ISSUES AND CHALLENGES IN BUSINESS INTELLIGENCE CASE STUDIES

2016 ◽  
Vol 78 (8-2) ◽  
Author(s):  
Azizah Abdul Rahman ◽  
Nooradilla Abu Hasan ◽  
Norminshah A. Lahad
Keyword(s):  
Decision Making ◽  
Data Management ◽  
Case Studies ◽  
Business Intelligence ◽  
Qualitative Method ◽  
User Acceptance ◽  
Three Dimensions ◽  
Implementation Project ◽  
Organization Process ◽  
The Impact

Business Intelligence (BI) has embarked on decision-making setting. This has influenced many organizations from different industries that are located in diverse regions to implement BI. Critical Successful Factors (CSF) becomes the guideline for the implementer to adopt BI successfully. However, lack of BI knowledge and weak consideration of BI CSF led to the failure of BI implementation project. Several issues and challenges have been identified during the BI implementation. In addition, other researchers rarely discussed this subject. Thus, the objective of this paper is to recognize the issues and challenges on BI implementation. Through qualitative method, BI practices systematically described the purpose of BI execution on selected organizations, industries and regions. It has given the path towards the issues and challenges of BI implementation. The identified issues and challenges are defining the business goal, data management, limited funding, training and user acceptance as well as the lack of expertise issues. The findings categorized the issues and challenges into three dimensions of CSF for BI implementation, which are Organization, Process and Technology dimension. Limitation in this study requires future researchers to study in details of these issues and challenges including the solutions and the impact of BI implementation.

scholarly journals Mobile Business Intelligence Acceptance Model for Organisational Decision Making

2018 ◽  
Vol 7 (4) ◽  
pp. 650-656
Author(s):  
Lim Yee Fang ◽  
Nurulhuda Firdaus Mohd Azmi ◽  
Yazriwati Yahya ◽  
Haslina Sarkan ◽  
Nilam Nur Amir Sjarif ◽  
...  
Keyword(s):  
Decision Making ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Business Intelligence ◽  
User Acceptance ◽  
Mobile Business ◽  
Organizational Decision Making ◽  
Related Data ◽  
Acceptance Model ◽  
The Impact

Mobile Business Intelligence (BI) is the ability to access BI-related data such as key performance indicators (KPIs), business metric and dashboard through mobile device. Mobile BI addresses the use-case of remote or mobile workers that need on-demand access to business-critical data. User acceptance on mobile BI is an essential in order to identify which factors influence the user acceptance of mobile BI application. Research on mobile BI acceptance model on organizational decision-making is limited due to the novelty of mobile BI as newly emerged innovation. In order to answer gap of the adoption of mobile BI in organizational decision-making, this paper reviews the existing works on mobile BI Acceptance Model for organizational decision-making. Two user acceptance models which are Technology Acceptance Model and Technology Acceptance Model for Mobile Services will be review. Realizing the essential of strategic organizational decision-making in determining success of organizations, the potential of mobile BI in decision-making need to be explore. Since mobile BI still in its infancy, there is a need to study user acceptance and usage behavior on mobile BI in organizational decision-making. There is still opportunity for further investigate the impact of mobile BI on organizational decision-making.

scholarly journals Characterizing Big Data Management

10.28945/2192 ◽  
2015 ◽  
Author(s):  
Rogério Rossi ◽  
Kechi Hirama
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Big Data ◽  
Data Management ◽  
Process Management ◽  
Three Dimensions ◽  
Storage And Retrieval ◽  
Human Aspects ◽  
Business Approach ◽  
Support Decision Making

[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] Considering that big data is a reality for an increasing number of organizations in many areas, its management represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial dimensions to facilitate the management of big data in any organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management must be supported by technology, people and processes; hence, this article discusses these three dimensions: the technologies for storage, analysis and visualization of big data; the human aspects of big data; and, in addition, the process management involved in a technological and business approach for big data management.

scholarly journals Defending the media from itself: Reforming media regulations to minimise the impact of misinformation

