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.

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 A Preliminary Systematic Performanceon Critical Success Factors Categories for Big Data Analytics

2019 ◽  
Vol 9 (1) ◽  
pp. 2320-2324 ◽  
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Critical Success Factors ◽  
Success Factors ◽  
Research Question ◽  
Big Data Analytics ◽  
Data Driven ◽  
Successful Implementation ◽  
Critical Success ◽  
Data Driven Decisions

Big Data could be used in any industry to make effective data-driven decisions. The successful implementation of Big Data projects requires a combination of innovative technological, organizational, and processing approaches. Over the last decade, the research on Critical Success Factors (CSFs) within Big Data has developed rapidly but the number of available publications is still at a low level. Developing an understandingof the Critical Success Factors (CSFs) and their categoriesare essential to support management in making effective data-driven decisions which could increase their returns on investments.There islimited research conducted on the Critical Success Factors (CSFs) of Big DataAnalytics (BDA) development and implementation.This paper aims to provide more understanding about the availableCritical Success Factors (CSFs) categoriesfor Big Data Analytics implementation and answer the research question (RQ) “What are the existing categories of Critical Success Factors for Big Data Analytics”.Based on a preliminary Systematic Literature Review (SLR) for the available publications related to Big Data CSFs and their categories in the last twelve years (2007-2019),this paper identifiesfive categoriesfor Big Data AnalyticsCritical Success Factors(CSFs), namelyOrganization, People, Technology, Data Management, and Governance categories.

scholarly journals Identification of the relationships between critical success factors, barriers and practices for lean implementation in a small company

2018 ◽  
Vol 15 (2) ◽  
pp. 232-246 ◽  
Author(s):  
Laís Pereira ◽  
Guilherme Tortorella
Keyword(s):  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Analysis Tool ◽  
Manufacturing Companies ◽  
Small Company ◽  
Structured Interviews ◽  
Lean Implementation ◽  
Critical Success ◽  
Multi Criteria Analysis

This article aims to identify how the critical success factors (CSF), barriers and practices for lean manufacturing (LM) implementation in a small company are related. For this, the CSF, barriers and practices of LM related to small companies were initially consolidated from a literature review. Through semi-structured interviews and focus groups with the leaders of a small electronics manufacturing company in lean implementation, the relationships were evaluated and ranked through the incorporation of a multi-criteria analysis tool. The integration of a multi-criteria analysis tool into qualitative research methods (focused groups, semi-structured interviews and participatory observation) allowed quantifying these relationships in order to identify convergent efforts for a successful LM implementation. Existing frameworks for lean implementation are targeted at larger companies, disregarding the specific small company context. This study provides a guide to assist LM implementation in small manufacturing companies. Furthermore, the greater understanding of these relationships enables managers to anticipate potential problems, allowing a more successful implementation.

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.

scholarly journals Team coaching in the workplace: Critical success factors for implementation

2019 ◽  
Vol 17 ◽  
Author(s):  
Badelisile M. Maseko ◽  
Rene Van Wyk ◽  
Aletta Odendaal
Keyword(s):  
Conceptual Framework ◽  
Employee Engagement ◽  
Critical Success Factors ◽  
Success Factors ◽  
Successful Implementation ◽  
Critical Factors ◽  
Structured Interviews ◽  
Enabling Factors ◽  
Critical Success ◽  
Team Coaching

Orientation: There is a scant availability of clear practice guidelines for the implementation of team coaching in organisations. Challenges and enabling factors in the implementation of team coaching require further exploration.Research purpose: This study aims to develop a conceptual framework that identifies the critical success factors that play a role in the implementation of team coaching in organisations.Motivation for the study: This study contributes towards the understanding of team coaching implementation in the workplace. Informed knowledge of critical factors may guide the practice of team coaching and assist in the development of a conceptual framework for such coaching.Research approach/design and method: A constructivist qualitative research method was adopted. A case study approach was used, with seven experienced subject matter experts selected by means of purposive snowballing. Data were collected using semi-structured interviews and analysed using thematic analysis.Main findings: Results of the thematic analysis indicate that to integrate successful team coaching into any organisation, effective analysis of an organisational context is required, that is, leadership stakeholders, team effectiveness, competency of a coach and employee engagement. Constraints that may prevent successful implementation of team coaching are identified.Practical/managerial implications: The findings provide a platform to enhance the understanding and knowledge of the complexities of team coaching within organisations.Contribution/value-add: The main contribution of the study is the identification of critical factors in the pre-, during and post-implementation phases of team coaching. This conceptual framework could serve as a guide for team coaching interventions in South African contexts.

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.

