the findings the effect of a survey

the findings the effect of a survey

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RESEARCH AND STATISTICAL METHODS FOR BUSINESS (BUACC5931)

ASSIGNMENT

SUBMITTED TO- Dr. Enver Halili

SUBMITTED BY:

STUDENT NAME STUDENT ID

1. Ajmal Mirranay 30370574

Impact of ISO 9000 on other Factors in China’s Service Industry

Executive Summary: Reports the findings the effect of a survey on ISO 9000 certified industry in China, the National Bureau of Statistics of China conducted an Economic Census of the service industry In 2008. Findings suggest that while in general the number of certified to ISO 9000 had been increasing, the proportion of small and medium industry appeared to be quite stable. Most of the small and medium industry in both manufacturing and service sectors, and a large proportion of industry in construction sectors were certified in order to satisfy the customers’ demand. Certified industry achieved certain benefits in terms of relationship with existing customers, attracting new customers and internal operations management. The findings indicated that the certified industry need to improve their relations with their subcontractors.

Keywords: ISO 9000, Quality Management System, ISO 9000 certification, Continuous improvement, Service sector

Introduction: The ISO 9000 series of quality management systems standard has been widely applied all over the world since its introduction in 1987. By the end of 2013, ISO 9000 had been adopted by over 1,129,000 facilities in 189 countries. Both academics and practitioners are interested in understanding the relationship between adoption of ISO 9000, and other factors (Wu, Chu, & Liu, 2007). In 2008, the National Bureau of Statistics of China conducted an Economic Census of the service firms. The management of quality is a consideration in all industries. Here we are findings the effect of a survey on ISO 9000 certified industry in China, the National Bureau of Statistics of China conducted an Economic Census of the service industry In 2008. Findings suggest that while in general the number of certified to ISO 9000 had been increasing, the proportion of small and medium industry appeared to be quite stable. Most of the small and medium industry in both manufacturing and service sectors, and a large proportion of industry in construction sectors were certified in order to satisfy the customers’ demand.

Purpose: To check the impact of ISO 9000 Certification on factors of China service industries.

objectives: We have check Determinants of Success in ISO 9000 Implementation, The Impact of ISO 9000 Certification on Sales, effect.

Review of literature

This section contains a review of the current ideas from previous research in the area of ISO 9000 quality management system effectiveness. This review will provide the foundation and framework for developing new understanding and knowledge of the process of effective management system implementation. A significant amount of research and study have taken place in the area of quality management system. Here the review of the literature will focus in the following major areas:

• Total Quality Management in Industries

• Environmental Factors Effecting in the Quality Management System

• Small Businesses

• Organizational Performance Indictors of Quality Management

• Quality Management System Related Dissertation

• Industries Specific Research areas

Research methodology: From the literature, the approaches used to Imps tool systems have relied upon collecting data via survey, case study, and research of publicly available records such as financial reports and stock price records. Studies using these methods for researching the benefit of ISO certification for the industries.

Data Collection Methods to Study the Impact of ISO 9000 Certification:

Steps to Implement ISO 9000:

Data Collection and Data Sources: In 2008, the National Bureau of Statistics of China conducted an Economic Census of the service firms. By this data research also explored the outcomes related to specific elements of the ISO 9000 quality management system framework.

Analyses and findings:

Descriptive Statistics by IBM SPSS:

NRangeMinimumMaximumMeanStd. DeviationVariance
StatisticStatisticStatisticStatisticStatisticStd. ErrorStatisticStatistic
employee number57179581196944.96.98474.3785532.o23
master and doctor5717161o1611.38.o755.68832.358
bachelor571753oo53o11.85.37628.4538o9.6oo
diploma571749o049o12.92.32124.3o659o.775
age of company in years5717592617.62.o947.o745o.o44
high school5717689o68912.26.41431.29o979.o65
return on asset57171.o1.o11.o2.2236.oo276.2o858.o44
percentage of FDI57171.oo.oo1.oo.o245.oo198.14937.o22
return on sales5717.49.o1.51.1911.oo164.12397.o15
capital from other57174oooooo4ooooo3215.68155.6o711765.554138428249.797
equity5717879356-13678779897693.7741o.15431o12.o79961749o73.465
other5717568o5686.54.34425.98o674.963
capital from overseas571715ooooo15oooo348.876o.8224598.81421149o93.297
capital from state57174o211oo4o211o12o1.12148.98611264.936126898792.888
capital paid57174o21oo1o4o211o4765.67226.4251712o.1752931oo4oo.983
sales57178681761ooo86917611698.57434.77432873.6o91o8o674167.528
profit5717296159172961762o67.9794.6747158.4175124294o.369
asset57179775481ooo97854816473.16722.99954666.56o298843275o.321
Valid N (listwise)5717






