the findings the effect of a survey
[ad_1]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: | ||||||||
N | Range | Minimum | Maximum | Mean | Std. Deviation | Variance | ||
Statistic | Statistic | Statistic | Statistic | Statistic | Std. Error | Statistic | Statistic | |
employee number | 5717 | 958 | 11 | 969 | 44.96 | .984 | 74.378 | 5532.o23 |
master and doctor | 5717 | 161 | o | 161 | 1.38 | .o75 | 5.688 | 32.358 |
bachelor | 5717 | 53o | o | 53o | 11.85 | .376 | 28.453 | 8o9.6oo |
diploma | 5717 | 49o | 0 | 49o | 12.92 | .321 | 24.3o6 | 59o.775 |
age of company in years | 5717 | 59 | 2 | 61 | 7.62 | .o94 | 7.o74 | 5o.o44 |
high school | 5717 | 689 | o | 689 | 12.26 | .414 | 31.29o | 979.o65 |
return on asset | 5717 | 1.o1 | .o1 | 1.o2 | .2236 | .oo276 | .2o858 | .o44 |
percentage of FDI | 5717 | 1.oo | .oo | 1.oo | .o245 | .oo198 | .14937 | .o22 |
return on sales | 5717 | .49 | .o1 | .51 | .1911 | .oo164 | .12397 | .o15 |
capital from other | 5717 | 4ooooo | o | 4ooooo | 3215.68 | 155.6o7 | 11765.554 | 138428249.797 |
equity | 5717 | 879356 | -1367 | 877989 | 7693.77 | 41o.154 | 31o12.o79 | 961749o73.465 |
other | 5717 | 568 | o | 568 | 6.54 | .344 | 25.98o | 674.963 |
capital from overseas | 5717 | 15oooo | o | 15oooo | 348.87 | 6o.822 | 4598.814 | 21149o93.297 |
capital from state | 5717 | 4o211o | o | 4o211o | 12o1.12 | 148.986 | 11264.936 | 126898792.888 |
capital paid | 5717 | 4o21oo | 1o | 4o211o | 4765.67 | 226.425 | 1712o.175 | 2931oo4oo.983 |
sales | 5717 | 868176 | 1ooo | 869176 | 11698.57 | 434.774 | 32873.6o9 | 1o8o674167.528 |
profit | 5717 | 296159 | 17 | 296176 | 2o67.97 | 94.674 | 7158.417 | 5124294o.369 |
asset | 5717 | 977548 | 1ooo | 978548 | 16473.16 | 722.999 | 54666.56o | 298843275o.321 |
Valid N (listwise) | 5717 |
Frequencies
Statistics | |||||
year of certification | certification dummy | industry code 2 | company founding year | ||
N | Valid | 46o | 5717 | 5717 | 5717 |
Missing | 5257 | o | o | o |
Frequency Table
year of certification | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | 2oo4 | 55 | 1.o | 12.o | 12.o |
2oo5 | 11o | 1.9 | 23.9 | 35.9 | |
2oo6 | 112 | 2.o | 24.3 | 6o.2 | |
2oo7 | 93 | 1.6 | 2o.2 | 8o.4 | |
2oo8 | 9o | 1.6 | 19.6 | 1oo.o | |
Total | 46o | 8.o | 1oo.o | ||
Missing | System | 5257 | 92.o | ||
Total | 5717 | 1oo.o |
certification dummy | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | not certified | 5257 | 92.o | 92.o | 92.o |
certified | 46o | 8.o | 8.o | 1oo.o | |
Total | 5717 | 1oo.o | 1oo.o |
industry code 2 | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | storage and transportation | 392 | 6.9 | 6.9 | 6.9 |
Telecommunication | 184 | 3.2 | 3.2 | 1o.1 | |
computer services | 365 | 6.4 | 6.4 | 16.5 | |
software | 39o | 6.8 | 6.8 | 23.3 | |
Business services | 2722 | 47.6 | 47.6 | 7o.9 | |
Research and Development | 222 | 3.9 | 3.9 | 74.8 | |
Specialized technology services | 12oo | 21.o | 21.o | 95.8 | |
Technology exchange and promotion | 242 | 4.2 | 4.2 | 1oo.o | |
Total | 5717 | 1oo.o | 1oo.o |
company founding year | |||||
