi Perencanaan Keuangan menggunakan Artificial Intelligence (AI) Click Up pada UMKM Chibi-chibi Mochi

This community service aims to innovate Artificial Intelligence (AI) financial planning using the ClickUp application to improve the quality of project management, especially budgeting, thereby increasing efficiency, productivity, and better decision-making so that these MSMEs can be highly competitive in the fintech era. Artificial intelligence is a system in a machine that imitates the way humans think and act (human intelligence). One of a computer science related to the development that can imitate human expertise in carrying out certain tasks is Artificial Intelligence (AI) (Nurcholis, 2023). The program carried out is training and mentoring so that financial planning is more innovative, economical, practical, easily accessible, and has minimal errors. The problem faced by business actors is financial planning that has not been implemented properly so business targets and income targets are often not achieved. This has an impact on the sustainability of the Chibi-Chibi Mochi MSME business in the era of competition. The solution to the problem is that the community service team will provide training and mentoring on financial planning innovation using Artificial Intelligence (AI) ClickUp. The output targets to be achieved are in the form of journal publications and increasing the understanding and skills of business actors.

Enhancing Quality Management of PHC Piles through Improved Driving Formulas: A Comprehensive Review and Analysis

In construction projects, conducting dynamic load tests on all piles proves impractical. Selective testing estimates bearing capacity, while the remaining piles rely on penetration depth for management. This approach, however, faces reliability issues due to varying conditions among piles. Technological advancements, such as non-contact hammers and sensors, have enhanced the accuracy of penetration depth measurements during final driving. Nonetheless, relying solely on penetration depth for construction and quality management remains problematic. This study, therefore, focuses on enhancing the use of driving formulas to improve pile quality management, particularly for the widely used pre-stressed high-strength concrete (PHC) piles. To improve pile quality management, existing driving formulas underwent review and refinement. Utilizing 258 dynamic load test data from various sites, the Hiley, Gates, and Danish formulas underwent validation through statistical analysis and graphical comparison. Enhancements to the Gates formula, achieved through curve fitting with actual data and the application of segment-based coefficients, demonstrated increased accuracy in bearing capacity estimation. These improvements offer a more reliable approach to pile quality management in construction projects.

Putting a decommissioning programme into action: an interview study with politicians and public servants in a local healthcare organisation

PurposeA local healthcare organisation providing healthcare to 288,000 residents in Sweden struggled with a longstanding budget deficit. Several attempts to overcome the demanding financial situation have failed. A decommissioning programme was launched, and two years later, an evaluation indicated positive outcomes. The aim of this study was to explore factors politicians and public servants perceived as enablers to the successful implementation of the programme.Design/methodology/approachA deductive content analysis approach using a framework of factors facilitating successful implementation of decommissioning decisions was applied to analyse interviews with 18 informants.FindingsImportant factors were: (1) a review report contributing to the clarity of evidence, which (2) made the clarity of the rationale for change undeniable and (3) strengthened the political support for change. Additional factors were: (4) the strength of executive leadership, (5) the strength of clinical leadership supported by (6) the quality of project management and (7) a cultural and behavioural change seen as an important outcome for the path forward. A way to maximise the potential for a successful implementation of a large-scale decommissioning programme is to build a shared vision and a collaboration grounded in convincing evidence. Include public servants with a clinical background in the executive leadership team to contribute with legitimacy, competence, and trust in the decommissioning programme’s intention.Originality/valueThe paper addresses the limited knowledge of best practices in decommissioning processes and contributes empirical knowledge from a successful case.

Competitiveness of Business Projects in Service Sector

Competitiveness is one of major indicators of entrepreneurial activity, which shows prospects of further development and feasibility to reach strategic goals and objectives. The article studies factors affecting competitiveness of business projects functioning in the service sphere. They are as follows: quality of services, unique nature of services, price offer, skilled workers, level of customer services, availability of advanced technologies, accessibility of services, possibility of rendering extra services, access to financing, partner relations, optimization of processes, digitalization, quality of business project management, risk management. The author researches their impact on services rendered in digital and off-line format. The model put forward in the article can be used by entrepreneurs to develop steps aimed at raising competitiveness of business.