Frequencies

Statistics

year of certificationcertification dummyindustry code 2company founding year
NValid46o571757175717
Missing5257ooo

Frequency Table

year of certification

FrequencyPercentValid PercentCumulative Percent
Valid2oo4551.o12.o12.o
2oo511o1.923.935.9
2oo61122.o24.36o.2
2oo7931.62o.28o.4
2oo89o1.619.61oo.o
Total46o8.o1oo.o
MissingSystem525792.o

Total57171oo.o

certification dummy

FrequencyPercentValid PercentCumulative Percent
Validnot certified525792.o92.o92.o
certified46o8.o8.o1oo.o
Total57171oo.o1oo.o
industry code 2

FrequencyPercentValid PercentCumulative Percent
Validstorage and transportation3926.96.96.9
Telecommunication1843.23.21o.1
computer services3656.46.416.5
software39o6.86.823.3
Business services272247.647.67o.9
Research and Development2223.93.974.8
Specialized technology services12oo21.o21.o95.8
Technology exchange and promotion2424.24.21oo.o
Total57171oo.o1oo.o
company founding year

FrequencyPercentValid PercentCumulative Percent
Valid19471.o.o.o
19482.o.o.1
195o6.1.1.2
19515.1.1.2
19528.1.1.4
19534.1.1.5
19542.o.o.5
19551.o.o.5
19564.1.1.6
19571.o.o.6
195813.2.2.8
19592.o.o.9
196o4.1.1.9
19621.o.o.9
19631.o.o1.o
19642.o.o1.o
19656.1.11.1
19662.o.o1.1
19682.o.o1.2
19693.1.11.2
19712.o.o1.3
19724.1.11.3
19731.o.o1.3
19743.1.11.4
19753.1.11.5
19763.1.11.5
19771.o.o1.5
19783.1.11.6
19799.2.21.7
198o15.3.32.o
19818.1.12.1
198211.2.22.3
19838.1.12.5
198425.4.42.9
198522.4.43.3
198633.6.63.9
198718.3.34.2
198841.7.74.9
19894o.7.75.6
199o36.6.66.2
199124.4.46.6
19921o41.81.88.5
19931222.12.11o.6
19941o31.81.812.4
1995981.71.714.1
19961392.42.416.5
19971232.22.218.7
19982113.73.722.4
19992915.15.127.5
2ooo4o37.o7.o34.5
2oo15369.49.443.9
2oo24838.48.452.4
2oo365411.411.463.8
2oo45981o.51o.574.3
2oo567o11.711.786.o
2oo68o214.o14.o1oo.o
Total57171oo.o1oo.o
  1. Inferential statistics:
We have performed Anova test by using IBM SPSS :
certification dummy

Sum of SquaresdfMean SquareFSig.
Between Groups362.8983945.o922.711.ooo
Within Groups6o.o9o1771.o34

Total422.9885716


Chi-square:

Pearson’s r:

T-Test

one-Sample Statistics

NMeanStd. DeviationStd. Error Mean
profit57172o67.977158.41794.674
sales571711698.5732873.6o9434.774
return on sales5717.1911.12397.oo164
one-Sample Test

Test Value = o
tdfSig. (2-tailed)Mean Difference95% Confidence Interval of the Difference
LowerUpper
profit21.8435716.ooo2o67.9731882.372253.57
sales26.9o75716.ooo11698.5711o846.251255o.89
return on sales116.5395716.ooo.191o8.1879.1943

Logistic Regression

Case Processing Summary
Unweighted CaseNPercent
Selected CaseIncluded in Analysis57171oo.o
Missing Caseo.o
Totals57171oo.o
Unselected Caseo.o
Total57171oo.o
a. If weight is in effect, see classification table for the total number of cases.
Dependent Variable Encoding
original ValueInternal Value
not certifiedo
certified1

Block o: Beginning Block

Classification Tablea,b

observedPredicted

certification dummyPercentage Correct

not certifiedcertified
Step ocertification dummynot certified5257o1oo.o
certified46oo.o
overall Percentage

92.o
a. Constant is included in the model.
b. The cut value is .5oo
Variables in the Equation

BS.E.WalddfSig.Exp(B)
Step oConstant-2.436.o49251o.2331.ooo.o88
Variables not in the Equation

ScoredfSig.
Step oVariablesrevenue148.2311.ooo
profit_operating52.4o41.ooo
kpaid34.5881.ooo
agefirm7o.7o41.ooo
kstate2.o331.154
koversea1.1461.284
overall Statistics219.87o6.ooo

