Journal articles: 'System quality'

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Das, Subhashish. "Quality Management System." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 11, no. 3 (September 15, 2021): 95. http://dx.doi.org/10.58739/jcbs/v11i3.1.

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BA, Badlou. "COVID-19WAR, Quality Management System Features." Haematology International Journal 5, no. 1 (2021): 1–2. http://dx.doi.org/10.23880/hij-16000181.

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Gonsor, Oksana. "SMART SYSTEM FOR MONITORING WATER QUALITY PARAMETERS." Measuring Equipment and Metrology 83, no. 4 (2022): 18–23. http://dx.doi.org/10.23939/istcmtm2022.04.018.

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Water is the most crucial factor for all living organisms, so it is essential to protect it. And water quality monitoring is one of the first steps required in the rational development and management of water resources. Smart systems used for real-time quality control and power consumption are rapidly developing. Their implementation in water quality assurance systems is essential and actual. The three-level smart system presented in this article involves the processing of water samples testing results from water supply sources, from the distribution network (consumers), test results of testing laboratories, and data from water consumption accounting systems. Transmission of the obtained results to consumers applying wireless communication technologies is an important system feature.

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Datey, G. W., and P. K. Gambhir. "Quality System Standards." Indian Welding Journal 21, no. 1 (January 1, 1989): 437. http://dx.doi.org/10.22486/iwj.v21i1.148393.

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Kaposi, A. A., and B. A. Kitchenham. "Modelling System Quality." IFAC Proceedings Volumes 19, no. 11 (October 1986): 13–15. http://dx.doi.org/10.1016/b978-0-08-034801-8.50008-8.

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M.E, Mrs S. Mahalakshmi, and N. Ambika M.E. "Air Quality Monitoring System Using Wireless Sensor Networks." International Journal of Trend in Scientific Research and Development Volume-3, Issue-1 (December 31, 2018): 922–27. http://dx.doi.org/10.31142/ijtsrd19035.

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Raheem, Mr Khatik Abdul. "Building a Quality Management System in Higher Education." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (June 30, 2019): 977–79. http://dx.doi.org/10.31142/ijtsrd23986.

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Kaur, Navneet, and Gagan Deep Yadav. "Power Quality Improvement in Power System using UPFC." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 832–37. http://dx.doi.org/10.31142/ijtsrd7139.

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Hadian, Dedi. "The Development of Quality Management System ISO 9001." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 4, no. 4 (2018): 56–60. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.44.1007.

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This research aims to develop quality management system ISO 9001. The result of an introductory study in analyzing the existing condition of the management system of Pasundan School of Economic Bandung has not been optimal because it is assumed that the ISO 9001 quality management system has not been implemented in stating vision and mission. Based on the phenomenon above, the problems are formulated as follows: How to make The Design of ISO 9001 Quality Management System; the quality guidelines; the standard operating procedure; the job description and work instruction; and make an internal evaluation to suit ISO 9001 quality system. The method used in this study is Research and Design which intends to develop new skills or new approaches and to solve the problems in implementing directly in actual fields. The study findings show that School of Economic Pasundan Bandung has a design of quality management system ISO 9001:2008.

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Sioma, Andrzej. "Vision System in Product Quality Control Systems." Applied Sciences 13, no. 2 (January 5, 2023): 751. http://dx.doi.org/10.3390/app13020751.

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The development of technology for manufacturing products and machines carrying out technological operations is closely linked to developing systems for tracking and controlling product and production process parameters. This paper shows how the development of quality control and production management systems such as TQM and MES is related to the development of imaging and image analysis methods used in industry. The development of imaging methods is discussed in the context of developing product quality control capabilities. It is also shown as to what extent image analysis can be used to observe manufacturing parameters and process management capabilities. It was noted that the use of vision systems as an industrial measurement-quality control system would still increase. Due to the increase in imaging resolution, there was an increase in the imaging frequency, growth in the spectral range of imaging, and the dynamic development of three-dimensional and hybrid imaging methods. Based on experience from industrial applications and tasks described in scientific publications, areas where vision systems will play a key role in inspection tasks have been identified. This is the introductory article for the Special Issue “Image Analysis for Product Quality Control” on using vision systems in various industries to execute production quality control tasks.

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Susilowati, Heni. "Use E-learning systems: System Quality, Information Quality and Service Quality on User Satisfaction." Journal of Business Management Review 1, no. 3 (September 26, 2020): 208–22. http://dx.doi.org/10.47153/jbmr13.352020.

