scholarly journals Factors to Determine Business Intelligence Implementation in Organizations

2017 ◽  
Vol 2 (12) ◽  
pp. 1 ◽  
Author(s):  
Michael Smith Moreno Saavedra ◽  
Christian Bach
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Business Intelligence ◽  
User Satisfaction ◽  
Theoretical Perspective ◽  
Managerial Decision ◽  
Time Optimization ◽  
Using Data ◽  
The Right ◽  
Key Aspects

In this study, we deploy review centric research of User Satisfaction, Cost Reducing, and Time Optimization impacting decision making on whether to implement Business Intelligence in organizations. The purpose of this paper is to present a literature review to examine the association between Business Intelligence and these three different factors. The primary goal of this study was to investigate the user’s satisfaction, cost reducing, and time optimization implications in order to choose Business Intelligence as a business tool. A comprehensive literature review of business intelligence created a theoretical foundation for this paper. Using the grounded theory, a model was developed and evaluated based on how User Satisfaction, Cost Reducing and Time Optimization impacts managerial decision-making using Business Intelligence. Using data from JSTOR and Academic Search Premier databases a new model is presented to encapsulate the highly dynamic interaction of user satisfaction, cost reducing, and time optimization with business intelligence to provide elements to consider the implementation of BI in a firm. This model highlights three key aspects that administrators consider in order to determine the possibility of taking Business Intelligence as an instrument in their daily duties. The theoretical model is limited to three factors only, which could be extended in future studies on this topic. Moreover, this model has been discussed using a theoretical perspective whereas practical contributions has been given less attention. This study provides an exciting opportunity to advance our knowledge of business intelligence to efficiently and flexibly help companies make the right decisions in real time, grasp business opportunities, and gain competitive advantage.

Perceived Effectiveness of Artificial Intelligence based Decision Support System in a Clinical Setting: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Avishek Choudhury
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Decision Support ◽  
Literature Review ◽  
Decision Support System ◽  
Support System ◽  
Clinical Setting ◽  
Clinical Decision Making ◽  
Theoretical Perspective ◽  
Care Providers

UNSTRUCTURED Objective: The potential benefits of artificial intelligence based decision support system (AI-DSS) from a theoretical perspective are well documented and perceived by researchers but there is a lack of evidence showing its influence on routine clinical practice and how its perceived by care providers. Since the effectiveness of AI systems depends on data quality, implementation, and interpretation. The purpose of this literature review is to analyze the effectiveness of AI-DSS in clinical setting and understand its influence on clinician’s decision making outcome. Materials and Methods: This review protocol follows the Preferred Reporting Items for Systematic Reviews and Meta- Analyses reporting guidelines. Literature will be identified using a multi-database search strategy developed in consultation with a librarian. The proposed screening process consists of a title and abstract scan, followed by a full-text review by two reviewers to determine the eligibility of articles. Studies outlining application of AI based decision support system in a clinical setting and its impact on clinician’s decision making, will be included. A tabular synthesis of the general study details will be provided, as well as a narrative synthesis of the extracted data, organised into themes. Studies solely reporting AI accuracy an but not implemented in a clinical setting to measure its influence on clinical decision making were excluded from further review. Results: We identified 8 eligible studies that implemented AI-DSS in a clinical setting to facilitate decisions concerning prostate cancer, post traumatic stress disorder, cardiac ailment, back pain, and others. Five (62.50%) out of 8 studies reported positive outcome of AI-DSS. Conclusion: The systematic review indicated that AI-enabled decision support systems, when implemented in a clinical setting and used by clinicians might not ensure enhanced decision making. However, there are very limited studies to confirm the claim that AI based decision support system can uplift clinicians decision making abilities.

scholarly journals Proses Pengambilan Keputusan

2019 ◽  
Author(s):  
yola febriani ◽  
Hade Afriansyah ◽  
Rusdinal
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Literature Review ◽  
Creative Thinking ◽  
Human Life ◽  
Decision Makers ◽  
New Information ◽  
The Right ◽  
Alternative Solutions ◽  
Made In

This article aims to describe how is the process of decision making. Decision making is something that is never separated from human life, both simple decision making and complex problems. Everyone is always faced with the choice to take a decision. To be able to take the right decisions, every person should know the steps. This article presents what the decision-making steps and what is the importance of creative thinking in decision making. Creative thinking will help decision makers to improve the quality and effectiveness of problem solving and decision making results were made. In relation to the process of decision making, creative thinking is needed, especially in identifying problems and develop alternative solutions. The methodology used to arrange this article is Systematic Literature Review (SLR). First, researcher find relevant theories, and then make a conclusion about it, then analyzing, and finally make a new information based researcher analyzing.

scholarly journals Proses Pengambilan Keputusan

2019 ◽  
Author(s):  
yola febriani ◽  
Hade Afriansyah ◽  
Rusdinal
Keyword(s):  
Decision Making ◽  
Problem Solving ◽  
Literature Review ◽  
Creative Thinking ◽  
Human Life ◽  
Decision Makers ◽  
New Information ◽  
The Right ◽  
Alternative Solutions ◽  
Made In

