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Journal articles on the topic 'Business Analytics (BA)'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Chen, Xiaofeng, and Keng Siau. "Business Analytics/Business Intelligence and IT Infrastructure." Journal of Organizational and End User Computing 32, no. 4 (2020): 138–61. http://dx.doi.org/10.4018/joeuc.2020100107.

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This is an empirical research investigating the impact of business analytics (BA) and business intelligence (BI) use, IT infrastructure flexibility, and their interactions on organizational agility. Synthesizing the systems theory and awareness-motivation-capability framework, the authors propose that BA-Use, IT infrastructure flexibility, and their interactions significantly influence organizational agility. The results show the significant association of BA use and IT infrastructure flexibility with organizational agility. The results also suggest that BA use may demand corporations to build

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Yoo, Dong, and James J. Roh. "Value Chain Creation in Business Analytics." Journal of Global Information Management 29, no. 4 (2021): 131–47. http://dx.doi.org/10.4018/jgim.20210701.oa6.

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Firms are awash in big data and analytical technology as part of the process of deriving values in the current turbulent environment. The literature has reached a consensus that investments in technology only may not reap benefits from business analytics (BA). As such, the main purpose of BA is not about how to install technical capabilities, but about how to create a process whereby a firm builds a value chain converting data into insights and ultimately into quality outcomes. Drawing upon the theory of the information value chain, this study develops a BA value chain creation model and tests

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Boldosova, Valeriia, and Severi Luoto. "Storytelling, business analytics and big data interpretation." Management Research Review 43, no. 2 (2019): 204–22. http://dx.doi.org/10.1108/mrr-03-2019-0106.

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Purpose The purpose of this paper is to explore the role of storytelling in data interpretation, decision-making and individual-level adoption of business analytics (BA). Design/methodology/approach Existing theory is extended by introducing the concept of BA data-driven storytelling and by synthesizing insights from BA, storytelling, behavioral research, linguistics, psychology and neuroscience. Using theory-building methodology, a model with propositions is introduced to demonstrate the relationship between storytelling, data interpretation quality, decision-making quality, intention to use

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Al-edenat, Malek, and Nayel Alhawamdeh. "RECONSIDERING INDIVIDUALS’ COMPETENCIES IN BUSINESS INTELLIGENCE AND BUSINESS ANALYTICS TOWARD PROCESS EFFECTIVENESS: MEDIATION-MODERATION MODEL." Business: Theory and Practice 23, no. 2 (2022): 239–59. http://dx.doi.org/10.3846/btp.2022.16548.

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The purpose of this study is to investigate the impact of individuals’ competencies in business intelligence (BI) and analytics (BA) on process effectiveness (PE). Moreover, to investigate the mediating role of user participation (UP) and the moderating role of gender in this relationship. An empirical analysis based on survey data was conducted. A sample of 215 middle and upper management levels from SMEs located in Jordan was surveyed to collect the data. Structural equation modelling through partial least squares-multi group analysis (PLS-MGA) is used to analyze the data. The results suppor

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Urbi, Sadiqur Rahman Chowdhury, Susmita Halder, and Sharif Ahmed Sazzad. "The application of business analytics in accounting." Pathfinder of Research 2, no. 3 (2024): 27–39. https://doi.org/10.69937/pf.por.2.3.36.

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Joining business analytics (BA) in bookkeeping has become progressively basic due to the rising request for data-driven decision-making in a quickly advancing budgetary environment. As bookkeeping experts confront challenges such as complex information sets and a growing mechanical scene, the part of BA in bookkeeping hones is becoming more noticeable. Despite its potential, the broad appropriation of BA remains conflicting, with numerous organizations, however, completely tackling its benefits. This survey synthesizes the existing writing on the crossing point of business analytics and bookke

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Imran, Ahmad Rana, and Abdul Rehman Ch. "Past, Present and Future of Business Analytics – A Review." International Journal of Management Sciences and Business Research 3, no. 9 (2014): 64–75. https://doi.org/10.5281/zenodo.3457695.

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The competitive corporate environment is forcing entities to adopt new methods of work control and mechanization that ensure effectiveness. These methods of business mechanization through computer applications are known today as business analytics. Analytics portfolios help organizations to better identify and meet customers’ needs while mitigating risks of managing business for better. These techniques lower the cost incurred on producing products/delivering services as well as maximize output. This study elaborates on techniques being used, their advantages and gaps therein in order to

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Sachan, Anchal. "IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS ANALYTICS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32086.

