Factor Analysis of Critical Success Factors for Data Quality

Data quality issues impact an organization’s information system. Dirty data can damage every aspect of a business. In order to ensure data quality in information systems, it is important to understand the underlying factors that influence data quality. A research model was built based on the literature and previous case studies. In order to further develop and testing the research model for critical success factor for data quality in information systems, a large scaled survey was conducted and factor analysis were performed on the result of the survey. This paper provides a more scientific foundation for the research model of critical success factor for data quality. The study has theoretical and practical contributions to the field of data quality and information systems management

Critical Success Factors (Csf) for the Iso 9001 Implementation in UIN Sunan Kalijaga YOGYAKARTA

This study attempts to identify factors that are considered critical for the implementation of ISO 9001 in UIN Sunan Kalijaga Yogyakarta. In this study, data were obtained from interview and observation of documents related to the implementation of ISO 9001 in UIN Sunan Kalijaga Yogyakarta. The content analysis was used as an interpretation method for qualitative interviews data. Finding shows a number of factors that are considered critical in the implementation of ISO 9001. They are top management commitment and support, training, culture change, continuous improvement and performance measurement. Top management commitment and support is an important role for the success and sustainability of ISO 9001. The support can be in a form of their active participation in quality management activities. In addition, the provision of adequate resources as well as supporting quality policies is also critical for the ISO 9001 implementation in UIN Sunan Kalijaga. The other critical factor is the culture change that perceived as a strong foundation for the success of ISO 9001 implementation

Critical factors affecting consumer acceptance of online health communication: an application of service quality models

The paper examines critical factors affecting consumer behavioral intentions in accepting online health communication through social networking sites. Unlike recent research under this topic, the paper assimilates some components of service quality dimensions and consumer behavior theories. The paper employs factor analysis and structural equation modelling analysis with latent variables to identify critical factors from the survey data collected from Korean consumers. The results of the study identifies three major constructs: consumer needs for health information, the perceived value of tangible attributes of health information providers, and the perceived value of intangible attributes of health information providers. The results show that consumer needs for health information and the tangible and intangible attributes of health information providers should be considered as important antecedents of accepting online health communication through social networking sites. The findings suggest that the success of online health communication via social networking sites largely depends on the tangible and intangible attributes of health information providers

Examining Quality Factors Influencing the Success of Data Warehouse

Increased organizational dependence on data warehouse (DW) systems has drived the management attention towards improving data warehouse systems to a success. However, the successful implementation rate of the data warehouse systems is low and many firms do not achieve intended goals. A recent study shows that improves and evaluates data warehouse success is one of the top concerns facing IT/DW executives. Nevertheless, there is a lack of research that addresses the issue of the data warehouse systems success. In addition, it is important for organizations to learn about quality needs to be emphasized before the actual data warehouse is built. It is also important to determine what aspects of data warehouse systems success are critical to organizations to help IT/DW executives to devise effective data warehouse success improvement strategies. Therefore, the purpose of this study is to further the understanding of the factors which are critical to evaluate the success of data warehouse systems. The study attempted to develop a comprehensive model for the success of data warehouse systems by adapting the updated DeLone and McLean IS Success Model. Researcher models the relationship between the quality factors on the one side and the net benefits of data warehouse on the other side. This study used quantitative method to test the research hypotheses by survey data. The data were collected by using a web-based survey. The sample consisted of 244 members of The Data Warehouse Institution (TDWI) working in variety industries around the world. The questionnaire measured six independent variables and one dependent variable. The independent variables were meant to measure system quality, information quality, service quality, relationship quality, user quality, and business quality. The dependent variable was meant to measure the net benefits of data warehouse systems. Analysis using descriptive analysis, factor analysis, correlation analysis and regression analysis resulted in the support of all hypotheses. The research results indicated that there are statistically positive causal relationship between each quality factors and the net benefits of the data warehouse systems. These results imply that the net benefits of the data warehouse systems increases when the overall qualities were increased. Yet, little thought seems to have been given to what the data warehouse success is, what is necessary to achieve the success of data warehouse, and what benefits can be realistically expected. Therefore, it appears nearly certain and plausible that the way data warehouse systems success is implemented in the future could be changed

