Quality Management Capabilities Research Articles

Mathematical Model to Evaluate the Effect of Information Quality, and Management Capability on Hospital Performance

Introduction:The objective of this study is to make active interaction among actual and theoretical outcomes of the view of 100 medical staff and medical supervisors of the university hospital and to study and analyze the effect of important parameters (quality information, employee trust, employee engagement, and management capability) on the hospital performance using the proposed mathematical model. Methods:Primary data were collected from the highest-level medical job position in a hospital (medical doctors, head of the medical department, and medical supervisors). Using convenient sampling, the proposed mathematical model represents the input parameters as information quality, employee trust, employee engagement, and management capability, and output parameters for hospital performance dimensions as output. Results:The identification system depends on the actual outcomes to evaluate the effects of information quality (IQ), employee trust (ET), employee engagement (EM), and management capability (MC) against hospital performance were 60.032%, 43.428%, 78.186%, and 62.817%, respectively. Conclusions:The derived mathematical model has a high accuracy to represent all the active parameters of the system and optimize the conditions to produce high outcomes

Determinants of Final Project Commercialization among Movies and Art Students: Moderating Impact of Socioeconomic and Education Disparities

Background and Purpose: This research has designed the main objective to elucidate the role of different commercialization capabilities (competitive intelligence capabilities, knowledge management capabilities and quality management capabilities) in predicting the creative ideation of art and movie students. Additionally, the moderating impact of socioeconomic status and education disparities is also considered in the conceptual framework. Methodology: This study was conducted within the context of China and the art and movies students were assessed using random sampling. A self-structured questionnaire was distributed and quantitative data through closed-ended questions was gathered from the target population. The main analysis technique was the Partial Least Square Structural Equational Modelling PLS-SEM in the Smart PLS application. Findings: With the bootstrapping method, the analysis results depicted the significant and positive influence of commercialization capabilities (including competitive intelligence capabilities, knowledge management capabilities and quality management capabilities) and creative ideation among the art students. Conclusion and Implications: The education disparities suggested a significant external role in influencing the association between commercialization capabilities and creative ideation. With these findings, this study has made a novel contribution to the knowledge field by sharing the perceptions of art and movie students and enlightening their reflections regarding the commercialization of their projects and subjective hard work.

DATA-DRIVEN TRANSFORMATION: OPTIMIZING ENTERPRISE FINANCIAL MANAGEMENT AND DECISION-MAKING WITH BIG DATA

This study explores the transformative impact of big data on enterprise financial management, highlighting significant improvements in decision-making efficiency, data quality, and risk management capabilities. Through a mixed-methods approach that includes meta-analysis, surveys, interviews, and case studies, the research reveals a substantial increase in decision-making efficiency, better integration of diverse data sources, and more accurate financial reporting. Practical benefits such as reduced data processing times and improved credit risk assessments are identified, alongside challenges like the skill gap in data science, cultural resistance, and technical difficulties in integrating new technologies with legacy systems. Addressing these challenges requires strategic leadership, continuous training, and investment in scalable infrastructure. Despite these hurdles, the long-term advantages of big data adoption, including enhanced financial reporting and resource allocation, underscore its value in driving organizational performance and competitiveness. This study provides empirical evidence and practical insights, offering a valuable foundation for organizations aiming to leverage big data in their financial management practices.

Evaluation of the support capability of the launch power system propellant based on G1-EW two-dimensional cloud model