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This study aims to analyze the effect of system quality, information quality and service quality on user satisfaction of e-learning systems in lectures at STEKOM University. The sampling technique used Probability Sampling with the Simple Random Sampling approach of 66 respondents then processed as research data. The method of analysis uses Multiple Linear Regression to test the hypothesis with the t test and F test. Contribution of the influence of independent variables to the dependent variable uses the Adjusted R coefficient of determination. The results show partially and simultaneously system quality, information quality and service quality have a significant effect on user satisfaction. The quality of information is the dominant variable that affects user satisfaction of the academic information system of STEKOM University lecturers. User satisfaction of 50.3% is influenced by the variables in this study, while 49.7% is influenced by other variables.

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Ali, Basel J. A. "Information Quality and Data Quality in Accounting Information System: Implications on the Organization Performance." International Journal of Psychosocial Rehabilitation 24, no. 5 (April 20, 2020): 3258–69. http://dx.doi.org/10.37200/ijpr/v24i5/pr202034.

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Hess, Cathy Thomas. "Quality Measures and Physician Quality Reporting System." Advances in Skin & Wound Care 27, no. 6 (June 2014): 288. http://dx.doi.org/10.1097/01.asw.0000450103.82496.d0.

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Karadžinska, Elizabeta, Marija Davčeva Jovanoska, Maja Velinovska Čadinoska, Verče Jovanovska Jankovska, Sonja Spirovska Burčevska, Nina Ekart Oman, Viška Miceska, Gabriela Gjorgjievska, Nada Popstefanova, and Olivera Paneva. "Quality management system and corporate quality assurance." Macedonian Pharmaceutical Bulletin 68, no. 03 (December 31, 2022): 51–52. http://dx.doi.org/10.33320/maced.pharm.bull.2022.68.03.021.

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Karadžinska, Elizabeta, Marija Davčeva Jovanoska, Maja Velinovska Čadinoska, Verče Jovanovska Jankovska, Sonja Spirovska Burčevska, Nina Ekart Oman, Viška Miceska, Gabriela Gjorgjievska, Nada Popstefanova, and Olivera Paneva. "Quality management system and corporate quality assurance." Macedonian Pharmaceutical Bulletin 68, no. 03 (December 31, 2022): 497–98. http://dx.doi.org/10.33320/maced.pharm.bull.2022.68.03.239.

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Gaol, Ford Lumban, Intan Puryasana, and Tokuro Matsuo. "Evaluating ERP System Merging Success In Chemical Companies: System Quality, Information Quality, And Service Quality." Open Engineering 10, no. 1 (March 17, 2020): 282–93. http://dx.doi.org/10.1515/eng-2020-0003.

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AbstractThis study is aimed to analyze success of the Enterprise Resource Planning (ERP) System Merging in Chemical Company Singapore that acquired two companies. The success component of ERP system success is using DeLone and McLean success model with qualitative method. The research methodology used detail interview with project implementation team, ERP consultants (8 informants) to get more detail from ERP system merging with information and collected supporting data from the ERP system itself. The result shows that ERP System Merging succeed to increase the system quality of Chemical Company which acquired two companies into one ERP system. It was depicted by the increment of easiness on using the system. The information much more integrated and accurate after the ERP system merging. Meanwhile service quality was increased because of all incidents now monitored in one efficient log system and handled by experienced IT application support team.

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Ju, Seung-Hwan, and Hee-Suk Seo. "Data Quality Test Method for Factory Energy Management System." Webology 19, no. 1 (January 20, 2022): 4420–27. http://dx.doi.org/10.14704/web/v19i1/web19291.

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Because data is an important factor in the software industry, how to reliably test data is important. This is even more essential for building Industry 4.0 and smart industrial complexes. This study prepares ISO/IEC 25024-based test methods and guidelines and uses them for energy management at the industrial complex level. In order to provide services by collecting energy data from industrial complexes, it is necessary to verify data quality based on data reliability and compatibility of each plant. Data quality technology needs to conform to ISO TC184/SC4/WG13 (industrial data quality standard) based technology. The study defines the data quality evaluation matrix for the energy management system of industrial parks and factories. It defines five categories and maps detailed indicators to each. The category has three detailed items, which are evaluation items for core requirements, interoperability, and conformity to standards. Each data requirement category covers functionality and reliability, usability and efficiency, and portability as data requirements in the system. Core requirements for system operation such as data consistency are basic evaluation items, and interoperability, which is the semantic compatibility of data for integrated operation of multiple sites, is verified. In addition, data quality is evaluated by verifying standard conformance. Through this evaluation system, the requirements for linking the factory energy management system data with the industrial complex energy management system can be evaluated. This can be used to monitor data quality and develop improvement technologies by developing a master data quality management technology standard suitable for industrial sites.