CRITICAL SUCCESS FACTORS OF JAVA PREANGER COFFEE CHAIN IN BANDUNG REGENCY

The Purpose of this research is to identify and analyse the critical success factor of Java Preanger Coffee  in achieving Competitive advantage. The method of these research is using qualitative methode using critical success factor analysis. Data analysis technique using descriptive analysis qualitative that compared obtained data with the theories. An Strategy to improve competitive advantage of coffee Java preanger will be the main objective of these researchThe factors that become the critical factor is aroma, serving methods, Price, Packaging, stock, roasting quality, innovation, roasting date, Serving quality, Barista role. Strategy to improve the product and make a market penetration to increase market competitiveness. Based on the result of analysis can be concluded that aroma and  roasting quality have a high point of critical sucess with score of 6.58 and 6.55 from maximum 7 points.  Packaging having the lowest score with 5.82 points. These results show us that the important role from coffee industry was the production, post harvest and processing factor that create an unique aroma and flavour for the competitive advantage and increase the benefit and value.The Purpose of this research is to identify and analyse the critical success factors of Java Preanger Coffee  in achieving Competitive advantage. The method of these research is using critical success factor analysis. The observation and data collected are used to describe factors affecting Java Preanger Coffee. The results found that the factors used for improvemen in competitive advantage of coffee Java preanger are aroma, serving methods, price, packaging, stock, roasting quality, innovation, roasting date, serving quality, and barista role. Based on the results can be concluded that aroma and  roasting quality have a high point of critical sucess with score of 6.58 and 6.55 from maximum 7 points.  Packaging has the lowest score with 5.82 points. Additionally, the important role of coffee industry was the production, post harvest and processing that create an unique aroma and flavour for the competitive advantage and increase the benefit and value

Strategi Pengembangan Pasar Tradisional yang Berorientasi pada Kepuasan Masyarakat di Surakarta

The purpose of this research is to understand critical success factors which is considered by customer in selecting market when they are do purchase and understand kind of strategy that management use to develop they own traditional market. Basic method which used in this research is descriptive analytic. Determining this research location is using purposive method, and for examining the critical success factors which are considered by customer, weight and attractiveness factors are asked to the market management chosen by purposive sampling method. The data collection is done by observation technique, interview, and recording method. Data analysis is conducted by Competitive Profile Matrix (CPM) and Quantitative Strategy Planning Matrix (QSPM) analysis. The critical success factors which are considered by customer are 13: they are price, kind of products are being sold, quantity of products being sold, safety aspect, cleanliness, quality of products are offered, services, market layout, convenience aspects, easiness of transportation access, facilities (parking spot, restroom, information center, etc.), spacious of market, and it's operating hours. The most critical success factor which has the biggest value is products price, it's about 0.12. Based on QSPM known that strategy recommendation to be applied by Market Management is to rearrange products grouping that shown by total fascination, it's about 3.21. In order to do the strategy, the Market Management has to use good communication due to its relation to market stakeholder

Critical success factor model framework for lean management application in industrialised building system (IBS) production

In Malaysia, Industrialised Building System (IBS) has been recognised as a potential solution in improving the deliverables of construction projects. However, the acceptance of this modern technology is still low. Most of the construction players prefer the conventional construction method which leads to a longer duration, lower productivity and poor quality of the building. The adoption of IBS requires systematic project management to ensure the best output in improving construction deliverables. Improper IBS project management can generate physical and non-physical waste in the production and construction tasks. This research aimed to evaluate on how to prevent waste and any types of loss during IBS construction by implementing lean management. This research examined the relation between critical factors in implementing lean management technique using the Interpretative Structural Modelling (ISM) method. In establishing ISM model, 51 influencing factors in implementing lean management based on lean construction key principles had been identified throughout an extensive literature review. The results from questionnaire survey identified 18 critical success factors for lean management adoption in IBS application. For further investigation, semi-structured interviews were conducted to collect the qualitative data for the critical factors. ISM analysis method was used to study the association between each critical success factor. The initial model was developed to promote the adoption of lean management technique in IBS construction. Deeper ISM analysis established a Matrice d’Impacts Croisés Multiplication Appliqués à un Classement (MICMAC). The MICMAC results in this research demonstrated that four important factors are categorised as Independent / Driving factors namely ‘planning’, ‘educate labour’, ‘modularisation’, and ‘standardisation’. These factors were explored in detail to drive the performance elements categorised in Dependent factor which is ‘reduce production time’. The findings provide a model that prioritised the critical success factors which lead to framework of lean management application in IBS production

