A Multidisciplinary Overview of “Business Intelligence Systems” Concept and Maturity Criteria: A Study in the Logistics and Transportation Sector

Purpose – The purpose of this study was to identify the influence of organizational strategy, structure, process and culture on organizational effectiveness and the possible mediating role of business intelligence (BI) systems among them. Design/methodology/approach – Sample data for this study were collected from 225 organizational units in Bangladesh and analyzed using the partial least squares method, a statistical analysis technique based on the structural equation modeling. Findings – The results revealed that organizational factors, such as organizational strategy, structure, process, and culture positively affect both BI systems’ effectiveness and organizational effectiveness. Furthermore, BI systems’ effectiveness partially mediates the impact of organizational strategy, structure, process and culture on organizational effectiveness. Originality/value – BI systems are context-specific and can influence organizational effectiveness. Dearth in research on the influence of organizational factors to B...

Arabic Abstract: هدفت الدراسة إلى التعرف على واقع استخدام أنظمة ذكاء الأعمال وأثرها على التوجهات الريادية لبنك فلسطين-المحافظات الجنوبية، واعتمدت الدراسة على المنهج الوصفي التحليلي، وتم جمع البيانات الأولية للدراسة من خلال تطوير استبانة مكونة من ستة مجالات رئيسية تضمنت 39 فقرة، وتشكل مجتمع الدراسة من العاملين في الوظائف الإدارية المتقدمة في بنك فلسطين (مدير إدارة، مدير دائرة، مدير فرع) والبالغ عددهم 55 موظفا، واعتمد الباحثان على أسلوب الحصر الشامل، حيث تم توزيع (55) استبانة استرد منها (46) بنسبة (83%)، وتم تحليل الاستبانة واختبار فرضيات الدراسة بواسطة برنامج الحزم الإحصائية (SPSS)، وقد اظهرت النتائج أن واقع استخدام أنظمة ذكاء الأعمال بأبعادها (جمع وتحليل البيانات، إدارة أداء الأعمال، دعم الموقف التنافسي) قد حصل على تقدير مرتفع بمتوسط حسابي (3.85)، ووزن نسبي (77.0%). وقد اظهرت النتائج مستوى تحقق التوجهات الريادية بأبعادها مجتمعة (الاستباقية، المغامرة التنافسية، المخاطرة) قد حصل على تقدير مرتفع وبمتوسط حسابي (3.98) ووزن نسبي(79.6%). كما بينت النتائج وجود تأثير ذو دلالة إحصائية عند مستوى (α ≤ 0.05) لواقع استخدام أنظمة ذكاء الأعمال في مستوى تحقق التوجهات الريادية، حيث بلغت قيمة معامل التفسيرR2 (44.4%). وتوصي الدارسة الإدارة العامة للبنك بتطوير أنظمة ذكاء الأعمال بحيث تساهم بشكل أكبر في رصد قدرات وإمكانيات المنافسين واستراتيجياتهم التنافسية، وطرح خدمات مصرفية مبتكرة، ومزيد من خفض أسعار الخدمات وتخصيص الأموال الكافية للبحث والتطوير. English Abstract: The study aimed at identifying the reality of using business intelligence (BI) systems and its impact on entrepreneurial orientations of the bank of Palestine in southern governorates. To achieve the objectives of the study, the descriptive analytical approach was used , The Primary data collection achieved by developing a questionnaire consisting of six main areas, which included (39) paragraphs, The study population consisted of (55) employees working in senior management positions in the bank of Palestine includes director of administration, Director, and bank’s Branch Manager. The researchers adopted the complete census, Where (55) questionnaires were distributed, of which (46) were retrieved at a rate of (83%). The questionnaire was analyzed and the study hypotheses tested by the statistical package program (SPSS). Findings of the study showed that the reality of using business intelligence (BI) systems with its dimensions of (data collection and analysis, business performance management, and competitive position support) scored a high level, where its mean reached (3.85) with a relative weight of (77.0%). Also showed that the level of realizing the entrepreneurial orientations with its combined dimensions (proactive, competitive adventure, risk) scored a high level, where its mean reached (3.98) with a relative weight of (79.6%). The study also showed that there was a statistically significant effect at the level of (α ≤ 0.05) for the reality of using the business intelligence (BI) systems in the level of achieving entrepreneurial orientations, where the determination coefficient R2 scored (44.4%). The study recommends that the general administration of the bank should develop business intelligence (BI) systems to contribute more in monitoring competitors’ abilities, capacities and competitive strategies, furthermore, to offer innovation-baking service, and to reduce service prices and allocating sufficient funds for research and development.