The Relationship of Total Quality Management Practices and Project Performance with Risk Management as Mediator: A Study of East Coast Rail Link Project in Malaysia

The study’s main aim is to investigate the relationship between the influence of effective risk management as a mediator among the relationship of Total Quality Management (TQM) practices and project performance in the East Coast Rail Link (ECRL) project in Malaysia. The problem statement on the implementation and barriers of TQM practices with risk management as a mediator would affect the project performance in terms of cost, delay, safety issues, QAQC, and project sustainability. The Multivariate Analysis was performed using SPSS ver27 software. Results of hypotheses indicated that relationships between human resource management and service quality were insignificant while relationships between process management, technology, leadership, and strategic planning were significant to project performance. Furthermore, risk management as a mediator was found to influence the relationships. The results indicated that adopting relevant dimensions of the TQM practices can enhance the project performance in construction projects.

Quality Management in Construction Projects

Quality Management in Construction Projects

Implementation of Wayfinding Signage in Public Hospitals and Its Evaluation Towards Quality Improvement.

The study aims to evaluate the multi-lingual signage system in the hospital and recommend suggestions. Wayfinding or the signage work was undertaken as a Total Quality Management (TQM) Project in the study setting, conducted over 36 months. The effectiveness of the signage system was evaluated using a questionnaire-based survey among the patients, attendants, and other visitors. Color-coded multilingual signage installed in the hospital block and its surrounding areas included the naming of various areas, way-finding, and safety signage. The most difficult areas to find were ICUs (35.6%), OT (31.1%), and laboratories (31.1%). Additionally, 98% of the participants could reach their desired destination but had to double-check with the staff. It was evident from the study that hospital signage plays a crucial role in hospitals by improving wayfinding, enhancing the patient experience, and promoting safety and emergency preparedness. Signage also indirectly contributes to better patient care. In large teaching hospitals, human assistance is also necessary for wayfinding.

Hybrid Data Augmentation for Enhanced Crack Detection in Building Construction

Quality management in construction projects necessitates early defect detection, traditionally conducted manually by supervisors, resulting in inefficiencies and human errors. Addressing this challenge, research has delved into automating defect detection using computer vision technology, yet progress has been impeded by data limitations. Numerous studies have explored generating virtual images to tackle this issue. However, these endeavors have fallen short in providing image data adaptable to detecting defects amidst evolving on-site construction conditions. This study aims to surmount this obstacle by constructing a hybrid dataset that amalgamates virtual image data with real-world data, thereby enhancing the accuracy of deep learning models. Virtual images and mask images for the model are concurrently generated through a 3D virtual environment and automatic rendering algorithm. Virtual image data are built by employing a developed annotation system to automatically annotate through mask images. This method improved efficiency by automating the process from virtual image creation to annotation. Furthermore, this research has employed a hierarchical classification system in generating virtual image datasets to reflect the different types of defects that can occur. Experimental findings demonstrate that the hybrid datasets enhanced the F1-Score by 4.4%, from 0.4154 to 0.4329, compared to virtual images alone, and by 10%, from 0.4499 to 0.4990, compared to sole reliance on real image augmentation, underscoring its superiority. This investigation contributes to unmanned, automated quality inspection aligning with smart construction management, potentially bolstering productivity in the construction industry.