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Anumula, N., and P. C. Sanelli. "Physician Quality Reporting System." American Journal of Neuroradiology 32, no. 11 (November 17, 2011): 2000–2001. http://dx.doi.org/10.3174/ajnr.a2912.

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Babu, Kishore. "Water Quality Care System." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 2945–55. http://dx.doi.org/10.22214/ijraset.2018.3646.

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Hrytsiuk, Yu I. "SOFTWARE QUALITY MANAGEMENT SYSTEM." Ukrainian Journal of Information Technology 4, no. 1 (2022): 1–20. http://dx.doi.org/10.23939/ujit2022.01.001.

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The Software quality management system has been developed. The system allows you to determine the state of software quality at each hierarchical level of the management system, taking into account the cost of ensuring the required quality. The system also allows the IT company manager to set the potential costs for the transition of software quality indicators from one state to another. It was found out that software quality is a multifaceted concept that can be adequately expressed by some hierarchical structure of characteristics and attributes, which is called the model of software product quality. To assess the quality of the software, a set of criteria and aggregate indicators were used, which maximally characterise it in terms of functionality and usage options. It is established that the software quality model is the main attribute of the complex system of its assessment. The quality model determines which characteristics of the software product must be taken into account when transiting the control system from one state to another. The level of software quality that meets the stated and indirect needs of various stakeholders and is relevant to them is directly reflected in the quality model of the software product in the form of its properties. The software quality model classifies product properties into characteristics and sub-characteristics. A method for selecting stressful variants of software quality state according to input criteria or aggregate indicators of its current quality has been developed. The method allows to determine the current state of software quality at each hierarchical level according to the corresponding aggregate indicator, taking into account its development cost. A method for selecting the optimal version of the software quality management system from the set of permissible has been developed. The method takes into account the structure of criteria and aggregated indicators of current software quality at each hierarchical level of the management system. It is established that the task of choosing the optimal version of the software quality management system belongs to the tasks of multicriteria optimization. The task takes into account the following criteria: portability of the product and its ease of maintenance, product safety and compatibility, ease of use of the product and reliability of its work, as well as the functional suitability of the product and its efficiency of use. An example of implementation of the software quality management system in both quantitative and cost ratio is given. The example allows us to understand the essence of the method of choosing the optimal variant for the management system, as well as the features of the method of selection of stressful variants of the system state according to two criteria or aggregate indicators.

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Korobova, N. A., and Zh S. Tikhonova. "QUALITY MANAGEMENT SYSTEM AUDIT." Izvestia Volgograd State Technical University, no. 1 (2022): 21–22. http://dx.doi.org/10.35211/1990-5297-2022-1-260-21-22.

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Young,, Brian G., and P. Eng C.I.M. "International quality system standards." Communications in Statistics - Theory and Methods 14, no. 11 (January 1985): 2803–13. http://dx.doi.org/10.1080/03610928508829077.

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Buschmann, Frank. "Value-Focused System Quality." IEEE Software 27, no. 6 (November 2010): 84–86. http://dx.doi.org/10.1109/ms.2010.150.

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Yarborough, Charles M. "System for Quality Management." Journal of Occupational and Environmental Medicine 35, no. 11 (November 1993): 1096–102. http://dx.doi.org/10.1097/00043764-199311000-00011.

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Tagami, Ryo, and Mitsuhiko Serikawa. "Sound quality control system." Journal of the Acoustical Society of America 105, no. 1 (1999): 23. http://dx.doi.org/10.1121/1.424738.

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Meehan, Anita, Claire Loose, Jvawnna Bell, Jamie Partridge, Jeffrey Nelson, and Scott Goates. "Health System Quality Improvement." Journal of Nursing Care Quality 31, no. 3 (2016): 217–23. http://dx.doi.org/10.1097/ncq.0000000000000177.

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Raggad, Bel Gacem. "Expert system quality control." Information Processing & Management 32, no. 2 (March 1996): 171–83. http://dx.doi.org/10.1016/s0306-4573(96)85004-7.