This study explores the potential of business intelligence (BI) systems in facilitating digital healthcare marketing. The healthcare industry has undergone a digital transformation in recent years, with increasing use of digital channels for marketing and customer engagement. BI systems have emerged as a promising technology that can enable healthcare organizations to gain valuable insights into customer behavior, preferences, and trends. Despite the potential benefits of BI systems in healthcare marketing, there is a notable research gap in understanding the role and impact of these systems. This study aims to fill this gap by conducting a qualitative investigation into the experiences and perceptions of marketing professionals in the healthcare sector regarding the use of BI systems for marketing. The study employs a qualitative research design and collects data through in-depth interviews with marketing professionals in the healthcare industry. The analysis of the data reveals that BI systems can provide valuable insights for healthcare marketing, including customer segmentation, personalized marketing, and performance monitoring. However, the study also highlights challenges associated with the implementation and use of BI systems, including data privacy concerns and the need for specialized technical expertise. The findings of this study contribute to the existing literature on BI systems and digital healthcare marketing. The study suggests that BI systems can enable healthcare organizations to make informed decisions about marketing strategies and customer engagement. Furthermore, the study highlights the importance of careful planning and implementation of BI systems to overcome potential challenges and ensure successful adoption in the healthcare sector.

In today's data-driven business landscape, robust metadata and data documentation practices are essential for enterprises aiming to maximize their data assets. When integrated with Business Intelligence (BI) systems, this architecture empowers data democratization, allowing widespread utilization by stakeholders across the organization. This research explores the critical role of metadata in shaping Business Intelligence (BI) systems and organizational effectiveness within today's data-driven business landscape. Through a systematic literature review, a preliminary study, a quantitative survey with 318 responses, and a focus group discussion, the study identifies key metadata components influencing BI systems effectiveness and organizational outcomes. Findings indicate a direct and positive impact of BI systems effectiveness on organizational effectiveness. Certain metadata components exhibit direct positive effects on both BI systems and organizational effectiveness. The research underscores the importance of strategic metadata implementation for enterprises seeking to optimize data-driven decision-making processes. Overall, the study provides practical implications for organizations and contributes valuable insights to the understanding of metadata's role in enhancing enterprise effectiveness. Doi: 10.28991/HIJ-2025-06-01-02 Full Text: PDF

Business Intelligence (BI) systems are applied by increasing numbers of organizations in a wide range of sectors. Despite the growing numbers of BI solutions and the experience augmented in many implementation projects worldwide, as well as the value that BI systems provide to organizations, IT literature lacks a coherent set of definitions through which BI systems can be classified, categorized, and assessed. Furthermore, BI implementation projects often do not succeed or do not fully accomplish the degrees of value and performance as expected, when firms fail to complete the system implementation, to satisfy the needs of users or when the benefits BI systems produce are lower than anticipated. This paper presents an analytical framework through which BI systems are defined and classified. On the basis of this framework, possible technical, organizational, and personal factors that affect the failure, partial or full success of BI system implementations are discussed. These factors are followed by a case study and empirical data analyses that exemplify and assess the extent to which various organizational attributes and properties of users influence the success or failure of BI implementation projects. Finally, implications regarding the management of BI system implementation projects and the organizations that apply them are derived.

