Peter Schlegel, Daniel Buschmann, Max Ellerich, R. Schmitt
Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction. Methodology/Approach: A seven-phase methodology is developed in which the data suitability for defect prediction in interlinked production steps is assessed. For this purpose, the manufacturing process is mapped and potential influencing variables on the origin of defects are identified. The available data is evaluated and quantified with regard to the criteria relevancy, completeness, appropriate amount of data, accessibility and interpretability. The individual assessments are then visualized in an overview, gaps in data acquisition are identified and needs for action are derived. Findings: The research shows a seven-phase methodology to systematically assess data suitability for defect prediction and identify data gaps in interlinked production steps. Research Limitation/implication: This research is limited to the analysis of contextual data quality for the use case of defect prediction. Other data analytics applications or processes outside of manufacturing are not included. Originality/Value of paper: The paper provides a new approach to identify gaps in data acquisition by systematically assessing data suitability for defect prediction and deducting needs for action. The accuracy of predictive defect models is then to be improved by the subsequent optimization of the data basis.
{"title":"Methodological Assessment of Data Suitability for Defect Prediction","authors":"Peter Schlegel, Daniel Buschmann, Max Ellerich, R. Schmitt","doi":"10.12776/qip.v24i2.1443","DOIUrl":"https://doi.org/10.12776/qip.v24i2.1443","url":null,"abstract":"Purpose: This paper provides a domain specific concept to assess data suitability of various data sources along the production chain for defect prediction. Methodology/Approach: A seven-phase methodology is developed in which the data suitability for defect prediction in interlinked production steps is assessed. For this purpose, the manufacturing process is mapped and potential influencing variables on the origin of defects are identified. The available data is evaluated and quantified with regard to the criteria relevancy, completeness, appropriate amount of data, accessibility and interpretability. The individual assessments are then visualized in an overview, gaps in data acquisition are identified and needs for action are derived. Findings: The research shows a seven-phase methodology to systematically assess data suitability for defect prediction and identify data gaps in interlinked production steps. Research Limitation/implication: This research is limited to the analysis of contextual data quality for the use case of defect prediction. Other data analytics applications or processes outside of manufacturing are not included. Originality/Value of paper: The paper provides a new approach to identify gaps in data acquisition by systematically assessing data suitability for defect prediction and deducting needs for action. The accuracy of predictive defect models is then to be improved by the subsequent optimization of the data basis.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"8 1","pages":"170-185"},"PeriodicalIF":1.5,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89123606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: In quantitative studies, providing a valid and reliable instrument is necessary to ensure accurate results when measuring sustainable manufacturing practices (SMPs) and sustainability performance (SP). Therefore, this study aims to evaluate the validity and reliability of the measurements of SMPs and SP. Methodology/Approach: The population of this study is top managers who have experience in the oil and gas industry (O&GI) in Iraq. Two tests were carried out in the present study: the pre-test and the pilot test. Findings: In the pre-test, the comments made by six academician experts and three practitioners were used to rephrase the measurements items and modify them according to the requirements of the O&GI by the Iraqi context. Moreover, in the pilot test was all the items were reliable and were sufficiently correlated with their constructs. Research Limitation/implication: There are some limitations to the current study. First, due to the small size of the study population, the pilot test sample in the current study was only 12 respondents. Future researchers can increase the sample size for the pilot test when they have a large population. Second, the validity and reliability of the measurements were tested in the current study in the oil and gas industry only. Future studies can test these measurements in other industries or small and Small and medium-sized enterprises (SMEs). Originality/Value of paper: Theoretically, there are four contributions to the body of knowledge: first, introduce measures for SMPs according to the product life cycle view, it is limited in the literature. Second, these measures can be used by researchers to study the extent of SMPs and the SP of companies using descriptive statistics. Third, these measures can be used to investigate the impact of SMPs on SP by regression testing or structural equation modelling. Fourth, measures can be modified into open-ended questions for use in qualitative or mixed studies. Practically, there are two practical implications which explain in the conclusion.
