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TopIntroduction
In today's digital economy, data strategy and emerging technologies are becoming crucial factors that influence the performance of businesses (Rialti et al., 2018). As companies navigate an increasingly interconnected and data-driven world, their ability to harness the power of data and effectively leverage emerging technologies has emerged as a critical determinant of success.
A data strategy, in essence, refers to an organization's comprehensive plan for identifying, collecting, storing, managing, using, and analyzing its data (Rajpurohit, 2017). A well-crafted data strategy empowers businesses to transform raw data into actionable insights, enabling informed decision-making across all levels of the organization.
On the other hand, emerging technologies refer to novel technologies that are currently under development or will be developed over the next few years and have the potential to significantly influence society and business operations (Dwivedi et al., 2019). Emerging technologies encompass diverse innovations, including Artificial Intelligence (AI) like ChatGPT, which enables machines to mimic human cognitive functions and perform tasks like natural language processing, image recognition, and predictive analysis. The Internet of Things (IoT) facilitates the interconnection of various devices, creating vast networks of data-sharing objects, while blockchain technology offers decentralized and secure data management through distributed ledgers. These technologies hold immense promise in revolutionizing industries, streamlining processes, and creating new business models.
Given the increasing significance of data and technology in the business landscape, it is paramount to understand their role in shaping business performance. Numerous organizations are investing in data strategies and adopting emerging technologies to gain a competitive edge, improve operational efficiency, and enhance customer experience (Sharma et al., 2020). When strategically managed and combined with cutting-edge technologies, forward-thinking companies recognize that their data assets can unlock valuable insights, foster innovation, and drive sustainable growth.
However, despite the growing awareness of the importance of data strategy and emerging technologies, the empirical understanding of their impact on business performance remains limited. Many organizations need help implementing effective data strategies, including data quality, privacy concerns, and integrating disparate data sources. Additionally, adopting emerging technologies requires significant investment, skill gaps, and organizational change, presenting opportunities and obstacles for businesses seeking to leverage their potential benefits.
Therefore, this study aims to contribute valuable insights to academic literature and business practices by empirically investigating the impact of data strategy and emerging technologies on business performance. By delving into this relationship, the study seeks to uncover patterns, identify success factors, and understand the challenges organizations encounter on their journey toward data-driven and technology-enabled excellence.
This research's findings can help businesses improve strategic decision-making, guide resource allocation, and provide practical recommendations for businesses seeking to thrive in an increasingly data-centric and technology-driven landscape. As the business world continues to evolve, the insights gained from this study will be crucial in shaping the strategies and practices of forward-looking organizations that aim to stay at the forefront of their industries.
The primary objective of this research is to empirically investigate the impact of data strategy and emerging technologies on business performance. Specifically, the study aims to address the following research questions:
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How does data strategy influence business performance?
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What is the impact of emerging technologies on business performance?
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How does the interplay between data strategy and emerging technologies affect business performance?
TopLiterature Review
In recent years, there has been growing interest in the relationship between data strategy and business performance, with many organizations recognizing the potential benefits of adopting a data-driven approach to decision-making. Data-driven decision-making involves collecting and analyzing data to identify patterns, trends, and insights that can inform strategic and operational decisions.