European View ◽  
2019 ◽  
Vol 18 (2) ◽  
pp. 210-219
Author(s):  
Juha-Pekka Nurvala ◽  
Amelia Buckell
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Case Studies ◽  
Search Engines ◽  
Behavioural Changes ◽  
Social Media Platforms ◽  
The Media ◽  
The Uk ◽  
The Impact

This article argues that media regulations on correcting incorrect articles are in dire need of reform due to technological and behavioural changes. By using case studies from the UK, the authors demonstrate the huge difference between the number of people who were reached by the original article before the Independent Press Standards Organisation (the regulator in the UK) ruled it incorrect and the number reached by the correction or corrected article. The authors argue that media regulations must be reformed to ensure that corrections reach the same people as the original incorrect article to avoid misinformation impacting peoples’ decision-making, and that reforms must include social media platforms and search engines.

scholarly journals Impact of theoretical perspectives on the design of mathematical modelling tasks

2020 ◽  
pp. 98-113
Author(s):  
Berta Barquero ◽  
Britta Eyrich Jessen
Keyword(s):  
Decision Making ◽  
Mathematical Modelling ◽  
Case Studies ◽  
Design Process ◽  
Task Design ◽  
Theoretical Framework ◽  
Research Field ◽  
Theoretical Perspectives ◽  
Epistemological Model ◽  
The Impact

In this paper, we discuss how the adoption of a particular theoretical framework affects task design in the research field of modelling and applications. With this purpose, we start by referring to the existence of different reference epistemological models about mathematical modelling to analyse better the consequences they have for decision making concerning designing modelling tasks and their implementation. In particular, we present the analysis of three case studies, which have been selected as representatives of different theoretical perspectives to modelling. We discuss the impact of the chosen reference epistemological model on the task design process of mathematical modelling and the local ecologies suited for their implementation.

scholarly journals How companies work and fail to work with business intelligence

2017 ◽  
Vol 7 (2) ◽  
Author(s):  
KLAUS SOLBERG SØILEN
Keyword(s):  
Decision Making ◽  
Balanced Scorecard ◽  
Business Intelligence ◽  
Organizational Decision Making ◽  
Performance Technology ◽  
Military Organizations ◽  
The Balanced Scorecard ◽  
English Grammar ◽  
Business Intelligence Systems ◽  
The Impact

Most papers in this issue deal with different sides of business intelligence systems. Empirical data froma number of countries and companies are gathered to illustrate how companies work and fail to workwith competitive intelligence.The paper by Alnoukari and Hanano, entitled “Integration of business intelligence with corporatestrategic management,” deals with the relationships between business intelligence and strategicmanagement. The paper proposes a BSC-BI framework that facilitates the integration of businessintelligence with the balanced scorecard methodology using an example of a case from the telecomindustry.The paper by Jürgens, “Patent bibliometrics and its use for technology watch,” is on the topic oftechnology watch and statistical analysis of patent information and proposes patent indicators fortechnology watch activities, which are classified into four categories: performance, technology, patentvalue and collaboration indicators. The case of nanotechnology for a whole country is applied asexample.The paper by Søilen, “Why care about competitive intelligence and market intelligence? The case ofEricsson and Swedish Cellulose Company (SCA),” tries to answer that question with an example of twoSwedish companies. The history of the intelligence function in private companies is compared to that ofstate and military organizations. The most interesting question turns out to be why more companiesdon't pay attention to CI and MI when so many arguments speak to their advantages.The paper by Gauzelin and Benz is entitled “An examination of the impact of business intelligencesystems on organizational decision making and performance: The case of France”. This empirical studyexamines the impact of business intelligence systems on organizational decision-making andperformance. They found that when BI systems are deployed in SMEs, they facilitate timely decisionmaking, improve organizational efficiency, enable a company to meet client’s needs appropriately andlead to more satisfied employees.The paper by Langlois and Chauvel is entitled “The impact of supply chain management on businessintelligence”. The authors argue for why it makes sense to see the BI function as an extension of supplychain management, but moreover they show how difficult it has become to separate BI from other ITintensive processes in the organization.As always, we would above all like to thank the authors for their contributions to this issue of JISIB.Thanks to Dr. Allison Perrigo for reviewing English grammar and helping with layout design for allarticles and to the Swedish Research Council for continuous financial support.