Business Intelligence (BI) software allows you to view different components of a business using a single visual platform, which makes comprehending mountains of data easier. BI is everywhere. Applications that include reports, analytics, statistics, and historical and predictive modeling are all examples of BI. Currently, we are in the second generation of BI softwarecalled BI 2.0which is focused on writing BI software that is predictive, adaptive, simple, and interactive. As computers and software have evolved, more data can be presented to end users with increasingly visually rich techniques. Rich Internet Application (RIA) technologies such as Microsoft Silverlight can be used to transform traditional user-interfaces filled with boring data into fully interactive analytical applications that quickly deliver insight from large data sets. Furthermore, RIA applications now include 3D spatial-design capabilities that move beyond a simple list or grid and allow for interesting layouts of aggregated data. BI 2.0 implemented via an RIA technology can truly bring out the power of BI and deliver it to an average user on the Web. Next-Generation Business Intelligence Software with Silverlight 4 provides developers, designers, and architects with a solid foundation in BI design and architecture concepts for Microsoft Silverlight. This book covers key BI design concepts and how they can be applied without an existing BI infrastructure. Author Bart Czernicki provides you with examples of how to build small BI applications that are interactive, highly visual, statistical, predictiveand most importantlyintuitive to the end-user. BI isnt just for the executive branch of a Fortune 500 companyit is for the masses. Let Next-Generation Business Intelligence Software with Silverlight 4 show you how to unlock the rich intelligence you already have. What youll learn Design rich BI solutions for the masses Discover tips for using engaging BI designs for application presentation Consume BI data as a service Understand and create SaaS models in BI Craft BI solutions using the most advanced Silverlight 4.0 technology through C# 4.0 and Visual Studio 2010 Who this book is for There are four core audiences for this book: Business intelligence professionals/developers: Cube designers, report writers, SharePoint administrators, and others in this group are looking for a resource to gain additional wisdom on cutting-edge BI concepts. These readers will gain ideas that go beyond the capabilities of the traditional BI tools they are used to. Senior developers or architects: Developers who are familiar with writing traditional software applications and want to broaden their understanding of concepts in order to include BI fall into this category. Some may have never written any BI applications in their careers but are interested in what BI has to offer. These readers will understand the core BI concepts and how to apply them using application techniques. CTOs/BI directors: These are senior managers who make strategic decisions with BI. The technical examples will probably be overly technical for these readers. However, the numerous visual aids within this book will help these strategic managers make better decisions after seeing next-generation BI concepts implemented. BI consultants: These readers may be any combination of the preceding three categories. The BI consultant can use this book as a resource for ideas and examples of next-generation BI designs. Table of Contents Business Intelligence 2.0 Defined Advantages of Applying BI 2.0 Using Microsoft Silverlight Silverlight as a BI Client Adding Interactivity to BI Data Introduction to Data Visualizations Creating Data Visualizations for Analysis Enhancing Visual Intelligence in Silverlight Applying Collective Intelligence Predictive Analytics Improving Performance with Concurrent Programming Integrating with Business Intelligence Systems Delivering Mobile Intelligence with Silverlight Silverlight Business Intelligence in SharePoint 2010 Working with Interactive Pivot Collections Appendix A - Prototyping Applications with Dynamic Data Appendix B - Creating a Bullet Graph user control

Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry

Business Intelligence (BI) Systems are today considered as a major strategic tool of many well-established companies like Lufthansa, TDC Telecom and AT&T. Of course, the knowledge derived from the experience of those companies could be helpful guide in building efficient BI Systems. Thus, this study highlights the main points arisen from the worldwide practice of building successful BI Systems. The managers usually expect from BI Systems the acceleration of their decision-making process while keeping the quality of each decision, the enhancement of their product development cycle, the maximization of the profit from existing product lines and the discovery of new opportunities, the establishment of better marketing with robust CRM. However, more than 50% of BI projects fail to meet these requirements. So this study investigates the critical mistakes commonly made by BI System developers and suggests profound solutions from the best BI practices.

The improvements and capabilities of Business Intelligence (BI) systems are making them highly required by organizations in many of the fields. Day by day, the demand is increasing on these systems. Figures show that billions of US dollars are spent annually on BI systems. However, half of these BI projects are ending with unrealized benefit, according to some studies. As a participation to reduce this failure rate, the authors have developed a conceptual model, based on the existing studies in the field, which may help organizations to assess their readiness toward BI systems. The conceptual model is tested empirically on the Context of Malaysian Organizations(CMOs) as they are emerging widely to BI systems and they lack for this kind of studies to be done them. The conceptual model is consisting of seven dimensions. Depending on the results of the conducted study, this paper will disclose the results of management dimension, which will help to know the degree of its importance for organizations' to be ready for such systems. A brief introduction on BI systems and the challenges of their implementation will be presented. In Addition, this paper will go through some important studies have been done in the field. The details of the study will be provided as well.