{"title":"A Scale for Measuring Sustainable Manufacturing Practices and Sustainability Performance: Validity and Reliability","authors":"Y. M. Ibrahim, N. Hami, S. S. Abdulameer","doi":"10.12776/qip.v24i2.1385","DOIUrl":"https://doi.org/10.12776/qip.v24i2.1385","url":null,"abstract":"Purpose: In quantitative studies, providing a valid and reliable instrument is necessary to ensure accurate results when measuring sustainable manufacturing practices (SMPs) and sustainability performance (SP). Therefore, this study aims to evaluate the validity and reliability of the measurements of SMPs and SP. Methodology/Approach: The population of this study is top managers who have experience in the oil and gas industry (O&GI) in Iraq. Two tests were carried out in the present study: the pre-test and the pilot test. Findings: In the pre-test, the comments made by six academician experts and three practitioners were used to rephrase the measurements items and modify them according to the requirements of the O&GI by the Iraqi context. Moreover, in the pilot test was all the items were reliable and were sufficiently correlated with their constructs. Research Limitation/implication: There are some limitations to the current study. First, due to the small size of the study population, the pilot test sample in the current study was only 12 respondents. Future researchers can increase the sample size for the pilot test when they have a large population. Second, the validity and reliability of the measurements were tested in the current study in the oil and gas industry only. Future studies can test these measurements in other industries or small and Small and medium-sized enterprises (SMEs). Originality/Value of paper: Theoretically, there are four contributions to the body of knowledge: first, introduce measures for SMPs according to the product life cycle view, it is limited in the literature. Second, these measures can be used by researchers to study the extent of SMPs and the SP of companies using descriptive statistics. Third, these measures can be used to investigate the impact of SMPs on SP by regression testing or structural equation modelling. Fourth, measures can be modified into open-ended questions for use in qualitative or mixed studies. Practically, there are two practical implications which explain in the conclusion.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"9 1","pages":"59-74"},"PeriodicalIF":1.5,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89507264","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: As management systems, enterprise risk management and enterprise performance management pursue similar objectives and influence each other positively. The paper aims to provide an insight into the relationship between Enterprise Risk Management and Business Performance Management. Methodology/Approach: The paper compares the results of an American study with the results of a Slovakian study. First, the American results are cited and interpreted. Then the Slovak results are presented and discussed. Then the results are compared. In the last part an overall conclusion is drawn, the relationships between the results are shown and practical implications are explained. Findings: The results show similarities, but also differences to Enterprise Risk Management and the relationships between Enterprise Risk Management and Business Performance Management. The paper shows that there are differences in both the management approach and the impact on business performance between American and Slovak companies. Research Limitation/implication: A limitation in both studies is the limited number of participating companies. This is accompanied by a higher probability of error. Originality/Value of paper: The paper provides new information to the gap related to subjects enterprise risk management and business performance management and their relations.
{"title":"Enterprise Risk Management – Approaches Determining Its Application and Relation to Business Performance","authors":"J. Klučka, Rudolf Grünbichler","doi":"10.12776/qip.v24i2.1467","DOIUrl":"https://doi.org/10.12776/qip.v24i2.1467","url":null,"abstract":"Purpose: As management systems, enterprise risk management and enterprise performance management pursue similar objectives and influence each other positively. The paper aims to provide an insight into the relationship between Enterprise Risk Management and Business Performance Management. Methodology/Approach: The paper compares the results of an American study with the results of a Slovakian study. First, the American results are cited and interpreted. Then the Slovak results are presented and discussed. Then the results are compared. In the last part an overall conclusion is drawn, the relationships between the results are shown and practical implications are explained. Findings: The results show similarities, but also differences to Enterprise Risk Management and the relationships between Enterprise Risk Management and Business Performance Management. The paper shows that there are differences in both the management approach and the impact on business performance between American and Slovak companies. Research Limitation/implication: A limitation in both studies is the limited number of participating companies. This is accompanied by a higher probability of error. Originality/Value of paper: The paper provides new information to the gap related to subjects enterprise risk management and business performance management and their relations.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"16 1","pages":"51-58"},"PeriodicalIF":1.5,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78950258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose : The collaborative work between universities and enterprises is increasingly important given the growing competitive environment, transformed by intense global competition, rapid technological change and shorter product life cycles. In this article several case studies are analysed, as well as relevant academic literature, to get an insight concerning the current relationship status between enterprises and universities. Methodology/Approach : The methodology is grounded on the literature review on University-Industry Partnerships, selected from indexed sources, and targeted to case-based experiences where practical feedback is given. Findings: It is shown that university-industry knowledge transfer contributes significantly to an increase of quality, productivity and economic value of businesses. It is found that the lack of controlling mechanisms and lack of efficient communication paths have a strong negative impact in collaboration. Key collaboration factors that support stronger relationships were compiled and discussed in support of better mitigation strategies. Research Limitation/implication : The limited availability of case studies reporting on operative improvements introduced by policy changes hinders the effectiveness of the findings. Originality/Value of paper : The paper analyses the collaboration of the university with industry based on case studies with a focus on value creation and how to gain a competitive advantage through collaboration.