Due to technical limitations and the characteristics of the launch power system propellant, its support capability is affected by many factors and links. In the process of mission support, it is necessary to consider both its quality characteristics and the safety during the support process, which bring difficulties to the accuracy of its support capability evaluation. In this regard, the evaluation indexes system is constructed according to the requirements of total quality management theory, process safety management theory and equipment support characteristics. In the process of setting the indexes system, the technique for order preference by similarity to an ideal solution method (TOPSIS method) is used to screen the indexes to make indexes setting more scientific. The subjective weights obtained by the order relation analysis method (G1 method) and the objective weights obtained by the entropy weight method (EW method) are combined by the game theory combination weighting method to obtain the indexes combination weights, which reduce the error of weight calculation. The two-dimensional cloud model is used to evaluate support capability of the launch power system propellant from the two dimensions of quality management capability and safety management capability, which can reflect the support capability more comprehensively and accurately. Through example verification, the closeness of support capability of the launch power system propellant to the evaluation grades of ‘excellent’, ‘good’, ‘average’, ‘poor’ and ‘very poor’ is calculated to be 0.2333, 5.1169, 0.3579, 0.1821 and 0.1041, respectively, indicating that the evaluation results are closer to good. Finally, compared with the existing one-dimensional cloud model evaluation method, the superiority of this research method is highlighted, which has a certain guiding role in improving its support capability.

COBIT 2019 Framework: Evaluating Knowledge and Quality Management Capabilities in a Printing Machine Distributor

COBIT 2019 Framework: Evaluating Knowledge and Quality Management Capabilities in a Printing Machine Distributor

Evaluating Surface Water Nitrogen Pollution via Visual Clustering in Megacity Chengdu

The current standards used for nitrogen pollution evaluation are lacking, and scientific classification methods are needed for nitrogen pollution to improve water quality management capabilities. This study addresses the important issue of assessing surface water nitrogen pollution by utilizing two advanced multivariate statistical techniques: self-organizing maps (SOMs) obtained using the K-means algorithm and the Hasse diagram technique (HDT). The research targets of this study are the rivers of the megacity Chengdu, China. Samples were collected on a monthly basis in 2017–2020 from different sites along the rivers, and their nitrogen pollution parameters were determined. The grouping of nitrogen pollution parameters and the clustering of sampling events using SOMs facilitate the preprocessing required for the HDT, wherein clusters are ordered according to the pre-clustered water sampling events. The results indicate that nitrogen pollution in the Chengdu River Basin, which is prominent and mainly driven by nitrate nitrogen, can be categorized into five levels. The nitrogen pollution in Tuo River is serious. Although the degree of ammonia nitrogen pollution in Jin River is higher, the pollution range is smaller. Furthermore, these results were evaluated by the SOMs and HDT to be clear and reliable. Overall, these findings can provide a basis for local environmental legislation.

Economic Benefits of Integrating Supply Chain in the Electricity Sub-Sector in Kenya

Purpose: With a declining purchasing power, ravage by calamities and unfavourable political environment, the electricity sub-sector in Africa has witnessed dwindling fortunes in the recent past. Although average access to electricity in the region has been rising steadily, tariffs have been increasing while government tariffs subsidies have become unsustainable, forcing an introspection, to turn the tides. This article investigated the relationship between integrated logistics systems in supply chain management and business economic benefits in the electricity subsector in Kenya. The resource-based view theory of competitive advantage and the institutional theory of systems and structures were used to address the role of integrated logistics systems as a major driver of competitiveness in supply chain activities.
 Methodology: Descriptive research design and regression analysis were applied to ascertain the association between quality management practices, resource activation, and capability level on one hand and business economic benefits (BEB) in form of customer satisfaction, cost reduction, and cycle time reduction on the other.
 Findings: The results indicate that there is significant statistical relationship between integrated logistics systems and overall performance in the energy sub-sector in Kenya. Specifically; quality management practice, resource activation level and capability levels positively and significantly influence cycle time reduction; quality management practice and resource activation level positively and significantly influence quality of customer satisfaction in a firm's operations. The overall regression model is of the form: P =5065 + 604Q +155R +74C, where P is overall performance; Q is quality management practice; R is resource activation level and C is capability level. Therefore integrated logistics systems are an imperative component of supply chain as it accrues overall business economic benefits in, inventory management, customer satisfaction, and efficacy in business operations. Integrated logistics systems enhances a firm's competitiveness and facilitates the attainment of competitive advantage. Investing in integrated logistics systems should therefore be a top priority for firms keen on growth.
 Unique contribution to theory, practice and policy: The research expands knowledge in the growing logistics and supply chain integration sphere in the service industry and beyond. It acts as a benchmark for further studies in the electricity subsector and other segments of the economy to inform policy and decision-making. The study calls for firms to embrace integrated logistics systems and invest in training and capacity building for its personnel to catalyze firm and customer value.

