Business Intelligence Capabilities Research Articles

The influence of business intelligence on the effectiveness of supply chain management in the Nigerian consumer goods sector

Business performance depends on supply chain management (SCM), which can be enhanced through digital transformation to enable quick decisions to increase market share. By enabling informed decision-making, business intelligence (BI) can facilitate this improvement in SCM effectiveness and competitive edge. Real-time production and inventory level monitoring is made possible by BI capabilities, which help organisations adapt to changing market trends and meet customer demands. Particularly, BI technology can increase the SCM of enterprises in the consumer products sector by providing value-added and financial gains, enabling speedy industry adoption and rapid industry growth. The study employed a quantitative methodology for gathering data, and a simple random sampling method was employed to prevent sample bias. The study considered linear curve estimation (LCE) as a method of data analysis. The results of the model estimations showed that BI recorded positive and significant influence on SC visibility, flexibility, and resilience in the Nigerian consumer goods sector. The study concludes that BI increased the effectiveness of supply chain management (SCM) by improving visibility, anticipating demand, increasing resilience, optimising processes, and boosting productivity. SCM effectiveness depends on the efficient handling of disruptions and uncertainty. The study highlights the practical policy implications following the findings of the study.

Business intelligence systems for population health management: a scoping review

Abstract Objective Population health management (PHM) is a promising data-driven approach to address the challenges faced by health care systems worldwide. Although Business Intelligence (BI) systems are known to be relevant for a data-driven approach, the usage for PHM is limited in its elaboration. To explore available scientific publications, a systematic review guided by PRISMA was conducted of mature BI initiatives to investigate their decision contexts and BI capabilities. Materials and Methods PubMed, Embase, and Web of Science were searched for articles published from January 2012 through November 2023. Articles were included if they described a (potential) BI system for PHM goals. Additional relevant publications were identified through snowballing. Technological Readiness Levels were evaluated to select mature initiatives from the 29 initiatives found. From the 11 most mature systems the decision context (eg, patient identification, risk stratification) and BI capabilities (eg, data warehouse, linked biobank) were extracted. Results The initiatives found are highly fragmented in decision context and BI capabilities. Varied terminology is used and much information is missing. Impact on population’s health is currently limited for most initiatives. Care Link, CommunityRx, and Gesundes Kinzigtal currently stand out in aligning BI capabilities with their decision contexts. Discussion and Conclusion PHM is a data-driven approach that requires a coherent data strategy and understanding of decision contexts and user needs. Effective BI capabilities depend on this understanding. Designing public-private partnerships to protect intellectual property while enabling rapid knowledge development is crucial. Development of a framework is proposed for systematic knowledge building.

Leveraging Power BI for Enhanced Data Visualization and Business Intelligence

In today’s data-driven world, businesses must harness the power of data to remain competitive and make informed decisions. Power BI, a leading business analytics tool from Microsoft, offers comprehensive capabilities for transforming raw data into meaningful insights. This paper explores the benefits of leveraging Power BI for enhanced data visualization and business intelligence. It emphasizes how Power BI’s interactive dashboards, customizable reports, and real-time data updates empower organizations to gain deeper insights and foster data-driven decision-making. By integrating data from various sources, Power BI allows users to visualize trends, patterns, and anomalies through its intuitive and user-friendly interface. Moreover, its AI-powered features and advanced analytics tools make predictive analytics more accessible, driving future strategies. This paper also examines the collaborative potential of Power BI, as teams can easily share reports and insights across departments. As businesses increasingly adopt digital transformation strategies, Power BI stands out as a vital tool for improving operational efficiency, understanding market trends, and driving business growth. This study highlights the significance of Power BI in supporting organizations to not only interpret complex data but also to stay agile and responsive in an evolving business environment. In conclusion, Power BI’s robust data visualization and business intelligence capabilities offer organizations a competitive edge in today’s fast-paced, data-centric landscape.

