Impact Of Business Intelligence Research Articles

Impact of business intelligence on incident management in the control center of a security company

The main objective of this article is to implement business intelligence (BI) technology to improve incident management in the control center of a security company; making use of the Ralph Kimball method for the development of the data mart, contemplating the phases: planning of projects, definition of requirements, design of technological architecture, performing a dimensional modeling a star with 9 dimensions and 1 table made, also used the structured query language (MySQL) database, extract, transform, and load (ETL). Development the pentaho data integration, which allowed the migration, transformation and cleaning of the data from the online transaction processing (OLTP) and online analytical processing (OLAP) database, obtaining as a result that the BI managed to increase the level of the service by 28.42% and reducing the frequency index by 25%.

Impact of Business Intelligence on Company Performance: A System Dynamics Approach

Abstract Research background Businesses struggle with operational optimisation and seek a solution by implementing Business Intelligence (BI) to boost sales. But, due to the lack of research that use actual data from real-world situations; the impetus of this research is to exploit BI parameters to enhance company performance. Purpose This research aims to develop a System Dynamics (SD) based model to assess whether a Japanese company which manufactures Printed Circuit Boards (PCB) should invest in BI to improve its operations based on the rate of information processing, thereby leading to increased financial performance. Research methodology The authors requested financial statements for three years (2019 to 2021) from the management of the PCB company, followed by validation based on subject experts’ assessments. The model was developed and simulated step-by-step with consideration of the SD approach involving problem identification, model prototyping, trouble shooting and error analysis. Results If BI was used to process data at a rate of 40%, the endogenous factors considered in this study would increase the company’s net profit and accumulated earnings by 25.77% and 48.28%, respectively. Novelty The research is unique in the sense that the model was developed based on inter-relationships between the variables, and the data is based on a real-life situation. Furthermore, the methodology could be applied with the necessary modifications to industries such as service, media, and education.

The impact of business intelligence, big data analytics capability, and green knowledge management on sustainability performance

This paper aims to study the determinants that affect sustainability performance in manufacturing companies and the impact of business intelligence and big data analytics capability on performance considering the moderating role of green knowledge management. An online questionnaire survey was conducted with 488 ISO14001-certified manufacturing companies in Malaysia to test the framework developed in this study. Nonprobability sampling was used in this study. A total of 283 responses were received, whereby the data was then analyzed using structural equation modeling via SmartPLS 4 software. The results indicated that the significant factor determining big data analytics capability is business intelligence, and the positive outcome of big data analytics capability is sustainability performance. Big data analytics capability also plays a mediating role in the positive relationship between business intelligence and sustainability performance, whereby green knowledge management does not moderate the relationship between big data analytics capability and sustainability performance. Even though business intelligence has a substantial impact on sustainability performance, the relationship is not stronger when the level of green knowledge management changes. This research provides awareness to manufacturing companies on the critical factors contributing to big data analytics capability and its outcomes on corporate sustainability performance.

A Study on BI System: A Moderating Role of Organizational Learning

Organizational performance significantly depends on business intelligence. Business intelligence (BI) converts raw data into meaningful and useful information that managers use to make quick and improved assessments. Before implementing business intelligence in their firms, the manager must thoroughly evaluate it. Absorptive capacity (ACAP) and BI systems are closely related. We assessed the impact of the sub-dimensions of ACAP “acquisition, assimilation, transformation, and exploitation” on BI, Impact of BI on firm performance, and the moderating role of organizational learning. We adopted the quantitative method that comprises gathering secondary data from middle managers in Karachi’s banking industry and analyzing the data using partial least squares-structural equation modeling (PLS-SEM). The study found the dimensions of ACAP “acquisition, assimilation, transformation, and exploitation” positively affect the BI system. The BI system promotes firm performance. We also found organizational learning insignificantly moderates BI and firm performance. Managers can use the model to determine which areas of their company need more development before making the major financial commitment toward the BI system and to determine whether their company is ready to adopt it

Data analytics impacts in the field of accounting

This research study has focused on the impact of business intelligence and data analytics in the field of accounting. Based on the information collected from scholarly sources, data analytics, and business intelligence is helpful for business organizations in the improvement of their accounting processes and enhancing accuracy in real-time data storing and analysis. The research paper has analyzed the possible impact of big data analytics and business intelligence regarding the transformation of accounting practices. This research paper has also highlighted three main benefits or advantages of data analytics and business intelligence adoptions in accounting systems which include: increasing accuracy, enhancing efficiency, and improvement in the decision-making processes. Based on the research findings we suggest a significant impact of data analytics on the accounting industry which has enabled accounting professionals to draw appropriate decisions based on real-time data. However, some challenges and issues are associated with the implementation and adoption of advanced analytics and business intelligence in accounting systems. These challenges and issues are required to be focused on by the business managers while implementing technological advancement plans in business organizations, especially accounting departments. This research paper has also highlighted the possible issues and challenges with those analytics in accounting systems. The overall objective of this research paper is to review existing literature containing secondary and primary research information on similar research topics.