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Artificial Intelligence (AI), a subset of Advanced Analytics (AA), involves the automation of steps that would typically require human intervention to complete a comprehensive analysis. AI is a multidisciplinary field with the objective of automating tasks that currently necessitate human intelligence. The purpose of this research paper is to explore the impact of Business Analytics (BA) and Business Intelligence (BI) on business activities, and to analyze the scientific advancements in BA and BI to identify new research directions in this area. An analysis is needed to highlight findings that

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Singh, Abhishek. "Understanding the Impact of Business Analytics on Innovation." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem50262.

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Abstract Business analytics, or BA, has changed from being a supporting role to a vital tool for innovation in a fiercely competitive, data-driven economy. This study explores the various ways that business analytics (BA) can promote innovation by helping organizations transform unprocessed data into useful insights. The study shows how descriptive, predictive, and prescriptive analytics support creative thinking, product development, and business model transformation through a combination of theoretical analysis and empirical case studies. To show how analytics can be algorithmically incorpor

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Tichavavamwe, Charles, and Riani Rachmawati. "Factors influencing the adoption of business analytics in Zimbabwe." Jurnal Manajemen dan Pemasaran Jasa 17, no. 2 (2024): 203–22. http://dx.doi.org/10.25105/v17i2.19932.

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The advent of the Industrial 4.0 economy has intensified the usage of Business Analytics (BA) as a strategic business tool, but the adoption rate is not equally spread across nations. This study investigated the factors influencing the intention to adopt BA in Zimbabwean companies using the technology organization environment (TOE) and the technology acceptance model (TAM). A quantitative approach was used, and data were collected from 157 Zimbabwean companies from various sectors that have adopted or intend to adopt BA. A questionnaire was deployed for data collection, and a convenient sampli

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Ahamad, MD Ezharul. "IMPACT OF ARTIFICIAL INTELLIGENCE ON BUSINESS ANALYTICS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem33172.

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Artificial Intelligence (AI) is the subset of Advanced Analytics (AA) and involves automating steps that normally humans would take to complete an exhaustive analysis. Artificial Intelligence is a multi disciplinary field whose goal is to automate activities that presently require human intelligence. The aim of this research paper is to define the incidence of BA and BI in business activities and analyse scientific activity and advances of BA and BI to define new research horizons in this field. For this purpose, an analysis is required allowing to highlight the findings that provide recogniti

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Daradkeh, Mohammad. "Business Analytics and Collaborative Innovation Performance in the ICT Sector." International Journal of E-Entrepreneurship and Innovation 12, no. 2 (2022): 1–23. http://dx.doi.org/10.4018/ijeei.314465.

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This study aims to investigate the impact of business analytics (BA) capabilities on collaborative innovation, which involves the exchange of ideas and knowledge with external sources on digital innovation platforms. Based on the resource-based view (RBV), BA capabilities were divided into three dimensions: tangible, personal, and intangible. A research model is then developed to describe the relationships among BA capabilities, collaborative innovation capabilities, and collaborative innovation performance. To test the model, data were collected through a questionnaire survey from 167 compani

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Shanks, Graeme, Nargiza Bekmamedova, and Leslie Willcocks. "Using Business Analytics for Strategic Alignment and Organisational Transformation." International Journal of Business Intelligence Research 4, no. 3 (2013): 1–15. http://dx.doi.org/10.4018/ijbir.2013070101.

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Organisations use business analytics (BA) systems to create value and provide competitive advantage. They frequently use BA systems to respond quickly to market changes and customer demand, and for market differentiation with better customer service and new types of products and services. The authors argue that BA systems can also enable alignment between business strategy and information technology (IT) strategy and support organisational transformation. The authors use a single case study to explain how a global data warehouse, standardized metrics and sophisticated reporting capabilities su

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Pacis, Arkhe, and P. Dela Cruz. "BUSINESS ANALYTICS IMPLEMENTATION: A SYSTEMATIC LITERATURE REVIEW." International Journal of Industrial Management 19, no. 2 (2025): 104–15. https://doi.org/10.15282/ijim.19.2.2025.11462.

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Business analytics (BA) has emerged as a pivotal tool for enhancing decision-making and business performance through data-driven insights. However, its implementation remains a significant challenge. This study employed a systematic literature review methodology and utilised Scopus, Web of Science, and Google Scholar as a backup database to retrieve relevant literature. The review followed a structured process comprising identification, screening, eligibility, and data collection/extraction stages. The searches initially retrieved 83 articles, of which 41 met the inclusion criteria based on pe

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Cao, Guangming, and Yanqing Duan. "How do top- and bottom-performing companies differ in using business analytics?" Journal of Enterprise Information Management 30, no. 6 (2017): 874–92. http://dx.doi.org/10.1108/jeim-04-2016-0080.