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Güell, José L., Jaume Pujol, Montserrat Arjona, Fernando Diaz-Douton, and Pablo Artal. "Optical Quality Analysis System." Journal of Cataract & Refractive Surgery 30, no. 7 (July 2004): 1598–99. http://dx.doi.org/10.1016/j.jcrs.2004.04.031.

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Janßen, Heinz. "Total Quality Management-System." Public Health Forum 4, no. 1 (January 1, 1996): 8. http://dx.doi.org/10.1515/pubhef-1996-1265.

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Gorla, Narasimhaiah, Toni M. Somers, and Betty Wong. "Organizational impact of system quality, information quality, and service quality." Journal of Strategic Information Systems 19, no. 3 (September 2010): 207–28. http://dx.doi.org/10.1016/j.jsis.2010.05.001.

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Nelson, Travis, John M. Borky, and Ronald M. Sega. "System-of-Systems Quality Attribute-Based Architectural Alternatives." IEEE Systems Journal 14, no. 3 (September 2020): 3844–54. http://dx.doi.org/10.1109/jsyst.2019.2935984.

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G. Andrews, Harold. "Quality management systems performance boundaries versus system demands." Engineering Costs and Production Economics 18, no. 1 (October 1989): 93–100. http://dx.doi.org/10.1016/0167-188x(89)90027-x.

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M, Jufli Anita Ranti. "The Effect Of Information System Quality And Information Quality On User Statisfaction Accounting Information System." International Journal of Applied Finance and Business Studies 9, no. 3 (December 30, 2021): 100–106. http://dx.doi.org/10.35335/ijafibs.v9i3.4.

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The purpose of this study was to examine the influence of the quality of information and quality of information systems to the satisfaction of the end users of accounting information systems. This research model is used with reference to the model in using information technology system that is the Technology Acceptance Model (TAM) developed by DeLone and McLean. Data were collected from questionnaires given to 110 employees at Kodam I/BB as information systems user. Questionnaires were received back from 78 questionnaire respondents, and only 74 questionnaires that can be used for further analysis. Data analysis was performed using regression analysis through SPSS version 17. The results showed that the quality of information systems and information quality affects the end-user satisfaction of information system. The results showed that the quality of information system and the quality of information has a positive and significant influence on the accounting information system of user satisfaction in Kodam I/Bukit Barisan. This shows that the better the quality of information system and the quality of information applied to the level of satisfaction of users of accounting information system are getting higher.

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Yenice, G., O. Kaynar, M. Ileriturk, F. Hira, and A. Hayirli. "Quality of eggs in different production systems." Czech Journal of Food Sciences 34, No. 4 (September 5, 2016): 370–76. http://dx.doi.org/10.17221/33/2016-cjfs.

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This experiment was carried out to compare morphological egg quality parameters, as well as lipid and protein profiles, of brown eggs laid by chickens reared under different production systems: cage, free-range, and family type. A total of 270 brown eggs were obtained from commercial poultry companies raising Lohmann Brown laying hens in a cage system and free-range unit as well as families possessing hens in their yards. The egg lipid and protein contents, as well as lipid and protein profile, varied among the production systems. However, eggs from the free-range system had similar characteristics to those from the cage system. Quality of eggs from the family type system was quite variable. In conclusion, egg quality can be affected by the production system.

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Pan, Chen. "Quality Management System for Clinical Nutrition: On the processing of the Artificial Intelligence into Quality Assessment." Nutrition and Food Processing 04, no. 03 (May 26, 2021): 01–06. http://dx.doi.org/10.31579/2637-8914/038.

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Objective: To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control. Subjects: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). Methods: An online survey was conducted on all 341 employees within all these CNDs based on the staff information from the surveyed medical institutions. The questionnaire contains 5 aspects, while data analysis and AI evaluation were focused on human resource information. Results: 330 questionnaires were collected with the respondent rate of 96.77%. The QMS for CN has been build up for CNDs in Jiangsu, which achieved its target in human resource improvements, especially among dietitians. The increasing number of participated departments (42.8%) and the significant growth of dietitians (p=0.02, t=-0.42) are all expressions of the advancements of QMSNJ. Conclusion: As the first innovation of an online platform for QM in Jiangsu, JPCNMP has been successfully implemented among QMS from this research. This multidimensional electronic system can help QMSNJ and CND achieve quality assessment from various aspects, so as to realize the continuous improvement of clinical nutrition. The instrument of online platform, as well as AI technology for quality assessment is worth to be recommended and promoted in the future. Strengths This is the first evaluation of the online QM platform after its implementation in daily disciplinary management among the QMS in china. This research has been designed to investigate the status of CND multidimensionally. This analysis is emphasizing on the human resource approvement after the designation and application of QMS. A clearer forecast of AI in medical quality assessment and disciplinary construction was achieved, while some modifications are recommended in human resource management to improve its efficiency and accuracy.