Assessing Approaches to Strengthen Monitoring and Evaluation in Development Projects: Evidence from Donor-Funded Projects in Machakos County, Kenya

Monitoring and Evaluation improves the quality of programme or project management since it provides information on how results namely outcomes, outputs and impact are achieved and assesses the effectiveness, relevance, coherence, efficiency, impact and sustainability of specific development interventions. The objectives of the study were to examine the influence of participatory monitoring and evaluation among development project teams in Machakos County and to assess the influence of M & E as a learning tool on implementation of development projects in Machakos County, Kenya. The study was guided by the Theory of Change which describes how particular interventions or sets of interventions lead to specific changes. The target population of this study was 102 programme staff implementing donor-funded projects. A census was done and therefore the target group formed the sample for the study. Primary data sources used were key informant interviews and a survey questionnaire. Quantitative data was analyzed in SPSS Version 28 and qualitative data was thematically analyzed. According to the survey results, 58.2% agreed that the involvement of all relevant project stakeholders during the preliminary stages of project design strengthens M&E. The survey results showed that 49.45% of the respondents agreed that project planning reflected the various community needs and supported decision-making processes during project implementation. A majority (58.23%) agreed that feedback from various stakeholders was often incorporated and used to strengthen the delivery of various project activities informant interviews. Majority of the survey respondents (72%) indicated that learning is integral to ensuring M&E is effective and project teams can learn immensely from M & E. A majority (71%) agreed that project teams feared participating in M&E activities due to fear that it could be used against them. The findings show that the involvement of stakeholders in project design and implementation directly influenced successful project M & E. The study recommended involving relevant parties and stakeholders in a project since this influences its implementation and M & E among donor-funded development projects. Project managers need to put in place incentives for project teams to learn not just for reporting to funding agencies but for the benefit of internal learning among project teams.

Power-Carbon Information Management System Based on Machine Learning

With the deepening reform of the power market and carbon market, great progress has been made in informatization. Power information may be stored in many scattered places, and it is difficult to share data between different departments or systems. This leads to fragmentation and redundancy of information and makes information exchange difficult. Blockchain can improve the reliability of Power-Carbon Management System (briefly described as PCMS for convenience) data processing. PCMS informatization has become the basis for improving the quality and efficiency of project management and maximizing the environmental and economic benefits of the project. Because the power information management system can effectively control the flow of information and resource allocation. Due to the requirement of low-carbon and stable power production, PCMS attaches great importance to the application and implementation of information in power management, but does not attach enough importance to the informatization of power production management. Therefore, this paper analyzed the current situation, characteristics and existing problems of PCMS through machine learning algorithm, then constructed the design principles, and finally proposed the optimization path of PCMS according to the principles. The information collection ability and system control ability of the optimized PCMS were better than the original PCMS. The information collection ability was 14.2% higher than the original, and the system control ability was 9.8% higher than the original. In general, both blockchain and machine learning can improve the data reliability of PCMS.

Research on the application of BIM technology in intelligent building technology

With the continuous progress of society and science, building technology is also developing in the direction of intelligence, and the introduction of BIM technology has greatly promoted the development of intelligent buildings in China. The application of BIM technology in the field of intelligent construction is of great significance. It optimises project quality management, accelerates the building delivery process, and improves the operation and maintenance management efficiency of buildings. It is foreseeable that with the arrival of the intelligent era, BIM technology will continue to play an important role and bring more opportunities and challenges to the construction industry. Relevant practitioners should also actively learn and apply this technology to promote the development of the construction industry. This paper is based on a number of typical engineering cases, analyses a large number of existing literature, and reads various working reports and policies issued by the government. It introduces the role of BIM technology in project quality management, intelligent construction delivery and operation and maintenance management, with a view to providing reference for relevant practitioners.