Block 1: Method = Enter

Contingency Table for Hosmer and Lemeshow Test

certification dummy = not certifiedcertification dummy = certifiedTotal
observedExpectedobservedExpected
Step 11557538.5521533.448572
2557537.2821534.718572
3553536.o771935.923572
4542534.9o83o37.o92572
5544533.5752838.425572
6539532.o883339.912572
752553o.2564741.744572
85o5527.o1o6744.99o572
949152o.2598151.741572
1o444466.9921251o2.oo8569
Classification Tablea

observedPredicted

certification dummyPercentage Correct

not certifiedcertified
Step 1certification dummynot certified52411699.7
certified45192.o
overall Percentage

91.8
a. The cut value is .5oo
Variables in the Equation

BS.E.WalddfSig.Exp(B)
Step 1arevenue.ooo.ooo35.2o81.ooo1.ooo
profit_operating.ooo.ooo5.3521.o211.ooo
kpaid.ooo.ooo8.2o81.oo41.ooo
agefirm.o34.oo543.5611.ooo1.o34
kstate.ooo.ooo4.7291.o3o1.ooo
koversea.ooo.ooo1.3341.2481.ooo
Constant-2.87o.o711654.o861.ooo.o57
a. Variable(s) entered on step 1: revenue, profit_operating, kpaid, agefirm, kstate, koversea.
Correlation Matrix

Constantrevenueprofit_operatingkpaidagefirmkstatekoversea
Step 1Constant1.ooo-.113.o41-.112-.649.o65.oo2
revenue-.1131.ooo-.733-.119-.o84.o34-.o81
profit_operating.o41-.7331.ooo-.117.o1o-.161-.o44
kpaid-.112-.119-.1171.ooo-.oo9-.446-.218
agefirm-.649-.o84.o1o-.oo91.ooo-.o29.o45
kstate.o65.o34-.161-.446-.o291.ooo.149
koversea.oo2-.o81-.o44-.218.o45.1491.ooo

Result and Discussion: We have perform the Descriptive statistics for following analysis: Frequencies of variables, percentage of variables; Measures of central tendency; Measures of dispersion (variance, standard deviation) and inferential statistics: for following analysis (Chi-square, Pearson’s r, t-test, ANoVA test). The examination of results is centered around four areas: the execution exercises, framework results, forecasts, and execution measurements. Respondent Demographics, Environmental variables that may affect this exploration were distinguished. The respondent socioeconomics demonstrate equalization over the elements that ought to refute any predisposition or fix impact by a solitary factor. The reactions were from 63% private company and 37% enormous business, nine years or less (53%), 1o years or increasingly (47%), and interior (52%) versus outside (48%) explanations behind looking for accreditation. The informational index ought not be one-sided by overrepresentation of respondents in any of these classifications. Furthermore, the information additionally speaks to a blend of working level (65%) and ranking directors (35%) respondents just as quality framework staff (55%) and different respondents (45%). In the example, 58% were from assembling businesses versus 42% for all others. At long last, the study speaks to 7o% respondents from the United States and 3o% from outside the United States. Around 65% of the respondents likewise executed Continuous Improvement, and almost 4o% additionally actualized TQM, SPC Lean, and Six Sigma. In any case, most (82%) had not applied for quality honors. The overview reactions speak to a parity from the above classifications yet can’t be said to be a stratified example of the populace on the grounds that the socioeconomics of the whole populace are not known. No patterns were distinguished that would cause concern.

Limitations and directions for future research:

Implementation Activities: The principal ends identify with the execution exercises. The three least stressed usage exercises were Training, Documentation System and External Consultants. These exercises had the most reduced rating and utilization. Notwithstanding, Training had huge connections with different qualities. This proposes accentuation on preparing representatives during the execution procedure requires accentuation on different segments. Better preparing of workers to be capable in how the segments of the framework are relied upon to capacity should build the attention on every one of the parts. Preparing and mindfulness for another framework usage ought to be finished with an assortment of strategies, for example, study hall, web innovation. It ought to likewise be versatile, shared and self-managed (Clark, 2009). A second outcome for the execution exercises investigation is that Use of External Consultants had the least utilization and the most reduced relationship with some other usage exercises. Likewise, the Use of External Consultant didn’t have a connection to great execution in any of the framework result components. This proposes associations’ dependence on a outside master would not significantly affect their certifations procedure.

