The Systematic Literature Review on Business Intelligence Towards Entrepreneurial Orientation of Ventures

Introduction

Globally, there is an enormous boom of information. Prior to the communication age, which is commonly defined as 20–30 years ago, the rate of information growth was arithmetical. Information is growing in geometric series these days (Sen et al., 2016). It has been a few decades since people began to live and work online much more frequently (Corvello et al., 2022). With the advent of digitization, business executives are encouraged to use a huge amount of data to align their operations and generate innovative products to cater to their customers (Saleem et al., 2020). A new venture's creation and the development of its launch are impacted by enabling technologies, such as artificial intelligence and big data (Oukil, 2011). Businesses have to work hard to get the data they need to make better decisions in a highly competitive, dynamic, and unstable market. Due to the availability of more data via electronic channels for communication, processing, and acquisition, business intelligence (BI) has gained popularity. This data may serve as the foundation for intelligence techniques (Caseiro & Coelho, 2018). Strategic orientations of global market organisations are linked to knowledge management, and big data is an area that is closely tied to business intelligence (Cadogan, 2012). The era of big data that businesses are in has an impact on how they process and use conventional intelligence e.g., collection, utilisation (Gnizy, 2019). It is possible to achieve a 4–6% increase in productivity in business processes using big data usage (Müller et al., 2018). A business's chances of succeeding in its industry's digital competition increase with its level of entrepreneurship. This is due to the fact that entrepreneurs are more receptive to new technologies and quick to adapt to shifting trends (Ismail, 2023). Gathering and evaluating data are two steps in the creation of intelligence. Information regarding market trends must be gathered by the entire organisation; the marketing department is not the only one responsible for these efforts. Investment and entrepreneurship are finding new opportunities in several domains thanks to big data (Sedkaoui, 2020). The use of big data techniques, such as Hadoop and MapReduce, to gain insight from large amounts of data (H. Chen et al., 2012). In order to find new prospects, entrepreneurial orientation (EO) promotes exploration activities and places a strong emphasis on knowledge discovery (H. Chen & Hsu, 2013). Many organisational traits have been proposed by academics to help us comprehend the place of entrepreneurial orientation in the nomological network that surrounds managers' use of information systems and their capacity for sensing (Roberts et al., 2016).

On the other hand, small enterprises are finding it easier to obtain market intelligence resources thanks to government support and technology-assisted delivery. Small companies might benefit from online personalised portals. Features more user-friendly and adaptable dashboards that offer segmentations, real-time transactional data, and customer profiles (Carson et al., 2020). Over the past several decades, one of the most important changes in international commerce has been the use of digital technologies, platforms, and infrastructures made possible by the Internet (Gnizy, 2019). Top-performing organisations use sophisticated information and analytics techniques five times more frequently than low-performing organisations, according a global study of 3000 company managers, executives, and analysts from a range of industries and regions (Lavalle et al., 2011).