The impact of business intelligence on the performance indicators of the strategic map (extracted research)

The impact of business intelligence on the performance indicators of the strategic map (extracted research)

Empirical study of business intelligence systems and their influence on innovation performance

This study aims to empirically measure and test a conceptual model of the magnitude of the influence of organizational culture, IT Maturity Level, and data quality on the successful implementation of business intelligence systems and their implications for innovation performance. The areas of our empirical study through the hypotheses testing were: the estimation of the effect of business intelligence on financial performance; the impact of business intelligence on innovation; the effect of business intelligence on brand success; the impact of innovation on brand success; the impact of innovation on financial performance. The study sample included 4 commercial banks and 58 conventional commercial banks in the category of national private commercial banks of Indonesia, hence, the total sample in this study was 62 banks. This study used non-probability sampling techniques with purposive sampling techniques at conventional commercial banks in Indonesia. The data analysis method uses Covarian Based-Structural Modeling (CB-SEM) with programming tools that support primary data analysis in Lisrell 8.5. The results of this study found that the higher the level of implementation of organizational culture, IT Maturity Level, and data quality, the higher the success rate of implementing business intelligence systems which have implications for improving innovation performance, while the higher the level of application of business intelligence systems, the higher the level of innovation performance. The implementation of organizational culture is the factor that has the most significant influence on the success of implementing business intelligence systems compared to other factors studied in this study.

The Impact of Business Intelligence and Analytics Adoption on Decision Making Effectiveness and Managerial Work Performance

Business Intelligence and Analytics systems have the capability to enable organizations to better comprehend their business and to increase the quality of managerial decisions, and consequently improve their performance. Recently, organizations have embraced the idea that data becomes a core asset, and this belief also changes the culture of the organization; data and analytics now determine a data-driven culture, which makes way for more effective data-driven decisions. To the best of our knowledge, there are few studies that investigate the effects of BI&A adoption on individual decision-making effectiveness and managerial work performance. This paper aims to contribute to bridging this gap by providing a research model that examines the relationship between BI&A adoption and manager’s decision-making effectiveness and then his individual work performance. The research model also theorizes that a data-driven culture promotes the BI&A adoption in the organization. Using specific control variables, we also expect to observe differences between different departments and managerial positions, which will provide practical implications for companies that work on BI&A adoption.

The impact of business intelligence, knowledge sharing and SMEs innovation on innovative work behavior: A proposed framework for SMEs

The impact of business intelligence, knowledge sharing and SMEs innovation on innovative work behavior: A proposed framework for SMEs

The Impact of Business Intelligence and Knowledge Management on Sustainability Performance in the Tourism Industry in Algeria

In today’s business context of globalization, competition, knowledge economy, rapid technological changes, and external environmental factors, knowledge management and business intelligence on the tourism level have received increased attention in an effort to identify smart performance factors and change the structure of organizations. Similarly, the tourism industry has experienced considerable development during recent decades. Moreover, sustainability is becoming increasingly important for society and is especially critical in the operation of the tourism industry. It is well known that sustainability is a prerequisite to carrying out any activity. This evaluates the relationship between knowledge management in operations and business intelligence systems on the sustainability performance within the tourism industry in Algeria. A total of 126 questionnaires were distributed to the study sample. A multiple regression analysis was used to test the hypotheses of the study. This study concludes that there is a positive relationship between knowledge management processes and sustainability performance. Further, the components of business intelligence have positive impacts on sustainability performance. The results can facilitate utilizing the knowledge management processes and business intelligence implementation in Algeria’s tourist industry.

