Factors influencing business intelligence and analytics usage extent in South African organisations

Lautenbach, P.; Johnston, Kevin; Adeniran-Ogundipe, T.

doi:10.4102/sajbm.v48i3.33

Cited by 33 publications

(35 citation statements)

References 30 publications

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“…Organizations that have developed aspects of technological readiness are more successful in adopting various information and communication technologies important for the development of smart cities. For example, business intelligence and knowledge management systems (Bhatiasevi and Naglis, 2020;Lautenbach, Johnston and Adeniran Ogundipe, 2017), cloud computing (Hassan et al, 2017, Hossain, Standing, & Chan, 2017 and the Internet of Things (Ching-Wen and Ching-Chiang, 2017). Furthermore, absorption capacity positively influences the adoption of information and communication technologies such as RFID technology, which is important for smart cities (Weia, Lowry and Seedorf, 2015).…”

Section: Discussionmentioning

confidence: 99%

Adoption of big data technologies in smart cities of the European Union: Analysis of the importance and performance of technological factors

Pivar

2021

Croatian Regional Development Journal

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The cities of the European Union are adopting big data technologies in their development towards a smart city. Given that big data technologies are complex and disruptive technologies, it is necessary to determine the importance of factors and their aspects for the adoption of big data technologies in cities. The aim of this paper is to identify the most important aspects of technological factors in the adoption of big data technologies in the cities of the European Union. In order to achieve the goal of the paper a survey was conducted on a sample of European Union cities, and on the collected data, an analysis of the map of importance and performance of factors for the adoption of big data technologies was conducted. The results of the research show that the aspects of absorption capacity and technological readiness of EU cities are of relatively high importance, but with low levels of performance in relation to organizational and environmental factors. The contribution of the paper consists of general guidelines for increasing the level of technological readiness and absorption capacity of cities in order to increase the success of the adoption of big data technologies in the cities of the European Union.

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Section: Discussionmentioning

confidence: 99%

Adoption of big data technologies in smart cities of the European Union: Analysis of the importance and performance of technological factors

Pivar

2021

Croatian Regional Development Journal

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“…BI&A helps organizations gain a better view of their private data and thus improves fact-based decision-making. These methodologies and data analysis also help to maintain competitive advantage in addition to resolving technical and quality problems that will enhance the performance and productivity of enterprises [42,43].…”

Section: Understand the Market Conditions (Umc)mentioning

confidence: 99%

Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value

Ahmed¹

2021

E-Business - Higher Education and Intelligence Applications

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Currently, business intelligence (BI) systems are used extensively in many business areas that are based on making decisions to create a value. BI is the process on available data to extract, analyze and predict business-critical insights. Traditional BI focuses on collecting, extracting, and organizing data for enabling efficient and professional query processing to get insights from historical data. Due to the existing of big data, Internet of Things (IoT), artificial intelligence (AI), and cloud computing (CC), BI became more critical and important process and received more great interest in both industry and academia fields. The main problem is how to use these new technologies for creating data-driven value for modern BI. In this chapter, to meet this problem, the importance of big data analytics, data mining, AI for building and enhancing modern BI will be introduced and discussed. In addition, challenges and opportunities for creating value of data by establishing modern BI processes.

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“…Numerous studies indicate that business advantages can be obtained by exploiting performance measurement methods [2], [8]- [12]. However, with the increase in available data and reporting measures, their impact needs to be assessed.…”

Section: Figure 1: Increase In Studies With the Abstract 'Business Imentioning

confidence: 99%

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Factors influencing business intelligence and analytics usage extent in South African organisations

Cited by 33 publications

References 30 publications

Adoption of big data technologies in smart cities of the European Union: Analysis of the importance and performance of technological factors

Adoption of big data technologies in smart cities of the European Union: Analysis of the importance and performance of technological factors

Modern Business Intelligence: Big Data Analytics and Artificial Intelligence for Creating the Data-Driven Value

Evaluating the Impact of Operational Reports

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