Business Intelligence Implementation Critical Success Factors

2019 ◽  
pp. 112-129
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Data Analysis ◽  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Domain Experts ◽  
Critical Success ◽  
Decision Making Processes

Many organizations take business intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This chapter seeks to identify critical success factors (CSFs) that impact on the successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects. Robust exploratory factor analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational,” “human,” “project management,” and “technical.” The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.

An Investigation of BI Implementation Critical Success Factors in Iranian Context

2014 ◽  
Vol 5 (3) ◽  
pp. 41-57 ◽  
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Domain Experts ◽  
Critical Success ◽  
Decision Making Processes ◽  
Iranian Context

Nowadays, many organizations take Business Intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This paper seeks to identify critical success factors (CSFs) that impact on successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects in Iran. Robust Exploratory Factor Analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational”, “human”, “project management”, and “technical”. The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.

An Investigation of BI Implementation Critical Success Factors in Iranian Context

2016 ◽  
pp. 1935-1951
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji
Keyword(s):  
Decision Making ◽  
Factor Analysis ◽  
Data Analysis ◽  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Domain Experts ◽  
Critical Success ◽  
Decision Making Processes ◽  
Iranian Context

Nowadays, many organizations take Business Intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This paper seeks to identify critical success factors (CSFs) that impact on successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects in Iran. Robust Exploratory Factor Analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational”, “human”, “project management”, and “technical”. The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.

Critical Success Factors of Enterprise Data Analytics and Visualization Ecosystem

2019 ◽  
Vol 10 (3) ◽  
pp. 34-55
Author(s):  
Mohammad Daradkeh
Keyword(s):  
Decision Making ◽  
Data Analytics ◽  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Structured Interviews ◽  
Integrative Framework ◽  
Critical Success ◽  
Increasing Demand ◽  
Effective Decision Making

With the huge proliferation of Big Data, combined with the increasing demand for analytics-driven decision-making, the data analytics and visualization (DAV) ecosystem is increasingly becoming a trending practice that many enterprises are adopting to gain actionable insights from corporate data for effective decision-making. Although DAV platforms have tremendous benefits, extant research has paid insufficient attention to the investigation of the critical success factors (CSFs) underpinning their successful implementation in enterprises. In order to bridge this knowledge gap, this study presents an integrative framework synthesizing a set of CSFs for implementing DAV platforms in enterprises. A qualitative research methodology, comprising semi-structured interviews with IT and business analysts, was conducted to collect and analyze the interview data. Analysis of results revealed that the CSFs of DAV implementation exist in various dimensions composed of organizational, technological, process, and people perspectives. This study provides several theoretical and practical implications.

scholarly journals Stakeholder perceptions on critical success factors for public-private partnership projects in Nigeria

2016 ◽  
Vol 6 (1) ◽  
pp. 74-91 ◽  
Author(s):  
Solomon Olusola Babatunde ◽  
Srinath Perera ◽  
Lei Zhou ◽  
Chika Udeaja
Keyword(s):  
Factor Analysis ◽  
Critical Success Factors ◽  
Success Factors ◽  
Public Private Partnership ◽  
Successful Implementation ◽  
Test Analysis ◽  
Private Partnership ◽  
Content Type ◽  
Critical Success ◽  
Significant Difference

Purpose – The purpose of this paper is to identify and assess the perceptions of stakeholders on critical success factors (CSFs) for Public Private Partnership (PPP) projects in Nigeria. Design/methodology/approach – A comprehensive literature review was conducted to identify the CSFs for PPP projects, which were employed to design a questionnaire survey. In order to capture a broad perception of stakeholders, the questionnaires were administered to five different stakeholder organisations involved in different PPP projects implementation in Nigeria. Data collected were analysed using descriptive statistics, mean score, Kruskal-Wallis test, analysis of variance (ANOVA), and factor analysis. Findings – The study revealed the result of mean score ranking, which indicated that all the stakeholders considered the identified 26 CSFs important and crucial for the successful implementation of PPP projects in Nigeria. Thus, the results of Kruskal-Wallis test and ANOVA indicated that except for six (out of 26) identified CSFs, there is no statistically significant difference in the perceptions of the stakeholders on CSFs for PPP projects in Nigeria. The study, through factor analysis, grouped the 26 identified CSFs into six principal factors. Practical implications – This research would be of benefit to stakeholders in PPPs to be aware of CSFs that demand utmost consideration. Also the identified CSFs are expected to enhance the success rate of PPP projects. Originality/value – The findings would be useful for PPP stakeholders in making decisions and in implementing PPP projects towards achieving value for money. This research will also be of interest to other academic researchers intending to investigate CSFs for PPP projects in other locations.