Research on Comprehensive Control of Power Quality of Port Distribution Network Considering Large-Scale Access of Shore Power Load

In view of the problem of power quality degradation of port distribution network after the large-scale application of shore power load, a method of power quality management of port distribution network is proposed. Based on the objective function of the best power quality management effect and the smallest investment cost of the management device, the optimization model of power quality management in the distribution network after the large-scale application of large-capacity shore power is constructed. Based on the balance between the economic demand of distribution network resources optimization and power quality management capability, the power quality of distribution network is considered comprehensively. The proposed optimization algorithm for power quality management based on Matlab and OpenDSS is proposed and analyzed for port distribution networks. The simulation results show that the proposed optimization method can maximize the power quality management capability of the port distribution network, and the proposed optimization algorithm has good convergence and global optimization finding capability.

Improve Organizational Performance by Implementing the Dimensions of Total Quality Management with Respect to the Mediating Role of Organizational Innovation Capability

Abstract The results of the research show that the implementation of total quality management can improve processes and public participation in doing the best work in the organization, which in turn can increase market share, increase profits, increase product sales, reduce Waste and rework have a positive effect. The purpose of this study was to investigate the effect of total quality management on organizational performance with respect to the mediating role of organizational innovation capability in Iran Khodro Company. The present study was applied based on the purpose and survey-correlational in terms of data collection. Accordingly, after studying the theoretical foundations and research background in the field of total quality management, organizational performance and organizational innovation capability, effective dimensions were identified and introduced in the form of a conceptual model. The statistical sample of this research consisted of 222 middle managers of Iran Khodro Company’s headquarters. A researcher-made questionnaire was used to collect research data, the validity and reliability of which were confirmed. In order to fit the conceptual model of the research and test the research hypotheses, the structural equation modeling method was used in Smart PLS software. The results of testing research hypotheses showed that the dimensions of total quality management (hard quality management and soft quality management) have a positive and significant effect on organizational performance and organizational innovation capability. Organizational, the organizational innovation capability variable has an influential mediating role.

Managerial Recommendations Improving the Competitive Capability of Firms Based on Total Quality Management during Covid-19 Pandemic

In 2021, the COVID-19 epidemic affected many aspects of the provinces' socio-economic fields, especially deeply affecting businesses at enterprises. The task of ensuring social security continues with the management agencies, who need appropriate solutions and support policies to encourage and help enterprises return to production and trade after the quarantine society quickly. The basis for management theory has contributed to improving the competitive capability based on improving Total Quality Management (TQM), such as the "just in time" system. TQM aims to enhance the quality of products and satisfy customers to the best extent possible. The distinguishing feature of TQM from previous quality management methods is that it provides a comprehensive system for managing and improving all aspects related to quality and involves the participation of the public, every department, and every individual to achieve the set quality goals. The article's novelty identifies factors influencing total quality management and competitive capability of firms in Vietnam with one percent significance. Methods: The authors surveyed 650 managers at many enterprises in Vietnam. And the authors used a convenient sampling method. SPSS tools processed 589 samples to measure Cronbach's alpha, exploratory factor analysis (EFA), confirmation factor analysis (CFA), and test structural equation modeling (SEM). The authors proposed several recommendations to enhance the total quality management and competitive capability of firms. Doi: 10.28991/ESJ-2022-06-03-010 Full Text: PDF

Distributed Double-Layer Control for Coordination of Multiplatoons Approaching Road Restriction in the Presence of IoV Communication Delays

