Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)

Chen, Yili; Li, Congdong; Wang, Han

doi:10.3390/forecast4040042

Cited by 22 publications

(8 citation statements)

References 69 publications

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“…AI is essential in augmenting customer experiences and generating customer pleasure, loyalty, and recommendations [29,30]. Big data from user-generated content are important for studying tourists' attitudes, perception, and curiosity [31][32][33]. Modern tools can contribute to the consumer experience through stress management and emotional intelligence [33].…”

Section: Modern Technologiesmentioning

confidence: 99%

Exploring the Impact of Smart Technologies on the Tourism Industry

Ionescu,

Sârbu

2024

Sustainability

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The implementation of smart technologies in the tourism industry has become a new trend. This is aimed at enriching tourists’ experiences and improving their satisfaction. The purpose of the present paper is to enhance tourists’ experiences and to increase tourists’ satisfaction using smart technologies and to identify experts’ perspectives regarding the use of these technologies. This research was conducted using quantitative and qualitative research. In the process of data collection, the research involved a questionnaire which focused on tourists’ experiences with various smart technologies and their intentions to return to the visited region. An exploratory factor analysis was applied to determine the elements of satisfaction and their attribute levels in different Romanian touristic regions. This study employed an analysis of variance to determine whether groups with different reasons for visiting exhibit varying levels of satisfaction and whether the touristic regions under investigation generate differing levels of satisfaction. Cross-tabulation and a Pearson’s chi-square test were used to determine whether the tourists’ segment influenced their intention to revisit specific regions. The research was augmented using qualitative research based on the Delphi technique to identify experts’ opinion on the impact of smart tourism technologies on the Romanian tourism industry. This study presents a global perspective on the current situation of smart technologies in the Romanian tourism sector. The results indicate that there is a significant relationship between tourists’ satisfaction and their perception of the value of smart technologies. The use of smart technologies has a positive impact on the experiences of tourists during all phases of their journey. Romania’s tourism capabilities can support the development of smart and sustainable tourism. Smart technologies have a double role in the tourism industry. They can enhance satisfaction by introducing new experiences while also improving the operational efficiency and sustainability of tourist destinations. The use of smart solutions will be essential in creating smooth and unforgettable tourist experiences as the industry develops. Their theoretical and practical implications are deduced. This paper provides valuable information not only for organizational practitioners considering the implementation of smart technology solutions, but also for academics wishing to develop this area of study.

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Section: Modern Technologiesmentioning

confidence: 99%

Exploring the Impact of Smart Technologies on the Tourism Industry

Ionescu,

Sârbu

2024

Sustainability

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“…This section synthesizes key trends in AI and Data Analytics within the BI domain, drawing on recent scholarly works. Chen, Li, and Wang (2022) conducted a bibliographic study focusing on the integration of big data technology and predictive analytics in BI, particularly for decision-making. Their research, spanning from 2000 to 2021, reveals a growing trend in the application of big data and AI-based methods in BI.…”

Section: Key Trends In Ai and Data Analytics In Business Intelligencementioning

confidence: 99%

Business Intelligence Transformation Through Ai and Data Analytics

Emmanuel Osamuyimen Eboigbe,

Oluwatoyin Ajoke Farayola,

Funmilola Olatundun Olatoye

et al. 2023

Eng. sci. technol. j.

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This paper delves into the transformative role of Artificial Intelligence (AI) and Data Analytics in the realm of Business Intelligence (BI), marking a significant shift in the landscape of business decision-making and strategic planning. The study's purpose was to comprehensively explore the evolution of BI, underscored by the integration of AI and advanced data analytics, and to project the future trajectory of these technologies within the business context. Adopting a systematic literature review as its methodology, the study meticulously analyzed a wide array of scholarly articles and industry reports. This approach facilitated a deep understanding of the historical development of BI, the current synergy between AI, Data Analytics, and BI, and the emerging trends shaping their future. The inclusion and exclusion criteria for sources were rigorously applied to ensure the relevance and quality of the information gathered. The findings of the study highlighted a paradigm shift from traditional data processing methods to AI-driven predictive analytics, significantly enhancing the efficiency, accuracy, and predictive capabilities of BI tools. This evolution has redefined business operations, offering unprecedented insights and fostering more informed decision-making processes. Conclusively, the study posits that the integration of AI and Data Analytics into BI is a fundamental, rather than a transient, shift in business operations. It recommends further exploration into the ethical implications of AI in BI, the development of user-friendly AI tools for non-technical users, and an examination of the long-term impacts of AI-driven BI across various industries. The study's classical and engaging tone aims to captivate and inform a diverse audience, from academic researchers to industry practitioners. Keywords: Artificial Intelligence, Business Intelligence, Data Analytics, Predictive Analytics.

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“…Digitalization refers to the utilization of diverse technologies, such as cloud technologies, sensors, big data, and 3D printing, to develop new products, digital services, and innovative business models [56]. The instruments of digitalization encompass a wide range of solutions, including Management Information systems (MIS), Enterprise Resource Planning (ERP) systems, cloud computing (CC), Big Data Analytics (BDA), Customer Relationship Management (CRM) systems, Robotic Process Automation (RPA), the Internet of Things (IoT), Artificial Intelligence/Machine Learning (AI/ML), Digital Collaboration Tools (DCC), E-commerce platforms, and Blockchain technology (BC) [57], [58], [59], [60], [61], [62], [63], [64], [65], [66], [67], [68].…”

Section: Digitalization Its Instruments and Its Impact On Company Per...mentioning

confidence: 99%

Impact of Digitalization on Budgeting Functions: An Investigation into Contingency Theory Perspectives

Piosik,

Karmańska

2023

Preprint

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The objectives of this article are to examine whether the application of digitalization in enterprise budgeting affects the fulfilment of budgeting functions and their qualitative characteristics, and to investigate whether the realization of budgeting functions brings benefits. The research was conducted from the perspective of contingency theory, both internal and external conditions. The study used an online survey targeting company budgeting staff. Structural Equation Modelling was utilized to validate the structural model (PLS-SEM technique). The conclusions confirm that the application of digitalization, which particularly pertains to ERP, Business Intelligence systems and accounting systems with budgeting solutions, positively impacts the fulfilment of budgeting functions and most of their qualitative characteristics, while Blockchain makes a minor contribution. Our research suggests that contingency variables, particularly internal ones such as company size, the quality of the organizational structure, and support for competitive strategy, continue to affect budgeting implementation even with the participation of digitalization in budgeting. Budgeting functions and their qualitative aspects are notably correlated with the advantages derived from budgeting, including financial performance, sustainable development and budget task execution.

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Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)

Cited by 22 publications

References 69 publications

Exploring the Impact of Smart Technologies on the Tourism Industry

Exploring the Impact of Smart Technologies on the Tourism Industry

Business Intelligence Transformation Through Ai and Data Analytics

Impact of Digitalization on Budgeting Functions: An Investigation into Contingency Theory Perspectives

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