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.

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.

scholarly journals New service development in e‐government: identifying critical success factors

2010 ◽  
Vol 4 (1) ◽  
pp. 95-118 ◽  
Author(s):  
Spyros Angelopoulos ◽  
Fotis Kitsios ◽  
Thanos Papadopoulos
Keyword(s):  
Public Sector ◽  
Critical Success Factors ◽  
Success Factors ◽  
Theory And Practice ◽  
Electronic Government ◽  
Service Development ◽  
Successful Implementation ◽  
New Service Development ◽  
Content Type ◽  
Critical Success

PurposeThe purpose of this paper is to suggest a model that incorporates critical factors contributing to the success in new service development (NSD) projects in electronic government (e‐government).Design/methodology/approachAfter a brief introduction to e‐government and NSD in respect to models for successful implementation, the authors justify and build on the existing literature that advocates the use of critical success factors (CSFs) to study the implementation of these projects. They suggest a model that incorporates the determinants of success or failure for a new service through a set of variables.FindingsThis paper proposes a framework, which is believed to help with the empirical research of CSF in NSD. The suggested framework attempts to bring experience in leadership and coordination of work theory and practice together by synthesising the existing literature with real‐life experience.Research limitations/implicationsThe paper contributes to the e‐government implementation literature in terms of suggesting a model that takes under consideration important CSF for implementing NSD.Practical implicationsThe projects a number of implications for public sector scholars as well as administrators. A vast amount of taxpayer money can be saved if decision makers can promptly identify potential waste of funds in prone‐to‐failure projects.Originality/valueThe research aims at providing a better understanding of the underlying factors and dimensions that describe NSD in e‐government through the suggestion of a model that takes under consideration important CSF for implementing NSD. Therefore, it expands the scope of NSD research in e‐government context, stating the need for more research to be conducted regarding the NSD in e‐government using CSF. By identifying the potential success or failure of future projects a number of implications for public sector scholars as well as administrators comes to light.

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.

Critical success factors of TQM, Six Sigma, Lean and Lean Six Sigma

2018 ◽  
Vol 25 (9) ◽  
pp. 3479-3504 ◽  
Author(s):  
Raja Sreedharan V. ◽  
Vijaya Sunder M. ◽  
Raju R.
Keyword(s):  
Six Sigma ◽  
Critical Success Factors ◽  
Success Factors ◽  
Lean Six Sigma ◽  
Future Research ◽  
Successful Implementation ◽  
Total Quality ◽  
Content Type ◽  
Critical Success ◽  
The Future

Purpose The purpose of this paper is to review the existing literature on the critical success factors (CSFs) of various continuous improvement (CI) like total quality management (TQM), Lean, Six Sigma and Lean Six Sigma (LSS), and perform a content analysis (CA) leading to an agenda for future research. Design/methodology/approach CA is based on literature review of 41 papers published in peer-reviewed scholarly journals. A four-stage methodology is used by the authors, with Stage 1 featuring relevant material collection; Stage 2 presenting a descriptive analysis; Stage 3 outlining the category selection; and Stage 4 featuring the material evaluation using clustering and Pareto analysis. Findings The CA revealed various research implications and directions for the future. The number of studies in the literature regarding CSF assessment is found to be far from substantial while compared to CI implementation. Assessment methodologies developed have been ranging from qualitative to quantitative models. Key gaps were identified and directions for CSF assessment are proposed which requires further validation. Research limitations/implications Only articles that appeared in peer-reviewed journals were analyzed; conference papers, reports, manuals and white papers from practice were excluded. Another limitation of the paper would be the scope of CA limited to four CI constructs – TQM, Lean, Six Sigma and LSS. Research implications indicate that the future studies in this domain would be intensive toward analyzing the vital CSFs for enterprise organizational excellence and not merely process excellence. Practical implications This review study can serve as a resource for both researchers and practitioners to understand the importance of CSFs and positioning CSFs for the successful implementation of CI programs. Originality/value The CA on the existing literature on CSFs for CI presents a unique, systematic effort to identify an agenda for future research. This study is the apparently the first of its kind on CSF assessment.

Critical success factors for sustainable construction: a literature review

2019 ◽  
Vol 30 (1) ◽  
pp. 176-196 ◽  
Author(s):  
Eleni Sfakianaki
Keyword(s):  
Literature Review ◽  
Critical Success Factors ◽  
Success Factors ◽  
Empirical Work ◽  
Research Area ◽  
Sustainable Construction ◽  
Future Research ◽  
Successful Implementation ◽  
Content Type ◽  
Critical Success

Purpose The purpose of this paper is to synthesize and evaluate the available literature with respect to critical success factors (CSFs) for sustainable construction (SC). Design/methodology/approach A systematic literature review (SLR) was undertaken to assist in the identification of the most pertinent papers from three publishers: Emerald, Elsevier and Wiley. The literature findings were assessed and presented relative to publication, author and contents as determined by review. Findings The SLR was conducted using a number of search criteria. A final set of 31 publications were detected for further examination. The characteristics in terms of publications, authors and contents of the extracted publication set were examined and discussed. A total of 35 factors were identified, distributed in five research categories. The frequency of the extracted factors within the publication set was investigated and enabled valuable quantitative and qualitative observations of current trends for SC. Interestingly, all research categories were represented in the top-counted factors, demonstrating a holistic perception of SC. Given the publication set, in most aspects, the research area examined seems to demonstrate features of an emerging field, which is not yet well established. Research limitations/implications SLR cannot ensure that all pertinent publications were identified, because it was tailored to a number of search criteria, although certain actions were taken to moderate this limitation. However, the outcome adequately identifies trends and offers valuable information and knowledge for SC and its successful implementation. Originality/value The present study presents a broad list of factors for SC, integrated from a variety of disciplines and stakeholders. The findings, therefore, provide a valuable reference for both construction professionals and practitioners attempting to implement SC. Furthermore, the list can be of use to academic scholars for further empirical work and basis for future research.

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.

scholarly journals Critical Success Factors of Business Intelligence Implementation in Thai Hospitals

2021 ◽  
Vol 16 (4) ◽  
pp. 1-21
Author(s):  
Suwat Janyapoon ◽  
Jirapan Liangrokapart ◽  
Albert Tan
Keyword(s):  
Business Intelligence ◽  
Critical Success Factors ◽  
Success Factors ◽  
Healthcare Industry ◽  
Critical Success ◽  
Hospital Executives ◽  
Specific Factors ◽  
First Time ◽  
Insight Into

Business intelligence (BI) has become a popular among management executives of different industries. Many publications have mentioned Big Data and how to use data intelligently. However, little is known about how to successfully implement BI in the healthcare industry. The unique characteristic of this business, which focuses only on quality of care and patient safety, has a big impact on decision-making. This research is based on a literature review and empirical evidence collected from interviews with professionals involved in the healthcare industry. Twenty-four hospital executives and Information Technology staff who have direct or indirect experience with BI were interviewed. It investigates critical success factors for BI implementation in hospitals and provides insight into the healthcare industry in Thailand. The concept of grounded theory was applied for content analysis. Insights from this research contribute to academia and the healthcare industry by providing first-time evidence of specific factors for BI implementation and guidelines in hospitals.

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