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Kumalasari, R. Amalina Dewi, Kartika Indah Permanasari, Magdalena Karismariyanti, and Dadang Munandar. "Mobile Banking: System Quality, Information Quality, Service Quality, Customer Satisfaction and Loyalty." Jurnal Ad'ministrare 9, no. 1 (June 5, 2022): 141. http://dx.doi.org/10.26858/ja.v9i1.33951.

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The tight competition in the banking industry in the digital era encourages the digital transformation of the banking industry to remain competitive. This condition further widens the opportunities for banks to enter the digital banking business. On the other hand, other banks maintain the existing ecosystem by continuing to provide online services. Online services can be a choice of consumers to facilitate transactions. Quality information systems and services improve the consumer experience of using service technology. The successful implementation of service technology can be seen from user satisfaction, which leads to user's intention to continue to use service technology and ultimately recommend it to others. This study aims to evaluate the satisfaction of the mobile banking consumer experience using the information system success model. In this study, 176 respondents were collected from Bank Mandiri mobile banking users. Findings based on multiple regression analysis show that system quality, information quality, and service quality have a significant influence on customer satisfaction, which in turn affects loyalty. Achievement of consumer satisfaction and loyalty to mobile banking services, can be done by improving system quality, information quality, and service quality. and service quality has a significant influence on customer satisfaction, which in turn affects loyalty.

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Akrong, Godwin Banafo, Yunfei Shao, and Ebenezer Owusu. "Assessing the Impact of System Quality, Information Quality, and Service Quality on Enterprise Resource Planning (ERP) Systems." International Journal of Enterprise Information Systems 17, no. 4 (October 2021): 69–84. http://dx.doi.org/10.4018/ijeis.2021100104.

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Globally, governments are taking steps to help them increase their income generation margin by implementing tax administrative ERP systems. However, the impacts on the internal system users of these ERP system quality features have not drawn the attention needed. This study, therefore, examines the relationship between the information systems' (IS) quality and individual impact using the theoretical foundation of the DeLone and McLean IS success model and, secondly, addresses the interrelationships between the quality constructs of information systems (IS). The authors also used the structural equation modeling technique of partial least squares to evaluate and analyze the data. The results show that system quality, the information quality, and the service quality characteristics of the tax administrative ERP system have a strong positive impact on the success of the IS at the individual level. There is also a positive relationship between the information systems' (IS) quality construction. The results provide additional empirical observations and consequences for management.

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Ibrahim, Joseph E. "A system for systems is required for quality health systems." Journal of Quality In Clinical Practice 20, no. 4 (December 2000): 171–72. http://dx.doi.org/10.1046/j.1440-1762.2000.00386.x.

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Achmadi, Achmadi, and Amelia Oktrivina Siregar. "The Effect of System Quality, Information Quality and Service Quality on User Satisfaction of E-Learning System." International Journal of Business Review (The Jobs Review) 4, no. 2 (December 1, 2021): 103–20. http://dx.doi.org/10.17509/tjr.v4i2.40483.

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The study aims at analyzing and explain the influence of system quality, information quality, service quality to user satisfaction e-learning system in the Master of Accounting. Total population of this study were 451 students with a total sample of 82. The sampling technique using proportional random sampling. The analytical method used GSCA (Generalized Structured Component Analysis). The results showed that the system quality, information quality, and service quality significantly influence user satisfaction e-learning system. The better the perception of the quality system, the quality of information, and the quality of service it will further increase user satisfaction.

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Wijaya, Santo, Galih Supriadi, Fransisca Debora, and P. Yudi Dwi Arliyanto. "Inhouse Quality Check System Improvement with Kanban System and Analysis Quality Control Circle." Operations Excellence: Journal of Applied Industrial Engineering 13, no. 1 (March 15, 2021): 23. http://dx.doi.org/10.22441/oe.2021.v13.i1.003.