{"title":"Why Most University-Industry Partnerships Fail to Endure and How to Create Value and Gain Competitive Advantage through Collaboration – A Systematic Review","authors":"A. Marinho, Rui Silva, G. Santos","doi":"10.12776/qip.v24i2.1389","DOIUrl":"https://doi.org/10.12776/qip.v24i2.1389","url":null,"abstract":"Purpose : The collaborative work between universities and enterprises is increasingly important given the growing competitive environment, transformed by intense global competition, rapid technological change and shorter product life cycles. In this article several case studies are analysed, as well as relevant academic literature, to get an insight concerning the current relationship status between enterprises and universities. Methodology/Approach : The methodology is grounded on the literature review on University-Industry Partnerships, selected from indexed sources, and targeted to case-based experiences where practical feedback is given. Findings: It is shown that university-industry knowledge transfer contributes significantly to an increase of quality, productivity and economic value of businesses. It is found that the lack of controlling mechanisms and lack of efficient communication paths have a strong negative impact in collaboration. Key collaboration factors that support stronger relationships were compiled and discussed in support of better mitigation strategies. Research Limitation/implication : The limited availability of case studies reporting on operative improvements introduced by policy changes hinders the effectiveness of the findings. Originality/Value of paper : The paper analyses the collaboration of the university with industry based on case studies with a focus on value creation and how to gain a competitive advantage through collaboration.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"13 1","pages":"34-50"},"PeriodicalIF":1.5,"publicationDate":"2020-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81985833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: In early 2000s Six Sigma and Lean were combined into Lean Six Sigma (LSS), which has been one of the major strategic quality initiatives all over the world. Now, we are in the era of the 4th Industrial Revolution (IR), which changes almost everything including LSS and quality management (QM) in the companies. We need new paradigm of LSS to boost LSS activities in this 4th IR era. In this paper, the typical characteristics of the 4th IR are investigated, and desirable new paradigm of LSS is presented. Methodology/Approach: The changing characteristics of production strategy, quality goal and quality strategy with regard to QM in the 4th IR are discussed and presented. Then the new and emerging paradigm of LSS in this 4th IR era is discussed in detail. Also 9 success factors for this new paradigm of LSS are shown for practitioners in the industry. Findings: The direction of the new paradigm of LSS will be ‘simple, speedy and smart’, which may be called ‘3S paradigm’. Simple open procedures and simple statistical modelling tools will be mainly used. Speedy on-site improvement based on Open Data, Big Data and artificial intelligence (AI) will be favoured. Also smart mass customized ‘Smart Factory’ method will be emphasized. Research Limitation/implication: Since we are in the beginning stage of the 4th IR, there are not many research papers which study the impact of this revolution to LSS and QM, which is the major research limitation. Originality/Value of paper: This paper suggests some new and emerging paradigm of LSS, which could be of high value.