This article aims to describe how is the process of decision making. Decision making is something that is never separated from human life, both simple decision making and complex problems. Everyone is always faced with the choice to take a decision. To be able to take the right decision, every person should know the steps. This article presents what the decision making steps and what is the importance of creative thinking in decision making. Creative thinking will help decision makers to improve the quality and effectiveness of problem solving and decision making results were made. In relation to the process of decision making, creative thinking is needed, especially in identifying problems and develop alternative solutions. The methodology used to arrange this article is Systematic Literature Review (SLR). First, researcher find relevant theories, and then make a conclusion about it, then analyzing, and finally make a new information based researcher analyzing

scholarly journals The Effect Of Mobile BI On Organisational Managerial Decision-Making

2014 ◽  
Vol 30 (4) ◽  
pp. 1003 ◽  
Author(s):  
Yasser Buchana ◽  
Visvanathan Naicker
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Business Processes ◽  
Information Resources ◽  
Mobile Business ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
New Era ◽  
It Systems ◽  
Decision Making Processes

<p>Managerial decision-making has always involved the use of numerous distinct information resources. Modern managerial decision-making processes require a wealth of information that is enhanced and transformed into knowledge in order to take effective action. Mobility in business is increasingly exercising influence on core business processes of organisations. Recent advances in wireless technologies coupled with the rapid growth of mobile devices in business have led to a new era in business computing. Mobile Business Intelligence (Mobile BI) is a system that has been conceived to assist, accelerate and to enhance the managerial decision-making processes. Drawing from an array of previous studies that attempted to measure the value of Business Intelligence (BI) and other IT systems in organisations, this study develops a new kind of measure which is based on an understanding of the distinct properties of Mobile BI systems in an organisational-oriented context.</p>

scholarly journals Key success factors to business intelligence solution implementation

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
José Manuel Villamarín García ◽  
Beatriz Helena Díaz Pinzón
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Business Intelligence ◽  
Success Factors ◽  
Organizational Outcomes ◽  
Decision Making Process ◽  
Research Results ◽  
Key Success Factors ◽  
Review Analysis ◽  
Improve Planning

Business intelligence (BI) solutions have been adopted within organizations as amean to achieve a more grounded decision making process that results in better organizational outcomes. Nowadays, about 70% to 80% of business intelligence implementation projects fail due to both technological and managerial issues. Multi-methodology proposed by Mingers (2006) was followed to develop the research in four phases: appreciation, where documental search wasconducted through a literature review; analysis, where hypothetical structures related with the key success factors were proposed; assessment, where key success factors were assessed along with experts; and action, where research results discussion was shown. As a result, 13 factors that affect the business intelligence solution’s success were identified. Those factors contributeto improve planning and implementation of business intelligence projects, accomplishing in a greater extent the purposes of these projects.

Organizational adoption of 3D printing technology: a semisystematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Desiree Valeria Ukobitz
Keyword(s):  
Decision Making ◽  
3D Printing ◽  
Literature Review ◽  
Strategic Decision ◽  
Future Research ◽  
Managerial Decision ◽  
Organizational Adoption ◽  
Content Type ◽  
Theoretical Concepts ◽  
The Impact

PurposeThree-dimensional (3D) printing (3DP) offers a promising value proposition across multiple manufacturing industries. Despite the variety of production benefits the technology entails, its rate of adoption is still low compared to industry forecasts. In face of this challenge, industry as well as academia requires more information and guidance. This review aims to examine the characteristics of the existing body of research on the organizational adoption of 3DP as well as its underlying theoretical concepts. The most common criteria driving adoption will be derived, such as to facilitate the managerial decision-making process. Pathways for future research will be presented.Design/methodology/approachThis study underlies a bibliometric literature review and additionally applies content analysis to systematically investigate the existing body of research and group decision criteria along the four major pillars of strategic decision-making.FindingsThe contributions of this paper are threefold. First, the bibliometric analysis reveals interesting aspects of the existing body of research. The most prominent characteristics of the contemporary literature are reflected along descriptive indicators, such as industry, method, model, origin, research outlet or adoption drivers, thus granting relevant insights into academia and practice. Second, the most notable adoption models are carefully analyzed on their inherent attributes and their application fit for the context of organizational 3DP adoption. Findings, for instance, revealed the dominance of diffusion of innovation (DOI) across the existing body of research and divulge that this construct is generally applied in combination with user-centered decision frameworks to yield more precise results. Third, an ample range of opportunities for future research are detected and thoroughly explained. Among others, the authors identified a clear lack of information on the impact environmental variables and contingency factors exerted on the organizational adoption of 3DP. Guidance in relation to the sourcing of industry data, usage of adoption frameworks and avenues for future scientific projects is supplied.Originality/valueThis study represents the first semi-systematic literature review on the organizational adoption of 3DP. Thus, it not only offers a valuable evaluation guide for potential adopters but also determines a future research agenda.

