scholarly journals ISO 9001 certification benefits: Aprincipal component analysis

2021 ◽  
Vol 49 (4) ◽  
pp. 835-841
Author(s):  
Luis Fonseca ◽  
Maria Cardoso ◽  
Maria Pereira ◽  
Paulo Ávila
Keyword(s):  
Response Rate ◽  
Principal Component ◽  
Component Analysis ◽  
Iso 9001 ◽  
Knowledge Generation ◽  
Future Research ◽  
Operational Improvement ◽  
Digital Processes ◽  
Year 2000 ◽  
Market Benefits

This research addresses the benefits of ISO 9001 to understand the reasons behind its worldwide adoption. By applying principal component analysis to the results of a survey encompassing 526 valid responses (24.4% response rate), a more business-oriented scale than the traditional internal/external type of motivation with three main categories of benefits is proposed: operational improvement benefit (regarded as the most relevant), profitability and, market. The internal benefits related to the operational improvement are the benefits most felt by organizations, highlighting the contribution of ISO 9001 to improve learning processes and knowledge generation. Concerning the organization size, medium-sized organizations attribute greater importance to the market and competitiveness. However, there are no statistical differences in the reporting of benefits felt in operational improvement and profitability. In relation to the year of certifcation, organizations certified before the year 2000 report higher market benefits when compared to those certified later. The investigation of ISO 9001 within Industry 4.0 and digital processes are suggested for future research.

scholarly journals Constructing Stock Market Performance Index for ASEAN 5 Countries: Principal Component Analysis Approach

2019 ◽  
Vol 2 (1) ◽  
pp. 77-85
Author(s):  
Kelvin Yong Ming Lee
Keyword(s):  
Principal Component Analysis ◽  
Stock Market ◽  
Performance Index ◽  
Market Performance ◽  
Principal Component ◽  
Component Analysis ◽  
Annual Data ◽  
Sample Period ◽  
Stock Market Performance ◽  
Year 2000

This study develops the stock market performance index (SMPI) for ASEAN-5 countries, which include Indonesia, Malaysia, Thailand, Philippines, and Singapore. Along with that, principal component analysis is applied in developing the index. Annual data of ASEAN-5 countries ranging from the year 2000-2016 has been used for the purpose of analysis. The sources of data are the World Bank Database and Datastream. The results indicate that Singapore has the highest SMPI over the sample period, while Indonesia has the lowest SMPI over the sample period 2000 to 2016.

Green-Efficiency Assessment of Chinese Industry Based on Principal Component Analysis and Super-Efficiency Data Envelopment Analysis

2012 ◽  
Vol 490-495 ◽  
pp. 2264-2268 ◽  
Author(s):  
Rui Jie Liu ◽  
Zhi Hui Zhang
Keyword(s):  
Principal Component Analysis ◽  
Data Envelopment Analysis ◽  
Industrial Development ◽  
Principal Component ◽  
Component Analysis ◽  
Data Envelopment ◽  
Super Efficiency ◽  
Chinese Industry ◽  
Year 2000 ◽  
Efficiency Data

Industry is playing an important role in national economy, the efficiency and developing trend of which is widely being paid attention to. However, severe environmental problems always emerge along with rapid industrial development at the same time. Based on the method integrating Principal Component Analysis and Super-efficiency Data Envelopment Analysis, this article introduces environmental factors into the system to evaluate Chinese industrial green-efficiency of year 2000~2008, indicating the current major problems which hinder coordinated economic-environmental development of Chinese industry, and putting forward the improving direction.