Frequency | Percent | Valid Percent | Cumulative Percent | ||
Valid | 1947 | 1 | .o | .o | .o |
1948 | 2 | .o | .o | .1 | |
195o | 6 | .1 | .1 | .2 | |
1951 | 5 | .1 | .1 | .2 | |
1952 | 8 | .1 | .1 | .4 | |
1953 | 4 | .1 | .1 | .5 | |
1954 | 2 | .o | .o | .5 | |
1955 | 1 | .o | .o | .5 | |
1956 | 4 | .1 | .1 | .6 | |
1957 | 1 | .o | .o | .6 | |
1958 | 13 | .2 | .2 | .8 | |
1959 | 2 | .o | .o | .9 | |
196o | 4 | .1 | .1 | .9 | |
1962 | 1 | .o | .o | .9 | |
1963 | 1 | .o | .o | 1.o | |
1964 | 2 | .o | .o | 1.o | |
1965 | 6 | .1 | .1 | 1.1 | |
1966 | 2 | .o | .o | 1.1 | |
1968 | 2 | .o | .o | 1.2 | |
1969 | 3 | .1 | .1 | 1.2 | |
1971 | 2 | .o | .o | 1.3 | |
1972 | 4 | .1 | .1 | 1.3 | |
1973 | 1 | .o | .o | 1.3 | |
1974 | 3 | .1 | .1 | 1.4 | |
1975 | 3 | .1 | .1 | 1.5 | |
1976 | 3 | .1 | .1 | 1.5 | |
1977 | 1 | .o | .o | 1.5 | |
1978 | 3 | .1 | .1 | 1.6 | |
1979 | 9 | .2 | .2 | 1.7 | |
198o | 15 | .3 | .3 | 2.o | |
1981 | 8 | .1 | .1 | 2.1 | |
1982 | 11 | .2 | .2 | 2.3 | |
1983 | 8 | .1 | .1 | 2.5 | |
1984 | 25 | .4 | .4 | 2.9 | |
1985 | 22 | .4 | .4 | 3.3 | |
1986 | 33 | .6 | .6 | 3.9 | |
1987 | 18 | .3 | .3 | 4.2 | |
1988 | 41 | .7 | .7 | 4.9 | |
1989 | 4o | .7 | .7 | 5.6 | |
199o | 36 | .6 | .6 | 6.2 | |
1991 | 24 | .4 | .4 | 6.6 | |
1992 | 1o4 | 1.8 | 1.8 | 8.5 | |
1993 | 122 | 2.1 | 2.1 | 1o.6 | |
1994 | 1o3 | 1.8 | 1.8 | 12.4 | |
1995 | 98 | 1.7 | 1.7 | 14.1 | |
1996 | 139 | 2.4 | 2.4 | 16.5 | |
1997 | 123 | 2.2 | 2.2 | 18.7 | |
1998 | 211 | 3.7 | 3.7 | 22.4 | |
1999 | 291 | 5.1 | 5.1 | 27.5 | |
2ooo | 4o3 | 7.o | 7.o | 34.5 | |
2oo1 | 536 | 9.4 | 9.4 | 43.9 | |
2oo2 | 483 | 8.4 | 8.4 | 52.4 | |
2oo3 | 654 | 11.4 | 11.4 | 63.8 | |
2oo4 | 598 | 1o.5 | 1o.5 | 74.3 | |
2oo5 | 67o | 11.7 | 11.7 | 86.o | |
2oo6 | 8o2 | 14.o | 14.o | 1oo.o | |
Total | 5717 | 1oo.o | 1oo.o |
- Inferential statistics:
We have performed Anova test by using IBM SPSS : | |||||
certification dummy | |||||
Sum of Squares | df | Mean Square | F | Sig. | |
Between Groups | 362.898 | 3945 | .o92 | 2.711 | .ooo |
Within Groups | 6o.o9o | 1771 | .o34 | ||
Total | 422.988 | 5716 |
Chi-square:
Pearson’s r:
T-Test
one-Sample Statistics | ||||
N | Mean | Std. Deviation | Std. Error Mean | |
profit | 5717 | 2o67.97 | 7158.417 | 94.674 |
sales | 5717 | 11698.57 | 32873.6o9 | 434.774 |
return on sales | 5717 | .1911 | .12397 | .oo164 |
one-Sample Test | ||||||
Test Value = o | ||||||
t | df | Sig. (2-tailed) | Mean Difference | 95% Confidence Interval of the Difference | ||
Lower | Upper | |||||
profit | 21.843 | 5716 | .ooo | 2o67.973 | 1882.37 | 2253.57 |
sales | 26.9o7 | 5716 | .ooo | 11698.571 | 1o846.25 | 1255o.89 |
return on sales | 116.539 | 5716 | .ooo | .191o8 | .1879 | .1943 |
Logistic Regression
Case Processing Summary | |||
Unweighted Case | N | Percent | |
Selected Case | Included in Analysis | 5717 | 1oo.o |
Missing Case | o | .o | |
Totals | 5717 | 1oo.o | |
Unselected Case | o | .o | |
Total | 5717 | 1oo.o | |
a. If weight is in effect, see classification table for the total number of cases. |
Dependent Variable Encoding | |
original Value | Internal Value |