scholarly journals The Impact of Savings Groups on Female Agency: Insights from Village Savings and Loans Associations in Northern Ghana

2019 ◽  
Vol 9 (2) ◽  
pp. 133-146
Author(s):  
Kwarteng Amaning Theophilus ◽  
Sarfo-Mensah Paul
Keyword(s):  
Decision Making ◽  
Three Dimensions ◽  
Northern Ghana ◽  
Significant Finding ◽  
Female Agency ◽  
Savings And Loans ◽  
Group Activities ◽  
Women's Participation ◽  
The Impact ◽  
The Village

In this paper we examined how participation in savings groups like the Village Savings and Loans Associations (VSLAs) influence women’s agency in rural Ghana, i.e. their ability to freely participate in group activities and act on other issues and matters that affect them. Both quantitative and qualitative data were collected from VSLA and nonVSLA members to compare the effect between participants and nonparticipants. We used three dimensions of agency adapted from the Women's Empowerment in Agriculture Index (WEAI) to assess female agency: women’s participation and decision making in groups; women’s comfort with public speaking; and women’s decision making in their households. A significant finding of this study is that VSLA membership has enhanced the agency of female participants as they are more economically and socially active and can act on their own compared to women who did not use the savings group.

scholarly journals Construction of a knowledge based portal for agribusiness

2012 ◽  
Vol 51 (No. 11) ◽  
pp. 495-502
Author(s):  
J. Havlíček ◽  
L. Dömeová ◽  
I. Tichá
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Best Practice ◽  
Single Point ◽  
Three Dimensions ◽  
Access To Information ◽  
The Third ◽  
Knowledge Based ◽  
Software Packages ◽  
On Line

Virtual portal (VIPO) is designed to provide users with a single-point access to information, and tools to support their decision-making. VIPO illustrates the best practice presented in terms of case studies coded along three dimensions: field, domain and objectives. The second major source of knowledge is based on software packages made available to users including tutor support. The third part of the portal provides useful links to the existing databases which have the potential to facilitate decision making in agribusiness. All three pillars of the VIPO are complemented by on-line consultancy services.

scholarly journals Social Machines: How Recent Technological Advances have Aided Financialisation

2017 ◽  
Vol 32 (3) ◽  
pp. 234-250 ◽  
Author(s):  
Tiejun Ma ◽  
Frank McGroarty
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Financial Markets ◽  
Case Studies ◽  
Mobile Technology ◽  
Finance Industry ◽  
Complex Information ◽  
Social Machines ◽  
Speculative Trading ◽  
The Impact

In recent years, financial markets have been fundamentally transformed by innovations in information technology, in particular with regard to the web, social networks, high-speed computer networks and mobile technologies. We borrow the concept of Social Machines from Web Science as a single concept that captures the essence of all these recent technological changes to argue that the emergence of these Social Machines has aided the transformation of financial markets and society. This study explores the formation of these Social Machines with three sample disruptive technologies – automated/high-frequency trading, social network analytics and smart mobile technology. Through critical reflective analysis of these three case studies, we assess the impact of information technology innovation on financialisation. We adopt three case studies – automated trading; market information extraction using social media technologies; and information diffusion and trader decision-making with mobile technology on financial and real sector changes – which demonstrate the increasing trend of transaction velocity, speculative trading, increased complex information network, accelerated inequality and leverage. Our findings demonstrate that technologically enabled financial Social Machines harness crowd wisdom, engage disparate individual traders to produce more accurate price estimations, and have enhanced decision-making capability. However, these same changes can also have a simultaneously detrimental effect on financial and real sectors, in some situations exacerbating underlying distortions, such as misinformation due to complex information networks, speculative trading behaviour, and higher volatility with transaction velocity. Overall, we conclude that these innovations have transformed the fundamental nature of key aspects of the finance industry and society as a whole.

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