{"title":"New Paradigm of Lean Six Sigma in the 4th Industrial Revolution Era","authors":"Sung H. Park, Su Mi Dahlgaard-Park, Dong-Chun Kim","doi":"10.12776/qip.v24i1.1430","DOIUrl":"https://doi.org/10.12776/qip.v24i1.1430","url":null,"abstract":"Purpose: In early 2000s Six Sigma and Lean were combined into Lean Six Sigma (LSS), which has been one of the major strategic quality initiatives all over the world. Now, we are in the era of the 4th Industrial Revolution (IR), which changes almost everything including LSS and quality management (QM) in the companies. We need new paradigm of LSS to boost LSS activities in this 4th IR era. In this paper, the typical characteristics of the 4th IR are investigated, and desirable new paradigm of LSS is presented. Methodology/Approach: The changing characteristics of production strategy, quality goal and quality strategy with regard to QM in the 4th IR are discussed and presented. Then the new and emerging paradigm of LSS in this 4th IR era is discussed in detail. Also 9 success factors for this new paradigm of LSS are shown for practitioners in the industry. Findings: The direction of the new paradigm of LSS will be ‘simple, speedy and smart’, which may be called ‘3S paradigm’. Simple open procedures and simple statistical modelling tools will be mainly used. Speedy on-site improvement based on Open Data, Big Data and artificial intelligence (AI) will be favoured. Also smart mass customized ‘Smart Factory’ method will be emphasized. Research Limitation/implication: Since we are in the beginning stage of the 4th IR, there are not many research papers which study the impact of this revolution to LSS and QM, which is the major research limitation. Originality/Value of paper: This paper suggests some new and emerging paradigm of LSS, which could be of high value.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"41 1","pages":"1-16"},"PeriodicalIF":1.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77925781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The purposes of this study are first, to analyze why the process capability index ( Cpk ) for drop impact resistance (DIR) does not meet the specification or less than 1.33, and second, to find out what improvements should be made to make it meet the specification. Methodology/Approach: The methodology used was Statistical Process Control (SPC) through the PDCA cycle, supporting with Cause and Effect Diagram (CED), Nominal Group Technique (NGT) and “why, what, where, when and how (5W1H)” method. Findings: With the above methods, the result of the study was given a positive impact on the company. The average of DIR was increased from 20.40 cm to 25.76 cm, increased by 26.27% and the standard deviation was reduced from 1.80 to 1.48, and then the Cpk index was increased from 0.48 to 1.79 it means the process is in control and capable. Research Limitation/implication: This research was limited only on the two-piece can aluminum cans manufacturing process, no for three-piece cans manufacturing. SPC through PDCA cycle is an interesting method for continuous improvement of process capability in the cans manufacturing industry. Originality/Value of paper: This study highlights the area of future research SPC through the PDCA cycle to analyze and optimize process capability. Therefore, this research is considered to promote and adopt high-valued methodologies for supporting industry to achieve global competitive advantages.
{"title":"Implementation of Statistical Process Control through PDCA Cycle to Improve Potential Capability Index of Drop Impact Resistance: A Case Study at Aluminum Beverage and Beer Cans Manufacturing Industry in Indonesia","authors":"Sunadi Sunadi, H. Purba, S. Hasibuan","doi":"10.12776/qip.v24i1.1401","DOIUrl":"https://doi.org/10.12776/qip.v24i1.1401","url":null,"abstract":"Purpose: The purposes of this study are first, to analyze why the process capability index ( Cpk ) for drop impact resistance (DIR) does not meet the specification or less than 1.33, and second, to find out what improvements should be made to make it meet the specification. Methodology/Approach: The methodology used was Statistical Process Control (SPC) through the PDCA cycle, supporting with Cause and Effect Diagram (CED), Nominal Group Technique (NGT) and “why, what, where, when and how (5W1H)” method. Findings: With the above methods, the result of the study was given a positive impact on the company. The average of DIR was increased from 20.40 cm to 25.76 cm, increased by 26.27% and the standard deviation was reduced from 1.80 to 1.48, and then the Cpk index was increased from 0.48 to 1.79 it means the process is in control and capable. Research Limitation/implication: This research was limited only on the two-piece can aluminum cans manufacturing process, no for three-piece cans manufacturing. SPC through PDCA cycle is an interesting method for continuous improvement of process capability in the cans manufacturing industry. Originality/Value of paper: This study highlights the area of future research SPC through the PDCA cycle to analyze and optimize process capability. Therefore, this research is considered to promote and adopt high-valued methodologies for supporting industry to achieve global competitive advantages.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"49 1","pages":"104-127"},"PeriodicalIF":1.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86683162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pavel Sládek, Milos Maryska, Lea Nedomová, Petr Doucek