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The development of digitalization has a positive impact to opportunity expand an innovation as a form of continuous improvement. One of the manufacturing companies, PT TCH, wants to implement Industry 4.0 innovation with the thought of integrating data and analytics supply chains. One of its applications is labeling error with a proportion value of 66% with an average error of 328 by creating a warning system for the Kanban system through the application of Quality Control Circle (QCC). The improvements made applying concepts Plan, Do, Check, and Action (PDCA) analysis by making improvements to the labeling system created from the PO database in marketing and creating a visualization of parts to help leverage product suitability. The results showed improvement with the decrease in cycle time from 265 seconds to 215 seconds and saving the cost IDR 70.48391 million / year. This research contributes theoretically in demonstrating the success of the application of QCC and in practical terms, it can provide a continuous increase in productivity and an actual decrease in process activities in the company.

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Tang, Y. C. Alicia, Assyanur Nasyrah Ish ., and Lin-Sin Tan . "An Expert System in Quality Management System Documents Management and Internal Quality Audits." Journal of Applied Sciences 5, no. 1 (December 15, 2004): 130–37. http://dx.doi.org/10.3923/jas.2005.130.137.

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Bacoup, Pascal, Cedric Michel, Georges Habchi, and Magali Pralus. "From a Quality Management System (QMS) to a Lean Quality Management System (LQMS)." TQM Journal 30, no. 1 (January 8, 2018): 20–42. http://dx.doi.org/10.1108/tqm-06-2016-0053.

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Purpose This paper deals with the subject of “Lean Normalization.” The purpose of this paper is to propose a comprehensive methodology which combines the benefits of both International Organization for Standardization (ISO) standards and Lean Management. The application of this methodology leads manufacturing or service companies to certification without creating more documentation. It guarantees agility and flexibility in the day-to-day management of the company, and induces lower costs and reduced times. This methodology provides a new way of tackling the implementation of ISO standards in a company. Design/methodology/approach This methodology is based on the synergistic combination of both ISO standards (Quality Management System) and the key concepts of Lean Management. After a short presentation of ISO standards and Lean Management, the possibility of implementing a synergy between these two different approaches will be discussed. At this point, ISO 9001 standards will be focused on. The proposed methodology will be introduced step by step. Each step of the model will be formalized using the Structured Analysis and Design Technique graphic representation tool. Moreover, each step is associated with a key concept of Lean Management. In order to illustrate the proposed method, an example of implementation will also be presented. Findings To show the feasibility of this methodology, this paper finishes with a summary of the results achieved in a company and draws some interesting conclusions. Companies have the possibility of achieving certification in combination with a Lean Quality Management System (LQMS): a one-page quality manual, only ten records, no major non-conformities and no customer complaints over a two-year period. Research limitations/implications The methodology may have to be adapted to better suit the needs of companies seeking to implement the latest version of the ISO 9001 standards. Practical implications This paper presents the deployment of ISO 9001 standards whilst simultaneously respecting key Lean Management concepts. The practical results for enterprises are the implementation of an LQMS leading to a certification. Social implications This paper presents a new method combining both ISO standards and Lean Management concepts to achieve certification with an LQMS. Originality/value Due to its simplicity and the relevance of its steps, the proposed methodology can be applied to companies with a guaranteed success of certification.

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Al Ahasan, Md Abdullah, Saumendu Roy, A. H. M. Saim, Rozina Akter, and Md Zakir Hossain. "Arduino-Based Real Time Air Quality and Pollution Monitoring System." International Journal of Innovative Research in Computer Science & Technology 6, no. 4 (July 2018): 81–86. http://dx.doi.org/10.21276/ijircst.2018.6.4.8.

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sharma, Dr Abhishek. "Sustainability and Quality in Healthcare System: Organizational Structure-Process Approach." Indian Journal of Applied Research 3, no. 12 (October 1, 2011): 345–47. http://dx.doi.org/10.15373/2249555x/dec2013/104.

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Chodová, D., E. Tůmová, M. Martinec, Z. Bízková, V. Skřivanová, Z. Volek, and L. Zita. "Effect of housing system and genotype on rabbit meat quality." Czech Journal of Animal Science 59, No. 4 (April 15, 2014): 190–99. http://dx.doi.org/10.17221/7343-cjas.