Internet of Vehicle (IoV) has become a hot topic in the last years due to its significant benefits in transportation systems in terms of quality, costs, and traffic management capability. Indeed, accurate and real-time information acquisition and diffusion are required to reach an efficient traffic management system according to the smart city paradigm. In this context, this article provides a novel IoV-based distributed double layer control architecture to address the coordination control problem of connected autonomous vehicles (CAVs) multiple platoons negotiating the access to a road section restriction in the presence of heterogeneous communication time-varying delays. To this aim, leveraging the IoV paradigm and the equivalent virtual formation concept, we propose a novel distributed diffusive longitudinal protocol and a distributed lateral potential-function-based control strategy, where both of them are able to cope with communication delays and ensuring the multiplatoon coordination in finite time, i.e., before accessing the road section restrictions, so to avoid vehicles collisions. The finite-time stability of both the cooperative controllers is analytically proved by exploiting the Lyapunov–Krasovskii theory and the derived delay-dependent stability conditions, expressed as a set of linear matrix inequalities (LMIs), allows the proper tuning of the controllers gains. Numerical analysis confirms the theoretical derivation and discloses the effectiveness and the robustness of the proposed cooperative multiplatoon control in ensuring the safe crossing of the road section restriction in finite time.

Environment and Energy? The Impact of Environmental Management Systems on Energy Efficiency

Problem definition: Despite the widespread adoption of environmental management systems (EMS), their relationship with energy efficiency remains unclear. This study investigates whether and how EMS adoption lowers energy efficiency and, if so, how to mitigate the impact. Academic/practical relevance: Understanding the relationship between EMS and energy efficiency is important because any decrease in energy efficiency may eventually lead to undesired environmental outputs (e.g., CO2), potentially contributing to climate change. This study sheds light on energy as a necessary input required for environmental management, thereby elucidating the issue of environmental trade-offs in sustainable operations. Methodology: Using novel panel data on energy efficiency and EMS standards obtained from 2,690 South Korean plants operating between 2001 and 2014, this study empirically investigates the impact of EMS on energy efficiency at the plant level. Results: We provide evidence of a trade-off relationship between environmental performance and energy efficiency in relation to EMS adoption. We find that the adoption of ISO 14001, the representative EMS standard, results in approximately 6%–12% lower energy efficiency compared with nonadoption although it effectively reduces air, water, and waste pollution. More importantly, our results show that the trade-off, an unintended consequence of EMS implementation, can be moderated through quality management capability. Managerial implications: We suggest that sustainability managers take balancing actions to reduce trade-offs between environmental performance and energy efficiency. Specifically, when implementing EMS, managers are advised to (1) actively incorporate energy management activities, (2) employ more comprehensive measurements for energy efficiency, and (3) redesign incentive schemes to facilitate improvements in energy efficiency.

PENINGKATAN KUALITAS PRODUK GULA KELAPA SEMUT SEBAGAI PRODUK POTENSI EKSPORT DARI KABUPATEN BANYUMAS

The specific objectives and targets of this PkM activity are; Improving quality control of raw materials and production processes; Product quality improvement; Provision of production equipment facilities in the form of drying ovens to improve production quality and Assistance and improvement of partner business management. The approach used to overcome the problems faced by partners is the method of training, introduction, and application of appropriate technology, counseling and mentoring. The activity plan in the proposed PkM program includes; 1) Training on the technique of making ant sugar, 2) Technical training on using a drying oven, 3) Introduction and transfer of technology in the form of ant sugar drying oven, 4) Assistance in efforts to increase HR competency in terms of financial administration and quality management. The targeted outputs of this PkM activity are 1) The group has machine-based production equipment, 2) The group has better product packaging, 3) The group has more structured quality management capabilities, an established marketing strategy, and more organized financial administration.