Purpose: This article proposes and analyses the potential use of IoT solutions for detecting water consumption not only from technical, but also from the business and financial points of view. This topic is important because by solving this problem, companies may save a lot of money and this paper provides financial analysis, which answers question, if the implementation is or is not meaningful. Methodology/Approach: Source data used in this paper come from an extensive survey among fifty experts from the energy supply industry in the Czech Republic during two-round workshops. One of the most attractive application has been appointed “monitoring of utility consumption” – for this article the water metering. Findings: We have reached the conclusion that an isolated implementation of IoT technologies is much more expensive than the current solution that are based on human labour, periodical inspections of meters by people. This is caused mainly by high prices of the sonic/mechanical metering devices supporting IoT functionality. Research Limitation/implication: Workshops and research work were realised in conditions in the Czech Republic. Principles of application opportunities and of its implementation are general, but the final decisions about their importance can be influenced by the specifics and situation in the Czech Republic. Originality/Value of paper: The value of the paper comes from the workshops where were defined important application opportunities for definition of the priority for each of defined application opportunities.
{"title":"The Application of Internet of Things in Metering the Consumption of Utilities in the Czech Republic","authors":"Pavel Sládek, Milos Maryska, Lea Nedomová, Petr Doucek","doi":"10.12776/qip.v24i1.1308","DOIUrl":"https://doi.org/10.12776/qip.v24i1.1308","url":null,"abstract":"Purpose: This article proposes and analyses the potential use of IoT solutions for detecting water consumption not only from technical, but also from the business and financial points of view. This topic is important because by solving this problem, companies may save a lot of money and this paper provides financial analysis, which answers question, if the implementation is or is not meaningful. Methodology/Approach: Source data used in this paper come from an extensive survey among fifty experts from the energy supply industry in the Czech Republic during two-round workshops. One of the most attractive application has been appointed “monitoring of utility consumption” – for this article the water metering. Findings: We have reached the conclusion that an isolated implementation of IoT technologies is much more expensive than the current solution that are based on human labour, periodical inspections of meters by people. This is caused mainly by high prices of the sonic/mechanical metering devices supporting IoT functionality. Research Limitation/implication: Workshops and research work were realised in conditions in the Czech Republic. Principles of application opportunities and of its implementation are general, but the final decisions about their importance can be influenced by the specifics and situation in the Czech Republic. Originality/Value of paper: The value of the paper comes from the workshops where were defined important application opportunities for definition of the priority for each of defined application opportunities.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"82 1","pages":"40-53"},"PeriodicalIF":1.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89274594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The paper offers a set of original information based on critical analysis of description two last versions of excellence models presented by the European Organisation for Quality Management (EFQM). The principle goal is to present the main advantages and weaknesses of the latest version of The EFQM Model, especially from a practical point of view with respect to a Quality 4.0 era. Methodology/Approach: Comparative analysis of two relevant documents (EFQM, 2012; EFQM, 2019a) was used as a key method. Discussions with 18 quality professionals from Czech production organisations served as a complementary approach. Findings: The basic structure of a new model was completely changed. But the description of certain recommendations by way of guidance points are superficial and confusing. It lays stress on the necessity to transform organisations for the future as well as on comprehensive feedback from key stakeholders. Research Limitation/implication: The latest version of The EFQM Model was published in November 2019, and general knowledge related to this version is naturally limited. Published studies or publicly available experience completely absent. That is why a more in-depth literature review focused on the latest version of The EFQM Model could not be included in this text. Originality/Value of paper: The paper brings an original set of information that was not published yet before. The value of this set should be examined not only from theoretical but primarily from a practical viewpoint.