Mitigate cross-market competition caused by the risk of uncertainty and improve firm performance through business intelligence

In the face of various risks and uncertainties including political instability, technological advancements, and natural disasters, businesses involved in cross-market activities are encountering a more competitive environment. This study investigates the relationship between competitive intensity, business intelligence, internal process efficiency, and the performance of small and medium-sized manufacturing enterprises in China. By incorporating the Technology-Organization-Environment (TOE) framework and Dynamic Capabilities Theory, a research model is developed to demonstrate that competitive intensity improves firms’ performance through the utilization of business intelligence capabilities and internal process efficiency. Through the use of a structural equation model, data collected from 15 industrial parks in Henan province, China, involving 429 participants, was analyzed. The findings show a positive correlation between competitive intensity and business intelligence sensing capability (both internal and external). The impact of business intelligence sensing capability on the performance of small and medium-sized manufacturing enterprises is shown to be mediated through internal process efficiency. Our study reveals the mediating roles of business intelligence capability and internal process efficiency in improving organizational performance among Chinese small and medium-sized manufacturing enterprises. This research not only fills gaps in business intelligence research from a management perspective but also contributes to the literature on the interactions among competitive intensity, business intelligence, internal processes, and organizational performance. It also sheds light on the relationship between competitive intensity and organizational performance, offering insights for companies involved in cross-market activities. By highlighting the importance of business intelligence capabilities in adapting to environmental influences, this study offers practical guidance for enterprise digital transformation efforts.

Integrating Analytics in Enterprise Systems: A Systematic Literature Review of Impacts and Innovations

Recent advancements in Enterprise Information Systems (EISs) have transitioned from primarily supporting operational and tactical processes to enabling strategic decision-making through integrated analytics. This systematic review critically examines global literature from 2010 to 2023, focusing on the factors influencing the adoption of analytical components in EISs and assessing their impact on strategic decision-making in organizations. Following the PRISMA 2020 guidelines, we meticulously selected and reviewed articles from the Scopus database, employing a robust taxonomy based on the technology–organization–environment (TOE) framework to categorize findings. Our methodology involved a thorough screening of 234 studies, leading to a final analysis of 45 peer-reviewed articles that met our stringent criteria. These studies collectively underscore a significant gap in organizational capabilities, notably in the business ecosystems surrounding EISs, which hampers the effective adoption and utilization of advanced analytics. The results highlight a distinct need for improved understanding and implementation strategies for integrated analytics within EISs to enhance strategic decision-making processes. This review identifies critical factors for integrating analytics into Enterprise Information Systems (EISs), emphasizing technological, organizational, and environmental dimensions. It highlights a significant gap in models guiding ERP systems with Business Intelligence (BI) capabilities and underscores the need for robust research to enhance strategic decision-making through analytics.

Building smart product-service systems capabilities for circular supply chains in the Industry 4.0 era

A smart product-service system is an integrated digital infrastructure that brings together products and services to provide clients with a full range of options. A smart product-service system is a crucial capability that enhances collaboration among several parties in a supply chain and gives businesses valuable insights into performance. This study investigates (a) the zero-level capabilities (also known as organizational capabilities) that influence dynamic capabilities (i.e., smart circular product-service systems capabilities) building in the Industry 4.0 era while environmental dynamism acts as a moderator, and (b) how the smart circular product-service systems capabilities can support firms’ (financial and environmental) performance. Based on the data collected from the manufacturers who have been actively involved in smart circular product-service system based projects, our findings reveal that three zero-level capabilities (i.e., product lifetime database creation capabilities, analytics and business intelligence capabilities and actuating capabilities) are crucial for building dynamic capabilities (i.e., smart circular product-service systems capabilities) in a volatile business environment. Besides, we also highlight how these capabilities can positively affect firms’ financial and environmental performance.

Healthcare Value Chain and the Impact of Analytics & BI

This study aims to investigate how the existing healthcare value chain system has significantly been impacted as a result of the increasing adoption and implementation of analytics and business intelligence (A&BI) capabilities. Given the increasing interest and investment in A&BI, it is important to have a good understanding of what A&BI capabilities healthcare organizations are utilizing to enhance value. Based on extensive search of the literature and a follow-up case study of a large regional hospital, it was found that the existing healthcare value chain (HCVC) framework is outdated and no longer effective. We therefore revised and updated the existing framework to meet the current needs of modern healthcare practices. Moreover, A&BI applications currently being deployed in healthcare organizations were identified and mapped onto the revised framework. The study contributes by illustrating how healthcare organizations currently utilize or should be using A&BI capabilities to enable them close the quality gaps.