The impact of customer knowledge management, TQM and marketing capabilities on product innovation performance of Malaysian SMEs: an empirical study

PurposeSeveral strategies and processes can help companies to enhance the success rate of new products. This study aims to identify a few strategies for that purpose represented by total quality management (TQM) practices, building knowledge and capabilities. Moreover, the current paper discusses the role of applying TQM practices and customer knowledge management in developing the marketing capabilities of the organizations.Design/methodology/approachThis study is a quantitative approach where the data collected from 141 manufacturing small and medium enterprises operating in Malaysia and partial least squares technique was used to test the hypotheses.FindingsThe findings of this study highly support all the proposed hypotheses and establish marketing capabilities as a facilitator in the relationship between TQM practices, customer knowledge management and product innovation performance. However, customer knowledge management and TQM were found not to have an impact on product innovation performance.Originality/valueThe introduced model contributes to enhancing the understanding of the impact of customer knowledge on the success of product innovation performance. The model further includes TQM as a process that helps the organization get customer satisfaction information. The incorporation of these two processes will support the organization’s capabilities in the innovation field.

The mediating roles of knowledge transfer and supply chain quality management capabilities on organisational performance

PurposeThe paper aims to investigate the relationship between supply chain quality management (SCQM) practices and organisational performance as well as the role of knowledge transfer (KT) and SCQM capabilities in mediating the SCQM practices–organisational performance relationship. Precisely, this study tried to examine how effective are SCQM practices in enhancing SCQM capabilities, KT processes and to illuminate the role both of SCQM capabilities and KT processes in improving a firm’s innovation and operational performance (OP).Design/methodology/approachThis paper applied a quantitative method in which data were collected from a survey with 152 firms functioning in the most pollutant manufacturing sectors (i.e. food, construction, chemical and pharmaceutical sectors) in Palestine. The data analysis was conducted using the partial least squares structural equation modelling.FindingsThis paper provides empirical insights into how to enhance organisational performance via SCQM capabilities and KT. In addition, this study contributes to the conceptualisation of SCQM, involving quality combination capability, supply chain responsiveness capability, quality knowledge sharing capability and provides the managers the ability to train themselves regarding the SCQM with its implication.Research limitations/implicationsBecause of the chosen research approach, the research results may lack generalisability. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications – this paper includes implications for the improvement of SCQM capabilities, the manufacturing organisations should concentrate on establishing modern information technology.Practical implicationsThis paper includes implications for the improvement of SCQM capabilities, the manufacturing organisations should concentrate on establishing modern information technology.Originality/valueThis paper proposes a conceptual framework that tests the combined effect of SCQM practices, SCQM capabilities and KT on innovation and OP from a developing country perspective.

ANALYSIS OF FLEXIBLE METHODOLOGIES OF SOFTWARE DEVELOPMENT FOR IMPLEMENTATION IN TEAM PROJECTS

The materials of the article analyze the main models of the software life cycle, which underlie the flexible methodologies of software development to identify the features of its application during the implementation of team projects. It was found that the use of classical life cycle models, in particular, cascade, spiral, incremental, V-shaped and iterative, is not effective in implementing all modern aspects of software development based on the use of new information technologies. It was conducted the comparative analysis of the most popular flexible methodologies of software development Agile, Scrum, Kanban, RUP, DSDM, RAD on such indicators as life cycle model, number of iterations, purpose of project creation and types of projects for implementation, priorities, possibility of interaction with the customer, adaptation to change. The advantages and disadvantages of flexible software development methodologies made it possible to single out the MSF methodology, which is based on the harmonization of cascading, spiral and iterative models of the software development lifecycle and allows you to choose the Scrum template as the most successful for implementing and demonstrating work in team development projects. MSF uses an approach that involves the gradual creation of a working product with some functionality that reflects the requirements for the final product at this stage. It is proposed to use Microsoft solutions based on Visual Studio and Team Foundation Server for centralized management of team project elements, use of visual architecture modeling tools, code quality management capabilities and obtaining all project team members up-to-date information on project status. This is because the MSF model combines five following main models: team model; process model (sequence of actions required to build a team project); discipline of project management (provides comprehensive planning of all stages of the team project, budget management, resources, costs, scheduling); risk management disciplines and readiness management disciplines (assessment of team project members' knowledge for further distribution of team roles). The article demonstrates an example of creating a training team project based on the use of the Scrum flexible methodology template in Visual Studio based on Team Foundation Server.