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Purpose Business analytics (BA) has attracted growing attention mainly due to the phenomena of big data. While studies suggest that BA positively affects organizational performance, there is a lack of academic research. The purpose of this paper, therefore, is to examine the extent to which top- and bottom-performing companies differ regarding their use and organizational facilitation of BA. Design/methodology/approach Hypotheses are developed drawing on the information processing view and contingency theory, and tested using multivariate analysis of variance to analyze data collected from 117

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Muntean, Mihaela, Ana-Ramona Bologa, Alexandra Maria Ioana Corbea, and Razvan Bologa. "A Framework for Evaluating the Business Analytics Maturity of University Programmes." Sustainability 11, no. 3 (2019): 853. http://dx.doi.org/10.3390/su11030853.

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The impact that business analytics (BA) has on companies’ performance will cause, in the near future, a significant increase in the demand for specialists in the field. Universities will play an important role in covering the deficit of professionals already reported by companies, provided that their offer is tailored to real market demands and their students are prepared to acquire the appropriate knowledge and skills. This paper proposes a framework for assessing the maturity level of BA in economic university programmes, based on the knowledge and technical skills needed by BA professionals

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Agus Neny. "Pengaruh Bisnis Analitik dan Bisnis Intelijen terhadap Optimasi Operasional Sehingga Meningkatkan Kinerja Keuangan Distributor Alat Kesehatan di Indonesia." AKUNTANSI 45 5, no. 2 (2024): 1053–89. https://doi.org/10.30640/akuntansi45.v5i2.3476.

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The purpose of this study is to prove how business analytics (BA) and business intelligence (BI) implementation affects Indonesian medical equipment distributors' financial performance and operational optimization. Sixty representatives of medical equipment distribution enterprises with transaction values over one billion rupiah participated in an online questioner that was used to collect data. The analysis's findings show that these organizations' financial performance is significantly and favourably impacted by the application of business analytics, operational optimization, and intelligenc

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Mazher, Muhammad Ahmad, and Yasotha Nair Tramankuti. "Leveraging Business Analytics for Enhanced Decision-Making Navigating Challenges and Exploiting Opportunities." International Journal of Multidisciplinary: Applied Business and Education Research 5, no. 10 (2024): 4062–71. http://dx.doi.org/10.11594/ijmaber.05.10.21.

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Business analytics (BA) is revolutionizing how businesses use data to gain a competitive advantage. It offers opportunities for deeper customer insights, targeted marketing campaigns, improved customer satisfaction, new product and service opportunities, and optimized business processes. However, challenges like data quality, talent acquisition, and ethical considerations exist. This study reviews BA literature and discusses the challenges faced by organizations in implementing business analytics, including data availability, quality, skills and training, and technology infrastructure consider

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Daradkeh, Mohammad. "The Nexus between Business Analytics Capabilities and Knowledge Orientation in Driving Business Model Innovation: The Moderating Role of Industry Type." Informatics 10, no. 1 (2023): 19. http://dx.doi.org/10.3390/informatics10010019.

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The importance of business analytics (BA) in driving knowledge generation and business innovation has been widely discussed in both the academic and business communities. However, empirical research on the relationship between knowledge orientation and business analytics capabilities in driving business model innovation remains scarce. Drawing on the knowledge-based view and dynamic capabilities theory, this study develops a model to investigate the interplay between knowledge orientation and BA capabilities in driving business model innovation. It also explores the moderating role of industry

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Nataliya, Poluektova. "INTELLIGENT DATA ANALYSIS VS CLASSIC BUSINESS ANALYTICS: CURRENT TRENDS." Digital Economy and Information Technologies 1, no. 1 (2022): 1–8. https://doi.org/10.5281/zenodo.8328287.

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The work presents an integrative analysis of sources, which allows identifying modern trends in the development of business analysis methods, technologies, and tools. It is proven that there is a tendency to introduce new approaches in business analysis at all levels of corporate management, which allow to move from reactive to proactive analysis, from static to dynamic data, from analysis based on historical data, to operational analysis. The work describes the methods and practical implementation of methods that allow you to implement: processing of large data in various formats that are add

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Vashishtha, Atul. "Business Analytics: A Simplified Review." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 1835–38. http://dx.doi.org/10.22214/ijraset.2022.46526.

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Abstract: Business analytics is primarily about getting the most out of data. Data has lately been dubbed "the new oil" rather than the "sludge of the information era." While data can be used to develop new products and services, identify market niches, and spot new opportunities, it is also notoriously amorphous and difficult to extract value from. It involves different steps to get the insights from the data present majorly involving approaches like Aligning strategy, desired behaviors, and business performance management with analytical activities and capabilities is necessary to derive val

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Irfan, Abbas, Ahmad Munib, Imran Muhammad, et al. "Role of data mining techniques in business." Indian Journal of Science and Technology 14, no. 5 (2021): 508–18. https://doi.org/10.17485/IJST/v14i5.315.