Nexus of business intelligence capabilities, firm performance, firm agility, and knowledge-oriented leadership in the Jordanian high-tech sector

The objective of this study is to investigate the influence of business intelligence capabilities on firm performance, with a specific emphasis on the role of firm agility and the impact of knowledge-oriented leadership within this association. The paper used a quantitative approach using data from a sample of 237 participants randomly chosen from a pool of 34 high-tech companies in Jordan. The study included a diverse range of participants, including individuals occupying various professions, such as managers, supervisors, analysts, and other relevant positions. This broad sample was selected to provide a full comprehension of the influence of business intelligence capabilities on firm performance. This approach allowed for the inclusion of various organizational levels and views, therefore capturing a wide range of insights. The study used the partial least squares modeling technique to analyze cross-sectional data to investigate the proposed model. The findings of this analysis, with a statistically significant p-value of less than 0.05, elucidate that the capabilities of business intelligence exert a substantial influence on the agility of a firm, subsequently affecting the firm’s overall performance. Moreover, firm agility mediates the correlation between its business intelligence capabilities and firm performance. Additionally, knowledge-oriented leadership moderates the effect of business intelligence capabilities on firm agility.

Identification and Ranking of Business Intelligence Components Using the Fuzzy TOPSIS Technique

Objective: The primary objective of this research is to identify and prioritize the components of business intelligence within subsidiaries of the National Bank by employing the fuzzy TOPSIS technique. This endeavor aims to establish a foundation for presenting a scientific approach to enhance business intelligence capabilities. Methodology: This study adopts a mixed-methods approach, initially gathering qualitative data through semi-structured interviews with senior managers from the bank's subsidiaries, followed by quantitative data collection using questionnaires. The fuzzy TOPSIS method was employed to handle the inherent ambiguity and uncertainty in the data, with linguistic variables used to represent the acceptability of each business intelligence component. Findings: Final model was including the dimensions of technical factors (components of information tools, characteristics of information and data, and analysis), business factors (components of stakeholders, economic and financial factors, and customer orientation), and intangible factors (including components of human capital and organizational capital) and 27 indicators. Subsequently, the identified components were ranked using the fuzzy TOPSIS technique, ultimately selecting "information confidentiality", "data reliability", and "high profit margin" as the most important indicators. Conclusion: It can be concluded that the dimensions of innovation in online advertising and its implications in digital marketing are interpretable, and legal supports for innovation in online advertising through the enforcement of laws, enactment and amendment of specific laws and regulations for digital marketing, removal of legal barriers to investment, revenue generation, and clarification of legal ambiguities and definitions in digital marketing are effective.

The Role of Artificial Intelligence in Enhancing Business Intelligence Capabilities for E-Commerce Platforms

The Role of Artificial Intelligence in Enhancing Business Intelligence Capabilities for E-Commerce Platforms

Impact of business intelligence capabilities on competitive performance of pharmaceutical manufacturing companies in Jordan

Impact of business intelligence capabilities on competitive performance of pharmaceutical manufacturing companies in Jordan

Presenting the model of business intelligence capabilities and its role on innovation considering the effect of network learning and performance (case study of insurance industry)

Presenting the model of business intelligence capabilities and its role on innovation considering the effect of network learning and performance (case study of insurance industry)

Big data in relation with business intelligence capabilities and e-commerce during COVID-19 pandemic in accountant’s perspective

This research aims at producing a thorough and accurate analysis on how big data as a service and business intelligence capabilities provide a series of opportunities for small and medium enterprises to succeed in E-commerce. The statistical data were drawn from samples of accountants within small and medium enterprises, spanning two periods, the period of COVID-19 pandemic and the period of new normal. The structural equation modeling was applied in this study. The value of fine-grained insights in this work could guide policy-makers and practitioners to sense and seize how to implement E-commerce in an efficient and effective manner.

Toward a design theory of strategic enterprise management business intelligence (SEMBI) capability maturity model

PurposeThe purpose of this study is to demonstrate that Strategic Enterprise Management (SEM) and Business Intelligence (BI) have the potential to integrate management decisions vertically through an organization’s hierarchy. This study also aims to present a design theory framework and build a model dimension using eight principles serving as mid-range theories.Design/methodology/approachThis study uses a design science perspective to posit how organizations can successfully implement SEMBI (a union of SEM and BI). This study then completes the design theory by building the method dimension using two principles. Finally, the study presents testable hypotheses for the theory and an evaluation using stakeholder attitudes and judgments as proxies for objective measures.FindingsIn the search for a prescription for SEMBI success, this study finds that the notion of the Capability Maturity Model (CMM) is a good artifact with which to organize the principles the authors are seeking. CMM has since been adapted to suit different contexts by incorporating relevant principles from those domains. Hereafter, this study refers to SEMBI–CMM as the adapted solution for SEMBI's success.Originality/valueThis study coins and uses the term SEMBI to represent the union of SEM and BI. This term retains its distinct identities and principles and forms a holistic and integrated view of SEM and BI implementation strategies. In an effort to advance this line of research, this study employs a design science perspective to address the question of how an organization can successfully implement SEMBI.