Introducing a Taxonomy for Classifying Qualitative Spreadsheet Errors

2015 ◽  
Vol 27 (1) ◽  
pp. 33-56 ◽  
Author(s):  
Linda Leon ◽  
Zbigniew H. Przasnyski ◽  
Kala Chand Seal
Keyword(s):  
Decision Making ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
End Users ◽  
Future Research ◽  
Spreadsheet Model ◽  
Spreadsheet Models ◽  
Mission Critical

Most organizations use large and complex spreadsheets that are embedded in their mission-critical processes and are used for decision-making. Identification of the various types of errors that can be present in these spreadsheets is, therefore, an important first step to creating controls that organizations can use to govern their spreadsheets. While a considerable amount of research on quantitative error taxonomies exists, there is comparatively little research concerning qualitative error taxonomies. In this paper, we propose a taxonomy for categorizing qualitative errors in spreadsheet models that offers an exploratory framework for evaluating the quality of a spreadsheet model before it is released for use by others in the organization. The classification was developed based on types of qualitative errors identified in the literature and errors committed by end-users in developing a spreadsheet model for Panko's (1996) “Wall Problem.” A principal component analysis of the errors reveals four logical groupings thereby creating four categories of qualitative errors. The usability and limitations of the proposed taxonomy and areas for future research are discussed.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

Multifactorial analysis of clinical laboratory signs, the levels of IL-17A, IL-23, IL-33, IL-35, and specific antibodies in the serum of patients with Lyme borreliosis without erythema migrans

2020 ◽  
Vol 4 (11) ◽  
pp. 676-681
Author(s):  
V.V. Sapozhnikova ◽  
◽  
A.L. Bondarenko ◽  
Keyword(s):  
Principal Component Analysis ◽  
Lyme Borreliosis ◽  
Clinical Laboratory ◽  
Acute Infection ◽  
Erythema Migrans ◽  
Principal Component ◽  
Component Analysis ◽  
Control Group ◽  
Multifactorial Analysis ◽  
Specific Antibodies

Aim: to determine the association between clinical laboratory parameters, the production of cytokines (IL-17A, -23, -33, -35), and specific IgM and IgG in the serum of patients with Lyme borreliosis without erythema migrans. Patients and Methods: complete blood count, the concentrations of IL-17A, -23, -33, -35, and the levels of specific IgM and IgG were measured during acute infection and convalescence (n=30). The control group included age- and sex-matched healthy individuals (n=30). Statistical analysis was performed using the StatSoft Statistica v 10.0 software (parametric and non-parametric methods and multifactorial analysis, i.e., principal component analysis). Results: most (80%) patients with Lyme borreliosis without erythema migrans are the people of working age. In most patients, the combination of the specific antibodies against Borrelia afzelii and Borrelia garinii (76.7%) and severe intoxication and inflammatory process (100%) were detected. Moderate and severe disease associated with meningism was diagnosed in 90% and 10%, respectively. The mean duration of hectic period was 8.3±1.27 days. Abnormal ECG was reported in 40% of patients, i.e., conduction abnormalities in 20%, sinus bradycardia in 16.7%,and sinus tachycardia in 3.3%. The clinical laboratory signs of hepatitis without jaundice were identified in 26.7%. During treatment, the significant reduction in band and segmented neutrophil counts as well as the significant increase in platelet count were revealed compared to these parameters at admission. Abnormal cytokine levels (i.e., the increase in IL-17A, -23, -33 and the deficiency of IL-35) were detected. Conclusions: multifactorial analysis has demonstrated that the severity of immunological abnormalities in patients with Lyme borreliosis without erythema migrans is associated with fever, cardiac and liver disorders, the high levels of IL-23 and IL-33, and the lack of IL-35 and specific IgM and IgG. KEYWORDS: tick-borne borreliosis, Lyme disease without erythema migrans, clinical laboratory signs, cytokines, specific antibodies, multifactorial analysis, principal component analysis. FOR CITATION: Sapozhnikova V.V., Bondarenko A.L. Multifactorial analysis of clinical laboratory signs, the levels of IL-17A, IL-23, IL-33, IL-35, and specific antibodies in the serum of patients with Lyme borreliosis without erythema migrans. Russian Medical Inquiry. 2020;4(11):676–681. DOI: 10.32364/2587-6821-2020-4-11-676-681.

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