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Abstract <strong>Objective:</strong> The main objective is to elaborate and discuss different techniques used in data mining, to analyze different strategies of data mining to make improvements, and to find more powerful mining techniques for the betterment of the business. <strong>Methods:</strong> Multiple techniques and strategies of data mining are used to improve the business. We employed the data warehouse methods for the improvements of the business using Business Intelligence (BI) and Business Analytics (BA) along with their types and instruments. We are also discussing

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Alaskar, Thamir Hamad. "Innovation Capabilities as a Mediator between Business Analytics and Firm Performance." Sustainability 15, no. 6 (2023): 5522. http://dx.doi.org/10.3390/su15065522.

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Although business analytics (BA) play an important role in improving firm performance, various firms struggle to deliver their full benefits. Many researchers have investigated the capabilities required to achieve better value through BA, but none have addressed the impact of innovation capabilities as a contextual variable mediating the effects on firm performance. By adopting the Technology-Organization-Environment (TOE) framework, this study suggests a model to evaluate the impact of BA capabilities on firm performance and addresses the mediating role of innovation capabilities. A quantitat

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Shi, Zhengzhong, and Gang Wang. "Integration of big-data ERP and business analytics (BA)." Journal of High Technology Management Research 29, no. 2 (2018): 141–50. http://dx.doi.org/10.1016/j.hitech.2018.09.004.

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Zhou, Yinbo. "Application of Generative Artificial Intelligence in Business Analytics: Innovations and Challenges." Advances in Economics, Management and Political Sciences 99, no. 1 (2024): 148–56. http://dx.doi.org/10.54254/2754-1169/99/2024ox0206.

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Generative Artificial Intelligence (GAI) is increasingly being used in the field of business analytics (BA) and has important research significance. The main question of this study is to explore how GAI can improve the efficiency of BA and solve existing problems. Through literature review and case analysis, this paper deeply explores the application of GAI in predictive analysis, sentiment analysis and customized services, as well as its actual cases in real estate search and enterprise operations. The main conclusion is that GAI can significantly improve the efficiency and effectiveness of B

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Tung, Pooi Lee, Yu Shin Chan, Jun Hong Lim, and NUR AZALIAH ABU BAKAR. "Leveraging Business Analytics for Optimized Supply Chain Management in Healthcare: A Comprehensive Review." Open International Journal of Informatics 12, no. 2 (2024): 67–77. https://doi.org/10.11113/oiji2024.12n2.319.

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This paper examines the integration of Business Analytics (BA) within Supply Chain Management (SCM) in the healthcare sector. The healthcare sector has increasingly embraced Business Analytics to enhance Supply Chain Management, promising to streamline operations and improve decision- making. for future research directions. The systematic review method was employed to gather relevant literature from databases such as Scopus, Web of Science, and Google Scholar, focusing on themes related to BA in healthcare SCM. The study identifies key themes such as operational efficiency, decision-making enh

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Ratia, Milla, Jussi Myllärniemi, and Nina Helander. "The potential beyond IC 4.0: the evolution of business intelligence towards advanced business analytics." Measuring Business Excellence 23, no. 4 (2019): 396–410. http://dx.doi.org/10.1108/mbe-12-2018-0103.

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Purpose The private health care sector is seeking to improve their understanding of business processes to be able to improve their performance. The purpose of this paper is to understand the future needs of the private health care sector organizations in terms of business intelligence (BI) and business analytics (BA) to ensure value creation. Design/methodology/approach The four evolution stages of intellectual capital enriched by managerial data-driven approach are used as a framework to point out the future of BI or BA in the private healthcare sector. The research includes private health ca

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Adaileh, Mohammad J., Muneer Alrwashdeh, Hasan Z. Abu AlZeat, and Nesrin salim Almatarneh. "The antecedents of supply chain performance: Business analytics, business process orientation, and information systems support." Uncertain Supply Chain Management 10, no. 2 (2022): 399–408. http://dx.doi.org/10.5267/j.uscm.2021.12.012.