Investigating Critical Success Factors in Implementing ITIL Framework

2015 ◽  
Vol 13 (1) ◽  
pp. 74-91 ◽  
Author(s):  
Mohammad Mehrabioun Mohammadi ◽  
Ahad Zare Ravasan ◽  
Homa Hamidi
Keyword(s):  
Information Technology ◽  
Critical Success Factors ◽  
Success Factors ◽  
Service Management ◽  
Successful Implementation ◽  
Structured Interviews ◽  
Technology Infrastructure ◽  
Domain Experts ◽  
Critical Success ◽  
Technology Service

Nowadays, many organizations adopt Information Technology Service Management (ITSM) best practices to enhance their IT service related processes. Although many organizations have adopted ITSM frameworks such as Information Technology Infrastructure Library (ITIL), not all have been successful. Keeping this in mind, this paper seeks to identify Critical Success Factors (CSFs) that impact on successful implementation of ITSM frameworks with a focus on ITIL in Iranian organizations as a case of a developing country. Hence, based on a mixed method, at first, with the semi-structured interviews and literature review, 22 success factors were identified. Following that, a questionnaire was developed and sent out to domain experts. Next, robust Exploratory Factor Analysis (EFA) was run for analyzing data and establishing construct validity which finally classified critical success factors into five groups named as “organizational”, “human resources”, “project management”, “managerial” and “process”. The findings of this study have provided a very useful reference for IT standardization scholars and practitioners to identify the important issues of ITSM frameworks implementation projects in their research and practice.

scholarly journals Critical Success Factors for Implementing Business Intelligence Projects (A BI Implementation Methodology Perspective)

10.28945/4607 ◽  
2020 ◽  
Vol 15 ◽  
pp. 175-202
Author(s):  
Mina Ranjbarfard ◽  
Zeynab Hatami
Keyword(s):  
Failure Rate ◽  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Theory And Practice ◽  
Future Research ◽  
Successful Implementation ◽  
Project Implementation ◽  
Critical Success ◽  
Implementation Methodology

Aim/Purpose: The purpose of this paper is to identify Critical Success Factors (CSFs) for Business Intelligence (BI) implementation projects by studying the existing BI project implementation methodologies and to compare these methodologies based on the identified CSFs. Background: The implementation of BI project has become one of the most important technological and organizational innovations in modern organizations. The BI project implementation methodology provides a framework for demonstrating knowledge, ideas and structural techniques. It is defined as a set of instructions and rules for implementing BI projects. Identifying CSFs of BI implementation project can help the project team to concentrate on solving prior issues and needed resources. Methodology: Firstly, the literature review was conducted to find the existing BI project implementation methodologies. Secondly, the content of the 13 BI project implementation methodologies was analyzed by using thematic analysis method. Thirdly, for examining the validation of the 20 identified CSFs, two questionnaires were distributed among BI experts. The gathered data of the first questionnaire was analyzed by content validity ratio (CVR) and 11 of 20 CSFs were accepted as a result. The gathered data of the second questionnaire was analyzed by fuzzy Delphi method and the results were the same as CVR. Finally, 13 raised BI project implementation methodologies were compared based on the 11 validated CSFs. Contribution: This paper contributes to the current theory and practice by identifying a complete list of CSFs for BI projects implementation; comparison of existing BI project implementation methodologies; determining the completeness degree of existing BI project implementation methodologies and introducing more complete ones; and finding the new CSF “Expert assessment of business readiness for successful implementation of BI project” that was not expressed in previous studies. Findings: The CSFs that should be considered in a BI project implementation include: “Obvious BI strategy and vision”, “Business requirements definition”, “Business readiness assessment”, “BI performance assessment”, “Establishing BI alignment with business goals”, “Management support”, “IT support for BI”, “Creating data resources and source data quality”, “Installation and integration BI programs”, “BI system testing”, and “BI system support and maintenance”. Also, all the 13 BI project implementation methodologies can be divided into four groups based on their completeness degree. Recommendations for Practitioners: The results can be used to plan BI project implementation and help improve the way of BI project implementation in the organizations. It can be used to reduce the failure rate of BI implementation projects. Furthermore, the 11 identified CSFs can give a better understanding of the BI project implementation methodologies. Recommendation for Researchers: The results of this research helped researchers and practitioners in the field of business intelligence to better understand the methodology and approaches available for the implementation and deployment of BI systems and thus use them. Some methodologies are more complete than other studied methodologies. Therefore, organizations that intend to implement BI in their organization can select these methodologies according to their goals. Thus, Findings of the study can lead to reduce the failure rate of implementation projects. Future Research: Future researchers may add other BI project implementation methodologies and repeat this research. Also, they can divide CSFs into three categories including required before BI project implementation, required during BI project implementation and required after BI project implementation. Moreover, researchers can rank the BI project implementation CSFs. As well, Critical Failure Factors (CFFs) need to be explored by studying the failed implementations of BI projects. The identified CSFs probably affect each other. So, studying the relationship between them can be a topic for future research.