The Elections to Nonterritorial Autonomies of Central and South Eastern Europe

2019 ◽  
Vol 48 (2) ◽  
pp. 289-306 ◽  
Author(s):  
Balázs Dobos
Keyword(s):  
Decision Making ◽  
Eastern Europe ◽  
Minority Groups ◽  
Theoretical Perspective ◽  
Formal Group ◽  
Diversity Management ◽  
Theory And Practice ◽  
Community Relations ◽  
Cultural Autonomy ◽  
The Right

AbstractIn managing ethno-cultural diversity, several countries in Central and Eastern Europe refer to the notion of nonterritorial/cultural autonomy in their legislation and policies, and in some of them, namely Croatia, Estonia, Hungary, Serbia, and Slovenia, registered minority voters are granted the right to create their own representational, consultative, or decision-making bodies by direct or indirect elections. While a growing body of literature has examined the functioning of these elected minority councils/self-governments at various levels, numerous features of their elections have not been addressed. Elections, commonly understood as formal group decision-making processes, may fulfill various functions both in theory and practice, and these are highly context-dependent. In this regard, little is known about the role played by minority elections in intra-community relations, and whether and how these elections can contribute to increasing legitimacy and accountability and strengthening the political weight and influence of the respective minority groups. This article seeks to address these issues. Written from a theoretical perspective, but based on electoral statistics and country experiences, it comparatively explores the main issues related to the special minority elections in the five countries of analysis and assesses whether they can be considered successful forms of diversity management.

scholarly journals Decision making in the context of business intelligence and data quality

2009 ◽  
Vol 11 (2) ◽  
Author(s):  
L. Marshall ◽  
R. De la Harpe
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Business Intelligence ◽  
Information Quality ◽  
Poor Quality ◽  
Quality Of Data ◽  
Literature Study ◽  
Business Confidence ◽  
The Right

[email protected] Making decisions in a business intelligence (BI) environment can become extremely challenging and sometimes even impossible if the data on which the decisions are based are of poor quality. It is only possible to utilise data effectively when it is accurate, up-to-date, complete and available when needed. The BI decision makers and users are in the best position to determine the quality of the data available to them. It is important to ask the right questions of them; therefore the issues of information quality in the BI environment were established through a literature study. Information-related problems may cause supplier relationships to deteriorate, reduce internal productivity and the business' confidence in IT. Ultimately it can have implications for an organisation's ability to perform and remain competitive. The purpose of this article is aimed at identifying the underlying factors that prevent information from being easily and effectively utilised and understanding how these factors can influence the decision-making process, particularly within a BI environment. An exploratory investigation was conducted at a large retail organisation in South Africa to collect empirical data from BI users through unstructured interviews. Some of the main findings indicate specific causes that impact the decisions of BI users, including accuracy, inconsistency, understandability and availability of information. Key performance measures that are directly impacted by the quality of data on decision-making include waste, availability, sales and supplier fulfilment. The time spent on investigating and resolving data quality issues has a major impact on productivity. The importance of documentation was highlighted as an important issue that requires further investigation. The initial results indicate the value of

A survey on recent research in business intelligence

2014 ◽  
Vol 27 (6) ◽  
pp. 831-866 ◽  
Author(s):  
Martin Aruldoss ◽  
Miranda Lakshmi Travis ◽  
V. Prasanna Venkatesan
Keyword(s):  
Literature Review ◽  
Business Intelligence ◽  
Design Methodology ◽  
Information Needs ◽  
Theoretical Perspective ◽  
Security And Privacy ◽  
Ongoing Research ◽  
Content Type ◽  
Problems And Solutions ◽  
Comprehensive Survey

Purpose – Business intelligence (BI) has been applied in various domains to take better decisions and it provides different level of information to its stakeholders according to the information needs. The purpose of this paper is to present a literature review on recent works in BI. The two principal aims in this survey are to identify areas lacking in recent research, thereby offering potential opportunities for investigation. Design/methodology/approach – To simplify the study on BI literature, it is segregated into seven categories according to the usage. Each category of work is analyzed using parameters such as purpose, domain, problem identified, solution applied, benefit and outcome. Findings – The BI contribution in various domains, ongoing research in BI, the convergence of BI domains, problems and solutions, results of congregated domains, core problems and key solutions. It also outlines BI and its components composition, widely applied BI solutions such as algorithm-based, architecture-based and model-based solutions. Finally, it discusses BI implementation issues and outlines the security and privacy policies adopted in BI environment. Research limitations/implications – In this survey BI has been discussed in theoretical perspective whereas practical contribution has been given less attention. Originality/value – A comprehensive survey on BI which identifies areas lacking in recent research and providing potential opportunities for investigation.

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