Building scalable Business Intelligence (BI) systems in the cloud has become a crucial strategy for modern enterprises aiming to harness the power of data analytics for informed decision-making. Cloud-based BI systems offer unprecedented scalability, flexibility, and cost-effectiveness compared to traditional on-premises solutions. This paper delves into the technical approach to designing and implementing scalable BI systems in the cloud. It covers essential aspects such as cloud architecture, data integration, security considerations, and real-time analytics. By leveraging services from leading cloud providers like AWS, Azure, and Google Cloud Platform, organizations can address the challenges of growing data volumes and ensure seamless scalability. The paper also examines best practices for data pipeline optimization, storage management, and the integration of advanced technologies like machine learning and artificial intelligence. Furthermore, the discussion highlights how a well-architected BI system can align with organizational goals, driving efficiency and innovation. This technical guide aims to provide IT professionals and business stakeholders with actionable insights into adopting and optimizing BI systems in the cloud.

This article investigates the post-adoption impacts of business intelligence (BI) systems on organisational performance of Ghanaian banks through the lens of the balanced scorecard. It also examines if time-since-adoption moderates the hypothesized relationship between BI systems adoption and the banks' organizational performance. A survey data of 130 Ghanaian bank officials was analysed through a partial least square structural equation modelling (PLS-SEM) approach to examine the relationship among the study constructs. The results indicated that BI Systems indeed impacted significantly on Ghanaian banks' organisational performance by improving employee learning and growth, enhancing their internal business processes and improving their customer management performances. Nonetheless, BI Systems did not have a direct significant effect on the banks financial performance. Moreover, the findings show that there is no significant difference between early-adopters and late-adopters in terms of BI Systems impacts on the banks' organisational performance. Other implications are also discussed.

Researchers in the field of operations management (OM) have long advocated fact-based decision-making. The use of business intelligence (BI) systems represents a great opportunity for manufacturers to improve profitability and reduce firm risks. However, the actual business value of BI systems has remained highly controversial because integrating BI systems into production and manufacturing operations is difficult. In particular, the informational sources and operational use of BI systems require substantial internal support from employees and institutionalised incorporation of BI into operations. Using a sample of 278 manufacturing firms in the US that had used BI systems from 2005 to 2014, we examine the impact of BI systems on firms’ profitability and risks. We show that firms improve their profitability and reduce risks in profit returns directly after the operational use of BI systems. Firms with superior employee relationships and higher process institutionalisation (i.e. firms that are ISO 9000 certified) benefit more from the operational use of BI systems. We provide a resource orchestration perspective (ROP) of the resource-based view (RBV) of firms for the competitive advantage derived from the operational use of BI systems; and we ascertain the circumstances in which manufacturers are more likely to benefit from BI systems.

Recent advances in information technology (IT), such as the advent of business intelligence (BI) systems, have increased the ability of organisations to collect and analyse data to support decisions. There is little focus to date, however, on how BI systems might play a role in organisational knowledge creation – in organisational knowing. We develop a conceptual framework of organisational knowing based on a synthesis of the literature, and use this as a framework to investigate how BI systems facilitate knowing in a case organisation. We identify two practices triggered by BI systems that distinguish them from prior applications of IT: the ability to initiate problem articulation and dialogue, and that of data selection (e.g. to address information needs of organisational decision makers at different managerial levels). This study provides empirical evidence of the performative outcome of BI systems in relation to organisational knowing through the practices of articulation and data selection. It provides a practice perspective on BI and focuses on the role of BI systems in organisational knowing thereby opening up a new departure for BI research that considers the implications of BI systems in organisations with actual practice in mind.

There is currently a trend for companies to invest in business intelligence (BI) systems to enhance their management decision-making capability. Even though a great deal of attention has been paid to the practical decision-making benefits of BI system adoption, there is still a lack of research to investigate factors that affect users’ intention to continue using BI systems after they had already adopted the systems. Therefore, the aim of the study is to examine post-adoption cognitive beliefs and factors influencing users’ intention to continue using BI systems. This study compares three theoretical models, namely, the Expectation-Confirmation Model of IS Continuance (ECM), the Technology Acceptance Model (TAM), and a synthesized model combining ECM and TAM to examine which model can best explain users’ intentions to continue using BI systems. Survey data collected from 330 respondents in the Taiwanese electronics industry were examined using structural equation modeling. Our findings indicate that the synthesized model was the most parsimonious and had a greater explanatory power than the TAM and ECM models. The results suggest that users’ continuance intention is determined by perceived usefulness and satisfaction. Several implications and limitations of this study are discussed.

The impact of Business Intelligence systems on stock return volatility