The Relationship Between Business Intelligence Capabilities and Business Outcomes of Small and Medium Sized Enterprises: The Moderating Role of Competitive Intelligence

The Relationship Between Business Intelligence Capabilities and Business Outcomes of Small and Medium Sized Enterprises: The Moderating Role of Competitive Intelligence

The Impact of Business Intelligence Capabilities on Strategic Agility in commercial banks in Jordan

The Impact of Business Intelligence Capabilities on Strategic Agility in commercial banks in Jordan

The Impact of Business Intelligence Capabilities and Social Media Usage on Sustainable Entrepreneurship in Bahrain

The Impact of Business Intelligence Capabilities and Social Media Usage on Sustainable Entrepreneurship in Bahrain

Business Intelligence Capabilities and Critical Success Factors in Public Sector Company of Malaysia

The study's objective is to investigate the business intelligence (BI) capabilities of public sector organizations as well as the essential success variables associated with those skills. The research was carried out due to the fact that there has been a growth in the usage of BI, and a large number of the tools that are utilized in its operations are not reviewed, despite the fact that the influence of the user is considered to be one of the primary concerns associated with it. The study used a quantitative research method to look at Malaysian organizations and come up with some hypotheses to test the variables related to BI's capabilities in the public sector of an organization. There were good, reasonable samples of people who took part in the research. A questionnaire was used to get the information. When examined, the findings confirmed the correctness of every hypothesis made. Therefore, there is a connection between elements involving infrastructure, teams, data, top-level support, and user participation in data quality. The findings of this study helped determine whether or not there is a correlation between data quality and the speed with which business data is updated across geographies, the precision with which data is captured, the timeline with which it is processed and reported, and the ease with which key performance measures can be established at various operational levels within the company.

Impact of Business Intelligence Capabilities on the Competitive Performance of Islamic Banks in Jordan

This study aimed to measure the impact of business intelligence capabilities on the competitive performance of Islamic banks in Jordan. The study population involved 240 senior- and middle-level managers of Islamic Banks in Jordan. The 202 managers responded to the distributed questionnaire from which 202 questionnaires were received, among which 14 were unsuitable for statistical analysis. Structural equation modeling (SEM) was used to test the hypothesized relationships. The importance of this study comes from the structure of the study variables that this study deals with the business intelligence variable as one of the renewable and evolving variables, as it allows organizations in general, and banks in particular, to manage a large amount of data, and turn it into the information of interest to the organization by following up on technological development. The study found a statistically significant effect of business intelligence capabilities represented by capabilities of business intelligence, structure, and culture of business intelligence on competitive performance. Based on the study results, the researchers recommend that managers and decision-makers more clearly interpret top management decisions to ensure the progress of the business.

Business intelligence ability to enhance organizational performance and performance evaluation capabilities by improving data mining systems for competitive advantage

Improving organizational performance is a priority for the managers and experts of companies. Performance appraisal capabilities are activities that use available information to improve business processes and achieve company goals. Knowledge information entered into companies, on the one hand, is effective in learning people and, on the other hand, is used in management decisions. This study aims to improve these organizational performances by using Business intelligence (BI) and Artificial intelligence (AI) on Data mining systems (DMS) in privately held companies. This descriptive survey study is based on the purpose of applied and quantitative research. The statistical population includes managers of privately held companies. These companies use BI and AI in their data mining systems. The results revealed that BI capabilities & reliability affect performance capabilities. Further, Performance evaluation capabilities (PEC) impact competitive advantage; Since the BI capabilities are related to BI reliability, thus, Business intelligence infrastructure (BII) impresses BI reliability. Path coefficient between the two variables of integration of BII on BI capabilities is β = 0.389. Moreover, the T-statistic between these two variables is t = 5.768. Path coefficient between the two variables of BI capabilities over reliability business intelligence is β = 0.158. Moreover, the T-statistic between these two variables is t = 1.967. Path coefficient between the two variables of Integrate BII with business intelligence reliability is β = 0.344. Moreover, the T-statistic between these two variables is t = 4.452. Innovation has a significant impact on the company's performance by creating an improved market position, which indicates a competitive advantage and superior performance.