Critical success factors for post-disaster infrastructure recovery

2016 ◽  
Vol 25 (5) ◽  
pp. 685-700 ◽  
Author(s):  
Miao Liu ◽  
Eric Scheepbouwer ◽  
Sonia Giovinazzi
Keyword(s):  
Decision Making ◽  
Disaster Recovery ◽  
Critical Success Factors ◽  
Success Factors ◽  
Recovery Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
Content Type ◽  
Critical Success ◽  
Post Disaster

Purpose The purpose of this paper is to synthesise critical success factors (CSFs) for advancing post-disaster infrastructure recovery and underpinning recovery authorities in decision making when facing future disasters. Design/methodology/approach The seismic recovery after the Canterbury (NZ) earthquake sequence in 2010-2011 was selected as a case study for identifying CSFs for an efficient recovery of infrastructure post-disaster. A combination of research approaches, including archival study, observations and semi-structured interviews were conducted for collecting data and evidences by engaging with participants involved at various tiers in the post-disaster recovery and reconstruction. The CSFs are evaluated and analysed by tracking the decision-making process, examining resultant consequences and foreseeing onwards challenges. Findings Six salient CSFs for strengthening infrastructure recovery management after disasters are identified. Furthermore, the study shows how each of these CSFs have been incorporated into the decision-making process in support of the post-disaster recovery and what difficulties encountered in the recovery process when implementing. Practical implications The proposed CSFs provide a future reference and guidance to be drawn on by decision makers when project-managing post-disaster recovery operations. Originality/value The value of the paper is that it bridges the gap between managerial contexts and technical aspects of post-disaster recovery process in an effort to rapidly and efficiently rebuild municipal infrastructure.

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.

scholarly journals Exploring Critical Success Factors for Public Private Partnership Case Study: The Educational Sector in Egypt

2020 ◽  
Vol 6 (4) ◽  
pp. 142
Author(s):  
Riham Helmy ◽  
Nevien Khourshed ◽  
Mohamed Wahba ◽  
Alaa Abd El Bary
Keyword(s):  
Structural Equation ◽  
Critical Success Factors ◽  
Success Factors ◽  
Public Private Partnership ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Structured Interviews ◽  
Private Partnership ◽  
Survey Tool ◽  
Critical Success

This research aims to explore and identify the critical success factors (CSFs) needed to facilitate and guarantee the implementation of successful public private partnership (PPP) projects in the education sector in Egypt. Thus, the research proposed a CSFs model based on an exhaustive literature review to identify CSFs for PPPs’ successful implementation. The identified 21 CSFs were divided into four groups: political, legal, economic and financial as well as operational and managerial. A qualitative and quantitative analysis that involved semi-structured interviews and a questionnaire survey tool was applied to gather required data. Then, data were analyzed using the Nvivo program, correlation, and structural equation modeling (SEM) to test the hypothesis for the research. The results showed that the set of four CSFs groups which are political, legal, economic and financial as well as managerial and operational have positive significant impacts on successful PPP implementation in education in Egypt. Results also show that managerial and operational factors are the most significant factors followed by legal factors, political factors, then economic and financial factors. Finally, it is worth mentioning that the research findings provide the private sector investor with the direction, clarity and guidance essential to create the confidence needed to invest in the education market and programs in Egypt. It also provides public sector employees with a clear vision for the environment and conditions needed to embrace PPP projects in the sector of education in Egypt.

An Investigation Into the Critical Success Factors of Implementing Information Technology Service Management Frameworks

2018 ◽  
pp. 200-218 ◽  
Author(s):  
Ahad Zare Ravasan ◽  
Mohammad Mehrabioun Mohammadi ◽  
Homa Hamidi
Keyword(s):  
Information Technology ◽  
Critical Success Factors ◽  
Success Factors ◽  
Service Management ◽  
Successful Implementation ◽  
Structured Interviews ◽  
Technology Infrastructure ◽  
Critical Success ◽  
Technology Service ◽  
Information Technology Service

During the last decade, many organizations have adopted information technology service management (ITSM) frameworks such as information technology infrastructure library (ITIL). However, such efforts are challenging and costly and not all have been successful. Keeping this in mind, this chapter seeks to identify critical success factors (CSFs) that impact successful implementation of ITSM frameworks with a focus on ITIL. Hence, based on a mixed method, at first, with the semi-structured interviews and literature review, 22 success factors were identified. The data of 122 valid questionnaires were analyzed using robust exploratory factor analysis (EFA) to validate and categorize identified factors. Finally, 22 CSFs are categorized under five “organizational,” “human resources,” “project management,” “managerial,” and “process” main groups. 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 research and practice.

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