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.

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.

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 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.

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.

scholarly journals Critical Success Factors for Building Information Modelling Implementation

2018 ◽  
Vol 18 (3) ◽  
pp. 55-73 ◽  
Author(s):  
Ganiyu Amuda-Yusuf
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Development Education ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Critical Success ◽  
Building Information ◽  
Global Construction ◽  
Product And Process

Adoption of Building Information Modelling (BIM) in the global construction industry is fast growing. This paper expounds the Critical Success Factors (CSFs) for BIM implementation and explore their ranking and underlying relationships. A total of 28 CSFs was identified from the review of previous studies on success factors. Survey questionnaire containing these 28 factors was used to collect data from industry practitioners in Nigeria. Benchmark metrics was developed to rank the success factors. The topmost five success factors for BIM implementation in order of importance are: standard platforms for integration and communication; cost of development; education and training; standardization (product and process); and clear definition and understanding of users’ requirement. Analysis of variance shows that significant differences exist in the pattern of rating for the topmost CSFs based on turnover. Factor analysis was further adopted to group the 28 CSFs into five components, using rotated component matrix method. The five components extracted are: (i) industry stakeholders’ commitment and knowledge of BIM, (ii) capacity building for technology adoption, (iii) organisational support, (iv) collaborative synergy among industry professional and (v) cultural orientation. The rankings of the CSFs provide basis for prioritising the most significant factors that industry stakeholders should focus attention for successful implementation of BIM. In addition, the underlying relationships among the success factors identified in this study, will assist industry stakeholders to determine best strategy to adopt in implementing BIM at industry level.

A review on the identification of total productive maintenance critical success factors for effective implementation in the manufacturing sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudhir Chaurey ◽  
Shyamkumar D. Kalpande ◽  
R.C. Gupta ◽  
Lalit K. Toke
Keyword(s):  
Literature Review ◽  
Critical Success Factors ◽  
Success Factors ◽  
Manufacturing Sector ◽  
Successful Implementation ◽  
Critical Factors ◽  
Total Productive Maintenance ◽  
Content Type ◽  
Effective Implementation ◽  
Critical Success

PurposeThe purpose of this paper is to carry out the literature search on manufacturing organizations and total productive maintenance (TPM). This research aims at studying TPM attributes and barriers in line with the TPM framework for effective implementation of TPM. This study identifies the barriers in TPM implementation and the critical success factors (CSFs) for effective TPM implementation.Design/methodology/approachIn this manuscript, the study of TPM in the manufacturing sector has been considered a broad area of the research and emphasis on the TPM literature review, which primarily relates to the contribution of manufacturing sector and employment availability. Next sections covers TPM history, importance, justification, pillars, obstacles and TPM implementation procedure and models. Thereafter author identified the gaps in existing literature.FindingsThe existing literature shows that very few TPM implementation models are available for the manufacturing sector. The study also found that there is no systematically conducted large-scale empirical research which deals with TPM implementation. In order to bridge this gap, an investigation into the successful implementation of TPM in is truly needed. The finding of the literature shows that there is a need of TPM model specially developed for the manufacturing sector. The identified critical factors derived from the extensive literature review help to overcome the barriers for effective TPM implementation.Research limitations/implicationsThis review study is limited to Indian manufacturing industries. The identified TPM CSFs are based on the TPM pillars and their sub-factors. This cross-sectional study was based on the existing TPM model.Practical implicationsThis paper can increase the significance of TPM strategy, which could help managers of organizations to have a better understanding of the benefits of implementing TPM and therefore enable patient satisfaction within their organizations.Originality/valueThe literature review covers methodical identification of TPM barriers and critical factors for maintenance performance improvements. It allows the practitioners to apply these identified CSFs for TPM implementation to achieve an improvement in industrial performance and competitiveness.

Critical Success Factors of IS Implementation

2015 ◽  
Vol 3 (8) ◽  
pp. 192-212
Author(s):  
Iqbal Saad Al Saleh
Keyword(s):  
Information Technology ◽  
Critical Success Factors ◽  
Success Factors ◽  
Vital Role ◽  
Successful Implementation ◽  
Technological Factors ◽  
Is Implementation ◽  
Critical Success ◽  
Quality Of Products

Recently, the use of information technology has become important and critical, for organizations, as it enhance the quality of products and integrity of organizational services. However, the implementation of such systems is still problematic. Due to globalization and the variation in the monetary, social and technological environments, Information Systems (IS) have turned out to be an imperative feature and high priority for different kind of organizations. In this regard, critical success factors play a vital role in successful implementation of IS. This paper evaluates and analyzes the critical success factors (CSFs) of IS implementation from the Saudi managers’ perspective in different industries in Saudi Arabia. This study will also present the illustration or identification of 19 critical success factors, which are based on a review of literatures and the first phase of a study in Saudi industries. The study will also rank those 19 factors in a logical way and will characterize them into three categories of factors, including organisational, human and technological factors.

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