{"title":"The New EFQM Model: What is Really New and Could Be Considered as a Suitable Tool with Respect to Quality 4.0 Concept?","authors":"Jaroslav Nenadál","doi":"10.12776/qip.v24i1.1415","DOIUrl":"https://doi.org/10.12776/qip.v24i1.1415","url":null,"abstract":"Purpose: The paper offers a set of original information based on critical analysis of description two last versions of excellence models presented by the European Organisation for Quality Management (EFQM). The principle goal is to present the main advantages and weaknesses of the latest version of The EFQM Model, especially from a practical point of view with respect to a Quality 4.0 era. Methodology/Approach: Comparative analysis of two relevant documents (EFQM, 2012; EFQM, 2019a) was used as a key method. Discussions with 18 quality professionals from Czech production organisations served as a complementary approach. Findings: The basic structure of a new model was completely changed. But the description of certain recommendations by way of guidance points are superficial and confusing. It lays stress on the necessity to transform organisations for the future as well as on comprehensive feedback from key stakeholders. Research Limitation/implication: The latest version of The EFQM Model was published in November 2019, and general knowledge related to this version is naturally limited. Published studies or publicly available experience completely absent. That is why a more in-depth literature review focused on the latest version of The EFQM Model could not be included in this text. Originality/Value of paper: The paper brings an original set of information that was not published yet before. The value of this set should be examined not only from theoretical but primarily from a practical viewpoint.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"57 1","pages":"17-28"},"PeriodicalIF":1.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85446448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The purpose of this study is to examine the significance and the role of supplier rating as a formalised supplier quality measure to achieve better- negotiated prices and to identify price premium resulting from improved rating. Methodology/Approach: Data from real B2B environment of electronic reverse auction SW solution ProeBiz were obtained and processed. Data from the reverse rating approach were used where the default rating value is 1 and improvements of rating lead to decreasing the rating value. Except standard descriptive statistics, non-parametric correlation and Kruskal-Wallis tests, the knowledge discovery techniques by decision trees CHAID algorithm were used. Findings: From our empirical research results, there is the evidence of a significant positive relation of supplier quality or rating improvements on a negotiated price for suppliers. Improving rating from the default value (1.00) to (0.98-0.95) can lead to better- negotiated prices for suppliers in English auction expressed as price premium in the value of 4%. Research Limitation/implication: Research has several limitations, esp. in the size of the sample and sectorial view as the research is based on data from construction, electro-mechanics and logistics sector. Originality/Value of paper: The paper is original and not published in other publications.
{"title":"The Role of Supplier Quality in e-Procurement Negotiation","authors":"R. Delina, Mária Michňová, P. Huska, J. Spisak","doi":"10.12776/qip.v24i1.1388","DOIUrl":"https://doi.org/10.12776/qip.v24i1.1388","url":null,"abstract":"Purpose: The purpose of this study is to examine the significance and the role of supplier rating as a formalised supplier quality measure to achieve better- negotiated prices and to identify price premium resulting from improved rating. Methodology/Approach: Data from real B2B environment of electronic reverse auction SW solution ProeBiz were obtained and processed. Data from the reverse rating approach were used where the default rating value is 1 and improvements of rating lead to decreasing the rating value. Except standard descriptive statistics, non-parametric correlation and Kruskal-Wallis tests, the knowledge discovery techniques by decision trees CHAID algorithm were used. Findings: From our empirical research results, there is the evidence of a significant positive relation of supplier quality or rating improvements on a negotiated price for suppliers. Improving rating from the default value (1.00) to (0.98-0.95) can lead to better- negotiated prices for suppliers in English auction expressed as price premium in the value of 4%. Research Limitation/implication: Research has several limitations, esp. in the size of the sample and sectorial view as the research is based on data from construction, electro-mechanics and logistics sector. Originality/Value of paper: The paper is original and not published in other publications.","PeriodicalId":44057,"journal":{"name":"Quality Innovation Prosperity-Kvalita Inovacia Prosperita","volume":"4 1","pages":"29-39"},"PeriodicalIF":1.5,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74902455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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