Improving food safety through data pattern discovery in a sensor-based monitoring system

Increased digitalization has enabled firms to better monitor and improve operations to meet the increasing demands of food safety. Sensor-based monitoring systems are widely adopted by food producers to improve quality management and facility monitoring capabilities. However, existing studies on data mining in food safety applications are typically focussed on the development of standalone models; thereby tasking users with high levels of manual data input or requiring extensive, customer-specific post model implementation endeavour. To address the existing gap, this paper proposes a transferable association rule model that enables scalability with actionable information and data insight. The model was developed using the CRISP-DM framework with datasets of more than 4000 alarm entries from a global fast food franchise. The proposed integrated system is capable of providing reliable visual information for multiple managers to monitor their respective quality performance. This study contributes to the existing body of knowledge by providing empirical insights in the context of digitalisation and food safety.

Absorptive capacity and disaster immunity: the mediating role of information quality and change management capability

PurposeService organization supply chains provide a context that amplifies the complexity of interorganizational interdependencies and the need to build unique capabilities and innovative solutions, especially when confronted with man-made or natural disasters. Using the lens of complex adaptive systems (CAS), this study aims to investigate the role of absorptive capacity (AC), change management capability and information quality in improving a firm’s ability to cope with disasters – disaster immunity (DI). The study uniquely parses absorptive capacity into a three-variable, second-order construct (absorptive human resource management, absorptive complementary knowledge and absorptive infrastructure).Design/methodology/approachUsing data collected from 264 US service firms in a supply chain context, this paper evaluates the research model using the structural equation modeling approach.FindingsThe second-order, three-dimensional framework for AC has far superior psychometric properties as compared to the previous unidimensional conceptualizations. Results show that AC influences a firm’s DI through change management capability and information quality – two DI enhancing resources.Originality/valueThe paper builds on previous conceptual discussions of absorptive capacity as a multidimensional construct by operationalizing AC as a latent variable with three dimensions (above). Moreover, this paper shows that AC, change management capability, information quality and DI are interrelated parts of a CAS.

Algorithm development for the spool installation sequence of outfitting works in offshore structure

In the early 2000s, shipyards in South Korea were the most competitive in the world for commercial vessels because of their accumulated production and quality management capabilities. In the mid-2000s, the rising trend of international oil prices and predicted market growth of offshore structures caused large shipyards in South Korea to start focusing on the construction of offshore structures. However, these shipyards suffered massive losses because they did not properly reflect the characteristics of offshore structures, which differ from those of commercial vessels. Such losses can largely be classified into engineering losses and production losses. This study aimed to address problems related to outfitting installation work from a production perspective. An algorithm was developed to define an efficient spool installation sequence and was verified through actual data of offshore structure. The developed algorithm should make it possible to plan spool installation work by determining an efficient spool installation sequence. In addition, the algorithm can assist in prompt decision making and eliminate wasted cost and time by providing with an efficient spool installation sequence.

Research on the Civil-Military Integration Logistics Support System of Warships

This paper had researched the construction of the Chinese Navy warship logistics support system, on the basis of drawing lessons from foreign military work experience. It had pointed out that, the institution building of Chinese Navy warship civil-military integration logistics support should be carried out from three aspects: establishing whole life-cycle logistics support mechanism, perfecting market competition mechanism, establishing the joint logistics support mechanism. At the same time, it had suggest that we should pay more attention to improving the research and development (R&D) capability, peacetime and wartime transfer capability and quality management capability of civilian enterprises. So it would to improve the quality and efficiency of Chinese Navy civil-military integration logistics support.