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This study investigates the impact of business analytics (BA) on supply chain performance (SCP) in Saudi industrial companies. It also investigates the mediating impact of information systems supporting (ISS) and business process orientation (BPO). A total of 373 respondents working in 38 manufacturing companies in the Kingdom of Saudi Arabia (KSA) were selected. A scale with acceptable validity and reliability indicators was developed to measure the study variables. The results indicated significant indirect impact of the business analytics (planning, supply, make, delivery) on supply chain p

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Dang, Mandy Yan, Yulei Gavin Zhang, and M. David Albritton. "Impact of Course Learning Factors on Student Interest in Business Analytics Careers." International Journal of Information and Communication Technology Education 19, no. 1 (2023): 1–19. http://dx.doi.org/10.4018/ijicte.324160.

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Advancements in internet technology have fundamentally changed how companies conduct their business activities, leading us into a business analytics (BA) era. In this article, the authors aim to investigate factors that could shape students' career choice considerations toward BA jobs after they have been exposed to BA course content in an undergraduate BA course. They investigated various theoretical perspectives, including experiential and active learning theories and social cognitive career theory, and developed a research model. The model testing results show that the organization and logi

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Cruz Pantano, Juan, and María Romagnano. "Business Intelligence and Analytics Assisted by Free Software Tools." International Journal of Combinatorial Optimization Problems and Informatics 13, no. 2 (2022): 14–32. https://doi.org/10.61467/2007.1558.2022.v13i2.260.

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At present, companies face new economic models and to be dedicated a lot of time and resources to get, process, apply, and project information. If they do not collect the appropriate data, the information generated will not be accurate, the results will likely be wrong, and any decision made will not be the most appropriate. Business Intelligence (BI) and Business Analytics (BA), used properly, can present competitive advantages, allowing organizations to know their current status and forecast future market behaviour, carrying out proactive actions based on predictive and prescriptive analysis

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Gangotra, Amrita, and Ravi Shankar. "Strategies in managing risks in the adoption of business analytics practices." Journal of Enterprise Information Management 29, no. 3 (2016): 374–99. http://dx.doi.org/10.1108/jeim-10-2014-0096.

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Purpose – There are various risks that can derail the adoption of business analytics (BA) practice in a telecom service provider (TSP) thereby jeopardising the possibility to increase profitability and improved customer experience. The purpose of this paper is to analyse different associated risks using situation-actor-process, learnings-actions-performance (SAP-LAP) model and build mitigation strategies for the adoption. Also the risks are ranked using the interactive ranking process (IRP) methodology and the dominating matrix provides insight to the actions and actors that need attention to

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Wang, Yichuan, and Terry Anthony Byrd. "Business analytics-enabled decision-making effectiveness through knowledge absorptive capacity in health care." Journal of Knowledge Management 21, no. 3 (2017): 517–39. http://dx.doi.org/10.1108/jkm-08-2015-0301.

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Purpose Drawing on the resource-based theory and dynamic capability view, this paper aims to examine the mechanisms by which business analytics (BA) capabilities (i.e. the effective use of data aggregation, analytics and data interpretation tools) in healthcare units indirectly influence decision-making effectiveness through the mediating role of knowledge absorptive capacity. Design/methodology/approach Using a survey method, this study collected data from the hospitals in Taiwan. Of the 155 responses received, three were incomplete, giving a 35.84 per cent response rate with 152 valid data p

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Rodrigues, João Paulo, Maria José Sousa, and Ana Brochado. "A Systematic Literature Review on Hospitality Analytics." International Journal of Business Intelligence Research 11, no. 2 (2020): 47–55. http://dx.doi.org/10.4018/ijbir.20200701.oa2.

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With the growth of data generated by all systems involved in a hotel, terms like big data and business analytics (BA) gain strength within the hotel industry. Business analytics can be used in hospitality management to increase business knowledge and to improve the decision-making process. This study's main questions are: RQ1 – Which are the main research attributes studied in the past two decades related to analytics in the hospitality sector? RQ2 – What are the main differences between business intelligence and business analytics? RQ3 – What are the main trends in business analytics? RQ4 – W

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Ingracio, Paulo Tadeu Peres, and Silvana Sá de Carvalho. "BUSINESS ANALYTICS IN SMART CITES. UM OLHAR SOBRE SALVADOR/BA." Revista ft 29, no. 145 (2025): 30–31. https://doi.org/10.69849/revistaft/ra10202504122230.

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O crescimento populacional previsto para os próximos anos está ancorado com a previsão do aumento da pobreza, da violência, da poluição, da crise hídrica e ambiental. Como provável solução, surgem as denominadas “Cidades Inteligentes”, ou seja, cidades politicamente corretas, que utilizam a inovação, governança digital, sustentabilidade ambiental, eficiência energética, mobilidade urbana adequada, infraestrutura tecnológica de alto padrão, conectividade e engajamento ativo dos cidadãos para melhoria da qualidade de vida. Para contribuir com o alcance desses objetivos, temos na tecnologia o pri

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Gorman, Michael F., Donald E. Wynn, and William David Salisbury. "Searching for Herbert Simon." International Journal of Business Intelligence Research 4, no. 1 (2013): 1–12. http://dx.doi.org/10.4018/jbir.2013010101.

