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

Author(s):  
Suwat Janyapoon ◽  
Jirapan Liangrokapart ◽  
Albert Tan

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.

2015 ◽  
Vol 3 (8) ◽  
pp. 192-212
Author(s):  
Iqbal Saad Al Saleh

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.


2011 ◽  
pp. 2039-2063
Author(s):  
William Yeoh ◽  
Jing Gao ◽  
Andy Koronios

Engineering asset management organisations (EAMOs) are increasingly motivated to implement business intelligence (BI) systems in response to dispersed information environments and compliance requirements. However, the implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet, so far, there are few defined critical success factors (CSFs) to which management can refer. Drawing on the CSFs framework derived from a previous Delphi study, a multiple-case design was used to examine how these CSFs could be implemented by five EAMOs. The case studies substantiate the construct and applicability of the CSFs framework. These CSFs are: committed management support and sponsorship, a clear vision and well-established business case, business-centric championship and balanced team composition, a business-driven and iterative development approach, user-oriented change management, a business-driven, scalable and flexible technical framework, and sustainable data quality and integrity. More significantly, the study further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.


2014 ◽  
Vol 5 (3) ◽  
pp. 41-57 ◽  
Author(s):  
Ahad Zare Ravasan ◽  
Sogol Rabiee Savoji

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.


Author(s):  
Balasubramaniam Krishnan ◽  
Seetharaman Arumugam ◽  
KoilaKuntla Maddulety

In the ‘industry 4.0’ era, the phenomenon of digitalization of smart cities has gained increasing prominence, as it has the potential to address the problem of resource optimization and the pressure of demand of the growing urban population. In the past, smart city initiatives may not have created desired impacts as these initiatives were limited in scope, focusing on physical digital integration of the underlying systems of cities and of their citizens. This article examines the success factors that affect the digitalization of smart cities based on secondary research. To achieve smart cities’ core objectives of increasing quality of living, providing efficient and optimal services, thereby making the functioning of the city smart through digitalization, it is essential to look at these critical success factors, namely, sustainability, ecosystems and digital citizen. The article points out important elements such as lack of governance of sustainability, methods and processes to enhance participation of digital citizens and inadequate knowledge about structures and value creation through ecosystems that would need to be addressed while digitalizing smart cities. Given the required policy attention and focus, these factors would be expected to make smart cities sustainable, improve the quality of life of citizens and create new economic opportunities, while digitalizing them.


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