An Investigation on the Impact of Business Intelligence over the Performance of Startup Companies according to Innovation and Knowledge Management as Mediators

Value-Originality. Startup companies look for solutions to remove useless issues and enhance the activities offering value adding over the product/service development stage in such a way that such companies will be able to provide great products and more probabilities for success with no need to employ considerable investments from external sources. Accordingly, innovation, business intelligence, and knowledge management will contribute to the positive findings of startup companies. Objectives. Hence, the purpose of the present study was to conduct an investigation on the impact of business intelligence over the performance of startup companies according to such mediators as innovation and knowledge management. Methods. The type of this study is correlation and is also an applied and descriptive-survey work regarding objective and data gathering. Our statistical population encompassed all related experts and managers in the following Iranian startups: Pinket, Alibaba, Snapp, Filimo, IDPay, PhonePay, TapSell, and Body Spinner. Our sample was composed of 108 experts and managers in mentioned companies, who were chosen based on the cluster sampling method. Structural equation modeling with partial least squares approach was used to analyze the gathered data. Findings. Our results reveal the effectiveness of business intelligence, innovation, and knowledge management on the performance of startups and that of business intelligence on innovation and knowledge management. Ultimately, innovation and knowledge management are mediators of the relationship between business intelligence and performance of startups. Conclusion. The startup companies’ managers are strongly recommended to take advantage of innovation and knowledge management in order to enhance the performance of their businesses.

The impact of business intelligence in crisis management: the strategic vigilance as an intermediary variable in Jordanian insurance companies

The impact of business intelligence in crisis management: the strategic vigilance as an intermediary variable in Jordanian insurance companies

The impact of business intelligence on supply chain performance with emphasis on integration and agility–a mixed research approach

PurposeThe paper aims to explore how business intelligence (BI), integration and agility influence supply chain performance.Design/methodology/approachThe study was performed by the exploratory sequential mixed method in two phases including meta-synthesis as a qualitative method and survey as a quantitative method. Data were collected through a survey of 369 Iranian companies across various industries. Structural equation modeling was used to test hypotheses.FindingsThe results show that BI, integration and agility play an important role in achieving better supply chain performance. In the meantime, BI has the greatest impact on supply chain performance. Additionally, BI has a positive and significant effect on the integration and agility of the supply chain. The study also found that integration has a direct effect on supply chain agility.Originality/valueTo the best of the authors' knowledge, the paper theoretically and empirically presents a new conceptual model of the relationship between BI, integration, agility and supply chain performance. The study helps researchers and practitioners to achieve insights into supply chain performance improvement.

The Impact of Business Intelligence on Organization Agility The Mediating Role of Absorptive Capacity “An Empirical Study on Joint Venture Banks in Alexandria”

The Impact of Business Intelligence on Organization Agility The Mediating Role of Absorptive Capacity “An Empirical Study on Joint Venture Banks in Alexandria”

The Business Intelligence impact on the financial performance of start-ups

Business Intelligence goal is to investigate, integrate and logically collect and multidimensional analysis of data from varied customer information sources, environment, competitors, markets, and etc. to enhance the performance of businesses, particularly startups. This research aims to study the impact of Business Intelligence on the financial performance of start-ups. The method is descriptive-survey, aside practical purpose. The study statistical population covered CEOs and experts of startup companies who were investigated in a 250-sample people. Also, 43-item questionnaire aside set up validity with confirmatory factor analysis, and validity analysis was employed for data collection. The results indicated that Business Intelligence did not impact Network Learning in startups, however, Business Intelligence enhanced Innovativeness in startups by 0.99, also, Innovativeness enhanced the financial performance of startups by 0.311, startups intelligence on Network Learning by 0.537, Network Learning on enhancing Innovativeness in startups by 0.632, and Network Learning on financial performance enhancement in startups by 0.397. The impact of Business Intelligence on Innovativeness as well as Network Learning confirmed, also, the impact of Innovativeness and Network Learning on financial performance confirmed. Thus, it can be concluded that the impact of Business Intelligence on financial performance has been studied indirectly through the mediating role of Innovativeness and Network Learning in startups. Surprisingly, these two factors are necessary to enhance financial performance.

A model for analyzing the barriers of using Business Intelligence (BI) in the tourism industry of Iran, a mixed method approach

In competitive world, as information technology progresses, organizations are seeking to acquire competitive advantage in global market to survive. One of information technology areas which have been more considered by managers is business intelligence. BI Implementation and using its benefits require the identification of all the factors that prevent of utilizing it desirably. Considering the importance of tourism industry in the countries economy and the impact of BI in organization working in this industry, the study aimed to identify and prioritize BI Barriers in Iran tourism industry. In this research, Barriers on BI implementation and utilization in Iran tourism industry have been performed using a mixed or combination methodology in both qualitative and quantitative measurement. In the qualitative part the grounded theory method and in qualitative section descriptive survey has been used. According to the results, the eleven obstacles based on its priority are as follow respectively: data barriers, managerial barriers, cultural barriers, lack of awareness and education, barriers related to human force, legal and political obstacles, lack of confidence and trust in knowledge transfer, organizational barriers, lack of systems integrity, obstacles related to funding of BI plans and barriers related to infrastructure. The results can facilitate utilizing and implementing of BI in Iran tourist industry.