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Since Herbert Simon’s seminal work (Simon, 1957) on bounded rationality researchers and practitioners have sought the “holy grail” of computer-supported decision-making. A recent wave of interest in “business analytics” (BA) has elevated interest in data-driven analytical decision making to the forefront. While reporting and prediction via business intelligence (BI) systems has been an important component to business decision making for some time, BA broadens its scope and potential impact in business decision making further by moving the focus to prescription. The authors see BA as the end-to

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Okolo, Francess Chinyere, Emmanuel Augustine Etukudoh, Olufunmilayo Ogunwole, Grace Omotunde Osho, and Joseph Ozigi Basiru. "Systematic Review of Business Analytics Platforms in Enhancing Operational Efficiency in Transportation and Supply Chain Sectors." International Journal of Multidisciplinary Research and Growth Evaluation 4, no. 1 (2023): 1199–208. https://doi.org/10.54660/.ijmrge.2023.4.1.1199-1208.

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Business analytics (BA) platforms have become critical tools in driving operational efficiency across transportation and supply chain sectors. This systematic review explores the landscape of contemporary BA platforms, analyzing their capabilities, adoption trends, and the extent to which they contribute to performance optimization, decision-making, and real-time responsiveness. The review synthesizes evidence from peer-reviewed journals, industry reports, and case studies published over the last decade, identifying key themes such as predictive analytics, real-time monitoring, machine learnin

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Horani, Omar Mohammed, Ali Khatibi, Anas Ratib AL-Soud, Jacquline Tham, and Ahmad Samed Al-Adwan. "Determining the Factors Influencing Business Analytics Adoption at Organizational Level: A Systematic Literature Review." Big Data and Cognitive Computing 7, no. 3 (2023): 125. http://dx.doi.org/10.3390/bdcc7030125.

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The adoption of business analytics (BA) has become increasingly important for organizations seeking to gain a competitive edge in today’s data-driven business landscape. Hence, understanding the key factors influencing the adoption of BA at the organizational level is decisive for the successful implementation of these technologies. This paper presents a systematic literature review that utilizes the PRISMA technique to investigate the organizational, technological, and environmental factors that affect the adoption of BA. By conducting a thorough examination of pertinent research, this review

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Ko, Andrea, and Saira Gillani. "A Research Review and Taxonomy Development for Decision Support and Business Analytics Using Semantic Text Mining." International Journal of Information Technology & Decision Making 19, no. 01 (2020): 97–126. http://dx.doi.org/10.1142/s0219622019300076.

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By 2018, business analytics (BA), believed by global CIOs to be of strategic importance, had for years been their top priority. It is also a focus of academic research, as shown by a large number of papers, books, and research reports. On the other hand, the BA domain suffers from several incorrect, imprecise, and incomplete notions. New areas and concepts emerge quickly; making it difficult to ascertain their structure. BA-related taxonomies play a crucial role in analyzing, classifying, and understanding related objects. However, according to the literature on taxonomy development in informa

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Mortaji, Seyed Taha Hossein, and Soha Shateri. "Harnessing the Power of Business Analytics and Artificial Intelligence: A Roadmap to Data-Driven Success." International Journal of Innovation in Engineering 3, no. 3 (2023): 1–27. http://dx.doi.org/10.59615/ijie.3.3.1.

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This paper explores the intersection of business analytics (BA) and artificial intelligence (AI) and their profound impact on modern enterprises. The integration of advanced analytics techniques and AI algorithms enables organizations to extract valuable insights from vast amounts of data, optimize decision-making processes, and gain a competitive edge in today's data-driven economy. This paper presents an overview of business analytics and AI, their key concepts, methodologies, and applications. Furthermore, it highlights the benefits, challenges, and ethical considerations associated with le

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Sachin, Kumar, Prasad K. Krishna, and S. Aithal P. "Tech-Business Analytics – a Review-based New Model to Improve the Performances of Various Industry Sectors." International Journal of Applied Engineering and Management Letters (IJAEML) 7, no. 1 (2023): 67–91. https://doi.org/10.5281/zenodo.7657622.