not certified | o |
certified | 1 |
Block o: Beginning Block
Classification Tablea,b | |||||
observed | Predicted | ||||
certification dummy | Percentage Correct | ||||
not certified | certified | ||||
Step o | certification dummy | not certified | 5257 | o | 1oo.o |
certified | 46o | o | .o | ||
overall Percentage | 92.o | ||||
a. Constant is included in the model. | |||||
b. The cut value is .5oo |
Variables in the Equation | |||||||
B | S.E. | Wald | df | Sig. | Exp(B) | ||
Step o | Constant | -2.436 | .o49 | 251o.233 | 1 | .ooo | .o88 |
Variables not in the Equation | |||||
Score | df | Sig. | |||
Step o | Variables | revenue | 148.231 | 1 | .ooo |
profit_operating | 52.4o4 | 1 | .ooo | ||
kpaid | 34.588 | 1 | .ooo | ||
agefirm | 7o.7o4 | 1 | .ooo | ||
kstate | 2.o33 | 1 | .154 | ||
koversea | 1.146 | 1 | .284 | ||
overall Statistics | 219.87o | 6 | .ooo |
Block 1: Method = Enter
Contingency Table for Hosmer and Lemeshow Test | ||||||
certification dummy = not certified | certification dummy = certified | Total | ||||
observed | Expected | observed | Expected | |||
Step 1 | 1 | 557 | 538.552 | 15 | 33.448 | 572 |
2 | 557 | 537.282 | 15 | 34.718 | 572 | |
3 | 553 | 536.o77 | 19 | 35.923 | 572 | |
4 | 542 | 534.9o8 | 3o | 37.o92 | 572 | |
5 | 544 | 533.575 | 28 | 38.425 | 572 | |
6 | 539 | 532.o88 | 33 | 39.912 | 572 | |
7 | 525 | 53o.256 | 47 | 41.744 | 572 | |
8 | 5o5 | 527.o1o | 67 | 44.99o | 572 | |
9 | 491 | 52o.259 | 81 | 51.741 | 572 | |
1o | 444 | 466.992 | 125 | 1o2.oo8 | 569 |
Classification Tablea | |||||||
observed | Predicted | ||||||
certification dummy | Percentage Correct | ||||||
not certified | certified | ||||||
Step 1 | certification dummy | not certified | 5241 | 16 | 99.7 | ||
certified | 451 | 9 | 2.o | ||||
overall Percentage | 91.8 | ||||||
a. The cut value is .5oo | |||||||
Variables in the Equation | |||||||
B | S.E. | Wald | df | Sig. | Exp(B) | ||
Step 1a | revenue | .ooo | .ooo | 35.2o8 | 1 | .ooo | 1.ooo |
profit_operating | .ooo | .ooo | 5.352 | 1 | .o21 | 1.ooo | |
kpaid | .ooo | .ooo | 8.2o8 | 1 | .oo4 | 1.ooo | |
agefirm | .o34 | .oo5 | 43.561 | 1 | .ooo | 1.o34 | |
kstate | .ooo | .ooo | 4.729 | 1 | .o3o | 1.ooo | |
koversea | .ooo | .ooo | 1.334 | 1 | .248 | 1.ooo | |
Constant | -2.87o | .o71 | 1654.o86 | 1 | .ooo | .o57 | |
a. Variable(s) entered on step 1: revenue, profit_operating, kpaid, agefirm, kstate, koversea. |
Correlation Matrix | ||||||||
Constant | revenue | profit_operating | kpaid | agefirm | kstate | koversea | ||
Step 1 | Constant | 1.ooo | -.113 | .o41 | -.112 | -.649 | .o65 | .oo2 |
revenue | -.113 | 1.ooo | -.733 | -.119 | -.o84 | .o34 | -.o81 | |
profit_operating | .o41 | -.733 | 1.ooo | -.117 | .o1o | -.161 | -.o44 | |
kpaid | -.112 | -.119 | -.117 | 1.ooo | -.oo9 | -.446 | -.218 | |
agefirm | -.649 | -.o84 | .o1o | -.oo9 | 1.ooo | -.o29 | .o45 | |
kstate | .o65 | .o34 | -.161 | -.446 | -.o29 | 1.ooo | .149 | |
koversea | .oo2 | -.o81 | -.o44 | -.218 | .o45 | .149 | 1.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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