e-Business critical success factors: toward the development of an integrated success model

2017 ◽  
Vol 23 (5) ◽  
pp. 874-896 ◽  
Author(s):  
Loukas K. Tsironis ◽  
Katerina D. Gotzamani ◽  
Theofilos D. Mastos
Keyword(s):  
Information Technology ◽  
Factor Analysis ◽  
Supply Chain ◽  
Critical Success Factors ◽  
Success Factors ◽  
Fundamental Result ◽  
Successful Implementation ◽  
Content Type ◽  
Critical Success ◽  
Performance Results

Purpose e-Business (e-B) organization is an integrated synergy of internet and supply chain. It is an organizational environment which consists of associations among suppliers, customers, work force and information technology. An important issue for an e-B organization is the comprehension of the critical factors that affect its success, in order to realize its full advantages and how it results in efficiency improvements of the organizations. The purpose of this paper is twofold: first to identify the critical success factors (CSFs) that determine the successful implementation of e-B and second to develop an integrated e-B model based on the CSFs. Design/methodology/approach By following a quantitative approach, primary data were collected through a structured questionnaire from 174 Greek e-B firms. An initial exploratory factor analysis was conducted, followed by confirmatory factor analysis (CFA) and structural equation modeling (SEM). Findings Findings have shown that there was a direct association of the Resource Based View (RBV) on the supply chain view (SCV) of a firm, which in turn influenced the performance/results of an e-B organization. It is concluded that e-B performance results and value creation are linked to customers’ and partners’ orientation (SCV) and human resources and information technology (RBV). Originality/value The proposed framework contributes to the understanding of the successful implementation of e-B, by proposing a fifthfold framework. The proposed framework portrayed a very fundamental result, that the resourced based view and the SCV of the organization are the critical priorities and have a direct and positive affect on the performance and efficiency of the successful implementation of e-B.

Quality 4.0 conceptualisation and theoretical understanding: a global exploratory qualitative study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiju Antony ◽  
Olivia McDermott ◽  
Michael Sony
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Full Range ◽  
Senior Management ◽  
Successful Implementation ◽  
Motivating Factors ◽  
Theoretical Understanding ◽  
Content Type ◽  
Critical Success ◽  
Management Professionals

PurposeQuality 4.0 has a unique potential to create a competitive advantage for organisations by improving customer experience and enhancing profitability. The purpose of this study is to examine Quality 4.0, the9; benefits, motivating factors, critical success factors and the skills required by quality professionals in the successful implementation of Quality 4.0. The study also investigates the organisational readiness factors9 and challenges that need to be addressed before Quality 4.0 adoption and assess their importance.Design/methodology/approachA qualitative interview approach was utilised by interviewing a panel of senior management, engineering and continuous improvement (CI); professionals working in leading companies in Asia, Europe and America who are currently deploying Quality 4.0.FindingsThis study provides a theoretical base for the Quality 4.0 body of knowledge in terms of an organisation’s adoption and overcoming implementation challenges and providing examples of Quality 4.0 application. Organisations can use this study to understand what Quality 4.0 means to industry, the benefits and motivating factors for implementing, the Critical Success Factors, challenges, the organisational readiness factors and the role of leadership in a Quality 4.0 deployment. In addition, the study looks at the skills required by future Quality 4.0 professionals in terms of hard skills, soft skills and a curriculum for educating future quality management professionals. The respondents cited that predictive analytics, sensors and tracking, and electronic feedback loops are the most critical technologies for driving Quality 4.0.Research limitations/implicationsOne of the limitations of this research was that as this area is a nascent area the researchers were limited in their literature review. The second limitation was that the study was based on 12 interviews. A more comprehensive longitudinal study would yield more data so that better and robust conclusions can be derived from the study.Originality/valueThis is the first empirical study on Quality 4.0, which captures the viewpoints of senior management professionals on a full range of topics related to Quality 4.0 motivation for deployment, implementation and readiness for its adoption.

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