Critical success factors for accounting information systems data quality

Quality information is critical to organisations’ success in today’s highly competitive environment. Accounting information systems (AIS) as a discipline within information systems require high quality data. However, empirical evidence suggests that data quality is problematic in AIS. Therefore, knowledge of critical factors that are important in ensuring data quality in accounting information systems is desirable. A literature review evaluates previous research work in quality management, data quality, and accounting information systems. It was found that there was a gap in the literature about critical success factors for data quality in accounting information systems. Based on this gap in the literature and the findings of the exploratory stage of the research, a preliminary research model for factors influence data quality in AIS was developed. A framework for understanding relationships between stakeholder groups and data quality in accounting information systems was also developed. The major stakeholders are information producers, information custodians, information managers, information users, and internal auditors. Case study and survey methodology were adopted for this research. Case studies in seven Australian organisations were carried out, where four of them were large organisations and the other three are small to medium organisations (SMEs). Each case was examined as a whole to obtain an understanding of the opinions and perspectives of the respondents from each individual organisation as to what are considered to be the important factors in the case. Then, cross-case analysis was used to analyze the similarities and differences of the seven cases, which also include the variations between large organisations and small to medium organisations (SMEs). Furthermore, the variations between five different stakeholder groups were also examined. The results of the seven main case studies suggested 26 factors that may have impact on data quality in AIS. Survey instrument was developed based on the findings from case studies. Two large-scale surveys were sent to selected members of Australian CPA, and Australian Computer Society to further develop and test the research framework. The major findings from the survey are: 1. respondents rated the importance of the factors consistent higher than the actual performance of those factors. 2. There was only one factor, ‘audit and reviews’, that was found to be different between different sized organisations. 3. Four factors were found to be significantly different between different stakeholder groups: user focus, measurement and reporting, data supplier quality management and audit and reviews. 4. The top three critical factors for ensuring data quality in AIS were: top management commitment, education and training, and the nature of the accounting information systems. The key contribution of this thesis is the theoretical framework developed from the analysis of the findings of this research, which is the first such framework built upon empirical study that explored factors influencing data quality in AIS and their interrelationships with stakeholder groups and data quality outcomes. That is, it is now clear which factors impact on data quality in AIS, and which of those factors are critical success factors for ensuring high quality information outcomes. In addition, the performance level of factors was also incorporated into the research framework. Since the actual performance of factors has not been highlighted in other studies, this research adds new theoretical insights to the extant literature. In turn, this research confirms some of the factors mentioned in the literature and adds a few new factors. Moreover, stakeholder groups of data quality in AIS are important considerations and need more attention. The research framework of this research shows the relationship between stakeholder groups, important factors and data quality outcomes by highlighting stakeholder groups’ influence on identifying the important factors, as well as the evaluation of the importance and p erformance of the factors

Relationship between statistical process control critical success factors and organizational performance

Statistical Process Control (SPC) is a statistical based techniques and methods used within the improvement based philosophy such as Total Quality Management (TQM) and Six Sigma. SPC research can be divided into two major categories: technical and methodological aspects and the organizational and the implementation aspects. Between the two, the organizational and the implementation aspects of SPC is almost being neglected and lack of attention being given by the researcher. Based on the literature, the SPC implementation research focuses on identifying factors for successful implementation. What is missing from this SPC implementation literature is the relationship of how these so called SPC critical factors affects quality and firm performance statistically and empirically. Therefore, the objective of this research is to establish the relationships between statistical process control (SPC) critical success factors (CSF) and quality and firm performance. Empirical data were collected from 326 responses from Malaysian automotive related companies using industrial survey research methodology. In study 1, Exploratory Factor Analysis (EFA) was performed using Promax rotation with Principle Axis Factoring to determine the underlying dimension of SPC success factors and organizational performance. Preliminary findings from EFA (n = 122) provided evidence for six (6) success factor constructs and three (3) organizational performance constructs. The six (6) success factor constructs are training, role of quality department, deployment, top management commitment, process focus and teamwork. In study 2, results from confirmatory factor analysis (CFA) (n = 204) provided additional support for results obtained from study 1. The structural equation modeling (SEM) techniques was employed to examine the relationship between these six (6) SPC critical success factors (CSF) and performance. The results show that there is a positive and significant relationship between these CSF and organizational performance. This research has a practical value in which quality and operation manager would be able to identify and relate the success of his or her SPC implementation projects through managing of these associated factors

Analysis of Critical Success Factors (CSF) in the Quality Assurance Project of PT. SVM

A development project of quality assurance is always planned to achieve a successful and satisfactory final project result. Many factors affect a quality assurance project's ability to achieve a successful final project result, called the Critical Success Factors. Conducting critical success factor analysis requires the company appropriate for the research, PT. SVM was selected as the subject of research. This research analyzes the Critical Success Factors (CSF) at PT. SVM in handling university quality assurance development projects in various cities in Indonesia. The research stages are the initial interview, literature review, data analysis and verification, and determining the result. The results of the CSF analysis in the literature matched with the verification results of CSF-related interviews. Based on 25 CSFs analyzed from the literature review, 23 CSFs were used in PT. SVM, and 2 CSFs were not obtained from the verification process at PT. SVM. Twenty-three factors are considered to determine the success of the quality assurance project at PT. SVM. This factor will be able to handle failures that occur by maximizing the success factors that have been analyzed. PT. SVM always carries out the organization of the people involved in the project. Project team skills and knowledge are essential not to burden other teams and to build effective direct communication. A project completed on time indicates success, teamwork, and the clear goal of the project, and teamwork is carried out directly, admonishing each other between the PIC and the project team. The PIC, or project manager, has an important role in PT.SVM in organizing the project and maximizing the 23 CSFs that have been analyze