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<strong>Purpose: </strong><em>Integration of ICCT underlying technologies and big data technology to develop a new kind of Business analytics that can be used to solve semi-structured and unstructured problems of various industry sectors i.e., primary, secondary, tertiary, and quaternary industry sectors. The new study is known as Tech-business analytics (TBA). The goal of this study is to better understand the idea of TBA and how it influences a company's innovation outcomes.</em> <strong>Design/Methodology/Approach:</strong> <em>The originality of business analytics products/services in

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Mei-Hui, Peng, and Dutta Bireswar. "Traversing the Adoption of Instigating Business Intelligence and Analytics in Coping Organization Performance: A Mixed Method Approach from Taiwan Perspective." WAR Journal of Multidisciplinary Bulletin (WARJMB) 1, no. 2 (2025): 01–11. https://doi.org/10.5281/zenodo.15442141.

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<em>The field of business analytics and intelligence (BIA) is becoming more and more critical for improving organizational performance. These days, data is not only valuable and crucial to the organization, but it is also acknowledged as being essential to boosting success and performance. Consequently, a great deal of money is invested by many firms in order to acquire more rapid, precise information in real-time. Even if a lot of firms employ business intelligence technology to get information, the previous study found that analytics implementation is still lacking in these organizations. Co

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Mohammed Horani, Omar, Ali Khatibi, Anas RATIB ALSoud, Jacquline Tham, Ahmad Samed Al-Adwan, and S. M. Ferdous Azam. "Antecedents of Business Analytics Adoption and Impacts on Banks’ Performance: The Perspective of the TOE Framework and Resource-Based View." Interdisciplinary Journal of Information, Knowledge, and Management 18 (2023): 609–43. http://dx.doi.org/10.28945/5188.

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Aim/Purpose: This study utilized a comprehensive framework to investigate the adoption of Business Analytics (BA) and its effects on performance in commercial banks in Jordan. The framework integrated the Technological-Organizational-Environmental (TOE) model, the Diffusion of Innovation (DOI) theory, and the Resource-Based View (RBV). Background: The recent trend of utilizing data for business operations and decision-making has positively impacted organizations. Business analytics (BA) is a leading technique that generates valuable insights from data. It has gained considerable attention from

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Rahman, Koushikur, Md Rafiqul Alam, Redoyan Chowdhury, and Sadiqur Rahman Chowdhury Urbi. "The Evolution of Business Analytics: Frameworks, Tools, and Real-World Impact on Strategic Decision-Making in the Digital Age." Pathfinder of Research 2, no. 2 (2024): 37–58. https://doi.org/10.69937/pf.por.2.2.30.

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In the digital age, as data is increasingly recognized as a strategic asset, business analytics (BA) has become a critical factor in organizational decision-making. From common decision support systems to advanced concentrated analytics platforms and AI used in modern business environments, this review provides an inspection of business analytics development. The integration of cloud computing and machine learning (ML) is one of the main topics tested in this article, emphasizing how these technologies change their business strategy. The review also examines the number of methods and tools cre

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Dr., A. G. Suryavanshi. "Application and Challenges of Data Analytics implementing in Accounting." International Journal of Advance and Applied Research S6, no. 6 (2025): 227–31. https://doi.org/10.5281/zenodo.15063718.

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<em>In the technological world, Data analytics is one of the tools in the hands of professionals for analysing data. It is nothing but a subset of Business Intelligence (BI), which is itself a subset of Business Analytics (BA). </em><em>Data science</em><em> and Business Intelligence (BI) helps in analysing a large amount of structured data to forecast and predict the future events. After introduction of GST in 2017, there is vast growth in the work of professionals as well as businesses, hence it is the need to businessman and accountants to make use data analytics to take a better

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Cavalcanti, Claudia. "GERENCIAMENTO DE RECEITA (RM) E BUSINESS ANALYTICS (BA) COMO UM RECURSO ESTRATÉGICO ORGANIZACIONAL." Revista Economia & Gestão 21, no. 59 (2021): 64–89. http://dx.doi.org/10.5752/p.1984-6606.2021v21n59p64-89.

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Objetivo deste artigo é compreender como Business Analytics é identificado como um recurso estratégico no contexto do Gerenciamento de Receita em uma companhia aérea. Nesse âmbito, para responder à questão central desta pesquisa optou-se pela condução de uma pesquisa qualitativa. O processo de coleta de dados foi realizado por meio de observação direta (não participante), de entrevistas e de análise documental. Para a análise de dados, foi realizada uma análise de conteúdo pelo método de análise em espiral de Creswell (2013). Foi possível avançar na abordagem da Visão Baseada em Recursos ao fa

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Amit Kumar and Antu Roy. "Post-pandemic digital transformation: Leveraging AI and business analytics for it project success and organizational agility in the U.S." World Journal of Advanced Research and Reviews 26, no. 3 (2025): 702–13. https://doi.org/10.30574/wjarr.2025.26.3.2267.