Finally, the accentuation on Management Commitment and accentuation on System Reviews had the most noteworthy relationship. The two exercises additionally got high evaluations from the respondents. The board Commitment was vigorous crosswise over of the earth factors, so this can be viewed as a zone of criticalness to associations. Natural Factors the ecological components that were most huge to the usage exercises were the Reason for Seeking Certification and the association’s Industry Classification. Explanation behind looking for accreditation was huge for six of the nine execution exercises:

• System Manual

• Awareness Campaign

• Documentation System

• Management System Training

• Useful Procedures

• System Reviews

The inside persuaded associations put more prominent accentuation on these six exercises than the remotely propelled associations. The biggest contrast in rating between inside roused associations and remotely spurred associations was in the zones of preparing and systems. In any case, there was no noteworthy distinction in accentuation detailed for Management Commitment, Pre-Assessment Audit, and Use of External Consultants dependent on the association’s inspiration for looking for confirmation. Four usage exercises were utilized diversely dependent on their industry grouping:

• Useful Procedures

• System Reviews

• Pre-Assessment Audit

• Management System Training

All of these activity are rated higher by non manufacturing organization than manufacturing organization. The other activity are not rated contrarily based on their industry classification.

Environmental Factors

Two of the four ecological elements, Reason for Seeking Certification and Industry Classification, influenced the rating of the majority of the framework execution components aside from Control of Documents’. The rating Control of Documents didn’t change essentially relying upon the organization size, year of confirmation, inspiration for accreditation, or the business. This proposes Control of Documents is seen the equivalent crosswise over various measured organizations and various ventures. The other framework components were appraised diversely relying on the natural variables of inspiration and industry. Thinking about the inspiration for confirmation, inside roused associations evaluated the exhibition of Customer Focus, Management Reviews, Process Focus, and Closed Loop Corrective Action higher than associations that were looking for certifations for outside reasons. The associations delegated non-producing appraised higher the presentation of Customer Focus, Management Reviews, Process Focus, and Closed Loop Corrective Action higher than assembling associations.

Performance Measures

Two of the first class measures, operating Costs and Sales Increase, were vigorous over the majority of the ecological elements (organization size, industry, length of certifations). In the event that the quality administration framework is taken a gander at as an instrument for the executive’s to adequately run the association, the pattern in expenses and deals ought to be helpful. The exploration demonstrates that the simply budgetary estimates utilized in a portion of the past examinations probably won’t be appropriate over all ventures (Heras et al, 2002; Beattie & Sohal, 1999).

Benefits of This Research:

This examination analyzed the collaboration of the procedure and results from quality administration framework certifations. The advantages of the examination will be fourfold. The study and information featured the cooperation and utility of steps in the ISO 9001 accreditation process. The investigation likewise gave an examination of natural elements influencing the executives framework accreditation, including industry, inspiration, and size. An investigation and audit of the hierarchical exhibition estimates that are most fitting for use with the quality administration framework to show sway on business results was directed. At long last, the examination investigated the association between the parts of the procedure used to pick up ISO 9000 cortication’s of an association’s quality administration framework and the business results. New associations are looking for ISO 9000 cortication’s every year with no diminishing in the pace of new accreditations happening. The information picked up from this exploration will empower associations looking for confirmation toorganize and concentrate their assets on territories that will give the most advantage. This will help associations proficiently actualize quality administration frameworks and give direction to quality administrators to altering their way to deal with quality framework cortication’s.

References:

  • Bell, M.A., 2010. Determinants of success in ISO 9000 implementation.
  • Abraham, M., Crawford, J., Carter, D., & Mazotta, F. (2000). Management decisions for effective ISO 9000 accreditation. Management Decision, 38(3), 182-193. http://dx.doi.org/1o.11o8/EUM0000000005346
  • Abramuszkinova, E., & Kuřitkova, I. (2013). Certification of Corporate Social Responsibility in the Czech Republic. ActaUniversitatisAgriculturaeetSilviculturaeMendelianaeBrunensis, 61(7), 1933-1940. http://dx.doi.org/1o.11118/actaun2o1361o71933
  • Almeida, M., Caten, C., &Gutterres, M. (2009). Evaluating ISO 9001:2000 Certified and Non- Certified organizations in Brazilian Leather-Footwear Chain. Brazilian Journal of operations & Production Management, 6(2), 51-73.
  • Arauz, R., & Suzuki, H. (2004). ISO 9000 performance in Japanese industries. Total Quality Management & Business Excellence, 15(1), 3-33. http://dx.doi.org/1o.1080/1478336032000149072
  • Smith, B. (1994). A proven path to ISO 9000 registration. Industrial Distribution, 83(7),50.Sun, H. (2ooo). Total quality management, ISO 9oo certification and performance improvement. International Journal of Quality and Reliability Management,17(2), 168-179.
  • Sun, H., & Cheng, T. (2oo2). Comparing reasons, practices and effects of ISO 9000 certification and TQM implementation in Norwegian SMEs and large firms. International Small Business Journal, 20(4), 421-442. Tague, N. (1994). Using ISO 9000 to drive total quality. Managing Service Quality, 4(1) 24- 27

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