Impact of Business Intelligence on Business Performance of Food Delivery Platforms in Sri Lanka

The purpose of this research is to determine if business intelligence has an impact on the business performance of the food delivery platforms in Sri Lanka. Ananalysis of the 178 responses from the employees of Uber EATS and Pick Me Food concluded that business intelligence has a statistically significant impact on the business performance of the food delivery platform. To understand if external environmental factors have an impact on the business performance of food delivery platforms, a sample of 379customer responses analyzed, and it statistically proved that there is an impact, as well as the Global Pandemic of Covid-19also impacted the food delivery platforms, Still, they managed to overcome them through identifying a new business opportunity. This research paper also goes through the Business Intelligence tools and methods used.

Emerging trends and impact of business intelligence & analytics in organizations: Case studies from India

Business Intelligence & Analytics (BI&A) has an increasing impact on decision making and business performance within most organizations today. These organizations regularly invest in resources required for BI&A. What is the impact of this investment? Which functions of the business does BI&A impact? Are there any trends seen in the usage and effectiveness of BI&A? Are these trends different across organizations with different levels of BI&A capability maturity? The purpose of this study was to discover patterns in the usage and effectiveness of BI&A across organizations which are at different levels of BI&A maturity. In the first phase of the study, the data sample was taken from 145 organizations in India. It was analyzed using the data mining technique – k-means clustering. The organizations were grouped into six clusters based on factors influencing BI&A capability maturity. In the second phase of the study, one case organization is taken from each cluster to gain deeper insights. In-depth interviews were conducted with a respondent from each case organization to understand the state of BI&A, the usage and effectiveness of BI&A. The interviews were analyzed using thematic analysis method in NVIVO 12 plus. The study identified the key characteristics which represented the state of BI&A capability maturity in the organization cluster. Findings show that groups of organization which had higher maturity of BI&A capability were using BI&A across larger number of functional areas and also experiencing the effectiveness of BI&A in more areas than the organizations which had lower maturity of BI&A capability.

The Impact of Business Intelligence on Strategic Performance in Commercial Banks Operating in the Sate of Kuwait

This study aimed to identify the impact of business intelligence on strategic performance in commercial banks operating in the State of Kuwait the researcher used the descriptive analytical approach to introduce both business intelligence and strategic performance. The study population consisted of employees working in top and middle management in commercial banks operating in State of Kuwait. Stratified random sample amounting 363 subjects was used. 270 questionnaires were collected representing 74.3% of the total sample.
 
 The study concluded that business intelligence system ensures data processing using data storage techniques and data extraction to obtain consistent and qualified information, thus providing the required knowledge to achieve the strategic goals and objectives by end users and executives in the future. The researcher recommends that Kuwaiti banks should keep pace with developments in the field of business intelligence to be employed in a better way in enhancing its strategic performance, in addition to conduct future studies that follow the analytical approach to deepen its utilization in Kuwaiti commercial banking sector.

Business intelligence and organizational performance

PurposeOrganizations introduce business intelligence (BI) to increase their performance, but often, this initiative is not aligned with the business process management (BPM) initiative, which also aims to improve organizational performance. Although some findings from the literature indicate that BI implementation has a positive impact on organizational performance, the impact seems to be indirect. Therefore, the purpose of this study is to enhance the understanding of how BI maturity is translated into organizational performance. Alignment of BI and BPM initiatives seems one possible way for creating business value with BI, particularly because BI enables process performance measurement and management, which allows the BI initiative to become more business focused.Design/methodology/approachA questionnaire was prepared and used to collect data in Croatian and Slovenian organizations with more than 50 employees. A BI–BPM alignment measurement instrument was developed for the purpose of this study using the recommended process of scale development and validation. A total of 185 responses were analyzed by the structural equation modeling technique.FindingsOur results provide evidence that the effect of BI on organizational performance is fully mediated by alignment of BI and BPM initiatives, and therefore, BI business value can be generated through the use of common terminology and methodologies, as well as a strong communication between BI and BPM experts, managers and teams in order to coordinate the two initiatives.Originality/valueThis study has responded to the call for better understanding of how the impact of BI on organization performance is realized. It confirmed that BI and BPM initiatives should be aligned in order to give BI a business value.