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The COVID-19 pandemic served as a critical catalyst for digital transformation across U.S. industries, compelling organizations to rapidly adopt Artificial Intelligence (AI) and Business Analytics (BA) to navigate unprecedented disruptions. This study investigates the synergistic role of AI and BA in driving IT project success and enhancing organizational agility in the post-pandemic era. The accelerated shift to remote work, digital operations, and real-time data utilization underscored the urgency of integrating intelligent technologies into core business strategies. AI applications such as

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Rana, Nripendra P., Jawaher Abdulrahman Alomar, Kumod Kumar, Ransome Epie Bawack, and Muhammad Ovais Ahmad. "The Role of Technical and Top Management Support in the Continuance of Intention to Use Business Analytics." Journal of Global Information Management 33, no. 1 (2025): 1–23. https://doi.org/10.4018/jgim.379721.

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This study investigates the impact of perceived organizational support (POS) on employees' intentions to continue using business analytics (BA) tools. By integrating Organizational Support Theory (OST) and technology adoption models, the research highlights the critical roles of technical and top management support in influencing perceived compatibility and usefulness, which drive BA continuance intentions. Data were collected between August and October 2021 from employees across various industries in Ireland, Finland, and Sweden who used BA tools in their work. Using Partial Least Squares Str

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Azoury, Nehme, Dr Satya Subrahmanyam, and Dr Nada Sarkis. "The Influence of a Data-Driven Culture on Product Development and Organizational Success through the Use of Business Analytics." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 15, no. 2 (2022): 123–34. http://dx.doi.org/10.58346/jowua.2024.i2.009.

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A Data-Driven Culture (DDC) is believed to facilitate a business-focused cultural shift inside a company. Providing considerable returns to the businesses' goods and procedures breakthroughs is evaluated. Several companies have started using various sophisticated technology-integrated Business Analytics (BA) technologies to enhance their company performance. The progress in information and communication technologies has enabled companies to consider using BA solutions, including Artificial Intelligence (AI). This has significantly transformed companies' business-focused cultural environments,

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Muhammed Jouhar K. K. and K. Aravinthan. "A bigdata analytics method for social media behavioral analysis." Scientific Temper 15, no. 03 (2024): 2692–99. http://dx.doi.org/10.58414/scientifictemper.2024.15.3.37.

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Twitter on web-based entertainment has become an important part of everyday life. This medium provides a list of current events in real time, most of which is difficult to understand, so it must be sorted to find useful information. Human biology, pharmacology, and experimental factors influence their behavior. Twitter tweets are a text store that can reflect human emotions and sentiments. Behavior Analytics (BA) is analyzing the behavior of individuals. BA can be used to filter useful information from tweets in healthcare and business applications. This paper presents the analysis of human be

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Žigienė, Gerda, Egidijus Rybakovas, Rimgailė Vaitkienė, and Vaidas Gaidelys. "Setting the Grounds for the Transition from Business Analytics to Artificial Intelligence in Solving Supply Chain Risk." Sustainability 14, no. 19 (2022): 11827. http://dx.doi.org/10.3390/su141911827.

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As supply chains (SCs) become more complex globally, businesses are looking for efficient business analytics (BA), business intelligence (BI), and artificial intelligence (AI) tools for managing supply-chain risk. The tools and methodologies proposed by the supply-chain risk management (SCRM) literature are mostly based on experts’ judgments, their knowledge, and past data. The expert evaluation-based approach could be partly or fully replaced by AI solutions, increasing objectivity, impartiality, and impersonality, reducing sources of human mistakes, biases, and inefficiencies in SCRM. Howeve

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Al-Mawali, Hamzah, Esraa Alawamleh, Yaser Allozi, Aram Nawaiseh, and Muhammad Alshurideh. "Strategic management accounting, business analytics and sustainable competitiveness advantage: A mediated moderation effect of dynamic capabilities and competition intensity." Uncertain Supply Chain Management 13, no. 3 (2025): 557–74. http://dx.doi.org/10.5267/j.uscm.2024.8.011.

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This paper investigates the effect of Strategic Management Accounting (SMA) and Business Analytics (BA) on Sustainable Competitive Advantage (SCA). Moreover, it examines the mediating effect of Dynamic Capabilities (DY) and the moderating effect of Competition Intensity (CI) on direct relationships. The study used the survey method to collect data from listed companies in the Amman Stock Exchange, and the hypotheses were tested using Partial-Least Squares-Structural Equation Modelling. Based on the findings, DC mediates the relationship between SMA and SCA as well as BA and SCA. CI moderate on

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