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The effect of the housing system on the carcass characteristics, physical parameters of meat quality, fatty acid composition, and muscle fibre characteristics was studied in some Czech breeds. Ninety-six rabbits from seven different breeds of Czech genetic resources (Moravian Blue, Czech White, Czech Solver, Czech Spotted, Moravian White of Brown Eye, Czech Gold, and Czech Black Guard Hair) and one rabbit commercial hybrid (Hyplus), kept in two housing systems: intensive system (wire-net cages) or alternative (straw-bedded pen), were slaughtered at the age of 91 days. Alternatively housed rabbits had lower weight at slaughter, lower weight of loin, of hind legs meat, and of renal fat than rabbits from cages. The interactions between housing system and genotype were reflected significantly in pH value, and lightness and yellowness of biceps femoris. The highest (P ≤ 0.047) pH was observed in Hyplus (6.68) from cages, while the lowest value was noted in Moravian White of Brown Eye (6.26). The significantly (P ≤ 0.010) lightest meat was detected in Czech Solver (60.93) and the darkest in Czech Gold (47.81). Alternatively reared rabbits showed significantly (P ≤ 0.001) lower monounsaturated fatty acids (MUFA) (26.63%) and higher (P ≤ 0.001) polyunsaturated fatty acids (PUFA) (36.73%) contents than rabbits from cages (36.94% MUFA and 26.23% PUFA). The alternatively housed group had also higher n-3 and n-6 PUFA contents and higher PUFA : SFA ratio than the intensively housed one. Significant interactions (P ≤ 0.001) were observed in cross sectional area (CSA), diameter, and perimeter of muscle fibres of type I. The largest (P ≤ 0.001) CSA of type I muscle fibre had Czech Black Guard Hair from cages (2573.1 μm<sup>2</sup>), while in pens this breed exhibited the smallest CSA (1219.6 μm<sup>2</sup>), diameter (38.68 μm), and perimeter (130.2 μm). Fibre type distribution was not affected by any of the monitored parameters. The effect of interactions of the housing system and genotype was manifested mainly in physical and muscle fibre characteristics.  

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Pan, Chen, Jin Wang, and Xianghua Ma. "Assessment of Quality Management System for Clinical Nutrition in Jiangsu." Journal of Clinical and Laboratory Research 3, no. 2 (August 16, 2021): 01–07. http://dx.doi.org/10.31579/2768-0487/030.

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Objective: To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control. Materials and Methods: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). An online survey was conducted on all 341 employees within all these CNDs based on the staff information from the surveyed medical institutions. The questionnaire contains 5 aspects, while data analysis and AI evaluation were focused on human resource information. An paired sample t-Test was conducted to determine differences between their situation in 2018 and 2020 the application of JPCNMP. Results: 330 questionnaires were collected with the respondent rate of 96.77%. The QMS for CN has been build up for CNDs in Jiangsu, which achieved its target in human resource improvements, especially among dietitians. The increasing number of participated departments (42.8%) and the significant growth of dietitians (p=0.02, t=-0.42) are all expressions of the advancements of QMSNJ. Conclusion: As the first innovation of an online platform for QM in Jiangsu, JPCNMP has been successfully implemented among QMS from this research. This multidimensional electronic system can help QMSNJ and CND achieve quality assessment from various aspects, so as to realize the continuous improvement of clinical nutrition. The instrument of online platform, as well as AI technology for quality assessment is worth to be recommended and promoted in the future.

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Isaev, Ravshan Abdurahmonovich. "Methodological Approaches To Quality Management And Strategic Management Integrated System." American Journal of Management and Economics Innovations 3, no. 06 (June 10, 2021): 91–98. http://dx.doi.org/10.37547/tajmei/volume03issue06-14.

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Akram, Zeba. "Improvement in Power Quality in Power system Through of DPFC." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (June 30, 2018): 55–62. http://dx.doi.org/10.31142/ijtsrd12959.

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Ullah, Najeeb, Faizullah Khan, Abdul Ali Khan, Surat Khan, Abdul Wahid Tareen, Muhammad Saeed, and Akbar Khan. "Optimal Real-time Static and Dynamic Air Quality Monitoring System." Indian Journal of Science and Technology 13, no. 1 (January 20, 2020): 1–12. http://dx.doi.org/10.17485/ijst/2020/v13i01/148375.

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LIN, Maohai, Shisheng ZHOU, and Fuqiang CHU. "Quality Analysis in Digital Printing Based on Color Management System." International Journal of Engineering and Technology 1, no. 2 (2009): 135–38. http://dx.doi.org/10.7763/ijet.2009.v1.24.

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Journal articles on the topic 'System quality'

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