Estimating the influence of research and development expenditures on the income of companies revenue in the field of engineering of innovative developments under the conditions of changing project management methodology

The choice of project management methodology affects both the implementation of projects and their economic efficiency. Quantitative assessment of such an impact substantiates the relevance of this paper's research topic. The object of the study is the activity of companies in the field of engineering of innovative developments under the conditions of change in project management methodology. The study solved the problem of identifying the impact of research and development costs on the income of companies in the field of innovative development engineering in the context of a change in project management methodology. A change in project management methodology can significantly affect the costs, timelines, and bottom line associated with research and development, and determine their effectiveness in the context of achieving business goals. A change in project management methodology can affect the use of resources allocated for research and development, which ultimately affects the company's performance. Regression analysis was used to determine the impact of changes in project management methodology on the amount of investment in research and development. The results of the study show that the use of project management methodologies, such as Waterfall and Agile, has a positive effect on the quality of project management and financial indicators of companies. Projects implemented according to the Agile methodology are more effective, reducing the number of canceled and closed projects. Both methodologies lead to the successful completion of most projects but the percentage of successfully completed projects with the Waterfall methodology is higher than with Agile. The use of Agile makes it possible to achieve a significant reduction in the terms of project implementation and improve the efficiency of costs and resources. The results can be used by companies at the stage of choosing a project management methodology to decide on the implementation of the Waterfall or Agile methodology

Interrater reliability of the Fugl-Meyer Motor assessment in stroke patients: a quality management project within the ESTREL study.

The Fugl-Meyer Motor Assessment (FMMA) is recommended for evaluating stroke motor recovery in clinical practice and research. However, its widespread use requires refined reliability data, particularly across different health professions. We therefore investigated the interrater reliability of the FMMA scored by a physical therapist and a physician using video recordings of stroke patients. The FMMA videos of 50 individuals 3 months post stroke (28 females, mean age 71.64 years, median National Institutes of Health Stroke Scale score 3.00) participating in the ESTREL trial (Enhancement of Stroke Rehabilitation with Levodopa: a randomized placebo-controlled trial) were independently scored by two experienced assessors (i.e., a physical therapist and a physician) with specific training to ensure consistency. As primary endpoint, the interrater reliability was calculated for the total scores of the entire FMMA and the total scores of the FMMA for the upper and lower extremities using intraclass correlation coefficients (ICC). In addition, Spearman's rank order correlation coefficients (Spearman's rho) were calculated for the total score and subscale levels. Secondary endpoints included the FMMA item scores using percentage agreement, weighted Cohen's kappa coefficients, and Gwet's AC1/AC2 coefficients. ICCs were 0.98 (95% confidence intervals (CI) 0.96-0.99) for the total scores of the entire FMMA, 0.98 (95% CI 0.96-0.99) for the total scores of the FMMA for the upper extremity, and 0.85 (95% CI 0.70-0.92) for the total scores of the FMMA for the lower extremity. Spearman's rho ranged from 0.61 to 0.94 for total and subscale scores. The interrater reliability at the item level of the FMMA showed (i) percentage agreement values with a median of 77% (range 44-100%), (ii) weighted Cohen's kappa coefficients with a median of 0.69 (range 0.00-0.98) and (iii) Gwet's AC1/AC2 coefficients with a median of 0.84 (range 0.42-0.98). The FMMA appears to be a highly reliable measuring instrument at the overall score level for assessors from different health professions. The FMMA total scores seem to be suitable for the quantitative measurement of stroke recovery in both clinical practice and research, although there is potential for improvement at the item level.

Enhancing project quality through effective team management

This study aims to explore the relationship between team management and project quality, identify key contributing factors, and examine the role of employee involvement, commitment, and innovation. An empirical, cross-sectional study was conducted using an online survey to gather data from 510 respondents across various industries, projects, and experiences. Data analysis employed statistical techniques to reveal patterns and trends. Key factors contributing to project success include communication, comprehensive planning, clear roles and responsibilities, stakeholder requirements, and a supportive work environment. The significance of proper management approaches, techniques, and attitudes was also highlighted. The findings contribute to the current body of knowledge on project quality management and emphasize the need for a human-centered management approach to achieve high-quality project outcomes. This study sheds light on the pivotal role of effective team management in project quality, providing valuable insights and recommendations for project managers, team leaders, and organizations seeking to improve project performance.